DOI: 10.5061/dryad.5f24ks4
title: Data from: Soil abiotic variables are more important than Salicaceae phylogeny or habitat specialization in determining soil microbial community structure

description: Predicting the outcome of interspecific interactions is a central goal in
 ecology. The diverse soil microbes that interact with plants are shaped by
 different aspects of plant identity, such as phylogenetic history and
 functional group. Species interactions may also be strongly shaped by
 abiotic environment, but there is mixed evidence on the relative
 importance of environment, plant identity, and their interactions in
 shaping soil microbial communities. Using a multi-factor, split-plot field
 experiment, we tested how hydrologic context, and three facets of
 Salicaceae plant identity - habitat specialization, phylogenetic distance,
 and species identity - influence soil microbial community structure.
 Analysis of microbial community sequencing data with generalized
 dissimilarity models showed that abiotic environment explained up to 25%
 of variation in community composition of soil bacteria, fungi, and
 archaea, while Salicaceae identity influenced less than 1% of the
 variation in community composition of soil microbial taxa. Multivariate
 linear models indicated that the influence of Salicaceae identity was
 small, but did contribute to differentiation of soil microbes within
 treatments. Moreover, results from a microbial niche breadth analysis show
 that soil microbes in wetlands have more specialized host associations
 than soil microbes in drier environments - showing that abiotic
 environment changed how plant identity correlated with soil microbial
 communities. This study demonstrates the predominance of major abiotic
 factors in shaping soil microbial community structure; the significance of
 abiotic context to biotic influence on soil microbes; and the utility of
 field experiments to disentangling the abiotic and biotic factors that are
 thought to be most essential for soil microbial communities.
description: OTU table, taxonomy, and
 sample data for doi:10.5061/dryad.5f24ks4This .RData image
 contains the Operational Taxonomic Unit (OTU) tables, OTU taxonomy, and
 sample metadata for each of the taxonomic groups and guilds analyzed in
 our paper. A phyloseq object combining the three datasets for fungi,
 bacteria, archaea, arbuscular mycorrhizal fungi, ectomycorrhizal fungi,
 saprotrophic fungi and pathogenic fungi are also provided. Please see the
 README file for descriptions of the data files.OTU_taxonomy_sample_data_10.5061dryad5f24ks4.RData16S raw otu table and taxonomy tableThis biom file contains the unrarefied otu table and taxonomy table of 16S reads. The matching sample data file is "raw16S_sampledata.csv". The READ ME file for the RData image contains all the explanations of the data files.raw16S_otus_tax.biomraw16S_sample_dataThis sample data corresponds to the raw 16S biom file. The data is described in the RData READ ME file.rawITS_otus_taxThis biom file contains the unrarefied ITS otu table, taxonomy file, and FUNguild annotations. The corresponding sample data is "rawITS_sample_data.csv".rawITS_sample_dataThis ITS sample data file matches the unrarefied ITS biom data. The READ ME file for the RData contains all the sample data descriptions.