Abstract
Our ability to assess the threat posed by the genetic load to small and declining populations has been greatly improved by advances in genome sequencing and computational approaches. Yet, considerable confusion remains around the definitions of the genetic load and its dynamics, and how they impact individual fitness and population viability. We illustrate how both selective purging and drift affect the distribution of deleterious mutations during population size decline and recovery. We show how this impacts the composition of the genetic load, and how this affects the extinction risk and recovery potential of populations. We propose a framework to examine load dynamics and advocate for the introduction of load estimates in the management of endangered populations.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Trends in Ecology and Evolution |
Vol/bind | 38 |
Udgave nummer | 10 |
Sider (fra-til) | 961-969 |
Antal sider | 9 |
ISSN | 0169-5347 |
DOI | |
Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:The authors acknowledge funding from Carl Tryggers Foundation (Grant CTS 19: 257 ; to N.D.), the European Union’s Horizon 2020 research and innovation programme under a Marie Skłodowska-Curie grant ( 840519 ; to H.E.M), the Swiss National Science Foundation (grant 31003A_182343 ; to C.G.), and the Swedish Research Council (grant nr 2021-00625 ; to L.D.). The code used for simulations ( Figure 3 ) has been deposited at: https://github.com/hmoral/purging .
Funding Information:
The authors acknowledge funding from Carl Tryggers Foundation (Grant CTS 19: 257; to N.D.), the European Union's Horizon 2020 research and innovation programme under a Marie Skłodowska-Curie grant (840519; to H.E.M), the Swiss National Science Foundation (grant 31003A_182343; to C.G.), and the Swedish Research Council (grant nr 2021-00625; to L.D.). The code used for simulations (Figure 3) has been deposited at: https://github.com/hmoral/purging. No interests are declared.
Publisher Copyright:
© 2023 The Authors