Literature DB >> 24025514

Comparative analysis of seed transcriptomes of ambient ozone-fumigated 2 different rice cultivars.

Kyoungwon Cho1, Junko Shibato2, Akihiro Kubo3, Yoshihisa Kohno4, Kouji Satoh5, Shoshi Kikuchi5, Abhijit Sarkar6, Ganesh Kumar Agrawal6, Randeep Rakwal7.   

Abstract

High ozone (O3) concentrations not only damage plant life but also cause considerable losses in plant productivity. To screen for molecular factors usable as potential biomarkers to identify for O3-sensitive and -tolerant lines and design O3 tolerant crops, our project examines the effects of O3 on rice, using high-throughput omics approaches. In this study, we examined growth and yield parameters of 4 rice cultivars fumigated for a life-time with ambient air (mean O3: 31.4-32.7 ppb) or filtered air (mean O3: 6.6-8.3 ppb) in small open-top chambers (sOTCs) to select O3-sensitive (indica cv Takanari) and O3-tolerant (japonica cv Koshihikari) cultivars for analysis of seed transcriptomes using Agilent 4 × 44K rice oligo DNA chip. Total RNA from dry mature dehusked seeds of Takanari and Koshihikari cultivars was extracted using a modified protocol based on cethyltrimethylammonium bromide extraction buffer and phenol-chloroform-isoamylalcohol treatment, followed by DNA microarray analysis using the established dye-swap method. Direct comparison of Koshihikari and Takanari O3 transcriptomes in seeds of rice plants fumigated with ambient O3 in sOTCs successfully showed that genes encoding proteins involved in jasmonic acid, GABA biosynthesis, cell wall and membrane modification, starch mobilization, and secondary metabolite biosynthesis are differently regulated in sensitive cv Takanari and tolerant cv Koshihikari. MapMan analysis further mapped the molecular factors activated by O3, confirming Takanari is rightly classified as an O3 sensitive genotype.

Entities:  

Keywords:  MapMan analysis; ozone; rice; whole genome DNA microarray; yield loss

Mesh:

Substances:

Year:  2013        PMID: 24025514      PMCID: PMC4091349          DOI: 10.4161/psb.26300

Source DB:  PubMed          Journal:  Plant Signal Behav        ISSN: 1559-2316


  37 in total

1.  A rice functional transcriptional activator, RISBZ1, responsible for endosperm-specific expression of storage protein genes through GCN4 motif.

Authors:  Y Onodera; A Suzuki; C Y Wu; H Washida; F Takaiwa
Journal:  J Biol Chem       Date:  2000-12-22       Impact factor: 5.157

2.  Transcriptome analysis of O3-exposed Arabidopsis reveals that multiple signal pathways act mutually antagonistically to induce gene expression.

Authors:  Masanori Tamaoki; Nobuyoshi Nakajima; Akihiro Kubo; Mitsuko Aono; Takashi Matsuyama; Hikaru Saji
Journal:  Plant Mol Biol       Date:  2003-11       Impact factor: 4.076

3.  cDNA cloning of rice lipoxygenase L-2 and characterization using an active enzyme expressed from the cDNA in Escherichia coli.

Authors:  H Ohta; Y Shirano; K Tanaka; Y Morita; D Shibata
Journal:  Eur J Biochem       Date:  1992-06-01

4.  ICE1: a regulator of cold-induced transcriptome and freezing tolerance in Arabidopsis.

Authors:  Viswanathan Chinnusamy; Masaru Ohta; Siddhartha Kanrar; Byeong-Ha Lee; Xuhui Hong; Manu Agarwal; Jian-Kang Zhu
Journal:  Genes Dev       Date:  2003-04-02       Impact factor: 11.361

5.  The Arabidopsis myc/bHLH gene ALCATRAZ enables cell separation in fruit dehiscence.

Authors:  S Rajani; V Sundaresan
Journal:  Curr Biol       Date:  2001-12-11       Impact factor: 10.834

6.  Proteome analysis of differentially displayed proteins as a tool for investigating ozone stress in rice (Oryza sativa L.) seedlings.

Authors:  Ganesh Kumar Agrawal; Randeep Rakwal; Masami Yonekura; Akihiro Kubo; Hikaru Saji
Journal:  Proteomics       Date:  2002-08       Impact factor: 3.984

7.  MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes.

Authors:  Oliver Thimm; Oliver Bläsing; Yves Gibon; Axel Nagel; Svenja Meyer; Peter Krüger; Joachim Selbig; Lukas A Müller; Seung Y Rhee; Mark Stitt
Journal:  Plant J       Date:  2004-03       Impact factor: 6.417

8.  Comprehensive analysis of NAC family genes in Oryza sativa and Arabidopsis thaliana.

Authors:  Hisako Ooka; Kouji Satoh; Koji Doi; Toshifumi Nagata; Yasuhiro Otomo; Kazuo Murakami; Kenichi Matsubara; Naoki Osato; Jun Kawai; Piero Carninci; Yoshihide Hayashizaki; Koji Suzuki; Keiichi Kojima; Yoshinori Takahara; Koji Yamamoto; Shoshi Kikuchi
Journal:  DNA Res       Date:  2003-12-31       Impact factor: 4.458

9.  ETHYLENE RESPONSE FACTOR1 integrates signals from ethylene and jasmonate pathways in plant defense.

Authors:  Oscar Lorenzo; Raquel Piqueras; Jose J Sánchez-Serrano; Roberto Solano
Journal:  Plant Cell       Date:  2003-01       Impact factor: 11.277

10.  Dye bias correction in dual-labeled cDNA microarray gene expression measurements.

Authors:  Barry A Rosenzweig; P Scott Pine; Olen E Domon; Suzanne M Morris; James J Chen; Frank D Sistare
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

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  2 in total

Review 1.  Cell Wall Metabolism in Response to Abiotic Stress.

Authors:  Hyacinthe Le Gall; Florian Philippe; Jean-Marc Domon; Françoise Gillet; Jérôme Pelloux; Catherine Rayon
Journal:  Plants (Basel)       Date:  2015-02-16

2.  Combined transcriptomic and metabolomic analysis reveals the potential mechanism of seed germination and young seedling growth in Tamarix hispida.

Authors:  Xin'an Pang; Jiangtao Suo; Shuo Liu; Jindong Xu; Tian'ge Yang; Niyan Xiang; Yue Wu; Bojie Lu; Rui Qin; Hong Liu; Jialing Yao
Journal:  BMC Genomics       Date:  2022-02-08       Impact factor: 3.969

  2 in total

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