• 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

对形成复杂适应景观的同源序列氨基酸相互作用的实验分析。

An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape.

机构信息

Institute of Science and Technology Austria, Am Campus 1, Klosterneuburg, Austria.

Department of Systems Biology, Columbia University, New York, NY, United States of America.

出版信息

PLoS Genet. 2019 Apr 10;15(4):e1008079. doi: 10.1371/journal.pgen.1008079. eCollection 2019 Apr.

DOI:10.1371/journal.pgen.1008079
PMID:30969963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6476524/
Abstract

Characterizing the fitness landscape, a representation of fitness for a large set of genotypes, is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of the fitness landscape of His3, a gene coding for an enzyme in the histidine synthesis pathway, focusing on combinations of amino acid states found at orthologous sites of extant species. Just 15% of amino acids found in yeast His3 orthologues were always neutral while the impact on fitness of the remaining 85% depended on the genetic background. Furthermore, at 67% of sites, amino acid replacements were under sign epistasis, having both strongly positive and negative effect in different genetic backgrounds. 46% of sites were under reciprocal sign epistasis. The fitness impact of amino acid replacements was influenced by only a few genetic backgrounds but involved interaction of multiple sites, shaping a rugged fitness landscape in which many of the shortest paths between highly fit genotypes are inaccessible.

摘要

描述适应度景观,即大量基因型的适应度表现,是理解遗传信息如何被解释以创造功能生物体的关键。在这里,我们确定了 His3 适应度景观的进化相关部分,His3 是编码组氨酸合成途径中酶的基因,重点关注在现存物种的同源位点发现的氨基酸状态组合。在酵母 His3 同源物中发现的只有 15%的氨基酸总是处于中性状态,而其余 85%的氨基酸对适应度的影响取决于遗传背景。此外,在 67%的位点上,氨基酸替换受到符号上位性的影响,在不同的遗传背景下具有强烈的正效应和负效应。46%的位点受到相互符号上位性的影响。氨基酸替换对适应度的影响只受到少数遗传背景的影响,但涉及多个位点的相互作用,形成了一个崎岖不平的适应度景观,其中许多高度适应的基因型之间的最短路径是无法到达的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/e85d8fc4344a/pgen.1008079.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/b49c17edc312/pgen.1008079.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/0b0815057754/pgen.1008079.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/6f708aeed7cb/pgen.1008079.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/0f6a4c137983/pgen.1008079.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/950b0a2b1f40/pgen.1008079.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/af3d8f31b4a6/pgen.1008079.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/e85d8fc4344a/pgen.1008079.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/b49c17edc312/pgen.1008079.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/0b0815057754/pgen.1008079.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/6f708aeed7cb/pgen.1008079.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/0f6a4c137983/pgen.1008079.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/950b0a2b1f40/pgen.1008079.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/af3d8f31b4a6/pgen.1008079.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882a/6476524/e85d8fc4344a/pgen.1008079.g007.jpg

相似文献

1
An experimental assay of the interactions of amino acids from orthologous sequences shaping a complex fitness landscape.对形成复杂适应景观的同源序列氨基酸相互作用的实验分析。
PLoS Genet. 2019 Apr 10;15(4):e1008079. doi: 10.1371/journal.pgen.1008079. eCollection 2019 Apr.
2
A systematic survey of an intragenic epistatic landscape.基因内上位性景观的系统调查。
Mol Biol Evol. 2015 Jan;32(1):229-38. doi: 10.1093/molbev/msu301. Epub 2014 Nov 3.
3
Reciprocal sign epistasis between frequently experimentally evolved adaptive mutations causes a rugged fitness landscape.经常在实验中进化的适应性突变之间的相互符号上位性导致了崎岖的适应度景观。
PLoS Genet. 2011 Apr;7(4):e1002056. doi: 10.1371/journal.pgen.1002056. Epub 2011 Apr 28.
4
Cloning and sequence analysis of the Pichia pastoris TRP1, IPP1 and HIS3 genes.巴斯德毕赤酵母TRP1、IPP1和HIS3基因的克隆与序列分析。
Yeast. 1998 Jun 30;14(9):861-7. doi: 10.1002/(SICI)1097-0061(19980630)14:9<861::AID-YEA276>3.0.CO;2-N.
5
The transcriptional activator GCN4 contains multiple activation domains that are critically dependent on hydrophobic amino acids.转录激活因子GCN4含有多个激活结构域,这些结构域严重依赖于疏水氨基酸。
Mol Cell Biol. 1995 Mar;15(3):1220-33. doi: 10.1128/MCB.15.3.1220.
6
Experimental illumination of a fitness landscape.实验照亮适应度景观。
Proc Natl Acad Sci U S A. 2011 May 10;108(19):7896-901. doi: 10.1073/pnas.1016024108. Epub 2011 Apr 4.
7
The Valley-of-Death: reciprocal sign epistasis constrains adaptive trajectories in a constant, nutrient limiting environment.死亡谷:相互作用的符号上位性在恒定的营养限制环境中限制了适应性轨迹。
Genomics. 2014 Dec;104(6 Pt A):431-7. doi: 10.1016/j.ygeno.2014.10.011. Epub 2014 Nov 1.
8
The fitness landscape of the codon space across environments.跨越环境的密码子空间适应景观。
Heredity (Edinb). 2018 Nov;121(5):422-437. doi: 10.1038/s41437-018-0125-7. Epub 2018 Aug 20.
9
Cloning and functional verification of the Candida milleri HIS3 gene encoding imidazoleglycerol phosphate dehydratase.克隆和功能验证编码咪唑甘油磷酸脱水酶的米勒毕赤酵母 HIS3 基因。
J Microbiol Biotechnol. 2012 Oct;22(10):1441-5. doi: 10.4014/jmb.1207.07064.
10
Prions of yeast are genes made of protein: amyloids and enzymes.酵母朊病毒是由蛋白质构成的基因:淀粉样蛋白和酶。
Cold Spring Harb Symp Quant Biol. 2004;69:489-96. doi: 10.1101/sqb.2004.69.489.

