Evidence map›Paper›PMID 41562573›Full record

SynthesisThe Journal of heredity2026

A macrogenetic analysis of isolation mechanisms shaping genetic divergence in mammals.

Daniel A Hancock, Patrick Meirmans

Abstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of heredity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Daniel A HancockEvolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0009-0002-9541-2018
Patrick MeirmansEvolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-6395-8107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the processes that shape spatial genetic differentiation is essential for understanding how populations adapt to environmental change. By evaluating the influence of these processes, we can gain insights into evolutionary dynamics and the potential for species to respond to shifting landscapes. Three well-accepted processes that create spatial patterns in genetic variation are isolation-by-distance (IBD), where individuals are more genetically similar the closer they are geographically; isolation-by-environment (IBE), where gene flow is reduced due to selection against migrants in unsuitable ecological conditions; and isolation-by-resistance (IBR), where landscape features limit dispersal. We conducted a macrogenetic meta-analysis of single nucleotide polymorphism data to identify patterns shaping spatial genetic differentiation in 40 mammalian datasets globally. For each species, we built a species-distribution model and combined it with the global Human Footprint layer to create a composite resistance surface, revealing that habitat suitability and anthropogenic impact contribute roughly equally to resistance. Model selection tests found that IBR was the mechanism most frequently retained in the best models and had the highest variable importance. IBD and IBE alone had little effect but were often selected alongside IBR, suggesting that they may have secondary, context-dependent effects. However, the probability of finding IBD in the best model of divergence significantly increased as the number of populations sampled increased. Similarly, the probability of finding IBE increased with the spatial scale of the study. Our findings suggest that resistance is pervasive in shaping genetic variation in mammals worldwide, but that study design affects our ability to detect the presence of IBD and IBE.

Indexed as

Genetics, PopulationGenetic VariationMammalsAnimalsEcosystemGene FlowModels, GeneticPolymorphism, Single Nucleotideecological niche modelingisolation-by-distanceisolation-by-environmentisolation-by-resistancelandscape geneticspopulation structure

Identifiers

PMID41562573
PMCPMC13326407

What OpenQuestion holds

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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.