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Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs

BACKGROUND: During approximately 10,000 years of domestication and selection, a large number of structural variations (SVs) have emerged in the genome of pig breeds, profoundly influencing their phenotypes and the ability to adapt to the local environment. SVs (≥ 50 bp) are widely distributed in the...

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Autores principales: Zong, Wencheng, Wang, Jinbu, Zhao, Runze, Niu, Naiqi, Su, Yanfang, Hu, Ziping, Liu, Xin, Hou, Xinhua, Wang, Ligang, Wang, Lixian, Zhang, Longchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559557/
https://www.ncbi.nlm.nih.gov/pubmed/37805653
http://dx.doi.org/10.1186/s40104-023-00929-x
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author Zong, Wencheng
Wang, Jinbu
Zhao, Runze
Niu, Naiqi
Su, Yanfang
Hu, Ziping
Liu, Xin
Hou, Xinhua
Wang, Ligang
Wang, Lixian
Zhang, Longchao
author_facet Zong, Wencheng
Wang, Jinbu
Zhao, Runze
Niu, Naiqi
Su, Yanfang
Hu, Ziping
Liu, Xin
Hou, Xinhua
Wang, Ligang
Wang, Lixian
Zhang, Longchao
author_sort Zong, Wencheng
collection PubMed
description BACKGROUND: During approximately 10,000 years of domestication and selection, a large number of structural variations (SVs) have emerged in the genome of pig breeds, profoundly influencing their phenotypes and the ability to adapt to the local environment. SVs (≥ 50 bp) are widely distributed in the genome, mainly in the form of insertion (INS), mobile element insertion (MEI), deletion (DEL), duplication (DUP), inversion (INV), and translocation (TRA). While studies have investigated the SVs in pig genomes, genome-wide association studies (GWAS)-based on SVs have been rarely conducted. RESULTS: Here, we obtained a high-quality SV map containing 123,151 SVs from 15 Large White and 15 Min pigs through integrating the power of several SV tools, with 53.95% of the SVs being reported for the first time. These high-quality SVs were used to recover the population genetic structure, confirming the accuracy of genotyping. Potential functional SV loci were then identified based on positional effects and breed stratification. Finally, GWAS were performed for 36 traits by genotyping the screened potential causal loci in the F2 population according to their corresponding genomic positions. We identified a large number of loci involved in 8 carcass traits and 6 skeletal traits on chromosome 7, with FKBP5 containing the most significant SV locus for almost all traits. In addition, we found several significant loci in intramuscular fat, abdominal circumference, heart weight, and liver weight, etc. CONCLUSIONS: We constructed a high-quality SV map using high-coverage sequencing data and then analyzed them by performing GWAS for 25 carcass traits, 7 skeletal traits, and 4 meat quality traits to determine that SVs may affect body size between European and Chinese pig breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40104-023-00929-x.
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spelling pubmed-105595572023-10-08 Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs Zong, Wencheng Wang, Jinbu Zhao, Runze Niu, Naiqi Su, Yanfang Hu, Ziping Liu, Xin Hou, Xinhua Wang, Ligang Wang, Lixian Zhang, Longchao J Anim Sci Biotechnol Research BACKGROUND: During approximately 10,000 years of domestication and selection, a large number of structural variations (SVs) have emerged in the genome of pig breeds, profoundly influencing their phenotypes and the ability to adapt to the local environment. SVs (≥ 50 bp) are widely distributed in the genome, mainly in the form of insertion (INS), mobile element insertion (MEI), deletion (DEL), duplication (DUP), inversion (INV), and translocation (TRA). While studies have investigated the SVs in pig genomes, genome-wide association studies (GWAS)-based on SVs have been rarely conducted. RESULTS: Here, we obtained a high-quality SV map containing 123,151 SVs from 15 Large White and 15 Min pigs through integrating the power of several SV tools, with 53.95% of the SVs being reported for the first time. These high-quality SVs were used to recover the population genetic structure, confirming the accuracy of genotyping. Potential functional SV loci were then identified based on positional effects and breed stratification. Finally, GWAS were performed for 36 traits by genotyping the screened potential causal loci in the F2 population according to their corresponding genomic positions. We identified a large number of loci involved in 8 carcass traits and 6 skeletal traits on chromosome 7, with FKBP5 containing the most significant SV locus for almost all traits. In addition, we found several significant loci in intramuscular fat, abdominal circumference, heart weight, and liver weight, etc. CONCLUSIONS: We constructed a high-quality SV map using high-coverage sequencing data and then analyzed them by performing GWAS for 25 carcass traits, 7 skeletal traits, and 4 meat quality traits to determine that SVs may affect body size between European and Chinese pig breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40104-023-00929-x. BioMed Central 2023-10-07 /pmc/articles/PMC10559557/ /pubmed/37805653 http://dx.doi.org/10.1186/s40104-023-00929-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Zong, Wencheng
Wang, Jinbu
Zhao, Runze
Niu, Naiqi
Su, Yanfang
Hu, Ziping
Liu, Xin
Hou, Xinhua
Wang, Ligang
Wang, Lixian
Zhang, Longchao
Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title_full Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title_fullStr Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title_full_unstemmed Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title_short Associations of genome-wide structural variations with phenotypic differences in cross-bred Eurasian pigs
title_sort associations of genome-wide structural variations with phenotypic differences in cross-bred eurasian pigs
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559557/
https://www.ncbi.nlm.nih.gov/pubmed/37805653
http://dx.doi.org/10.1186/s40104-023-00929-x
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