Literature DB >> 30649444

Genetic Load and Potential Mutational Meltdown in Cancer Cell Populations.

Yuezheng Zhang1, Yawei Li1,2, Tao Li1,2, Xu Shen1,3, Tianqi Zhu4,5, Yong Tao1, Xueying Li6, Di Wang1, Qin Ma1,2, Zheng Hu1, Jialin Liu1, Jue Ruan1, Jun Cai1,2, Hurng-Yi Wang7,8, Xuemei Lu1,9,2.   

Abstract

Large genomes with elevated mutation rates are prone to accumulating deleterious mutations more rapidly than natural selection can purge (Muller's ratchet). As a consequence, it may lead to the extinction of small populations. Relative to most unicellular organisms, cancer cells, with large and nonrecombining genome and high mutation rate, could be particularly susceptible to such "mutational meltdown." However, the most common type of mutation in organismal evolution, namely, deleterious mutation, has received relatively little attention in the cancer biology literature. Here, by monitoring single-cell clones from HeLa cell lines, we characterize deleterious mutations that retard the rate of cell proliferation. The main mutation events are copy number variations (CNVs), which, estimated from fitness data, happen at a rate of 0.29 event per cell division on average. The mean fitness reduction, estimated reaching 18% per mutation, is very high. HeLa cell populations therefore have very substantial genetic load and, at this level, natural population would likely face mutational meltdown. We suspect that HeLa cell populations may avoid extinction only after the population size becomes large enough. Because CNVs are common in most cell lines and tumor tissues, the observations hint at cancer cells' vulnerability, which could be exploited by therapeutic strategies.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  HeLa cell line; Muller's ratchet; copy number variation; genetic load

Mesh:

Year:  2019        PMID: 30649444     DOI: 10.1093/molbev/msy231

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  5 in total

1.  Pervasive lesion segregation shapes cancer genome evolution.

Authors:  Craig J Anderson; Frances Connor; Sarah J Aitken; Oriol Pich; Vasavi Sundaram; Christine Feig; Tim F Rayner; Margus Lukk; Stuart Aitken; Juliet Luft; Elissavet Kentepozidou; Claudia Arnedo-Pac; Sjoerd V Beentjes; Susan E Davies; Ruben M Drews; Ailith Ewing; Vera B Kaiser; Ava Khamseh; Erika López-Arribillaga; Aisling M Redmond; Javier Santoyo-Lopez; Inés Sentís; Lana Talmane; Andrew D Yates; Colin A Semple; Núria López-Bigas; Paul Flicek; Duncan T Odom; Martin S Taylor
Journal:  Nature       Date:  2020-06-24       Impact factor: 49.962

2.  Optimizing the evaluation of gene-targeted panels for tumor mutational burden estimation.

Authors:  Yawei Li; Yuan Luo
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

3.  Oncogenic Viruses as Entropic Drivers of Cancer Evolution.

Authors:  Italo Tempera; Paul M Lieberman
Journal:  Front Virol       Date:  2021-11-15

4.  Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.

Authors:  Yawei Li; Yuan Luo
Journal:  Quant Biol       Date:  2020-12-07

Review 5.  Imposed mutational meltdown as an antiviral strategy.

Authors:  Jeffrey D Jensen; Ryan A Stikeleather; Timothy F Kowalik; Michael Lynch
Journal:  Evolution       Date:  2020-10-27       Impact factor: 3.694

  5 in total

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