Literature DB >> 30373760

Genome-Wide Association Studies Reveal the Genetic Basis of Ionomic Variation in Rice.

Meng Yang1, Kai Lu1,2, Fang-Jie Zhao3, Weibo Xie1, Priya Ramakrishna4, Guangyuan Wang1, Qingqing Du1, Limin Liang1, Cuiju Sun1, Hu Zhao1, Zhanyi Zhang1, Zonghao Liu1, Jingjing Tian1, Xin-Yuan Huang3, Wensheng Wang1, Huaxia Dong1, Jintao Hu1, Luchang Ming1, Yongzhong Xing1, Gongwei Wang1, Jinhua Xiao1, David E Salt4, Xingming Lian5.   

Abstract

Rice (Oryza sativa) is an important dietary source of both essential micronutrients and toxic trace elements for humans. The genetic basis underlying the variations in the mineral composition, the ionome, in rice remains largely unknown. Here, we describe a comprehensive study of the genetic architecture of the variation in the rice ionome performed using genome-wide association studies (GWAS) of the concentrations of 17 mineral elements in rice grain from a diverse panel of 529 accessions, each genotyped at ∼6.4 million single nucleotide polymorphism loci. We identified 72 loci associated with natural ionomic variations, 32 that are common across locations and 40 that are common within a single location. We identified candidate genes for 42 loci and provide evidence for the causal nature of three genes, the sodium transporter gene Os-HKT1;5 for sodium, Os-MOLYBDATE TRANSPORTER1;1 for molybdenum, and Grain number, plant height, and heading date7 for nitrogen. Comparison of GWAS data from rice versus Arabidopsis (Arabidopsis thaliana) also identified well-known as well as new candidates with potential for further characterization. Our study provides crucial insights into the genetic basis of ionomic variations in rice and serves as an important foundation for further studies on the genetic and molecular mechanisms controlling the rice ionome.
© 2018 American Society of Plant Biologists. All rights reserved.

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Year:  2018        PMID: 30373760      PMCID: PMC6305983          DOI: 10.1105/tpc.18.00375

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  86 in total

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Journal:  Plant J       Date:  2003-08       Impact factor: 6.417

2.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

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3.  Genetic Architecture of Natural Variation in Rice Chlorophyll Content Revealed by a Genome-Wide Association Study.

Authors:  Quanxiu Wang; Weibo Xie; Hongkun Xing; Ju Yan; Xiangzhou Meng; Xinglei Li; Xiangkui Fu; Jiuyue Xu; Xingming Lian; Sibin Yu; Yongzhong Xing; Gongwei Wang
Journal:  Mol Plant       Date:  2015-03-05       Impact factor: 13.164

4.  Elevated expression of TcHMA3 plays a key role in the extreme Cd tolerance in a Cd-hyperaccumulating ecotype of Thlaspi caerulescens.

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Journal:  Plant J       Date:  2011-04-04       Impact factor: 6.417

Review 5.  Arsenic as a food chain contaminant: mechanisms of plant uptake and metabolism and mitigation strategies.

Authors:  Fang-Jie Zhao; Steve P McGrath; Andrew A Meharg
Journal:  Annu Rev Plant Biol       Date:  2010       Impact factor: 26.379

6.  Inheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana.

Authors:  Xia Shen; Mats Pettersson; Lars Rönnegård; Örjan Carlborg
Journal:  PLoS Genet       Date:  2012-08-02       Impact factor: 5.917

7.  Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism.

Authors:  Fumio Matsuda; Ryo Nakabayashi; Zhigang Yang; Yozo Okazaki; Jun-ichi Yonemaru; Kaworu Ebana; Masahiro Yano; Kazuki Saito
Journal:  Plant J       Date:  2014-11-03       Impact factor: 6.417

8.  Genome-wide association mapping identifies a new arsenate reductase enzyme critical for limiting arsenic accumulation in plants.

Authors:  Dai-Yin Chao; Yi Chen; Jiugeng Chen; Shulin Shi; Ziru Chen; Chengcheng Wang; John M Danku; Fang-Jie Zhao; David E Salt
Journal:  PLoS Biol       Date:  2014-12-02       Impact factor: 8.029

9.  Characterization of a major QTL for manganese accumulation in rice grain.

Authors:  Chaolei Liu; Guang Chen; Yuanyuan Li; Youlin Peng; Anpeng Zhang; Kai Hong; Hongzhen Jiang; Banpu Ruan; Bin Zhang; Shenglong Yang; Zhenyu Gao; Qian Qian
Journal:  Sci Rep       Date:  2017-12-18       Impact factor: 4.379

10.  Salinity tolerance, Na+ exclusion and allele mining of HKT1;5 in Oryza sativa and O. glaberrima: many sources, many genes, one mechanism?

