Literature DB >> 22419825

Efficacy of microarray profiling data combined with QTL mapping for the identification of a QTL gene controlling the initial growth rate in rice.

Kenji Yano1, Tomonori Takashi, Shiro Nagamatsu, Mikiko Kojima, Hitoshi Sakakibara, Hidemi Kitano, Makoto Matsuoka, Koichiro Aya.   

Abstract

Seedling vigor, which is controlled by many quantitative trait loci (QTLs), is one of several important agronomic traits for direct-seedling rice systems. However, isolating these QTL genes is laborious and expensive. Here, we combined QTL mapping and microarray profiling to identify QTL genes for seedling vigor. By performing QTL mapping using 82 backcross inbred lines (BILs) of the Koshihikari (japonica) and Habataki (indica) cultivars for the rice initial growth, we identified two QTLs, early-stage plant development1/2 (qEPD1 and qEPD2), whose Koshihikari alleles promote plant height and/or leaf sheath length. Phenotypic analysis of the two substituted lines carrying the Habataki qEPD1 or qEPD2 allele revealed that qEPD2 functioned more dominantly for the initial growth of rice. From the microarray experiment, 55 and 45 candidate genes were found in the qEPD1 and qEPD2 genomic regions, which are expressed differentially between each substitution line (SL) and Koshihikari. Gibberellin 20 oxidase-2 (OsGA20ox2), which is identical to Semi Dwarf1 (SD1), was included among the 55 candidate genes of qEPD1, whereas its paralog, OsGA20ox1, was included among the 45 candidate genes of qEPD2. Consistently, introduction of the Koshihikari OsGA20ox1 allele into SL(qEPD2) increaseed its plant height and leaf sheath length significantly relative to the introduction of the Habataki OsGA20ox1 allele. Therefore, microarray profiling could be useful for rapidly screening QTL candidate genes. We concluded that OsGA20ox1 and OsGA20ox2 (SD1) function during the initial growth of rice, but OsGA20ox1 plays a dominant role in increasing plant height and leaf sheath length at the initial growth stage.

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Year:  2012        PMID: 22419825     DOI: 10.1093/pcp/pcs027

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  14 in total

1.  Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress.

Authors:  Dan Zhang; Hengyou Zhang; Shanshan Chu; Hongyan Li; Yingjun Chi; Daniella Triebwasser-Freese; Haiyan Lv; Deyue Yu
Journal:  Plant Mol Biol       Date:  2016-11-04       Impact factor: 4.076

2.  OsGA20ox1, a candidate gene for a major QTL controlling seedling vigor in rice.

Authors:  Akira Abe; Hiroki Takagi; Takahiro Fujibe; Koichiro Aya; Mikiko Kojima; Hitoshi Sakakibara; Aiko Uemura; Makoto Matsuoka; Ryohei Terauchi
Journal:  Theor Appl Genet       Date:  2012-04-06       Impact factor: 5.699

3.  Genetic analysis for rice seedling vigor and fine mapping of a major QTL qSSL1b for seedling shoot length.

Authors:  Anpeng Zhang; Chaolei Liu; Guang Chen; Kai Hong; Yang Gao; Peng Tian; Youlin Peng; Bin Zhang; Banpu Ruan; Hongzhen Jiang; Longbiao Guo; Qian Qian; Zhenyu Gao
Journal:  Breed Sci       Date:  2017-05-30       Impact factor: 2.086

4.  eQTLs Regulating Transcript Variations Associated with Rapid Internode Elongation in Deepwater Rice.

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Journal:  Front Plant Sci       Date:  2017-10-13       Impact factor: 5.753

5.  A novel functional gene associated with cold tolerance at the seedling stage in rice.

Authors:  Junliang Zhao; Shaohong Zhang; Jingfang Dong; Tifeng Yang; Xingxue Mao; Qing Liu; Xiaofei Wang; Bin Liu
Journal:  Plant Biotechnol J       Date:  2017-03-30       Impact factor: 9.803

6.  The opening of phenome-assisted selection era in the early seedling stage.

Authors:  Song Lim Kim; Yong Suk Chung; Renato Rodrigues Silva; Hyeonso Ji; Hongseok Lee; Inchan Choi; Nyunhee Kim; Eungyeong Lee; JeongHo Baek; Gang-Seob Lee; Taek-Ryoun Kwon; Kyung-Hwan Kim
Journal:  Sci Rep       Date:  2019-07-09       Impact factor: 4.379

7.  Quantitative Trait Locus Analysis of Seed Germination and Early Seedling Growth in Rice.

Authors:  Jing Yang; Guili Yang; Meng Yang; Ling Su; Aoyun Xia; Dandan Li; Cuihong Huang; Danhua Zhou; Yongzhu Liu; Hui Wang; Zhiqiang Chen; Tao Guo
Journal:  Front Plant Sci       Date:  2019-12-13       Impact factor: 5.753

8.  Genetic characterization and fine mapping for multi-inflorescence in Brassica napus L.

Authors:  Yongjing Zhang; Qinfei Li; Yixin Cui; Zhi Liu; Zhifu Chen; Yajun He; Jiaqin Mei; Qing Xiong; Xiaorong Li; Wei Qian
Journal:  Theor Appl Genet       Date:  2018-08-02       Impact factor: 5.699

Review 9.  Application of resequencing to rice genomics, functional genomics and evolutionary analysis.

Authors:  Longbiao Guo; Zhenyu Gao; Qian Qian
Journal:  Rice (N Y)       Date:  2014-07-08       Impact factor: 4.783

10.  Transcriptomic analysis comparing stay-green and senescent Sorghum bicolor lines identifies a role for proline biosynthesis in the stay-green trait.

Authors:  Stephanie M Johnson; Ian Cummins; Fei Ling Lim; Antoni R Slabas; Marc R Knight
Journal:  J Exp Bot       Date:  2015-08-28       Impact factor: 6.992

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