ArticlePloS one2019
Computational prediction of microRNAs in marine bacteria of the genus Thalassospira.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Profiling of Differentially Expressed MicroRNAs in Human Umbilical Vein Endothelial Cells Exposed to Hyperglycemia via RNA Sequencing.Life (Basel, Switzerland) · 2023Article
- Comparative Genomic Analysis of VirulentMicroorganisms · 2023Article
- BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria.Briefings in bioinformatics · 2022Article
- Identification of putative microRNAs in the complete genome of Mycobacterium avium and their possible interaction with human transcripts.Journal of applied genetics · 2022Article
- RNA Sequencing Unveils Very Small RNAs With Potential Regulatory Functions in Bacteria.Frontiers in molecular biosciences · 2022Article
- Small RNAs Asserting Big Roles in Mycobacteria.Non-coding RNA · 2021Review
- Identification of homologous human miRNAs as antivirals towards COVID-19 genome.Advances in cell and gene therapy · 2021Article
- Regulatory RNAs: A Universal Language for Inter-Domain Communication.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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