Wu Hshin-Ping, Wei Fu-Jin, Wu Cheng-Chieh, Lo Shuen-Fang, Chen Liang-Jwu, Fan Ming-Jen, Chen Shu, Wen Ien-Chie, Yu Su-May, Ho Tuan-Hua David, Lai Ming-Hsin, Hsing Yue-Ie C
Institute of Plant and Microbial Biology, Academia Sinica, 128, Section 2, Yien-chu-yuan Road, Nankang, Taipei 115, Taiwan.
Institute of Plant Biology, National Taiwan University, 1, Section 4, Roosevelt Road, Taipei 106, Taiwan.
Gigascience. 2017 Aug 1;6(8):1-7. doi: 10.1093/gigascience/gix055.
Rice, Oryza sativa L., is one of the most important crops in the world. With the rising world population, feeding people in a more sustainable and environmentally friendly way becomes increasingly important. Therefore, the rice research community needs to share resources to better understand the functions of rice genes that are the foundation for future agricultural biotechnology development, and one way to achieve this goal is via the extensive study of insertional mutants. We have constructed a large rice insertional mutant population in a japonica rice variety, Tainung 67. The collection contains about 93 000 mutant lines, among them 85% with phenomics data and 65% with flanking sequence data. We screened the phenotypes of 12 individual plants for each line grown under field conditions according to 68 subcategories and 3 quantitative traits. Both phenotypes and integration sites are searchable in the Taiwan Rice Insertional Mutants Database. Detailed analyses of phenomics data, T-DNA flanking sequences, and whole-genome sequencing data for rice insertional mutants can lead to the discovery of novel genes. In addition, studies of mutant phenotypes can reveal relationships among varieties, cultivation locations, and cropping seasons.
水稻（Oryza sativa L.）是世界上最重要的作物之一。随着世界人口的增长，以更可持续和环境友好的方式养活人们变得越来越重要。因此，水稻研究界需要共享资源，以更好地了解水稻基因的功能，这些基因是未来农业生物技术发展的基础，而实现这一目标的一种方法是通过对插入突变体的广泛研究。我们在粳稻品种台农67中构建了一个大型水稻插入突变体群体。该群体包含约93000个突变株系，其中85%有表型组学数据，65%有侧翼序列数据。我们根据68个亚类和3个数量性状，对田间种植的每个株系的12株单株进行了表型筛选。表型和整合位点均可在台湾水稻插入突变体数据库中查询。对水稻插入突变体的表型组学数据、T-DNA侧翼序列和全基因组测序数据进行详细分析，有助于发现新基因。此外，对突变体表型的研究可以揭示品种、种植地点和种植季节之间的关系。
