Cureus | Computational identification of anthocyanin-specific transcription factors using a rice microarray and maximum boundary range algorithm
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Research Article

Computational identification of anthocyanin-specific transcription factors using a rice microarray and maximum boundary range algorithm

Chang Kug Kim, Shoshi Kikuchi, Jang Ho Hahn, Soo Chul Park, Yong Hwan Kim, Byun Woo Lee

Published: October 20, 2010

DOI: 10.4137/EBO.S6077

License: © 2010 the author(s), publisher and licensee Libertas Academica Ltd.2010This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.

Abstract

This study identifies 2,617 candidate genes related to anthocyanin biosynthesis in rice using microarray analysis and a newly developed maximum boundary range algorithm. Three seed developmental stages were examined in white cultivar and two black Dissociation insertion mutants. The resultant 235 transcription factor genes found to be associated with anthocyanin were classified into nine groups. It is compared the 235 genes by transcription factor analysis and 593 genes from among clusters of COGs related to anthocyanin functions. Total 32 genes were found to be expressed commonly. Among these, 9 unknown and hypothetical genes were revealed to be expressed at each developmental stage and were verified by RT-PCR. These genes most likely play regulatory roles in either anthocyanin production or metabolism during flavonoid biosynthesis. While these genes require further validation, our results underline the potential usefulness of the newly developed algorithm.


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Scholarly Impact Quotient™ (SIQ™)

Scholarly Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. SIQ™ assesses article importance and quality by embracing the collective intelligence of the Cureus community-at-large. All registered users are invited to contribute to the SIQ™ of any published article. (Authors cannot rate their own articles.)

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