Literature DB >> 21226959

Field transcriptome revealed critical developmental and physiological transitions involved in the expression of growth potential in japonica rice.

Yutaka Sato1, Baltazar Antonio, Nobukazu Namiki, Ritsuko Motoyama, Kazuhiko Sugimoto, Hinako Takehisa, Hiroshi Minami, Kaori Kamatsuki, Makoto Kusaba, Hirohiko Hirochika, Yoshiaki Nagamura.   

Abstract

BACKGROUND: Plant growth depends on synergistic interactions between internal and external signals, and yield potential of crops is a manifestation of how these complex factors interact, particularly at critical stages of development. As an initial step towards developing a systems-level understanding of the biological processes underlying the expression of overall agronomic potential in cereal crops, a high-resolution transcriptome analysis of rice was conducted throughout life cycle of rice grown under natural field conditions.
RESULTS: A wide range of gene expression profiles based on 48 organs and tissues at various developmental stages identified 731 organ/tissue specific genes as well as 215 growth stage-specific expressed genes universally in leaf blade, leaf sheath, and root. Continuous transcriptome profiling of leaf from transplanting until harvesting further elucidated the growth-stage specificity of gene expression and uncovered two major drastic changes in the leaf transcriptional program. The first major change occurred before the panicle differentiation, accompanied by the expression of RFT1, a putative florigen gene in long day conditions, and the downregulation of the precursors of two microRNAs. This transcriptome change was also associated with physiological alterations including phosphate-homeostasis state as evident from the behavior of several key regulators such as miR399. The second major transcriptome change occurred just after flowering, and based on analysis of sterile mutant lines, we further revealed that the formation of strong sink, i.e., a developing grain, is not the major cause but is rather a promoter of this change.
CONCLUSIONS: Our study provides not only the genetic basis for functional genomics in rice but also new insight into understanding the critical physiological processes involved in flowering and seed development, that could lead to novel strategies for optimizing crop productivity.

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Year:  2011        PMID: 21226959      PMCID: PMC3031230          DOI: 10.1186/1471-2229-11-10

Source DB:  PubMed          Journal:  BMC Plant Biol        ISSN: 1471-2229            Impact factor:   4.215


  66 in total

1.  Identification, characterization and interaction of HAP family genes in rice.

Authors:  Thiruvengadam Thirumurugan; Yukihiro Ito; Takahiko Kubo; Akiko Serizawa; Nori Kurata
Journal:  Mol Genet Genomics       Date:  2008-01-09       Impact factor: 3.291

2.  The circadian clock in Arabidopsis roots is a simplified slave version of the clock in shoots.

Authors:  Allan B James; José A Monreal; Gillian A Nimmo; Ciarán L Kelly; Pawel Herzyk; Gareth I Jenkins; Hugh G Nimmo
Journal:  Science       Date:  2008-12-19       Impact factor: 47.728

3.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

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

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

5.  The Arabidopsis NFYA5 transcription factor is regulated transcriptionally and posttranscriptionally to promote drought resistance.

Authors:  Wen-Xue Li; Youko Oono; Jianhua Zhu; Xin-Jian He; Jian-Min Wu; Kei Iida; Xiao-Yan Lu; Xinping Cui; Hailing Jin; Jian-Kang Zhu
Journal:  Plant Cell       Date:  2008-08-05       Impact factor: 11.277

6.  Regulatory network of microRNA399 and PHO2 by systemic signaling.

Authors:  Shu-I Lin; Su-Fen Chiang; Wei-Yi Lin; June-Wei Chen; Ching-Ying Tseng; Pei-Chi Wu; Tzyy-Jen Chiou
Journal:  Plant Physiol       Date:  2008-04-04       Impact factor: 8.340

7.  Refinement of light-responsive transcript lists using rice oligonucleotide arrays: evaluation of gene-redundancy.

Authors:  Ki-Hong Jung; Christopher Dardick; Laura E Bartley; Peijian Cao; Jirapa Phetsom; Patrick Canlas; Young-Su Seo; Michael Shultz; Shu Ouyang; Qiaoping Yuan; Bryan C Frank; Eugene Ly; Li Zheng; Yi Jia; An-Ping Hsia; Kyungsook An; Hui-Hsien Chou; David Rocke; Geun Cheol Lee; Patrick S Schnable; Gynheung An; C Robin Buell; Pamela C Ronald
Journal:  PLoS One       Date:  2008-10-06       Impact factor: 3.240

8.  Various spatiotemporal expression profiles of anther-expressed genes in rice.

Authors:  Tokunori Hobo; Keita Suwabe; Koichiro Aya; Go Suzuki; Kentaro Yano; Takeshi Ishimizu; Masahiro Fujita; Shunsuke Kikuchi; Kazuki Hamada; Masumi Miyano; Tomoaki Fujioka; Fumi Kaneko; Tomohiko Kazama; Yoko Mizuta; Hirokazu Takahashi; Katsuhiro Shiono; Mikio Nakazono; Nobuhiro Tsutsumi; Yoshiaki Nagamura; Nori Kurata; Masao Watanabe; Makoto Matsuoka
Journal:  Plant Cell Physiol       Date:  2008-09-06       Impact factor: 4.927

9.  Comprehensive transcriptome analysis of phytohormone biosynthesis and signaling genes in microspore/pollen and tapetum of rice.

