Disease Investigations, San Diego Zoo Wildlife Alliance, San Diego, California, United States of America.
Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, United States of America.
PLoS One. 2021 Jun 9;16(6):e0252152. doi: 10.1371/journal.pone.0252152. eCollection 2021.
This study combined a social network analysis and whole-genome sequencing (WGS) to test for general patterns of contagious spread of a mycobacterial infection for which pathways of disease acquisition are not well understood. Our population included 275 cases diagnosed with avian mycobacteriosis that were nested in a source population of 16,430 birds at San Diego Zoo Wildlife Alliance facilities from 1992 through mid-2014. Mycobacteria species were determined using conventional methods and whole genome sequencing (WGS). Mycobacterium avium avium (MAA) and Mycobacterium genavense were the most common species of mycobacteria identified and were present in different proportions across bird taxa. A social network for the birds was constructed from the source population to identify directly and indirectly connected cases during time periods relevant to disease transmission. Associations between network connectivity and genetic similarity of mycobacteria (as determined by clusters of genotypes separated by few single nucleotide polymorphisms, or SNPs) were then evaluated in observed and randomly generated network permutations. Findings showed that some genotypes clustered along pathways of bird connectivity, while others were dispersed throughout the network. The proportion of directly connected birds having a similar mycobacterial genotype was 0.36 and significant (p<0.05). This proportion was higher (0.58) and significant for MAA but not for M. genavense. Evaluations of SNP distributions also showed genotypes of MAA were more related in connected birds than expected by chance; however, no significant patterns of genetic relatedness were identified for M. genavense, although data were sparse. Integrating the WGS analysis of mycobacteria with a social network analysis of their host birds revealed significant genetic clustering along pathways of connectivity, namely for MAA. These findings are consistent with a contagious process occurring in some, but not all, case clusters.
本研究结合社会网络分析和全基因组测序(WGS),检测一种分枝杆菌感染的传染性传播的一般模式,而该感染的疾病获取途径尚未得到很好的理解。我们的研究人群包括 1992 年至 2014 年中期在圣地亚哥动物园野生动物联盟设施中嵌套在 16430 只鸟类源人群中的 275 例诊断为禽分枝杆菌病的病例。使用常规方法和全基因组测序(WGS)确定分枝杆菌物种。鉴定出的最常见分枝杆菌物种为鸟分枝杆菌(MAA)和日内瓦分枝杆菌(M. genavense),并且在不同的鸟类分类群中存在不同的比例。从源人群构建了鸟类的社会网络,以识别在与疾病传播相关的时间段内直接和间接相关的病例。然后,在观察到的和随机生成的网络排列中,评估了网络连通性与分枝杆菌遗传相似性(通过由少数单核苷酸多态性或 SNPs 分隔的基因型簇确定)之间的关联。结果表明,一些基因型沿着鸟类连通性的途径聚类,而其他基因型则分散在整个网络中。具有相似分枝杆菌基因型的直接连接鸟类的比例为 0.36,且具有统计学意义(p<0.05)。对于 MAA 而言,该比例更高(0.58)且具有统计学意义,但对于 M. genavense 则不然。对 SNP 分布的评估还表明,与随机预期相比,连接鸟类中的 MAA 基因型之间的遗传相关性更高;但是,对于 M. genavense,尽管数据稀疏,但没有发现明显的遗传相关性模式。将分枝杆菌的 WGS 分析与宿主鸟类的社会网络分析相结合,揭示了沿着连通途径存在显著的遗传聚类,即对于 MAA。这些发现与在某些而非所有病例聚类中发生传染性过程的情况一致。