Evidence map›Paper›PMID 41595421›Full record

ArticleGenes2025

Gene-Polymorphism Effects on Growth Efficiency in the Kalmyk Breed of Central Asia.

Nurlybay Kazhgaliyev, Kaster Nurgulsim, Miras Gabbassov, Aizhan Makhanbetova, Assylbek Zhanabayev, Ascar Terlikbayev, Tolegen Assanbayev, Maxat Toishimanov, Tlekbol Sharapatov

Abstract read
In one paragraph

Article in Genes, 2025. 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.

Nurlybay KazhgaliyevFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Kaster NurgulsimFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Miras GabbassovFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Aizhan MakhanbetovaFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Assylbek ZhanabayevFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Ascar TerlikbayevFaculty of Veterinary and Animal Husbandry Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis Avenue, 62, Astana 010011, Kazakhstan.
Tolegen AssanbayevZootechnology and Veterinary Medicine, Faculty of Agriculture Science, Toraighyrov University, Lomov 64, Pavlodar 140008, Kazakhstan.
Maxat ToishimanovFood and Environment Safety Laboratory, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan.ORCID 0000-0002-6070-4574
Tlekbol SharapatovZootechnology and Veterinary Medicine, Faculty of Agriculture Science, Toraighyrov University, Lomov 64, Pavlodar 140008, Kazakhstan.ORCID 0000-0002-5177-4001

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan AP23488071
6 · The paper itself

Abstract

BACKGROUND/

objectivesUnderstanding the genetic basis of growth and fat deposition is crucial for improving beef productivity in Kalmyk cattle, a breed well adapted to the extreme climatic conditions of Kazakhstan. The present study aimed to determine the effects of single-nucleotide polymorphisms (SNPs) in the CRTC2 and ELOVL6 genes on intramuscular fat content and to evaluate their associations with growth and meat quality traits in 18-month-old Kalmyk heifers raised under different environmental conditions.

methodsA total of 400 clinically healthy Kalmyk heifers (200 from LLP "Qazaq Asyldary" and 200 from LLP "Agrofirma Turikpen") were examined. All animals originated from closed breeding herds, and only unrelated individuals without common ancestors to the third generation were included. Zootechnical measurements- live weight, withers height, chest depth, chest girth, and body length-were performed twice by a trained specialist. Backfat thickness and musculus longissimus dorsi depth were measured postmortem. Blood samples were collected for genomic DNA extraction using the GeneJET purification kit, and DNA quality was assessed by Nanodrop, Qubit, and agarose gel electrophoresis. Target fragments of CRTC2 and ELOVL6 were amplified (150-200 bp) and sequenced on an ABI 3500 system. SNP identification, allele frequencies, and genotyping were performed by alignment to the Bos taurus ARS-UCD1.2 reference genome. Statistical analyses were conducted in RStudio using linear and mixed models with "farm" as a random effect.

resultsOnly one informative polymorphism, g.133528A>G in ELOVL6, was detected. Three genotypes (AA, AG, GG) were observed, with the heterozygous AG genotype showing significantly higher live weight, greater body length, and improved linear measurements compared to AA and GG. No significant associations were detected with backfat thickness or muscle depth. The g.133528A>G polymorphism in ELOVL6 positively influences growth traits without increasing fatness, aligning with the naturally lean phenotype of Kalmyk cattle.

conclusionsThe AG genotype may serve as a promising marker for selecting faster-growing animals in marker-assisted breeding programs.

Indexed as

Fatty Acid ElongasesPolymorphism, Single NucleotideTranscription FactorsAcetyltransferasesAnimalsBreedingCattleFemaleGenotypeMeatAcetyltransferasesFatty Acid ElongasesTranscription FactorsCRTC2 geneELOVL6 genegenetic markersgenotypegrowth traitsKalmyk cattlemeat qualityselective breedingsingle nucleotide polymorphism

Identifiers

PMID41595421
PMCPMC12841172

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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.