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Comprehensive analysis of structural variants in chickens using PacBio sequencing
Structural variants (SVs) are one of the main sources of genetic variants and have a greater impact on phenotype evolution, disease susceptibility, and environmental adaptations than single nucleotide polymorphisms (SNPs). However, SVs remain challenging to accurately type, with several detection me...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632285/ https://www.ncbi.nlm.nih.gov/pubmed/36338955 http://dx.doi.org/10.3389/fgene.2022.971588 |
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author | Zhang, Jinxin Nie, Changsheng Li, Xinghua Zhao, Xiurong Jia, Yaxiong Han, Jianlin Chen, Yu Wang, Liang Lv, Xueze Yang, Weifang Li, Kaiyang Zhang, Jianwei Ning, Zhonghua Bao, Haigang Zhao, Chunjiang Li, Junying Qu, Lujiang |
author_facet | Zhang, Jinxin Nie, Changsheng Li, Xinghua Zhao, Xiurong Jia, Yaxiong Han, Jianlin Chen, Yu Wang, Liang Lv, Xueze Yang, Weifang Li, Kaiyang Zhang, Jianwei Ning, Zhonghua Bao, Haigang Zhao, Chunjiang Li, Junying Qu, Lujiang |
author_sort | Zhang, Jinxin |
collection | PubMed |
description | Structural variants (SVs) are one of the main sources of genetic variants and have a greater impact on phenotype evolution, disease susceptibility, and environmental adaptations than single nucleotide polymorphisms (SNPs). However, SVs remain challenging to accurately type, with several detection methods showing different limitations. Here, we explored SVs from 10 different chickens using PacBio technology and detected 49,501 high-confidence SVs. The results showed that the PacBio long-read detected more SVs than Illumina short-read technology genomes owing to some SV sites on chromosomes, which are related to chicken growth and development. During chicken domestication, some SVs beneficial to the breed or without any effect on the genomic function of the breed were retained, whereas deleterious SVs were generally eliminated. This study could facilitate the analysis of the genetic characteristics of different chickens and provide a better understanding of their phenotypic characteristics at the SV level, based on the long-read sequencing method. This study enriches our knowledge of SVs in chickens and improves our understanding of chicken genomic diversity. |
format | Online Article Text |
id | pubmed-9632285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96322852022-11-04 Comprehensive analysis of structural variants in chickens using PacBio sequencing Zhang, Jinxin Nie, Changsheng Li, Xinghua Zhao, Xiurong Jia, Yaxiong Han, Jianlin Chen, Yu Wang, Liang Lv, Xueze Yang, Weifang Li, Kaiyang Zhang, Jianwei Ning, Zhonghua Bao, Haigang Zhao, Chunjiang Li, Junying Qu, Lujiang Front Genet Genetics Structural variants (SVs) are one of the main sources of genetic variants and have a greater impact on phenotype evolution, disease susceptibility, and environmental adaptations than single nucleotide polymorphisms (SNPs). However, SVs remain challenging to accurately type, with several detection methods showing different limitations. Here, we explored SVs from 10 different chickens using PacBio technology and detected 49,501 high-confidence SVs. The results showed that the PacBio long-read detected more SVs than Illumina short-read technology genomes owing to some SV sites on chromosomes, which are related to chicken growth and development. During chicken domestication, some SVs beneficial to the breed or without any effect on the genomic function of the breed were retained, whereas deleterious SVs were generally eliminated. This study could facilitate the analysis of the genetic characteristics of different chickens and provide a better understanding of their phenotypic characteristics at the SV level, based on the long-read sequencing method. This study enriches our knowledge of SVs in chickens and improves our understanding of chicken genomic diversity. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9632285/ /pubmed/36338955 http://dx.doi.org/10.3389/fgene.2022.971588 Text en Copyright © 2022 Zhang, Nie, Li, Zhao, Jia, Han, Chen, Wang, Lv, Yang, Li, Zhang, Ning, Bao, Zhao, Li and Qu. 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 Zhang, Jinxin Nie, Changsheng Li, Xinghua Zhao, Xiurong Jia, Yaxiong Han, Jianlin Chen, Yu Wang, Liang Lv, Xueze Yang, Weifang Li, Kaiyang Zhang, Jianwei Ning, Zhonghua Bao, Haigang Zhao, Chunjiang Li, Junying Qu, Lujiang Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title | Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title_full | Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title_fullStr | Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title_full_unstemmed | Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title_short | Comprehensive analysis of structural variants in chickens using PacBio sequencing |
title_sort | comprehensive analysis of structural variants in chickens using pacbio sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632285/ https://www.ncbi.nlm.nih.gov/pubmed/36338955 http://dx.doi.org/10.3389/fgene.2022.971588 |
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