Literature DB >> 17922261

Global functional analyses of rice promoters by genomics approaches.

Su-May Yu1, Swee-Suak Ko, Chwan-Yang Hong, Hsou-Jan Sun, Yue-Ie Hsing, Chii-Gong Tong, Tuan-Hua David Ho.   

Abstract

Promoters play key roles in conferring temporal, spatial, chemical, developmental, or environmental regulation of gene expression. Promoters that are subject to specific regulations are useful for manipulating foreign gene expression in plant cells, tissues, or organs with desirable patterns and under controlled conditions, and have been important for both basic research and applications in agriculture biotechnology. Recent advances in genomics technologies have greatly facilitated identification and study of promoters in a genome scale with high efficiency. Previously we have generated a large T-DNA tagged rice mutant library (TRIM), in which the T-DNA was designed with a gene/promoter trap system, by placing a promoter-less GUS gene next to the right border of T-DNA. GUS activity screens of this library offer in situ and in planta identifications and analyses of promoter activities in their native configurations in the rice genome. In the present study, we systematically performed GUS activity screens of the rice mutant library for genes/promoters constitutively, differentially, or specifically active in vegetative and reproductive tissues. More than 8,200 lines have been screened, and 11% and 22% of them displayed GUS staining in vegetative tissues and in flowers, respectively. Among the vegetative tissue active promoters, the ratio of leaf active versus root active is about 1.6. Interestingly, all the flower active promoters are anther active, but with varied activities in different flower tissues. To identify tissue specific ABA/stress up-regulated promoters, we compared microarray data of ABA/stress induced genes with those of tissue-specific expression determined by promoter trap GUS staining. Following this approach, we showed that the peroxidase 1 gene promoter was ABA up-regulated by 4 fold within 1 day of exposure to ABA and its expression is lateral root specific. We suggest that this be an easy bioinformatics approach in identifying tissue/cell type specific promoters that are up-regulated by hormones or other factors.

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Year:  2007        PMID: 17922261     DOI: 10.1007/s11103-007-9232-1

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  11 in total

1.  T-DNA insertional mutagenesis for functional genomics in rice.

Authors:  J S Jeon; S Lee; K H Jung; S H Jun; D H Jeong; J Lee; C Kim; S Jang; K Yang; J Nam; K An; M J Han; R J Sung; H S Choi; J H Yu; J H Choi; S Y Cho; S S Cha; S I Kim; G An
Journal:  Plant J       Date:  2000-06       Impact factor: 6.417

2.  Characterization of a rice chlorophyll-deficient mutant using the T-DNA gene-trap system.

Authors:  Ki-Hong Jung; Junghe Hur; Choong-Hwan Ryu; Youngju Choi; Yong-Yoon Chung; Akio Miyao; Hirohiko Hirochika; Gynheung An
Journal:  Plant Cell Physiol       Date:  2003-05       Impact factor: 4.927

3.  High throughput T-DNA insertion mutagenesis in rice: a first step towards in silico reverse genetics.

Authors:  Christophe Sallaud; Céline Gay; Pierre Larmande; Martine Bès; Pietro Piffanelli; Benoit Piégu; Gaétan Droc; Farid Regad; Emmanuelle Bourgeois; Donaldo Meynard; Christophe Périn; Xavier Sabau; Alain Ghesquière; Jean Christophe Glaszmann; Michel Delseny; Emmanuel Guiderdoni
Journal:  Plant J       Date:  2004-08       Impact factor: 6.417

Review 4.  High-throughput RNA isolation technologies. New tools for high-resolution gene expression profiling in plant systems.

Authors:  Ji-Young Lee; Mitchell Levesque; Philip N Benfey
Journal:  Plant Physiol       Date:  2005-06       Impact factor: 8.340

5.  Generation of a flanking sequence-tag database for activation-tagging lines in japonica rice.

Authors:  Dong-Hoon Jeong; Suyoung An; Sunhee Park; Hong-Gyu Kang; Gi-Gyeong Park; Sung-Ryul Kim; Jayeon Sim; Young-Ock Kim; Min-Kyung Kim; Seong-Ryong Kim; Joowon Kim; Moonsoo Shin; Mooyoung Jung; Gynheung An
Journal:  Plant J       Date:  2006-01       Impact factor: 6.417

6.  A rice gene activation/knockout mutant resource for high throughput functional genomics.

Authors:  Yue-Ie Hsing; Chyr-Guan Chern; Ming-Jen Fan; Po-Chang Lu; Ku-Ting Chen; Shuen-Fang Lo; Peng-Kai Sun; Shin-Lon Ho; Kuo-Wei Lee; Yi-Chieh Wang; Wen-Lii Huang; Swee-Suak Ko; Shu Chen; Jyh-Long Chen; Chun-I Chung; Yao-Cheng Lin; Ai-Ling Hour; Yet-Walt Wang; Ya-Chi Chang; Min-Wei Tsai; Yi-Show Lin; Yin-Chin Chen; Hsing-Mu Yen; Charng-Pei Li; Chiu-Kai Wey; Ching-Shan Tseng; Ming-Hsing Lai; Sheng-Chung Huang; Liang-Jwu Chen; Su-May Yu
Journal:  Plant Mol Biol       Date:  2006-11-21       Impact factor: 4.076

