» Articles » PMID: 36352447

Identification of Biomarkers Associated with the Feed Efficiency by Metabolomics Profiling: Results from the Broiler Lines Divergent for High or Low Abdominal Fat Content

Overview
Publisher Biomed Central
Date 2022 Nov 10
PMID 36352447
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Improving feed efficiency (FE) is one of the main objectives in broiler breeding. It is difficult to directly measure FE traits, and breeders hence have been trying to identify biomarkers for the indirect selection and improvement of FE traits. Metabolome is the "bridge" between genome and phenome. The metabolites may potentially account for more of the phenotypic variation and can suitably serve as biomarkers for selecting FE traits. This study aimed to identify plasma metabolite markers for selecting high-FE broilers. A total of 441 birds from Northeast Agricultural University broiler lines divergently selected for abdominal fat content were used to analyze plasma metabolome and estimate the genetic parameters of differentially expressed metabolites.

Results: The results identified 124 differentially expressed plasma metabolites (P < 0.05) between the lean line (high-FE birds) and the fat line (low-FE birds). Among these differentially expressed plasma metabolites, 44 were found to have higher positive or negative genetic correlations with FE traits (|r| ≥ 0.30). Of these 44 metabolites, 14 were found to display moderate to high heritability estimates (h ≥ 0.20). However, among the 14 metabolites, 4 metabolites whose physiological functions have not been reported were excluded. Ultimately, 10 metabolites were suggested to serve as the potential biomarkers for breeding the high-FE broilers. Based on the physiological functions of these metabolites, reducing inflammatory and improving immunity were proposed to improve FE and increase production efficiency.

Conclusions: According to the pipeline for the selection of the metabolite markers established in this study, it was suggested that 10 metabolites including 7-ketocholesterol, dimethyl sulfone, epsilon-(gamma-glutamyl)-lysine, gamma-glutamyltyrosine, 2-oxoadipic acid, L-homoarginine, testosterone, adenosine 5'-monophosphate, adrenic acid, and calcitriol could be used as the potential biomarkers for breeding the "food-saving broilers".

Citing Articles

Integrating Metabolomics and Genomics to Uncover the Impact of Fermented Total Mixed Ration on Heifer Growth Performance Through Host-Dependent Metabolic Pathways.

Hu Z, Zuo M, Ding S, Zhong Y, Xue M, Zheng H Animals (Basel). 2025; 15(2).

PMID: 39858173 PMC: 11758300. DOI: 10.3390/ani15020173.


Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar).

Langille B, Juarez M, Prieto N, Boison S, Lim P, Swift B BMC Genomics. 2024; 25(1):1208.

PMID: 39695999 PMC: 11658282. DOI: 10.1186/s12864-024-11131-2.


Serum metabolic profiles in quails: Effects of age, breed, and sex.

He Q, Shang H, Huang Y, Li L, Wu Z, Ran H Poult Sci. 2024; 104(1):104556.

PMID: 39612675 PMC: 11647234. DOI: 10.1016/j.psj.2024.104556.


RNA-Seq Analysis Reveals the Molecular Mechanisms Regulating the Development of Different Adipose Tissues in Broiler Chicks.

Wei S, Kang X, Amevor F, Du X, Wu Y, Xu Z Animals (Basel). 2024; 14(6).

PMID: 38539997 PMC: 10967598. DOI: 10.3390/ani14060899.

References
1.
Radmacher P, HILTON M, HILTON F, Duncan S, Adamkin D . Use of the soluble peptide gamma-L-glutamyl-L-tyrosine to provide tyrosine in total parenteral nutrition in rats. JPEN J Parenter Enteral Nutr. 1993; 17(4):337-44. DOI: 10.1177/0148607193017004337. View

2.
Hayton S, Maker G, Mullaney I, Trengove R . Experimental design and reporting standards for metabolomics studies of mammalian cell lines. Cell Mol Life Sci. 2017; 74(24):4421-4441. PMC: 11107723. DOI: 10.1007/s00018-017-2582-1. View

3.
Alexandre P, Kogelman L, Santana M, Passarelli D, Pulz L, Fantinato-Neto P . Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle. BMC Genomics. 2015; 16:1073. PMC: 4683712. DOI: 10.1186/s12864-015-2292-8. View

4.
Herd R, Velazco J, Smith H, Arthur P, Hine B, Oddy H . Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1. J Anim Sci. 2019; 97(5):2202-2219. PMC: 6488334. DOI: 10.1093/jas/skz077. View

5.
Shibata K, Yasui M, Sano M, Fukuwatari T . Fluorometric determination of 2-oxoadipic acid, a common metabolite of tryptophan and lysine, by high-performance liquid chromatography with pre-chemical derivatization. Biosci Biotechnol Biochem. 2011; 75(1):185-7. DOI: 10.1271/bbb.100723. View