Cargando…

Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle

BACKGROUND: Feed efficiency is one of the key determinants of beef industry profitability and sustainability. However, the cellular and molecular background behind feed efficiency is largely unknown. This study combines imputed whole genome DNA variants and 31 plasma metabolites to dissect genes and...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jiyuan, Mukiibi, Robert, Wang, Yining, Plastow, Graham S., Li, Changxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591823/
https://www.ncbi.nlm.nih.gov/pubmed/34781903
http://dx.doi.org/10.1186/s12864-021-08064-5
_version_ 1784599334805831680
author Li, Jiyuan
Mukiibi, Robert
Wang, Yining
Plastow, Graham S.
Li, Changxi
author_facet Li, Jiyuan
Mukiibi, Robert
Wang, Yining
Plastow, Graham S.
Li, Changxi
author_sort Li, Jiyuan
collection PubMed
description BACKGROUND: Feed efficiency is one of the key determinants of beef industry profitability and sustainability. However, the cellular and molecular background behind feed efficiency is largely unknown. This study combines imputed whole genome DNA variants and 31 plasma metabolites to dissect genes and biological functions/processes that are associated with residual feed intake (RFI) and its component traits including daily dry matter intake (DMI), average daily gain (ADG), and metabolic body weight (MWT) in beef cattle. RESULTS: Regression analyses between feed efficiency traits and plasma metabolites in a population of 493 crossbred beef cattle identified 5 (L-valine, lysine, L-tyrosine, L-isoleucine, and L-leucine), 4 (lysine, L-lactic acid, L-tyrosine, and choline), 1 (citric acid), and 4 (L-glutamine, glycine, citric acid, and dimethyl sulfone) plasma metabolites associated with RFI, DMI, ADG, and MWT (P-value < 0.1), respectively. Combining the results of metabolome-genome wide association studies using 10,488,742 imputed SNPs, 40, 66, 15, and 40 unique candidate genes were identified as associated with RFI, DMI, ADG, and MWT (P-value < 1 × 10(−5)), respectively. These candidate genes were found to be involved in some key metabolic processes including metabolism of lipids, molecular transportation, cellular function and maintenance, cell morphology and biochemistry of small molecules. CONCLUSIONS: This study identified metabolites, candidate genes and enriched biological functions/processes associated with RFI and its component traits through the integrative analyses of metabolites with phenotypic traits and DNA variants. Our findings could enhance the understanding of biochemical mechanisms of feed efficiency traits and could lead to improvement of genomic prediction accuracy via incorporating metabolite data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08064-5.
format Online
Article
Text
id pubmed-8591823
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-85918232021-11-15 Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle Li, Jiyuan Mukiibi, Robert Wang, Yining Plastow, Graham S. Li, Changxi BMC Genomics Research BACKGROUND: Feed efficiency is one of the key determinants of beef industry profitability and sustainability. However, the cellular and molecular background behind feed efficiency is largely unknown. This study combines imputed whole genome DNA variants and 31 plasma metabolites to dissect genes and biological functions/processes that are associated with residual feed intake (RFI) and its component traits including daily dry matter intake (DMI), average daily gain (ADG), and metabolic body weight (MWT) in beef cattle. RESULTS: Regression analyses between feed efficiency traits and plasma metabolites in a population of 493 crossbred beef cattle identified 5 (L-valine, lysine, L-tyrosine, L-isoleucine, and L-leucine), 4 (lysine, L-lactic acid, L-tyrosine, and choline), 1 (citric acid), and 4 (L-glutamine, glycine, citric acid, and dimethyl sulfone) plasma metabolites associated with RFI, DMI, ADG, and MWT (P-value < 0.1), respectively. Combining the results of metabolome-genome wide association studies using 10,488,742 imputed SNPs, 40, 66, 15, and 40 unique candidate genes were identified as associated with RFI, DMI, ADG, and MWT (P-value < 1 × 10(−5)), respectively. These candidate genes were found to be involved in some key metabolic processes including metabolism of lipids, molecular transportation, cellular function and maintenance, cell morphology and biochemistry of small molecules. CONCLUSIONS: This study identified metabolites, candidate genes and enriched biological functions/processes associated with RFI and its component traits through the integrative analyses of metabolites with phenotypic traits and DNA variants. Our findings could enhance the understanding of biochemical mechanisms of feed efficiency traits and could lead to improvement of genomic prediction accuracy via incorporating metabolite data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08064-5. BioMed Central 2021-11-15 /pmc/articles/PMC8591823/ /pubmed/34781903 http://dx.doi.org/10.1186/s12864-021-08064-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Jiyuan
Mukiibi, Robert
Wang, Yining
Plastow, Graham S.
Li, Changxi
Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title_full Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title_fullStr Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title_full_unstemmed Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title_short Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
title_sort identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591823/
https://www.ncbi.nlm.nih.gov/pubmed/34781903
http://dx.doi.org/10.1186/s12864-021-08064-5
work_keys_str_mv AT lijiyuan identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT mukiibirobert identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT wangyining identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT plastowgrahams identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT lichangxi identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle