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肺炎链球菌单菌落连续传代过程中频繁出现有益突变。

Frequent beneficial mutations during single-colony serial transfer of Streptococcus pneumoniae.

机构信息

Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania, USA.

出版信息

PLoS Genet. 2011 Aug;7(8):e1002232. doi: 10.1371/journal.pgen.1002232. Epub 2011 Aug 18.

Abstract

The appearance of new mutations within a population provides the raw material for evolution. The consistent decline in fitness observed in classical mutation accumulation studies has provided support for the long-held view that deleterious mutations are more common than beneficial mutations. Here we present results of a study using a mutation accumulation design with the bacterium Streptococcus pneumoniae in which the fitness of the derived populations increased. This rise in fitness was associated specifically with adaptation to survival during brief stationary phase periods between single-colony population bottlenecks. To understand better the population dynamics behind this unanticipated adaptation, we developed a maximum likelihood model describing the processes of mutation and stationary-phase selection in the context of frequent population bottlenecks. Using this model, we estimate that the rate of beneficial mutations may be as high as 4.8×10(-4) events per genome for each time interval corresponding to the pneumococcal generation time. This rate is several orders of magnitude higher than earlier estimates of beneficial mutation rates in bacteria but supports recent results obtained through the propagation of small populations of Escherichia coli. Our findings indicate that beneficial mutations may be relatively frequent in bacteria and suggest that in S. pneumoniae, which develops natural competence for transformation, a steady supply of such mutations may be available for sampling by recombination.

摘要

新突变在种群中的出现为进化提供了原材料。在经典的突变积累研究中,观察到适应性持续下降,这为有害突变比有益突变更为常见的长期观点提供了支持。在这里,我们展示了一项使用突变积累设计在肺炎链球菌中进行的研究的结果,其中衍生种群的适应性增加。这种适应性的提高与在单菌落种群瓶颈之间短暂的静止期期间的生存适应特别相关。为了更好地理解这种意外适应背后的种群动态,我们开发了一个最大似然模型,该模型描述了在频繁的种群瓶颈背景下突变和静止期选择的过程。使用该模型,我们估计,每个相当于肺炎球菌世代时间的时间间隔内,有益突变的速率可能高达每个基因组 4.8×10(-4)事件。这一速率比细菌中有益突变率的早期估计高出几个数量级,但支持了通过大肠杆菌小种群繁殖获得的最新结果。我们的发现表明,有益突变在细菌中可能相对频繁,并且表明在自然转化能力发展的肺炎链球菌中,这种突变可能通过重组不断供应,可供采样。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45da/3158050/259cf572387e/pgen.1002232.g001.jpg

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