Mutation rate dynamics reflect ecological change in an emerging zoonotic pathogen.
Mutation rate dynamics reflect ecological change in an emerging zoonotic pathogen.
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DOI：
10.1371/journal.pgen.1009864
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发表时间：
2021-11
期刊：
影响因子：
4.5
通讯作者：
Weinert LA
中科院分区：
文献类型：
--
作者：
Murray GGR;Balmer AJ;Herbert J;Hadjirin NF;Kemp CL;Matuszewska M;Bruchmann S;Hossain ASMM;Gottschalk M;Tucker AW;Miller E;Weinert LA
突变率在细菌物种内部和之间都有差异，了解是什么驱动了这种变异对于理解细菌种群的进化动力学至关重要。在这项研究中，我们调查了两个因素，预测影响突变率：生态和基因组大小。我们对8株人畜共患病病原猪链球菌进行了突变积累实验。该物种内的自然变异使我们能够比较扁桃体携带和侵袭性疾病分离株，来自致病性更高和致病性更低的人群，具有广泛的基因组大小。我们发现，侵袭性疾病分离株反复进化的突变率高于密切相关的携带分离株，无论基因组大小的变化。独立于这种变化的总体率，我们还观察到一个更强的偏见G/C到A/T突变的分离株致病性更强的人群，其基因组往往更小，更AT-丰富。我们的研究结果表明，在这些时间尺度上，生态学与突变率的相关性比基因组大小更强，并且向侵袭性疾病的转变始终伴随着突变率的快速增加。这些结果揭示了生态学对细菌病原体适应潜力的影响。突变是所有遗传变异的最终来源，细菌物种内部和之间的突变率差异很大。了解这种变化的驱动因素很重要，因为它影响细菌应对挑战的能力。它对细菌病原体特别重要，因为它影响它们对宿主免疫反应和抗生素治疗的反应。我们的研究调查了突变率如何在一个细菌物种内变化，该细菌物种具有可变的基因组大小和与宿主的可变生态关系。虽然物种间比较发现基因组较小的细菌物种往往具有更快的突变率，但我们的物种内比较显示没有证据表明突变率与基因组大小之间存在联系。相反，我们发现参与侵入性感染的菌株比那些无症状地被宿主携带的菌株具有更快的突变率。这表明，不同的因素影响突变率的变化在不同的时间尺度，短期的变化是敏感的生态过渡。这有助于我们理解病原体的适应潜力，以及细菌必须克服的障碍才能在宿主中引起疾病。
Mutation rates vary both within and between bacterial species, and understanding what drives this variation is essential for understanding the evolutionary dynamics of bacterial populations. In this study, we investigate two factors that are predicted to influence the mutation rate: ecology and genome size. We conducted mutation accumulation experiments on eight strains of the emerging zoonotic pathogen Streptococcus suis. Natural variation within this species allows us to compare tonsil carriage and invasive disease isolates, from both more and less pathogenic populations, with a wide range of genome sizes. We find that invasive disease isolates have repeatedly evolved mutation rates that are higher than those of closely related carriage isolates, regardless of variation in genome size. Independent of this variation in overall rate, we also observe a stronger bias towards G/C to A/T mutations in isolates from more pathogenic populations, whose genomes tend to be smaller and more AT-rich. Our results suggest that ecology is a stronger correlate of mutation rate than genome size over these timescales, and that transitions to invasive disease are consistently accompanied by rapid increases in mutation rate. These results shed light on the impact that ecology can have on the adaptive potential of bacterial pathogens. Mutations are the ultimate source of all genetic variation and mutation rates vary considerably both within and between bacterial species. Understanding the drivers of this variation is important as it influences the capacity of bacteria to respond to challenges. It is particularly important for bacterial pathogens as it impacts how they respond to host immune responses and antibiotic treatments. Our study investigates how mutation rates vary within a bacterial species that has both a variable genome size and a variable ecological relationship with its host. While inter-species comparisons have found that bacterial species with smaller genomes tend to have faster mutation rates, our within-species comparisons show no evidence of a link between mutation rate and genome size. Instead, we find that strains that were involved in invasive infections have faster mutation rates than those carried asymptomatically by a host. This suggests that different factors influence mutation rate variation over different timescales, and that short-term changes are sensitive to ecological transitions. This contributes to our understanding of both the adaptive potential of pathogens, and the obstacles that bacteria have to overcome to cause disease in their host.
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影响因子：
48
作者：
Langmead, Ben;Salzberg, Steven L.
通讯作者：
Salzberg, Steven L.
Islandviewer 4：扩展了大规模数据集基因组岛的预测。
影响因子：
14.9
作者：
Bertelli C;Laird MR;Williams KP;Simon Fraser University Research Computing Group;Lau BY;Hoad G;Winsor GL;Brinkman FSL
通讯作者：
Brinkman FSL
DOI：
10.1073/pnas.1210309109
发表时间：
2012-10-09
影响因子：
11.1
作者：
Lee, Heewook;Popodi, Ellen;Foster, Patricia L.
通讯作者：
Foster, Patricia L.
DOI：
10.1038/nrmicro.2015.13
发表时间：
2016-03
期刊：
Nature reviews. Microbiology
影响因子：
--
作者：
通讯作者：
--
影响因子：
10.7
作者：
Balbi, Kevin J.;Rocha, Eduardo P. C.;Feil, Edward J.
通讯作者：
Feil, Edward J.