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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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