https://scholars.tari.gov.tw/handle/123456789/1432
Title: | Large-scale phenomics analysis of a T-DNA tagged mutant population | Authors: | Hshin-Ping Wu Fu-Jin Wei Cheng-Chieh Wu Shuen-Fang Lo Liang-Jwu Chen Ming-Jen Fan Shu Chen Ien-Chie Wen Su-May Yu Tuan-Hua David Ho Ming-Hsin Lai Yue-ie C. Hsing |
Keywords: | flanking sequence;large-scale phenomics;rice;sequence analysis;T-DNA insertional mutants | Issue Date: | Jul-2017 | Publisher: | Oxford | Journal Volume: | 6 | Journal Issue: | 8 | Start page/Pages: | 1-7 | Source: | Giga Science | Abstract: | 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. |
URI: | https://scholars.tari.gov.tw/handle/123456789/1432 https://academic.oup.com/gigascience/article/6/8/gix055/3958771 |
ISSN: | 2047-217X | DOI: | 10.1093/gigascience/gix055 |
Appears in Collections: | SCI期刊 |
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