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Building two indica rice reference genomes with PacBio long-read and Illumina paired-end sequencing data

Over the past 30 years, we have performed many fundamental studies on two Oryza sativa subsp. indica varieties, Zhenshan 97 (ZS97) and Minghui 63 (MH63). To improve the resolution of many of these investigations, we generated two reference-quality reference genome assemblies using the most advanced...

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Detalles Bibliográficos
Autores principales: Zhang, Jianwei, Chen, Ling-Ling, Sun, Shuai, Kudrna, Dave, Copetti, Dario, Li, Weiming, Mu, Ting, Jiao, Wen-Biao, Xing, Feng, Lee, Seunghee, Talag, Jayson, Song, Jia-Ming, Du, Bogu, Xie, Weibo, Luo, Meizhong, Maldonado, Carlos Ernesto, Goicoechea, Jose Luis, Xiong, Lizhong, Wu, Changyin, Xing, Yongzhong, Zhou, Dao-xiu, Yu, Sibin, Zhao, Yu, Wang, Gongwei, Yu, Yeisoo, Luo, Yijie, Hurtado, Beatriz Elena Padilla, Danowitz, Ann, Wing, Rod A., Zhang, Qifa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020871/
https://www.ncbi.nlm.nih.gov/pubmed/27622467
http://dx.doi.org/10.1038/sdata.2016.76
Descripción
Sumario:Over the past 30 years, we have performed many fundamental studies on two Oryza sativa subsp. indica varieties, Zhenshan 97 (ZS97) and Minghui 63 (MH63). To improve the resolution of many of these investigations, we generated two reference-quality reference genome assemblies using the most advanced sequencing technologies. Using PacBio SMRT technology, we produced over 108 (ZS97) and 174 (MH63) Gb of raw sequence data from 166 (ZS97) and 209 (MH63) pools of BAC clones, and generated ~97 (ZS97) and ~74 (MH63) Gb of paired-end whole-genome shotgun (WGS) sequence data with Illumina sequencing technology. With these data, we successfully assembled two platinum standard reference genomes that have been publicly released. Here we provide the full sets of raw data used to generate these two reference genome assemblies. These data sets can be used to test new programs for better genome assembly and annotation, aid in the discovery of new insights into genome structure, function, and evolution, and help to provide essential support to biological research in general.