Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary.
Veterinary Medical Research Institute, Hungarian Research Network, Hungária körút 21, Budapest 1143, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, Budapest, Hungary.
Vet Microbiol. 2023 Dec;287:109909. doi: 10.1016/j.vetmic.2023.109909. Epub 2023 Nov 3.
Mycoplasma iowae is a worldwide spread and economically important avian pathogen that mostly infects turkeys. Currently, multi-locus sequence typing (MLST) serves as the gold standard method for strain identification in M. iowae. However, additional robust genotyping methods are required to effectively monitor M. iowae infections and conduct epidemiological investigations. The first aim of this study was to develop genotyping assays with high resolution, that specifically target M. iowae, namely a multiple-locus variable number of tandem-repeats analysis (MLVA) and a core genome multi-locus sequence typing (cgMLST) schema. The second aim was the determination of relationships among a diverse selection of M. iowae strains and clinical isolates with a previous and the newly developed assays. The MLVA was designed based on the analyses of tandem-repeat (TR) regions in the six serotype reference strains (I, J, K, N, Q and R). The cgMLST schema was developed based on the coding sequences (CDSs) common in 95% of the examined 99 isolates. The samples were submitted for a previously published MLST assay for comparison with the developed methods. Out of 94 TR regions identified, 17 alleles were selected for further evaluation by PCR. Finally, seven alleles were chosen to establish the MLVA assay. Additionally, whole genome sequence analyses identified a total of 676 CDSs shared by 95% of the isolates, all of which were included into the developed cgMLST schema. The MLVA discriminated 19 distinct genotypes (GT), while with the cgMLST assay 79 sequence types (ST) could be determined with Simpson's diversity indices of 0.810 (MLVA) and 0.989 (cgMLST). The applied assays consistently identified the same main clusters among the diverse selection of isolates, thereby demonstrating their suitability for various genetic analyses and their ability to yield congruent results.
鸡败血支原体是一种分布广泛且具有重要经济意义的禽病原体,主要感染火鸡。目前,多位点序列分型(MLST)是鸡败血支原体菌株鉴定的金标准方法。然而,需要额外的稳健基因分型方法来有效监测鸡败血支原体感染并进行流行病学调查。本研究的首要目标是开发具有高分辨率的基因分型检测方法,专门针对鸡败血支原体,即多位点可变数目串联重复分析(MLVA)和核心基因组多位点序列分型(cgMLST)方案。第二个目标是利用先前和新开发的检测方法来确定多种鸡败血支原体菌株和临床分离株之间的关系。MLVA 是基于对 6 个血清型参考菌株(I、J、K、N、Q 和 R)串联重复(TR)区域的分析而设计的。cgMLST 方案是基于 99 个受检菌株中 95%共同的编码序列(CDS)而开发的。将这些样本提交给先前发表的 MLST 检测方法进行比较。在鉴定的 94 个 TR 区域中,选择了 17 个等位基因进行进一步的 PCR 评估。最终,选择了 7 个等位基因来建立 MLVA 检测方法。此外,全基因组序列分析确定了 95%的分离株共有的 676 个 CDS,所有这些 CDS 都被纳入了开发的 cgMLST 方案。MLVA 可区分 19 种不同的基因型(GT),而 cgMLST 检测方法可确定 79 种序列类型(ST),其 Simpson 多样性指数分别为 0.810(MLVA)和 0.989(cgMLST)。应用的检测方法一致地在各种分离株中识别出相同的主要聚类,从而证明了它们适合各种遗传分析,并能够产生一致的结果。