• 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

克隆异质性影响新适应性突变的命运。

Clonal Heterogeneity Influences the Fate of New Adaptive Mutations.

机构信息

Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK.

Université Côte d'Azur, INSERM, CNRS, IRCAN, 06107 Nice, France.

出版信息

Cell Rep. 2017 Oct 17;21(3):732-744. doi: 10.1016/j.celrep.2017.09.046.

DOI:10.1016/j.celrep.2017.09.046
PMID:29045840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5656752/
Abstract

The joint contribution of pre-existing and de novo genetic variation to clonal adaptation is poorly understood but essential to designing successful antimicrobial or cancer therapies. To address this, we evolve genetically diverse populations of budding yeast, S. cerevisiae, consisting of diploid cells with unique haplotype combinations. We study the asexual evolution of these populations under selective inhibition with chemotherapeutic drugs by time-resolved whole-genome sequencing and phenotyping. All populations undergo clonal expansions driven by de novo mutations but remain genetically and phenotypically diverse. The clones exhibit widespread genomic instability, rendering recessive de novo mutations homozygous and refining pre-existing variation. Finally, we decompose the fitness contributions of pre-existing and de novo mutations by creating a large recombinant library of adaptive mutations in an ensemble of genetic backgrounds. Both pre-existing and de novo mutations substantially contribute to fitness, and the relative fitness of pre-existing variants sets a selective threshold for new adaptive mutations.

摘要

遗传变异对无性系适应的共同贡献尚未得到充分理解,但对于设计成功的抗菌或癌症治疗方法至关重要。为了解决这个问题,我们进化了遗传上多样化的出芽酵母 S. cerevisiae 种群,这些种群由具有独特单倍型组合的二倍体细胞组成。我们通过时间分辨的全基因组测序和表型分析,研究了这些种群在化疗药物选择性抑制下的无性系进化。所有种群都经历了由新生突变驱动的无性系扩张,但仍然具有遗传和表型多样性。克隆表现出广泛的基因组不稳定性,使隐性新生突变纯合,并改善了预先存在的变异。最后,我们通过在一组遗传背景中创建适应性突变的大型重组文库,分解预先存在和新生突变的适应性贡献。预先存在和新生突变都对适应性有很大贡献,预先存在变体的相对适应性为新的适应性突变设定了选择阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/c3cda357cf8a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/b5e676374631/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/3f57713d90a1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/fbe79ccae54c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/39be8d307bf3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/a2dff9a3e794/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/2a6a19ce8d07/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/c3cda357cf8a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/b5e676374631/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/3f57713d90a1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/fbe79ccae54c/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/39be8d307bf3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/a2dff9a3e794/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/2a6a19ce8d07/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a459/5656752/c3cda357cf8a/gr6.jpg

相似文献

1
Clonal Heterogeneity Influences the Fate of New Adaptive Mutations.克隆异质性影响新适应性突变的命运。
Cell Rep. 2017 Oct 17;21(3):732-744. doi: 10.1016/j.celrep.2017.09.046.
2
Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales.短时间和长时间进化尺度上的共同分子靶标赋予耐药性。
Mol Biol Evol. 2019 Apr 1;36(4):691-708. doi: 10.1093/molbev/msz006.
3
Recombination Alters the Dynamics of Adaptation on Standing Variation in Laboratory Yeast Populations.重组改变了实验室酵母群体中站立变异适应性的动态。
Mol Biol Evol. 2018 Jan 1;35(1):180-201. doi: 10.1093/molbev/msx278.
4
Heterozygote Advantage Is a Common Outcome of Adaptation in Saccharomyces cerevisiae.杂合子优势是酿酒酵母适应性的常见结果。
Genetics. 2016 Jul;203(3):1401-13. doi: 10.1534/genetics.115.185165. Epub 2016 May 18.
5
Adaptation by Loss of Heterozygosity in Clones Under Divergent Selection.在不同选择压力下的克隆中通过杂合性丢失进行适应。
Genetics. 2019 Oct;213(2):665-683. doi: 10.1534/genetics.119.302411. Epub 2019 Aug 1.
6
Polyploidy can drive rapid adaptation in yeast.多倍体可推动酵母的快速适应性变化。
Nature. 2015 Mar 19;519(7543):349-52. doi: 10.1038/nature14187. Epub 2015 Mar 2.
7
How does adaptation sweep through the genome? Insights from long-term selection experiments.适应是如何在基因组中传播的?来自长期选择实验的见解。
Proc Biol Sci. 2012 Dec 22;279(1749):5029-38. doi: 10.1098/rspb.2012.0799. Epub 2012 Jul 25.
8
Genome-Wide Screen Reveals Mutants of Are Methotrexate-Resistant.全基因组筛选揭示了甲氨蝶呤抗性突变体。
G3 (Bethesda). 2017 Apr 3;7(4):1251-1257. doi: 10.1534/g3.116.038117.
9
The dynamics of diverse segmental amplifications in populations of Saccharomyces cerevisiae adapting to strong selection.酿酒酵母群体中不同片段扩增在适应强选择时的动态变化。
G3 (Bethesda). 2014 Mar 20;4(3):399-409. doi: 10.1534/g3.113.009365.
10
High-Throughput Identification of Adaptive Mutations in Experimentally Evolved Yeast Populations.实验进化酵母群体中适应性突变的高通量鉴定
PLoS Genet. 2016 Oct 11;12(10):e1006339. doi: 10.1371/journal.pgen.1006339. eCollection 2016 Oct.

