Cargando…
Large-scale phenomics analysis of a T-DNA tagged mutant population
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 fun...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570018/ https://www.ncbi.nlm.nih.gov/pubmed/28854617 http://dx.doi.org/10.1093/gigascience/gix055 |
_version_ | 1783259099848245248 |
---|---|
author | Wu, Hshin-Ping Wei, Fu-Jin Wu, Cheng-Chieh Lo, Shuen-Fang Chen, Liang-Jwu Fan, Ming-Jen Chen, Shu Wen, Ien-Chie Yu, Su-May Ho, Tuan-Hua David Lai, Ming-Hsin Hsing, Yue-ie C. |
author_facet | Wu, Hshin-Ping Wei, Fu-Jin Wu, Cheng-Chieh Lo, Shuen-Fang Chen, Liang-Jwu Fan, Ming-Jen Chen, Shu Wen, Ien-Chie Yu, Su-May Ho, Tuan-Hua David Lai, Ming-Hsin Hsing, Yue-ie C. |
author_sort | Wu, Hshin-Ping |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5570018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55700182017-08-29 Large-scale phenomics analysis of a T-DNA tagged mutant population Wu, Hshin-Ping Wei, Fu-Jin Wu, Cheng-Chieh Lo, Shuen-Fang Chen, Liang-Jwu Fan, Ming-Jen Chen, Shu Wen, Ien-Chie Yu, Su-May Ho, Tuan-Hua David Lai, Ming-Hsin Hsing, Yue-ie C. Gigascience Data Note 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. Oxford University Press 2017-07-13 /pmc/articles/PMC5570018/ /pubmed/28854617 http://dx.doi.org/10.1093/gigascience/gix055 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Note Wu, Hshin-Ping Wei, Fu-Jin Wu, Cheng-Chieh Lo, Shuen-Fang Chen, Liang-Jwu Fan, Ming-Jen Chen, Shu Wen, Ien-Chie Yu, Su-May Ho, Tuan-Hua David Lai, Ming-Hsin Hsing, Yue-ie C. Large-scale phenomics analysis of a T-DNA tagged mutant population |
title | Large-scale phenomics analysis of a T-DNA tagged mutant population |
title_full | Large-scale phenomics analysis of a T-DNA tagged mutant population |
title_fullStr | Large-scale phenomics analysis of a T-DNA tagged mutant population |
title_full_unstemmed | Large-scale phenomics analysis of a T-DNA tagged mutant population |
title_short | Large-scale phenomics analysis of a T-DNA tagged mutant population |
title_sort | large-scale phenomics analysis of a t-dna tagged mutant population |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570018/ https://www.ncbi.nlm.nih.gov/pubmed/28854617 http://dx.doi.org/10.1093/gigascience/gix055 |
work_keys_str_mv | AT wuhshinping largescalephenomicsanalysisofatdnataggedmutantpopulation AT weifujin largescalephenomicsanalysisofatdnataggedmutantpopulation AT wuchengchieh largescalephenomicsanalysisofatdnataggedmutantpopulation AT loshuenfang largescalephenomicsanalysisofatdnataggedmutantpopulation AT chenliangjwu largescalephenomicsanalysisofatdnataggedmutantpopulation AT fanmingjen largescalephenomicsanalysisofatdnataggedmutantpopulation AT chenshu largescalephenomicsanalysisofatdnataggedmutantpopulation AT wenienchie largescalephenomicsanalysisofatdnataggedmutantpopulation AT yusumay largescalephenomicsanalysisofatdnataggedmutantpopulation AT hotuanhuadavid largescalephenomicsanalysisofatdnataggedmutantpopulation AT laiminghsin largescalephenomicsanalysisofatdnataggedmutantpopulation AT hsingyueiec largescalephenomicsanalysisofatdnataggedmutantpopulation |