Revez Joana, Zhang Ji, Schott Thomas, Kivistö Rauni, Rossi Mirko, Hänninen Marja-Liisa
Department of Food Hygiene and Environmental Health, Helsinki University, Helsinki, Finland.
Department of Food Hygiene and Environmental Health, Helsinki University, Helsinki, Finland Biology Oceanography, Leibniz Institute for Baltic Sea Research, Rostock-Warnemünde, Germany.
J Clin Microbiol. 2014 Aug;52(8):2782-6. doi: 10.1128/JCM.00931-14. Epub 2014 May 21.
Bacterial genome sequencing has led to the development of new approaches for the analysis of food-borne epidemics and the exploration of the relatedness of outbreak-associated isolates and their separation from nonassociated isolates. Using Illumina technology, we sequenced a total of six isolates (two from patients, two from raw bulk milk, and two from dairy cattle) associated with a milk-borne Campylobacter jejuni outbreak in a farming family and compared their genomes. These isolates had identical pulsed-field gel electrophoresis (PFGE) types, and their multilocus sequence typing (MLST) type was ST-50. We used the Ma_1 isolate (milk) as the reference, and its genome was assembled and tentatively ordered using the C. jejuni NCTC 11168 genome as the scaffold. Using whole-genome MLST (wgMLST), we identified a total of three single-nucleotide polymorphisms (SNPs) and differences in poly(G or C) or poly(A or T) tracts in 12 loci among the isolates. Several new alleles not present in the database were detected. In contrast, the sequences of the unassociated C. jejuni strains P14 and 1-12S (both ST-50) differed by 420 to 454 alleles from the epidemic-associated isolates. We found that the fecal contamination of bulk tank milk occurred by highly related sequence variants of C. jejuni, which are reflected as SNPs and differences in the length of the poly(A or T) tracts. Poly(G or C) tracts are reversibly variable and are thus unstable markers for comparison. Further, unrelated strains of ST-50 were clearly separated from the outbreak-associated isolates, indicating that wgMLST is an excellent tool for analysis. In addition, other useful data related to the genes and genetic systems of the isolates were obtained.
细菌基因组测序已促使人们开发出新方法,用于分析食源性疫情以及探究与疫情相关的分离株之间的关联性,并将其与非相关分离株区分开来。我们使用Illumina技术,对与一个养殖家庭中一起由牛奶传播的空肠弯曲菌疫情相关的总共六个分离株(两个来自患者,两个来自散装生牛奶,两个来自奶牛)进行了测序,并比较了它们的基因组。这些分离株具有相同的脉冲场凝胶电泳(PFGE)类型,其多位点序列分型(MLST)类型为ST-50。我们以Ma_1分离株(牛奶)作为参考,以空肠弯曲菌NCTC 11168基因组为支架对其基因组进行了组装和初步排序。使用全基因组MLST(wgMLST),我们在这些分离株中总共鉴定出三个单核苷酸多态性(SNP)以及12个位点上聚(G或C)或聚(A或T)序列的差异。检测到数据库中不存在的几个新等位基因。相比之下,非相关的空肠弯曲菌菌株P14和1-12S(均为ST-50)的序列与疫情相关分离株相比,有420至454个等位基因不同。我们发现,散装罐牛奶的粪便污染是由空肠弯曲菌高度相关的序列变体引起的,这些变体表现为SNP以及聚(A或T)序列长度的差异。聚(G或C)序列是可逆可变的,因此是不稳定的比较标记。此外,ST-50的非相关菌株与疫情相关分离株明显区分开来,这表明wgMLST是一种出色的分析工具。此外,还获得了与这些分离株的基因和遗传系统相关的其他有用数据。