How prebiotic complexity increases through Darwinian evolution

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kohtoh Yukawa , Ryo Mizuuchi , Norikazu Ichihashi
{"title":"How prebiotic complexity increases through Darwinian evolution","authors":"Kohtoh Yukawa ,&nbsp;Ryo Mizuuchi ,&nbsp;Norikazu Ichihashi","doi":"10.1016/j.coisb.2023.100456","DOIUrl":null,"url":null,"abstract":"<div><p>Present-day life is amazingly diverse and complex owing to Darwinian evolution. Despite the simplicity of the principle of Darwinian evolution, the process and its outcomes are largely unpredictable. Evolutionary simulation and experiments are useful methods for gaining insights into the process and outcomes of Darwinian evolution. In this short review, we discuss recent progress in theoretical and experimental approaches to understanding the possible evolutionary processes of prebiotic self-replicators. We especially focus on research addressing how a prebiotic self-replicator increases complexity through evolution, including our recent experiments, in which a complex replication network consisting of multiple self-replicating molecules spontaneously evolved from a single replicating RNA.</p></div>","PeriodicalId":37400,"journal":{"name":"Current Opinion in Systems Biology","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452310023000136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Present-day life is amazingly diverse and complex owing to Darwinian evolution. Despite the simplicity of the principle of Darwinian evolution, the process and its outcomes are largely unpredictable. Evolutionary simulation and experiments are useful methods for gaining insights into the process and outcomes of Darwinian evolution. In this short review, we discuss recent progress in theoretical and experimental approaches to understanding the possible evolutionary processes of prebiotic self-replicators. We especially focus on research addressing how a prebiotic self-replicator increases complexity through evolution, including our recent experiments, in which a complex replication network consisting of multiple self-replicating molecules spontaneously evolved from a single replicating RNA.

达尔文进化如何增加益生元的复杂性
由于达尔文进化论,现在的生活是惊人的多样化和复杂。尽管达尔文进化论原理简单,但其过程及其结果在很大程度上是不可预测的。进化模拟和实验是深入了解达尔文进化过程和结果的有用方法。在这篇简短的综述中,我们讨论了理解益生元自我复制因子可能的进化过程的理论和实验方法的最新进展。我们特别关注益生元自复制因子如何通过进化增加复杂性的研究,包括我们最近的实验,在该实验中,由多个自复制分子组成的复杂复制网络从单个复制RNA自发进化而来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信