Schwartz Katja, Kinnersley Margie, Lindsey Charles Ross, Sherlock Gavin, Rosenzweig Frank
Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305-5120, USA.
Division of Biological Sciences, The University of Montana, Missoula, MT, 59812, USA.
BMC Biol. 2025 Aug 20;23(1):261. doi: 10.1186/s12915-025-02331-7.
Evolution of microbes under laboratory selection produces genetically diverse populations, owing to the continuous input of mutations and to competition among lineages. Whole-genome whole-population sequencing makes it possible to identify mutations arising in such populations, to use them to discern functional modules where adaptation occurs, and then map gene structure-function relationships. Here, we report on the use of this approach, adaptive genetics, to discover targets of selection and the mutational consequences thereof in E. coli evolving under chronic nutrient limitation.
Replicate bacterial populations were cultured for ≥ 300 generations in glucose limited chemostats and sequenced every 50 generations at 1000X-coverage, enabling identification of mutations that rose to ≥ 1% frequency. Thirty-nine genes qualified as high value targets of selection, being mutated far more often than would be expected by chance. A majority of these encode regulatory proteins that control gene expression at the transcriptional (e.g., RpoS and OmpR), post-transcriptional (e.g., Hfq and ProQ), and post-translational (e.g., GatZ) levels. The downstream effects of these regulatory mutations likely impact not only acquisition and processing of limiting glucose, but also assembly of structural elements such as lipopolysaccharide, periplasmic glucans, and cell surface appendages such as flagella and fimbriae. Whether regulatory or structural in nature, recurrent mutations at high value targets tend to cluster at sites either known or predicted to be involved in RNA-protein or protein-protein interactions.
Our observations highlight the value of experimental evolution as a proving ground for inferences gathered from traditional molecular genetics. By coupling experimental evolution to whole-genome, whole-population sequencing, adaptive genetics makes it possible not only the genes whose mutation confers a selective advantage, but also to discover which residues in which genes are most likely to confer a particular type of selective advantage and why.
在实验室选择条件下,微生物的进化会产生基因多样化的群体,这是由于突变的持续输入以及谱系间的竞争。全基因组全群体测序使得识别此类群体中出现的突变成为可能,利用这些突变来辨别发生适应的功能模块,进而绘制基因结构与功能的关系。在此,我们报告了使用这种方法,即适应性遗传学,来发现长期营养限制条件下大肠杆菌中选择的靶点及其突变后果。
将重复的细菌群体在葡萄糖限制的恒化器中培养≥300代,并每50代进行1000倍覆盖度的测序,从而能够识别频率上升至≥1%的突变。39个基因被鉴定为高价值的选择靶点,其发生突变的频率远远高于偶然预期。其中大多数编码在转录(如RpoS和OmpR)、转录后(如Hfq和ProQ)和翻译后(如GatZ)水平控制基因表达的调节蛋白。这些调节突变的下游效应可能不仅影响有限葡萄糖的获取和加工,还影响诸如脂多糖、周质葡聚糖等结构元件以及鞭毛和菌毛等细胞表面附属物的组装。无论是调节性的还是结构性的,高价值靶点处的反复突变往往聚集在已知或预测参与RNA - 蛋白质或蛋白质 - 蛋白质相互作用的位点。
我们的观察结果突出了实验进化作为从传统分子遗传学收集的推断的验证平台的价值。通过将实验进化与全基因组、全群体测序相结合,适应性遗传学不仅能够确定其突变赋予选择优势的基因,还能够发现哪些基因中的哪些残基最有可能赋予特定类型的选择优势以及原因。