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基因组可塑性和快速的宿主转换可以促进一般性的进化:以人畜共患病病原体弯曲杆菌为例。

Genomic plasticity and rapid host switching can promote the evolution of generalism: a case study in the zoonotic pathogen Campylobacter.

机构信息

Warwick Systems Biology Centre, Coventry House, University of Warwick, Coventry, CV47AL, UK.

School of Biological Sciences, University of Aberdeen, Cruickshank Building. St Machar Drive, Aberdeen, AB24 3UU, UK.

出版信息

Sci Rep. 2017 Aug 29;7(1):9650. doi: 10.1038/s41598-017-09483-9.

Abstract

Horizontal gene transfer accelerates bacterial adaptation to novel environments, allowing selection to act on genes that have evolved in multiple genetic backgrounds. This can lead to ecological specialization. However, little is known about how zoonotic bacteria maintain the ability to colonize multiple hosts whilst competing with specialists in the same niche. Here we develop a stochastic evolutionary model and show how genetic transfer of host segregating alleles, distributed as predicted for niche specifying genes, and the opportunity for host transition could interact to promote the emergence of host generalist lineages of the zoonotic bacterium Campylobacter. Using a modelling approach we show that increasing levels of homologous recombination enhance the efficiency with which selection can fix combinations of beneficial alleles, speeding adaptation. We then show how these predictions change in a multi-host system, with low levels of recombination, consistent with real r/m estimates, increasing the standing variation in the population, allowing a more effective response to changes in the selective landscape. Our analysis explains how observed gradients of host specialism and generalism can evolve in a multihost system through the transfer of ecologically important loci among coexisting strains.

摘要

水平基因转移加速了细菌对新环境的适应,使选择能够作用于在多种遗传背景下进化的基因。这可能导致生态特化。然而,对于人畜共患病细菌如何在与同一小生境中的专家竞争的同时保持定植于多种宿主的能力,我们知之甚少。在这里,我们开发了一个随机进化模型,并展示了宿主分离等位基因的遗传转移(如专门用于小生境的基因所预测的那样分布)以及宿主转变的机会如何相互作用,以促进人畜共患病细菌弯曲杆菌属的宿主泛化谱系的出现。通过建模方法,我们表明同源重组水平的增加增强了选择固定有利等位基因组合的效率,从而加速了适应。然后,我们展示了这些预测在多宿主系统中如何变化,在这种系统中,低水平的重组与实际 r/m 估计一致,增加了种群中的固定变异,从而可以更有效地应对选择景观的变化。我们的分析解释了在多宿主系统中,通过共存菌株之间具有生态重要性的基因座的转移,如何进化出宿主特化和泛化的梯度。

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