期刊
EVOLUTION
卷 76, 期 11, 页码 2482-2497出版社
OXFORD UNIV PRESS
DOI: 10.1111/evo.14620
关键词
Dispersal; genetic load; genetic stochasticity; inbreeding; metapopulation dynamics; mutational meltdown
资金
- University of Aberdeen
- Royal Society University Research Fellowship [UF160614]
- NTNU
- Centre for Biodiversity Dynamics (NFR) [223257]
Understanding how genetic and ecological effects interact to shape genetic loads is crucial for understanding the ongoing persistence of systems that should be susceptible to extinction. Our hypothesis suggests that genetic stochasticity and evolving dispersal can facilitate metapopulation persistence by causing fluctuations in metapopulation size and transient gene flow. This mechanism provides an explanation for the continued existence of structured populations with inbreeding mating systems in diverse taxa.
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.
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