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Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences.
- Source :
-
Canadian Journal of Microbiology . Dec2011, Vol. 57 Issue 12, p1052-1061. 10p. - Publication Year :
- 2011
-
Abstract
- The genome sequences of , , and have provided significant evidence for the secondary endosymbiosis of diatoms in regard to the genome. Yet little about their relationships in regard to gene regulation pattern, such as microRNA (miRNA), has been reported. Using a homology search based on genomic sequences, 13, 3, and 7 predicted miRNA genes were found in genomes from P. tricornutum, T. pseudonana, and C. merolae, respectively. Of the 23 miRNA genes, 18 had homology with animal miRNAs, implying that they are ancestral miRNAs. A phylogenetic tree based on common miRNA families shared by these three unicellular algae, higher plants, and animals showed that P. tricornutum shared most miRNAs with animals. The phylogenetic tree also showed that C. merolae shared more miRNAs with plants than did the two diatoms, and the majority of its miRNAs were shared with the two diatoms. Our results were consistent with diatoms originating from a secondary endosymbiosis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00084166
- Volume :
- 57
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Canadian Journal of Microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 71530224
- Full Text :
- https://doi.org/10.1139/w11-102