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Transcriptomics analyses of genes regulating anthocyanin production in black rice

Transcriptomics analyses of genes regulating anthocyanin production in black rice Abstract We used a 135K rice microarray to identify genes involved in anthocyanin biosynthesis and metabolism in black rice. Using our multi-interaction screening method, we then screened 427 expression genes, 754 orthologous genes, and 416 pathway-network related genes associated with anthocyanin bio-synthesis. Finally, we identified eight candidate genes by comparing pathway-expression genes, including ortholog-ontology genes. To verify the candidate genes, each was mapped to the black rice genome, and functional predictions were confirmed via phylogenetic reconstructions using the candidate genes and their homologous proteins. While the eight genes identified by our method require further characterization and validation, our study demonstrates the power of multi-interaction screening after the initial identification of genes with microarrays. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png BioChip Journal Springer Journals

Transcriptomics analyses of genes regulating anthocyanin production in black rice

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References (18)

Publisher
Springer Journals
Copyright
2015 The Korean BioChip Society and Springer-Verlag Berlin Heidelberg
ISSN
1976-0280
eISSN
2092-7843
DOI
10.1007/s13206-014-9108-9
Publisher site
See Article on Publisher Site

Abstract

Abstract We used a 135K rice microarray to identify genes involved in anthocyanin biosynthesis and metabolism in black rice. Using our multi-interaction screening method, we then screened 427 expression genes, 754 orthologous genes, and 416 pathway-network related genes associated with anthocyanin bio-synthesis. Finally, we identified eight candidate genes by comparing pathway-expression genes, including ortholog-ontology genes. To verify the candidate genes, each was mapped to the black rice genome, and functional predictions were confirmed via phylogenetic reconstructions using the candidate genes and their homologous proteins. While the eight genes identified by our method require further characterization and validation, our study demonstrates the power of multi-interaction screening after the initial identification of genes with microarrays.

Journal

BioChip JournalSpringer Journals

Published: Mar 1, 2015

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