ArticleGigaScience2017
Large-scale phenomics analysis of a T-DNA tagged mutant population.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Osa-miR7695 enhances transcriptional priming in defense responses against the rice blast fungus.BMC plant biology · 2019Article
- Studies of a rice sterile mutant sstl from the TRIM collection.Botanical studies · 2019Article
- EAT-Rice: A predictive model for flanking gene expression of T-DNA insertion activation-tagged rice mutants by machine learning approaches.PLoS computational biology · 2019Article
- Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.GigaScience · 2019Review
- Whole Genome Characterization of a Few EMS-Induced Mutants of Upland Rice Variety Nagina 22 Reveals a Staggeringly High Frequency of SNPs Which Show High Phenotypic Plasticity Towards the Wild-Type.Frontiers in plant science · 2018Article
- Large-scale phenomics analysis of a T-DNA tagged mutant population.GigaScience · 2017Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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