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. 2022:2481:353-367.
doi: 10.1007/978-1-0716-2237-7_20.

Plant Microbiome-Based Genome-Wide Association Studies

Siwen Deng #  1   2 , Michael A Meier #  3   4 , Daniel Caddell  1   2 , Jinliang Yang  3   4 , Devin Coleman-Derr  5   6
Affiliations

Plant Microbiome-Based Genome-Wide Association Studies

Siwen Deng et al. Methods Mol Biol. 2022.

Abstract

Plants form intimate associations with microorganisms, and these associations are directly impacted by the host genotype. However, identifying specific host genetic pathways that influence these microbial interactions has proved challenging. Genome-wide association-based approaches that use features of microbiome composition as a quantitative trait represent a novel and underutilized strategy to identify such pathways. Several recent studies have demonstrated the potential utility of plant microbiome-based genome-wide association studies (GWAS). In this chapter, we describe the process of implementing GWAS using the plant microbiome as the primary quantitative trait, considering experimental design, sample harvest, and processing, but with an emphasis on data filtering, data normalization, and statistical analyses.

Keywords: Amplicon sequencing; Genome-wide association study; Next-generation sequencing; Plant microbiome; Rhizosphere.

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