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Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background
The study aimed to investigate possible systematic effects in the basic underlying variability of individual metabolomic data. In this context, the extent of gender- and genotype-dependent differences reflected in the metabolic composition of three tissues in fattening pigs was determined. The 40 pi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146355/ https://www.ncbi.nlm.nih.gov/pubmed/33922306 http://dx.doi.org/10.3390/metabo11050261 |
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author | Peukert, Manuela Zimmermann, Sebastian Egert, Björn Weinert, Christoph H. Schwarzmann, Thomas Brüggemann, Dagmar A. |
author_facet | Peukert, Manuela Zimmermann, Sebastian Egert, Björn Weinert, Christoph H. Schwarzmann, Thomas Brüggemann, Dagmar A. |
author_sort | Peukert, Manuela |
collection | PubMed |
description | The study aimed to investigate possible systematic effects in the basic underlying variability of individual metabolomic data. In this context, the extent of gender- and genotype-dependent differences reflected in the metabolic composition of three tissues in fattening pigs was determined. The 40 pigs belonged to the genotypes PIx(LWxGL) and PIxGL with gilts and boars, respectively. Blood and tissue samples from M. longissimus dorsi and liver were directly taken at the slaughtering plant and directed to GC × GC qMS metabolite analysis. Differences were observed for various metabolite classes like amino acids, fatty acids, sugars, or organic acids. Gender-specific differences were much more pronounced than genotype-related differences, which could be due to the close genetic relation of the fattening pigs. However, the metabolic dimorphism between gilts and boars was found to be genotype-dependent, and vice versa metabolic differences between genotypes were found to be gender-dependent. Most interestingly, integration into metabolic pathways revealed different patterns for carbon (C) and nitrogen (N) usage in boars and gilts. We suppose a stronger N-recycling and increased energy metabolism in boars, whereas, in gilts, more N is presumably excreted and remaining carbon skeletons channeled into lipogenesis. Associations of metabolites to meat quality factors confirmed the applicability of metabolomics approaches for a better understanding about the impact of drivers (e.g., gender, age, breed) on physiological processes influencing meat quality. Due to the huge complexity of the drivers-traits-network, the derivation of independent biomarkers for meat quality prediction will hardly be possible. |
format | Online Article Text |
id | pubmed-8146355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81463552021-05-26 Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background Peukert, Manuela Zimmermann, Sebastian Egert, Björn Weinert, Christoph H. Schwarzmann, Thomas Brüggemann, Dagmar A. Metabolites Article The study aimed to investigate possible systematic effects in the basic underlying variability of individual metabolomic data. In this context, the extent of gender- and genotype-dependent differences reflected in the metabolic composition of three tissues in fattening pigs was determined. The 40 pigs belonged to the genotypes PIx(LWxGL) and PIxGL with gilts and boars, respectively. Blood and tissue samples from M. longissimus dorsi and liver were directly taken at the slaughtering plant and directed to GC × GC qMS metabolite analysis. Differences were observed for various metabolite classes like amino acids, fatty acids, sugars, or organic acids. Gender-specific differences were much more pronounced than genotype-related differences, which could be due to the close genetic relation of the fattening pigs. However, the metabolic dimorphism between gilts and boars was found to be genotype-dependent, and vice versa metabolic differences between genotypes were found to be gender-dependent. Most interestingly, integration into metabolic pathways revealed different patterns for carbon (C) and nitrogen (N) usage in boars and gilts. We suppose a stronger N-recycling and increased energy metabolism in boars, whereas, in gilts, more N is presumably excreted and remaining carbon skeletons channeled into lipogenesis. Associations of metabolites to meat quality factors confirmed the applicability of metabolomics approaches for a better understanding about the impact of drivers (e.g., gender, age, breed) on physiological processes influencing meat quality. Due to the huge complexity of the drivers-traits-network, the derivation of independent biomarkers for meat quality prediction will hardly be possible. MDPI 2021-04-22 /pmc/articles/PMC8146355/ /pubmed/33922306 http://dx.doi.org/10.3390/metabo11050261 Text en © 2021 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 Peukert, Manuela Zimmermann, Sebastian Egert, Björn Weinert, Christoph H. Schwarzmann, Thomas Brüggemann, Dagmar A. Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title | Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title_full | Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title_fullStr | Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title_full_unstemmed | Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title_short | Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background |
title_sort | sexual dimorphism of metabolite profiles in pigs depends on the genetic background |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146355/ https://www.ncbi.nlm.nih.gov/pubmed/33922306 http://dx.doi.org/10.3390/metabo11050261 |
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