• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

共变是分子共同进化的一种欠佳衡量方式。

Covariation Is a Poor Measure of Molecular Coevolution.

作者信息

Talavera David, Lovell Simon C, Whelan Simon

机构信息

Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom

Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom.

出版信息

Mol Biol Evol. 2015 Sep;32(9):2456-68. doi: 10.1093/molbev/msv109. Epub 2015 May 4.

DOI:10.1093/molbev/msv109
PMID:25944916
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4540965/
Abstract

Recent developments in the analysis of amino acid covariation are leading to breakthroughs in protein structure prediction, protein design, and prediction of the interactome. It is assumed that observed patterns of covariation are caused by molecular coevolution, where substitutions at one site affect the evolutionary forces acting at neighboring sites. Our theoretical and empirical results cast doubt on this assumption. We demonstrate that the strongest coevolutionary signal is a decrease in evolutionary rate and that unfeasibly long times are required to produce coordinated substitutions. We find that covarying substitutions are mostly found on different branches of the phylogenetic tree, indicating that they are independent events that may or may not be attributable to coevolution. These observations undermine the hypothesis that molecular coevolution is the primary cause of the covariation signal. In contrast, we find that the pairs of residues with the strongest covariation signal tend to have low evolutionary rates, and that it is this low rate that gives rise to the covariation signal. Slowly evolving residue pairs are disproportionately located in the protein's core, which explains covariation methods' ability to detect pairs of residues that are close in three dimensions. These observations lead us to propose the "coevolution paradox": The strength of coevolution required to cause coordinated changes means the evolutionary rate is so low that such changes are highly unlikely to occur. As modern covariation methods may lead to breakthroughs in structural genomics, it is critical to recognize their biases and limitations.

摘要

氨基酸共变分析的最新进展正在推动蛋白质结构预测、蛋白质设计和相互作用组预测方面取得突破。人们认为观察到的共变模式是由分子协同进化引起的,其中一个位点的替换会影响作用于相邻位点的进化力量。我们的理论和实证结果对这一假设提出了质疑。我们证明,最强的协同进化信号是进化速率的降低,并且产生协同替换需要长得不可行的时间。我们发现共变替换大多出现在系统发育树的不同分支上,这表明它们是独立事件,可能归因于协同进化,也可能不归因于协同进化。这些观察结果削弱了分子协同进化是共变信号主要原因的假设。相比之下,我们发现具有最强共变信号的残基对往往进化速率较低,正是这种低速率产生了共变信号。缓慢进化的残基对不成比例地位于蛋白质的核心区域,这解释了共变方法检测三维空间中靠近的残基对的能力。这些观察结果促使我们提出“协同进化悖论”:导致协同变化所需的协同进化强度意味着进化速率极低,以至于这种变化极不可能发生。由于现代共变方法可能会在结构基因组学方面取得突破,认识到它们的偏差和局限性至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/4c1ce304b9c8/msv109f8p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/f7f8fd341936/msv109f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d10a20787a42/msv109f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d3ecdb7764ba/msv109f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d508e015c59e/msv109f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/8b20164622f7/msv109f5p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/46539cbeded7/msv109f6p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/91296dfaff75/msv109f7p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/4c1ce304b9c8/msv109f8p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/f7f8fd341936/msv109f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d10a20787a42/msv109f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d3ecdb7764ba/msv109f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/d508e015c59e/msv109f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/8b20164622f7/msv109f5p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/46539cbeded7/msv109f6p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/91296dfaff75/msv109f7p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea13/4540965/4c1ce304b9c8/msv109f8p.jpg