引用本文的文献

1
Predicting natural variation in the yeast phenotypic landscape with machine learning.利用机器学习预测酵母表型景观中的自然变异。
Mol Syst Biol. 2025 Sep 1. doi: 10.1038/s44320-025-00136-y.
2
Hybrid adaptation is hampered by Haldane's sieve.杂种适应受到哈代-温伯格定律的阻碍。
Nat Commun. 2024 Nov 28;15(1):10319. doi: 10.1038/s41467-024-54105-4.
3
Phenotyping of a new yeast mapping population reveals differences in the activation of the TORC1 signalling pathway between wild and domesticated yeast strains.一个新的酵母图谱群体的表型分析揭示了野生和驯化酵母菌株之间 TORC1 信号通路激活的差异。

本文引用的文献

1
Development of a Comprehensive Genotype-to-Fitness Map of Adaptation-Driving Mutations in Yeast.酵母中适应性驱动突变的综合基因型-适合度图谱的构建
Cell. 2016 Sep 8;166(6):1585-1596.e22. doi: 10.1016/j.cell.2016.08.002. Epub 2016 Sep 1.
2
The Ensembl Variant Effect Predictor.Ensembl变异效应预测器。
Genome Biol. 2016 Jun 6;17(1):122. doi: 10.1186/s13059-016-0974-4.
3
CRISPR-directed mitotic recombination enables genetic mapping without crosses.CRISPR 导向的有丝分裂重组可实现无需杂交的基因定位。
Biol Res. 2024 Nov 7;57(1):82. doi: 10.1186/s40659-024-00563-5.
4
Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes.高通量平行进化葡萄酒酵母以增强代谢表型。
Mol Syst Biol. 2024 Oct;20(10):1109-1133. doi: 10.1038/s44320-024-00059-0. Epub 2024 Aug 22.
5
Genome instability footprint under rapamycin and hydroxyurea treatments.雷帕霉素和羟基脲处理下的基因组不稳定性足迹。
PLoS Genet. 2023 Nov 6;19(11):e1011012. doi: 10.1371/journal.pgen.1011012. eCollection 2023 Nov.
6
Quantitative systems-based prediction of antimicrobial resistance evolution.基于定量系统的抗菌药物耐药性进化预测。
NPJ Syst Biol Appl. 2023 Sep 7;9(1):40. doi: 10.1038/s41540-023-00304-6.
7
Long-term evolution of proliferating cells using the eVOLVER platform.利用 eVOLVER 平台研究增殖细胞的长期演化。
Open Biol. 2023 Jul;13(7):230118. doi: 10.1098/rsob.230118. Epub 2023 Jul 26.
8
Deterministic evolution and stringent selection during preneoplasia.癌前病变过程中的确定性进化和严格选择。
Nature. 2023 Jun;618(7964):383-393. doi: 10.1038/s41586-023-06102-8. Epub 2023 May 31.
9
Overexpression profiling reveals cellular requirements in the context of genetic backgrounds and environments.过表达谱分析揭示了遗传背景和环境背景下细胞的需求。
PLoS Genet. 2023 Apr 28;19(4):e1010732. doi: 10.1371/journal.pgen.1010732. eCollection 2023 Apr.
10
Long-term evolution of proliferating cells using the eVOLVER platform.使用eVOLVER平台对增殖细胞进行长期进化。
bioRxiv. 2023 Apr 19:2023.03.28.534552. doi: 10.1101/2023.03.28.534552.
Science. 2016 May 27;352(6289):1113-6. doi: 10.1126/science.aaf5124. Epub 2016 May 5.
4
Hierarchy and extremes in selections from pools of randomized proteins.来自随机蛋白质库的选择中的层次结构和极端情况。
Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):3482-7. doi: 10.1073/pnas.1517813113. Epub 2016 Mar 11.
5
Quantifying the Determinants of Evolutionary Dynamics Leading to Drug Resistance.量化导致耐药性的进化动力学决定因素。
PLoS Biol. 2015 Nov 18;13(11):e1002299. doi: 10.1371/journal.pbio.1002299. eCollection 2015.
6
Quantitative evolutionary dynamics using high-resolution lineage tracking.使用高分辨率谱系追踪的定量进化动力学
Nature. 2015 Mar 12;519(7542):181-6. doi: 10.1038/nature14279. Epub 2015 Feb 25.
7
Polyploidy can drive rapid adaptation in yeast.多倍体可推动酵母的快速适应性变化。
Nature. 2015 Mar 19;519(7543):349-52. doi: 10.1038/nature14187. Epub 2015 Mar 2.
8
Standing genetic variation drives repeatable experimental evolution in outcrossing populations of Saccharomyces cerevisiae.固定遗传变异驱动酿酒酵母异交群体中可重复的实验进化。
Mol Biol Evol. 2014 Dec;31(12):3228-39. doi: 10.1093/molbev/msu256. Epub 2014 Aug 28.
9
Non-cell-autonomous driving of tumour growth supports sub-clonal heterogeneity.非细胞自主驱动肿瘤生长支持亚克隆异质性。
Nature. 2014 Oct 2;514(7520):54-8. doi: 10.1038/nature13556. Epub 2014 Jul 30.
10
High-definition reconstruction of clonal composition in cancer.癌症中克隆组成的高清重建
Cell Rep. 2014 Jun 12;7(5):1740-1752. doi: 10.1016/j.celrep.2014.04.055. Epub 2014 May 29.