Eco‐evolutionary extinction and recolonization dynamics reduce genetic load and increase time to extinction in highly inbred populations. (28th September 2022)
- Record Type:
- Journal Article
- Title:
- Eco‐evolutionary extinction and recolonization dynamics reduce genetic load and increase time to extinction in highly inbred populations. (28th September 2022)
- Main Title:
- Eco‐evolutionary extinction and recolonization dynamics reduce genetic load and increase time to extinction in highly inbred populations
- Authors:
- Charmouh, Anders P.
Reid, Jane M.
Bilde, Trine
Bocedi, Greta - Abstract:
- Abstract: Understanding how genetic and ecological effects can interact to shape genetic loads within and across local populations is key to understanding ongoing persistence of systems that should otherwise be susceptible to extinction through mutational meltdown. Classic theory predicts short persistence times for metapopulations comprising small local populations with low connectivity, due to accumulation of deleterious mutations. Yet, some such systems have persisted over evolutionary time, implying the existence of mechanisms that allow metapopulations to avoid mutational meltdown. We first hypothesize a mechanism by which the combination of stochasticity in the numbers and types of mutations arising locally (genetic stochasticity), resulting local extinction, and recolonization through evolving dispersal facilitates metapopulation persistence. We then test this mechanism using a spatially and genetically explicit individual‐based model. We show that genetic stochasticity in highly structured metapopulations can result in local extinctions, which can favor increased dispersal, thus allowing recolonization of empty habitat patches. This causes fluctuations in metapopulation size and transient gene flow, which reduces genetic load and increases metapopulation persistence over evolutionary time. Our suggested mechanism and simulation results provide an explanation for the conundrum presented by the continued persistence of highly structured populations with inbreedingAbstract: Understanding how genetic and ecological effects can interact to shape genetic loads within and across local populations is key to understanding ongoing persistence of systems that should otherwise be susceptible to extinction through mutational meltdown. Classic theory predicts short persistence times for metapopulations comprising small local populations with low connectivity, due to accumulation of deleterious mutations. Yet, some such systems have persisted over evolutionary time, implying the existence of mechanisms that allow metapopulations to avoid mutational meltdown. We first hypothesize a mechanism by which the combination of stochasticity in the numbers and types of mutations arising locally (genetic stochasticity), resulting local extinction, and recolonization through evolving dispersal facilitates metapopulation persistence. We then test this mechanism using a spatially and genetically explicit individual‐based model. We show that genetic stochasticity in highly structured metapopulations can result in local extinctions, which can favor increased dispersal, thus allowing recolonization of empty habitat patches. This causes fluctuations in metapopulation size and transient gene flow, which reduces genetic load and increases metapopulation persistence over evolutionary time. Our suggested mechanism and simulation results provide an explanation for the conundrum presented by the continued persistence of highly structured populations with inbreeding mating systems that occur in diverse taxa. … (more)
- Is Part Of:
- Evolution. Volume 76:Number 11(2022)
- Journal:
- Evolution
- Issue:
- Volume 76:Number 11(2022)
- Issue Display:
- Volume 76, Issue 11 (2022)
- Year:
- 2022
- Volume:
- 76
- Issue:
- 11
- Issue Sort Value:
- 2022-0076-0011-0000
- Page Start:
- 2482
- Page End:
- 2497
- Publication Date:
- 2022-09-28
- Subjects:
- Dispersal -- genetic load -- genetic stochasticity -- inbreeding -- metapopulation dynamics -- mutational meltdown
Evolution -- Periodicals
Heredity -- Periodicals
Évolution (Biologie) -- Périodiques
Hérédité -- Périodiques
338.47004094 - Journal URLs:
- http://evol.allenpress.com/evolonline/?request=index-html ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1558-5646 ↗
http://www.jstor.org/journals/00143820.html ↗
http://www.bioone.org/bioone/?request=get-journals-list&issn=0014-3820 ↗
https://academic.oup.com/evolut ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0014-3820;screen=info;ECOIP ↗ - DOI:
- 10.1111/evo.14620 ↗
- Languages:
- English
- ISSNs:
- 0014-3820
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3834.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 24427.xml