Evidence map›Paper›PMID 41904331›Full record

ArticleHeredity2026

The relationship between genomic variation and genetic load: insights from small island populations.

Maëva Gabrielli, Andrea Benazzo, Roberto Biello, Alessio Iannucci, Daniele Salvi, Gentile Francesco Ficetola, Claudio Ciofi, Emiliano Trucchi, Giorgio Bertorelle

Abstract read
In one paragraph

Article in Heredity, 2026. 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

9 authors.

Maëva GabrielliDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy. maeva.gab@hotmail.fr.ORCID 0000-0002-6507-7215
Andrea BenazzoDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-3434-2979
Roberto BielloDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-5916-884X
Alessio IannucciDepartment of Biology, University of Florence, Sesto Fiorentino, Italy.ORCID 0000-0001-7729-4412
Daniele SalviDepartment of Health, Life & Environmental Sciences - University of L'Aquila, L'Aquila, Italy.ORCID 0000-0002-3804-2690
Gentile Francesco FicetolaDepartment of Environmental Sciences and Policy, University of Milan, Milan, Italy.ORCID 0000-0003-3414-5155
Claudio CiofiDepartment of Biology, University of Florence, Sesto Fiorentino, Italy.ORCID 0000-0001-8537-8659
Emiliano TrucchiDepartment of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy.ORCID 0000-0002-1270-5273
Giorgio BertorelleDepartment of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy. ggb@unife.it.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) 201794ZXTL
6 · The paper itself

Abstract

Small populations face high extinction risks. This can be explained by several non-genetic and genetic factors, the latter including the loss of genetic diversity and evolutionary potential, as well as the accumulation of harmful mutations (genetic load). Using whole-genome data from island populations with different effective sizes, we estimated genetic variation and load and explored the relationship between these quantities. An extremely small population of the Aeolian wall lizard, Podarcis raffonei, likely isolated for tens of thousands of years, shows the lowest genome-wide heterozygosity observed in wild eukaryotes (one polymorphic site every 300 kb on average). Despite this, its realized genetic load is comparable to that observed in another larger and more genetically variable population. Both populations have lower variation and higher load than the much more abundant sister species, the Sicilian wall lizard. These observations are consistent with the hypothesis that populations experiencing severe bottlenecks may persist for extended periods with extremely low genomic variation, provided that their burden of deleterious mutations remains within tolerable bounds.

Indexed as

Genetic LoadGenetics, PopulationGenetic VariationGenomeLizardsAnimalsHeterozygoteIslandsMutation

Identifiers

PMID41904331
PMCPMC13219662

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.