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Development of Omni InDel and supporting database for maize

Insertions–deletions (InDels) are the second most abundant molecular marker in the genome and have been widely used in molecular biology research along with simple sequence repeats (SSR) and single-nucleotide polymorphisms (SNP). However, InDel variant mining and marker development usually focuses o...

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Autores principales: Liu, Zhihao, Zhao, Yikun, Zhang, Yunlong, Xu, Liwen, Zhou, Ling, Yang, Weiguang, Zhao, Han, Zhao, Jiuran, Wang, Fengge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344896/
https://www.ncbi.nlm.nih.gov/pubmed/37457340
http://dx.doi.org/10.3389/fpls.2023.1216505
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author Liu, Zhihao
Zhao, Yikun
Zhang, Yunlong
Xu, Liwen
Zhou, Ling
Yang, Weiguang
Zhao, Han
Zhao, Jiuran
Wang, Fengge
author_facet Liu, Zhihao
Zhao, Yikun
Zhang, Yunlong
Xu, Liwen
Zhou, Ling
Yang, Weiguang
Zhao, Han
Zhao, Jiuran
Wang, Fengge
author_sort Liu, Zhihao
collection PubMed
description Insertions–deletions (InDels) are the second most abundant molecular marker in the genome and have been widely used in molecular biology research along with simple sequence repeats (SSR) and single-nucleotide polymorphisms (SNP). However, InDel variant mining and marker development usually focuses on a single type of dimorphic InDel, which does not reflect the overall InDel diversity across the genome. Here, we developed Omni InDels for maize, soybean, and rice based on sequencing data and genome assembly that included InDel variants with base lengths from 1 bp to several Mb, and we conducted a detailed classification of Omni InDels. Moreover, we screened a set of InDels that are easily detected and typed (Perfect InDels) from the Omni InDels, verified the site authenticity using 3,587 germplasm resources from 11 groups, and analyzed the germplasm resources. Furthermore, we developed a Multi-InDel set based on the Omni InDels; each Multi-InDel contains multiple InDels, which greatly increases site polymorphism, they can be detected in multiple platforms such as fluorescent capillary electrophoresis and sequencing. Finally, we developed an online database website to make Omni InDels easy to use and share and developed a visual browsing function called “Variant viewer” for all Omni InDel sites to better display the variant distribution.
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spelling pubmed-103448962023-07-15 Development of Omni InDel and supporting database for maize Liu, Zhihao Zhao, Yikun Zhang, Yunlong Xu, Liwen Zhou, Ling Yang, Weiguang Zhao, Han Zhao, Jiuran Wang, Fengge Front Plant Sci Plant Science Insertions–deletions (InDels) are the second most abundant molecular marker in the genome and have been widely used in molecular biology research along with simple sequence repeats (SSR) and single-nucleotide polymorphisms (SNP). However, InDel variant mining and marker development usually focuses on a single type of dimorphic InDel, which does not reflect the overall InDel diversity across the genome. Here, we developed Omni InDels for maize, soybean, and rice based on sequencing data and genome assembly that included InDel variants with base lengths from 1 bp to several Mb, and we conducted a detailed classification of Omni InDels. Moreover, we screened a set of InDels that are easily detected and typed (Perfect InDels) from the Omni InDels, verified the site authenticity using 3,587 germplasm resources from 11 groups, and analyzed the germplasm resources. Furthermore, we developed a Multi-InDel set based on the Omni InDels; each Multi-InDel contains multiple InDels, which greatly increases site polymorphism, they can be detected in multiple platforms such as fluorescent capillary electrophoresis and sequencing. Finally, we developed an online database website to make Omni InDels easy to use and share and developed a visual browsing function called “Variant viewer” for all Omni InDel sites to better display the variant distribution. Frontiers Media S.A. 2023-06-28 /pmc/articles/PMC10344896/ /pubmed/37457340 http://dx.doi.org/10.3389/fpls.2023.1216505 Text en Copyright © 2023 Liu, Zhao, Zhang, Xu, Zhou, Yang, Zhao, Zhao and Wang 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 Plant Science
Liu, Zhihao
Zhao, Yikun
Zhang, Yunlong
Xu, Liwen
Zhou, Ling
Yang, Weiguang
Zhao, Han
Zhao, Jiuran
Wang, Fengge
Development of Omni InDel and supporting database for maize
title Development of Omni InDel and supporting database for maize
title_full Development of Omni InDel and supporting database for maize
title_fullStr Development of Omni InDel and supporting database for maize
title_full_unstemmed Development of Omni InDel and supporting database for maize
title_short Development of Omni InDel and supporting database for maize
title_sort development of omni indel and supporting database for maize
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344896/
https://www.ncbi.nlm.nih.gov/pubmed/37457340
http://dx.doi.org/10.3389/fpls.2023.1216505
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