Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada.
J Clin Microbiol. 2021 Jun 18;59(7):e0004421. doi: 10.1128/JCM.00044-21.
Mycoplasma bovis is a significant pathogen of feedlot cattle, responsible for chronic pneumonia and polyarthritis syndrome (CPPS). M. bovis isolates (= 129) were used to compare four methods of phylogenetic analysis and to determine if the isolates' genotypes were associated with phenotypes. Metadata included the health status of the animal from which an isolate was derived (healthy, diseased, or dead), anatomical location (nasopharynx, lung, or joint), feedlot, and production year (2006 to 2018). Four phylogenetic typing methods were used: multilocus sequence typing (MLST), core genome MLST (cgMLST), core genome single nucleotide variant (cgSNV) analysis, and whole-genome SNV (wgSNV) analysis. Using Simpson's diversity index () as a proxy for resolution, MLST had the lowest resolution ( = 0.932); cgSNV ( = 0.984) and cgMLST ( = 0.987) generated comparable results; and wgSNV ( = 1.000) provided the highest resolution. Visual inspection of the minimum spanning trees found that the memberships of the clonal complexes and clades had similar structural appearances. Although MLST had the lowest resolution, this methodology was intuitive and easy to apply, and the PubMLST database facilitates the comparison of sequence types across studies. The cg methods had higher resolution than MLST, and the graphical interface software was user-friendly for nonbioinformaticians, but the proprietary software is relatively expensive. The wgSNV approach was the most robust for processing poor-quality sequence data while offering the highest resolution; however, application of its software requires specialized training. None of the four methods could associate genotypes with phenotypes.
牛支原体是饲养牛群的重要病原体,可导致慢性肺炎和多发性关节炎综合征(CPPS)。使用 129 株牛支原体分离株比较了 4 种系统发育分析方法,并确定分离株的基因型是否与表型相关。元数据包括分离株来源动物的健康状况(健康、患病或死亡)、解剖部位(鼻咽部、肺部或关节)、饲养场和生产年份(2006 年至 2018 年)。使用了 4 种系统发育分型方法:多位点序列分型(MLST)、核心基因组 MLST(cgMLST)、核心基因组单核苷酸变异(cgSNV)分析和全基因组单核苷酸变异(wgSNV)分析。使用 Simpson 多样性指数()作为分辨率的替代指标,MLST 的分辨率最低(=0.932);cgSNV(=0.984)和 cgMLST(=0.987)产生相似的结果;而 wgSNV(=1.000)提供了最高的分辨率。对最小生成树的直观检查发现,克隆复合体和进化枝的成员具有相似的结构外观。尽管 MLST 的分辨率最低,但该方法直观且易于应用,并且 PubMLST 数据库有助于比较不同研究中的序列类型。cg 方法比 MLST 具有更高的分辨率,并且图形界面软件对非生物信息学家来说用户友好,但专有软件相对昂贵。尽管 wgSNV 方法在处理低质量序列数据方面最为稳健,并且分辨率最高,但它的软件应用需要专门的培训。这 4 种方法均无法将基因型与表型相关联。