Data from: Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome

Bergelson J, Mittelstrass J, Horton MW

Date Published: January 10, 2019

DOI: https://doi.org/10.5061/dryad.n7n170m

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Title Root microbiome phenotypes
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Description This tar-gz file contains phenotypes related to alpha-diversity (species richness) and beta-diversity (modeled using PCA). In the case of richness, we estimated species richness in the bacterial, fungal, and combined (bacterial and fungal) communities. In the paper, we also introduced the phenotype 'bacterial preference', which measures whether an accession's roots form a better habitat for either bacteria or fungi (or diversity within these communities; the estimates are in the phenotype file: slant.1.tn2.ranef_diff_exps.txt). The phenotype files for PCA are also included.
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Title Arabidopsis thaliana root microbiome, GWAS results
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Description Results from GWAS of species richness (the folder gwas_alpha) and beta diversity (modeled using PCA; the folder is gwas_pca). The tar gz file includes 'reports' (e.g. the top SNPs after GWAS) and image files (manhattan plots). The Methods section of the paper describes the procedure(s) used in GWAS. For more information about the phenotypes, please see the description for the phenotypes.tgz file.
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When using this data, please cite the original publication:

Bergelson J, Mittelstrass J, Horton MW (2019) Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome. Scientific Reports 9(1): 24. https://doi.org/10.1038/s41598-018-37208-z

Additionally, please cite the Dryad data package:

Bergelson J, Mittelstrass J, Horton MW (2019) Data from: Characterizing both bacteria and fungi improves understanding of the Arabidopsis root microbiome. Dryad Digital Repository. https://doi.org/10.5061/dryad.n7n170m
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