Evidence map›Paper›PMID 41007912›Full record

ArticleAnimals : an open access journal from MDPI2025

Uncovering Genetic Diversity and Adaptive Candidate Genes in the Mugalzhar Horse Breed Using Whole-Genome Sequencing Data.

Shinara N Kassymbekova, Zhanat Z Bimenova, Kairat Z Iskhan, Przemyslaw Sobiech, Jan P Jastrzebski, Pawel Brym, Wiktor Babis, Assem S Kalykova, Zhassulan M Otebayev, Dinara I Kabylbekova and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

12 authors.

Shinara N KassymbekovaDepartment of Clinical Disciplines, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.
Zhanat Z BimenovaDepartment of Clinical Disciplines, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.
Kairat Z IskhanDepartment of Animal Biology Named after N.U. Bazanova, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.
Przemyslaw SobiechDepartment and Clinic of Internal Diseases, Faculty of Veterinary Medicine, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.
Jan P JastrzebskiDepartment of Plant Physiology Genetics and Biotechnology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.ORCID 0000-0001-8699-7742
Pawel BrymDepartment of Animal Genetics, Faculty of Animal Bioengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.ORCID 0000-0002-1896-7610
Wiktor BabisEcology and Genetics, Faculty of Science, University of Oulu, 90520 Oulu, Finland.ORCID 0009-0006-3648-3413
Assem S KalykovaDepartment of Clinical Disciplines, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.ORCID 0000-0002-7699-4561
Zhassulan M OtebayevDepartment of Animal Biology Named after N.U. Bazanova, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.ORCID 0000-0003-4201-7743
Dinara I KabylbekovaDepartment of Clinical Disciplines, Faculty of Veterinary and Zooengineering, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.
Hasan BanehProject Center for Agro Technologies, Skolkovo Institute of Science and Technology (Skoltech), Moscow 121205, Russia.
Michael N RomanovSchool of Natural Sciences, University of Kent, Canterbury CT2 7NJ, UK.ORCID 0000-0003-3584-4644

Funding

Ministry Education and Science of the Republic of Kazakhstan AP19677892
6 · The paper itself

Abstract

Mugalzhar horses are a relatively young native breed of Kazakhstan, prized for meat and milk production and adaptation. This study was conducted to investigate genetic diversity and pinpoint genomic regions associated with selection signatures in this breed using whole-genome sequence data. Variant calling yielded a total of 21,722,393 high-quality variants, including 19,495,163 SNPs and 2,227,230 indels. Most variants were located in introns and intergenic regions, while only 1.94% were exonic. Estimates of genetic diversity were moderate, with expected and observed heterozygosity and nucleotide diversity of 0.2325, 0.2402, and 0.0021, respectively. We identified nine adaptive candidate genes (

Indexed as

adaptationinbreedingMugalzhar horsesingle nucleotide polymorphisms (SNPs)whole-genome sequencing (WGS)

Identifiers

PMID41007912
PMCPMC12466398

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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.