Literature DB >> 23295340

Resequencing rice genomes: an emerging new era of rice genomics.

Xuehui Huang1, Tingting Lu, Bin Han.   

Abstract

Rice is a model system for crop genomics studies. Much of the early work on rice genomics focused on analyzing genome-wide genetic variation to further understand rice gene functions in agronomic traits and to generate data and resources for rice research. The advent of next-generation high-throughput DNA sequencing technologies and the completion of high-quality reference genome sequences have enabled the development of sequencing-based genotyping and genome-wide association studies (GWAS) that have significantly advanced rice genetics research. This has led to the emergence of a new era of rice genomics aimed at bridging the knowledge gap between genotype and phenotype in rice. These technologies have also led to pyramid breeding through genomics-assisted selection, which will be useful in breeding elite varieties suitable for sustainable agriculture. Here, we review the recent advances in rice genomics and discuss the future of this line of research.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23295340     DOI: 10.1016/j.tig.2012.12.001

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  41 in total

Review 1.  Legume genomics: understanding biology through DNA and RNA sequencing.

Authors:  Jamie A O'Rourke; Yung-Tsi Bolon; Bruna Bucciarelli; Carroll P Vance
Journal:  Ann Bot       Date:  2014-04-25       Impact factor: 4.357

2.  RiceNet v2: an improved network prioritization server for rice genes.

Authors:  Tak Lee; Taeyun Oh; Sunmo Yang; Junha Shin; Sohyun Hwang; Chan Yeong Kim; Hyojin Kim; Hongseok Shim; Jung Eun Shim; Pamela C Ronald; Insuk Lee
Journal:  Nucleic Acids Res       Date:  2015-03-26       Impact factor: 16.971

3.  Sequencing Crop Genomes: A Gateway to Improve Tropical Agriculture.

Authors:  Gincy Paily Thottathil; Kandakumar Jayasekaran; Ahmad Sofiman Othman
Journal:  Trop Life Sci Res       Date:  2016-02

4.  Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice.

Authors:  Kenji Yano; Eiji Yamamoto; Koichiro Aya; Hideyuki Takeuchi; Pei-Ching Lo; Li Hu; Masanori Yamasaki; Shinya Yoshida; Hidemi Kitano; Ko Hirano; Makoto Matsuoka
Journal:  Nat Genet       Date:  2016-06-20       Impact factor: 38.330

5.  Genome re-sequencing suggested a weedy rice origin from domesticated indica-japonica hybridization: a case study from southern China.

Authors:  Jie Qiu; Jinwen Zhu; Fei Fu; Chu-Yu Ye; Weidi Wang; Linfeng Mao; Zhangxiang Lin; Li Chen; Haiqiang Zhang; Longbiao Guo; Shen Qiang; Yongliang Lu; Longjiang Fan
Journal:  Planta       Date:  2014-09-04       Impact factor: 4.116

Review 6.  Maintenance of genetic diversity through plant-herbivore interactions.

Authors:  Andrew D Gloss; Anna C Nelson Dittrich; Benjamin Goldman-Huertas; Noah K Whiteman
Journal:  Curr Opin Plant Biol       Date:  2013-07-05       Impact factor: 7.834

7.  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

8.  Using euhalophytes to understand salt tolerance and to develop saline agriculture: Suaeda salsa as a promising model.

Authors:  Jie Song; Baoshan Wang
Journal:  Ann Bot       Date:  2014-10-06       Impact factor: 4.357

9.  Core cell cycle regulatory genes in rice and their expression profiles across the growth zone of the leaf.

Authors:  A Pettkó-Szandtner; M Cserháti; R M Barrôco; S Hariharan; D Dudits; G T S Beemster
Journal:  J Plant Res       Date:  2015-10-12       Impact factor: 2.629

10.  Identification of candidate domestication regions in the radish genome based on high-depth resequencing analysis of 17 genotypes.

Authors:  Namshin Kim; Young-Min Jeong; Seongmun Jeong; Goon-Bo Kim; Seunghoon Baek; Young-Eun Kwon; Ara Cho; Sang-Bong Choi; Jiwoong Kim; Won-Jun Lim; Kyoung Hyoun Kim; Won Park; Jae-Yoon Kim; Jin-Hyun Kim; Bomi Yim; Young Joon Lee; Byung-Moon Chun; Young-Pyo Lee; Beom-Seok Park; Hee-Ju Yu; Jeong-Hwan Mun
Journal:  Theor Appl Genet       Date:  2016-07-04       Impact factor: 5.699

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