{"_links":{"self":{"href":"/api/v2/search"},"first":{"href":"/api/v2/search"},"last":{"href":"/api/v2/search?page=3502"},"next":{"href":"/api/v2/search?page=2"}},"count":20,"total":70023,"_embedded":{"stash:datasets":[{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.sf7m0cgms"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.sf7m0cgms/versions"},"stash:version":{"href":"/api/v2/versions/438800"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.sf7m0cgms/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.sf7m0cgms","id":175473,"storageSize":141911233,"relatedPublicationISSN":"1937-9145","title":"Peripheral CRH orchestrates neuropathic pain through transcriptional control by SMAD1 and spinal CRHR2 activation","authors":[{"firstName":"Cheng","lastName":"He","email":"hecheng@ntu.edu.cn","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":0},{"firstName":"Ling-Jie","lastName":"Ma","email":"malingjie@ntu.edu.cn","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"orcid":"0000-0003-0664-6163","order":1},{"firstName":"Yuan-Yuan","lastName":"Fu","email":"fuyuanyuan@fmmu.edu.cn","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":2},{"firstName":"Ke-Chen","lastName":"Zhang","email":"3010106977@qq.com","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":3},{"firstName":"Ye","lastName":"Tao","email":"2249209098@qq.com","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":4},{"firstName":"Xiao","lastName":"Wei","email":"993495920@qq.com","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":5},{"firstName":"Yong-Liang","lastName":"Shen","email":"1655267158@qq.com","affiliation":"Yancheng Third People's Hospital","affiliationROR":"https://ror.org/030cwsf88","affiliations":[{"name":"Yancheng Third People's Hospital","ror_id":"https://ror.org/030cwsf88"}],"order":6},{"firstName":"Juan","lastName":"Wang","email":"wangjuan1@ntu.edu.cn","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"order":7},{"firstName":"Yong-Jing","lastName":"Gao","email":"gaoyongjing@ntu.edu.cn","affiliation":"Affiliated Hospital of Nantong University","affiliationROR":"https://ror.org/001rahr89","affiliations":[{"name":"Affiliated Hospital of Nantong University","ror_id":"https://ror.org/001rahr89"}],"orcid":"0000-0002-7432-7458","order":8},{"firstName":"Zhi-Jun","lastName":"Zhang","email":"zhzhj@ntu.edu.cn","affiliation":"Nantong University","affiliationROR":"https://ror.org/02afcvw97","affiliations":[{"name":"Nantong University","ror_id":"https://ror.org/02afcvw97"}],"orcid":"0000-0001-6996-8683","order":9}],"abstract":"\u003cp\u003eNeuropathic pain is a debilitating condition that lacks effective treatments. Corticotropin-releasing hormone (CRH) is associated with the central neural circuits involved in stress and pain. Here, we identified a peripheral CRH–mediated signaling axis in dorsal root ganglion (DRG) and spinal neurons underlying neuropathic pain. Spared nerve injury (SNI) in male mice increased the abundance of CRH in small- and medium-diameter DRG neurons, specifically within their central terminals in the spinal dorsal horn. DRG-specific knockdown of CRH alleviated neuropathic pain. SNI increased Crh expression by inducing the binding of the transcription factor SMAD1 to the Crh promoter. Silencing SMAD1 in the DRG reduced neuropathic pain symptoms, which was accompanied by a decrease in the amount of CRH in the DRG tissue. Pharmacological antagonism of CRH receptor 2 (CRHR2), but not of CRHR1, attenuated neuropathic pain and suppressed the activation of spinal neurons and glia. Spinal CRHR2 is predominantly localized to excitatory neurons and somatostatin-positive interneurons in the superficial dorsal horn. These findings reveal a SMAD1-CRH-CRHR2 axis in DRG-to-spine signaling that promotes neuropathic pain and suggest that CRHR2 antagonists be explored for its management.\u003c/p\u003e\n","funders":[{"organization":"National Natural Science Foundation of China","identifierType":"ror","identifier":"https://ror.org/01h0zpd94","awardNumber":"82371229"},{"organization":"National Natural Science Foundation of China","identifierType":"ror","identifier":"https://ror.org/01h0zpd94","awardNumber":"82200817"},{"organization":"National Natural Science Foundation of China","identifierType":"ror","identifier":"https://ror.org/01h0zpd94","awardNumber":"31970938"}],"keywords":["Neuro","Neuropathic pain","Itch"],"fieldOfScience":"Natural sciences","methods":"\u003cp\u003eAnimal models: spared nerve injury (SNI) in rodents.\u003c/p\u003e\n\u003cp\u003eBehavioral tests:\u003c/p\u003e\n\u003cp\u003eMechanical allodynia: von Frey filaments (paw withdrawal threshold, grams).\u003c/p\u003e\n\u003cp\u003eMotor coordination: Rotarod test (latency, seconds).\u003c/p\u003e\n\u003cp\u003eMolecular assays: qPCR (fold change relative to naïve/sham/treatment group).\u003c/p\u003e\n\u003cp\u003eImmunohistochemistry: CRH, SMAD1, c-Fos, GFAP, IBA1; colocalization with IB4, CGRP, NF200.\u003c/p\u003e\n\u003cp\u003ePharmacology:\u003c/p\u003e\n\u003cp\u003eCRHR1 antagonist NBI 27914 (1 μg/10 μL, i.t.).\u003cbr\u003e\nCRHR2 antagonist Astressin 2B (0.01–1 μg/10 μL, i.t.).\u003c/p\u003e\n\u003cp\u003eGene manipulation: siRNA (DRG injection), AAV-shRNA (spinal cord), luciferase promoter assay.\u003c/p\u003e\n","versionNumber":8,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.sf7m0cgms","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9zw3r22vg"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9zw3r22vg/versions"},"stash:version":{"href":"/api/v2/versions/438802"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9zw3r22vg/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.9zw3r22vg","id":173434,"storageSize":26036601,"relatedPublicationISSN":"2054-5703","title":"Data from: New fossil koala (Marsupialia: Phascolarctidae) from the Pleistocene of Western Australia","authors":[{"firstName":"Kenny","lastName":"Travouillon","email":"kenny.travouillon@museum.wa.gov.au","affiliation":"Western Australian Museum","affiliationROR":"https://ror.org/01a3yyc70","affiliations":[{"name":"Western Australian Museum","ror_id":"https://ror.org/01a3yyc70"}],"orcid":"0000-0003-1734-4742"},{"firstName":"Natalie","lastName":"Warburton","email":"n.warburton@murdoch.edu.au","affiliation":"Murdoch University","affiliationROR":"https://ror.org/00r4sry34","affiliations":[{"name":"Murdoch University","ror_id":"https://ror.org/00r4sry34"}]},{"firstName":"Kailah","lastName":"Thorn","email":"kailah.thorn@museum.wa.gov.au","affiliation":"Western Australian Museum","affiliationROR":"https://ror.org/01a3yyc70","affiliations":[{"name":"Western Australian Museum","ror_id":"https://ror.org/01a3yyc70"}],"orcid":"0000-0002-0645-835X"},{"firstName":"Helen","lastName":"Ryan","email":"helen.ryan@museum.wa.gov.au","affiliation":"Western Australian Museum","affiliationROR":"https://ror.org/01a3yyc70","affiliations":[{"name":"Western Australian Museum","ror_id":"https://ror.org/01a3yyc70"}]}],"abstract":"\u003cp\u003eFossils of koalas have been known from Western Australia since 1910, but are today regionally extinct. Jaws and bones were previously reported from several cave deposits in the south-west of WA, Koala Cave in Yanchep, and from Madura Cave on the Roe Plain. Due to the similarity of the dentition with the east coast koalas (Phascolarctos cinereus), they were traditionally assumed to be the same species. Two complete additional adult skulls were collected in the past 25 years. These skulls are interpreted to belong to a male and female koala, are similar in body size to koalas from Victoria, but the shape of the skulls differ significantly, in being relatively much shorter in length, and having obvious deep concavities on the maxilla, below the zygomatic arch. Differences from the eastern species are also apparent in the postcranial skeleton. Analysis of measurements on the skulls and teeth show that the Western Australian koala is morphologically distinct from its east coast relative and warrants consideration as its own species. It likely went extinct in WA as a result of climate change during the late Pleistocene, which reduced eucalyptus forests to around 5% of their current cover, reducing resources for food and shelter.\u003c/p\u003e\n","funders":[{"organization":"Foundation for the Western Australian Museum","identifierType":"ror","identifier":"","awardNumber":"","awardDescription":"","awardTitle":"Minderoo Project Grant","order":0}],"keywords":["Phascolarctomorphia","morphometric","phylogeny","South-West","Skeleton","Bayesian method"],"fieldOfScience":"Earth and related environmental sciences","versionNumber":4,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.9zw3r22vg","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rjdfn2zs6"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rjdfn2zs6/versions"},"stash:version":{"href":"/api/v2/versions/438758"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rjdfn2zs6/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.rjdfn2zs6","id":182595,"storageSize":335515952,"relatedPublicationISSN":"1553-7374","title":"Data from: Coronavirus M protein disperses the trans-Golgi network and inhibits anterograde protein trafficking in the secretory pathway","authors":[{"firstName":"Taylor","lastName":"Caddell","email":"taylor.caddell@dal.ca","affiliation":"Dalhousie University","affiliationROR":"https://ror.org/01e6qks80","affiliations":[{"name":"Dalhousie University","ror_id":"https://ror.org/01e6qks80"}],"orcid":"0000-0002-2628-9231"},{"firstName":"Rory","lastName":"Mulloy","email":"rory.mulloy1@ucalgary.ca","affiliation":"University of Calgary","affiliationROR":"https://ror.org/03yjb2x39","affiliations":[{"name":"University of Calgary","ror_id":"https://ror.org/03yjb2x39"}],"order":1},{"firstName":"Jennifer","lastName":"Corcoran","email":"jennifer.corcoran@ucalgary.ca","affiliation":"University of Calgary","affiliationROR":"https://ror.org/03yjb2x39","affiliations":[{"name":"University of Calgary","ror_id":"https://ror.org/03yjb2x39"}],"order":2},{"firstName":"Craig","lastName":"McCormick","email":"craig.mccormick@dal.ca","affiliation":"Dalhousie University","affiliationROR":"https://ror.org/01e6qks80","affiliations":[{"name":"Dalhousie University","ror_id":"https://ror.org/01e6qks80"}],"order":3},{"firstName":"Eric","lastName":"Pringle","email":"eric.pringle@dal.ca","affiliation":"Dalhousie University","affiliationROR":"https://ror.org/01e6qks80","affiliations":[{"name":"Dalhousie University","ror_id":"https://ror.org/01e6qks80"}],"order":4}],"abstract":"\u003cp\u003eThis dataset contains all biological replicates for immunoblots and immunofluorescence microscopy images associated with the manuscript \"Coronavirus M protein disperses the trans-Golgi network and inhibits anterograde protein trafficking in the secretory pathway\". These figures demonstrate that the SARS-CoV-2 M protein inhibits the ATF6 branch of the unfolded protein response but not the PERK or IRE1 branches. Additionally, the SARS-CoV-2 M protein localizes to the \u003cem\u003ecis\u003c/em\u003e-Golgi while leading to dispersal of the \u003cem\u003etrans\u003c/em\u003e-Golgi network and preventing anterograde trafficking of host proteins beyond the \u003cem\u003ecis\u003c/em\u003e-Golgi. Furthermore, SARS-CoV-2 M recruits cholesterol to this site. This data provides a greater understanding of how SARS-CoV-2 M restructures the host secretory pathway which consequentially inhibits host protein trafficking and secretion, outlining a novel role for coronavirus M proteins beyond assembly and structure.