Journal Article

UniVIO: A Multiple Omics Database with Hormonome and Transcriptome Data from Rice

Toru Kudo, Kenji Akiyama, Mikiko Kojima, Nobue Makita, Tetsuya Sakurai and Hitoshi Sakakibara

in Plant and Cell Physiology

Published on behalf of Japanese Society of Plant Physiologists

Volume 54, issue 2, pages e9-e9
Published in print February 2013 | ISSN: 0032-0781
Published online January 2013 | e-ISSN: 1471-9053 | DOI: http://dx.doi.org/10.1093/pcp/pct003

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Plant hormones play important roles as signaling molecules in the regulation of growth and development by controlling the expression of downstream genes. Since the hormone signaling system represents a complex network involving functional cross-talk through the mutual regulation of signaling and metabolism, a comprehensive and integrative analysis of plant hormone concentrations and gene expression is important for a deeper understanding of hormone actions. We have developed a database named Uniformed Viewer for Integrated Omics (UniVIO: http://univio.psc.riken.jp/), which displays hormone-metabolome (hormonome) and transcriptome data in a single formatted (uniformed) heat map. At the present time, hormonome and transcriptome data obtained from 14 organ parts of rice plants at the reproductive stage and seedling shoots of three gibberellin signaling mutants are included in the database. The hormone concentration and gene expression data can be searched by substance name, probe ID, gene locus ID or gene description. A correlation search function has been implemented to enable users to obtain information of correlated substance accumulation and gene expression. In the correlation search, calculation method, range of correlation coefficient and plant samples can be selected freely.

Keywords: Database; Multiomics; Oryza sativa; Plant hormones; Transcriptome

Journal Article.  5151 words.  Illustrated.

Subjects: Biochemistry ; Molecular and Cell Biology ; Plant Sciences and Forestry

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