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Large-scale phenomics analysis of a T-DNA tagged mutant population
Author(s) -
HshinPing Wu,
FuJin Wei,
ChengChieh Wu,
ShuenFang Lo,
LiangJwu Chen,
MingJen Fan,
Shu Chen,
IenChie Wen,
SuMay Yu,
TuanHua David Ho,
MingHsin Lai,
YueIe Hsing
Publication year - 2017
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/gix055
Subject(s) - phenomics , oryza sativa , insertional mutagenesis , population , biology , mutant , genetics , transposable element , genome , gene , computational biology , microbiology and biotechnology , genomics , demography , sociology
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.

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