\u003c/p\u003e\n","funders":[{"organization":"Canadian Institutes of Health Research","identifierType":"ror","identifier":"https://ror.org/01gavpb45","awardNumber":"","awardDescription":"","awardTitle":"","order":0},{"organization":"CoVaRR-Net","identifierType":"ror","identifier":"","awardNumber":"","awardDescription":"","awardTitle":"","order":1},{"organization":"Nova Scotia COVID-19 Health Research Coalition Grants","identifierType":"ror","identifier":"","awardNumber":"","awardDescription":"","awardTitle":"","order":2}],"keywords":["Coronaviruses","Membrane proteins","Golgi apparatus","unfolded protein response"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2025.09.05.674545"}],"versionNumber":4,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.rjdfn2zs6","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.gmsbcc332"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.gmsbcc332/versions"},"stash:version":{"href":"/api/v2/versions/438808"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.gmsbcc332/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.gmsbcc332","id":174679,"storageSize":1126812,"relatedPublicationISSN":"0378-1127","title":"Data from: Assessing the effects of fire season, fire severity and rainfall on seedling establishment and mortality in dry eucalypt forests","authors":[{"firstName":"Ryan","lastName":"Tangney","email":"Ryan.Tangney@dbca.wa.gov.au","affiliation":"Department of Biodiversity, Conservation and Attractions","affiliationROR":"https://ror.org/04abk6t05","affiliations":[{"name":"UNSW Sydney","ror_id":"https://ror.org/03r8z3t63"},{"name":"Department of Biodiversity, Conservation and Attractions","ror_id":"https://ror.org/04abk6t05"}],"orcid":"0000-0002-6659-664X"},{"firstName":"Mark","lastName":"Ooi","email":"Mark.Ooi@unsw.edu.au","affiliation":"UNSW Sydney","affiliationROR":"https://ror.org/03r8z3t63","affiliations":[{"name":"UNSW Sydney","ror_id":"https://ror.org/03r8z3t63"}],"order":1},{"firstName":"Ben","lastName":"Miller","email":"Ben.Miller@dbca.wa.gov.au","affiliation":"Department of Biodiversity, Conservation and Attractions","affiliationROR":"https://ror.org/04abk6t05","affiliations":[{"name":"Department of Biodiversity, Conservation and Attractions","ror_id":"https://ror.org/04abk6t05"}],"orcid":"0000-0002-8569-6697","order":2}],"abstract":"\u003cp\u003eFire plays a crucial role in shaping ecosystems globally, yet climate change is driving complex shifts in fire regimes. Fire-weather seasons are lengthening, with many fire-prone ecosystems experiencing increased drying and rising temperatures. Consequently, fire is occurring more frequently outside historical fire seasons, potentially exposing vulnerable species to risk of decline. Here, we examine how fire season and severity interact to influence perennial plant post-fire recruitment in the dry eucalypt jarrah forests of southwest Western Australia. We assessed seedling recruitment and mortality of all species (except graminoids) following 11 fires across two years. The burns occurred in either autumn or spring, and plots were stratified across three severity classes. Each site was surveyed three times post-fire. Seedling density was highest within the first year following autumn fires. However, by the final survey year, densities were highest after moderate and high-severity 2021 spring fires. Emergence following spring fires in both years was delayed with a large portion of seeds remaining viable, anticipating future winter rains. Seedling mortality was highest following autumn fires but differed significantly between burn years. Complex interactions among fire season, fire severity, and post-fire weather collectively shape recruitment patterns, yet our results suggest jarrah forest communities are resilient to variation in fire season and severity. As Southwest Western Australia continues to dry and annual rainfall declines, understanding how these interactions, combined with post-fire weather, drive ecosystem composition will be increasingly important.\u003c/p\u003e\n","funders":[{"organization":"Australian Research Council","identifierType":"ror","identifier":"https://ror.org/05mmh0f86","awardNumber":"LP180100741","awardDescription":"","awardTitle":"","order":0}],"keywords":["Wildfires","Wildfire management","Ecology"],"fieldOfScience":"Earth and related environmental sciences","versionNumber":5,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.gmsbcc332","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.m37pvmdh7"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.m37pvmdh7/versions"},"stash:version":{"href":"/api/v2/versions/438816"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.m37pvmdh7/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.m37pvmdh7","id":181160,"storageSize":48820,"relatedPublicationISSN":"1879-3363","title":"Data from: Acute copper exposure alters respiratory physiology and upper thermal limits in green crab (\u003cem\u003eCarcinus maenas\u003c/em\u003e) at three global capture sites","authors":[{"firstName":"Robert","lastName":"Griffin","email":"ragriffi@ualberta.ca","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"orcid":"0000-0002-7992-4454"},{"firstName":"Connor B.","lastName":"Stewart","email":"","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"order":1},{"firstName":"Sidney","lastName":"Martin","email":"","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"order":2},{"firstName":"Fangshuai","lastName":"Wu","email":"","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"order":3},{"firstName":"Daniel S.","lastName":"Alessi","email":"","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"order":4},{"firstName":"Tamzin A.","lastName":"Blewett","email":"","affiliation":"University of Alberta","affiliationROR":"https://ror.org/0160cpw27","affiliations":[{"name":"University of Alberta","ror_id":"https://ror.org/0160cpw27"}],"order":5}],"abstract":"\u003cp\u003eThe green crab (\u003cem\u003eCarcinus maenas\u003c/em\u003e) is a globally invasive species, inhabiting marine environments around the world, and known for its tolerance to environmental perturbations. While the green crab is a common model species in ecotoxicology, it is critical to understand their relative sensitivities to toxicants and how this may vary among distinct populations. Here, we use a multi-stressor approach to evaluate the influence of acute copper exposure on the upper thermal tolerance of green crabs native to the Swedish North Sea and invasive to the Canadian Pacific and Atlantic Coastlines. Throughout thermal ramping, green crabs exhibited an increase in \u003cem\u003eṀ\u003c/em\u003eO\u003csub\u003e2\u003c/sub\u003e from the 16 ºC acclimation temperature to a peak \u003cem\u003eṀ\u003c/em\u003eO\u003csub\u003e2\u003c/sub\u003e at 33.5 – 34.5 ºC, followed by an abrupt decline and a subsequent collapse at their upper thermal limits. Corresponding thermal limits in green crabs decreased following both low (200 µg L\u003csup\u003e-1\u003c/sup\u003e) and high (600 µg L\u003csup\u003e-1\u003c/sup\u003e) copper exposure, exhibiting consistent reductions in upper thermal limits ~ 2 °C sooner, with oxygen consumption reaching a peak at 31.5 – 33 °C, and respiratory failure occurring between 36.5 – 36.8 °C in tested locations. This data therefore suggests few notable differences between capture locations, and while acute copper exposure is unlikely to influence green crab cardiorespiratory function in temperatures ranging from 16 to 28 °C, during extreme weather events or within shallow sun-exposed environments, prolonged exposure to temperatures exceeding 30 °C in combination with high Cu contamination would increase green crab susceptibility to thermal stress.\u003c/p\u003e\n","funders":[{"organization":"Fisheries and Oceans Canada","identifierType":"ror","identifier":"https://ror.org/02qa1x782","awardNumber":"","awardDescription":"","awardTitle":"Marine Conservation Targets under the Ecosystems and Ocean Sciences Contribution Framework ","order":0},{"organization":"Natural Sciences and Engineering Research Council of Canada","identifierType":"ror","identifier":"https://ror.org/01h531d29","awardNumber":"DGECR-2020-00068","awardDescription":"","awardTitle":"NSERC Discovery ","order":1},{"organization":"Natural Sciences and Engineering Research Council of Canada","identifierType":"ror","identifier":"https://ror.org/01h531d29","awardNumber":"RGPIN-2020-05289","awardDescription":"","awardTitle":"","order":2}],"keywords":["toxicant","Pollution","Metabolism","Marine and aquatic sciences","Metals"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1016/j.marpolbul.2026.119775"}],"versionNumber":2,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.m37pvmdh7","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.xpnvx0kt4"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.xpnvx0kt4/versions"},"stash:version":{"href":"/api/v2/versions/438835"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.xpnvx0kt4/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.xpnvx0kt4","id":163488,"storageSize":72406695,"relatedPublicationISSN":"0962-1083","title":"Data from: Examining marine assemblages across an inverse salinity gradient","authors":[{"firstName":"Kirsty","lastName":"Richards","email":"kirsty.richards@curtin.edu.au","affiliation":"Curtin University","affiliationROR":"https://ror.org/02n415q13","affiliations":[{"name":"Curtin University","ror_id":"https://ror.org/02n415q13"}],"orcid":"0000-0003-2885-0704"},{"firstName":"Simon","lastName":"Jarman","email":"simon.jarman@curtin.edu.au","affiliation":"Curtin University","affiliationROR":"https://ror.org/02n415q13","affiliations":[{"name":"Curtin University","ror_id":"https://ror.org/02n415q13"}],"order":1},{"firstName":"Benjamin","lastName":"Saunders","email":"Ben.saunders@curtin.edu.au","affiliation":"Curtin University","affiliationROR":"https://ror.org/02n415q13","affiliations":[{"name":"Curtin University","ror_id":"https://ror.org/02n415q13"}],"order":2},{"firstName":"Shaun","lastName":"Wilson","email":"sk.wilson@aims.gov.au","affiliation":"Australian Institute of Marine Science","affiliationROR":"https://ror.org/03x57gn41","affiliations":[{"name":"Australian Institute of Marine Science","ror_id":"https://ror.org/03x57gn41"}],"order":3},{"firstName":"Euan","lastName":"Harvey","email":"euan.harvey@curtin.edu.au","affiliation":"Curtin University","affiliationROR":"https://ror.org/02n415q13","affiliations":[{"name":"Curtin University","ror_id":"https://ror.org/02n415q13"}],"orcid":"0000-0002-9069-4581","order":4}],"abstract":"\u003cp\u003eSalinity gradients and fluctuations can create a natural ecological filter, with few species tolerating salinity above 50 practical salinity units (PSU). We investigated how an inverse salinity gradient affected marine community diversity and composition in Shark Bay, a remote hypersaline coastal embayment in Western Australia. We used 16S(fish), 18S, and 16S(Bacteria) eDNA metabarcoding assays to analyse genetic sequences collected from 220 surface water samples and 216 benthic roller samples. The 44 survey sites transcended a salinity gradient of 40.1 PSU in the Eastern Gulf to 76.0 PSU in Hamelin Pool. 24,011,345 eDNA sequencing reads were detected from 5,575 operational taxonomic units (OTUs). The number of Families and OTUs, and OTUs within key Phyla, all decreased with increasing salinity, the most dramatic changes occurring over a narrow salinity range (50 - 60 PSU). However, the relative proportion of Families from each Phyla contributing to the total assemblage within each salinity range remained relatively stable. Key processes may therefore be maintained across the salinity gradient, although redundancy and resilience are compromised as diversity declines and the taxonomic composition of the communities change. Although primary producers such as cyanobacteria, seagrass and the bivalve mollusc \u003cem\u003eFragum\u003c/em\u003e spp. were under-represented within our data set, this may be due to a limitation of the eDNA methods used rather than their lack of presence within the ecosystem. Even with these limitations, eDNA has proven a useful tool for examining the whole marine assemblage across an inverse salinity gradient in a remote area at a broad taxonomic level.\u003c/p\u003e\n","funders":[{"organization":"Australian Research Council","identifierType":"ror","identifier":"https://ror.org/05mmh0f86","awardNumber":"","awardDescription":"","order":0}],"keywords":["Marine environments","DNA","Marine ecology"],"fieldOfScience":"Natural sciences","relatedWorks":[{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1111/mec.70317"}],"versionNumber":2,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.xpnvx0kt4","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.4b8gthtt7"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.4b8gthtt7/versions"},"stash:version":{"href":"/api/v2/versions/438838"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.4b8gthtt7/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.4b8gthtt7","id":178520,"storageSize":112922746,"title":"Ovarian cancer ascites impacts natural killer and innate lymphoid cell phenotype and function within the tumor microenvironment","authors":[{"firstName":"Fahd","lastName":"Alhamdan","email":"fah4zan@gmail.com","affiliation":"Philipps University of Marburg","affiliationROR":"https://ror.org/01rdrb571","affiliations":[{"name":"Philipps University of Marburg","ror_id":"https://ror.org/01rdrb571"}],"orcid":"0000-0003-1617-9781"}],"abstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e Ovarian cancer (OC) is the most lethal gynecologic malignancy, with disease progression critically shaped by the tumor microenvironment. Ascitic fluid constitutes a complex cellular and soluble niche that promotes tumor growth and immune evasion; however, the innate lymphoid landscape within OC ascites remains poorly characterized.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e We performed single-cell RNA sequencing of natural killer (NK) cells isolated from OC ascites to resolve innate immune heterogeneity and differentiation states. Functional assays assessed NK cell cytotoxicity, degranulation, and receptor expression following exposure to ascites, with or without transforming growth factor-β (TGF-β) blockade. Proteomic profiling was used to define the ascites cytokine milieu.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e We identified eight distinct NK/innate lymphoid subclusters spanning cytotoxic, precursor, early-like, tolerant/immunoregulatory, regulatory, proinflammatory, and innate lymphoid cell (ILC) states. OC ascites were characterized by depletion of cytotoxic and precursor NK cells and enrichment of early-like, tolerant, regulatory, and proinflammatory populations. Pseudotime trajectory analysis revealed impaired maturation toward terminally differentiated cytotoxic NK cells. Notably, a functionally exhausted innate lymphoid cell 2 (ILC2) population accumulated in ascites and was associated with poor progression-free survival. Exposure of healthy donor NK cells to ascites impaired degranulation and killing of OVCAR-4 cells, reduced activating receptor expression (NKp30, DNAM-1), increased inhibitory receptor expression (PD-1, LAG-3, TIGIT), and induced a shift toward CD56\u003csup\u003ehigh\u003c/sup\u003eCD16\u003csup\u003elow\u003c/sup\u003e NK cells. Proteomic profiling revealed an immunosuppressive, type-2–polarized cytokine milieu enriched in TGF-β and ILC2-promoting mediators. Pharmacological TGF-β blockade partially restored NKp30/DNAM-1–dependent NK cell cytotoxicity.