Genomics

Dataset Information

0

Transcriptome analysis of S. maltophilia in the exponential and stationary phases and after a treatment with quorum sensing autoinducers.


ABSTRACT: Stenotrophomonas maltophilia is an emerging opportunistic multidrug-resistant pathogen frequently co-isolated with other relevant nosocomial pathogens in respiratory tract infections. S. maltophilia uses the endogenous DSF quorum sensing (QS) system to regulate virulence processes but can also respond to exogenous AHL signals produced by neighboring bacteria. A whole-transcriptome sequencing analysis was performed for S. maltophilia strain K279a in the exponential and stationary phases and in exponential cultures after a treatment with exogenous DSF or AHLs. Our first analysis reveals that during the beginning of the stationary phase 1673 genes are differentially expressed representing 37% of total genomic content. COG analysis showed that most of these genes were enriched for energetic metabolism processes and regulation of gene expression. In a second analysis, and after adding DSF or AHLs to cultures in exponential phase, 82 and 28 were found deregulated respectively, 22 of which were commonly upregulated by both autoinducers. Interestingly, among these genes affected by both DSFs and AHLs, 14 functional genes were also upregulated in the stationary phase. Gene functions regulated by all tested conditions include lipid and amino acid metabolism, stress response and signal transduction mechanisms, nitrogen and iron metabolism, and adaptation to microoxic conditions. Overall, our findings provide clues on the role that the QS could have in the transition from the exponential to the stationary phase in S. maltophilia and for the bacterial fitness for high-density growth.

ORGANISM(S): Stenotrophomonas maltophilia K279a

PROVIDER: GSE206442 | GEO | 2023/05/16

REPOSITORIES: GEO

Similar Datasets

2023-05-16 | GSE206554 | GEO
2017-08-18 | GSE60490 | GEO
2015-11-18 | GSE71735 | GEO
2014-07-18 | E-GEOD-54381 | biostudies-arrayexpress
2015-01-31 | GSE65448 | GEO
2010-04-23 | E-GEOD-13527 | biostudies-arrayexpress
2010-04-23 | E-GEOD-13633 | biostudies-arrayexpress
2018-03-30 | GSE110628 | GEO
| PRJNA96597 | ENA
2015-01-31 | E-GEOD-65448 | biostudies-arrayexpress