Literature DB >> 33420305

Identification of a novel QTL and candidate gene associated with grain size using chromosome segment substitution lines in rice.

Dianwen Wang1, Wenqiang Sun1, Zhiyang Yuan1, Qiang Sun1, Kai Fan1, Chaopu Zhang1, Sibin Yu2.   

Abstract

Rice is one of the staple crops in the world. Grain size is an important determinant of rice grain yield, but the genetic basis of the grain size remains unclear. Here, we report a set of chromosome segment substitution lines (CSSL) developed in the genetic background of the genome-sequenced indica cultivar Zhenshan 97. Genotyping of the CSSLs by single nucleotide polymorphism array shows that most carry only one or two segments introduced from the genome-sequenced japonica cultivar Nipponbare. Using this population and the high-density markers, a total of 43 quantitative trait loci were identified for seven panicle- and grain-related traits. Among these loci, the novel locus qGL11 for grain length and thousand-grain weight was validated in a CSSL-derived segregating population and finely mapped to a 25-kb region that contains an IAA-amido synthetase gene OsGH3.13, This gene exhibited a significant expression difference in the young panicle between the near-isogenic lines that carry the contrasting Zhenshan 97 and Nipponbare alleles at qGL11. Expression and sequence analyses suggest that this gene is the most likely candidate for qGL11. Furthermore, several OsGH3.13 mutants induced by a CRISPR/Cas9 approach in either japonica or indica exhibit an increased grain length and thousand-grain weight, thus enhancing the final grain yield per plant. These findings provide insights into the genetic basis of grain size for the improvement of yield potential in rice breeding programs.

Entities:  

Year:  2021        PMID: 33420305      PMCID: PMC7794494          DOI: 10.1038/s41598-020-80667-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  46 in total

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Authors:  Concha Domingo; Fernando Andrés; Didier Tharreau; Domingo J Iglesias; Manuel Talón
Journal:  Mol Plant Microbe Interact       Date:  2009-02       Impact factor: 4.171

2.  Characterization of an Arabidopsis enzyme family that conjugates amino acids to indole-3-acetic acid.

Authors:  Paul E Staswick; Bogdan Serban; Martha Rowe; Iskender Tiryaki; Marién T Maldonado; Mitsa C Maldonado; Walter Suza
Journal:  Plant Cell       Date:  2005-01-19       Impact factor: 11.277

3.  Extensive sequence divergence between the reference genomes of two elite indica rice varieties Zhenshan 97 and Minghui 63.

Authors:  Jianwei Zhang; Ling-Ling Chen; Feng Xing; David A Kudrna; Wen Yao; Dario Copetti; Ting Mu; Weiming Li; Jia-Ming Song; Weibo Xie; Seunghee Lee; Jayson Talag; Lin Shao; Yue An; Chun-Liu Zhang; Yidan Ouyang; Shuai Sun; Wen-Biao Jiao; Fang Lv; Bogu Du; Meizhong Luo; Carlos Ernesto Maldonado; Jose Luis Goicoechea; Lizhong Xiong; Changyin Wu; Yongzhong Xing; Dao-Xiu Zhou; Sibin Yu; Yu Zhao; Gongwei Wang; Yeisoo Yu; Yijie Luo; Zhi-Wei Zhou; Beatriz Elena Padilla Hurtado; Ann Danowitz; Rod A Wing; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-17       Impact factor: 11.205

4.  An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL.

Authors:  Y Eshed; D Zamir
Journal:  Genetics       Date:  1995-11       Impact factor: 4.562

5.  Activation of the indole-3-acetic acid-amido synthetase GH3-8 suppresses expansin expression and promotes salicylate- and jasmonate-independent basal immunity in rice.

Authors:  Xinhua Ding; Yinglong Cao; Liling Huang; Jing Zhao; Caiguo Xu; Xianghua Li; Shiping Wang
Journal:  Plant Cell       Date:  2008-01-11       Impact factor: 11.277

6.  Developing high throughput genotyped chromosome segment substitution lines based on population whole-genome re-sequencing in rice (Oryza sativa L.).