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e OC ascites establishes a type-2–skewed immunoregulatory niche that coordinately drives NK cell dysfunction and ILC2 accumulation. These findings provide a systems-level framework linking ascites-derived cues to innate immune remodeling and identify actionable pathways for restoring antitumor immunity in ovarian cancer.\u003c/p\u003e\n","funders":[{"organization":"Deutsche Forschungsgemeinschaft","identifierType":"ror","identifier":"https://ror.org/018mejw64","awardNumber":"KFO325","awardDescription":"","awardTitle":"","order":0}],"keywords":["Ovarian cancer","Immunology","Transcriptome analysis"],"fieldOfScience":"Biological sciences","hsiStatement":"Data Consent and De-identification Statement\nAll participants provided explicit informed consent for their data to be shared publicly in a de-identified form. Prior to release, all datasets were de-identified by removing personal identifiers and any information that could reasonably be used to re-identify individuals. Data are shared only in de-identified and non-linkable formats, and no re-identification keys are included.","versionNumber":3,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-27","lastModificationDate":"2026-04-27","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.4b8gthtt7","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.76hdr7t7t"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.76hdr7t7t/versions"},"stash:version":{"href":"/api/v2/versions/438739"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.76hdr7t7t/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.76hdr7t7t","id":167440,"storageSize":609697825,"relatedPublicationISSN":"1424-2818","title":"Data from: fine-scale population structure and relatedness of Argali (Ovis ammon) in Kyrgyzstan revealed by high-density SNP data","authors":[{"firstName":"Jennifer","lastName":"Thomson","email":"jennifer.thomson@montana.edu","affiliation":"Montana State University","affiliationROR":"https://ror.org/02w0trx84","affiliations":[{"name":"Montana State University","ror_id":"https://ror.org/02w0trx84"}],"orcid":"0000-0003-1921-0975","order":0},{"firstName":"Askar","lastName":"Davletbakov","email":"davaskar5@gmail.com","affiliation":"National Academy of Sciences of the Republic of Kyrgyzstan","affiliationROR":"https://ror.org/01md3zk31","affiliations":[{"name":"National Academy of Sciences of the Republic of Kyrgyzstan","ror_id":"https://ror.org/01md3zk31"}],"order":1},{"firstName":"Michael","lastName":"Frisina","email":"mike.frisina@montana.edu","affiliation":"Montana State University","affiliationROR":"https://ror.org/02w0trx84","affiliations":[{"name":"Montana State University","ror_id":"https://ror.org/02w0trx84"}],"order":2}],"abstract":"\u003cp\u003eThis dataset contains high-density SNP genotyping data from 72 Argali sheep (\u003cem\u003eOvis ammon\u003c/em\u003e) sampled across Kyrgyzstan and Tajikistan. Genotyping was performed using the Illumina Ovine High Density SNP array, and after quality control, 135,242 SNP markers were retained. The dataset supports analyses of population structure, subspecies delineation, and relatedness within the Tian Shan region. Results derived from this dataset indicate no genomic distinction between \u003cem\u003eO. a. polii\u003c/em\u003e and \u003cem\u003eO. a. karelini\u003c/em\u003e, suggesting they form a single genetic unit. The data also reveal moderate genetic substructure and relatedness patterns consistent with dominant male breeding systems. This dataset provides a genomic baseline for conservation planning and transboundary management of Argali populations in Central Asia.\u003c/p\u003e\n","keywords":["Argali","Ovis ammon","SNP genotyping","Population genetics","Conservation genetics","Central Asia","Illumina Ovine HD array","genetic structure","transboundary wildlife management"],"fieldOfScience":"Natural sciences","methods":"\u003cp\u003eWe analyzed genomic data from 88 Argali sheep (\u003cem\u003eOvis ammon\u003c/em\u003e) sampled in Kyrgyzstan and Tajikistan. Samples included blood, tissue, bone, horn, and desiccated skin, collected from legally harvested individuals and natural mortalities. DNA extraction protocols varied by sample type, using Maxwell and Qiagen kits, with specialized procedures for horn and bone following Harper et al. (2013).\u003c/p\u003e\n\u003cp\u003eGenotyping was performed using the Illumina High Density Ovine SNP array, originally developed for domestic sheep (\u003cem\u003eOvis aries\u003c/em\u003e), yielding 606,006 SNPs. After quality control—including filtering for call rate, mapping accuracy, minor allele frequency, and Hardy–Weinberg equilibrium—72 samples and 135,242 informative markers were retained. Linkage disequilibrium pruning was applied prior to principal component analysis (PCA).\u003c/p\u003e\n\u003cp\u003eGenomic analyses included PCA to assess population structure, identity-by-descent (IBD) to estimate relatedness, and inbreeding coefficient (Fis) calculations. All analyses were conducted using Golden Helix software. Raw genotypes and metadata are included in this dataset.\u003c/p\u003e\n","relatedWorks":[{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.3390/d18030194"}],"versionNumber":6,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"metadata_changed","publicationDate":"2026-04-26","lastModificationDate":"2026-04-26","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.76hdr7t7t","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.pzgmsbd22"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.pzgmsbd22/versions"},"stash:version":{"href":"/api/v2/versions/438582"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.pzgmsbd22/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.pzgmsbd22","id":173761,"storageSize":1266903419,"relatedPublicationISSN":"1558-5646","title":"Data and code from: Lifetime fitness and annual survival are heritable and highly genetically correlated in a wild primate population","authors":[{"firstName":"Beniamino","lastName":"Tuliozi","email":"beniamino.tuliozi@gmail.com","affiliation":"Duke University","affiliationROR":"https://ror.org/00py81415","affiliations":[{"name":"Duke University","ror_id":"https://ror.org/00py81415"}],"orcid":"0000-0001-5656-4858"},{"firstName":"Elizabeth","lastName":"Archie","email":"","affiliation":"University of Notre Dame","affiliationROR":"https://ror.org/00mkhxb43","affiliations":[{"name":"University of Notre Dame","ror_id":"https://ror.org/00mkhxb43"}],"order":1},{"firstName":"Jenny","lastName":"Tung","email":"","affiliation":"Leipzig University","affiliationROR":"https://ror.org/03s7gtk40","affiliations":[{"name":"Duke University","ror_id":"https://ror.org/00py81415"},{"name":"Max Planck Institute for Evolutionary Anthropology","ror_id":"https://ror.org/02a33b393"},{"name":"Canadian Institute for Advanced Research","ror_id":"https://ror.org/01sdtdd95"},{"name":"Leipzig University","ror_id":"https://ror.org/03s7gtk40"}],"order":2},{"firstName":"Susan","lastName":"Alberts","email":"","affiliation":"Duke University","affiliationROR":"https://ror.org/00py81415","affiliations":[{"name":"Duke University","ror_id":"https://ror.org/00py81415"}],"order":3}],"abstract":"\u003cp\u003eThe additive genetic variance (V\u003csub\u003eA\u003c/sub\u003e) of fitness quantifies the expected response to selection; lifetime breeding success (LBS) is an effective metric of fitness in animal populations. However, data on LBS are relatively rare for wild populations of long-lived species, while time-limited metrics such as annual survival or fertility are more readily available. The magnitude of V\u003csub\u003eA\u003c/sub\u003e for these time-limited metrics, and the degree to which they are genetically correlated with LBS, remains unclear in most cases. Here we estimated the V\u003csub\u003eA\u003c/sub\u003e and heritability (h\u003csup\u003e2\u003c/sup\u003e) of LBS and four time-limited fitness metrics in wild female baboons in Kenya. The most highly heritable metrics were LBS (h\u003csup\u003e2\u003c/sup\u003e=0.25) and annual survival (h\u003csup\u003e2\u003c/sup\u003e=0.23). Notably, all the V\u003csub\u003eA\u003c/sub\u003e for LBS was attributable to survival to first successful reproduction. Furthermore, all fitness metrics examined were highly genetically correlated with each other, supporting the potential use of time-limited metrics where LBS data are limited. Our analyses predicted faster phenotypic evolution than we observed, raising the possibility that environmental effects have masked responses to selection (“cryptic evolution”) or that social effects inflate estimated V\u003csub\u003eA\u003c/sub\u003e. Together, our findings reveal a substantial genetic contribution to variation in survival, and in turn, to fitness and contemporary evolution in a long-lived animal.\u003c/p\u003e\n","funders":[{"organization":"National Institute on Aging","identifierType":"ror","identifier":"https://ror.org/049v75w11","awardNumber":"5R01AG071684-05","awardURI":"https://reporter.nih.gov/project-details/11020949","awardDescription":"","awardTitle":"A life course perspective on gut microbiome aging and health in a non-human primate model","order":0},{"organization":"National Institute on Aging","identifierType":"ror","identifier":"https://ror.org/049v75w11","awardNumber":"5R01AG075914-05","awardURI":"https://reporter.nih.gov/project-details/11093478","awardDescription":"","awardTitle":"Gene regulation and social relationships across the life course in a nonhuman primate model","order":1},{"organization":"National Institute on Aging","identifierType":"ror","identifier":"https://ror.org/049v75w11","awardNumber":"5R61AG078470-02","awardURI":"https://reporter.nih.gov/project-details/10683337","awardDescription":"","awardTitle":"Developing insertable cardiac monitors to assess social and environmental effects on the autonomic stress response in a nonhuman primate model of aging","order":2}],"keywords":["Quantitative genetics","Fitness","Lifetime breeding success","Evolution","Baboons","Evolutionary ecology","genetic variance","annual survival"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2025.11.13.688343"}],"versionNumber":3,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-25","lastModificationDate":"2026-04-25","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.pzgmsbd22","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.hhmgqnkwc"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.hhmgqnkwc/versions"},"stash:version":{"href":"/api/v2/versions/437830"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.hhmgqnkwc/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.hhmgqnkwc","id":176188,"storageSize":66249428,"relatedPublicationISSN":"2050-084X","title":"TRPV3 channel activity helps cortical neurons stay active during fever","authors":[{"firstName":"Michelle","lastName":"Antoine","email":"michelle.antoine@nih.gov","affiliation":"National Institutes of Health","affiliationROR":"https://ror.org/01cwqze88","affiliations":[{"name":"National Institutes of Health","ror_id":"https://ror.org/01cwqze88"}],"orcid":"0000-0001-7222-7309","order":0},{"firstName":"Richárd","lastName":"Fiáth","email":"fiath.richard@gmail.com","affiliation":"Pázmány Péter Catholic University","affiliationROR":"https://ror.org/05v9kya57","affiliations":[{"name":"Pázmány Péter Catholic University","ror_id":"https://ror.org/05v9kya57"}],"order":2}],"abstract":"\u003cp\u003eFever raises body temperature (T\u003csub\u003eb\u003c/sub\u003e) from ~37 °C to beyond 38.4 °C to combat pathogens. While generally well tolerated below 40 °C, in rare cases fever can abnormally elevate neural activity and induce seizures in neurotypical children aged 2–5 years. This study investigates the mechanisms by which neuronal activity is maintained and stabilized during exposure to fever-range temperatures. Recordings of layer (L)4-evoked spiking in L2/3 pyramidal neurons (PNs) of mouse somatosensory cortex revealed four outcomes as temperature increased from 30°C to 36 °C and 39 °C (fever-range): neurons remained inactive, stayed active, ceased activity, or initiated activity. Roughly equal proportions of neurons ceased or initiated spiking, making the subset of “STAY” PNs, those that remain active across temperatures, crucial for maintaining stable cortical output. STAY PNs were more prevalent at younger postnatal ages. Their firing stability was supported by a distinct ion channel composition, including the thermosensitive channel TRPV3, which enables continued spiking by adjusting depolarization to meet spike threshold. Intracellular blockade of TRPV3, but not TRPV4, significantly reduced the proportion of STAY PNs and suppressed spiking at 39 °C. Moreover, in \u003cem\u003eTrpv3\u003csup\u003e-/-\u003c/sup\u003e\u003c/em\u003e mice, temperature increases to 39 °C reduced both spiking and postsynaptic potential amplitude, and these mice exhibited a delayed seizure onset. Together, these findings suggest that TRPV3 contributes to the preservation of cortical activity during fever.