Evidence map›Paper›PMID 42328694›Full record

ReviewEvolutionary applications2026

Integrative Advances in Equine Genomics From Reference Assemblies to Evolutionary History and Key Traits.

Ying Lu, Ruoshan Ma, Bo Wang, Jiao Wu, Yuqing Chong, Zhendong Gao, Weidong Deng

Abstract readReview
In one paragraph

Review in Evolutionary applications, 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

7 authors.

Ying LuFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.ORCID https://orcid.org/0009-0002-6056-3246
Ruoshan MaFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.
Bo WangFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.
Jiao WuFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.
Yuqing ChongFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.
Zhendong GaoFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.
Weidong DengFaculty of Animal Science and Technology Yunnan Agricultural University Kunming China.ORCID https://orcid.org/0000-0002-9620-2082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horses are major domestic animals and cultural symbols that have accompanied humans for millennia. They underpin transport, agriculture, warfare and sport, and also provide a model for studying domestication, complex traits and adaptive evolution. Recent work in equine genomics has now generated a much richer picture of how these roles are grounded in the genome. This review brings together advances in several connected areas: the construction and refinement of reference assemblies; genomic reconstructions of origin, domestication and dispersal; global and regional patterns of genetic diversity; and the molecular basis of key traits such as athletic performance, coat colour, body size, environmental adaptation and inherited myopathies. The transition from EquCab1.0/2.0 to EquCab3.0 and a complete Y-chromosome sequence illustrates how long-read and Hi-C/T2T data improve genome completeness and the representation of complex regions. On this foundation, high-coverage resequencing of ancient and modern horses has clarified the geographical core of domestication in the Volga-Don region, the Bronze Age replacement of earlier domestic lineages and the long-term impact of human management on behaviour, conformation and mobility. Comparative analyses of mitochondrial DNA, Y-chromosomal haplotypes and autosomal runs of homozygosity further reveal a combination of diverse maternal lineages, highly constrained paternal lineages and breed-specific inbreeding histories. Against this background, studies of representative traits show how association signals, functional experiments and clinical evidence can be linked to practical tools for breeding and health management, for example through

Indexed as

genetic diversityhorse genomekey traitsorigin and evolutionreference assembly

Identifiers

PMID42328694
PMCPMC13276278

What OpenQuestion holds

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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.