Data from: Long-term climatic stability drives accumulation and maintenance of divergent lineages in a temperate biodiversity hotspot
Data files
Dec 29, 2025 version files 64.11 MB
-
README.md
1.69 KB
-
SubsampledVittata_LowerRes.csv
3.80 KB
-
WPP_CurrentEnviroRasters.tif
623.64 KB
-
WPP1_5_2.str
2.47 MB
-
WPP1_5.phy
60.50 MB
-
WPP1_5.phy.partitions
506.42 KB
Abstract
Anthropogenic climate change is forecast to drive regional climate disruption and instability across the globe. These impacts are likely to be exacerbated within biodiversity hotspots, both due to the greater potential for species loss but also to the possibility that endemic lineages might not have experienced significant climatic variation in the past, limiting their evolutionary potential to respond to rapid climate change. We assessed the role of climatic stability on the accumulation and persistence of lineages in an obligate freshwater fish group endemic to the southwest Western Australia (SWWA) biodiversity hotspot. Using 19,426 genomic (ddRAD-seq) markers and species distribution modelling, we explored the phylogeographic history of western (Nannoperca vittata) and little (Nannoperca pygmaea) pygmy perches, assessing population divergence and phylogenetic relationships, delimiting species and estimating changes in species distributions from the Pliocene to 2100. We identified two deep phylogroups comprising three divergent clusters, which showed no historical connectivity since the Pliocene. We conservatively suggest these represent three isolated species with additional intraspecific structure within one widespread species. All lineages showed long-term patterns of isolation and persistence owing to climatic stability but with significant range contractions likely under future climate change. Our results highlighted the role of climatic stability in allowing the persistence of isolated lineages in the SWWA. This biodiversity hotspot is under compounding threat from ongoing climate change and habitat modification, which may further threaten previously undetected cryptic diversity across the region.
Contents:
WPP1_5.phy: concatenated alignment of 19,426 ddRAD loci across 37 samples (including four outgroup Nannoperca obscura samples). Used for phylogenomic analyses.
WPP1_5.phy.partitions: partition file describing ends of individual ddRAD loci within WPP1_5.phy: used in partitioned and gene tree phylogenomic analyses.
WPP1_5_2.str: Structure file of 18,177 putatively unlinked (one SNP per ddRAD locus) SNPs across 33 samples (outgroup samples not included). Used for PCoA, TreeMix, and subsamples for SNAPP analyses.
SubsampledVittata_LowerRes.csv: Coordinates for 114 Nannoperca vittata individuals derived from this study and the Atlas of Living Australia. Coordinates have been reduced to a single decimal point precision to minimise risk to species of conservation concern. Used as input for species distribution models.
WPP_CurrentEnviroRasters.tif: Stacked rasters of nine environmental layers under current climatic conditions used for species distribution models. Layers correspond to (in order):
- bio1 = annual mean temperature
- bio3 = isothermality
- bio8 = mean temperature of wettest quarter
- bio9 = mean temperature of driest quarter
- bio11 = mean temperature of coldest quarter
- bio12 = annual precipitation
- bio14 = precipitation of driest month
- bio15 = precipitation seasonality
- elevation
The full raster stack should be read into R using the "terra" package and the "rast" command:
WPPCurrentEnviroRasters = terra::rast(WPP_CurrentEnviroRasters.tif)
- Buckley, Sean James; Brauer, Chris J.; Unmack, Peter J. et al. (2024). Long-term climatic stability drives accumulation and maintenance of divergent freshwater fish lineages in a temperate biodiversity hotspot. Heredity. https://doi.org/10.1038/s41437-024-00700-6
- Buckley, Sean James; Brauer, Chris J.; Unmack, Peter J. et al. (2023). Long-term climatic stability drives accumulation and maintenance of divergent freshwater fish lineages in a temperate biodiversity hotspot [Preprint]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2023.03.08.531828
