Cargando…
Serum metabolic profile and metabolome genome-wide association study in chicken
BACKGROUND: Chickens provide globally important livestock products. Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding. Influenced by a combination of genetic and environmental factors, metabolites are the ultimat...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158329/ https://www.ncbi.nlm.nih.gov/pubmed/37138301 http://dx.doi.org/10.1186/s40104-023-00868-7 |
_version_ | 1785036906140008448 |
---|---|
author | Tian, Jing Zhu, Xiaoning Wu, Hanyu Wang, Yuzhe Hu, Xiaoxiang |
author_facet | Tian, Jing Zhu, Xiaoning Wu, Hanyu Wang, Yuzhe Hu, Xiaoxiang |
author_sort | Tian, Jing |
collection | PubMed |
description | BACKGROUND: Chickens provide globally important livestock products. Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding. Influenced by a combination of genetic and environmental factors, metabolites are the ultimate expression of physiological processes and can provide key insights into livestock economic traits. However, the serum metabolite profile and genetic architecture of the metabolome in chickens have not been well studied. RESULTS: Here, comprehensive metabolome detection was performed using non-targeted LC–MS/MS on serum from a chicken advanced intercross line (AIL). In total, 7,191 metabolites were used to construct a chicken serum metabolomics dataset and to comprehensively characterize the serum metabolism of the chicken AIL population. Regulatory loci affecting metabolites were identified in a metabolome genome-wide association study (mGWAS). There were 10,061 significant SNPs associated with 253 metabolites that were widely distributed across the entire chicken genome. Many functional genes affect metabolite synthesis, metabolism, and regulation. We highlight the key roles of TDH and AASS in amino acids, and ABCB1 and CD36 in lipids. CONCLUSIONS: We constructed a chicken serum metabolite dataset containing 7,191 metabolites to provide a reference for future chicken metabolome characterization work. Meanwhile, we used mGWAS to analyze the genetic basis of chicken metabolic traits and metabolites and to improve chicken breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40104-023-00868-7. |
format | Online Article Text |
id | pubmed-10158329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101583292023-05-05 Serum metabolic profile and metabolome genome-wide association study in chicken Tian, Jing Zhu, Xiaoning Wu, Hanyu Wang, Yuzhe Hu, Xiaoxiang J Anim Sci Biotechnol Research BACKGROUND: Chickens provide globally important livestock products. Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding. Influenced by a combination of genetic and environmental factors, metabolites are the ultimate expression of physiological processes and can provide key insights into livestock economic traits. However, the serum metabolite profile and genetic architecture of the metabolome in chickens have not been well studied. RESULTS: Here, comprehensive metabolome detection was performed using non-targeted LC–MS/MS on serum from a chicken advanced intercross line (AIL). In total, 7,191 metabolites were used to construct a chicken serum metabolomics dataset and to comprehensively characterize the serum metabolism of the chicken AIL population. Regulatory loci affecting metabolites were identified in a metabolome genome-wide association study (mGWAS). There were 10,061 significant SNPs associated with 253 metabolites that were widely distributed across the entire chicken genome. Many functional genes affect metabolite synthesis, metabolism, and regulation. We highlight the key roles of TDH and AASS in amino acids, and ABCB1 and CD36 in lipids. CONCLUSIONS: We constructed a chicken serum metabolite dataset containing 7,191 metabolites to provide a reference for future chicken metabolome characterization work. Meanwhile, we used mGWAS to analyze the genetic basis of chicken metabolic traits and metabolites and to improve chicken breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40104-023-00868-7. BioMed Central 2023-05-04 /pmc/articles/PMC10158329/ /pubmed/37138301 http://dx.doi.org/10.1186/s40104-023-00868-7 Text en © The Author(s) 2023 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 Tian, Jing Zhu, Xiaoning Wu, Hanyu Wang, Yuzhe Hu, Xiaoxiang Serum metabolic profile and metabolome genome-wide association study in chicken |
title | Serum metabolic profile and metabolome genome-wide association study in chicken |
title_full | Serum metabolic profile and metabolome genome-wide association study in chicken |
title_fullStr | Serum metabolic profile and metabolome genome-wide association study in chicken |
title_full_unstemmed | Serum metabolic profile and metabolome genome-wide association study in chicken |
title_short | Serum metabolic profile and metabolome genome-wide association study in chicken |
title_sort | serum metabolic profile and metabolome genome-wide association study in chicken |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158329/ https://www.ncbi.nlm.nih.gov/pubmed/37138301 http://dx.doi.org/10.1186/s40104-023-00868-7 |
work_keys_str_mv | AT tianjing serummetabolicprofileandmetabolomegenomewideassociationstudyinchicken AT zhuxiaoning serummetabolicprofileandmetabolomegenomewideassociationstudyinchicken AT wuhanyu serummetabolicprofileandmetabolomegenomewideassociationstudyinchicken AT wangyuzhe serummetabolicprofileandmetabolomegenomewideassociationstudyinchicken AT huxiaoxiang serummetabolicprofileandmetabolomegenomewideassociationstudyinchicken |