Tomato RNA-seq Data Mining Reveals the Taxonomic and Functional Diversity of Root-Associated Microbiota.

ABSTRACT: Next-generation approaches have enabled researchers to deeply study the plant microbiota and to reveal how microbiota associated with plant roots has key effects on plant nutrition, disease resistance, and plant development. Although early "omics" experiments focused mainly on the species composition of microbial communities, new "meta-omics" approaches such as meta-transcriptomics provide hints about the functions of the microbes when interacting with their plant host. Here, we used an RNA-seq dataset previously generated for tomato (Solanum lycopersicum) plants growing on different native soils to test the hypothesis that host-targeted transcriptomics can detect the taxonomic and functional diversity of root microbiota. Even though the sequencing throughput for the microbia

SUBMITTER: Chialva M 

PROVIDER: S-EPMC7022885 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature