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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.
Afiliación
  • Liu Z; Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
  • Zhao Y; College of Agriculture, Jilin Agricultural University, Changchun, China.
  • Zhang Y; Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
  • Xu L; Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
  • Zhou L; Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
  • Yang W; Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
  • Zhao H; College of Agriculture, Jilin Agricultural University, Changchun, China.
  • Zhao J; Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
  • Wang F; Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
Front Plant Sci ; 14: 1216505, 2023.
Article en En | MEDLINE | ID: mdl-37457340
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2023 Tipo del documento: Article País de afiliación: China