Data and code Ecol Lett

Plant-soil feedback (PSF) can both positively and negatively affect plant populations. Diverse communities should dilute pathogens and mitigate negative PSF, whereas plant dominance should have the opposite effect. It is unclear, however, whether increased species and genetic diversity can have additive effects on pathogen dilution. Using soils from <i>Medicago sativa</i> production systems varying in dominance and diversity, we inoculated multiple species and cultivars to assess effects on PSF. We linked dominance and diversity to intra- and interspecific variation in PSF via changes in microbiome composition. Included data are the feature tables for each of the sequenced samples for bacteria (bact_meta_all.txt), fungi (fung.csv), oomycetes (oom.csv), and arbuscular mycorrhizal fungi (amf.csv). Also included is the code to generate the ordinations used in the paper (Correlations and Ordinations.R). The raw sequencing data has been deposited under BioProject accession PRJNA1125521 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1125521).We also include the raw biomass data from the growth chamber experiment (Final Bennett Awodele data shoot mass.csv), all the field data (all_field_data.txt), and the data used to construct the structural equation model (Bennett et al Plant and soil data alfalfa study.csv). The code used to compare PSF values among cultivars and species is contained in “Correlations and Ordinations.R”. The code for the structural equation model is included in a word document (Bennett SPSS AMS syntax code.docx). The full model output is included as “AMOS model output.xlsx”, as are the summarized direct (regression weights for graphing.csv) and indirect effects (indirect effects for graphing.csv) used to generate Figures 2 and 3. The code for generating these figures is located in “interspecific PSF SEM model graphs.R”.