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Mol Plant. 2018 Mar 5;11(3):359-380. doi: 10.1016/j.molp.2018.01.007. Epub 2018 Feb 1.

Rice Functional Genomics Research: Past Decade and Future.

Author information

1
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China.
2
College of Life and Environment Sciences, Shanghai Normal University, Shanghai 200234, China.
3
National Center for Plant Gene Research, State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
4
National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China.
5
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China. Electronic address: qifazh@mail.hzau.edu.cn.
6
National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China. Electronic address: cywu@mail.hzau.edu.cn.

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.

KEYWORDS:

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

PMID:
29409893
DOI:
10.1016/j.molp.2018.01.007
[Indexed for MEDLINE]
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