Meritxell Brunet Guasch, P L Krapivsky, Tibor Antal
{"title":"Error-induced extinction in a multi-type critical birth-death process.","authors":"Meritxell Brunet Guasch, P L Krapivsky, Tibor Antal","doi":"10.1007/s00285-024-02134-4","DOIUrl":null,"url":null,"abstract":"<p><p>Extreme mutation rates in microbes and cancer cells can result in error-induced extinction (EEX), where every descendant cell eventually acquires a lethal mutation. In this work, we investigate critical birth-death processes with n distinct types as a birth-death model of EEX in a growing population. Each type-i cell divides independently <math><mrow><mo>(</mo> <mi>i</mi> <mo>)</mo> <mo>→</mo> <mo>(</mo> <mi>i</mi> <mo>)</mo> <mo>+</mo> <mo>(</mo> <mi>i</mi> <mo>)</mo></mrow> </math> or mutates <math><mrow><mo>(</mo> <mi>i</mi> <mo>)</mo> <mo>→</mo> <mo>(</mo> <mi>i</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo></mrow> </math> at the same rate. The total number of cells grows exponentially as a Yule process until a cell of type-n appears, which cell type can only divide or die at rate one. This makes the whole process critical and hence after the exponentially growing phase eventually all cells die with probability one. We present large-time asymptotic results for the general n-type critical birth-death process. We find that the mass function of the number of cells of type-k has algebraic and stationary tail <math> <msup><mrow><mo>(</mo> <mtext>size</mtext> <mo>)</mo></mrow> <mrow><mo>-</mo> <mn>1</mn> <mo>-</mo> <msub><mi>χ</mi> <mi>k</mi></msub> </mrow> </msup> </math> , with <math> <mrow><msub><mi>χ</mi> <mi>k</mi></msub> <mo>=</mo> <msup><mn>2</mn> <mrow><mn>1</mn> <mo>-</mo> <mi>k</mi></mrow> </msup> </mrow> </math> , for <math><mrow><mi>k</mi> <mo>=</mo> <mn>2</mn> <mo>,</mo> <mo>⋯</mo> <mo>,</mo> <mi>n</mi></mrow> </math> , in sharp contrast to the exponential tail of the first type. The same exponents describe the tail of the asymptotic survival probability <math> <msup><mrow><mo>(</mo> <mtext>time</mtext> <mo>)</mo></mrow> <mrow><mo>-</mo> <msub><mi>ξ</mi> <mi>k</mi></msub> </mrow> </msup> </math> . We present applications of the results for studying extinction due to intolerable mutation rates in biological populations.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"89 4","pages":"36"},"PeriodicalIF":2.2000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11369052/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Biology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00285-024-02134-4","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Extreme mutation rates in microbes and cancer cells can result in error-induced extinction (EEX), where every descendant cell eventually acquires a lethal mutation. In this work, we investigate critical birth-death processes with n distinct types as a birth-death model of EEX in a growing population. Each type-i cell divides independently or mutates at the same rate. The total number of cells grows exponentially as a Yule process until a cell of type-n appears, which cell type can only divide or die at rate one. This makes the whole process critical and hence after the exponentially growing phase eventually all cells die with probability one. We present large-time asymptotic results for the general n-type critical birth-death process. We find that the mass function of the number of cells of type-k has algebraic and stationary tail , with , for , in sharp contrast to the exponential tail of the first type. The same exponents describe the tail of the asymptotic survival probability . We present applications of the results for studying extinction due to intolerable mutation rates in biological populations.
期刊介绍:
The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena.
Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.