Literature DB >> 22149261

Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences.

Aiyou Huang1, Xiaojie Wu, Guangce Wang, Zhaojun Jia, Linwen He.   

Abstract

The genome sequences of Phaeodactylum tricornutum, Thalassiosira pseudonana, and Cyanidioschyzon merolae 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.

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Year:  2011        PMID: 22149261     DOI: 10.1139/w11-102

Source DB:  PubMed          Journal:  Can J Microbiol        ISSN: 0008-4166            Impact factor:   2.419


  3 in total

1.  Discovery of Conserved and Novel MicroRNAs in Galdieria sulphuraria.

Authors:  Fan Gao; Fangru Nan; Jia Feng; Junping Lv; Qi Liu; Shulian Xie
Journal:  Iran J Biotechnol       Date:  2021-04-01       Impact factor: 1.671

2.  Computational Identification of MicroRNAs from the Expressed Sequence Tags of Toxic Dinoflagellate Alexandrium Tamarense.

Authors:  Dahai Gao; Limei Qiu; Zhanhui Hou; Qingchun Zhang; Jianmin Wu; Qiang Gao; Linsheng Song
Journal:  Evol Bioinform Online       Date:  2013-11-20       Impact factor: 1.625

3.  Identification and Characterization of miRNAs in Chondrus crispus by High-Throughput Sequencing and Bioinformatics Analysis.

Authors:  Fan Gao; FangRu Nan; Wei Song; Jia Feng; JunPing Lv; ShuLian Xie
Journal:  Sci Rep       Date:  2016-05-19       Impact factor: 4.379

  3 in total

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