\u003c/p\u003e\n","funders":[{"organization":"National Institute on Alcohol Abuse and Alcoholism","identifierType":"ror","identifier":"https://ror.org/02jzrsm59","awardNumber":"","awardDescription":"","awardTitle":"","order":0}],"keywords":["Trpv3","Physiology","Brain"],"fieldOfScience":"Biological sciences","methods":"\u003cp\u003e\u003cstrong\u003eAnimals\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll experimental procedures were performed in accordance with the National Institutes of Health guidelines for care and use of laboratory animals and the EC Council Directive of September 22, 2010 (2010/63/EU). All experiments were approved by the Animal Care and Use Committee of the National Institute on Alcohol Abuse and Alcoholism (NIAAA) (Protocol # LIN-MA-1) and the Animal Care Committee of the HUN-REN Research Centre for Natural Sciences (RCNS) and by the National Food Chain Safety Office of Hungary (license number: PE/EA/1004-5/2021). Mice were housed under standard conditions with ad libitum access to food and water, under a 12-h light/dark cycle. The following mouse strains were obtained from The Jackson Laboratory (JAX):C57BL/6J (JAX 000664), FVB/N mice (\u003ca href=\"https://www.jax.org/strain/005628\"\u003eJAX 004828\u003c/a\u003e), and Trpv3 (JAX 010773) (Moussaieff A et al., 2008; Moqrich et al., 2005). The day of birth was denoted as postnatal day (P)1. Both male and female mice were used for body temperature (T\u003csub\u003eb\u003c/sub\u003e) recordings and electrophysiological experiments.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBody Temperature Measurements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll mice used for body temperature (T\u003csub\u003eb\u003c/sub\u003e) recordings were implanted with sterile IPTT-300 Implantable Programmable Temperature transponders (Bio Medic Data Systems, LLC) at 2 weeks of age. The injection site was pre-cleaned with a betadine solution, and the sterile transponders were injected subcutaneously using a pre-loaded 12-gauge syringe into animals anesthetized with 4-5% isoflurane. The injection site was on the left side, approximately 11 mm from the base of the hip, with the animal in the prone position. Post-implantation, the mice were able to move, eat, and drink autonomously, with no adverse phenotypes noted. T\u003csub\u003eb\u003c/sub\u003e recording commenced at least 5 days after injection. Prior to recording, mice were brought into the procedure room and allowed to habituate for 1 hour. T\u003csub\u003eb\u003c/sub\u003e was recorded every 5 minutes for 6 hours using an IPTT-300 Implantable Programmable Temperature reader (DAS-8027) in a 37L x 16W x 13H cm cage. T\u003csub\u003eb\u003c/sub\u003e was recorded in the presence (\u003cstrong\u003eFigure 1D\u003c/strong\u003e) or absence (\u003cstrong\u003eFigure 1A-C\u003c/strong\u003e) of infrared light. Infrared light exposure was provided via a 250-W temperature-controlled infrared lamp (catalog #50320, Stoelting), set to 32.5-33.5 °C. The lamp was positioned ~15 cm above the cage, and the ambient temperature was monitored every 5 minutes (\u003cstrong\u003eFigure 1D\u003c/strong\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSlice Preparation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUsing standard methods, acute primary somatosensory cortex (S1) slices (350 µm thick) from P7-8, P12-14, or P20-23 mice were cut in the \"across-row\" plane, oriented 35° toward coronal from midsagittal (Antoine et al., 2019). The cutting solution contained (in mM): 85 NaCl, 75 sucrose, 25 D- (+)-glucose, 4 MgSO\u003csub\u003e4\u003c/sub\u003e, 2.5 KCI, 1.25 NaH\u003csub\u003e2\u003c/sub\u003ePO\u003csub\u003e4\u003c/sub\u003e, 0.5 ascorbic acid, 25 NaHCO\u003csub\u003e3\u003c/sub\u003e, 0.5 CaCl\u003csub\u003e2\u003c/sub\u003e. Once cut, slices were transferred to a submerged-style holding chamber containing standard Ringer's solution (in mM: 119 NaCl, 2.5 KCI, 1.3 MgSO\u003csub\u003e4\u003c/sub\u003e, 1 NaH\u003csub\u003e2\u003c/sub\u003ePO\u003csub\u003e4\u003c/sub\u003e, 26.2 NaHCO\u003csub\u003e3\u003c/sub\u003e, 11 D-(+)-glucose and 2.5 CaCl\u003csub\u003e2\u003c/sub\u003e) and then incubated at 32°C for 30 minutes. Both solutions were at neural pH (i.e., 7.3), 300 mOsm, and saturated with 95% O\u003csub\u003e2\u003c/sub\u003e and 5% CO\u003csub\u003e2\u003c/sub\u003e. Slices were kept at room temperature for at least 30 minutes before being transferred to a submerged recording chamber.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eIn Vitro\u003c/strong\u003e\u003c/em\u003e \u003cstrong\u003ePhysiology\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWhole-cell current-clamp recordings were made from pyramidal neurons (PNs) visually identified via infrared DIC optics. Physiological verification for regular spiking was done in current clamp. Recordings were made using 3-6 MΩ micropipettes containing (in mM):116 K gluconate, 20 HEPES, 6 KCI, 2 NaCl, 0.5 EGTA, 4MgATP, 0.3 NaGTP, 10 Na phosphocreatine, with a Multiclamp 700B amplifier (Molecular Devices, Sunnyvale, CA). Where applicable, forsythoside B (50 µM, TRPV3 blocker, Millipore Sigma Cat #: PHL83313) or RN1734 (10 µM, \u003cem\u003eTRPV4 blocker\u003c/em\u003e, Tocris Bioscience Cat #: 3746/25) was added to the internal solution. Camphor (MedChem, Cat. No: HY-N0808) was added to the bath solution for experiments in \u003cstrong\u003eFigure 8\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eSignals were filtered (2-6 kHz) and digitized (10-20 kHz). Perfusate temperature for all in vitro experiments was regulated by a PC-connected Peltier heater (SM-4600, Scientifica, UK) and temperature controller (Linlab2, Scientifica, UK), with a high-accuracy, low-noise temperature control system, containing both a built-in temperature sensor and bath sensor for accurate feedback. ACSF flow rates of ~3 ml/min were used to facilitate efficient heating/cooling.\u003c/p\u003e\n\u003cp\u003eTo determine the effect of temperature on an activated cortical network, layer 4-evoked spiking was quantified during perfusate temperature increases from 30°C to 36°C, and then to fever range (~ 39°C) while recording membrane potential. The slicing plane facilitated clear identification of whisker barrel columns, and neuronal activity was evoked by stimulating the barrel center using a bipolar electrode (0.2 ms pulses) at a stimulation of 1.4 Eθ. Eθ is defined as the minimal intensity that evoked a consistent excitatory postsynaptic current (EPSC) during more than 3 of 5 consecutive sweeps with 10 s ISI (Antoine et al., 2019). Eθ was determined in voltage clamp for each recorded cell prior to recording PSPs and spiking in current clamp. A new brain slice was used for each recording.  L4- evoked feedforward post synaptic potentials (PSPs) and spiking were recorded in single L2/3 PNs from a pre-stimulus baseline membrane potential (V\u003csub\u003em\u003c/sub\u003e) of -50 mV. This V\u003csub\u003em\u003c/sub\u003e, just below spike threshold, was selected to mimic \u003cem\u003ein vivo\u003c/em\u003e conditions, as PNs \u003cem\u003ein vivo\u003c/em\u003e can reside within this V\u003csub\u003em\u003c/sub\u003e range during whisker exploration of objects or surfaces (Yamashita et al., 2013). Evoked spikes were analyzed over a 150-ms interval, starting 2-3 ms post-stimulus, for 11 sweeps at 10 s inter-sweep interval (ISI). Spike threshold was defined as the membrane potential (\u003cem\u003eV\u003c/em\u003e\u003csub\u003em\u003c/sub\u003e) at which the second derivative of \u003cem\u003eV\u003c/em\u003e\u003csub\u003em\u003c/sub\u003e was \u0026gt;5 SDs above the pre-stimulus period. Intrinsic spiking excitability was measured in the presence of glutamate and GABA-A receptor blockers (in μM: 100 APV, 10 NBQX, 3 gabazine). F-I curves were obtained from PNs held at –80 mV by applying incremental current injections relative to this V\u003csub\u003em\u003c/sub\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnimal Surgery and\u003c/strong\u003e \u003cem\u003e\u003cstrong\u003eIn vivo\u003c/strong\u003e\u003c/em\u003e \u003cstrong\u003eElectrophysiological Recordings\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eIn vivo\u003c/em\u003e experiments were done under general anesthesia where five mice (age, P24-26; body weight, 7-10 g; both genders) received an intraperitoneal injection of ketamine (100 mg/kg) and xylazine (10 mg/kg). Regular doses of the ketamine/xylazine cocktail were given intramuscularly to maintain the depth of anesthesia during the experimental sessions. Up until the thermal fever protocol started, the T\u003csub\u003eb\u003c/sub\u003e of the animals was kept at 36°C using a homeothermic heating pad connected to a temperature controller (Supertech, Pécs, Hungary). To measure the internal body temperature, a Type T thermocouple microprobe (MT-29/5; Physitemp Instruments, Clifton, NJ, USA) was placed in the rectum of the animal. The microprobe has a shaft diameter of 330 µm, a time constant of 0.025 second and 0.1°C accuracy.\u003c/p\u003e\n\u003cp\u003eTo perform high-density extracellular electrophysiological recordings, mice were placed in a stereotaxic frame (David Kopf Instruments, Tujunga, CA, USA), then two circular craniotomies (~1.5 mm in diameter) were made with a dental drill above the left and right barrel cortices. The craniotomies were centered at the following stereotaxic coordinates: anterior-posterior (AP): −1.0 mm; medial-lateral (ML): 3.5 mm (with respect to the bregma; Paxinos and Franklin 2001). Two commercially available Neuropixels 1.0 silicon probes (imec, Leuven, Belgium; Jun et al., 2017) mounted on two motorized stereotaxic micromanipulators (Neurostar, Tubingen, Germany) were implanted into the brain, one into the left and the other into the right barrel cortex, to a depth of 1.5 mm. An insertion speed of 2 µm/s was used to decrease the mechanical trauma caused by the probe insertion (Fiáth et al. 2019).\u003c/p\u003e\n\u003cp\u003eIn order for the probe tracks to be perpendicular to cortical layers, the probes were inserted at an angle of 20 degrees from vertical. The dura mater in the craniotomy was left intact, except when it was too thick and thus the silicon probe could not pierce through this layer (which was indicated by significant probe buckling; n = 3 insertions). In these cases a 36 gauge, slightly bent needle was used to carefully cut the dura above the targeted cortical area. After the probe reached its final insertion depth, to allow the brain tissue to settle, we waited at least 10 minutes before electrophysiological recording was started. Spiking activity of cortical neurons (action potential band, 300–10.000 Hz) was recorded on 384 channels (768 channels in total for the two probes), with a sampling rate of 30 kHz/channel and with a gain of 500 (yielding a resolution of 2.34 μV per bit). Data were acquired using the SpikeGLX open-source software (\u003ca href=\"http://billkarsh.github.io/SpikeGLX/\"\u003ehttp://billkarsh.github.io/SpikeGLX/\u003c/a\u003e). A common stainless steel wire inserted into the neck muscle of the animal served as the external reference and ground electrode. To avoid the dehydration of the cortex, the skull and the craniotomy was kept moist during the whole experiment using body temperature, sterile physiological saline solution and Gelaspon. Before starting the experimental protocol, manual whisker stimulation (by repetitively touching the whiskers of the animal with a cotton swab) was used to verify the recording position. In all cases (n = 10 probe insertions), we detected strong whisker-evoked neuronal activity.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThermal Fever Protocol during Electrophysiological Recordings\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFirst, we recorded cortical activity for 45 minutes at \u003csub\u003e36°C body temperature (\"baseline \" period), then the body temperature of the animal was elevated with the aid of the heating pad and a power bank with warming capability which was placed next to the mouse. The body temperature was increased from 36°C to 39°C in about 5 minutes (0.01°C/s). The elevated body temperature was maintained for 45 minutes (\"thermal fever \" period). Next, we turned off the heating until the Tb\u003c/sub\u003e reached physiological temperatures (36°C; ~5 min; ~0.01°C/s). Cortical activity was recorded for another 45 minutes at 36°C body temperature (\"recovery \" period). Continuous recordings with a total duration of 145 minutes were obtained for each mouse.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSpike Sorting and Data Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo extract cortical single-unit activity, spike sorting was performed with Kilosort2 (\u003ca href=\"https://github.com/MouseLand/Kilosort\"\u003ehttps://github.com/MouseLand/Kilosort\u003c/a\u003e; Pachitariu et al., 2016a, 2016b) using the default parameter set (available in the StandardConfig.m file). Channels containing activity acquired by recording sites located outside the cortex were removed before spike sorting (usually ~130 channels/probe recorded from the barrel cortex). The list of single unit clusters generated by Kilosort2 was visually inspected to remove units considered as noise (e.g., units with abnormal spike waveform shapes) or multi-unit activity (e.g., clusters with a contaminated refractory period). Manual curation of the Kilosort2 results was done with the Phy Python library, which provides a graphical user interface for interactive visualization of high-density data and supply operations for merging, splitting and marking of clusters (\u003ca href=\"https://github.com/cortex-lab/phy\"\u003ehttps://github.com/cortex-lab/phy\u003c/a\u003e; Rossant et al., 2016). In this dataset, we aimed to keep only those single units which had at least 900 spikes (\u0026gt;~0.1 Hz firing rate), a clear refractory period, a consistent waveform shape and whose spikes were present throughout the 145-minute-long recording.