Literature DB >> 21805338

Seed size is determined by the combinations of the genes controlling different seed characteristics in rice.

Song Yan1, Guihua Zou, Sujuan Li, Hua Wang, Heqin Liu, Guowei Zhai, Peng Guo, Hongmiao Song, Changjie Yan, Yuezhi Tao.   

Abstract

Rice seed size is an important agronomic trait in determining the yield potential, and four seed size related genes (GS3, GW2, qSW5/GW5 and GIF1) have been cloned in rice so far. However, the relationship among these four genes is still unclear, which will impede the process of gene pyramiding breeding program to some extent. To shade light on the relationship of above four genes, gene expression analysis was performed with GS3-RNAi, GW2-RNAi lines and CSSL of qSW5 at the transcriptional level. The results clearly showed that qSW5 and GW2 positively regulate the expression of GS3. Meanwhile, qSW5 can be down-regulated by repression of GW2 transcription. Additionally, GIF1 expression was found to be positively regulated by qSW5 but negatively by GW2 and GS3. Moreover, the allelic effects of qSW5 and GS3 were detailedly characterized based on a natural population consisting of 180 rice cultivars. It was indicated that mutual interactions exist between the two genes, in which, qSW5 affecting seed length is masked by GS3 alleles, and GS3 affecting seed width is masked by qSW5 alleles. These findings provide more insights into the molecular mechanisms underlying seed size development in rice and are likely to be useful for improving rice grain yield.

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Year:  2011        PMID: 21805338     DOI: 10.1007/s00122-011-1657-x

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  27 in total

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Journal:  Nat Genet       Date:  2007-04-08       Impact factor: 38.330

2.  Deletion in a gene associated with grain size increased yields during rice domestication.

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Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

3.  Isolation and initial characterization of GW5, a major QTL associated with rice grain width and weight.

Authors:  Jianfeng Weng; Suhai Gu; Xiangyuan Wan; He Gao; Tao Guo; Ning Su; Cailin Lei; Xin Zhang; Zhijun Cheng; Xiuping Guo; Jiulin Wang; Ling Jiang; Huqu Zhai; Jianmin Wan
Journal:  Cell Res       Date:  2008-12       Impact factor: 25.617

4.  Control of rice grain-filling and yield by a gene with a potential signature of domestication.

Authors:  Ertao Wang; Jianjun Wang; Xudong Zhu; Wei Hao; Linyou Wang; Qun Li; Lixia Zhang; Wei He; Baorong Lu; Hongxuan Lin; Hong Ma; Guiquan Zhang; Zuhua He
Journal:  Nat Genet       Date:  2008-09-28       Impact factor: 38.330

5.  From genotype to phenotype: systems biology meets natural variation.

Authors:  Philip N Benfey; Thomas Mitchell-Olds
Journal:  Science       Date:  2008-04-25       Impact factor: 47.728

6.  Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.

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Journal:  Theor Appl Genet       Date:  2005-12-06       Impact factor: 5.699

7.  Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.

Authors:  M J Thomson; T H Tai; A M McClung; X-H Lai; M E Hinga; K B Lobos; Y Xu; C P Martinez; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-05-08       Impact factor: 5.699

8.  Quantitative trait loci (QTL) analysis for rice grain width and fine mapping of an identified QTL allele gw-5 in a recombination hotspot region on chromosome 5.

Authors:  Xiangyuan Wan; Jianfeng Weng; Huqu Zhai; Jiankang Wang; Cailin Lei; Xiaolu Liu; Tao Guo; Ling Jiang; Ning Su; Jianmin Wan
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

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Authors:  Joanne M O'Leary; John M Hamilton; Charlotte M Deane; Najl V Valeyev; Linda J Sandell; A Kristina Downing
Journal:  J Biol Chem       Date:  2004-10-01       Impact factor: 5.157

10.  Evolutionary history of GS3, a gene conferring grain length in rice.

Authors:  Noriko Takano-Kai; Hui Jiang; Takahiko Kubo; Megan Sweeney; Takashi Matsumoto; Hiroyuki Kanamori; Badri Padhukasahasram; Carlos Bustamante; Atsushi Yoshimura; Kazuyuki Doi; Susan McCouch
Journal:  Genetics       Date:  2009-06-08       Impact factor: 4.562

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  29 in total

1.  Genome mapping of quantitative trait loci (QTL) controlling domestication traits of intermediate wheatgrass (Thinopyrum intermedium).

