Dataset Information

SNP-based typing: a useful tool to study Bordetella pertussis populations.

ABSTRACT: To monitor changes in Bordetella pertussis populations, mainly two typing methods are used; Pulsed-Field Gel Electrophoresis (PFGE) and Multiple-Locus Variable-Number Tandem Repeat Analysis (MLVA). In this study, a single nucleotide polymorphism (SNP) typing method, based on 87 SNPs, was developed and compared with PFGE and MLVA. The discriminatory indices of SNP typing, PFGE and MLVA were found to be 0.85, 0.95 and 0.83, respectively. Phylogenetic analysis, using SNP typing as Gold Standard, revealed false homoplasies in the PFGE and MLVA trees. Further, in contrast to the SNP-based tree, the PFGE- and MLVA-based trees did not reveal a positive correlation between root-to-tip distance and the isolation year of strains. Thus PFGE and MLVA do not allow an estimation of the relative age of the selected strains. In conclusion, SNP typing was found to be phylogenetically more informative than PFGE and more discriminative than MLVA. Further, in contrast to PFGE, it is readily standardized allowing interlaboratory comparisons. We applied SNP typing to study strains with a novel allele for the pertussis toxin promoter, ptxP3, which have a worldwide distribution and which have replaced the resident ptxP1 strains in the last 20 years. Previously, we showed that ptxP3 strains showed increased pertussis toxin expression and that their emergence was associated with increased notification in The Netherlands. SNP typing showed that the ptxP3 strains isolated in the Americas, Asia, Australia and Europe formed a monophyletic branch which recently diverged from ptxP1 strains. Two predominant ptxP3 SNP types were identified which spread worldwide. The widespread use of SNP typing will enhance our understanding of the evolution and global epidemiology of B. pertussis.

SUBMITTER: van Gent M

PROVIDER: S-EPMC3103551 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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SNP-based typing: a useful tool to study Bordetella pertussis populations.

van Gent Marjolein M Bart Marieke J MJ van der Heide Han G J HG Heuvelman Kees J KJ Kallonen Teemu T He Qiushui Q Mertsola Jussi J Advani Abdolreza A Hallander Hans O HO Janssens Koen K Hermans Peter W PW Mooi Frits R FR

PloS one 20110527 5

To monitor changes in Bordetella pertussis populations, mainly two typing methods are used; Pulsed-Field Gel Electrophoresis (PFGE) and Multiple-Locus Variable-Number Tandem Repeat Analysis (MLVA). In this study, a single nucleotide polymorphism (SNP) typing method, based on 87 SNPs, was developed and compared with PFGE and MLVA. The discriminatory indices of SNP typing, PFGE and MLVA were found to be 0.85, 0.95 and 0.83, respectively. Phylogenetic analysis, using SNP typing as Gold Standard, re ...[more]

PMID: 21647370

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Project description:Purpose: Within the past 20 years, outbreaks of whooping cough, caused by Bordetella pertussis, have led to respiratory disease and infant mortalities, despite good vaccination coverage. This is due at least in part to the introduction of a less effective acellular vaccine in the 1990’s. It is crucial then to understand the molecular basis of B. pertussis growth and infection. The two-component system BvgA/BvgS is the B. pertussis master regulator that regulates the expression of various virulence genes. Previous genome wide studies to identify the bvgAS regulon in B. pertussis have been limited to microarray analyses. The goal of this study is to define the bvgAS regulon using NGS based RNA-seq analysis and RT-qPCR and to compare the differences with the previous microarray data. Method: To define the bvgAS regulon, transcriptomes were generated using B. pertussis Tohama I BP536 (WT) and a ΔbvgAS derivative in the presence and absence of phosphorylated BvgA. Bacteria were grown either under modulating (50 mM MgSO4) conditions, in which phosphorylated BvgA is undetectable (Bvg- mode), or non-modulating (no MgSO4) conditions in which BvgA is phosphorylated (Bvg+ mode). After total RNA extraction and rRNA removal, strand-specific DNA libraries were prepared for Illumina sequencing using the ScriptSeq 2.0 kit (Illumina) in duplicates. Libraries were sequenced using a HiSeq 2000 sequencer (Illumina; University of Buffalo Next Generation Sequencing Core Facility). Sequence reads were mapped to the reference genome (NC_002929.2) and normalized against total reads. Differential expression analyses were performed using CLC Biomedical Genomic Workbench version 3.5.4 with default parameters. Differential gene expression profiles were obtained after Empirical DGE statistical test with FDR p-value. RT–qPCR validation was performed using SYBR Green assays. Result: Using CLC Biomedical Genomic Workbench version 3.5.4, ~ 20-25 million reads per sample were mapped to the reference B. pertussis genome (NC_002929.2). RNA-seq analyses identified >550 genes (15% of genome) that were regulated in a bvgAS-dependent manner with a fold difference ≥ 1.6 and FDR p-value < 0.05. RT-qPCR was used for confirmatory analyses for 80 genes. Overall, we identified 245 genes that were positively regulated and 326 genes that were negatively regulated by bvgAS. 362 members of the bvgAS regulon were newly identified by our study. Most importantly, our analyses indicated that the expression of dozens of transcriptional regulators increases, while the expression of multiple metabolic genes decreases in the presence of BvgA~P. Conclusion: We report here the first RNA-seq analysis of the bvgAS regulon in B. pertussis, revealing that > 550 genes are regulated by bvgAS. Our results suggest that metabolic changes in the Bvg- mode (absence of BvgA phosphorylation) may be participating in bacterial survival, transmission, and/or persistence and identify over 200 new genes negatively regulated by bvgAS that can be tested for function.

Dataset Information

SNP-based typing: a useful tool to study Bordetella pertussis populations.

Publications

SNP-based typing: a useful tool to study Bordetella pertussis populations.

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