Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system
Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system
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DOI：
10.7554/elife.45833
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发表时间：
2019-12-17
期刊：
影响因子：
7.7
通讯作者：
Kao, Rowland Raymond
中科院分区：
文献类型：
--
作者：
Crispell, Joseph;Benton, Clare H.;Kao, Rowland Raymond
如牛结核病（bTB）系统所示，在多宿主系统中定量病原体传播是困难的，但对于控制至关重要。bTB的病原体牛分枝杆菌（Mycobacterium bovis）持续存在于世界各地的牛群中，通常存在潜在的野生动物宿主。然而，不同宿主物种对bTB持久性的相对贡献通常是未知的。在英国，獾在牛感染持续性中的作用是非常有争议的，尽管几十年的研究和控制努力。我们将贝叶斯系统发育和机器学习方法应用于细菌基因组数据，以量化獾和牛在M。存在数据偏差时的牛感染动力学。我们的研究结果表明，从獾到牛的传播频率高于反之亦然（在最可能的模型中为10.4倍），并且种内传播的发生率高于种间传播。如果具有代表性，我们的研究结果表明，控制行动应针对牛和獾。
Quantifying pathogen transmission in multi-host systems is difficult, as exemplified in bovine tuberculosis (bTB) systems, but is crucial for control. The agent of bTB, Mycobacterium bovis, persists in cattle populations worldwide, often where potential wildlife reservoirs exist. However, the relative contribution of different host species to bTB persistence is generally unknown. In Britain, the role of badgers in infection persistence in cattle is highly contentious, despite decades of research and control efforts. We applied Bayesian phylogenetic and machine learning approaches to bacterial genome data to quantify the roles of badgers and cattle in M. bovis infection dynamics in the presence of data biases. Our results suggest that transmission occurs more frequently from badgers to cattle than vice versa (10.4x in the most likely model) and that within-species transmission occurs at higher rates than between-species transmission for both. If representative, our results suggest that control operations should target both cattle and badgers.