Authors:  Steve Larson; Lee DeHaan; Jesse Poland; Xiaofei Zhang; Kevin Dorn; Traci Kantarski; James Anderson; Jeremy Schmutz; Jane Grimwood; Jerry Jenkins; Shengqiang Shu; Jared Crain; Matthew Robbins; Kevin Jensen
Journal:  Theor Appl Genet       Date:  2019-06-06       Impact factor: 5.699

2.  Rare allele of OsPPKL1 associated with grain length causes extra-large grain and a significant yield increase in rice.

Authors:  Xiaojun Zhang; Jianfei Wang; Ji Huang; Hongxia Lan; Cailin Wang; Congfei Yin; Yunyu Wu; Haijuan Tang; Qian Qian; Jiayang Li; Hongsheng Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-12       Impact factor: 11.205

3.  The gs3 allele from a large-grain rice cultivar, Akita 63, increases yield and improves nitrogen-use efficiency.

Authors:  Dong-Kyung Yoon; Mao Suganami; Keiki Ishiyama; Takaaki Kagawa; Marin Tanaka; Rina Nagao; Daisuke Takagi; Hiroyuki Ishida; Yuji Suzuki; Tadahiko Mae; Amane Makino; Mitsuhiro Obara
Journal:  Plant Direct       Date:  2022-07-17

4.  Genetic dissection on rice grain shape by the two-dimensional image analysis in one japonica × indica population consisting of recombinant inbred lines.

Authors:  Changbin Yin; Huihui Li; Shanshan Li; Lidong Xu; Zhigang Zhao; Jiankang Wang
Journal:  Theor Appl Genet       Date:  2015-07-02       Impact factor: 5.699

5.  Influence of Multi-Gene Allele Combinations on Grain Size of Rice and Development of a Regression Equation Model to Predict Grain Parameters.

Authors:  Chan-Mi Lee; Jonghwa Park; Backki Kim; Jeonghwan Seo; Gileung Lee; Su Jang; Hee-Jong Koh
Journal:  Rice (N Y)       Date:  2015-10-30       Impact factor: 4.783

6.  Development and validation of allele-specific SNP/indel markers for eight yield-enhancing genes using whole-genome sequencing strategy to increase yield potential of rice, Oryza sativa L.

Authors:  Sung-Ryul Kim; Joie Ramos; Motoyuki Ashikari; Parminder S Virk; Edgar A Torres; Eero Nissila; Sherry Lou Hechanova; Ramil Mauleon; Kshirod K Jena
Journal:  Rice (N Y)       Date:  2016-03-18       Impact factor: 4.783

7.  Genome-Wide Association Study of Grain Appearance and Milling Quality in a Worldwide Collection of Indica Rice Germplasm.

Authors:  Xianjin Qiu; Yunlong Pang; Zhihua Yuan; Danying Xing; Jianlong Xu; Michael Dingkuhn; Zhikang Li; Guoyou Ye
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

8.  Genome wide association study of agronomic and seed traits in a world collection of proso millet (Panicum miliaceum L.).

Authors:  Sameh Boukail; Mercy Macharia; Mara Miculan; Alberto Masoni; Alessandro Calamai; Enrico Palchetti; Matteo Dell'Acqua
Journal:  BMC Plant Biol       Date:  2021-07-09       Impact factor: 4.215

9.  QTL mapping reveals a tight linkage between QTLs for grain weight and panicle spikelet number in rice.

Authors:  Xiao Luo; Shi-Dong Ji; Ping-Rong Yuan; Hyun-Sook Lee; Dong-Min Kim; Sangshetty Balkunde; Ju-Won Kang; Sang-Nag Ahn
Journal:  Rice (N Y)       Date:  2013-11-28       Impact factor: 4.783

10.  Defining the genome structure of 'Tongil' rice, an important cultivar in the Korean "Green Revolution".

Authors:  Backki Kim; Dong-Gwan Kim; Gileung Lee; Jeonghwan Seo; Ik-Young Choi; Beom-Soon Choi; Tae-Jin Yang; Kwang Soo Kim; Joohyun Lee; Joong Hyoun Chin; Hee-Jong Koh
Journal:  Rice (N Y)       Date:  2014-09-14       Impact factor: 4.783

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