Data from: Plant traits and tissue stoichiometry explain nutrient transfer in common arbuscular mycorrhizal networks of temperate grasslands
Data files
Jul 30, 2024 version files 486.64 KB
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2023.06.01_AgnosticFungi.csv
473.65 KB
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Agnostic_Fungi_data_dictionary.csv
1.54 KB
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README.md
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Abstract
Plants and mycorrhizal fungi form mutualistic relationships that affect how resources flow between organisms and within ecosystems. Common mycorrhizal networks (CMNs) could facilitate preferential transfer of carbon and limiting nutrients but this remains difficult to predict. Do CMNs favor fungal growth at the expense of plant resource demands (a fungi-centric view), or are they passive channels through which plants regulate resource fluxes (a plant-centric view)? We used stable isotope tracers (13CO2 and 15NH3), plant traits, and mycorrhizal DNA to quantify above- and belowground carbon and nitrogen transfer between 18 plant species along a 520-km latitudinal gradient in the Pacific Northwest, USA. Plant functional type and tissue stoichiometry were the most important predictors of interspecific resource transfer. Of “donor” plants, 98% were 13C enriched, but we detected transfer in only 2% of “receiver” plants. However, all donors were 15N enriched and we detected transfer in 81% of receivers. Nitrogen was preferentially transferred to annuals (0.26 ± 0.50 mg N per g leaf mass) compared to perennials (0.13 ± 0.30 mg N per g leaf mass). This corresponded with tissue stoichiometry differences. Our findings point to a simple mechanistic answer for long-standing questions regarding transfer of resources between plants via mycorrhizal networks.
Authors: Hilary Rose Dawson, Katherine L. Shek, Toby M. Maxwell, Paul B. Reed, Barbara Bomfim, Scott Bridgham, Brendan Bohannan, Lucas C.R. Silva
Description of the data and file structure
Plants and mycorrhizal fungi form close mutualistic relationships that affect the structure and function of ecosystems. Recent studies show how some plant communities can form associations with the same mycorrhizal fungus leading to preferential transfer of carbon and limiting nutrients, such as nitrogen, between different species through common mycorrhizal networks. This phenomenon has been documented in a wide range of ecosystems but its mechanisms remain poorly understood. A core question is whether common mycorrhizal networks favor fungal growth at the expense of plant resource demands (i.e., a fungi-centric view) or are passive channels through which plants regulate resource fluxes (i.e., a plant-centric view). In an experimental restored prairie and pasture plant systems, replicated at three sites across a 520 km latitudinal gradient in the Pacific Northwest, USA, we identified general processes that reconcile competing hypotheses related to resource transfer in common mycorrhizal networks. We used stable isotope tracers, paired with analyses of fungal DNA and plant and fungal community structure and traits, to quantify above- and belowground allocation and transfer of carbon and nitrogen between 18 different plant species. We applied isotopically enriched carbon (13C) and nitrogen (15N) as a pulse of carbon dioxide (CO2) and ammonia (NH3) to the leaves of target donor species common across experimental sites. At each site, we performed >1360 measurements of foliar and root isotopic enrichment, which revealed morphological traits and tissue stoichiometry as the most important predictors of interspecific resource transfer. Labeled donor plants assimilated isotopic tracers at similar rates between sites and experimental treatments. However, carbon and nitrogen was preferentially transferred to annual and forb receiver plants compared to perennial and grass receiver plants due to differences in tissue stoichiometry. Our findings point to a simple mechanistic answer for long-standing questions regarding mutualism and transfer of resources between plants via mycorrhizal networks, an explanation that can lead to general predictions of preferential flow of limiting resources in other ecosystems.
Data Dictionary for 2023.06.01_AgnosticFungi.csv
See also a csv that also has this data dictionary
Variable | Full name | Unit | Levels |
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sampleID | Sample ID | ||
time.point | Time point | `-1 = baseline/before label, 0 = time of label, 1 = ~4 days post label, 2 = ~10 days post label, 3 = ~21 days post label | |
material | Sample material | soil, leaf, root | |
siteID | Site abbreviation | DC = Deer Creek, WC = Willow Creek, TW = Tenalquot Prairie | |
site.loc | Site location on latitude gradient | north, middle, south | |
restor.group | Restoration manipulation group | restored, pasture | |
drought.trt | Rain exclusion treatment | drought, control | |
plotID | Plot number | ||
dist.cm | Distance (cm) | cm | |
sci.name | Scientific name | ||
speciesID | Species code | ||
ann.per | Life history strategy | Annual, Perennial | |
grass.forb | Structural group | Grass, Forb | |
dnr.rcvr | Donor/Receiver | Donor, Receiver | |
degree.connect | Degrees of connectivity | Number of plants in the same plot that share at least one ASV with this individual | |
n.fungal.asv | Number of fungal ASVs | Number of fungal ASVs found in the roots of this plant | |
enriched.N | 15N enriched | binary | TRUE/FALSE |
d15N | $\delta ^{15}N | per mil | |
atpct.15N | ^{15}N atom percent | atm % | |
N.per | Percent N content | % | |
NDFL.per | Percent N derived from label | % | |
NDFL.mass | mg N derived from label per g leaf | mg N/g leaf | |
enriched.C | 13C enriched | binary | TRUE/FALSE |
d13C | $\delta ^{13}C | per mil | |
atpct.13C | ^{13}C atom percent | atm % | |
C.per | Percent C content | % | |
CDFL.per | Percent C derived from label | % | |
CDFL.mass | mg C derived from label per g leaf | mg C/g leaf | |
C.N | C:N ratio | ||
iWUE | Intrinsic water-use efficiency | $\mu mol/mol |
Sharing/access Information
Links to other publicly accessible locations of the data: none
Was data derived from another source? No
If yes, list source(s): NA