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Jamrozy, D.

Publications and source records attributed to Jamrozy, D..

4 recordsLinked to original sources

Revisiting typing systems for group B Streptococcus (GBS) prophages: an application in prophage detection and classification in GBS isolates from Argentina

Group B Streptococcus (GBS) causes severe infections in neonates and adults with comorbidities. Prophages have been reported to contribute to GBS evolution and pathogenicity. However, no studies are available to date on the presence and diversity of prophages in GBS isolates from humans in South America. This study provides insights into the prophage content of 365 GBS isolates collected from clinical samples in the context of an Argentinean multicentric study. Using whole genome sequence data, we implemented two previously proposed methods for prophage typing: a PCR approach (carried out in silico) coupled with a blastx-based method to classify prophages based on their prophage group and integrase type, respectively. We manually searched the genomes and identified 325 prophages. However, only 80% of prophages could be accurately categorised with the previous approaches. Integration of phylogenetic analysis, prophage group and integrase type allowed for all to be classified into 19 prophage types, which correlated with GBS clonal complex grouping. The revised prophage typing approach was additionally improved by using a blastn search after enriching the database with 10 new genes for prophage group classification combined with the existing integrase typing method. This modified and integrated typing system was applied to the analysis of 615 GBS genomes (365 GBS from Argentina and 250 from public databases), which revealed 29 prophage types, including 2 novel integrase subtypes. Their characterization and comparative analysis revealed major differences in the lysogeny and replication modules. Genes related to bacterial fitness, virulence or adaptation to stressful environments were detected in all prophage types. Considering prophage prevalence, distribution and their association with bacterial virulence, it is important to study their role in GBS epidemiology. In this context, we propose the use of an improved and integrated prophage typing system suitable for rapid phage detection and classification with little computational processing. Author summaryBacteriophages, which are viruses that infect bacteria, exert a profound influence on microbial evolution when integrated into the bacterial genome, a state in which they are called prophages. It has been proposed that prophage acquisition played a role in the emergence of Streptococcus agalactiae (GBS) as a human pathogen in European countries. Further study and characterization of prophages of GBS from around the world would provide valuable insights into the mechanisms underlying GBS adaptation, evolution and epidemiology. Unfortunately, existing tools for prophage screening exhibit limitations in the detection and classification of all prophages present in GBS genomes. To address this issue, in this work we propose a new prophage typing system that allows the detection and classification of GBS prophages based on both their phylogenetic lineage and integration site within the bacterial genome. Using this methodology we were able to identify 29 prophage types in 615 GBS isolated globally. We further characterised these prophages and found that they carried genes that could give an evolutionary advantage to their host and that different lineages of GBS carried different prophage types. Comprehensive exploration and characterization of prophages represent an indispensable endeavour, providing critical insights into microbial evolution, epidemiology, and potential therapeutic interventions.

bioinformatics↗

The mutational landscape of Staphylococcus aureus during colonisation

Staphylococcus aureus is an important human pathogen but is primarily a commensal of the human nose and skin. Survival during colonisation is likely one of the major drivers of S. aureus evolution. Here we use a genome-wide mutation enrichment approach to analyse a genomic dataset of 3,060 S. aureus isolates from 791 individuals to show that despite limited within-host genetic diversity, an excess of protein-altering mutations can be found in genes encoding key metabolic pathways, in regulators of quorum-sensing and in known antibiotic targets. Nitrogen metabolism and riboflavin synthesis are the metabolic processes with strongest evidence of adaptation. Further evidence of adaptation to nitrogen availability was revealed by enrichment of mutations in the assimilatory nitrite reductase and urease, including mutations that enhance growth with urea as the sole nitrogen source. Inclusion of an additional 4,090 genomes from 802 individuals revealed eight additional genes including sasA/sraP, pstA, and rsbU with signals adaptive variation that warrant further characterisation. Our study provides the most comprehensive picture to date of the heterogeneity of adaptive changes that occur in the genomes of S. aureus during colonisation, revealing the likely importance of nitrogen metabolism, loss of quorum sensing and antibiotic resistance for successful human colonisation.

