Evidence map›Paper›PMID 42559133›Full record

ReviewEcology and evolution2026

Twenty-Year Progress in Landscape Genetics of Tetrapods.

Tongtong Gu, Xing Jia, Yuxin He, Zixin Lin

Abstract readReview
In one paragraph

Review in Ecology and evolution, 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

4 authors.

Tongtong GuSchool of Life Sciences Yunnan Normal University Kunming China.ORCID https://orcid.org/0009-0007-6017-0393
Xing JiaSchool of Life Sciences Yunnan Normal University Kunming China.
Yuxin HeState Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences Yunnan University Kunming China.
Zixin LinSchool of Life Sciences Yunnan Normal University Kunming China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landscape genetics, an interdisciplinary field integrating population genetics, landscape ecology, and spatial analytical techniques, has progressed significantly over two decades, yet systematic reviews of its application to tetrapods remain limited. Here, we review 385 studies published between 2003 and 2025, covering 434 species across eight geographic regions, to assess taxonomic and geographic bias, common research questions, analytical approaches, and key environmental drivers of genetic variation. Our results show that Anura and Passeriformes are the most frequently studied groups, while threatened species were particularly poorly represented. North America dominates geographically, followed by Europe, while Asia, South America, Africa, and Oceania remain poorly sampled. Most studies investigate genetic connectivity and population structure, frequently employing Mantel tests, AMOVA, and STRUCTURE, although recent work increasingly applies SNP-based genomic tools to detect both neutral and adaptive variation. Habitat permeability, topography, and artificial landscapes consistently influence genetic variation. These findings emphasize the need for expanded research across diverse tetrapod taxa and ecosystems, with particular attention to threatened species and populations, better integration of genomic and ecological data, and stronger connections to conservation planning to preserve genetic connectivity and diversity in rapidly changing landscapes.

Indexed as

conservationfunctional connectivitygenomicslandscape geneticspopulation structuretetrapods

Identifiers

PMID42559133
PMCPMC13439634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.