Unknown

Dataset Information

Disentangling leaf-microbiome interactions in Arabidopsis thaliana by network mapping.


ABSTRACT: The leaf microbiota plays a key role in plant development, but a detailed mechanism of microbe-plant relationships remains elusive. Many genome-wide association studies (GWAS) have begun to map leaf microbes, but few have systematically characterized the genetics of how microbes act and interact. Previously, we integrated behavioral ecology and game theory to define four types of microbial interactions - mutualism, antagonism, aggression, and altruism, in a microbial community assembly. Here, we apply network mapping to identify specific plant genes that mediate the topological architecture of microbial networks. Analyzing leaf microbiome data from an Arabidopsis GWAS, we identify several heritable hub microbes for leaf microbial communities and detect 140-728 SNPs (Single nucleotid

SUBMITTER: Li K 

PROVIDER: S-EPMC9583167 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature