ArticlePlant molecular biology2007
A rice phenomics study--phenotype scoring and seed propagation of a T-DNA insertion-induced rice mutant population.
Article in Plant molecular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Large-Scale Rice Mutant Establishment and High-Throughput Mutant Manipulation Help Advance Rice Functional Genomics.Plants (Basel, Switzerland) · 2025Review
- Characterization of Cell Wall Compositions of Sodium Azide-Induced Brittle Mutant Lines in IR64 Variety and Its Potential Application.Plants (Basel, Switzerland) · 2024Article
- Assessment of efficacy of mutagenesis of gamma-irradiation in plant height and days to maturity through expression analysis in rice.PloS one · 2021Article
- Large-scale phenomics analysis of a T-DNA tagged mutant population.GigaScience · 2017Article
- An ABC Transporter Is Involved in the Silicon-Induced Formation of Casparian Bands in the Exodermis of Rice.Frontiers in plant science · 2017Article
- Lack of Genotype and Phenotype Correlation in a Rice T-DNA Tagged Line Is Likely Caused by Introgression in the Seed Source.PloS one · 2016Article
- Gene Overexpression Resources in Cereals for Functional Genomics and Discovery of Useful Genes.Frontiers in plant science · 2016Review
- A comparative analysis of insertional effects in genetically engineered plants: considerations for pre-market assessments.Transgenic research · 2015Review
- A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices.Plant methods · 2015Article
- A review of imaging techniques for plant phenotyping.Sensors (Basel, Switzerland) · 2014Review
- Article
- International Consortium of Rice Mutagenesis: resources and beyond.Rice (New York, N.Y.) · 2013Article
- Analysis of the early-flowering mechanisms and generation of T-DNA tagging lines in Kitaake, a model rice cultivar.Journal of experimental botany · 2013Article
- Growth platform-dependent and -independent phenotypic and metabolic responses of Arabidopsis and its halophytic relative, Eutrema salsugineum, to salt stress.Plant physiology · 2013Article
- OGRO: The Overview of functionally characterized Genes in Rice online database.Rice (New York, N.Y.) · 2012Article
- A rice DEAD-box protein, OsRH36, can complement an Arabidopsis atrh36 mutant, but cannot functionally replace its yeast homolog Dbp8p.Plant molecular biology · 2010Article
- Natural and artificial mutants as valuable resources for functional genomics and molecular breeding.International journal of biological sciences · 2010Review
- Phenome analysis in plant species using loss-of-function and gain-of-function mutants.Plant & cell physiology · 2009Review
- Mutant resources in rice for functional genomics of the grasses.Plant physiology · 2009Article
- Activation tagging, an efficient tool for functional analysis of the rice genome.Plant molecular biology · 2009Article
Corrections and comments
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the completion of the rice genome sequencing project, the next major challenge is the large-scale determination of gene function. As an important crop and a model organism, rice provides major insights into gene functions important for crop growth or production. Phenomics with detailed information about tagged populations provides a good tool for functional genomics analysis. By a T-DNA insertional mutagenesis approach, we have generated a rice mutant population containing 55,000 promoter trap and gene activation or knockout lines. Approximately 20,000 of these lines have known integration sites. The T0 and T1 plants were grown in net "houses" for two cropping seasons each year since 2003, with the mutant phenotypes recorded. Detailed data describing growth and development of these plants, in 11 categories and 65 subcategories, over the entire four-month growing season are available in a searchable database, along with the genetic segregation information and flanking sequence data. With the detailed data from more than 20,000 T1 lines and 12 plants per line, we estimated the mutation rates of the T1 population, as well the frequency of the dominant T0 mutants. The correlations among different mutation phenotypes are also calculated. Together, the information about mutant lines, their integration sites, and the phenotypes make this collection, the Taiwan Rice Insertion Mutants (TRIM), a good resource for rice phenomics study. Ten T2 seeds per line can be distributed to researchers upon request.
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