相似文献

1
Covariation Is a Poor Measure of Molecular Coevolution.共变是分子共同进化的一种欠佳衡量方式。
Mol Biol Evol. 2015 Sep;32(9):2456-68. doi: 10.1093/molbev/msv109. Epub 2015 May 4.
2
Reducing the false positive rate in the non-parametric analysis of molecular coevolution.降低分子协同进化非参数分析中的假阳性率。
BMC Evol Biol. 2008 Apr 10;8:106. doi: 10.1186/1471-2148-8-106.
3
Detecting compensatory covariation signals in protein evolution using reconstructed ancestral sequences.利用重建的祖先序列检测蛋白质进化中的补偿性共变信号。
J Mol Biol. 2002 Jun 7;319(3):729-43. doi: 10.1016/S0022-2836(02)00239-5.
4
Analysis of covariation in an SH3 domain sequence alignment: applications in tertiary contact prediction and the design of compensating hydrophobic core substitutions.SH3结构域序列比对中的共变分析:在三级接触预测及补偿性疏水核心取代设计中的应用
J Mol Biol. 2000 Oct 27;303(3):433-46. doi: 10.1006/jmbi.2000.4146.
5
New methods to measure residues coevolution in proteins.用于测量蛋白质中残基共进化的新方法。
BMC Bioinformatics. 2011 May 26;12:206. doi: 10.1186/1471-2105-12-206.
6
Contributions of residue pairing to beta-sheet formation: conservation and covariation of amino acid residue pairs on antiparallel beta-strands.残基配对对β-折叠形成的贡献:反平行β-链上氨基酸残基对的保守性和共变
J Mol Biol. 2001 Feb 2;305(5):1145-59. doi: 10.1006/jmbi.2000.4364.
7
A novel method for detecting intramolecular coevolution: adding a further dimension to selective constraints analyses.一种检测分子内协同进化的新方法:为选择性限制分析增添新维度。
Genetics. 2006 May;173(1):9-23. doi: 10.1534/genetics.105.053249. Epub 2006 Mar 17.
8
Coevolving protein residues: maximum likelihood identification and relationship to structure.共同进化的蛋白质残基:最大似然识别及其与结构的关系
J Mol Biol. 1999 Mar 19;287(1):187-98. doi: 10.1006/jmbi.1998.2601.
9
Extracting phylogenetic dimensions of coevolution reveals hidden functional signals.提取共进化的系统发育维度揭示隐藏的功能信号。
Sci Rep. 2022 Jan 17;12(1):820. doi: 10.1038/s41598-021-04260-1.
10
Base pairing constraints drive structural epistasis in ribosomal RNA sequences.碱基配对约束驱动核糖体 RNA 序列的结构上位性。
Mol Biol Evol. 2010 Aug;27(8):1868-76. doi: 10.1093/molbev/msq069. Epub 2010 Mar 8.

引用本文的文献

1
Developing and Applying RNA Empirical Models With Secondary Structure Insights for Orthoptera Phylogenetics.基于二级结构见解开发并应用RNA实证模型用于直翅目系统发育研究
Ecol Evol. 2025 Aug 31;15(9):e72068. doi: 10.1002/ece3.72068. eCollection 2025 Sep.
2
Protein Structural Phylogenetics.蛋白质结构系统发育学
Genome Biol Evol. 2025 Jul 30;17(8). doi: 10.1093/gbe/evaf139.
3
PHACE: Phylogeny-Aware Detection of Molecular Coevolution.PHACE:分子协同进化的系统发育感知检测

