1. Large-scale phenomics analysis of a T-DNA tagged mutant population
- Author
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Tuan-Hua David Ho, Shu Chen, Ming-Hsin Lai, Ien-Chie Wen, Ming Jen Fan, Liang-Jwu Chen, Hshin-Ping Wu, Shuen-Fang Lo, Yue-Ie C. Hsing, Su-May Yu, Fu-Jin Wei, and Cheng-Chieh Wu
- Subjects
DNA, Bacterial ,Quality Control ,0301 basic medicine ,sequence analysis ,Sequence analysis ,Mutant ,Population ,Health Informatics ,Quantitative trait locus ,Biology ,Data Note ,03 medical and health sciences ,Quantitative Trait, Heritable ,Phenomics ,Databases, Genetic ,education ,Gene ,Genetic Association Studies ,Genetics ,education.field_of_study ,Oryza sativa ,rice ,Genetic Variation ,Reproducibility of Results ,food and beverages ,flanking sequence ,Oryza ,Genomics ,Agricultural biotechnology ,Plants, Genetically Modified ,Computer Science Applications ,Mutagenesis, Insertional ,Plant Breeding ,Phenotype ,030104 developmental biology ,Mutation ,T-DNA insertional mutants ,large-scale phenomics ,Genome, Plant - 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.
- Published
- 2017
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