Literature DB >> 31720701

Advances in genome-wide association studies of complex traits in rice.

Qin Wang1, Jiali Tang1, Bin Han2, Xuehui Huang3.   

Abstract

Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect variants associated with a trait in natural populations, are a powerful approach for dissecting complex traits. This genetic mapping approach has been applied in rice over the last 10 years. During the last decade, GWAS was used to identify the loci underlying tens of rice traits, and several important genes were detected in GWAS and further confirmed in follow-up functional experiments. In this review, we present an overview of the whole process in a typical GWAS, including population design, genotyping, phenotyping and analysis methods. Recent advances in rice GWAS are also provided, including several examples of the functional characterization of candidate genes. The possible breakthroughs of rice GWAS in the next decade are discussed with regard to their application in breeding, the consideration of epistatic interactions and in-depth functional annotations of DNA elements and genetic variants throughout the rice genome.

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Year:  2019        PMID: 31720701     DOI: 10.1007/s00122-019-03473-3

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


  12 in total

Review 1.  Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review.

Authors:  Qinlin Xiao; Xiulin Bai; Chu Zhang; Yong He
Journal:  J Adv Res       Date:  2021-05-12       Impact factor: 10.479

Review 2.  Rice functional genomics: decades' efforts and roads ahead.

Authors:  Rongzhi Chen; Yiwen Deng; Yanglin Ding; Jingxin Guo; Jie Qiu; Bing Wang; Changsheng Wang; Yongyao Xie; Zhihua Zhang; Jiaxin Chen; Letian Chen; Chengcai Chu; Guangcun He; Zuhua He; Xuehui Huang; Yongzhong Xing; Shuhua Yang; Daoxin Xie; Yaoguang Liu; Jiayang Li
Journal:  Sci China Life Sci       Date:  2021-12-07       Impact factor: 6.038

3.  Genetic basis underlying tiller angle in rice (Oryza sativa L.) by genome-wide association study.

Authors:  Shaoxing Bai; Jun Hong; Su Su; Zhikang Li; Wensheng Wang; Jianxin Shi; Wanqi Liang; Dabing Zhang
Journal:  Plant Cell Rep       Date:  2022-07-01       Impact factor: 4.964

4.  Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings.

Authors:  Jia Li; Wei Xin; Weiping Wang; Shijiao Zhao; Lu Xu; Xingdong Jiang; Yuxuan Duan; Hongliang Zheng; Luomiao Yang; Hualong Liu; Yan Jia; Detang Zou; Jingguo Wang
Journal:  Rice (N Y)       Date:  2022-10-15       Impact factor: 5.638

5.  A worldwide maize panel revealed new genetic variation for cold tolerance.

Authors:  Q Yi; L Álvarez-Iglesias; R A Malvar; M C Romay; Pedro Revilla
Journal:  Theor Appl Genet       Date:  2021-02-13       Impact factor: 5.699

6.  Genetic dissection of days to flowering via genome-wide association studies in Turkish common bean germplasm.

Authors:  Muhammad Azhar Nadeem; Ephrem Habyarimana; Tolga Karaköy; Faheem Shehzad Baloch
Journal:  Physiol Mol Biol Plants       Date:  2021-07-02

7.  Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential.

Authors:  Jing Su; Kai Xu; Zirong Li; Yuan Hu; Zhongli Hu; Xingfei Zheng; Shufeng Song; Zhonghai Tang; Lanzhi Li
Journal:  Sci Rep       Date:  2021-03-25       Impact factor: 4.379

8.  Genome-Wide Association Study of the Genetic Basis of Effective Tiller Number in Rice.

Authors:  Mengmeng Ren; Minghan Huang; Haiyang Qiu; Yan Chun; Lu Li; Ashmit Kumar; Jingjing Fang; Jinfeng Zhao; Hang He; Xueyong Li
Journal:  Rice (N Y)       Date:  2021-06-25       Impact factor: 4.783

9.  Genome-Wide Association Mapping and Gene Expression Analysis Reveal the Negative Role of OsMYB21 in Regulating Bacterial Blight Resistance in Rice.

Authors:  Wu Yang; Junliang Zhao; Shaohong Zhang; Luo Chen; Tifeng Yang; Jingfang Dong; Hua Fu; Yamei Ma; Lian Zhou; Jian Wang; Wei Liu; Qing Liu; Bin Liu
Journal:  Rice (N Y)       Date:  2021-06-29       Impact factor: 4.783

10.  Potential of rice landraces with strong culms as genetic resources for improving lodging resistance against super typhoons.

Authors:  Tomohiro Nomura; Yoshiaki Seki; Makoto Matsuoka; Kenji Yano; Koki Chigira; Shunsuke Adachi; Francisco J Piñera-Chavez; Matthew Reynolds; Satoshi Ohkubo; Taiichiro Ookawa
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

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