RRC ID 60630
Author Dang THY, Tyagi S, D'Cunha G, Bhave M, Crawford R, Ivanova EP.
Title Computational prediction of microRNAs in marine bacteria of the genus Thalassospira.
Journal PLoS One
Abstract MicroRNAs (miRNAs) are key players in regulation of gene expression at post-transcription level in eukaryotic cells. MiRNAs have been intensively studied in plants, animals and viruses. The investigations of bacterial miRNAs have gained less attention, except for the recent studies on miRNAs derived from Streptococcus mutans ATCC 25175 and Escherichia coli DH10B. In this study, high-throughput sequencing approach was employed to investigate the miRNA population in bacteria of the genus Thalassospira using both the miRDeep2 and CID-miRNA methods. A total of 984 putative miRNAs were identified in 9 species of the genus Thalassospira using both miRDeep and CID-miRNA analyses. Fifty seven conserved putative miRNAs were found in different species of the genus Thalassospira, and up to 6 miRNAs were found to be present at different locations in the T. alkalitolerans JCM 18968T, T. lucentensis QMT2T and T. xianhensis P-4T. None of the putative miRNAs was found to share sequence to the reported miRNAs in E. coli DH10B and S. mutans ATCC 25175. The findings provide a comprehensive list of computationally identified miRNAs in 9 bacterial species of the genus Thalassospira and addressed the existing knowledge gap on the presence of miRNAs in the Thalassospira genomes.
Volume 14(3)
Pages e0212996
Published 2019-1-1
DOI 10.1371/journal.pone.0212996
PII PONE-D-17-31048
PMID 30861013
PMC PMC6413936
MeSH Aquatic Organisms / genetics* Computational Biology Gene Expression Regulation, Bacterial High-Throughput Nucleotide Sequencing MicroRNAs* Rhodospirillaceae / genetics* Seawater / microbiology Sequence Analysis, RNA
IF 2.776
Times Cited 0
General Microbes JCM31222 JCM18968 JCM18969 JCM18746 JCM14578 JCM14850