资源包装对进化的适应性和多效性的影响。

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Neetika Ahlawat, Pavithra Venkataraman, Raman Gulab Brajesh, Supreet Saini
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引用次数: 0

摘要

对环境的适应是通过有益突变的积累而实现的。适应轨迹和适应的多效效应如何随着环境的“细微”变化而变化?由于不存在量化“微妙”环境变化的分子框架,设计实验来回答这个问题一直具有挑战性。在这项工作中,我们通过研究环境中进化的影响来解决这个问题,这些环境只在糖呈现给细菌群体的方式上有所不同。具体来说,我们关注的是葡萄糖和半乳糖,它们可以作为葡萄糖和半乳糖、乳糖或糖二糖的混合物提供给大肠杆菌群体。我们在这三种化学相关或“同义”的环境中进化了6个重复的大肠杆菌群体,持续了300代,并表明这些群体的适应反应并不相似。当在一系列非同义环境中测试适应度的多效效应时,我们的结果表明,尽管不相关的适应性变化,但基于祖先在非家庭环境中的适应度,多效效应的本质在很大程度上是可预测的。总的来说,我们的结果强调了环境的细微变化如何改变适应,但尽管序列水平的变化,多效性在质量上是可预测的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of resource packaging on the adaptative and pleiotropic consequences of evolution.

Adaptation to an environment is enabled by the accumulation of beneficial mutations. How do adaptive trajectories and pleiotropic effects of adaptation change in response to "subtle" changes in the environment? Since there exists no molecular framework to quantify "subtle" environmental change, designing experiments to answer this question has been challenging. In this work, we address this question by studying the effects of evolution in environments which differ solely in the way sugars are presented to a bacterial population. Specifically, we focus on glucose and galactose, which can be supplied to an E. coli population as a mixture of glucose and galactose, lactose, or melibiose. We evolve six replicate populations of E coli for 300 generations in these three chemically correlated or "synonymous" environments, and show that the adaptive responses of these populations are not similar. When tested for pleiotropic effects of fitness in a range of non-synonymous environments, our results show that despite uncorrelated adaptive changes, the nature of pleiotropic effects is largely predictable based on the fitness of the ancestor in the non-home environments. Overall, our results highlight how subtle changes in the environment can alter adaptation, but despite sequence-level variations, pleiotropy is qualitatively predictable.

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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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