单型细菌是如何进化的?结核分枝杆菌复合体和极端克隆性的尴尬群体遗传学

Christoph Stritt, Sebastien Gagneux
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引用次数: 0

摘要

通过有性生殖或水平基因转移交换遗传物质在自然界中无处不在。在少数很少重组并主要通过从头突变进化的异常中,有一组致命的细菌性病原体,包括麻风病、鼠疫、伤寒和结核病的病原体。在这些生物中,人们对进化过程的相互作用知之甚少。允许推断突变、重组、遗传漂变和自然选择的群体遗传方法做出了强有力的假设,这些假设很难与克隆繁殖和主要由编码区组成的全连锁基因组相协调。在这篇综述中,我们通过讨论与结核分枝杆菌复合体(一组密切相关的哺乳动物专性细菌病原体)的群体遗传推断来强调极端克隆性的挑战。我们展示了定量模型和口头争论的不确定性如何影响先前关于这些生物进化方式的结论。在大量的应用和理论兴趣背后仍然存在一个问号,包括突变率,非同义多态性的解释,或遗传瓶颈的作用。展望未来,我们讨论了进化模拟的新工具如何超越传统的Wright-Fisher框架,承诺对克隆细菌的基本进化过程进行更严格的处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How do monomorphic bacteria evolve? The Mycobacterium tuberculosis complex and the awkward population genetics of extreme clonality
Exchange of genetic material through sexual reproduction or horizontal gene transfer is ubiquitous in nature. Among the few outliers that rarely recombine and mainly evolve by de novo mutation are a group of deadly bacterial pathogens, including the causative agents of leprosy, plague, typhoid, and tuberculosis. The interplay of evolutionary processes is poorly understood in these organisms. Population genetic methods allowing to infer mutation, recombination, genetic drift, and natural selection make strong assumptions that are difficult to reconcile with clonal reproduction and fully linked genomes consisting mainly of coding regions. In this review, we highlight the challenges of extreme clonality by discussing population genetic inference with the Mycobacterium tuberculosis complex, a group of closely related obligate bacterial pathogens of mammals. We show how uncertainties underlying quantitative models and verbal arguments affect previous conclusions about the way these organisms evolve. A question mark remains behind various quantities of applied and theoretical interest, including mutation rates, the interpretation of nonsynonymous polymorphisms, or the role of genetic bottlenecks. Looking ahead, we discuss how new tools for evolutionary simulations, going beyond the traditional Wright-Fisher framework, promise a more rigorous treatment of basic evolutionary processes in clonal bacteria.
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