引用本文的文献

1
Learning sequence-function relationships with scalable, interpretable Gaussian processes.通过可扩展、可解释的高斯过程学习序列-函数关系。
bioRxiv. 2025 Aug 19:2025.08.15.670613. doi: 10.1101/2025.08.15.670613.
2
Experimental evolution in an era of molecular manipulation.分子操作时代的实验进化
Nat Rev Genet. 2025 Jul 21. doi: 10.1038/s41576-025-00867-6.
3
A Cyanobacterial Screening Platform for Rubisco Mutant Variants.用于核酮糖-1,5-二磷酸羧化酶突变体变体的蓝藻筛选平台。

本文引用的文献

1
Coevolution-based inference of amino acid interactions underlying protein function.基于共进化的蛋白质功能相关氨基酸相互作用推断。
Elife. 2018 Jul 20;7:e34300. doi: 10.7554/eLife.34300.
2
High-order epistasis shapes evolutionary trajectories.高阶上位性塑造进化轨迹。
PLoS Comput Biol. 2017 May 15;13(5):e1005541. doi: 10.1371/journal.pcbi.1005541. eCollection 2017 May.
3
Stability-Mediated Epistasis Restricts Accessible Mutational Pathways in the Functional Evolution of Avian Hemoglobin.稳定性介导的上位性限制了鸟类血红蛋白功能进化中可及的突变途径。
ACS Synth Biol. 2025 Jul 18;14(7):2619-2633. doi: 10.1021/acssynbio.5c00065. Epub 2025 Jul 7.
4
Pervasive Divergence in Protein Thermostability is Mediated by Both Structural Changes and Cellular Environments.蛋白质热稳定性的普遍差异由结构变化和细胞环境共同介导。
Mol Biol Evol. 2025 Jul 1;42(7). doi: 10.1093/molbev/msaf137.
5
PRESCOTT: a population aware, epistatic, and structural model accurately predicts missense effects.普雷斯科特:一种群体感知、上位性和结构模型能准确预测错义效应。
Genome Biol. 2025 May 6;26(1):113. doi: 10.1186/s13059-025-03581-y.
6
MMRT: MultiMut Recursive Tree for predicting functional effects of high-order protein variants from low-order variants.MMRT:用于从低阶变体预测高阶蛋白质变体功能效应的多重突变递归树
Comput Struct Biotechnol J. 2025 Feb 18;27:672-681. doi: 10.1016/j.csbj.2025.02.012. eCollection 2025.
7
Protein stability models fail to capture epistatic interactions of double point mutations.蛋白质稳定性模型无法捕捉双点突变的上位性相互作用。
Protein Sci. 2025 Jan;34(1):e70003. doi: 10.1002/pro.70003.
8
MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data.MoCHI:用于拟合可解释模型并从深度突变扫描数据中量化能量、能量耦合、上位性和变构的神经网络。
Genome Biol. 2024 Dec 2;25(1):303. doi: 10.1186/s13059-024-03444-y.
9
Specialization Restricts the Evolutionary Paths Available to Yeast Sugar Transporters.专业化限制了酵母糖转运蛋白的进化途径。
Mol Biol Evol. 2024 Nov 1;41(11). doi: 10.1093/molbev/msae228.
10
A fitness distribution law for amino-acid replacements.氨基酸替换的适应性分布规律。
bioRxiv. 2024 Oct 15:2024.10.11.617952. doi: 10.1101/2024.10.11.617952.
Mol Biol Evol. 2017 May 1;34(5):1240-1251. doi: 10.1093/molbev/msx085.
4
On the (un)predictability of a large intragenic fitness landscape.关于大型基因内适应度景观的(不)可预测性
Proc Natl Acad Sci U S A. 2016 Dec 6;113(49):14085-14090. doi: 10.1073/pnas.1612676113. Epub 2016 Nov 18.
5
Simultaneous Optimization of Biomolecular Energy Functions on Features from Small Molecules and Macromolecules.基于小分子和大分子特征的生物分子能量函数的同步优化。
J Chem Theory Comput. 2016 Dec 13;12(12):6201-6212. doi: 10.1021/acs.jctc.6b00819. Epub 2016 Nov 7.
6
The Context-Dependence of Mutations: A Linkage of Formalisms.突变的上下文依赖性:形式主义的一种联系
PLoS Comput Biol. 2016 Jun 23;12(6):e1004771. doi: 10.1371/journal.pcbi.1004771. eCollection 2016 Jun.
7
Local fitness landscape of the green fluorescent protein.绿色荧光蛋白的局部适应度景观
Nature. 2016 May 19;533(7603):397-401. doi: 10.1038/nature17995. Epub 2016 May 11.
8
How Good Are Statistical Models at Approximating Complex Fitness Landscapes?统计模型在逼近复杂适应度景观方面的表现如何?
Mol Biol Evol. 2016 Sep;33(9):2454-68. doi: 10.1093/molbev/msw097. Epub 2016 May 14.
9
The fitness landscape of a tRNA gene.一个转运RNA基因的适应度景观。
Science. 2016 May 13;352(6287):837-40. doi: 10.1126/science.aae0568. Epub 2016 Apr 14.
10
Network of epistatic interactions within a yeast snoRNA.酵母小核仁RNA内的上位相互作用网络
Science. 2016 May 13;352(6287):840-4. doi: 10.1126/science.aaf0965. Epub 2016 Apr 14.