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研究微生物适应的遗传和表型结构的挑战和潜在解决方案。

Challenges and potential solutions for studying the genetic and phenotypic architecture of adaptation in microbes.

机构信息

Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@LeandraBrettner.

Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@wchoEvo.

出版信息

Curr Opin Genet Dev. 2022 Aug;75:101951. doi: 10.1016/j.gde.2022.101951. Epub 2022 Jul 4.

DOI:10.1016/j.gde.2022.101951
PMID:35797741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10321321/
Abstract

All organisms are defined by the makeup of their DNA. Over billions of years, the structure and information contained in that DNA, often referred to as genetic architecture, have been honed by a multitude of evolutionary processes. Mutations that cause genetic elements to change in a way that results in beneficial phenotypic change are more likely to survive and propagate through the population in a process known as adaptation. Recent work reveals that the genetic targets of adaptation are varied and can change with genetic background. Further, seemingly similar adaptive mutations, even within the same gene, can have diverse and unpredictable effects on phenotype. These challenges represent major obstacles in predicting adaptation and evolution. In this review, we cover these concepts in detail and identify three emerging synergistic solutions: higher-throughput evolution experiments combined with updated genotype-phenotype mapping strategies and physiological models. Our review largely focuses on recent literature in yeast, and the field seems to be on the cusp of a new era with regard to studying the predictability of evolution.

摘要

所有生物体都由其 DNA 组成决定。在数十亿年的时间里,DNA 中的结构和信息(通常称为遗传结构)经过了多种进化过程的磨练。导致遗传元素发生改变,从而产生有益表型变化的突变更有可能在适应过程中存活并在种群中传播。最近的研究表明,适应的遗传靶标多种多样,并且可以随遗传背景而变化。此外,即使在同一基因内,看似相似的适应性突变也会对表型产生不同且不可预测的影响。这些挑战是预测适应和进化的主要障碍。在这篇综述中,我们详细介绍了这些概念,并确定了三种新兴的协同解决方案:高通量进化实验与更新的基因型-表型映射策略和生理模型相结合。我们的综述主要集中在酵母的最新文献上,该领域似乎正处于研究进化可预测性的新时代的边缘。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/10321321/8da00ea1ce8a/nihms-1900194-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/10321321/de7d48e7c26d/nihms-1900194-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/10321321/8da00ea1ce8a/nihms-1900194-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/10321321/de7d48e7c26d/nihms-1900194-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60b5/10321321/8da00ea1ce8a/nihms-1900194-f0002.jpg

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