\u003c/p\u003e\n\u003cp\u003eFollowing manual curation, based on their spike waveform duration, the selected single units (n = 633) were separated into putative inhibitory interneurons and excitatory principal cells (Barthó et al., 2004). The spike duration was calculated as the time difference between the trough and the subsequent waveform peak of the mean filtered (300 – 6000 Hz bandpassed) spike waveform. Durations of extracellularly recorded spikes showed a bimodal distribution (Hartigan’s dip test; p \u0026lt; 0.001) characteristic of the neocortex with shorter durations corresponding to putative interneurons (narrow spikes) and longer durations to putative principal cells (wide spikes). Next, k-means clustering was used to separate the single units into these two groups, which resulted in 140 interneurons (spike duration \u0026lt; 0.6 ms) and 493 principal cells (spike duration \u0026gt; 0.6 ms), corresponding to a typical 22% - 78% (interneuron – principal) cell ratio. Finally, the firing rates of neurons were computed separately during the three distinguished periods (baseline, thermal fever and recovery). To decrease the effect of transient changes (e.g., tissue recovery during the baseline period or the short-term effect of heating during the thermal fever period), for each 45-minute-long period, we used only the last 25-minutes to calculate the mean firing rates of neurons.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImmunofluorescence staining\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMice were anesthetized and transcardially perfused using standard methods. Brains were post-fixed overnight in 4% PFA at 4 °C with shaking, rinsed in 1X PBS, and cryoprotected in 30% sucrose. They were embedded in optimal cutting temperature (OCT) compound, frozen on dry ice, and stored at –80 °C until sectioning. Tissue was cut at 30 µm on a cryostat, mounted onto slides. Sections were permeabilized in 0.3% Triton X-100 (in 1X PBS) for 10 min at room temperature. Endogenous peroxidase activity was quenched by incubation in 3% H₂O₂ (in 1X PBS) at room temperature. Slides were blocked in 10% normal goat serum for 1 h at room temperature, then incubated overnight at 4 °C with anti-TRPV3-Biotin antibody (#ACC-033-B), TRPV3 blocking peptide (#BLP-CC033), and/or anti-TRPV4 antibody(#ACC-034) (Alomone Labs, Israel). For antibody–peptide controls, the anti-TRPV3-Biotin antibody was pre-incubated with its blocking peptide at a 1:2.5 ratio, using 1 mg/ml of each. The following day, sections were incubated for 1 h at room temperature with fluorescently labeled secondary antibodies (streptavidin-conjugated or unconjugated). Nuclei were counterstained with DAPI Fluoromount-G (Electron Microscopy Sciences, USA). Finally, sections were mounted onto slides, cover-slipped, and stored at 4 °C until imaging. Images were acquired using a Keyence BZ-X810 microscope (BZ-X800 Viewer, Version 1.1.1.8) with BZ-X filter sets: DAPI (Ex 360/40 nm; OP-87762), GFP (Ex 470/40 nm; OP-87763), and TRITC (Ex 545/25 nm; OP-87764).\u003c/p\u003e\n","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.7554/elife.102412.1"},{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.7554/elife.102412.3"}],"versionNumber":10,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-25","lastModificationDate":"2026-04-25","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.hhmgqnkwc","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rv15dv4jv"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rv15dv4jv/versions"},"stash:version":{"href":"/api/v2/versions/438576"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.rv15dv4jv/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.rv15dv4jv","id":149289,"storageSize":3325931033,"relatedPublicationISSN":"2397-334X","title":"Data from: Climate and regional plant richness drive diet specialization in butterfly caterpillars","authors":[{"firstName":"Collin","lastName":"Gross","email":"cpgross@stanford.edu","affiliation":"Stanford University","affiliationROR":"https://ror.org/00f54p054","affiliations":[{"name":"Stanford University","ror_id":"https://ror.org/00f54p054"}],"orcid":"0000-0002-0896-8476"},{"firstName":"Akito","lastName":"Kawahara","email":"kawahara@flmnh.ufl.edu","affiliation":"University of Florida","affiliationROR":"https://ror.org/02y3ad647","affiliations":[{"name":"University of Florida","ror_id":"https://ror.org/02y3ad647"}],"orcid":"0000-0002-3724-4610","order":1},{"firstName":"Barnabas","lastName":"Daru","email":"bdaru@stanford.edu","affiliation":"Stanford University","affiliationROR":"https://ror.org/00f54p054","affiliations":[{"name":"Stanford University","ror_id":"https://ror.org/00f54p054"}],"orcid":"0000-0002-2115-0257","order":2}],"abstract":"\u003cp\u003eStudies of coevolution, ecosystem processes, and latitudinal diversity gradients are improved by understanding variation in resource specialization. Insect herbivory is one of the most ubiquitous terrestrial ecological associations, and is important for understanding the evolution of both plants and insects, yet the processes underlying global variation in diet breadth remain poorly understood. Here, we use global datasets of butterfly and plant distributions to investigate the patterns and drivers of butterfly larval diet breadth. Diet breadth showed a negative relationship with plant family richness, but this was offset by a direct effect of temperature acting in the opposite direction. Islands generally harbor species with broader diets, but islands with higher endemism had narrower diets than average. Our study provides a global baseline for understanding how plant and herbivore interactions structure ecological communities in the face of global environmental changes.\u003c/p\u003e\n","funders":[{"organization":"U.S. National Science Foundation","identifierType":"ror","identifier":"https://ror.org/021nxhr62","awardNumber":"2345994","awardDescription":"","order":0},{"organization":"U.S. National Science Foundation","identifierType":"ror","identifier":"https://ror.org/021nxhr62","awardNumber":"2416314","awardDescription":"","order":1}],"keywords":["Biogeography","Diet Breadth","Islands","Lepidoptera","latitudinal gradients"],"fieldOfScience":"Biological sciences","methods":"\u003cp\u003eButterfly and plant distribution polygons were modeled as detailed in \u003ca href=\"doi.org/10.1073/pnas.2319989121\"\u003eDaru 2024a\u003c/a\u003e and \u003ca href=\"doi.org/10.1002/ecy.4462\"\u003eDaru 2024b\u003c/a\u003e (linked datasets). Butterfly hostplant associations were compiled from data in LepTraits v1.0 (\u003ca href=\"doi.org/10.1038/s41597-022-01473-5\"\u003eShirey et al. 2022\u003c/a\u003e), the Natural History Museum HOSTS dataset (\u003ca href=\"https://data.nhm.ac.uk/dataset/hosts\"\u003eRobinson et al. 2023\u003c/a\u003e), and Kawahara et al. (\u003ca href=\"doi.org/10.1038/s41559-023-02041-9\"\u003e2023\u003c/a\u003e). \u003c/p\u003e","relatedWorks":[{"relationship":"dataset","identifierType":"DOI","identifier":"https://doi.org/10.5061/dryad.bzkh189h9"},{"relationship":"dataset","identifierType":"DOI","identifier":"https://doi.org/10.5061/dryad.5x69p8d9w"},{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2025.01.10.632438"}],"versionNumber":7,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-25","lastModificationDate":"2026-04-25","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.rv15dv4jv","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.0000000fb"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.0000000fb/versions"},"stash:version":{"href":"/api/v2/versions/438340"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.0000000fb/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.0000000fb","id":154832,"storageSize":142546084,"relatedPublicationISSN":"1063-5157","title":"Data from: Nemo knows: Clownfishes differentiate cryptic host species across fine and broad geographic scales and reveal a potential adaptive radiation in the clownfish-hosting sea anemones","authors":[{"firstName":"Tommaso","lastName":"Chiodo","email":"","affiliation":"University of Alabama","affiliationROR":"https://ror.org/03xrrjk67","affiliations":[{"name":"University of Alabama","ror_id":"https://ror.org/03xrrjk67"}],"order":0},{"firstName":"Aurélien","lastName":"De Jode","email":"","affiliation":"University of Alabama","affiliationROR":"https://ror.org/03xrrjk67","affiliations":[{"name":"University of Alabama","ror_id":"https://ror.org/03xrrjk67"}],"order":1},{"firstName":"Andrea","lastName":"Quattrini","email":"","affiliation":"National Museum of Natural History","affiliationROR":"https://ror.org/04a4v0j95","affiliations":[{"name":"National Museum of Natural History","ror_id":"https://ror.org/04a4v0j95"}],"order":2},{"firstName":"Miranda","lastName":"Gibson","email":"","affiliation":"University of Alabama","affiliationROR":"https://ror.org/03xrrjk67","affiliations":[{"name":"University of Alabama","ror_id":"https://ror.org/03xrrjk67"}],"order":3},{"firstName":"Catheline","lastName":"Froehlich","email":"","affiliation":"University of Alabama","affiliationROR":"https://ror.org/03xrrjk67","affiliations":[{"name":"University of Alabama","ror_id":"https://ror.org/03xrrjk67"}],"order":4},{"firstName":"Danwei","lastName":"Huang","email":"","affiliation":"National University of Singapore","affiliationROR":"https://ror.org/01tgyzw49","affiliations":[{"name":"National University of Singapore","ror_id":"https://ror.org/01tgyzw49"}],"order":5},{"firstName":"Takuma","lastName":"Fujii","email":"","affiliation":"Nihon University","affiliationROR":"https://ror.org/05jk51a88","affiliations":[{"name":"Nihon University","ror_id":"https://ror.org/05jk51a88"}],"order":6},{"firstName":"Kensuke","lastName":"Yanagi","email":"","affiliation":"Natural History Museum and Institute","affiliationROR":"https://ror.org/053se7r61","affiliations":[{"name":"Natural History Museum and Institute","ror_id":"https://ror.org/053se7r61"}],"order":7},{"firstName":"James","lastName":"Reimer","email":"","affiliation":"University of the Ryukyus","affiliationROR":"https://ror.org/02z1n9q24","affiliations":[{"name":"University of the Ryukyus","ror_id":"https://ror.org/02z1n9q24"}],"order":8},{"firstName":"Anna","lastName":"Scott","email":"","affiliation":"Southern Cross University","affiliationROR":"https://ror.org/001xkv632","affiliations":[{"name":"Southern Cross University","ror_id":"https://ror.org/001xkv632"}],"order":9},{"firstName":"Estefania","lastName":"Rodríguez","email":"","affiliation":"American Museum of Natural History","affiliationROR":"https://ror.org/03thb3e06","affiliations":[{"name":"American Museum of Natural History","ror_id":"https://ror.org/03thb3e06"}],"order":10},{"firstName":"Benjamin","lastName":"Titus","email":"bmtitus@ua.edu","affiliation":"University of Alabama","affiliationROR":"https://ror.org/03xrrjk67","affiliations":[{"name":"University of Alabama","ror_id":"https://ror.org/03xrrjk67"}],"orcid":"0000-0002-0401-1570","order":12}],"abstract":"\u003cp\u003eThe symbiosis between clownfish (or anemonefishes) and their host sea anemones ranks among the most recognizable animal interactions on the planet. Found on coral reef habitats across the Indian and Pacific Oceans, 28 recognized species of clownfishes adaptively radiated from a common ancestor to live obligately with only 10 nominal species of host sea anemones. Are the host sea anemones truly less diverse than clownfish? Did the symbiosis with clownfish trigger a reciprocal adaptive radiation in sea anemones, or minimally, a co-evolutionary response to the mutualism? To address these questions, we combined fine- and broad-scale biogeographic sampling with multiple independent genomic datasets for the bubble-tip sea anemone, \u003cem\u003eEntacmaea quadricolor\u003c/em\u003e—the most common clownfish host anemone throughout the Indo-West Pacific. Fine-scale sampling and restriction site-associated DNA sequencing (RADseq) throughout the Japanese Archipelago revealed three highly divergent cryptic species: two of which co-occur throughout the Ryukyu Islands and can be differentiated by the clownfish species they host. Remarkably, broader biogeographic sampling and bait-capture sequencing reveal that this pattern is not simply the result of local ecological processes unique to Japan, but part of a deeper evolutionary signal where some species of \u003cem\u003eE. quadricolor\u003c/em\u003e serve as host to the generalist clownfish species \u003cem\u003eAmphiprion clarkii\u003c/em\u003e and others serve as host to the specialist clownfish \u003cem\u003eA. frenatus\u003c/em\u003e. In total, we delimit at least five cryptic species in \u003cem\u003eE. quadricolor\u003c/em\u003e that have diversified within the last five million years. The rapid diversification of \u003cem\u003eE. quadricolor,\u003c/em\u003e combined with functional ecological and phenotypic differentiation, supports the hypothesis that this may represent an adaptive radiation in response to mutualism with clownfishes. Our data indicate that clownfishes are not merely settling in locally available hosts but recruiting to specialized host lineages with which they have co-evolved. These findings have important implications for understanding how the clownfish-sea anemone symbiosis has evolved and will shape future research agendas on this iconic model system.