Data from: Genome-wide association analyses in the model rhizobium Ensifer meliloti

Brendan Epstein, Reda A.L. Abou-Shanab, Abdelaal Shameldsin, Margaret R. Taylor, Joseph Guhlin, Liana T. Burghardt, Matthew Nelson, Michael J. Sadowsky, Peter Tiffin & Reda A. I. Abou-Shanab
Genome-wide association studies (GWAS) can identify genetic variants responsible for naturally occurring and quantitative phenotypic variation and therefore provide a powerful complement to approaches that rely on de novo mutations for characterizing gene function. Although bacteria should be amenable to GWAS, few GWAS have been conducted on bacteria, and the extent to which non-independence among genomic variants (e.g. linkage disequilibrium, LD) and the genetic architecture of phenotypic traits will affect GWAS performance is unclear. We...
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