Authors:  Jianjun Xu; Qiang Zhao; Peina Du; Chenwu Xu; Baohe Wang; Qi Feng; Qiaoquan Liu; Shuzhu Tang; Minghong Gu; Bin Han; Guohua Liang
Journal:  BMC Genomics       Date:  2010-11-24       Impact factor: 3.969

7.  LSCHL4 from Japonica Cultivar, which is allelic to NAL1, increases yield of indica super rice 93-11.

Authors:  Guang-Heng Zhang; Shu-Yu Li; Li Wang; Wei-Jun Ye; Da-Li Zeng; Yu-Chun Rao; You-Lin Peng; Jiang Hu; Yao-Long Yang; Jie Xu; De-Yong Ren; Zhen-Yu Gao; Li Zhu; Guo-Jun Dong; Xing-Ming Hu; Mei-Xian Yan; Long-Biao Guo; Chuan-You Li; Qian Qian
Journal:  Mol Plant       Date:  2014-05-02       Impact factor: 13.164

8.  Genetic dissection and validation of candidate genes for flag leaf size in rice (Oryza sativa L.).

Authors:  Xinxin Tang; Rong Gong; Wenqiang Sun; Chaopu Zhang; Sibin Yu
Journal:  Theor Appl Genet       Date:  2017-12-07       Impact factor: 5.699

Review 9.  Towards the understanding of complex traits in rice: substantially or superficially?

Authors:  Toshio Yamamoto; Junichi Yonemaru; Masahiro Yano
Journal:  DNA Res       Date:  2009-04-09       Impact factor: 4.458

10.  Genetic Dissection of Seed Storability and Validation of Candidate Gene Associated with Antioxidant Capability in Rice (Oryza sativa L.).

Authors:  Zhiyang Yuan; Kai Fan; Laifu Xia; Xiali Ding; Li Tian; Wenqiang Sun; Hanzi He; Sibin Yu
Journal:  Int J Mol Sci       Date:  2019-09-09       Impact factor: 5.923

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  5 in total

1.  Insights into the Regulation of Rice Seed Storability by Seed Tissue-Specific Transcriptomic and Metabolic Profiling.

Authors:  Fangzhou Liu; Nannan Li; Yuye Yu; Wei Chen; Sibin Yu; Hanzi He
Journal:  Plants (Basel)       Date:  2022-06-14

2.  QTL mapping of drought-related traits in the hybrids of Populus deltoides 'Danhong'×Populus simonii 'Tongliao1'.

Authors:  Changjian Du; Pei Sun; Xingqi Cheng; Lei Zhang; Lijuan Wang; Jianjun Hu
Journal:  BMC Plant Biol       Date:  2022-05-11       Impact factor: 5.260

3.  Identification of Genomic Regions Controlling Chalkiness and Grain Characteristics in a Recombinant Inbred Line Rice Population Based on High-Throughput SNP Markers.

Authors:  Yheni Dwiningsih; Anuj Kumar; Julie Thomas; Charles Ruiz; Jawaher Alkahtani; Abdulrahman Al-Hashimi; Andy Pereira
Journal:  Genes (Basel)       Date:  2021-10-24       Impact factor: 4.096

4.  Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara.

Authors:  Kavitha Beerelli; Divya Balakrishnan; Krishnam Raju Addanki; Malathi Surapaneni; Venkateswara Rao Yadavalli; Sarla Neelamraju
Journal:  Front Plant Sci       Date:  2022-03-09       Impact factor: 5.753

Review 5.  Introgression Lines: Valuable Resources for Functional Genomics Research and Breeding in Rice (Oryza sativa L.).

Authors:  Bo Zhang; Ling Ma; Bi Wu; Yongzhong Xing; Xianjin Qiu
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

  5 in total

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