45Host genetics has recently been shown to be a driver of plant microbiome composition. However, 46 identifying the underlying genetic loci controlling microbial selection remains challenging. 47 Genome wide association studies (GWAS) represent a potentially powerful, unbiased method to 48 identify microbes sensitive to host genotype, and to connect them with the genetic loci that 49 influence their colonization. Here, we conducted a population-level microbiome analysis of the 50 rhizospheres of 200 sorghum genotypes. Using 16S rRNA amplicon sequencing, we identify 51 rhizosphere-associated bacteria exhibiting heritable associations with plant genotype, and identify 52 significant overlap between these lineages and heritable taxa recently identified in maize.
53Furthermore, we demonstrate that GWAS can identify host loci that correlate with the abundance 54 of specific subsets of the rhizosphere microbiome. Finally, we demonstrate that these results can 55 be used to predict rhizosphere microbiome structure for an independent panel of sorghum 56 genotypes based solely on knowledge of host genotypic information. 57 58 sorghum 60 61Recent work has shown that root-associated microbial communities are in part shaped by host 63 genetics 1-4 . A study comparing the root microbiomes of a broad range of cereal crops has 64 demonstrated a strong correlation between host genetic differences and microbiome composition 4 , 65 suggesting that a subset of the plant microbiome may be influenced by host genotype across a 66 range of plant hosts. In maize, these genotype-sensitive, or "heritable", microbes are 67 phylogenetically clustered within specific taxonomic groups 5 ; however, it is unclear whether the 68 increased genotype sensitivity in these lineages is unique to the maize microbiome or is common 69 to other plant hosts as well.
71Despite consistent evidence of the interaction between host genetics and plant microbiome 72 composition, identifying specific genetic elements driving host-genotype dependent microbiome 73 acquisition and assembly in plants remains a challenge. Recent efforts guided by a priori 74 hypotheses of gene involvement have begun to dissect the impact of individual genes on 75 microbiome composition 6,7 . However, these studies are limited to a small fraction of plant genes 76 predicted to function in microbiome-related processes. Additionally, many plant traits expected to 77 impact microbiome composition and activity, such as root exudation 8 and root system architecture 9 , 78 are inherently complex and potentially governed by a very large number of genes. For these 79 reasons, there is a need for alternative, large-scale and unbiased methods for identifying the genes 80 that regulate host-mediated selection of the microbiome.
82Genome-wide association studies (GWAS) represent a powerful approach to map loci that are 83 associated with complex traits in a genetically diverse population. Though pioneered for use in 84 human genetics, to date the majority of GWAS have been conducted in pla...