Literature DB >> 26381647

New insights into the genetic basis of natural chilling and cold shock tolerance in rice by genome-wide association analysis.

Yan Lv1,2, Zilong Guo1,2, Xiaokai Li1,2, Haiyan Ye1,2, Xianghua Li1,2, Lizhong Xiong1,2.   

Abstract

In order to understand cold adaptability and explore additional genetic resources for the cold tolerance improvement of rice, we investigated the genetic variation of 529 rice accessions under natural chilling and cold shock stress conditions at the seedling stage using genome-wide association studies; a total of 132 loci were identified. Among them, 12 loci were common for both chilling and cold shock tolerance, suggesting that rice has a distinct and overlapping genetic response and adaptation to the two stresses. Haplotype analysis of a known gene OsMYB2, which is involved in cold tolerance, revealed indica-japonica differentiation and latitude tendency for the haplotypes of this gene. By checking the subpopulation and geographical distribution of accessions with tolerance or sensitivity under these two stress conditions, we found that the chilling tolerance group, which mainly consisted of japonica accessions, has a wider latitudinal distribution than the chilling sensitivity group. We conclude that the genetic basis of natural chilling stress tolerance in rice is distinct from that of cold shock stress frequently used for low-temperature treatment in the laboratory and the cold adaptability of rice is associated with the subpopulation and latitudinal distribution.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  GWAS; chilling tolerance; cold shock tolerance; geographical distribution; rice; subpopulation distribution

Mesh:

Year:  2015        PMID: 26381647     DOI: 10.1111/pce.12635

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  37 in total

1.  The OsMYB30 Transcription Factor Suppresses Cold Tolerance by Interacting with a JAZ Protein and Suppressing β-Amylase Expression.

Authors:  Yan Lv; Mei Yang; Dan Hu; Zeyu Yang; Siqi Ma; Xianghua Li; Lizhong Xiong
Journal:  Plant Physiol       Date:  2017-01-06       Impact factor: 8.340

2.  Genome-wide identification of MAPK cascade genes reveals the GhMAP3K14-GhMKK11-GhMPK31 pathway is involved in the drought response in cotton.

Authors:  Lin Chen; Heng Sun; Fengjiao Wang; Dandan Yue; Xiankun Shen; Weinan Sun; Xianlong Zhang; Xiyan Yang
Journal:  Plant Mol Biol       Date:  2020-03-14       Impact factor: 4.076

3.  Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.

Authors:  Ehsan Shakiba; Jeremy D Edwards; Farman Jodari; Sara E Duke; Angela M Baldo; Pavel Korniliev; Susan R McCouch; Georgia C Eizenga
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

4.  Trimethylguanosine Synthase1 (TGS1) Is Essential for Chilling Tolerance.

Authors:  Jinpeng Gao; James G Wallis; Jeremy B Jewell; John Browse
Journal:  Plant Physiol       Date:  2017-05-11       Impact factor: 8.340

5.  Identification of Genes Related to Cold Tolerance and a Functional Allele That Confers Cold Tolerance.

Authors:  Ning Xiao; Yong Gao; Huangjun Qian; Qiang Gao; Yunyu Wu; Dongping Zhang; Xiaoxiang Zhang; Ling Yu; Yuhong Li; Cunhong Pan; Guangqing Liu; Changhai Zhou; Min Jiang; Niansheng Huang; Zhengyuan Dai; Chengzhi Liang; Zhou Chen; Jianmin Chen; Aihong Li
Journal:  Plant Physiol       Date:  2018-05-15       Impact factor: 8.340

6.  Overexpression of Arabidopsis ICE1 enhances yield and multiple abiotic stress tolerance in indica rice.

Authors:  Rakesh Kumar Verma; Vinjamuri Venkata Santosh Kumar; Shashank Kumar Yadav; Thiruppathi Senthil Kumar; Mandali Venkateswara Rao; Viswanathan Chinnusamy
Journal:  Plant Signal Behav       Date:  2020-09-12

7.  Overexpressing heat-shock protein OsHSP50.2 improves drought tolerance in rice.

Authors:  Jianhua Xiang; Xinbo Chen; Wei Hu; Yanci Xiang; Mingli Yan; Jieming Wang
Journal:  Plant Cell Rep       Date:  2018-08-11       Impact factor: 4.570

Review 8.  Breeding approaches and genomics technologies to increase crop yield under low-temperature stress.

Authors:  Uday Chand Jha; Abhishek Bohra; Rintu Jha
Journal:  Plant Cell Rep       Date:  2016-11-22       Impact factor: 4.570

9.  Genome-wide association study identifies QTL for thousand grain weight in winter wheat under normal- and late-sown stressed environments.

Authors:  Xiaobo Wang; Panfeng Guan; Mingming Xin; Yongfa Wang; Xiyong Chen; Aiju Zhao; Manshuang Liu; Hongxia Li; Mingyi Zhang; Lahu Lu; Jinbo Zhang; Zhongfu Ni; Yingyin Yao; Zhaorong Hu; Huiru Peng; Qixin Sun
Journal:  Theor Appl Genet       Date:  2020-10-08       Impact factor: 5.699

10.  Regional association analysis coupled with transcriptome analyses reveal candidate genes affecting seed oil accumulation in Brassica napus.

Authors:  Min Yao; Mei Guan; Qian Yang; Luyao Huang; Xinghua Xiong; Habib U Jan; Kai P Voss-Fels; Christian R Werner; Xin He; Wei Qian; Rod J Snowdon; Chunyun Guan; Wei Hua; Lunwen Qian
Journal:  Theor Appl Genet       Date:  2021-03-06       Impact factor: 5.699

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