\u003c/p\u003e\n","funders":[{"organization":"Division of Environmental Biology","identifierType":"ror","identifier":"https://ror.org/03g87he71","awardNumber":"1934274","awardDescription":"DEB","awardTitle":"PurSUiT: Systematics and species delimitation of the clownfish-hosting sea anemones.","order":0}],"keywords":["Symbiosis","Species delimitation","Demographic modeling","Phylogeography","co-evolution","Actiniaria","Anthozoa"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2024.11.15.623784"},{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1093/sysbio/syag033"}],"versionNumber":5,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.0000000fb","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.nvx0k6f6n"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.nvx0k6f6n/versions"},"stash:version":{"href":"/api/v2/versions/438353"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.nvx0k6f6n/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.nvx0k6f6n","id":182644,"storageSize":12869977,"relatedPublicationISSN":"0021-8790","title":"Data and code from: Parasites alter host community structure in a natural experiment","authors":[{"firstName":"Tomos","lastName":"Potter","email":"tomos.potter@protonmail.com","affiliation":"Johannes Gutenberg University Mainz","affiliationROR":"https://ror.org/023b0x485","affiliations":[{"name":"Johannes Gutenberg University Mainz","ror_id":"https://ror.org/023b0x485"}],"orcid":"0000-0003-3201-6130"},{"firstName":"Ryan S.","lastName":"Mohammed","email":"","affiliation":"Auburn University","affiliationROR":"https://ror.org/02v80fc35","affiliations":[{"name":"Auburn University","ror_id":"https://ror.org/02v80fc35"}],"order":1},{"firstName":"Joshua F.","lastName":"Goldberg","email":"","affiliation":"Pacific Northwest Research Station","affiliationROR":"https://ror.org/02s42ys89","affiliations":[{"name":"Pacific Northwest Research Station","ror_id":"https://ror.org/02s42ys89"}],"order":2},{"firstName":"David N.","lastName":"Reznick","email":"","affiliation":"University of California, Riverside","affiliationROR":"https://ror.org/03nawhv43","affiliations":[{"name":"University of California, Riverside","ror_id":"https://ror.org/03nawhv43"}],"order":3},{"firstName":"Joseph","lastName":"Travis","email":"","affiliation":"Florida State University","affiliationROR":"https://ror.org/05g3dte14","affiliations":[{"name":"Florida State University","ror_id":"https://ror.org/05g3dte14"}],"order":4},{"firstName":"Ronald D.","lastName":"Bassar","email":"","affiliation":"Auburn University","affiliationROR":"https://ror.org/02v80fc35","affiliations":[{"name":"Auburn University","ror_id":"https://ror.org/02v80fc35"}],"order":5}],"abstract":"\u003cp\u003eParasites can profoundly alter host communities. However, the impact of parasites can vary from one community to another. Understanding why the impact of parasites varies across communities is challenging because it requires (i) separating the direct effects of the parasite on the host species from the indirect effects it exerts through the ecological interactions among the hosts, and (ii) identifying how the presence of one host alters rates of infection in another. Freshwater fish communities in Trinidad have recently been invaded by a generalist parasitic nematode. This event, combined with our long-term mark-recapture studies of these communities, which began long before the invasion, presented a replicated natural experiment. In this experiment, we measured how host demographic rates responded to two “treatments”: stage of parasite establishment (before, and 1-2 years, 3-5 years, and 6-8 years after invasion) and type of community (killifish-guppy communities and killifish-only communities). This design allowed us to infer the direct and indirect impacts of the parasite invasion on killifish communities and determine how the presence of guppies altered infection rates in killifish. The parasitic invasion drastically altered killifish-guppy communities: the ratio of killifish to guppies changed from 1:2 before the invasion to 1:16 after the invasion. Living with guppies amplified the effects of the parasite on killifish, such that parasite-related mortality rates of large adult killifish were twice as high in communities with guppies compared to those without. This effect was driven by a doubling of infection rates in large killifish that live with guppies. In a parallel study, we identified the same patterns of size- and community-dependent infection rates of killifish in five separate river systems, implying that this pattern is general in this system. Our study provides mechanistic insight into how parasites alter community structure under natural conditions, via their direct and indirect impacts on host demographic rates. Our work highlights the value of long-term field studies for our understanding of the impact of parasites on community structure and of ecological interactions in general.\u003c/p\u003e\n","funders":[{"organization":"Directorate for Biological Sciences","identifierType":"ror","identifier":"https://ror.org/001xhss06","awardNumber":"2247042","awardDescription":"","awardTitle":"","order":0},{"organization":"Division of Environmental Biology","identifierType":"ror","identifier":"https://ror.org/03g87he71","awardNumber":"2100163","awardDescription":"","awardTitle":"BEE: The Evolution of Fluctuation-Dependent Species Coexistence","order":1},{"organization":"Division of Environmental Biology","identifierType":"ror","identifier":"https://ror.org/03g87he71","awardNumber":"1556884","awardDescription":"","awardTitle":"The Paradox of Coexistence: The Evolution of Ontogenetic Interactions","order":2}],"keywords":["Ecology","parasite ecology","Disease ecology"],"fieldOfScience":"Biological sciences","versionNumber":4,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.nvx0k6f6n","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.6q573n6db"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.6q573n6db/versions"},"stash:version":{"href":"/api/v2/versions/438486"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.6q573n6db/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.6q573n6db","id":183296,"storageSize":52332884,"relatedPublicationISSN":"1461-023X","title":"Data and code from: Beyond temperature: Relative humidity systematically shifts juvenile thermal performance and projected population growth in a malaria vector","authors":[{"firstName":"Paul J.","lastName":"Huxey","email":"paul.huxley@york.ac.uk","affiliation":"University of York","affiliationROR":"https://ror.org/04m01e293","affiliations":[{"name":"University of York","ror_id":"https://ror.org/04m01e293"}],"orcid":"0000-0001-9211-9479"},{"firstName":"Joel J.","lastName":"Brown","email":"","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}]},{"firstName":"Brandyce","lastName":"St. Laurent","email":"","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}]},{"firstName":"Britny","lastName":"Johnson","email":"","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}]},{"firstName":"Olivia Y.","lastName":"Cheung","email":"","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}]},{"firstName":"Anna","lastName":"Asamoah","email":"","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}]},{"firstName":"Brandon D.","lastName":"Hollingsworth","email":"","affiliation":"University of South Carolina","affiliationROR":"https://ror.org/02b6qw903","affiliations":[{"name":"University of South Carolina","ror_id":"https://ror.org/02b6qw903"}]},{"firstName":"Eric R.","lastName":"Bump","email":"","affiliation":"University of Oklahoma","affiliationROR":"https://ror.org/02aqsxs83","affiliations":[{"name":"University of Oklahoma","ror_id":"https://ror.org/02aqsxs83"}]},{"firstName":"Michael C.","lastName":"Wimberly","email":"","affiliation":"University of Oklahoma","affiliationROR":"https://ror.org/02aqsxs83","affiliations":[{"name":"University of Oklahoma","ror_id":"https://ror.org/02aqsxs83"}]},{"firstName":"Mercedes","lastName":"Pascual","email":"","affiliation":"New York University","affiliationROR":"https://ror.org/0190ak572","affiliations":[{"name":"New York University","ror_id":"https://ror.org/0190ak572"}]},{"firstName":"Leah R.","lastName":"Johnson","email":"","affiliation":"Virginia Tech","affiliationROR":"https://ror.org/02smfhw86","affiliations":[{"name":"Virginia Tech","ror_id":"https://ror.org/02smfhw86"}]},{"firstName":"Courtney C.","lastName":"Murdock","email":"ccm256@cornell.edu","affiliation":"Cornell University","affiliationROR":"https://ror.org/05bnh6r87","affiliations":[{"name":"Cornell University","ror_id":"https://ror.org/05bnh6r87"}],"orcid":"0000-0001-5966-1514"}],"abstract":"\u003cp\u003eUnderstanding how temperature-sensitive organisms respond to environmental change is central to addressing challenges in public health, biodiversity conservation, and food security. For many ectotherms, abiotic and biotic factors shape their abundance and distribution by generating stage-specific variation in life-history traits. Although previous studies have examined temperature, rainfall, competition, and habitat quality in relation to maximal population growth rate (\u003cem\u003er\u003c/em\u003e\u003csub\u003em\u003c/sub\u003e), relative humidity has rarely been incorporated into trait-based thermal performance frameworks. Using laboratory experiments, we show that relative humidity alters juvenile life-history trait responses in \u003cem\u003eAnopheles stephensi\u003c/em\u003e, an important malaria vector. We then integrate these humidity-dependent juvenile trait responses into an analytic \u003cem\u003er\u003c/em\u003e\u003csub\u003em\u003c/sub\u003e model to examine how relative humidity shifts the temperature dependence of projected population growth. Heuristic climate-suitability comparisons further illustrate that temperature–humidity interactions acting through juvenile traits alone can alter qualitative inference about when and where temperature-only models may over- or underestimate environmental suitability. These results highlight the importance of incorporating humidity alongside temperature when assessing ectotherm responses to climatic variation.\u003c/p\u003e\n","funders":[{"organization":"National Institute of Allergy and Infectious Diseases","identifierType":"ror","identifier":"https://ror.org/043z4tv69","awardNumber":"R01AI163444","awardDescription":"","awardTitle":"","order":0},{"organization":"National Institute of Allergy and Infectious Diseases","identifierType":"ror","identifier":"https://ror.org/043z4tv69","awardNumber":"R01AI153444-03S1","awardDescription":"Climate Health Administrative Supplement","awardTitle":"","order":1}],"keywords":["mosquito","vector-borne disease","Malaria","temperature dependence","population growth rate","Humidity","climate suitability","thermal performance curve","Epidemiology","Anopheles stephensi"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2025.05.30.656372"}],"versionNumber":4,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.6q573n6db","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.3j9kd520b"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.3j9kd520b/versions"},"stash:version":{"href":"/api/v2/versions/438351"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.3j9kd520b/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.3j9kd520b","id":181459,"storageSize":90544719694,"relatedPublicationISSN":"1744-683X","title":"Mechanistic insights into hydrophobicity-dependent antimicrobial selectivity of quaternary ammonium poly(oxanorborneneimide) polymers using coarse-grained simulations","authors":[{"firstName":"Joshua","lastName":"Richardson","email":"jdrichardso3@wisc.edu","affiliation":"University of Wisconsin–Madison","affiliationROR":"https://ror.org/01y2jtd41","affiliations":[{"name":"University of Wisconsin–Madison","ror_id":"https://ror.org/01y2jtd41"}],"orcid":"0009-0001-8979-8762"},{"firstName":"Vincent","lastName":"Rotello","email":"rotello@umass.edu","affiliation":"University of Massachusetts Amherst","affiliationROR":"https://ror.org/0072zz521","affiliations":[{"name":"University of Massachusetts Amherst","ror_id":"https://ror.org/0072zz521"}],"order":1},{"firstName":"Reid","lastName":"Van Lehn","email":"vanlehn@wisc.edu","affiliation":"University of Wisconsin–Madison","affiliationROR":"https://ror.org/01y2jtd41","affiliations":[{"name":"University of Wisconsin–Madison","ror_id":"https://ror.org/01y2jtd41"}],"orcid":"0000-0003-4885-6599","order":2}],"abstract":"\u003cp\u003eThe rise of antibiotic resistance to small-molecule drugs has driven the development of materials that directly disrupt bacterial cell membranes. Inspired by antimicrobial peptides (AMPs), synthetic polymers are gaining attention as promising antimicrobial materials because their molecular properties can be tuned to enhance selective killing of bacterial versus mammalian cells. Poly(oxanorborneneimide) (PONI) polymers have exhibited high selectivity against a broad spectrum of bacteria over human cells, depending upon their side chain functionalities. However, the mechanistic basis of this selectivity remains poorly understood, limiting the design of new PONI polymers with enhanced selectivity. In this study, we present a molecular dynamics (MD) simulation framework to investigate PONI-membrane interactions and extract mechanistically relevant descriptors correlated with experimentally determined activities. We model four PONI polymers with side chains of increasing hydrophobicity to understand interactions with model \u003cem\u003eE. coli\u003c/em\u003e, methicillin-resistant \u003cem\u003eS. aureus\u003c/em\u003e (MRSA), and human red blood cell (RBC) membranes. We develop a generalizable coarse-grained parameterization strategy for PONI polymers within the MARTINI 3 force field to enable simulation of polymer-membrane interactions at relevant length and timescales. Our simulations reveal that experimental activities against different membranes can be related to the propensity for PONI polymers to insert into the membrane, driven by electrostatic and hydrophobic interactions. We find that differences in membrane composition, particularly enrichment of cardiolipin in bacterial membranes, play a critical role in the selective interactions of moderately hydrophobic polymers toward bacterial membranes, in contrast with the non-selective toxicity toward both bacterial and RBC membranes observed for highly hydrophobic polymers.