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Bacterial Phylum Firmicutes01:27

Bacterial Phylum Firmicutes

Firmicutes is a diverse phylum of Gram-positive bacteria characterized by a low GC content in their genomes. This phylum includes organisms with monoderm or diderm cell envelopes, highlighting a complex evolutionary history. Firmicutes comprises several major orders, including Lactobacillales, Clostridiales, and Bacillales, which exhibit remarkable diversity in their morphology, metabolism, and ecological roles.The order Lactobacillales includes lactic acid bacteria, which are fermentative...
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Overview
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Bacterial RNA Polymerase00:43

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MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
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Published on: February 23, 2021

Small RNAs in the genus Clostridium.

Yili Chen1, Dinesh C Indurthi, Shawn W Jones

  • 1Delaware Biotechnology Institute, Molecular Biotechnology Laboratory, University of Delaware, Newark, Delaware, USA.

Mbio
|January 26, 2011
PubMed
Summary

Researchers developed a novel computational method to identify small RNAs (sRNAs) in Clostridium species. This breakthrough enables systematic study of these regulatory molecules in important bacteria, including pathogens and biotechnological strains.

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Area of Science:

  • Microbiology
  • Genomics
  • Molecular Biology

Background:

  • The genus Clostridium encompasses significant human pathogens and industrially relevant species.
  • Small RNAs (sRNAs) are critical regulatory molecules, but their roles in clostridia remain largely unexplored due to a lack of systematic identification methods.
  • Current research on clostridial sRNAs relies on inefficient, ad-hoc approaches.

Purpose of the Study:

  • To develop and implement a robust computational method for identifying potential sRNAs across the Clostridium genus.
  • To facilitate a systematic investigation into the prevalence and function of sRNAs in clostridial species.
  • To overcome the limitations of previous 'hit-and-miss' sRNA discovery methods in clostridia.

Main Methods:

  • Comparative genomics analyses were performed on 21 Clostridium genomes.
  • Predictions of rho-independent terminators and promoters were integrated into the identification pipeline.
  • Computational predictions were experimentally validated using quantitative reverse transcription-PCR (Q-RT-PCR) and Northern blot analyses in selected strains.

Main Results:

  • A computational pipeline was successfully established to predict sRNAs in 21 clostridial genomes.
  • The majority of predicted sRNAs were confirmed as noncoding, lacking downstream start codons.
  • Experimental validation confirmed a significant fraction of the computationally predicted sRNAs, including a novel conserved sRNA.
  • A newly identified conserved sRNA, co-regulated with an ABC transporter gene, was found to respond to clindamycin treatment.
  • The number of predicted sRNAs correlated with species' physiological roles (pathogenic, cellulolytic, solventogenic) but not with 16S rRNA phylogeny.

Conclusions:

  • The developed method provides a foundation for systematic sRNA research in the Clostridium genus.
  • The findings highlight the potential importance of sRNAs in clostridial physiology and pathogenicity.
  • The discovery of a clindamycin-responsive sRNA suggests novel regulatory mechanisms relevant to antibiotic resistance in clostridia.