7.  T-DNA insertional mutagenesis for activation tagging in rice.

Authors:  Dong-Hoon Jeong; Suyoung An; Hong-Gyu Kang; Sunok Moon; Jong-Jin Han; Sunhee Park; Hyun Sook Lee; Kyungsook An; Gynheung An
Journal:  Plant Physiol       Date:  2002-12       Impact factor: 8.340

8.  The map-based sequence of the rice genome.

Authors: 
Journal:  Nature       Date:  2005-08-11       Impact factor: 49.962

9.  Collection, mapping, and annotation of over 28,000 cDNA clones from japonica rice.

Authors:  Shoshi Kikuchi; Kouji Satoh; Toshifumi Nagata; Nobuyuki Kawagashira; Koji Doi; Naoki Kishimoto; Junshi Yazaki; Masahiro Ishikawa; Hitomi Yamada; Hisako Ooka; Isamu Hotta; Keiichi Kojima; Takahiro Namiki; Eisuke Ohneda; Wataru Yahagi; Kohji Suzuki; Chao Jie Li; Kenji Ohtsuki; Toru Shishiki; Yasuhiro Otomo; Kazuo Murakami; Yoshiharu Iida; Sumio Sugano; Tatsuto Fujimura; Yutaka Suzuki; Yuki Tsunoda; Takashi Kurosaki; Takeko Kodama; Hiromi Masuda; Michie Kobayashi; Quihong Xie; Min Lu; Ryuya Narikawa; Akio Sugiyama; Kouichi Mizuno; Satoko Yokomizo; Junko Niikura; Rieko Ikeda; Junya Ishibiki; Midori Kawamata; Akemi Yoshimura; Junichirou Miura; Takahiro Kusumegi; Mitsuru Oka; Risa Ryu; Mariko Ueda; Kenichi Matsubara; Jun Kawai; Piero Carninci; Jun Adachi; Katsunori Aizawa; Takahiro Arakawa; Shiro Fukuda; Ayako Hara; Wataru Hashizume; Norihito Hayatsu; Koichi Imotani; Yoshiyuki Ishii; Masayoshi Itoh; Ikuko Kagawa; Shinji Kondo; Hideaki Konno; Ai Miyazaki; Naoki Osato; Yoshimi Ota; Rintaro Saito; Daisuke Sasaki; Kenjiro Sato; Kazuhiro Shibata; Akira Shinagawa; Toshiyuki Shiraki; Masayasu Yoshino; Yoshihide Hayashizaki; Ayako Yasunishi
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

10.  Effect of early cold stress on the maturation of rice anthers.

Authors:  Nijat Imin; Tursun Kerim; Barry G Rolfe; Jeremy J Weinman
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

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  5 in total

1.  Sugarcane DIRIGENT and O-methyltransferase promoters confer stem-regulated gene expression in diverse monocots.

Authors:  Mona B Damaj; Siva P Kumpatla; Chandrakanth Emani; Phillip D Beremand; Avutu S Reddy; Keerti S Rathore; Marco T Buenrostro-Nava; Ian S Curtis; Terry L Thomas; T Erik Mirkov
Journal:  Planta       Date:  2010-03-30       Impact factor: 4.116

2.  Comparative functional analysis of six drought-responsive promoters in transgenic rice.

Authors:  Kazuo Nakashima; Asad Jan; Daisuke Todaka; Kyonoshin Maruyama; Shingo Goto; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki
Journal:  Planta       Date:  2013-09-24       Impact factor: 4.116

3.  Generation and characterization of the Western Regional Research Center Brachypodium T-DNA insertional mutant collection.

Authors:  Jennifer N Bragg; Jiajie Wu; Sean P Gordon; Mara E Guttman; Roger Thilmony; Gerard R Lazo; Yong Q Gu; John P Vogel
Journal:  PLoS One       Date:  2012-09-17       Impact factor: 3.240

4.  Expression and promoter analysis of six heat stress-inducible genes in rice.

Authors:  Wirat Rerksiri; Xianwen Zhang; Hairong Xiong; Xinbo Chen
Journal:  ScientificWorldJournal       Date:  2013-12-26

5.  Genetic transformation of indica rice varieties involving Am-SOD gene for improved abiotic stress tolerance.

Authors:  S Samara Shekar Reddy; Bharat Singh; A John Peter; T Venkateswar Rao
Journal:  Saudi J Biol Sci       Date:  2017-06-16       Impact factor: 4.219

  5 in total

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