Drivers and mechanisms that contribute to microbial β-diversity patterns and range sizes in mountains across a climatic variability gradient
Data files
Nov 07, 2023 version files 23.39 MB
Abstract
Microbial communities are highly diverse, yet the mechanisms underlying microbial community assembly are not well understood. Janzen's mountain passes hypothesis proposed that climatic barriers and dispersal limitation shape communities to a greater extent in mountains with lower climatic variability and overlap, permitting higher levels of species coexistence. Here, we investigate changes in microbial community dissimilarities, distributional range sizes and ecological processes along elevational gradients in three montane ecosystems representing a climatic variability gradient. We found that climate, climatic variability and spatial distance play dominating roles in affecting microbial β-diversity patterns and range sizes along elevational gradients. Janzen’s mountain passes hypothesis can be applied for microbial community assembly: mountains with lower climatic variability and higher climatic difference between elevations exhibited higher β-diversity, higher endemism, lower range sizes, and steeper distance-decay trends. However, microbial communities experience clear climate-driven limited range sizes and dispersal processes and show typical endemic patterns in all mountain ecosystems. Our results emphasize the importance of dispersal and climatic niche processes in shaping montane biodiversity. As a result, changes in climate may significantly impact soil biodiversity in montane ecosystems by altering the effects of dispersal limitation and climatic variability on bacterial and fungal community composition along elevational gradients.
README: Drivers and mechanisms that contribute to microbial β-diversity patterns and range sizes in mountains across a climatic variability gradient
https://doi.org/10.5061/dryad.4b8gthtk2
These data include microbial compositions (i.e., bacteria and fungi), their phylogenic trees and environment data. Raw sequence data were deposited into the National Genomics Data Center Repository. All experimental methods and protocols can be obtained directly from the online databases and/or publications described in the Methods section.
Description of the data and file structure
In total, 60 plots were established across all three sites (i.e., five plots x four elevations x three sites). Soil available potassium, pH, organic matter, total carbon, total nitrogen, total phosphorus, and total potassium were measured for each plot. Plot information and other environment data can be found in Xu S., Yuan Y., Song P., Cui M., Zhao R., Song X., Cao M., Zhang Y., Yang J. The spatial patterns of diversity and their relationships with environments in rhizosphere microorganisms and host plants differ along elevational gradients. Frontiers in Microbiology 2023; 14: 1079113. Microbial compositions (i.e., bacteria and fungi) and their phylogenic trees were included here.
"phylogeny_bacteria.tre" is the phylogeny tree of bacteria;
"phylogeny_fungi.tre" is the phylogeny tree of fungi;
"plot_bacteria_ASV_table.rds" is the ASV table of bacteria, which includes 60 plots from tropical, subtropical and subalpine mountains;
"plot_fungi_ASV_table.rds" is the ASV table of fungi, which includes 60 plots from tropical, subtropical and subalpine mountains;
"soil_element.csv" includes the plot ID and soil properties: Soil organic matter (O.M, g/kg), Total carbon (T.C, g/kg), Total nitrogen (T.N, g/kg), Total phosphorus (T.P, mg/kg), Total potassium (T.K, g/kg), Available potassium (A.K, mg/kg), Soil water content (Water, %) and Soil pH (pH).
Sharing/Access information
This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any.
Links to other publicly accessible locations of the data:
- DOI: 10.3389/fmicb.2023.1079113
Code/Software
All experimental methods, protocols, R code and software can be obtained directly from the online databases and/or publications described in the Methods section.
Methods
These data include microbial composition data, phylogeny data and environment data used in this study. For detailed information, see the Methods part of this study.