Evidence map›Paper›PMID 41626739›Full record

ArticleThe Journal of heredity2026

Genomic erosion in the assessment of species' extinction risk and recovery potential.

Cock van Oosterhout, Samuel A Speak, Thomas Birley, Lewis W G Hitchings, Chiara Bortoluzzi, Lawrence Percival-Alwyn, Lara Urban, Jim J Groombridge, Gernot Segelbacher, Hernán E Morales

Abstract read
In one paragraph

Article in The Journal of heredity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

10 authors.

Cock van OosterhoutSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.ORCID 0000-0002-5653-738X
Samuel A SpeakSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.ORCID 0000-0002-4207-7562
Thomas BirleySchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.ORCID 0009-0007-4462-9897
Lewis W G HitchingsSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
Chiara BortoluzziSIB Swiss Institute of Bioinformatics Amphipôle Quartier UNIL-Sorge, Lausanne 1015, Switzerland.ORCID 0000-0001-6589-6635
Lawrence Percival-AlwynNational Institute of Agricultural Botany (NIAB), Cambridge, United Kingdom.ORCID 0000-0001-7725-9203
Lara UrbanInstitute for Food Safety and Hygiene University of Zurich, Winterthurerstrasse 272, Zürich 8057, Switzerland.ORCID 0000-0002-5445-9314
Jim J GroombridgeDurrell Institute of Conservation and Ecology, School of Natural Sciences, University of Kent, Canterbury, United Kingdom.ORCID 0000-0002-6941-8187
Gernot SegelbacherWildlife Ecology and Management, University Freiburg, Freiburg im Breisgau, Germany.ORCID 0000-0002-8024-7008
Hernán E MoralesGlobe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-2964-020X

Funding

BBSRC BB/M011216/1Earth and Life Systems AllianceEuropean Research Council ERODE: 101078303NERC ARIES PhD studentship T209447Norwich Research Park, UKResearch England's Expanding Excellence in England (E3) FundRoyal Society International Collaboration Award ICA\R1\201194Swedish Research Council for Sustainable Development 2022-00536UEA and a Research Training Support Grant 100162318RA1UK Research and InnovationWellcome WT207492Wellcome Trust
6 · The paper itself

Abstract

Many species are undergoing rapid population declines and environmental deterioration, leading to genomic erosion. Here we define genomic erosion as the loss of genetic diversity, accumulation of deleterious mutations, maladaptation, and introgression, all of which can undermine individual fitness and long-term population viability. Critically, this process continues even after demographic recovery due to a time-lagged impact of genetic drift, which is known as drift debt. Current conservation assessments, such as the International Union for Conservation of Nature Red List, focus on short-term extinction risk and do not capture the long-term consequences of genomic erosion. Likewise, the longer-term assessments of the International Union for Conservation of Nature Green Status may overestimate population recovery by failing to account for the enduring effects of genomic erosion. As genome sequencing becomes increasingly accessible, there is a growing opportunity to quantify genomic erosion and integrate it into conservation planning. Here, we use genomic simulations to illustrate how different genomic metrics are sensitive to the drift debt. We test how ancestral effective population size (Ne) and bottleneck history influence the tempo and severity of genomic erosion. Furthermore, we demonstrate how these dynamics shape genetic load and additive genetic variation, which are key indicators of long-term evolutionary potential. Finally, we present a proof-of-concept for a Genomic Green Status framework that aligns genomic metrics with conservation impact assessments, laying the foundation for genomics-informed strategies to support species recovery.

Indexed as

Extinction, BiologicalGenetics, PopulationGenomicsAnimalsConservation of Natural ResourcesGenetic DriftGenetic VariationModels, GeneticPopulation Densitybiodiversityconservationextinctiongenomic erosiongenomics

Identifiers

PMID41626739
PMCPMC13539449

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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.