Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle
The use of GWASs in agriculture allows associations between SNPs and quantitative or qualitative traits in cattle to be estimated. This study investigated the relationships among a number of economically useful carcass traits (slaughter weight, meat yield, and meat marbling) with a group of SNPs tha...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Animals |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-2615/15/2/155 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832589353991274496 |
---|---|
author | Vladimir Kolpakov Elena Bukareva Dianna Kosyan Alexey Ruchay Vitaly Ryazanov |
author_facet | Vladimir Kolpakov Elena Bukareva Dianna Kosyan Alexey Ruchay Vitaly Ryazanov |
author_sort | Vladimir Kolpakov |
collection | DOAJ |
description | The use of GWASs in agriculture allows associations between SNPs and quantitative or qualitative traits in cattle to be estimated. This study investigated the relationships among a number of economically useful carcass traits (slaughter weight, meat yield, and meat marbling) with a group of SNPs that can act as DNA markers. Blood samples from Aberdeen Angus bulls (n = 260) were used as material for SNP genotyping. Genetic architecture for the kill yield trait showed the presence of 31 SNPs. Three SNPs were found to be the most reliable: BTB-00197584 (<i>p</i> = 7.20 × 10<sup>−5</sup>), Hapmap46735-BTA-86653 (<i>p</i> = 5.05 × 10<sup>−5</sup>), and BTB-00676077 (<i>p</i> = 7.02 × 10<sup>−5</sup>). There were 10 SNPs associated with meat yield. For meat yield, 7 SNPs were identified, four of them exceeding the threshold of established validity: ARS-BFGL-NGS-30557 (<i>p</i> = 1.28 × 10<sup>−12</sup>), ARS-BFGL-NGS-68920, ARS-BFGL-NGS-30466 on chromosome 8 (<i>p</i> = 1.20 × 10<sup>−6</sup> and 3.03 × 10<sup>−6</sup>, respectively) and ARS-BFGL-NGS-40640 (<i>p</i> = 7.10 × 10<sup>−6</sup>). For marbling, 11 SNPs were identified on 6 of 29 chromosomes. These SNPs can act as potential markers for productivity assessment in cattle. |
format | Article |
id | doaj-art-be22f68ffcb64a9fbeab919f10637bed |
institution | Kabale University |
issn | 2076-2615 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Animals |
spelling | doaj-art-be22f68ffcb64a9fbeab919f10637bed2025-01-24T13:17:47ZengMDPI AGAnimals2076-26152025-01-0115215510.3390/ani15020155Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus CattleVladimir Kolpakov0Elena Bukareva1Dianna Kosyan2Alexey Ruchay3Vitaly Ryazanov4Federal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, RussiaFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, RussiaFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, RussiaFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, RussiaFederal Research Centre of Biological Systems and Agro-Technologies, Russian Academy of Sciences, 460000 Orenburg, RussiaThe use of GWASs in agriculture allows associations between SNPs and quantitative or qualitative traits in cattle to be estimated. This study investigated the relationships among a number of economically useful carcass traits (slaughter weight, meat yield, and meat marbling) with a group of SNPs that can act as DNA markers. Blood samples from Aberdeen Angus bulls (n = 260) were used as material for SNP genotyping. Genetic architecture for the kill yield trait showed the presence of 31 SNPs. Three SNPs were found to be the most reliable: BTB-00197584 (<i>p</i> = 7.20 × 10<sup>−5</sup>), Hapmap46735-BTA-86653 (<i>p</i> = 5.05 × 10<sup>−5</sup>), and BTB-00676077 (<i>p</i> = 7.02 × 10<sup>−5</sup>). There were 10 SNPs associated with meat yield. For meat yield, 7 SNPs were identified, four of them exceeding the threshold of established validity: ARS-BFGL-NGS-30557 (<i>p</i> = 1.28 × 10<sup>−12</sup>), ARS-BFGL-NGS-68920, ARS-BFGL-NGS-30466 on chromosome 8 (<i>p</i> = 1.20 × 10<sup>−6</sup> and 3.03 × 10<sup>−6</sup>, respectively) and ARS-BFGL-NGS-40640 (<i>p</i> = 7.10 × 10<sup>−6</sup>). For marbling, 11 SNPs were identified on 6 of 29 chromosomes. These SNPs can act as potential markers for productivity assessment in cattle.https://www.mdpi.com/2076-2615/15/2/155cattleAberdeen Angus breedgenomic architecturegenome-wide associative studiesproactive qualities |
spellingShingle | Vladimir Kolpakov Elena Bukareva Dianna Kosyan Alexey Ruchay Vitaly Ryazanov Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle Animals cattle Aberdeen Angus breed genomic architecture genome-wide associative studies proactive qualities |
title | Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle |
title_full | Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle |
title_fullStr | Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle |
title_full_unstemmed | Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle |
title_short | Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle |
title_sort | identification of candidate genes associated with meat production of aberdeen angus cattle |
topic | cattle Aberdeen Angus breed genomic architecture genome-wide associative studies proactive qualities |
url | https://www.mdpi.com/2076-2615/15/2/155 |
work_keys_str_mv | AT vladimirkolpakov identificationofcandidategenesassociatedwithmeatproductionofaberdeenanguscattle AT elenabukareva identificationofcandidategenesassociatedwithmeatproductionofaberdeenanguscattle AT diannakosyan identificationofcandidategenesassociatedwithmeatproductionofaberdeenanguscattle AT alexeyruchay identificationofcandidategenesassociatedwithmeatproductionofaberdeenanguscattle AT vitalyryazanov identificationofcandidategenesassociatedwithmeatproductionofaberdeenanguscattle |