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vol.30 issue3  suppl.In silico prediction of gene expression patterns in Citrus flavedoA genetic framework for flowering-time pathways in Citrus spp. author indexsubject indexarticles search
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Genetics and Molecular Biology

Print version ISSN 1415-4757On-line version ISSN 1678-4685

Abstract

DORNELAS, Marcelo Carnier; CAMARGO, Raquel Luciana Boscariol; BERGER, Irving Joseph  and  TAKITA, Marco Aurélio. Towards the identification of flower-specific genes in Citrus spp. Genet. Mol. Biol. [online]. 2007, vol.30, n.3, suppl., pp.761-768. ISSN 1415-4757.  https://doi.org/10.1590/S1415-47572007000500005.

Citrus sinensis is a perennial woody species, for which genetic approaches to the study of reproductive development are not readily amenable. Here, the usefulness of the CitEST Expressed Sequence Tag (EST) database is demonstrated as a reliable new resource for identifying novel genes exclusively related to Citrus reproductive biology. We performed the analysis of an EST dataset of the CitEST Project containing 4,330 flower-derived cDNA sequences. Relying on bioinformatics tools, sequences exclusively present in this flower-derived sequence collection were selected and used for the identification of Citrus putative flower-specific genes. Our analysis revealed several Citrus sequences showing significant similarity to conserved genes known to have flower-specific expression and possessing functions related to flower metabolism and/or reproductive development in diverse plant species. Comparison of the Citrus flower-specific sequences with all available plant peptide sequences unraveled 247 unique transcripts not identified elsewhere within the plant kingdom. Additionally, 49 transcripts, for which no biological function could be attributed by means of sequence comparisons, were found to be conserved among plant species. These results allow further gene expression analysis and possibly novel approaches to the understanding of reproductive development in Citrus.

Keywords : development; flower-specific genes; reproduction; transcription factors.

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