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Updated: Jul 15, 2025

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae
Published on: April 25, 2015
Transcriptome-wide marker gene expression analysis of stress-responsive sulfate-reducing bacteria
Kalimuthu Jawaharraj1,2,3, Vincent Peta4, Saurabh Sudha Dhiman1,3,5
1Civil and Environmental Engineering, South Dakota Mines, 501 E. St. Joseph Street, Rapid City, SD, 57701, USA.
Sulfate-reducing bacteria (SRB) play key roles in environmental cycles and infrastructure corrosion. This study deciphers their stress response mechanisms using genomic and transcriptomic analyses, paving the way for predictive deep learning tools.
Area of Science:
- Microbiology
- Environmental Science
- Genomics
Background:
- Sulfate-reducing bacteria (SRB) are crucial in anaerobic ecosystems and cause significant infrastructure biocorrosion.
- Understanding SRB genetic mechanisms under environmental stress is vital due to economic impacts.
Purpose of the Study:
- To analyze the stress response mechanisms of four SRB species.
- To identify key transcriptional signatures and gene clusters involved in SRB environmental adaptation.
Main Methods:
- Utilized transcriptome-wide marker gene panel mapping and gene clustering analysis.
- Mined public RNA-sequencing data and generated in-house data for Oleidesulfovibrio alaskensis.
- Performed comparative genomic analysis.
Main Results:
- Identified crucial transcriptional candidate genes in Desulfovibrio spp. and validated gene cluster predictions.
- Revealed unique transcriptional signatures of Oleidesulfovibrio alaskensis at graphene and copper interfaces.
- Comparative genomics showed 12,821 translated genes across four SRB genomes.
Conclusions:
- The study provides insights into SRB genetic regulation under stress.
- Paves the way for developing predictive deep learning tools for SRB gene regulation analysis.
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