The rice word landscape-a detailed catalog of the rice motif content in the noncoding regions

Mátyás Cserháti, Zoltán Turóczy, D. Dudits, J. Györgyey

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Among the different areas of molecular biology concerning the detailed study of different parts of the cell such as genomics, proteomics, or metabolomics, different new areas of study are emerging that entail the analysis of different parts of the genome such as the prediction of genes or different kinds of transcription factor binding sites (TFBSs). The goal of this study is to draw up and analyze a catalog of all statistically relevant putative functional octamer words or motifs found within first introns, promoters, the 5′ and 3′ UTRs, and the entire genome of japonica rice and compare them to results attained from a previous analysis performed on the Arabidopsis genome. We found a number of novel motifs in different sets of noncoding rice sequence sets. The diversity of motifs in rice was higher in Arabidopsis, implicating a higher mutation turnover. Although common motifs were found between the two species, motif pairs were missing, showing the difference between the regulatory machinery between rice and Arabidopsis.

Original languageEnglish
Pages (from-to)819-828
Number of pages10
JournalOMICS A Journal of Integrative Biology
Volume15
Issue number11
DOIs
Publication statusPublished - Nov 1 2011

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Genes
Arabidopsis
Genome
Molecular biology
Metabolomics
5' Untranslated Regions
3' Untranslated Regions
Genomics
Proteomics
Introns
Machinery
Molecular Biology
Transcription Factors
Binding Sites
Mutation
Oryza

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Genetics
  • Molecular Biology
  • Molecular Medicine

Cite this

The rice word landscape-a detailed catalog of the rice motif content in the noncoding regions. / Cserháti, Mátyás; Turóczy, Zoltán; Dudits, D.; Györgyey, J.

In: OMICS A Journal of Integrative Biology, Vol. 15, No. 11, 01.11.2011, p. 819-828.

Research output: Contribution to journalArticle

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