A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation.

ABSTRACT: Small regulatory RNAs and antisense RNAs play important roles in the regulation of gene expression in bacteria but are underexplored, especially in natural populations. While environmentally relevant microbes often are not amenable to genetic manipulation or cannot be cultivated in the laboratory, extensive metagenomic and metatranscriptomic datasets for these organisms might be available. Hence, dedicated workflows for specific analyses are needed to fully benefit from this information. Here, we identified abundant sRNAs from oceanic environmental populations of the ecologically important primary producer Prochlorococcus starting from a metatranscriptomic differential RNA-Seq (mdRNA-Seq) dataset. We tracked their homologs in laboratory isolates, and we provide a framework for their furthe

SUBMITTER: Lott SC 

PROVIDER: S-EPMC7368042 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature