Cargando…
Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras
SIMPLE SUMMARY: This article aims to develop a new approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405194/ https://www.ncbi.nlm.nih.gov/pubmed/36009718 http://dx.doi.org/10.3390/ani12162128 |
_version_ | 1784773821005299712 |
---|---|
author | Ruchay, Alexey Kolpakov, Vladimir Kosyan, Dianna Rusakova, Elena Dorofeev, Konstantin Guo, Hao Ferrari, Giovanni Pezzuolo, Andrea |
author_facet | Ruchay, Alexey Kolpakov, Vladimir Kosyan, Dianna Rusakova, Elena Dorofeev, Konstantin Guo, Hao Ferrari, Giovanni Pezzuolo, Andrea |
author_sort | Ruchay, Alexey |
collection | PubMed |
description | SIMPLE SUMMARY: This article aims to develop a new approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals. Genome-wide associations analysis revealed the following potential loci of quantitative traits on cattle chromosomes for chest width, chest girth, and meat output on bones. ABSTRACT: In beef cattle breeding, genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) arrays can reveal many loci of various production traits, such as growth, productivity, and meat quality. With the development of genome sequencing technologies, new opportunities are opening up for more accurate identification of areas associated with these traits. This article aims to develop a novel approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The purpose of this study was to identify significant variants underlying differences in the qualitative characteristics of meat, using imputed data on the sequence of the entire genome. Samples of biomaterial of young Aberdeen-Angus breed cattle (n = 96) were the material for carrying out genome-wide SNP genotyping. Genotyping was performed using a high-density DNA chip Bovine GPU HD BeadChip (Illumina Inc., San Diego, CA, USA), containing ~150 thousand SNPs. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals. |
format | Online Article Text |
id | pubmed-9405194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94051942022-08-26 Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras Ruchay, Alexey Kolpakov, Vladimir Kosyan, Dianna Rusakova, Elena Dorofeev, Konstantin Guo, Hao Ferrari, Giovanni Pezzuolo, Andrea Animals (Basel) Article SIMPLE SUMMARY: This article aims to develop a new approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals. Genome-wide associations analysis revealed the following potential loci of quantitative traits on cattle chromosomes for chest width, chest girth, and meat output on bones. ABSTRACT: In beef cattle breeding, genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) arrays can reveal many loci of various production traits, such as growth, productivity, and meat quality. With the development of genome sequencing technologies, new opportunities are opening up for more accurate identification of areas associated with these traits. This article aims to develop a novel approach to the lifetime evaluation of cattle by 3-D visualization of economic-biological and genetic features. The purpose of this study was to identify significant variants underlying differences in the qualitative characteristics of meat, using imputed data on the sequence of the entire genome. Samples of biomaterial of young Aberdeen-Angus breed cattle (n = 96) were the material for carrying out genome-wide SNP genotyping. Genotyping was performed using a high-density DNA chip Bovine GPU HD BeadChip (Illumina Inc., San Diego, CA, USA), containing ~150 thousand SNPs. The following indicators were selected as phenotypic features: chest width and chest girth retrieved by 3-D model and meat output on the bones. Correlation analysis showed a reliable positive relationship between chest width and meat output on the bones, which can potentially be used for lifetime evaluation of meat productivity of animals. MDPI 2022-08-19 /pmc/articles/PMC9405194/ /pubmed/36009718 http://dx.doi.org/10.3390/ani12162128 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ruchay, Alexey Kolpakov, Vladimir Kosyan, Dianna Rusakova, Elena Dorofeev, Konstantin Guo, Hao Ferrari, Giovanni Pezzuolo, Andrea Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title | Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title_full | Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title_fullStr | Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title_full_unstemmed | Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title_short | Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras |
title_sort | genome-wide associative study of phenotypic parameters of the 3d body model of aberdeen angus cattle with multiple depth cameras |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405194/ https://www.ncbi.nlm.nih.gov/pubmed/36009718 http://dx.doi.org/10.3390/ani12162128 |
work_keys_str_mv | AT ruchayalexey genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT kolpakovvladimir genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT kosyandianna genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT rusakovaelena genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT dorofeevkonstantin genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT guohao genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT ferrarigiovanni genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras AT pezzuoloandrea genomewideassociativestudyofphenotypicparametersofthe3dbodymodelofaberdeenanguscattlewithmultipledepthcameras |