Evidence map›Paper›PMID 36117269›Full record

ArticleEvolution; international journal of organic evolution2022

Eco-evolutionary extinction and recolonization dynamics reduce genetic load and increase time to extinction in highly inbred populations.

Anders P Charmouh, Jane M Reid, Trine Bilde, Greta Bocedi

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anders P CharmouhSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.ORCID 0000-0001-9573-184X
Jane M ReidSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.ORCID 0000-0002-5007-7343
Trine BildeDepartment of Biology, Aarhus University, Aarhus C, 8000, Denmark.ORCID 0000-0002-0341-161X
Greta BocediSchool of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.ORCID 0000-0002-9131-6670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 inbreeding mating systems that occur in diverse taxa.

Indexed as

Genetic LoadModels, BiologicalBiological EvolutionEcosystemPopulation DynamicsDispersalgenetic loadgenetic stochasticityinbreedingmetapopulation dynamicsmutational meltdown

Identifiers

PMID36117269
PMCPMC9828521

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.