Authors:  Ko Hirano; Koichiro Aya; Tokunori Hobo; Hitoshi Sakakibara; Mikiko Kojima; Rosalyn Angeles Shim; Yasuko Hasegawa; Miyako Ueguchi-Tanaka; Makoto Matsuoka
Journal:  Plant Cell Physiol       Date:  2008-08-20       Impact factor: 4.927

10.  MicroRNA399 is a long-distance signal for the regulation of plant phosphate homeostasis.

Authors:  Bikram Datt Pant; Anja Buhtz; Julia Kehr; Wolf-Rüdiger Scheible
Journal:  Plant J       Date:  2007-11-06       Impact factor: 6.417

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  54 in total

1.  Expression dynamics of metabolic and regulatory components across stages of panicle and seed development in indica rice.

Authors:  Rita Sharma; Pinky Agarwal; Swatismita Ray; Priyanka Deveshwar; Pooja Sharma; Niharika Sharma; Aashima Nijhawan; Mukesh Jain; Ashok Kumar Singh; Vijay Pal Singh; Jitendra Paul Khurana; Akhilesh Kumar Tyagi; Sanjay Kapoor
Journal:  Funct Integr Genomics       Date:  2012-03-31       Impact factor: 3.410

2.  Genes of the RAV Family Control Heading Date and Carpel Development in Rice.

Authors:  Michela Osnato; Luis Matias-Hernandez; Andrea Elizabeth Aguilar-Jaramillo; Martin M Kater; Soraya Pelaz
Journal:  Plant Physiol       Date:  2020-06-18       Impact factor: 8.340

3.  Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions.

Authors:  Yusaku Uga; Kazuhiko Sugimoto; Satoshi Ogawa; Jagadish Rane; Manabu Ishitani; Naho Hara; Yuka Kitomi; Yoshiaki Inukai; Kazuko Ono; Noriko Kanno; Haruhiko Inoue; Hinako Takehisa; Ritsuko Motoyama; Yoshiaki Nagamura; Jianzhong Wu; Takashi Matsumoto; Toshiyuki Takai; Kazutoshi Okuno; Masahiro Yano
Journal:  Nat Genet       Date:  2013-08-04       Impact factor: 38.330

4.  Global transcriptome profile of rice root in response to essential macronutrient deficiency.

Authors:  Hinako Takehisa; Yutaka Sato; Baltazar A Antonio; Yoshiaki Nagamura
Journal:  Plant Signal Behav       Date:  2013-04-19

5.  Identification of grass-specific enzyme that acylates monolignols with p-coumarate.

Authors:  Saunia Withers; Fachuang Lu; Hoon Kim; Yimin Zhu; John Ralph; Curtis G Wilkerson
Journal:  J Biol Chem       Date:  2012-01-21       Impact factor: 5.157

6.  Punctual transcriptional regulation by the rice circadian clock under fluctuating field conditions.

Authors:  Jun Matsuzaki; Yoshihiro Kawahara; Takeshi Izawa
Journal:  Plant Cell       Date:  2015-03-10       Impact factor: 11.277

Review 7.  The role of heavy-metal ATPases, HMAs, in zinc and cadmium transport in rice.

Authors:  Ryuichi Takahashi; Khurram Bashir; Yasuhiro Ishimaru; Naoko K Nishizawa; Hiromi Nakanishi
Journal:  Plant Signal Behav       Date:  2012-10-16

8.  DDM1 (decrease in DNA methylation) genes in rice (Oryza sativa).

Authors:  Hiromi Higo; Muhammad Tahir; Kazuya Takashima; Asuka Miura; Koichi Watanabe; Akemi Tagiri; Masashi Ugaki; Ryuji Ishikawa; Mitsugu Eiguchi; Nori Kurata; Takuji Sasaki; Eric Richards; Makoto Takano; Naoki Kishimoto; Tetsuji Kakutani; Yoshiki Habu
Journal:  Mol Genet Genomics       Date:  2012-08-24       Impact factor: 3.291

9.  Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions.

Authors:  Anne Plessis; Christoph Hafemeister; Olivia Wilkins; Zennia Jean Gonzaga; Rachel Sarah Meyer; Inês Pires; Christian Müller; Endang M Septiningsih; Richard Bonneau; Michael Purugganan
Journal:  Elife       Date:  2015-11-26       Impact factor: 8.140

10.  Tissue-specific expression, developmentally and spatially regulated alternative splicing, and protein subcellular localization of OsLpa rice.

Authors:  Hai-ping Lu; Wei-qin Pang; Wen-xu Li; Yuan-yuan Tan; Qing Wang; Hai-jun Zhao; Qing-yao Shu
Journal:  J Zhejiang Univ Sci B       Date:  2016-02       Impact factor: 3.066

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