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Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs

Background: The use of breed-informative genetic markers, specifically coding Single Nucleotide Polymorphisms (SNPs), is crucial for breed traceability, authentication of meat and dairy products, and the preservation and improvement of pig breeds. By identifying breed informative markers, we aimed t...

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Autores principales: Hayah, Ichrak, Talbi, Chouhra, Chafai, Narjice, Houaga, Isidore, Botti, Sara, Badaoui, Bouabid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687199/
https://www.ncbi.nlm.nih.gov/pubmed/38034497
http://dx.doi.org/10.3389/fgene.2023.1229741
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author Hayah, Ichrak
Talbi, Chouhra
Chafai, Narjice
Houaga, Isidore
Botti, Sara
Badaoui, Bouabid
author_facet Hayah, Ichrak
Talbi, Chouhra
Chafai, Narjice
Houaga, Isidore
Botti, Sara
Badaoui, Bouabid
author_sort Hayah, Ichrak
collection PubMed
description Background: The use of breed-informative genetic markers, specifically coding Single Nucleotide Polymorphisms (SNPs), is crucial for breed traceability, authentication of meat and dairy products, and the preservation and improvement of pig breeds. By identifying breed informative markers, we aimed to gain insights into the genetic mechanisms that influence production traits, enabling informed decisions in animal management and promoting sustainable pig production to meet the growing demand for animal products. Methods: Our dataset consists of 300 coding SNPs genotyped from three Italian commercial pig populations: Landrace, Yorkshire, and Duroc. Firstly, we analyzed the genetic diversity among the populations. Then, we applied a discriminant analysis of principal components to identify the most informative SNPs for discriminating between these populations. Lastly, we conducted a functional enrichment analysis to identify the most enriched pathways related to the genetic variation observed in the pig populations. Results: The alpha diversity indexes revealed a high genetic diversity within the three breeds. The higher proportion of observed heterozygosity than expected revealed an excess of heterozygotes in the populations that was supported by negative values of the fixation index (F(IS)) and deviations from the Hardy-Weinberg equilibrium. The Euclidean distance, the pairwise F(ST), and the pairwise Nei’s G(ST) genetic distances revealed that Yorkshire and Landrace breeds are genetically the closest, with distance values of 2.242, 0.029, and 0.033, respectively. Conversely, Landrace and Duroc breeds showed the highest genetic divergence, with distance values of 2.815, 0.048, and 0.052, respectively. We identified 28 significant SNPs that are related to phenotypic traits and these SNPs were able to differentiate between the pig breeds with high accuracy. The Functional Enrichment Analysis of the informative SNPs highlighted biological functions related to DNA packaging, chromatin integrity, and the preparation of DNA into higher-order structures. Conclusion: Our study sheds light on the genetic underpinnings of phenotypic variation among three Italian pig breeds, offering potential insights into the mechanisms driving breed differentiation. By prioritizing breed-specific coding SNPs, our approach enables a more focused analysis of specific genomic regions relevant to the research question compared to analyzing the entire genome.
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spelling pubmed-106871992023-11-30 Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs Hayah, Ichrak Talbi, Chouhra Chafai, Narjice Houaga, Isidore Botti, Sara Badaoui, Bouabid Front Genet Genetics Background: The use of breed-informative genetic markers, specifically coding Single Nucleotide Polymorphisms (SNPs), is crucial for breed traceability, authentication of meat and dairy products, and the preservation and improvement of pig breeds. By identifying breed informative markers, we aimed to gain insights into the genetic mechanisms that influence production traits, enabling informed decisions in animal management and promoting sustainable pig production to meet the growing demand for animal products. Methods: Our dataset consists of 300 coding SNPs genotyped from three Italian commercial pig populations: Landrace, Yorkshire, and Duroc. Firstly, we analyzed the genetic diversity among the populations. Then, we applied a discriminant analysis of principal components to identify the most informative SNPs for discriminating between these populations. Lastly, we conducted a functional enrichment analysis to identify the most enriched pathways related to the genetic variation observed in the pig populations. Results: The alpha diversity indexes revealed a high genetic diversity within the three breeds. The higher proportion of observed heterozygosity than expected revealed an excess of heterozygotes in the populations that was supported by negative values of the fixation index (F(IS)) and deviations from the Hardy-Weinberg equilibrium. The Euclidean distance, the pairwise F(ST), and the pairwise Nei’s G(ST) genetic distances revealed that Yorkshire and Landrace breeds are genetically the closest, with distance values of 2.242, 0.029, and 0.033, respectively. Conversely, Landrace and Duroc breeds showed the highest genetic divergence, with distance values of 2.815, 0.048, and 0.052, respectively. We identified 28 significant SNPs that are related to phenotypic traits and these SNPs were able to differentiate between the pig breeds with high accuracy. The Functional Enrichment Analysis of the informative SNPs highlighted biological functions related to DNA packaging, chromatin integrity, and the preparation of DNA into higher-order structures. Conclusion: Our study sheds light on the genetic underpinnings of phenotypic variation among three Italian pig breeds, offering potential insights into the mechanisms driving breed differentiation. By prioritizing breed-specific coding SNPs, our approach enables a more focused analysis of specific genomic regions relevant to the research question compared to analyzing the entire genome. Frontiers Media S.A. 2023-11-16 /pmc/articles/PMC10687199/ /pubmed/38034497 http://dx.doi.org/10.3389/fgene.2023.1229741 Text en Copyright © 2023 Hayah, Talbi, Chafai, Houaga, Botti and Badaoui. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Hayah, Ichrak
Talbi, Chouhra
Chafai, Narjice
Houaga, Isidore
Botti, Sara
Badaoui, Bouabid
Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title_full Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title_fullStr Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title_full_unstemmed Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title_short Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs
title_sort genetic diversity and breed-informative snps identification in domestic pig populations using coding snps
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687199/
https://www.ncbi.nlm.nih.gov/pubmed/38034497
http://dx.doi.org/10.3389/fgene.2023.1229741
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