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本文引用的文献

1
Essentiality Is a Strong Determinant of Protein Rates of Evolution during Mutation Accumulation Experiments in Escherichia coli.在大肠杆菌的突变积累实验中,必需性是蛋白质进化速率的一个重要决定因素。
Genome Biol Evol. 2016 Sep 26;8(9):2914-2927. doi: 10.1093/gbe/evw205.
2
eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences.蛋nog 4.5:一个具有改进功能注释的层次同源框架,适用于真核、原核和病毒序列。
Nucleic Acids Res. 2016 Jan 4;44(D1):D286-93. doi: 10.1093/nar/gkv1248. Epub 2015 Nov 17.
3
Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants.表达图谱更新——一个关于人类、动物和植物基因与蛋白质表达的综合数据库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D746-52. doi: 10.1093/nar/gkv1045. Epub 2015 Oct 19.
4
FlyBase: establishing a Gene Group resource for Drosophila melanogaster.果蝇数据库:为黑腹果蝇建立一个基因群组资源。
Nucleic Acids Res. 2016 Jan 4;44(D1):D786-92. doi: 10.1093/nar/gkv1046. Epub 2015 Oct 13.
5
Glycosylation-directed quality control of protein folding.糖基化定向的蛋白质折叠质量控制。
Nat Rev Mol Cell Biol. 2015 Dec;16(12):742-52. doi: 10.1038/nrm4073. Epub 2015 Oct 14.
6
Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress.内源性蛋白质的可逆、特异性、活性聚集体在热应激时组装形成。
Cell. 2015 Sep 10;162(6):1286-98. doi: 10.1016/j.cell.2015.08.041.
7
MetazSecKB: the human and animal secretome and subcellular proteome knowledgebase.MetazSecKB:人类和动物分泌组及亚细胞蛋白质组知识库。
Database (Oxford). 2015 Aug 8;2015. doi: 10.1093/database/bav077. Print 2015.
8
Determinants of the rate of protein sequence evolution.蛋白质序列进化速率的决定因素。
Nat Rev Genet. 2015 Jul;16(7):409-20. doi: 10.1038/nrg3950. Epub 2015 Jun 9.
9
Lineage-specific sequence evolution and exon edge conservation partially explain the relationship between evolutionary rate and expression level in A. thaliana.谱系特异性序列进化和外显子边缘保守性部分解释了拟南芥中进化速率与表达水平之间的关系。
Mol Ecol. 2015 Jun;24(12):3093-106. doi: 10.1111/mec.13221. Epub 2015 Jun 5.
10
Universal distribution of mutational effects on protein stability, uncoupling of protein robustness from sequence evolution and distinct evolutionary modes of prokaryotic and eukaryotic proteins.突变对蛋白质稳定性影响的普遍分布、蛋白质稳健性与序列进化的解耦以及原核生物和真核生物蛋白质不同的进化模式。
Phys Biol. 2015 Apr 30;12(3):035001. doi: 10.1088/1478-3975/12/3/035001.

分泌蛋白违背表达水平与进化速率的反相关关系。

Secreted Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.

作者信息

Feyertag Felix, Berninsone Patricia M, Alvarez-Ponce David

机构信息

Department of Biology, University of Nevada, Reno, Reno, NV.

出版信息

Mol Biol Evol. 2017 Mar 1;34(3):692-706. doi: 10.1093/molbev/msw268.

DOI:10.1093/molbev/msw268
PMID:28007979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5896516/
Abstract

The rates of evolution of the proteins of any organism vary across orders of magnitude. A primary factor influencing rates of protein evolution is expression. A strong negative correlation between expression levels and evolutionary rates (the so-called E-R anticorrelation) has been observed in virtually all studied organisms. This effect is currently attributed to the abundance-dependent fitness costs of misfolding and unspecific protein-protein interactions, among other factors. Secreted proteins are folded in the endoplasmic reticulum, a compartment where chaperones, folding catalysts, and stringent quality control mechanisms promote their correct folding and may reduce the fitness costs of misfolding. In addition, confinement of secreted proteins to the extracellular space may reduce misinteractions and their deleterious effects. We hypothesize that each of these factors (the secretory pathway quality control and extracellular location) may reduce the strength of the E-R anticorrelation. Indeed, here we show that among human proteins that are secreted to the extracellular space, rates of evolution do not correlate with protein abundances. This trend is robust to controlling for several potentially confounding factors and is also observed when analyzing protein abundance data for 6 human tissues. In addition, analysis of mRNA abundance data for 32 human tissues shows that the E-R correlation is always less negative, and sometimes nonsignificant, in secreted proteins. Similar observations were made in Caenorhabditis elegans and in Escherichia coli, and to a lesser extent in Drosophila melanogaster, Saccharomyces cerevisiae and Arabidopsis thaliana. Our observations contribute to understand the causes of the E-R anticorrelation.

摘要

任何生物体蛋白质的进化速率在几个数量级上都会有所不同。影响蛋白质进化速率的一个主要因素是表达。在几乎所有已研究的生物体中,都观察到表达水平与进化速率之间存在强烈的负相关(即所谓的E-R反相关)。目前,这种效应归因于错误折叠和非特异性蛋白质-蛋白质相互作用的丰度依赖性适应性成本等因素。分泌蛋白在内质网中折叠,在内质网这个区室中,伴侣蛋白、折叠催化剂和严格的质量控制机制促进它们的正确折叠,并可能降低错误折叠的适应性成本。此外,将分泌蛋白限制在细胞外空间可能会减少错误相互作用及其有害影响。我们假设这些因素(分泌途径质量控制和细胞外定位)中的每一个都可能降低E-R反相关的强度。事实上,我们在此表明,在分泌到细胞外空间的人类蛋白质中,进化速率与蛋白质丰度不相关。这种趋势在控制了几个潜在的混杂因素后仍然稳健,并且在分析6种人类组织的蛋白质丰度数据时也观察到了。此外,对32种人类组织的mRNA丰度数据进行分析表明,在分泌蛋白中,E-R相关性总是不那么负,有时甚至不显著。在秀丽隐杆线虫和大肠杆菌中也有类似的观察结果,在黑腹果蝇、酿酒酵母和拟南芥中观察到的程度较小。我们的观察结果有助于理解E-R反相关的原因。