Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton

Abstract Most organisms have finite life spans. The maximum life span of mammals, for example, is at most some years, decades, or centuries. Why not thousands of years or more? Can we explain and predict maximum life spans theoretically, based on other traits of organisms and associated ecological c...

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Main Author: Jussi Lehtonen
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:Evolution Letters
Subjects:
Online Access:https://doi.org/10.1002/evl3.173
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spelling doaj-6bf9b1ad95c0429d845f933ea1282bdb2020-11-25T03:52:44ZengWileyEvolution Letters2056-37442020-08-014438239310.1002/evl3.173Longevity and the drift barrier: Bridging the gap between Medawar and HamiltonJussi Lehtonen0Faculty of Science School of Life and Environmental Sciences The University of Sydney Sydney NSW 2006 AustraliaAbstract Most organisms have finite life spans. The maximum life span of mammals, for example, is at most some years, decades, or centuries. Why not thousands of years or more? Can we explain and predict maximum life spans theoretically, based on other traits of organisms and associated ecological constraints? Existing theory provides reasons for the prevalence of ageing, but making explicit quantitative predictions of life spans is difficult. Here, I show that there are important unappreciated differences between two backbones of the theory of senescence: Peter Medawar's verbal model, and William Hamilton's subsequent mathematical model. I construct a mathematical model corresponding more closely to Medawar's verbal description, incorporating mutations of large effect and finite population size. In this model, the drift barrier provides a standard by which the limits of natural selection on age‐specific mutations can be measured. The resulting model reveals an approximate quantitative explanation for typical maximum life spans. Although maximum life span is expected to increase with population size, it does so extremely slowly, so that even the largest populations imaginable have limited ability to maintain long life spans. Extreme life spans that are observed in some organisms are explicable when indefinite growth or clonal reproduction is included in the model.https://doi.org/10.1002/evl3.173Evolution of ageinggenetic driftsenescencetheory
collection DOAJ
language English
format Article
sources DOAJ
author Jussi Lehtonen
spellingShingle Jussi Lehtonen
Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
Evolution Letters
Evolution of ageing
genetic drift
senescence
theory
author_facet Jussi Lehtonen
author_sort Jussi Lehtonen
title Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
title_short Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
title_full Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
title_fullStr Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
title_full_unstemmed Longevity and the drift barrier: Bridging the gap between Medawar and Hamilton
title_sort longevity and the drift barrier: bridging the gap between medawar and hamilton
publisher Wiley
series Evolution Letters
issn 2056-3744
publishDate 2020-08-01
description Abstract Most organisms have finite life spans. The maximum life span of mammals, for example, is at most some years, decades, or centuries. Why not thousands of years or more? Can we explain and predict maximum life spans theoretically, based on other traits of organisms and associated ecological constraints? Existing theory provides reasons for the prevalence of ageing, but making explicit quantitative predictions of life spans is difficult. Here, I show that there are important unappreciated differences between two backbones of the theory of senescence: Peter Medawar's verbal model, and William Hamilton's subsequent mathematical model. I construct a mathematical model corresponding more closely to Medawar's verbal description, incorporating mutations of large effect and finite population size. In this model, the drift barrier provides a standard by which the limits of natural selection on age‐specific mutations can be measured. The resulting model reveals an approximate quantitative explanation for typical maximum life spans. Although maximum life span is expected to increase with population size, it does so extremely slowly, so that even the largest populations imaginable have limited ability to maintain long life spans. Extreme life spans that are observed in some organisms are explicable when indefinite growth or clonal reproduction is included in the model.
topic Evolution of ageing
genetic drift
senescence
theory
url https://doi.org/10.1002/evl3.173
work_keys_str_mv AT jussilehtonen longevityandthedriftbarrierbridgingthegapbetweenmedawarandhamilton
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