Literature DB >> 17163904

Global transcript analysis of rice leaf and seed using SAGE technology.

J George Gibbings1, Brian P Cook, Michael R Dufault, Stephen L Madden, Sawsan Khuri, Chris J Turnbull, Jim M Dunwell.   

Abstract

We have compiled two comprehensive gene expression profiles from mature leaf and immature seed tissue of rice (Oryza sativa ssp. japonica cultivar Nipponbare) using Serial Analysis of Gene Expression (SAGE) technology. Analysis revealed a total of 50 519 SAGE tags, corresponding to 15 131 unique transcripts. Of these, the large majority (approximately 70%) occur only once in both libraries. Unexpectedly, the most abundant transcript (approximately 3% of the total) in the leaf library was derived from a type 3 metallothionein gene. The overall frequency profiles of the abundant tag species from both tissues differ greatly and reveal seed tissue as exhibiting a non-typical pattern of gene expression characterized by an over abundance of a small number of transcripts coding for storage proteins. A high proportion ( approximately 80%) of the abundant tags (> or = 9) matched entries in our reference rice EST database, with many fewer matches for low abundant tags. Singleton transcripts that are common to both tissues were collated to generate a summary of low abundant transcripts that are expressed constitutively in rice tissues. Finally and most surprisingly, a significant number of tags were found to code for antisense transcripts, a finding that suggests a novel mechanism of gene regulation, and may have implications for the use of antisense constructs in transgenic technology.

Entities:  

Year:  2003        PMID: 17163904     DOI: 10.1046/j.1467-7652.2003.00026.x

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  29 in total

Review 1.  Methods for transcriptional profiling in plants. Be fruitful and replicate.

Authors:  Blake C Meyers; David W Galbraith; Timothy Nelson; Vikas Agrawal
Journal:  Plant Physiol       Date:  2004-06-01       Impact factor: 8.340

2.  High-coverage profiling analysis of genes expressed during rice seed development, using an improved amplified fragment length polymorphism technique.

Authors:  Kiyoshi Suzuki; Atsushi Hattori; Seiko Tanaka; Takehiro Masumura; Masumi Abe; Shinichi Kitamura
Journal:  Funct Integr Genomics       Date:  2004-10-13       Impact factor: 3.410

3.  Maximizing the efficacy of SAGE analysis identifies novel transcripts in Arabidopsis.

Authors:  Stephen J Robinson; Dustin J Cram; Christopher T Lewis; Isobel A P Parkin
Journal:  Plant Physiol       Date:  2004-10       Impact factor: 8.340

4.  New insights into the complex and coordinated transcriptional regulation networks underlying rice seed development through cDNA chip-based analysis.

Authors:  Ke Duan; Yong-Hai Luo; Da Luo; Zhi-Hong Xu; Hong-Wei Xue
Journal:  Plant Mol Biol       Date:  2005-04       Impact factor: 4.076

5.  Serial analysis of gene expression study of a hybrid rice strain (LYP9) and its parental cultivars.

Authors:  JingYue Bao; Sanggyu Lee; Chen Chen; XiuQing Zhang; Yu Zhang; SiQi Liu; Terry Clark; Jian Wang; MengLiang Cao; HuanMing Yang; San Ming Wang; Jun Yu
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

6.  The maize root transcriptome by serial analysis of gene expression.

Authors:  V Poroyko; L G Hejlek; W G Spollen; G K Springer; H T Nguyen; R E Sharp; H J Bohnert
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

7.  LongSAGE analysis of the early response to cold stress in Arabidopsis leaf.

Authors:  Youn-Jung Byun; Hyo-Jin Kim; Dong-Hee Lee
Journal:  Planta       Date:  2009-02-28       Impact factor: 4.116

8.  A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Authors:  Adel F M Ibrahim; Peter E Hedley; Linda Cardle; Warren Kruger; David F Marshall; Gary J Muehlbauer; Robbie Waugh
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

9.  A specific group of genes respond to cold dehydration stress in cut Alstroemeria flowers whereas ambient dehydration stress accelerates developmental senescence expression patterns.

Authors:  Carol Wagstaff; Irene Bramke; Emily Breeze; Sarah Thornber; Elizabeth Harrison; Brian Thomas; Vicky Buchanan-Wollaston; Tony Stead; Hilary Rogers
Journal:  J Exp Bot       Date:  2010-05-09       Impact factor: 6.992

10.  Deep sampling of the Palomero maize transcriptome by a high throughput strategy of pyrosequencing.

Authors:  Julio C Vega-Arreguín; Enrique Ibarra-Laclette; Beatriz Jiménez-Moraila; Octavio Martínez; Jean Philippe Vielle-Calzada; Luis Herrera-Estrella; Alfredo Herrera-Estrella
Journal:  BMC Genomics       Date:  2009-07-06       Impact factor: 3.969

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