Bowden Katherine E, Weigand Michael R, Peng Yanhui, Cassiday Pamela K, Sammons Scott, Knipe Kristen, Rowe Lori A, Loparev Vladimir, Sheth Mili, Weening Keeley, Tondella M Lucia, Williams Margaret M
Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Biotechnology Core Facility Branch, Division of Scientific Resources, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
mSphere. 2016 May 11;1(3). doi: 10.1128/mSphere.00036-16. eCollection 2016 May-Jun.
During 2010 and 2012, California and Vermont, respectively, experienced statewide epidemics of pertussis with differences seen in the demographic affected, case clinical presentation, and molecular epidemiology of the circulating strains. To overcome limitations of the current molecular typing methods for pertussis, we utilized whole-genome sequencing to gain a broader understanding of how current circulating strains are causing large epidemics. Through the use of combined next-generation sequencing technologies, this study compared de novo, single-contig genome assemblies from 31 out of 33 Bordetella pertussis isolates collected during two separate pertussis statewide epidemics and 2 resequenced vaccine strains. Final genome architecture assemblies were verified with whole-genome optical mapping. Sixteen distinct genome rearrangement profiles were observed in epidemic isolate genomes, all of which were distinct from the genome structures of the two resequenced vaccine strains. These rearrangements appear to be mediated by repetitive sequence elements, such as high-copy-number mobile genetic elements and rRNA operons. Additionally, novel and previously identified single nucleotide polymorphisms were detected in 10 virulence-related genes in the epidemic isolates. Whole-genome variation analysis identified state-specific variants, and coding regions bearing nonsynonymous mutations were classified into functional annotated orthologous groups. Comprehensive studies on whole genomes are needed to understand the resurgence of pertussis and develop novel tools to better characterize the molecular epidemiology of evolving B. pertussis populations. IMPORTANCE Pertussis, or whooping cough, is the most poorly controlled vaccine-preventable bacterial disease in the United States, which has experienced a resurgence for more than a decade. Once viewed as a monomorphic pathogen, B. pertussis strains circulating during epidemics exhibit diversity visible on a genome structural level, previously undetectable by traditional sequence analysis using short-read technologies. For the first time, we combine short- and long-read sequencing platforms with restriction optical mapping for single-contig, de novo assembly of 31 isolates to investigate two geographically and temporally independent U.S. pertussis epidemics. These complete genomes reshape our understanding of B. pertussis evolution and strengthen molecular epidemiology toward one day understanding the resurgence of pertussis.
在2010年和2012年期间,加利福尼亚州和佛蒙特州分别经历了全州范围的百日咳疫情,在受影响的人群、病例临床表现以及流行菌株的分子流行病学方面存在差异。为克服当前百日咳分子分型方法的局限性,我们利用全基因组测序来更全面地了解当前流行菌株是如何引发大规模疫情的。通过使用组合的新一代测序技术,本研究比较了在两次单独的全州范围百日咳疫情期间收集的33株百日咳博德特氏菌分离株中的31株以及2株重新测序的疫苗株的从头单重叠群基因组组装。最终的基因组结构组装通过全基因组光学图谱进行验证。在流行分离株基因组中观察到16种不同的基因组重排图谱,所有这些图谱均与两株重新测序的疫苗株的基因组结构不同。这些重排似乎是由重复序列元件介导的,例如高拷贝数的移动遗传元件和rRNA操纵子。此外,在流行分离株的10个毒力相关基因中检测到了新的和先前已鉴定的单核苷酸多态性。全基因组变异分析确定了州特异性变异,并且将携带非同义突变的编码区分类到功能注释的直系同源组中。需要对全基因组进行全面研究以了解百日咳的再次流行,并开发新工具以更好地表征不断演变的百日咳博德特氏菌群体的分子流行病学。重要性 百日咳,即百日咳,是美国控制最差的疫苗可预防细菌性疾病,在过去十多年里一直在复苏。百日咳博德特氏菌菌株曾被视为单形病原体,在疫情期间流行的菌株在基因组结构水平上表现出多样性,这是以前使用短读长技术进行传统序列分析无法检测到的。我们首次将短读长和长读长测序平台与限制性光学图谱相结合,对31株分离株进行单重叠群从头组装,以研究美国两次在地理和时间上独立的百日咳疫情。这些完整的基因组重塑了我们对百日咳博德特氏菌进化的理解,并加强了分子流行病学研究,以期有朝一日了解百日咳的再次流行。