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Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure

Indigenous Korean breeds such as Hanwoo (Korean) cattle have adapted to their local environment during the past 5000 years. In the 1980s, the National Genetic Improvement Program was established to develop a modern economic breed for beef production in Korea through artificial selection. This proces...

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Autores principales: Seo, Dongwon, Lee, Doo Ho, Jin, Shil, Won, Jung Il, Lim, Dajeong, Park, Mina, Kim, Tae Hun, Lee, Hak Kyo, Kim, Sidong, Choi, Inchul, Lee, Jun Heon, Gondro, Cedric, Lee, Seung Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018707/
https://www.ncbi.nlm.nih.gov/pubmed/35440706
http://dx.doi.org/10.1038/s41598-022-09425-0
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author Seo, Dongwon
Lee, Doo Ho
Jin, Shil
Won, Jung Il
Lim, Dajeong
Park, Mina
Kim, Tae Hun
Lee, Hak Kyo
Kim, Sidong
Choi, Inchul
Lee, Jun Heon
Gondro, Cedric
Lee, Seung Hwan
author_facet Seo, Dongwon
Lee, Doo Ho
Jin, Shil
Won, Jung Il
Lim, Dajeong
Park, Mina
Kim, Tae Hun
Lee, Hak Kyo
Kim, Sidong
Choi, Inchul
Lee, Jun Heon
Gondro, Cedric
Lee, Seung Hwan
author_sort Seo, Dongwon
collection PubMed
description Indigenous Korean breeds such as Hanwoo (Korean) cattle have adapted to their local environment during the past 5000 years. In the 1980s, the National Genetic Improvement Program was established to develop a modern economic breed for beef production in Korea through artificial selection. This process is thought to have altered the genomic structure of breeding traits over time. The detection of genetic variants under selection could help to elucidate the genetic mechanism of artificial selection in modern cattle breeds. Indigenous Hanwoo cattle have adapted in response to local natural and artificial selection during a 40-year breeding program. We analyzed genomic changes in the selection signatures of an unselected population (USP; n = 362) and a selected population (KPN; n = 667) of Hanwoo cattle. Genomic changes due to long-term artificial selection were identified using a genome-wide integrated haplotype score (iHS) and a genome-wide association study (GWAS). Signatures of recent selection were detected as positive (piHS > 6) or negative (piHS < –6) iHS scores spanning more than 46 related genes in KPN cattle, but none in USP cattle. A region adjacent to the PLAG1 gene was found to be under strong selection for carcass weight. The GWAS results also showed a selection signature on BTA14, but none on BTA13. Pathway and quantitative trait locus analysis results identified candidate genes related to energy metabolism, feed efficiency, and reproductive traits in Hanwoo cattle. Strong selection significantly altered Hanwoo cattle genome structural properties such as linkage disequilibrium (LD) and haplotypes through causal mutation for target traits. Haplotype changes of genome structure which are changes of ancestral allele to derived alleles due to selection were clearly identified on BTA13 and BTA14; however, the structure of the LD block was not clearly observed except BTA14. Thus, selection based on EBVs would be working very well in Hanwoo cattle breeding program appears to have been highly successful.
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spelling pubmed-90187072022-04-21 Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure Seo, Dongwon Lee, Doo Ho Jin, Shil Won, Jung Il Lim, Dajeong Park, Mina Kim, Tae Hun Lee, Hak Kyo Kim, Sidong Choi, Inchul Lee, Jun Heon Gondro, Cedric Lee, Seung Hwan Sci Rep Article Indigenous Korean breeds such as Hanwoo (Korean) cattle have adapted to their local environment during the past 5000 years. In the 1980s, the National Genetic Improvement Program was established to develop a modern economic breed for beef production in Korea through artificial selection. This process is thought to have altered the genomic structure of breeding traits over time. The detection of genetic variants under selection could help to elucidate the genetic mechanism of artificial selection in modern cattle breeds. Indigenous Hanwoo cattle have adapted in response to local natural and artificial selection during a 40-year breeding program. We analyzed genomic changes in the selection signatures of an unselected population (USP; n = 362) and a selected population (KPN; n = 667) of Hanwoo cattle. Genomic changes due to long-term artificial selection were identified using a genome-wide integrated haplotype score (iHS) and a genome-wide association study (GWAS). Signatures of recent selection were detected as positive (piHS > 6) or negative (piHS < –6) iHS scores spanning more than 46 related genes in KPN cattle, but none in USP cattle. A region adjacent to the PLAG1 gene was found to be under strong selection for carcass weight. The GWAS results also showed a selection signature on BTA14, but none on BTA13. Pathway and quantitative trait locus analysis results identified candidate genes related to energy metabolism, feed efficiency, and reproductive traits in Hanwoo cattle. Strong selection significantly altered Hanwoo cattle genome structural properties such as linkage disequilibrium (LD) and haplotypes through causal mutation for target traits. Haplotype changes of genome structure which are changes of ancestral allele to derived alleles due to selection were clearly identified on BTA13 and BTA14; however, the structure of the LD block was not clearly observed except BTA14. Thus, selection based on EBVs would be working very well in Hanwoo cattle breeding program appears to have been highly successful. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9018707/ /pubmed/35440706 http://dx.doi.org/10.1038/s41598-022-09425-0 Text en © The Author(s) 2022 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
Seo, Dongwon
Lee, Doo Ho
Jin, Shil
Won, Jung Il
Lim, Dajeong
Park, Mina
Kim, Tae Hun
Lee, Hak Kyo
Kim, Sidong
Choi, Inchul
Lee, Jun Heon
Gondro, Cedric
Lee, Seung Hwan
Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title_full Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title_fullStr Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title_full_unstemmed Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title_short Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
title_sort long-term artificial selection of hanwoo (korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018707/
https://www.ncbi.nlm.nih.gov/pubmed/35440706
http://dx.doi.org/10.1038/s41598-022-09425-0
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