Data and scripts for "Experimental evidence on the influence of root-associated fungi on plant growth along altitude"
Creators
- 1. University of Jyväskylä
- 2. University of Guelph
- 3. University of Helsinki
Description
These files include the input data and scripts to reproduce the results from the article "Experimental evidence on the influence of root-associated fungi on plant growth along altitude". The fungal OTU and environmental data are stored in the "data_meta_otu.Rdata" file, and the scripts for performing the joint species distribution modelling described in the article are the files "S1-S5". The scripts should be run in the subsequent order from S1 to S5 in R software.
As extensively explained in the main document, we investigated whether variations in root-associated fungal (RAF) community composition along altitudinal gradients influence plant growth at high altitudes, where both plants and fungi face harsher abiotic conditions. These data correspond to a translocation experiment between pairs of high and low altitude populations of Bistorta vivipara along three arctic altitudinal gradients in Kilpisjärvi. To separate the impact of shifting fungal communities from the overall influence of changing abiotic conditions, we used a root barrier to prevent new colonizations by RAF following translocation. To characterize the RAF communities, we applied DNA barcoding to the root samples using the ITS2 region. Through the utilization of joint species distribution modeling, we assessed the relationship between changes in plant functional traits resulting from experimental treatments and the corresponding changes in the RAF communities.
Files
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md5:620bb653f8a64ab046ed1b74d7ae7bfa
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md5:3373f10acc94cd70dc5fdae58eb25277
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md5:aa4a08695762814dc21df69d1786e855
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md5:3ad80422b87bf0fdc5a2834d66297e45
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Additional details
Funding
- Bringing an evolutionary perspective to community ecology using plant-fungal symbiotic networks as a model system 346492
- Academy of Finland
- LIFEPLAN – A Planetary Inventory of Life – a New Synthesis Built on Big Data Combined with Novel Statistical Methods 856506
- European Commission
- BioDT – Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities 101057437
- European Commission
- Predictive Understanding of Global Biodiversity Dynamics 336212
- Academy of Finland
- Bringing an evolutionary perspective to community ecology using plant-fungal symbiotic networks as a study system 342374
- Academy of Finland
- Plant-mycorrhizal associations under environmental change 308651
- Academy of Finland
- Predictive Understanding of Global Biodiversity Dynamics 345110
- Academy of Finland
- BGE – Biodiversity Genomics Europe 101059492
- European Commission