Comparative Transcriptomics Reveal Differential Expression of Coding and Non-Coding RNAs in Clinical Strains of Mycobacterium tuberculosis

Coding and non-coding RNAs (ncRNAs) are potential novel markers that can be exploited for TB diagnostics in the fight against <i>Mycobacterium tuberculosis</i>. The current study investigated the mechanisms of transcript regulation and ncRNA signatures through Total RNA Seq and small (smRNA) RNA Seq followed by Bioinformatics analysis in Beijing and F15/LAM4/KZN (KZN) clinical strains compared to the laboratory strain. Total RNA Seq revealed differential regulation of RNA transcripts in Beijing (n = 1095) and KZN (n = 856) strains compared to the laboratory H37Rv strain. The KZN vs. H37Rv coding transcripts uniquely enriched fatty acids, steroid degradation, fructose, and mannose metabolism as well as a bacterial secretion system. In contrast, Tuberculosis and biosynthesis of siderophores KEGG pathways were enriched by the Beijing vs. H37Rv-specific transcripts. Novel sense and antisense ncRNAs, as well as the expression of these transcripts, were observed, and these targeted RNA transcripts are involved in cell wall synthesis and bacterial metabolism in a strain-specific manner. RNA transcripts identified in the current study offer insights into gene regulation of transcripts involved in the growth and metabolism of the clinically relevant KZN and Beijing strains compared to the laboratory H37Rv strain and thus can be exploited in the fight against Tuberculosis.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-12-30
DOI
https://doi.org/10.3390/ijms26010217
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparative Transcriptomics Reveal Differential Expression of Coding and Non-Coding RNAs in Clinical Strains of Mycobacterium tuberculosis

Nontobeko E. Mvubu, Manormoney Pillay, Divenita Govender
International Journal of Molecular Sciences
Tuberculosis Research and Epidemiology
article

Comparative Transcriptomics Reveal Differential Expression of Coding and Non-Coding RNAs in Clinical Strains of Mycobacterium tuberculosis

Nontobeko E. Mvubu, Manormoney Pillay, Divenita Govender
article en

Abstract

Coding and non-coding RNAs (ncRNAs) are potential novel markers that can be exploited for TB diagnostics in the fight against <i>Mycobacterium tuberculosis</i>. The current study investigated the mechanisms of transcript regulation and ncRNA signatures through Total RNA Seq and small (smRNA) RNA Seq followed by Bioinformatics analysis in Beijing and F15/LAM4/KZN (KZN) clinical strains compared to the laboratory strain. Total RNA Seq revealed differential regulation of RNA transcripts in Beijing (n = 1095) and KZN (n = 856) strains compared to the laboratory H37Rv strain. The KZN vs. H37Rv coding transcripts uniquely enriched fatty acids, steroid degradation, fructose, and mannose metabolism as well as a bacterial secretion system. In contrast, Tuberculosis and biosynthesis of siderophores KEGG pathways were enriched by the Beijing vs. H37Rv-specific transcripts. Novel sense and antisense ncRNAs, as well as the expression of these transcripts, were observed, and these targeted RNA transcripts are involved in cell wall synthesis and bacterial metabolism in a strain-specific manner. RNA transcripts identified in the current study offer insights into gene regulation of transcripts involved in the growth and metabolism of the clinically relevant KZN and Beijing strains compared to the laboratory H37Rv strain and thus can be exploited in the fight against Tuberculosis.

International Journal of Molecular SciencesVol. 26(1)
University of KwaZulu-Natal (ZA)
European Commission, Inyuvesi Yakwazulu-Natali, European and Developing Countries Clinical Trials Partnership
Good health and well-being
Openalex Percentile: Top 70%
Tuberculosis Research and Epidemiology
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Comparative Transcriptomics Reveal Differential Expression of Coding and Non-Coding RNAs in Clinical Strains of Mycobacterium tuberculosis — Nontobeko E. Mvubu, Manormoney Pillay, et al. · International Journal of Molecular Sciences (2024) | TGRS Research Map | TGRS