\u003c/p\u003e\n","funders":[{"organization":"U.S. National Science Foundation","identifierType":"ror","identifier":"https://ror.org/021nxhr62","awardNumber":"","awardDescription":"","awardTitle":"","order":0}],"keywords":["Molecular dynamics","Polymers","Antibacterials"],"fieldOfScience":"Chemical engineering","versionNumber":5,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.3j9kd520b","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.1ns1rn97f"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.1ns1rn97f/versions"},"stash:version":{"href":"/api/v2/versions/438346"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.1ns1rn97f/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.1ns1rn97f","id":177137,"storageSize":73957610,"relatedPublicationISSN":"1940-3372","title":"Data from: Ubiquitin-like SUMO protease expansion in rice (\u003cem\u003eOryza sativa\u003c/em\u003e L.)","authors":[{"firstName":"Kawinnat","lastName":"Sue-ob","email":"ksueob@liverpool.ac.uk","affiliation":"University of Liverpool","affiliationROR":"https://ror.org/04xs57h96","affiliations":[{"name":"University of Liverpool","ror_id":"https://ror.org/04xs57h96"}],"orcid":"0000-0002-9456-0716","order":0},{"firstName":"Eshan","lastName":"Sharma","email":"Eshan.Sharma@liverpool.ac.uk","affiliation":"University of Liverpool","affiliationROR":"https://ror.org/04xs57h96","affiliations":[{"name":"University of Liverpool","ror_id":"https://ror.org/04xs57h96"}],"order":1},{"firstName":"Cunjin","lastName":"Zhang","email":"cunjin.zhang@durham.ac.uk","affiliation":"Durham University","affiliationROR":"https://ror.org/01v29qb04","affiliations":[{"name":"Durham University","ror_id":"https://ror.org/01v29qb04"}],"order":2},{"firstName":"Rahul","lastName":"Bhosale","email":"rahul.bhosale@nottingham.ac.uk","affiliation":"University of Nottingham","affiliationROR":"https://ror.org/01ee9ar58","affiliations":[{"name":"University of Nottingham","ror_id":"https://ror.org/01ee9ar58"}],"order":3},{"firstName":"Ari","lastName":"Sadanandom","email":"ari.sadanandom@durham.ac.uk","affiliation":"Durham University","affiliationROR":"https://ror.org/01v29qb04","affiliations":[{"name":"Durham University","ror_id":"https://ror.org/01v29qb04"}],"order":4},{"firstName":"Andrew","lastName":"Jones","email":"andrew.jones@liverpool.ac.uk","affiliation":"University of Liverpool","affiliationROR":"https://ror.org/04xs57h96","affiliations":[{"name":"University of Liverpool","ror_id":"https://ror.org/04xs57h96"},{"name":"Chulalongkorn University","ror_id":"https://ror.org/028wp3y58"}],"order":5}],"abstract":"\u003cp\u003eSUMOylation is a protein post-translational modification that is essential for plant growth and response to changing environments. However, past work in this area has mainly focused on simple sequence similarity methods for discovering SUMOylation genes, often using orthologue mapping from yeast (\u003cem\u003eSaccharomyces cerevisiae\u003c/em\u003e) or \u003cem\u003eArabidopsis (Arabidopsis thaliana)\u003c/em\u003e. In this work, we employed a range of computational techniques and approaches to describe and characterise the SUMOylation machinery in Asian rice (\u003cem\u003eOryza sativa\u003c/em\u003e), as a globally important stable crop, and where the SUMOylation system has been shown to play key roles in responses to biotic and abiotic stresses. We describe and analyse the ULP system at the phylogenetic, transcriptional, and protein structural levels, with a focus on the rice reference genome, a well-annotated Rice Population Reference Panel (RPRP), and wild rice genomes. Our analysis revealed the expansion of ULPs in the reference genome and RPRP set (32 – 45 ULPs) compared to wild rice (9-36 ULPs), raising an intriguing hypothesis about the expansion of the ULP family being driven by selective breeding pressure. We provide evidence of potential functional ULPs and their possible roles in biotic and abiotic stress responses in cultivated rice. These insights offer valuable resources for future rice breeding and crop improvement.\u003c/p\u003e\n","funders":[{"organization":"Biotechnology and Biological Sciences Research Council","identifierType":"ror","identifier":"https://ror.org/00cwqg982","awardNumber":"BB/V003534/1","awardDescription":"","awardTitle":"","order":0},{"organization":"Biotechnology and Biological Sciences Research Council","identifierType":"ror","identifier":"https://ror.org/00cwqg982","awardNumber":"BB/T015691/1","awardDescription":"","awardTitle":"","order":1}],"keywords":["Rice genome","SUMOylation","Ubiquitin-like SUMO protease"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1002/tpg2.70200"}],"versionNumber":5,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.1ns1rn97f","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.q83bk3jwp"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.q83bk3jwp/versions"},"stash:version":{"href":"/api/v2/versions/438374"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.q83bk3jwp/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.q83bk3jwp","id":171677,"storageSize":29612,"relatedPublicationISSN":"0024-4066","title":"Data from: Testing the adaptive significance and relative contribution of claws and toepads for clinging performance in \u003cem\u003eAnolis\u003c/em\u003e lizards","authors":[{"firstName":"Jason","lastName":"Kolbe","email":"jjkolbe@uri.edu","affiliation":"University of Rhode Island","affiliationROR":"https://ror.org/013ckk937","affiliations":[{"name":"University of Rhode Island","ror_id":"https://ror.org/013ckk937"}],"orcid":"0000-0002-4236-9960"},{"firstName":"Emma","lastName":"DiPaolo","email":"","affiliation":"University of Rhode Island","affiliationROR":"https://ror.org/013ckk937","affiliations":[{"name":"University of Rhode Island","ror_id":"https://ror.org/013ckk937"}],"order":1}],"abstract":"\u003cp\u003eMeasuring the functional consequences of altered traits can provide not only insight into their adaptive significance but also the relative contribution of multiple traits to organismal performance. We assessed clinging performance of three \u003cem\u003eAnolis\u003c/em\u003e lizard species varying in their arboreal habitat use and associated morphological traits. We simulated clinging to leaves and bark, distinct aspects of the arboreal habitat, and repeatedly measured clinging performance with both claws and toepads functional, then while sequentially rendering claws or toepads, and lastly both traits, non-functional. Results suggest the two substantially arboreal species, \u003cem\u003eA. carolinensis\u003c/em\u003e and \u003cem\u003eA. distichus\u003c/em\u003e, are better adapted to different aspects of the arboreal habitat. \u003cem\u003eAnolis carolinensis\u003c/em\u003e toepads performed much better than claws on the smooth dowel, representing the leaves they commonly use, whereas \u003cem\u003eA. distichus\u003c/em\u003e claws performed much better than toepads on the rough dowel, simulating the bark on which they are most often found. When comparing claw and toepad variation to a sampling of species in the \u003cem\u003eAnolis\u003c/em\u003e radiation, the three species in this study represent only a small subset of morphological variation. Our experimental manipulations support the adaptive significance of claws and toepads for clinging and specialization of different species to distinct aspects of the arboreal environment.\u003c/p\u003e\n","funders":[{"organization":"U.S. National Science Foundation","identifierType":"ror","identifier":"https://ror.org/021nxhr62","awardNumber":"IOS-1806420","awardDescription":"","awardTitle":"","order":0},{"organization":"University of Rhode Island","identifierType":"ror","identifier":"https://ror.org/013ckk937","awardNumber":"","awardDescription":"","awardTitle":"","order":1}],"keywords":["Evolutionary adaptation","clinging ability","adhesive toepads","claws","Trait manipulation","lamellae","Anolis","Arboreality"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1093/biolinnean/blaf133"}],"versionNumber":2,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.q83bk3jwp","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.w9ghx3g3j"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.w9ghx3g3j/versions"},"stash:version":{"href":"/api/v2/versions/438432"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.w9ghx3g3j/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.w9ghx3g3j","id":169718,"storageSize":27663,"relatedPublicationISSN":"0012-9658","title":"Data and code from: Trapped honey bees reduce floral visitation on milkweed flowers","authors":[{"firstName":"Ian","lastName":"Jett","email":"ianjetters@icloud.com","affiliation":"University of California, Davis","affiliationROR":"https://ror.org/05rrcem69","affiliations":[{"name":"University of California, Davis","ror_id":"https://ror.org/05rrcem69"}],"order":0},{"firstName":"Louie","lastName":"Yang","email":"lhyang@ucdavis.edu","affiliation":"University of California, Davis","affiliationROR":"https://ror.org/05rrcem69","affiliations":[{"name":"University of California, Davis","ror_id":"https://ror.org/05rrcem69"}],"orcid":"0000-0002-9237-5357","order":1}],"abstract":"\u003cp\u003eTrapped arthropods have been shown to benefit plants in several ways, but few studies have examined the potential costs of arthropod entanglement. Milkweeds (\u003cem\u003eAsclepias\u003c/em\u003e spp.) have an unusual pollination system that requires relatively large packets of pollen (pollinia) to become attached to the appendages of insect pollinators and be pulled through a narrow opening in the flower. Honey bees (\u003cem\u003eApis mellifera\u003c/em\u003e) commonly become trapped and die with their legs still attached to milkweed flowers. In this study, we conducted a field experiment to examine how dead trapped honey bees affect floral visitation. We expected that the presence of a dead trapped bee would reduce floral visitation via two non-mutually exclusive pathways: 1) a direct deterrent effect on floral visitors, and 2) an indirect deterrent effect mediated by an increased abundance of scavenging predators such as ants. The presence of a dead bee reduced floral visitation by 37% compared with controls, and this effect was more robust for honey bee visitors than non-\u003cem\u003eApis\u003c/em\u003e visitors. While ant densities were 51% higher on floral umbels with a dead bee, and ants reduced floral visitation by 30%, our path analysis indicated that the direct deterrent pathway explained 91% of the total effect, consistent with an aversion to dead conspecifics among honey bees. Our results suggest that the lethal entanglement of honey bees is likely to incur an ecological cost for milkweed flowers, although the deterrence of honey bees could also shift the pollinator communities on milkweeds with unexpected consequences.