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

Abstract 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 g...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jiyuan Li, Robert Mukiibi, Yining Wang, Graham S. Plastow, Changxi Li
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Acceso en línea:https://doaj.org/article/009bb741717c4dd3b3e7bd8d07bcc96b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:009bb741717c4dd3b3e7bd8d07bcc96b
record_format dspace
spelling oai:doaj.org-article:009bb741717c4dd3b3e7bd8d07bcc96b2021-11-21T12:26:29ZIdentification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle10.1186/s12864-021-08064-51471-2164https://doaj.org/article/009bb741717c4dd3b3e7bd8d07bcc96b2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12864-021-08064-5https://doaj.org/toc/1471-2164Abstract 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.Jiyuan LiRobert MukiibiYining WangGraham S. PlastowChangxi LiBMCarticleFeed efficiencyMetabolitesMetabolome-genome wide association studiesCandidate genesBiological function enrichment analysesBiotechnologyTP248.13-248.65GeneticsQH426-470ENBMC Genomics, Vol 22, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Feed efficiency
Metabolites
Metabolome-genome wide association studies
Candidate genes
Biological function enrichment analyses
Biotechnology
TP248.13-248.65
Genetics
QH426-470
spellingShingle Feed efficiency
Metabolites
Metabolome-genome wide association studies
Candidate genes
Biological function enrichment analyses
Biotechnology
TP248.13-248.65
Genetics
QH426-470
Jiyuan Li
Robert Mukiibi
Yining Wang
Graham S. Plastow
Changxi Li
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
description Abstract 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.
format article
author Jiyuan Li
Robert Mukiibi
Yining Wang
Graham S. Plastow
Changxi Li
author_facet Jiyuan Li
Robert Mukiibi
Yining Wang
Graham S. Plastow
Changxi Li
author_sort Jiyuan Li
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_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_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_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
publisher BMC
publishDate 2021
url https://doaj.org/article/009bb741717c4dd3b3e7bd8d07bcc96b
work_keys_str_mv AT jiyuanli identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT robertmukiibi identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT yiningwang identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT grahamsplastow identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
AT changxili identificationofcandidategenesandenrichedbiologicalfunctionsforfeedefficiencytraitsbyintegratingplasmametabolitesandimputedwholegenomesequencevariantsinbeefcattle
_version_ 1718418983574568960