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1.
J Infect Dis ; 217(6): 988-999, 2018 03 05.
Artículo en Inglés | MEDLINE | ID: mdl-29267892

RESUMEN

Mucosal-associated invariant T (MAIT) cells represent an innate T-cell population that can recognize ligands generated by the microbial riboflavin synthesis pathway, presented via the major histocompatibility complex class I-related molecule (MR1). Streptococcus pneumoniae is a major human pathogen that is also associated with commensal carriage; thus, host control at the mucosal interface is critical. The recognition of pneumococci by MAIT cells has not been defined nor have the genomics and transcriptomics of the riboflavin operon. We observed robust recognition of pneumococci by MAIT cells, using both MR1-dependent and MR1-independent pathways. The pathway used was dependent on the antigen-presenting cell. The riboflavin operon was highly conserved across a range of 571 pneumococci from 39 countries, dating back to 1916, and different versions of the riboflavin operon were also identified in related Streptococcus species. These data indicate an important functional relationship between MAIT cells and pneumococci.


Asunto(s)
Citocinas/metabolismo , Genes MHC Clase I/inmunología , Células T Invariantes Asociadas a Mucosa/fisiología , Streptococcus pneumoniae/genética , Células Cultivadas , Citocinas/genética , Genoma Bacteriano , Humanos , Inmunidad Celular , Macrófagos , Operón , Riboflavina/biosíntesis , Streptococcus pneumoniae/clasificación , Regulación hacia Arriba
2.
Nat Commun ; 10(1): 5412, 2019 11 27.
Artículo en Inglés | MEDLINE | ID: mdl-31776347

RESUMEN

Specific communication between gene promoters and enhancers is critical for accurate regulation of gene expression. However, it remains unclear how specific interactions between multiple regulatory elements contained within a single chromatin domain are coordinated. Recent technological advances which can detect multi-way chromatin interactions at single alleles can provide insights into how multiple regulatory elements cooperate or compete for transcriptional activation. Here, we use such an approach to investigate how interactions of the α-globin enhancers are distributed between multiple promoters in a mouse model in which the α-globin domain is extended to include several additional genes. Our data show that gene promoters do not form mutually exclusive interactions with enhancers, but all interact simultaneously in a single complex. These findings suggest that promoters do not structurally compete for interactions with enhancers, but form a regulatory hub structure, which is consistent with recent models of transcriptional activation occurring in non-membrane bound nuclear compartments.


Asunto(s)
Cromatina/genética , Regiones Promotoras Genéticas , Globinas alfa/genética , Animales , Sitios de Unión , Cromatina/metabolismo , Elementos de Facilitación Genéticos , Femenino , Sitios Genéticos , Proteínas de la Membrana/genética , Ratones Endogámicos C57BL , Ratones Mutantes , Modelos Genéticos
3.
Front Microbiol ; 9: 2012, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-30210481

RESUMEN

Competition among bacterial members of the same ecological niche is mediated by bacteriocins: antimicrobial peptides produced by bacterial species to kill other bacteria. Bacteriocins are also promising candidates for novel antimicrobials. Streptococcus pneumoniae (the "pneumococcus") is a leading cause of morbidity and mortality worldwide and a frequent colonizer of the human nasopharynx. Here, 14 newly discovered bacteriocin gene clusters were identified among >6,200 pneumococcal genomes. The molecular epidemiology of the bacteriocin clusters was investigated using a large global and historical pneumococcal dataset dating from 1916. These analyses revealed extraordinary bacteriocin diversity among pneumococci and the majority of bacteriocin clusters were also found in other streptococcal species. Genomic hotspots for the integration of different bacteriocin gene clusters were discovered. Experimentally, bacteriocin genes were transcriptionally active when the pneumococcus was under stress and when two strains were co-cultured in broth. These findings reveal much more diversity among bacterial defense mechanisms than previously appreciated, which fundamentally broaden our understanding of bacteriocins relative to intraspecies and interspecies nasopharyngeal competition and bacterial population structure.

4.
Sci Rep ; 7: 42976, 2017 02 20.
Artículo en Inglés | MEDLINE | ID: mdl-28218261

RESUMEN

Bacteriophages (phages) infect many bacterial species, but little is known about the diversity of phages among the pneumococcus, a leading global pathogen. The objectives of this study were to determine the prevalence, diversity and molecular epidemiology of prophages (phage DNA integrated within the bacterial genome) among pneumococci isolated over the past 90 years. Nearly 500 pneumococcal genomes were investigated and RNA sequencing was used to explore prophage gene expression. We revealed that every pneumococcal genome contained prophage DNA. 286 full-length/putatively full-length pneumococcal prophages were identified, of which 163 have not previously been reported. Full-length prophages clustered into four major groups and every group dated from the 1930-40 s onward. There was limited evidence for genes shared between prophage clusters. Prophages typically integrated in one of five different sites within the pneumococcal genome. 72% of prophages possessed the virulence genes pblA and/or pblB. Individual prophages and the host pneumococcal genetic lineage were strongly associated and some prophages persisted for many decades. RNA sequencing provided clear evidence of prophage gene expression. Overall, pneumococcal prophages were highly prevalent, demonstrated a structured population, possessed genes associated with virulence, and were expressed under experimental conditions. Pneumococcal prophages are likely to play a more important role in pneumococcal biology and evolution than previously recognised.


Asunto(s)
Genoma Bacteriano , Profagos/genética , Streptococcus pneumoniae/genética , Secuencia de Bases , Análisis por Conglomerados , Lisogenia/genética , Filogenia , Profagos/clasificación , Profagos/fisiología , ARN Bacteriano/química , ARN Bacteriano/aislamiento & purificación , ARN Bacteriano/metabolismo , Alineación de Secuencia , Análisis de Secuencia de ADN , Factores de Virulencia/genética
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