\u003c/p\u003e\n","funders":[{"organization":"Division of Integrative Organismal Systems","identifierType":"ror","identifier":"https://ror.org/01rvays47","awardNumber":"IOS-2128245","awardDescription":"","awardTitle":"","order":0}],"keywords":["arthropod trapping","arthropod entanglement","Asclepias spp","Apis mellifera","conspecific aversion","path analysis"],"fieldOfScience":"Biological sciences","versionNumber":7,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.w9ghx3g3j","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9p8cz8wvv"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9p8cz8wvv/versions"},"stash:version":{"href":"/api/v2/versions/438342"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.9p8cz8wvv/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.9p8cz8wvv","id":160999,"storageSize":156846795,"relatedPublicationISSN":"2515-7620","title":"The impact of sea-level and groundwater rise on indoor exposure to volatile organic compounds near contaminated sites in socially vulnerable communities in the San Francisco Bay Area","authors":[{"firstName":"Emma","lastName":"Lasky","email":"elasky@berkeley.edu","affiliation":"University of California, Berkeley","affiliationROR":"https://ror.org/01an7q238","affiliations":[{"name":"University of California, Berkeley","ror_id":"https://ror.org/01an7q238"}],"orcid":"0000-0002-4912-3517","order":0},{"firstName":"Lida","lastName":"Davar","email":"ldavar@ucsc.edu","affiliation":"University of California, Santa Cruz","affiliationROR":"https://ror.org/03s65by71","affiliations":[{"name":"University of California, Santa Cruz","ror_id":"https://ror.org/03s65by71"}],"orcid":"0000-0001-5870-5482","order":1},{"firstName":"Gary","lastName":"Griggs","email":"griggs@ucsc.edu","affiliation":"University of California, Santa Cruz","affiliationROR":"https://ror.org/03s65by71","affiliations":[{"name":"University of California, Santa Cruz","ror_id":"https://ror.org/03s65by71"}],"order":2},{"firstName":"James","lastName":"Jacobs","email":"geojim@gmail.com","affiliation":"University of California, Santa Cruz","affiliationROR":"https://ror.org/03s65by71","affiliations":[{"name":"University of California, Santa Cruz","ror_id":"https://ror.org/03s65by71"}],"order":3},{"firstName":"Crissy","lastName":"Pickett","email":"clpicket@ucsc.edu","affiliation":"University of California, Santa Cruz","affiliationROR":"https://ror.org/03s65by71","affiliations":[{"name":"University of California, Santa Cruz","ror_id":"https://ror.org/03s65by71"}],"order":4},{"firstName":"Skylar","lastName":"Sacoolas","email":"skylar@greenaction.org","affiliation":"Greenaction for Health and Environmental Justice","affiliations":[{"name":"Greenaction for Health and Environmental Justice"}],"order":5},{"firstName":"Carolina","lastName":"Reid","email":"c_reid@berkeley.edu","affiliation":"University of California, Berkeley","affiliationROR":"https://ror.org/01an7q238","affiliations":[{"name":"University of California, Berkeley","ror_id":"https://ror.org/01an7q238"}],"order":6},{"firstName":"Kevin","lastName":"Befus","email":"kmbefus@uark.edu","affiliation":"University of Arkansas at Fayetteville","affiliationROR":"https://ror.org/05jbt9m15","affiliations":[{"name":"University of Arkansas at Fayetteville","ror_id":"https://ror.org/05jbt9m15"}],"order":7},{"firstName":"Kristina","lastName":"Hill","email":"kzhill@berkeley.edu","affiliation":"University of California, Berkeley","affiliationROR":"https://ror.org/01an7q238","affiliations":[{"name":"University of California, Berkeley","ror_id":"https://ror.org/01an7q238"}],"orcid":"0000-0002-4601-0760","order":8}],"abstract":"\u003cp\u003eWe examined three publicly available datasets, including EnviroStor, GeoTracker, and the US EPA’s Superfund Data and Reports from DTSC, RWQCB, and the EPA, respectively, to identify contaminants of concern at each location. These datasets provide detailed records of site contamination, monitoring activities, and remediation efforts. In addition, guidance, input, and insight from our community partners (Greenaction for Health and Environmental Justice), academic researchers, and state government agency experts helped us refine the study area and more accurately model the potential movement of VOCs from contaminated sites to nearby buildings. Most data included in this repository is derived from publicly available sources. Parcel-specific data was not included in this repository as it is publicly available elsewhere. Publicly available data is linked to the original source website and can be downloaded there. \u003c/p\u003e\n","funders":[{"organization":"California Ocean Protection Council","identifierType":"ror","identifier":"https://ror.org/036cr7267","awardNumber":"","awardDescription":"","order":0}],"keywords":["Pollution","Climate change","Urban infrastructure","Coastal regions","groundwater","Public health"],"fieldOfScience":"Earth and related environmental sciences","methods":"\u003cp\u003e\u003cstrong\u003eParticle Flow Model\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe San Francisco Bay Region’s groundwater basins are comprised of aquifer materials ranging from unconsolidated fill to fractured metamorphic rock complexes and surficial geologic features (e.g., paleochannels, alluvial fans) that influence the movement of groundwater across a gradient. To model the hydrologic fate of dissolved VOCs in groundwater originating within site parcel boundaries, we used MODPATH 7 (Pollock, 2016). The particle tracking was based on high-resolution (10 m x 10 m) one-layer, steady-state groundwater flow models conducted previously to quantify unconfined groundwater responses to sea-level rise (Befus et al., 2020). These models used a homogeneous and isotropic hydraulic conductivity of 1 m/day and a Bay constant head set to the mean higher high water (MHHW) tidal datum. No groundwater pumping or other remediation activities (e.g., enhanced drainage or impermeable barriers) were included in these models. For particle tracking, each site parcel identified within the San Francisco Bay Area was seeded with one particle per model grid cell, entering the flow model via recharge at the top of the model. All particles were allowed to flow until either a strong sink or a discharge location led to the particle leaving the model, and the San Francisco Bay was set as a secondary stop condition for particles. MODPATH 7 calculates sub-grid scale particle trajectories, such that the computed particle trajectories can include multiple vertices within a single groundwater cell (Pollock, 2016).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSewer Connectivity Model\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUsing particle flow models developed for 21 sites in MODPATH, we created a spatial model that identifies the potential transport of VOCs through sewer systems and into buildings. This spatial model was built in GIS software (ESRI ArcGIS Pro 3.2.2). Since sewer line spatial data is not publicly available, we used roads as proxies (OpenStreetMap). Potential VOC pathways through the sewer line were drawn outwards from the point of intersection of each road and the modeled flow path from the parcel of origin.\u003c/p\u003e\n\u003cp\u003eBeckley and McHugh (2020) identified the distance contaminants may travel through sewer systems based on elevation gradients, providing a maximum uphill distance of 228.6 meters (750 feet) and a downhill distance of 685.8 meters (2250 feet) to represent the farthest distance that VOCs might travel through a sewer line (Beckley \u0026amp; McHugh, 2020). Z-values for elevation were identified at 76.2-meter (250 feet) intervals, starting from 0 and extending up to 685.8 meters from the intersection of flowlines with streets. Elevation data was obtained from USGS 10-meter resolution DEM topographic layers. If the difference in the Z-value between 0 and 228.6m was negative, indicating a downhill slope, our model extended the potential VOC travel distance 685.8m. If the difference in the Z-value between 0 and 228.6 meters was positive, indicating an uphill slope, the model limited the potential VOC travel distance to 228.6 meters.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIdentifying Potentially Exposed Buildings and Their Uses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo identify buildings potentially impacted by vapor intrusion from VOC-containing sewer systems, we used 2020 parcel data to map buildings in proximity to sewer lines. Since sewer laterals typically connect buildings to main sewer lines, we created a 30m buffer around the potentially exposed sewer lines to account for the typical distance between sewers and buildings.\u003c/p\u003e\n\u003cp\u003eUsing the 30-meter buffer, we identified the structures located within the zone of potential VOC exposure from the sewer line. The buildings were classified according to their primary use as defined in 2020 parcel data acquired from LandVision. The building uses of primary interest were residential buildings, schools, and daycares. In addition, the total number of potentially impacted structures was determined for each of the 17 individual and 4 combined sites. Residential buildings, schools, and daycares were of particular interest as they may house populations especially vulnerable to the health effects of VOC inhalation (Kuang et al., 2021; Madaniyazi et al., 2022).\u003c/p\u003e\n\u003cp\u003eGiven the ongoing redevelopment of residential areas in the San Francisco Bay Area, we included priority development areas and previously permitted developments as defined by the Association of Bay Area Governments (ABAG). Lastly, we included the CalEnviroScreen percentile score for each site.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Management\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData was managed using three primary software platforms: RStudio, Python, and ArcGIS Pro. RStudio (R 4.3.1) was used to quantify the number of potentially exposed buildings. Python was used to automate the process of modeling contaminant movement through groundwater. ArcGIS Pro was used to model sewer intersections, identify buildings occupied by susceptible populations, and identify the social vulnerability of parcels intersecting those locations.\u003c/p\u003e\n","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.22541/essoar.174886127.73782663/v1"},{"relationship":"primary_article","identifierType":"DOI","identifier":"https://doi.org/10.1088/2515-7620/ae57fc"},{"relationship":"dataset","identifierType":"DOI","identifier":"https://doi.org/10.6078/D15X4N"}],"versionNumber":12,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"metadata_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.9p8cz8wvv","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}},{"_links":{"self":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.jq2bvq8pc"},"stash:versions":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.jq2bvq8pc/versions"},"stash:version":{"href":"/api/v2/versions/438383"},"stash:download":{"href":"/api/v2/datasets/doi%3A10.5061%2Fdryad.jq2bvq8pc/download"},"curies":[{"name":"stash","href":"https://github.com/datadryad/dryad-app/blob/main/documentation/apis/link_relations.md#{rel}","templated":"true"}]},"identifier":"doi:10.5061/dryad.jq2bvq8pc","id":170361,"storageSize":232722,"relatedPublicationISSN":"1461-023X","title":"Data and code from: Group size dependent selection for cooperation versus freeloading in collective chemical defence","authors":[{"firstName":"Sophie","lastName":"Van Meyel","email":"sophie.van.meyel@gmail.com","affiliation":"University of Helsinki","affiliationROR":"https://ror.org/040af2s02","affiliations":[{"name":"University of Helsinki","ror_id":"https://ror.org/040af2s02"}],"orcid":"0000-0001-5820-213X","order":0},{"firstName":"Raphael","lastName":"Ritter","email":"raphael.ritter@helsinki.fi","affiliation":"University of Helsinki","affiliationROR":"https://ror.org/040af2s02","affiliations":[{"name":"University of Helsinki","ror_id":"https://ror.org/040af2s02"}],"orcid":"0009-0000-3060-1622","order":1},{"firstName":"Heikki","lastName":"Helanterä","email":"heikki.helantera@oulu.fi","affiliation":"University of Oulu","affiliationROR":"https://ror.org/03yj89h83","affiliations":[{"name":"University of Oulu","ror_id":"https://ror.org/03yj89h83"}],"orcid":"0000-0002-6468-5956","order":2},{"firstName":"Carita","lastName":"Lindstedt","email":"carita.lindstedt-kareksela@helsinki.fi","affiliation":"University of Helsinki","affiliationROR":"https://ror.org/040af2s02","affiliations":[{"name":"University of Helsinki","ror_id":"https://ror.org/040af2s02"}],"orcid":"0000-0001-8176-3613","order":3}],"abstract":"\u003cp\u003eCooperation in public goods is expected to evolve more rapidly in smaller groups than in larger groups because individuals receive a larger share of the benefits, reducing the benefits of freeloading. However, experimental evidence for this hypothesis remains limited to microorganisms, restricting our understanding of the evolution of cooperative traits. Here, we show that in the collectively defending larvae of \u003cem\u003eNeodiprion sertifer\u003c/em\u003e, survival against predation is higher in cooperative groups, with the benefits of cooperation more pronounced in small groups (5 larvae) than in large groups (20 larvae). Individuals also participate less in collective defence in larger groups, not because of higher life-history costs resulting from increased resource competition, but because they adjust their contribution according to group size. These results provide novel empirical evidence that selection for cooperation in collective goods is group size-dependent, promoting cooperation in smaller groups, whereas the relative fitness of freeloaders is higher in larger groups.\u003c/p\u003e\n","funders":[{"organization":"Research Council of Finland","identifierType":"ror","identifier":"https://ror.org/05k73zm37","awardNumber":"257581","awardDescription":"","awardTitle":"","order":0},{"organization":"Research Council of Finland","identifierType":"ror","identifier":"https://ror.org/05k73zm37","awardNumber":"330578","awardDescription":"","awardTitle":"","order":1}],"keywords":["Behavioral ecology","Public goods game","Animal sociality","Hymenoptera"],"fieldOfScience":"Biological sciences","relatedWorks":[{"relationship":"preprint","identifierType":"DOI","identifier":"https://doi.org/10.1101/2025.09.03.672859"}],"versionNumber":8,"versionStatus":"submitted","curationStatus":"Published","versionChanges":"files_changed","publicationDate":"2026-04-24","lastModificationDate":"2026-04-24","visibility":"public","sharingLink":"http://datadryad.org/dataset/doi:10.5061/dryad.jq2bvq8pc","license":"https://spdx.org/licenses/CC0-1.0.html","metrics":{"views":0,"downloads":0,"citations":0}}]}}