Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Filtrar
Más filtros

Banco de datos
Tipo de estudio
Tipo del documento
Asunto de la revista
Intervalo de año de publicación
1.
J Bacteriol ; : e0017624, 2024 Jun 28.
Artículo en Inglés | MEDLINE | ID: mdl-38940597

RESUMEN

The cystic fibrosis (CF) lung environment is conducive to the colonization of bacteria as polymicrobial biofilms, which are associated with poor clinical outcomes for persons with CF (pwCF). Streptococcus spp. are highly prevalent in the CF airway, but its role in the CF lung microbiome is poorly understood. Some studies have shown Streptococcus spp. to be associated with better clinical outcomes for pwCF, while others show that high abundance of Streptococcus spp. is correlated with exacerbations. Our lab previously reported a polymicrobial culture system consisting of four CF-relevant pathogens that can be used to study microbial behavior in a more clinically relevant setting. Here, we use this model system to identify genetic pathways that are important for Streptococcus sanguinis survival in the context of the polymicrobial community. We identified genes related to reactive oxygen species as differentially expressed in S. sanguinis monoculture versus growth of this microbe in the mixed community. Genetic studies identified Dpr as important for S. sanguinis survival in the community. We show that Dpr, a DNA-binding ferritin-like protein, and PerR, a peroxide-responsive transcriptional regulator of Dpr, are important for protecting S. sanguinis from phenazine-mediated toxicity in co-culture with Pseudomonas aeruginosa and when exposed to hydrogen peroxide, both of which mimic the CF lung environment. Characterizing such interactions in a clinically relevant model system contributes to our understanding of microbial behavior in the context of polymicrobial biofilm infections. IMPORTANCE: Streptococcus spp. are recognized as a highly prevalent pathogen in cystic fibrosis (CF) airway infections. However, the role of this microbe in clinical outcomes for persons with CF is poorly understood. Here, we leverage a polymicrobial community system previously developed by our group to model CF airway infections as a tool to investigate a Pseudomonas-Streptococcus interaction involving reactive oxygen species (ROS). We show that protection against ROS is required for Streptococcus sanguinis survival in a clinically relevant polymicrobial system. Using this model system to study interspecies interactions contributes to our broader understanding of the complex role of Streptococcus spp. in the CF lung.

2.
Can J Microbiol ; 63(2): 89-99, 2017 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-28117604

RESUMEN

Transcription is the first and most heavily regulated step in gene expression. Sigma (σ) factors are general transcription factors that reversibly bind RNA polymerase (RNAP) and mediate transcription of all genes in bacteria. σ Factors play 3 major roles in the RNA synthesis initiation process: they (i) target RNAP holoenzyme to specific promoters, (ii) melt a region of double-stranded promoter DNA and stabilize it as a single-stranded open complex, and (iii) interact with other DNA-binding transcription factors to contribute complexity to gene expression regulation schemes. Recent structural studies have demonstrated that when σ factors bind promoter DNA, they capture 1 or more nucleotides that are flipped out of the helical DNA stack and this stabilizes the promoter open-complex intermediate that is required for the initiation of RNA synthesis. This review describes the structure and function of the σ70 family of σ proteins and the essential roles they play in the transcription process.


Asunto(s)
Bacterias/genética , Factor sigma/fisiología , ADN Bacteriano/genética , ARN Polimerasas Dirigidas por ADN/metabolismo , Regiones Promotoras Genéticas , Factor sigma/química , Transcripción Genética
3.
Microbiology (Reading) ; 162(10): 1857-1869, 2016 10.
Artículo en Inglés | MEDLINE | ID: mdl-27558998

RESUMEN

σ factors are single subunit general transcription factors that reversibly bind core RNA polymerase and mediate gene-specific transcription in bacteria. Previously, an atypical two-subunit σ factor was identified that activates transcription from a group of related promoters in Bacillus subtilis. Both of the subunits, named SigO and RsoA, share primary sequence similarity with the canonical σ70 family of σ factors and interact with each other and with RNA polymerase subunits. Here we show that the σ70 region 2.3-like segment of RsoA is unexpectedly sufficient for interaction with the amino-terminus of SigO and the ß' subunit. A mutational analysis of RsoA identified aromatic residues conserved amongst all RsoA homologues, and often amongst canonical σ factors, that are particularly important for the SigO-RsoA interaction. In a canonical σ factor, region 2.3 amino acids bind non-template strand DNA, trapping the promoter in a single-stranded state required for initiation of transcription. Accordingly, we speculate that RsoA region 2.3 protein-binding activity likely arose from a motif that, at least in its ancestral protein, participated in DNA-binding interactions.


Asunto(s)
Bacillus subtilis/metabolismo , Proteínas Bacterianas/química , Proteínas Bacterianas/metabolismo , Factor sigma/química , Factor sigma/metabolismo , Secuencia de Aminoácidos , Bacillus subtilis/química , Bacillus subtilis/genética , Proteínas Bacterianas/genética , Regulación Bacteriana de la Expresión Génica , Regiones Promotoras Genéticas , Unión Proteica , Subunidades de Proteína/química , Subunidades de Proteína/genética , Subunidades de Proteína/metabolismo , Alineación de Secuencia , Factor sigma/genética
4.
Can J Microbiol ; 61(11): 818-26, 2015 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-26367498

