Genome-scale co-expression network comparison across Escherichia coli and Salmonella enterica serovar Typhimurium reveals significant conservation at the regulon level of local regulators despite their dissimilar lifestyles
- PMID: 25101984
- PMCID: PMC4125155
- DOI: 10.1371/journal.pone.0102871
Genome-scale co-expression network comparison across Escherichia coli and Salmonella enterica serovar Typhimurium reveals significant conservation at the regulon level of local regulators despite their dissimilar lifestyles
Abstract
Availability of genome-wide gene expression datasets provides the opportunity to study gene expression across different organisms under a plethora of experimental conditions. In our previous work, we developed an algorithm called COMODO (COnserved MODules across Organisms) that identifies conserved expression modules between two species. In the present study, we expanded COMODO to detect the co-expression conservation across three organisms by adapting the statistics behind it. We applied COMODO to study expression conservation/divergence between Escherichia coli, Salmonella enterica, and Bacillus subtilis. We observed that some parts of the regulatory interaction networks were conserved between E. coli and S. enterica especially in the regulon of local regulators. However, such conservation was not observed between the regulatory interaction networks of B. subtilis and the two other species. We found co-expression conservation on a number of genes involved in quorum sensing, but almost no conservation for genes involved in pathogenicity across E. coli and S. enterica which could partially explain their different lifestyles. We concluded that despite their different lifestyles, no significant rewiring have occurred at the level of local regulons involved for instance, and notable conservation can be detected in signaling pathways and stress sensing in the phylogenetically close species S. enterica and E. coli. Moreover, conservation of local regulons seems to depend on the evolutionary time of divergence across species disappearing at larger distances as shown by the comparison with B. subtilis. Global regulons follow a different trend and show major rewiring even at the limited evolutionary distance that separates E. coli and S. enterica.
Conflict of interest statement
Figures




Similar articles
-
Genome-wide analysis of the PreA/PreB (QseB/QseC) regulon of Salmonella enterica serovar Typhimurium.BMC Microbiol. 2009 Feb 23;9:42. doi: 10.1186/1471-2180-9-42. BMC Microbiol. 2009. PMID: 19236707 Free PMC article.
-
Expression divergence between Escherichia coli and Salmonella enterica serovar Typhimurium reflects their lifestyles.Mol Biol Evol. 2013 Jun;30(6):1302-14. doi: 10.1093/molbev/mst029. Epub 2013 Feb 20. Mol Biol Evol. 2013. PMID: 23427276 Free PMC article.
-
The ancestral stringent response potentiator, DksA has been adapted throughout Salmonella evolution to orchestrate the expression of metabolic, motility, and virulence pathways.Gut Microbes. 2022 Jan-Dec;14(1):1997294. doi: 10.1080/19490976.2021.1997294. Gut Microbes. 2022. PMID: 34923900 Free PMC article.
-
Eavesdropping by bacteria: the role of SdiA in Escherichia coli and Salmonella enterica serovar Typhimurium quorum sensing.Foodborne Pathog Dis. 2011 Feb;8(2):169-78. doi: 10.1089/fpd.2010.0651. Epub 2010 Oct 30. Foodborne Pathog Dis. 2011. PMID: 21034261 Review.
-
Molecular Profiling: Catecholamine Modulation of Gene Expression in Escherichia coli O157:H7 and Salmonella enterica Serovar Typhimurium.Adv Exp Med Biol. 2016;874:167-82. doi: 10.1007/978-3-319-20215-0_7. Adv Exp Med Biol. 2016. PMID: 26589218 Review.
Cited by
-
CoNekT: an open-source framework for comparative genomic and transcriptomic network analyses.Nucleic Acids Res. 2018 Jul 2;46(W1):W133-W140. doi: 10.1093/nar/gky336. Nucleic Acids Res. 2018. PMID: 29718322 Free PMC article.
-
Analysis of Genome-scale Expression Network in Four Major Bacterial Residents of Cystic Fibrosis Lung.Curr Genomics. 2014 Oct;15(5):408-18. doi: 10.2174/1389202915666140818205444. Curr Genomics. 2014. PMID: 25435803 Free PMC article.
-
PhytoNet: comparative co-expression network analyses across phytoplankton and land plants.Nucleic Acids Res. 2018 Jul 2;46(W1):W76-W83. doi: 10.1093/nar/gky298. Nucleic Acids Res. 2018. PMID: 29718316 Free PMC article.
-
Salmonella Regulator STM0347 Mediates Flagellar Phase Variation via Hin Invertase.Int J Mol Sci. 2022 Jul 30;23(15):8481. doi: 10.3390/ijms23158481. Int J Mol Sci. 2022. PMID: 35955615 Free PMC article.
-
A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria.Front Antibiot. 2024 Jun 18;3:1405296. doi: 10.3389/frabi.2024.1405296. eCollection 2024. Front Antibiot. 2024. PMID: 39816256 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources