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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...

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Autores principales: 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.
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
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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.
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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
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