Bian Shengzhe, Jia Yangyang, Zhan Qiuyao, Wong Nai-Kei, Hu Qinghua, Zhang Wenwei, Zhang Yongwei, Li Liqiang
BGI-Shenzhen, Shenzhen, China.
BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
Front Microbiol. 2021 Sep 2;12:620224. doi: 10.3389/fmicb.2021.620224. eCollection 2021.
has emerged as a significant enteropathogen in human and marine habitats worldwide, notably in regions where aquaculture products constitute a major nutritional source. It is a growing cause of diseases including gastroenteritis, wound infections, and septicemia. Serotyping assays use commercially available antisera to identify strains, but this approach is limited by high costs, complicated procedures, cross-immunoreactivity, and often subjective interpretation. By leveraging high-throughput sequencing technologies, we developed an method based on comparison of gene clusters for lipopolysaccharide (LPSgc) and capsular polysaccharide (CPSgc) by firstly using the unique-gene strategy. The algorithm, VPsero, which exploits serogroup-specific genes as markers, covers 43 K and all 12 O serogroups in serotyping assays. VPsero is capable of predicting serotypes from assembled draft genomes, outputting LPSgc/CPSgc sequences, and recognizing possible novel serogroups or populations. Our tool displays high specificity and sensitivity in prediction toward strains, with an average sensitivity in serogroup prediction of 0.910 for O and 0.961 for K serogroups and a corresponding average specificity of 0.990 for O and 0.998 for K serogroups.
在全球人类和海洋栖息地中已成为一种重要的肠道病原体,特别是在水产养殖产品构成主要营养来源的地区。它是包括肠胃炎、伤口感染和败血症在内的疾病的一个日益常见的病因。血清分型检测使用市售抗血清来鉴定菌株,但这种方法受到高成本、复杂程序、交叉免疫反应性以及往往主观的解释的限制。通过利用高通量测序技术,我们首先采用独特基因策略,开发了一种基于脂多糖基因簇(LPSgc)和荚膜多糖基因簇(CPSgc)比较的方法。该算法VPsero利用血清群特异性基因作为标记,在血清分型检测中涵盖了43个K血清群和所有12个O血清群。VPsero能够从组装的草图基因组预测血清型,输出LPSgc/CPSgc序列,并识别可能的新血清群或群体。我们的工具在对菌株的预测中显示出高特异性和敏感性,O血清群的血清群预测平均敏感性为0.910,K血清群为0.961,相应的O血清群平均特异性为0.990,K血清群为0.998。