Development of an Online Tool for Pasteurella multocida Genotyping and Genotypes of Pasteurella multocida From Different Hosts.
Development of an Online Tool for Pasteurella multocida Genotyping and Genotypes of Pasteurella multocida From Different Hosts.
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DOI：
10.3389/fvets.2021.771157
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发表时间：
2021
影响因子：
3.2
通讯作者：
Wu B
中科院分区：
文献类型：
--
作者：
Peng Z;Liu J;Liang W;Wang F;Wang L;Wang X;Hua L;Chen H;Wilson BA;Wang J;Wu B
多杀性巴氏杆菌是一种多用途的人畜共患病原体。多种系统已应用于来自不同宿主的不同疾病的多杀假单胞菌。最近，我们发现结合荚膜、脂多糖和MLST基因型（标记为荚膜：脂多糖：MLST基因型）来分配多杀假单胞菌菌株可以帮助解决多杀假单胞菌在不同宿主中循环的生物学特性。然而，目前仍缺乏一种快速有效的多杀假单胞菌诊断工具。本研究利用web 2.0技术开发了多杀p.a multicida菌株全基因组序列智能基因分型平台PmGT。利用PmGT技术，基于NCBI上公布的多杀假单胞菌的全基因组序列，确定了不同寄主菌株的荚膜基因型、LPS基因型、MLST基因型以及主要毒力因子基因（vfg）。结果显示基因型与巴氏杆菌病之间的关系比基因型与宿主物种之间的关系更密切。随着高质量、廉价的DNA测序技术的出现，PmGT在流行病学研究和临床环境中都是一种更有效的多杀假单胞菌诊断工具。
Pasteurella multocida is a versatile zoonotic pathogen. Multiple systems have been applied to type P. multocida from different diseases in different hosts. Recently, we found that assigning P. multocida strains by combining their capsular, lipopolysaccharide, and MLST genotypes (marked as capsular: lipopolysaccharide: MLST genotype) could help address the biological characteristics of P. multocida circulation in different hosts. However, there is still lack of a rapid and efficient tool to diagnose P. multocida according to this system. Here, we developed an intelligent genotyping platform PmGT for P. multocida strains according to their whole genome sequences using the web 2.0 technologies. By using PmGT, we determined capsular genotypes, LPS genotypes, and MLST genotypes as well as the main virulence factor genes (VFGs) of P. multocida isolates from different host species based on their whole genome sequences published on NCBI. The results revealed a closer association between the genotypes and pasteurellosis rather than between genotypes and host species. With the advent of high-quality, inexpensive DNA sequencing, PmGT represents a more efficient tool for P. multocida diagnosis in both epidemiological studies and clinical settings.
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影响因子：
5.7
作者：
Lecuit M;Eloit M
通讯作者：
Eloit M
影响因子：
168.9
作者：
Godey, B;Morandi, X;Heurtin, C
通讯作者：
Heurtin, C
DOI：
10.13343/j.cnki.wsxb.20160002
发表时间：
2016-10-01
期刊：
Weishengwu Xuebao
影响因子：
--
作者：
Peng, Zhong;Liang, Wan;Wu, Bin
通讯作者：
Wu, Bin
影响因子：
3.3
作者：
Davies, RL;MacCorquodale, R;Reilly, S
通讯作者：
Reilly, S
影响因子：
3.3
作者：
Garcia-Alvarez, Andres;Isabel Vela, Ana;Cid, Dolores
通讯作者：
Cid, Dolores