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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10344896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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