• 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

进化图论中的自环:是敌是友?

Self-loops in evolutionary graph theory: Friends or foes?

机构信息

Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.

出版信息

PLoS Comput Biol. 2023 Sep 1;19(9):e1011387. doi: 10.1371/journal.pcbi.1011387. eCollection 2023 Sep.

DOI:10.1371/journal.pcbi.1011387
PMID:37656739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10501642/
Abstract

Evolutionary dynamics in spatially structured populations has been studied for a long time. More recently, the focus has been to construct structures that amplify selection by fixing beneficial mutations with higher probability than the well-mixed population and lower probability of fixation for deleterious mutations. It has been shown that for a structure to substantially amplify selection, self-loops are necessary when mutants appear predominately in nodes that change often. As a result, for low mutation rates, self-looped amplifiers attain higher steady-state average fitness in the mutation-selection balance than well-mixed populations. But what happens when the mutation rate increases such that fixation probabilities alone no longer describe the dynamics? We show that self-loops effects are detrimental outside the low mutation rate regime. In the intermediate and high mutation rate regime, amplifiers of selection attain lower steady-state average fitness than the complete graph and suppressors of selection. We also provide an estimate of the mutation rate beyond which the mutation-selection dynamics on a graph deviates from the weak mutation rate approximation. It involves computing average fixation time scaling with respect to the population sizes for several graphs.

摘要

长期以来,人们一直在研究具有空间结构的种群的进化动态。最近,人们的关注点集中在构建能够通过更高的概率固定有益突变,同时降低有害突变固定概率的结构上,从而放大选择的力度。已经表明,当突变体主要出现在经常变化的节点时,自我循环是必要的,以便结构能够显著放大选择。因此,在低突变率下,自我循环放大器在突变-选择平衡中达到比混合种群更高的稳态平均适应度。但是,当突变率增加到仅固定概率不再描述动力学时会发生什么?我们表明,在低突变率范围之外,自我循环的影响是有害的。在中高突变率范围内,选择放大器的稳态平均适应度低于完全图和选择抑制剂。我们还提供了一个突变率的估计值,超过该值后,图上的突变-选择动力学将偏离弱突变率近似值。这涉及到计算几个图的平均固定时间与种群大小的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/6b5f830f5169/pcbi.1011387.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/2b6ff6d29dbf/pcbi.1011387.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/2b20f41fbb91/pcbi.1011387.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/dec065ed31e1/pcbi.1011387.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/b10101ff2466/pcbi.1011387.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/4939dc303f04/pcbi.1011387.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/775a261cb2ba/pcbi.1011387.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/3ccb9ac170af/pcbi.1011387.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/f60f3904ef4b/pcbi.1011387.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/75096563a379/pcbi.1011387.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/6b5f830f5169/pcbi.1011387.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/2b6ff6d29dbf/pcbi.1011387.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/2b20f41fbb91/pcbi.1011387.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/dec065ed31e1/pcbi.1011387.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/b10101ff2466/pcbi.1011387.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/4939dc303f04/pcbi.1011387.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/775a261cb2ba/pcbi.1011387.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/3ccb9ac170af/pcbi.1011387.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/f60f3904ef4b/pcbi.1011387.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/75096563a379/pcbi.1011387.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c567/10501642/6b5f830f5169/pcbi.1011387.g010.jpg