genomics↗

Three Accessory Gene Clusters Drive Host-Adaptation in Group B Streptococcus

Streptococcus agalactiae (Group B Streptococcus, GBS) is a major pathogen of humans and animals, posing a threat to human health as well as food security. Here, we investigate the role of genomic mechanisms, including homologous recombination and horizontal gene transfer, in shaping the population structure of GBS and its adaptation to three major host groups (humans, cattle, fishes). We demonstrate that the GBS population comprises host-specialist, host-adapted lineages as well as host generalists, and that these categories differ in their level or recombination. Although the accessory genome at large varies by lineage rather than host, genome wide association studies show that host association is driven by three accessory genome clusters, regardless of lineage or breadth of the host spectrum. These genomic clusters (scpB in human GBS, lactose operon in bovine GBS, Locus 3 in fish GBS) are known (scpB, Lac.2) or shown here (Locus 3) to be functionally relevant and are shared with other streptococcal species occupying the same host niche. These findings demonstrate the importance of considering the role of non-human host species in the evolution of GBS, including high risk clones that may lead to interspecies transmission and affect efficacy of future GBS vaccines.

genomics↗

Temporal population structure of invasive Group B Streptococcus during a period of rising disease incidence shows expansion of a CC17 clone

Group B Streptococcus (GBS) is a major cause of neonatal invasive disease worldwide. In the Netherlands, the incidence of the disease increased, despite the introduction of prevention guidelines in 1999. This was accompanied by changes in pathogen genotype distribution, with a significant increase in the prevalence of isolates belonging to clonal complex (CC) 17. To better understand the mechanisms of temporal changes in the epidemiology of GBS genotypes that correlated with the rise in disease incidence, we applied whole genome sequencing (WGS) to study a national collection of invasive GBS isolates. A total of 1345 isolates from patients aged 0 - 89 days and collected between 1987 and 2016 in the Netherlands were sequenced and characterised. The GBS population contained 5 major lineages representing CC17 (39%), CC19 (25%), CC23 (18%), CC10 (9%), and CC1 (7%). There was a significant rise in the prevalence of isolates representing CC17 and CC23 among cases of early-and late-onset disease, due to expansion of discrete sub-lineages. The most prominent was shown by a CC17 sub-lineage, identified here as CC17-1A, which experienced a major clonal expansion at the end of the 1990s. The CC17-1A expansion correlated with the emergence of a novel phage carrying a gene encoding a putative adhesion protein, named here StrP. The first occurrence of this phage (designated phiStag1) within the collection in 1997, was followed by multiple, independent acquisitions by CC17 and parallel clonal expansions of CC17-1A and another cluster, CC17-1B. The CC17-1A clone was identified in external datasets, and represents a globally distributed invasive sub-lineage of CC17. Our work describes how a sudden change in the epidemiology of specific GBS sub-lineages, in particular CC17-1A, correlates with the rise in the disease incidence, and indicates a putative key role of a novel phage in driving the expansion of this CC17 clone.\n\nAuthor summaryGroup B Streptococcus (GBS) is a commensal organism of the gastrointestinal and genitourinary tracts. However, it is also an opportunistic pathogen and a major cause of neonatal invasive disease, which can be classified into early-onset (0 - 6 days of life) or late-onset (7 - 89 days of life). Current disease prevention strategy involves intrapartum antibiotic prophylaxis (IAP), which aims to prevent the transmission of GBS from mother to baby during labour. Many developed countries adapted national IAP guidelines. In the Netherlands, these were introduced in 1999. However, the incidence of GBS disease increased after IAP introduction. In this study we applied whole genome sequencing to characterise a nationwide collection of invasive GBS from cases of neonatal disease that occurred between 1987 and 2016. Analysis of GBS population structure involving phylogenetic partitioning of individual lineages revealed that the rise in disease incidence involved the expansion of specific clusters from two major GBS lineages, CC17 and CC23. Our study provides new insights into the recent evolution of the hypervirulent CC17 and describes a rapid expansion of a discrete, pre-existing sub-lineage that occurred after acquisition of a novel phage carrying a putative adhesion protein gene, underscoring the major role of CC17 in neonatal diseases.

genomics↗