Literature DB >> 28346447

Synthetic control of flowering in rice independent of the cultivation environment.

Ryo Okada1, Yasue Nemoto1, Naokuni Endo-Higashi1, Takeshi Izawa1,2.   

Abstract

For genetically homogeneous crops, the timing of flowering is determined largely by the cultivation environment and is strongly associated with the yield and quality of the harvest1. Flowering time and other agronomical traits are often tightly correlated, which can lead to difficulty excluding the effects of flowering time when evaluating the characteristics of different genetic varieties2. Here, we describe the development of transgenic rice plants whose flowering time can be controlled by specific agrochemicals. We first developed non-flowering rice plants by overexpressing a floral repressor gene, Grain number, plant height and heading date 7 (Ghd7)3,4, to inhibit any environmentally induced spontaneous flowering. We then co-transformed plants with a rice florigen gene, Heading date 3a (Hd3a)5, which is induced by the application of specific agrochemicals. This permitted the flowering time to be experimentally controlled regardless of the cultivation environment: some transgenic plants flowered only after agrochemical treatment. Furthermore, plant size and yield-related traits could, in some cases, be increased owing to both a longer duration of vegetative growth and an increased panicle size. This ability to control flowering time experimentally, independently of environmental variables, may lead to production of crops suitable for growth in different climates and facilitate breeding for various agronomical traits.

Entities:  

Mesh:

Year:  2017        PMID: 28346447     DOI: 10.1038/nplants.2017.39

Source DB:  PubMed          Journal:  Nat Plants        ISSN: 2055-0278            Impact factor:   15.793


  7 in total

Review 1.  Understanding Past, and Predicting Future, Niche Transitions based on Grass Flowering Time Variation.

Authors:  Jill C Preston; Siri Fjellheim
Journal:  Plant Physiol       Date:  2020-05-13       Impact factor: 8.340

2.  Genetic Basis Underlying Correlations Among Growth Duration and Yield Traits Revealed by GWAS in Rice (Oryza sativa L.).

Authors:  Fengmei Li; Jianyin Xie; Xiaoyang Zhu; Xueqiang Wang; Yan Zhao; Xiaoqian Ma; Zhanying Zhang; Muhammad A R Rashid; Zhifang Zhang; Linran Zhi; Shuyang Zhang; Jinjie Li; Zichao Li; Hongliang Zhang
Journal:  Front Plant Sci       Date:  2018-05-22       Impact factor: 5.753

3.  Neural Net Classification Combined With Movement Analysis to Evaluate Setaria viridis as a Model System for Time of Day of Anther Appearance.

Authors:  Jigar S Desai; Erin Slabaugh; Donna J Liebelt; Jacob D Fredenberg; Benjamin N Gray; S V Krishna Jagadish; Olivia Wilkins; Colleen J Doherty
Journal:  Front Plant Sci       Date:  2018-10-31       Impact factor: 5.753

Review 4.  Using Biotechnology-Led Approaches to Uplift Cereal and Food Legume Yields in Dryland Environments.

Authors:  Sangam L Dwivedi; Kadambot H M Siddique; Muhammad Farooq; Philip K Thornton; Rodomiro Ortiz
Journal:  Front Plant Sci       Date:  2018-08-27       Impact factor: 5.753

5.  Automatic estimation of heading date of paddy rice using deep learning.

Authors:  Vineeth N Balasubramanian; Wei Guo; Sai Vikas Desai; Tokihiro Fukatsu; Seishi Ninomiya
Journal:  Plant Methods       Date:  2019-07-13       Impact factor: 4.993

6.  Lessons from natural variations: artificially induced heading date variations for improvement of regional adaptation in rice.

Authors:  Yong Hu; Shuangle Li; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2018-10-31       Impact factor: 5.699

7.  Development of transgenic male-sterile rice by using anther-specific promoters identified by comprehensive screening of the gene expression profile database 'RiceXPro'.

Authors:  Maiko Akasaka; Yojiro Taniguchi; Masao Oshima; Kiyomi Abe; Yutaka Tabei; Junichi Tanaka
Journal:  Breed Sci       Date:  2018-08-23       Impact factor: 2.086

  7 in total

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