Copy number variants selected during pig domestication inferred from whole genome resequencing
Over extended periods of natural and artificial selection, China has developed numerous exceptional pig breeds. Deciphering the germplasm characteristics of these breeds is crucial for their preservation and utilization. While many studies have employed single nucleotide polymorphism (SNP) analysis...
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Published in: | Frontiers in veterinary science Vol. 11; p. 1364267 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Switzerland
Frontiers Media S.A
05-03-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | Over extended periods of natural and artificial selection, China has developed numerous exceptional pig breeds. Deciphering the germplasm characteristics of these breeds is crucial for their preservation and utilization. While many studies have employed single nucleotide polymorphism (SNP) analysis to investigate the local pig germplasm characteristics, copy number variation (CNV), another significant type of genetic variation, has been less explored in understanding pig resources. In this study, we examined the CNVs of 18 Wanbei pigs (WBP) using whole genome resequencing data with an average depth of 12.61. We identified a total of 8,783 CNVs (~30.07 Mb, 1.20% of the pig genome) in WBP, including 8,427 deletions and 356 duplications. Utilizing fixation index (Fst), we determined that 164 CNVs were within the top 1% of the Fst value and defined as under selection. Functional enrichment analyses of the genes associated with these selected CNVs revealed genes linked to reproduction (
,
,
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), growth and development (
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), and immunity (
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). This study enhances our understanding of the genomic characteristics of the Wanbei pig and offers a theoretical foundation for the future breeding of this breed. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Zhong Xu, Hubei Academy of Agricultural Sciences, China Edited by: Ning Song, Anhui Agricultural University, China These authors have contributed equally to this work Guoqiang Yi, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, China |
ISSN: | 2297-1769 2297-1769 |
DOI: | 10.3389/fvets.2024.1364267 |