相似文献

1
Self-loops in evolutionary graph theory: Friends or foes?进化图论中的自环:是敌是友?
PLoS Comput Biol. 2023 Sep 1;19(9):e1011387. doi: 10.1371/journal.pcbi.1011387. eCollection 2023 Sep.
2
Suppressors of fixation can increase average fitness beyond amplifiers of selection.抑制固定因素可以提高平均适应度,超过选择放大器。
Proc Natl Acad Sci U S A. 2022 Sep 13;119(37):e2205424119. doi: 10.1073/pnas.2205424119. Epub 2022 Sep 6.
3
Fixation probabilities in graph-structured populations under weak selection.在弱选择下的图结构种群中的固定概率。
PLoS Comput Biol. 2021 Feb 2;17(2):e1008695. doi: 10.1371/journal.pcbi.1008695. eCollection 2021 Feb.
4
Evolutionary regime transitions in structured populations.结构种群中的进化制度变迁。
PLoS One. 2018 Nov 26;13(11):e0200670. doi: 10.1371/journal.pone.0200670. eCollection 2018.
5
Most Undirected Random Graphs Are Amplifiers of Selection for Birth-Death Dynamics, but Suppressors of Selection for Death-Birth Dynamics.大多数无向随机图对于生死动态而言是选择放大器,但对于死生动向而言是选择抑制器。
PLoS Comput Biol. 2015 Nov 6;11(11):e1004437. doi: 10.1371/journal.pcbi.1004437. eCollection 2015 Nov.
6
The effect of population structure on the rate of evolution.人口结构对进化速度的影响。
Proc Biol Sci. 2013 May 15;280(1762):20130211. doi: 10.1098/rspb.2013.0211. Print 2013 Jul 7.
7
Evolutionary graph theory beyond pairwise interactions: Higher-order network motifs shape times to fixation in structured populations.超越二元交互的进化图论:结构种群中高阶网络基元决定固定时间
PLoS Comput Biol. 2024 Mar 15;20(3):e1011905. doi: 10.1371/journal.pcbi.1011905. eCollection 2024 Mar.
8
Evolutionary games on cycles with strong selection.具有强选择的循环上的演化博弈
Phys Rev E. 2017 Feb;95(2-1):022407. doi: 10.1103/PhysRevE.95.022407. Epub 2017 Feb 13.
9
Evolutionary dynamics on graphs.图上的进化动力学。
Nature. 2005 Jan 20;433(7023):312-6. doi: 10.1038/nature03204.
10
Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs.选择的瞬时放大器和固定死亡的减少——图上的生死更新。
PLoS Comput Biol. 2020 Jan 17;16(1):e1007529. doi: 10.1371/journal.pcbi.1007529. eCollection 2020 Jan.

引用本文的文献

1
Graph-structured populations elucidate the role of deleterious mutations in long-term evolution.图结构种群揭示了有害突变在长期进化中的作用。
Nat Commun. 2025 Mar 10;16(1):2355. doi: 10.1038/s41467-025-57552-9.
2
Mutant fate in spatially structured populations on graphs: Connecting models to experiments.图上具有空间结构的种群中的突变命运:将模型与实验联系起来。
PLoS Comput Biol. 2024 Sep 6;20(9):e1012424. doi: 10.1371/journal.pcbi.1012424. eCollection 2024 Sep.

本文引用的文献

1
A theory of evolutionary dynamics on any complex population structure reveals stem cell niche architecture as a spatial suppressor of selection.任何复杂群体结构的进化动力学理论都揭示了干细胞生态位结构作为选择的空间抑制因子。
Nat Commun. 2024 May 31;15(1):4666. doi: 10.1038/s41467-024-48617-2.
2
Frequent asymmetric migrations suppress natural selection in spatially structured populations.频繁的不对称迁移会抑制空间结构化种群中的自然选择。
PNAS Nexus. 2023 Nov 14;2(11):pgad392. doi: 10.1093/pnasnexus/pgad392. eCollection 2023 Nov.
3
Eco-evolutionary dynamics in finite network-structured populations with migration.
具有迁移的有限网络结构种群中的生态进化动力学
J Theor Biol. 2023 Sep 7;572:111587. doi: 10.1016/j.jtbi.2023.111587. Epub 2023 Jul 28.
4
Theoretical understanding of evolutionary dynamics on inhomogeneous networks.不均匀网络上进化动力学的理论理解。
Phys Biol. 2023 Apr 21;20(3). doi: 10.1088/1478-3975/accb36.
5
Categorizing update mechanisms for graph-structured metapopulations.对图结构的集合种群的更新机制进行分类。
J R Soc Interface. 2023 Mar;20(200):20220769. doi: 10.1098/rsif.2022.0769. Epub 2023 Mar 15.
6
Suppressors of fixation can increase average fitness beyond amplifiers of selection.抑制固定因素可以提高平均适应度,超过选择放大器。
Proc Natl Acad Sci U S A. 2022 Sep 13;119(37):e2205424119. doi: 10.1073/pnas.2205424119. Epub 2022 Sep 6.
7
Asymptotic Absorption-Time Distributions in Extinction-Prone Markov Processes.在易灭绝马尔可夫过程中的渐近吸收时间分布。
Phys Rev Lett. 2022 May 27;128(21):218301. doi: 10.1103/PhysRevLett.128.218301.
8
Toward a Universal Model for Spatially Structured Populations.迈向空间结构化种群的通用模型。
Phys Rev Lett. 2021 Nov 19;127(21):218102. doi: 10.1103/PhysRevLett.127.218102.
9
Fixation probabilities in network structured meta-populations.网络结构的元种群中的固定概率。
Sci Rep. 2021 Sep 9;11(1):17979. doi: 10.1038/s41598-021-97187-6.
10
Fast and strong amplifiers of natural selection.快速且强大的自然选择放大器。
Nat Commun. 2021 Jun 29;12(1):4009. doi: 10.1038/s41467-021-24271-w.