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Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences
High-quality whole-genome resequencing in large-scale pig populations with pedigree structure and multiple breeds would enable accurate construction of haplotype and robust selection-signature detection. Here, we sequence 740 pigs, combine with 149 of our previously published resequencing data, retr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447580/ https://www.ncbi.nlm.nih.gov/pubmed/37612277 http://dx.doi.org/10.1038/s41467-023-40434-3 |
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author | Tong, Xinkai Chen, Dong Hu, Jianchao Lin, Shiyao Ling, Ziqi Ai, Huashui Zhang, Zhiyan Huang, Lusheng |
author_facet | Tong, Xinkai Chen, Dong Hu, Jianchao Lin, Shiyao Ling, Ziqi Ai, Huashui Zhang, Zhiyan Huang, Lusheng |
author_sort | Tong, Xinkai |
collection | PubMed |
description | High-quality whole-genome resequencing in large-scale pig populations with pedigree structure and multiple breeds would enable accurate construction of haplotype and robust selection-signature detection. Here, we sequence 740 pigs, combine with 149 of our previously published resequencing data, retrieve 207 resequencing datasets, and form a panel of worldwide distributed wild boars, aboriginal and highly selected pigs with pedigree structures, amounting to 1096 genomes from 43 breeds. Combining with their haplotype-informative reads and pedigree structure, we accurately construct a panel of 1874 haploid genomes with 41,964,356 genetic variants. We further demonstrate its valuable applications in GWAS by identifying five novel loci for intramuscular fat content, and in genomic selection by increasing the accuracy of estimated breeding value by 36.7%. In evolutionary selection, we detect MUC13 gene under a long-term balancing selection, as well as NPR3 gene under positive selection for pig stature. Our study provides abundant genomic variations for robust selection-signature detection and accurate haplotypes for deciphering complex traits in pigs. |
format | Online Article Text |
id | pubmed-10447580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104475802023-08-25 Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences Tong, Xinkai Chen, Dong Hu, Jianchao Lin, Shiyao Ling, Ziqi Ai, Huashui Zhang, Zhiyan Huang, Lusheng Nat Commun Article High-quality whole-genome resequencing in large-scale pig populations with pedigree structure and multiple breeds would enable accurate construction of haplotype and robust selection-signature detection. Here, we sequence 740 pigs, combine with 149 of our previously published resequencing data, retrieve 207 resequencing datasets, and form a panel of worldwide distributed wild boars, aboriginal and highly selected pigs with pedigree structures, amounting to 1096 genomes from 43 breeds. Combining with their haplotype-informative reads and pedigree structure, we accurately construct a panel of 1874 haploid genomes with 41,964,356 genetic variants. We further demonstrate its valuable applications in GWAS by identifying five novel loci for intramuscular fat content, and in genomic selection by increasing the accuracy of estimated breeding value by 36.7%. In evolutionary selection, we detect MUC13 gene under a long-term balancing selection, as well as NPR3 gene under positive selection for pig stature. Our study provides abundant genomic variations for robust selection-signature detection and accurate haplotypes for deciphering complex traits in pigs. Nature Publishing Group UK 2023-08-23 /pmc/articles/PMC10447580/ /pubmed/37612277 http://dx.doi.org/10.1038/s41467-023-40434-3 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/) . |
spellingShingle | Article Tong, Xinkai Chen, Dong Hu, Jianchao Lin, Shiyao Ling, Ziqi Ai, Huashui Zhang, Zhiyan Huang, Lusheng Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title | Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title_full | Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title_fullStr | Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title_full_unstemmed | Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title_short | Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
title_sort | accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447580/ https://www.ncbi.nlm.nih.gov/pubmed/37612277 http://dx.doi.org/10.1038/s41467-023-40434-3 |
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