RESUMEN

Sigma (σ) factors are single-subunit proteins that reversibly bind RNA polymerase and play an important role in the transcription initiation process. An unusual 2-subunit σ factor, consisting of proteins SigO and RsoA, activates transcription from a group of related promoters in Bacillus subtilis. These 2 proteins specifically interact with each other and with RNA polymerase subunits. This system is widespread among species in several Bacillus-related genera, but otherwise appears restricted to the Firmicutes. Here, we reconstituted SigO-RsoA, and a cognate promoter, into the distantly related heterologous host Escherichia coli to examine whether this system can function in bacteria outside of the Firmicutes. We show that these proteins can productively associate with E. coli RNA polymerase and activate transcription, demonstrating that there are no structural barriers to function. In parallel, we tested a wide array of protein-protein interaction mutations and promoter mutations that impact SigO-RsoA function in both B. subtilis and E. coli and conclude that the SigO-RsoA system behaves, in most instances, similarly in both genetic backgrounds. These data raise the possibility of genetically isolating the system in this heterologous host and away from unknown B. subtilis factors that may also be playing a role in SigO-RsoA regulatory pathways, thus facilitating further study of the system. As a result of this work, we also provide a comprehensive mutational analysis of a SigO-RsoA promoter and report the preliminary identification of amino acids in SigO that play a role in mediating the SigO-RsoA protein-protein interaction.


Asunto(s)
ARN Polimerasas Dirigidas por ADN/metabolismo , Escherichia coli/enzimología , Firmicutes/metabolismo , Factor sigma/metabolismo , Transcripción Genética , Proteínas Bacterianas/metabolismo , Análisis Mutacional de ADN , Escherichia coli/genética , Modelos Genéticos , Mutación , Regiones Promotoras Genéticas , Mapeo de Interacción de Proteínas , Técnicas del Sistema de Dos Híbridos
5.
bioRxiv ; 2023 May 24.
Artículo en Inglés | MEDLINE | ID: mdl-37293107

RESUMEN

Bacterial infections in the lungs of persons with cystic fibrosis are typically composed of multispecies biofilm-like communities, which modulate clinically relevant phenotypes that cannot be explained in the context of a single species culture. Most analyses to-date provide a picture of the transcriptional responses of individual pathogens, however, there is relatively little data describing the transcriptional landscape of clinically-relevant multispecies communities. Harnessing a previously described cystic fibrosis-relevant, polymicrobial community model consisting of Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus sanguinis and Prevotella melaninogenica , we performed an RNA-Seq analysis to elucidate the transcriptional profiles of the community grown in artificial sputum medium (ASM) as compared to growth in monoculture, without mucin, and in fresh medium supplemented with tobramycin. We provide evidence that, although the transcriptional profile of P. aeruginosa is community agnostic, the transcriptomes of S. aureus and S. sanguinis are community aware. Furthermore, P. aeruginosa and P. melaninogenica are transcriptionally sensitive to the presence of mucin in ASM, whereas S. aureus and S. sanguinis largely do not alter their transcriptional profiles in the presence of mucin when grown in a community. Only P. aeruginosa shows a robust response to tobramycin. Genetic studies of mutants altered in community-specific growth provide complementary data regarding how these microbes adapt to a community context. Importance: Polymicrobial infections constitute the majority of infections in the cystic fibrosis (CF) airway, but their study has largely been neglected in a laboratory setting. Our lab previously reported a polymicrobial community that can explain clinical outcomes in the lungs of persons with CF. Here we obtain transcriptional profiles of the community versus monocultures to provide transcriptional information about how this model community responds to CF-related growth conditions and perturbations. Genetic studies provide complementary functional outputs to assess how the microbes adapt to life in a community.

6.
Microbiol Spectr ; : e0220123, 2023 Sep 29.
Artículo en Inglés | MEDLINE | ID: mdl-37772884

RESUMEN

Bacterial infections in the lungs of persons with cystic fibrosis are typically composed of multispecies biofilm-like communities, which modulate clinically relevant phenotypes that cannot be explained in the context of a single species culture. Most analyses to date provide a picture of the transcriptional responses of individual pathogens; however, there is relatively little data describing the transcriptional landscape of clinically relevant multispecies communities. Harnessing a previously described cystic fibrosis-relevant, polymicrobial community model consisting of Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus sanguinis, and Prevotella melaninogenica, we performed an RNA-Seq analysis on the biofilm population to elucidate the transcriptional profiles of the community grown in artificial sputum medium (ASM) as compared to growth in monoculture, without mucin, and in fresh medium supplemented with tobramycin. We provide evidence that, although the transcriptional profile of P. aeruginosa is community agnostic, the transcriptomes of S. aureus and S. sanguinis are community aware. Furthermore, P. aeruginosa and P. melaninogenica are transcriptionally sensitive to the presence of mucin in ASM, whereas S. aureus and S. sanguinis largely do not alter their transcriptional profiles in the presence of mucin when grown in a community. Only P. aeruginosa shows a robust response to tobramycin. Genetic studies of mutants altered in community-specific growth provide complementary data regarding how these microbes adapt to a community context. IMPORTANCE Polymicrobial infections constitute the majority of infections in the cystic fibrosis (CF) airway, but their study has largely been neglected in a laboratory setting. Our lab previously reported a polymicrobial community that can help explain clinical outcomes in the lungs of persons with CF. Here, we obtained transcriptional profiles of the community versus monocultures to provide transcriptional information about how this model community responds to CF-related growth conditions and perturbations. Genetic studies provide complementary functional outputs to assess how the microbes adapt to life in a community.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA