Literature DB >> 29409893

Rice Functional Genomics Research: Past Decade and Future.

Yan Li1, Jinghua Xiao1, Lingling Chen1, Xuehui Huang2, Zhukuan Cheng3, Bin Han4, Qifa Zhang5, Changyin Wu6.   

Abstract

Rice (Oryza sativa) is a major staple food crop for more than 3.5 billion people worldwide. Understanding the regulatory mechanisms of complex agronomic traits in rice is critical for global food security. Rice is also a model plant for genomics research of monocotyledons. Thanks to the rapid development of functional genomic technologies, over 2000 genes controlling important agronomic traits have been cloned, and their molecular biological mechanisms have also been partially characterized. Here, we briefly review the advances in rice functional genomics research during the past 10 years, including a summary of functional genomics platforms, genes and molecular regulatory networks that regulate important agronomic traits, and newly developed tools for gene identification. These achievements made in functional genomics research will greatly facilitate the development of green super rice. We also discuss future challenges and prospects of rice functional genomics research.
Copyright © 2018 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Oryza sativa; functional genomics; gene identification; green super rice

Mesh:

Year:  2018        PMID: 29409893     DOI: 10.1016/j.molp.2018.01.007

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  26 in total

Review 1.  Tea plant genomics: achievements, challenges and perspectives.

Authors:  En-Hua Xia; Wei Tong; Qiong Wu; Shu Wei; Jian Zhao; Zheng-Zhu Zhang; Chao-Ling Wei; Xiao-Chun Wan
Journal:  Hortic Res       Date:  2020-01-01       Impact factor: 6.793

2.  A quantitative genomics map of rice provides genetic insights and guides breeding.

Authors:  Xin Wei; Jie Qiu; Kaicheng Yong; Jiongjiong Fan; Qi Zhang; Hua Hua; Jie Liu; Qin Wang; Kenneth M Olsen; Bin Han; Xuehui Huang
Journal:  Nat Genet       Date:  2021-02-01       Impact factor: 38.330

3.  Assessing Rice Salinity Tolerance: From Phenomics to Association Mapping.

Authors:  Nadia Al-Tamimi; Helena Oakey; Mark Tester; Sónia Negrão
Journal:  Methods Mol Biol       Date:  2021

4.  Nitrate-responsive transcriptome analysis reveals additional genes/processes and associated traits viz. height, tillering, heading date, stomatal density and yield in japonica rice.

Authors:  Vikas Kumar Mandal; Annie Prasanna Jangam; Navjyoti Chakraborty; Nandula Raghuram
Journal:  Planta       Date:  2022-01-17       Impact factor: 4.116

Review 5.  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

6.  Rice co-expression network analysis identifies gene modules associated with agronomic traits.

Authors:  Yu Zhang; Ershang Han; Yuming Peng; Yuzhou Wang; Yifan Wang; Zhenxing Geng; Yupu Xu; Haiying Geng; Yangwen Qian; Shisong Ma
Journal:  Plant Physiol       Date:  2022-09-28       Impact factor: 8.005

7.  Incorporation of parental phenotypic data into multi-omic models improves prediction of yield-related traits in hybrid rice.

Authors:  Yang Xu; Yue Zhao; Xin Wang; Ying Ma; Pengcheng Li; Zefeng Yang; Xuecai Zhang; Chenwu Xu; Shizhong Xu
Journal:  Plant Biotechnol J       Date:  2020-09-02       Impact factor: 9.803

8.  CRISPR-Cas9 mediated genome editing of drought and salt tolerance (OsDST) gene in indica mega rice cultivar MTU1010.

Authors:  V V Santosh Kumar; Rakesh Kumar Verma; Shashank Kumar Yadav; Pragya Yadav; Archana Watts; M V Rao; Viswanathan Chinnusamy
Journal:  Physiol Mol Biol Plants       Date:  2020-05-10

9.  Selenium downregulates auxin and ethylene biosynthesis in rice seedlings to modify primary metabolism and root architecture.

Authors:  Rafael S P Malheiros; Lucas C Costa; Rodrigo T Ávila; Thaline M Pimenta; Lubia S Teixeira; Fred A L Brito; Agustín Zsögön; Wagner L Araújo; Dimas M Ribeiro
Journal:  Planta       Date:  2019-04-27       Impact factor: 4.116

10.  Transcriptomic Analysis of Rice Plants Overexpressing PsGAPDH in Response to Salinity Stress.

Authors:  Hyemin Lim; Hyunju Hwang; Taelim Kim; Soyoung Kim; Hoyong Chung; Daewoo Lee; Soorin Kim; Soochul Park; Woosuk Cho; Hyeonso Ji; Gangseob Lee
Journal:  Genes (Basel)       Date:  2021-04-25       Impact factor: 4.096

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