Authors:  John Damien Platten; James A Egdane; Abdelbagi M Ismail
Journal:  BMC Plant Biol       Date:  2013-02-27       Impact factor: 4.215

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  42 in total

1.  Ionomic variation in leaves of 819 plant species growing in the botanical garden of Hokkaido University, Japan.

Authors:  Toshihiro Watanabe; Takayuki Azuma
Journal:  J Plant Res       Date:  2021-01-29       Impact factor: 2.629

2.  Investigation of the genetic diversity of a core collection of japanese rice landraces (JRC) using whole-genome sequencing.

Authors:  N Tanaka; M Shenton; Y Kawahara; M Kumagai; H Sakai; H Kanamori; J Yonemaru; S Fukuoka; K Sugimoto; M Ishimoto; J Wu; K Ebana
Journal:  Plant Cell Physiol       Date:  2020-10-12       Impact factor: 4.927

Review 3.  Targeting Root Ion Uptake Kinetics to Increase Plant Productivity and Nutrient Use Efficiency.

Authors:  Marcus Griffiths; Larry M York
Journal:  Plant Physiol       Date:  2020-02-06       Impact factor: 8.340

4.  Loss of salt tolerance during tomato domestication conferred by variation in a Na+ /K+ transporter.

Authors:  Zhen Wang; Yechun Hong; Guangtao Zhu; Yumei Li; Qingfeng Niu; Juanjuan Yao; Kai Hua; Jinjuan Bai; Yingfang Zhu; Huazhong Shi; Sanwen Huang; Jian-Kang Zhu
Journal:  EMBO J       Date:  2020-03-05       Impact factor: 11.598

5.  Genome-wide identification and function characterization of GATA transcription factors during development and in response to abiotic stresses and hormone treatments in pepper.

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Journal:  J Appl Genet       Date:  2021-02-24       Impact factor: 3.240

6.  Genetic dissection of the shoot and root ionomes of Brassica napus grown with contrasting phosphate supplies.

Authors:  Wei Wang; Guangda Ding; Philip J White; Meng Wang; Jun Zou; Fangsen Xu; John P Hammond; Lei Shi
Journal:  Ann Bot       Date:  2020-06-19       Impact factor: 4.357

7.  Genetic mapping of ionomic quantitative trait loci in rice grain and straw reveals OsMOT1;1 as the putative causal gene for a molybdenum QTL qMo8.

Authors:  Chengcheng Wang; Zhong Tang; Jie-Yun Zhuang; Zhu Tang; Xin-Yuan Huang; Fang-Jie Zhao
Journal:  Mol Genet Genomics       Date:  2019-12-03       Impact factor: 3.291

8.  Genetic architecture of subspecies divergence in trace mineral accumulation and elemental correlations in the rice grain.

Authors:  Yongjun Tan; Liang Sun; Qingnan Song; Donghai Mao; Jieqiang Zhou; Youru Jiang; Jiurong Wang; Tony Fan; Qihong Zhu; Daoyou Huang; Han Xiao; Caiyan Chen
Journal:  Theor Appl Genet       Date:  2019-11-16       Impact factor: 5.699

9.  Genome-wide association mapping for grain manganese in rice (Oryza sativa L.) using a multi-experiment approach.

Authors:  Panthita Ruang-Areerate; Anthony J Travis; Shannon R M Pinson; Lee Tarpley; Georgia C Eizenga; Mary Lou Guerinot; David E Salt; Alex Douglas; Adam H Price; Gareth J Norton
Journal:  Heredity (Edinb)       Date:  2020-11-24       Impact factor: 3.821

10.  Isosmotic Macrocation Variation Modulates Mineral Efficiency, Morpho-Physiological Traits, and Functional Properties in Hydroponically Grown Lettuce Varieties (Lactuca sativa L.).

Authors:  Giandomenico Corrado; Veronica De Micco; Luigi Lucini; Begoña Miras-Moreno; Biancamaria Senizza; Gokhan Zengin; Christophe El-Nakhel; Stefania De Pascale; Youssef Rouphael
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

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