本文引用的文献

1
Amino acid coevolution reveals three-dimensional structure and functional domains of insect odorant receptors.氨基酸协同进化揭示了昆虫气味受体的三维结构和功能域。
Nat Commun. 2015 Jan 13;6:6077. doi: 10.1038/ncomms7077.
2
Epistasis constrains mutational pathways of hemoglobin adaptation in high-altitude pikas.上位性限制了高原鼠兔血红蛋白适应性的突变途径。
Mol Biol Evol. 2015 Feb;32(2):287-98. doi: 10.1093/molbev/msu311. Epub 2014 Nov 18.
3
Empirical fitness landscapes and the predictability of evolution.经验性适应景观与进化的可预测性。
Mol Biol Evol. 2025 Jul 1;42(7). doi: 10.1093/molbev/msaf150.
4
Identification of coevolving positions by ancestral reconstruction.通过祖先重建鉴定协同进化位点。
Commun Biol. 2025 Feb 28;8(1):329. doi: 10.1038/s42003-025-07676-x.
5
General strategies for using amino acid sequence data to guide biochemical investigation of protein function.利用氨基酸序列数据指导蛋白质功能的生化研究的一般策略。
Biochem Soc Trans. 2022 Dec 16;50(6):1847-1858. doi: 10.1042/BST20220849.
6
Genomic Signatures of Mitonuclear Coevolution in Mammals.哺乳动物中线粒体与核基因组协同进化的基因组特征。
Mol Biol Evol. 2022 Nov 3;39(11). doi: 10.1093/molbev/msac233.
7
Covariance predicts conserved protein residue interactions important for the emergence and continued evolution of SARS-CoV-2 as a human pathogen.协方差预测了对 SARS-CoV-2 作为人类病原体的出现和持续进化至关重要的保守蛋白质残基相互作用。
PLoS One. 2022 Jul 27;17(7):e0270276. doi: 10.1371/journal.pone.0270276. eCollection 2022.
8
Combined Theoretical, Bioinformatic, and Biochemical Analyses of RNA Editing by Adenine Base Editors.腺嘌呤碱基编辑器介导的 RNA 编辑的综合理论、生物信息学和生物化学分析。
CRISPR J. 2022 Apr;5(2):294-310. doi: 10.1089/crispr.2021.0131. Epub 2022 Mar 28.
9
The Structural Determinants of Intra-Protein Compensatory Substitutions.蛋白质内补偿性替换的结构决定因素。
Mol Biol Evol. 2022 Apr 11;39(4). doi: 10.1093/molbev/msac063.
10
Covariance predicts conserved protein residue interactions important to the emergence and continued evolution of SARS-CoV-2 as a human pathogen.协方差预测了对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)作为人类病原体的出现和持续进化至关重要的保守蛋白质残基相互作用。
bioRxiv. 2022 Feb 7:2022.01.13.476204. doi: 10.1101/2022.01.13.476204.
Nat Rev Genet. 2014 Jul;15(7):480-90. doi: 10.1038/nrg3744. Epub 2014 Jun 10.
4
Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information.利用进化信息对蛋白质界面上的残基-残基相互作用进行稳健且准确的预测。
Elife. 2014 May 1;3:e02030. doi: 10.7554/eLife.02030.
5
Assessing the utility of coevolution-based residue-residue contact predictions in a sequence- and structure-rich era.在序列和结构丰富的时代评估基于共进化的残基-残基接触预测的效用。
Proc Natl Acad Sci U S A. 2013 Sep 24;110(39):15674-9. doi: 10.1073/pnas.1314045110. Epub 2013 Sep 5.
6
Prediction of contacts from correlated sequence substitutions.预测相关序列取代的接触。
Curr Opin Struct Biol. 2013 Jun;23(3):473-9. doi: 10.1016/j.sbi.2013.04.001. Epub 2013 May 14.
7
Protein engineering and stabilization from sequence statistics: variation and covariation analysis.基于序列统计的蛋白质工程与稳定性:变异和共变异分析
Methods Enzymol. 2013;523:237-56. doi: 10.1016/B978-0-12-394292-0.00011-4.
8
Evolution-based design of proteins.基于进化的蛋白质设计
Methods Enzymol. 2013;523:213-35. doi: 10.1016/B978-0-12-394292-0.00010-2.
9
Using analyses of amino Acid coevolution to understand protein structure and function.利用氨基酸共进化分析来理解蛋白质的结构和功能。
Methods Enzymol. 2013;523:191-212. doi: 10.1016/B978-0-12-394292-0.00009-6.
10
Accurate simulation and detection of coevolution signals in multiple sequence alignments.准确模拟和检测多重序列比对中的协同进化信号。
PLoS One. 2012;7(10):e47108. doi: 10.1371/journal.pone.0047108. Epub 2012 Oct 16.