Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic>
ABSTRACT Transcription factors (TFs) are instrumental in the bacterial response to new environmental conditions. They can act as direct signal sensors and subsequently induce changes in gene expression leading to physiological adaptation. Here, by combining transcriptome sequencing (RNA-seq) and cis...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
American Society for Microbiology
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/198bfe9e84b34231a767d33a62497784 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:198bfe9e84b34231a767d33a62497784 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:198bfe9e84b34231a767d33a624977842021-12-02T19:36:37ZTranscription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic>10.1128/mSystems.00753-202379-5077https://doaj.org/article/198bfe9e84b34231a767d33a624977842021-02-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00753-20https://doaj.org/toc/2379-5077ABSTRACT Transcription factors (TFs) are instrumental in the bacterial response to new environmental conditions. They can act as direct signal sensors and subsequently induce changes in gene expression leading to physiological adaptation. Here, by combining transcriptome sequencing (RNA-seq) and cistrome determination (DAP-seq), we studied a family of eight TFs in Pseudomonas aeruginosa. This family, encompassing TFs with XRE-like DNA-binding and cupin signal-sensing domains, includes the metabolic regulators ErfA, PsdR, and PauR and five so-far-unstudied TFs. The genome-wide delineation of their regulons identified 39 regulatory interactions with genes mostly involved in metabolism. We found that the XRE-cupin TFs are inhibitors of their neighboring genes, forming local, functional units encoding proteins with functions in condition-specific metabolic pathways. Growth phenotypes of isogenic mutants highlighted new roles for PauR and PA0535 in polyamines and arginine metabolism. The phylogenetic analysis of this family of regulators across the bacterial kingdom revealed a wide diversity of such metabolic regulatory modules and identified species with potentially higher metabolic versatility. Numerous genes encoding uncharacterized XRE-cupin TFs were found near metabolism-related genes, illustrating the need of further systematic characterization of transcriptional regulatory networks in order to better understand the mechanisms of bacterial adaptation to new environments. IMPORTANCE Bacteria of the Pseudomonas genus, including the major human pathogen Pseudomonas aeruginosa, are known for their complex regulatory networks and high number of transcription factors, which contribute to their impressive adaptive ability. However, even in the most studied species, most of the regulators are still uncharacterized. With the recent advances in high-throughput sequencing methods, it is now possible to fill this knowledge gap and help the understanding of how bacteria adapt and thrive in new environments. By leveraging these methods, we provide an example of a comprehensive analysis of an entire family of transcription factors and bring new insights into metabolic and regulatory adaptation in the Pseudomonas genus.Julian TrouillonMichel RagnoVictor SimonIna AttréeSylvie ElsenAmerican Society for MicrobiologyarticlePseudomonas aeruginosatranscription factorsXRE-cupinRNA-seqDAP-seqglobal regulatory networksMicrobiologyQR1-502ENmSystems, Vol 6, Iss 1 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Pseudomonas aeruginosa transcription factors XRE-cupin RNA-seq DAP-seq global regulatory networks Microbiology QR1-502 |
spellingShingle |
Pseudomonas aeruginosa transcription factors XRE-cupin RNA-seq DAP-seq global regulatory networks Microbiology QR1-502 Julian Trouillon Michel Ragno Victor Simon Ina Attrée Sylvie Elsen Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
description |
ABSTRACT Transcription factors (TFs) are instrumental in the bacterial response to new environmental conditions. They can act as direct signal sensors and subsequently induce changes in gene expression leading to physiological adaptation. Here, by combining transcriptome sequencing (RNA-seq) and cistrome determination (DAP-seq), we studied a family of eight TFs in Pseudomonas aeruginosa. This family, encompassing TFs with XRE-like DNA-binding and cupin signal-sensing domains, includes the metabolic regulators ErfA, PsdR, and PauR and five so-far-unstudied TFs. The genome-wide delineation of their regulons identified 39 regulatory interactions with genes mostly involved in metabolism. We found that the XRE-cupin TFs are inhibitors of their neighboring genes, forming local, functional units encoding proteins with functions in condition-specific metabolic pathways. Growth phenotypes of isogenic mutants highlighted new roles for PauR and PA0535 in polyamines and arginine metabolism. The phylogenetic analysis of this family of regulators across the bacterial kingdom revealed a wide diversity of such metabolic regulatory modules and identified species with potentially higher metabolic versatility. Numerous genes encoding uncharacterized XRE-cupin TFs were found near metabolism-related genes, illustrating the need of further systematic characterization of transcriptional regulatory networks in order to better understand the mechanisms of bacterial adaptation to new environments. IMPORTANCE Bacteria of the Pseudomonas genus, including the major human pathogen Pseudomonas aeruginosa, are known for their complex regulatory networks and high number of transcription factors, which contribute to their impressive adaptive ability. However, even in the most studied species, most of the regulators are still uncharacterized. With the recent advances in high-throughput sequencing methods, it is now possible to fill this knowledge gap and help the understanding of how bacteria adapt and thrive in new environments. By leveraging these methods, we provide an example of a comprehensive analysis of an entire family of transcription factors and bring new insights into metabolic and regulatory adaptation in the Pseudomonas genus. |
format |
article |
author |
Julian Trouillon Michel Ragno Victor Simon Ina Attrée Sylvie Elsen |
author_facet |
Julian Trouillon Michel Ragno Victor Simon Ina Attrée Sylvie Elsen |
author_sort |
Julian Trouillon |
title |
Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
title_short |
Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
title_full |
Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
title_fullStr |
Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
title_full_unstemmed |
Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in <italic toggle="yes">Pseudomonas</italic> |
title_sort |
transcription inhibitors with xre dna-binding and cupin signal-sensing domains drive metabolic diversification in <italic toggle="yes">pseudomonas</italic> |
publisher |
American Society for Microbiology |
publishDate |
2021 |
url |
https://doaj.org/article/198bfe9e84b34231a767d33a62497784 |
work_keys_str_mv |
AT juliantrouillon transcriptioninhibitorswithxrednabindingandcupinsignalsensingdomainsdrivemetabolicdiversificationinitalictoggleyespseudomonasitalic AT michelragno transcriptioninhibitorswithxrednabindingandcupinsignalsensingdomainsdrivemetabolicdiversificationinitalictoggleyespseudomonasitalic AT victorsimon transcriptioninhibitorswithxrednabindingandcupinsignalsensingdomainsdrivemetabolicdiversificationinitalictoggleyespseudomonasitalic AT inaattree transcriptioninhibitorswithxrednabindingandcupinsignalsensingdomainsdrivemetabolicdiversificationinitalictoggleyespseudomonasitalic AT sylvieelsen transcriptioninhibitorswithxrednabindingandcupinsignalsensingdomainsdrivemetabolicdiversificationinitalictoggleyespseudomonasitalic |
_version_ |
1718376367306833920 |