Suppr超能文献

在实验室大肠杆菌种群中,适应的程度不受环境不可预测性的限制。

Extent of adaptation is not limited by unpredictability of the environment in laboratory populations of Escherichia coli.

机构信息

Population Biology Laboratory, Biology Division, Indian Institute of Science Education and Research Pune, Pune, Maharashtra, India.

出版信息

J Evol Biol. 2018 Sep;31(9):1420-1426. doi: 10.1111/jeb.13338. Epub 2018 Jul 18.

Abstract

Environmental variability is on the rise in different parts of the earth, and the survival of many species depends on how well they cope with these fluctuations. Our current understanding of how organisms adapt to unpredictably fluctuating environments is almost entirely based on studies that investigate fluctuations among different values of a single environmental stressor such as temperature or pH. How would unpredictability affect adaptation when the environment fluctuates between qualitatively very different kinds of stresses? To answer this question, we subjected laboratory populations of Escherichia coli to selection over ~ 260 generations. The populations faced predictable and unpredictable environmental fluctuations across qualitatively different selection environments, namely, salt and acidic pH. We show that predictability of environmental fluctuations does not play a role in determining the extent of adaptation, although the extent of ancestral adaptation to the chosen selection environments is of key importance.

摘要

环境变异性在地球的不同地区都呈上升趋势,许多物种的生存取决于它们应对这些波动的能力。我们目前对于生物如何适应不可预测的环境波动的理解几乎完全基于这样的研究,即研究单一环境胁迫(如温度或 pH 值)的不同值之间的波动。当环境在性质非常不同的压力之间波动时,不可预测性会如何影响适应性?为了回答这个问题,我们让大肠杆菌的实验室种群经历了大约 260 代的选择。这些种群面临着可预测和不可预测的环境波动,跨越了性质完全不同的选择环境,即盐和酸性 pH 值。我们表明,环境波动的可预测性在决定适应程度方面不起作用,尽管对所选选择环境的祖先适应性的程度是至关重要的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验