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Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences
Huang, Aiyou1,3; Wu, Xiaojie2; Wang, Guangce1,2; Jia, Zhaojun2; He, Linwen1,3
2011-12-01
Source PublicationCANADIAN JOURNAL OF MICROBIOLOGY
ISSN0008-4166
Volume57Issue:12Pages:1052-1061
Corresponding AuthorWang, Guangce(gcwang@qdio.ac.cn)
AbstractThe 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.
KeywordPhaeodactylum tricornutum Thalassiosira pseudonana Cyanidioschyzon merolae common miRNA family
DOI10.1139/W11-102
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[30830015] ; National Natural Science Foundation of China[30970302] ; National Natural Science Foundation of China[41176137] ; National Natural Science Foundation of China[41176134] ; National Natural Science Foundation of China[41106131]
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Immunology ; Microbiology
WOS SubjectBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Immunology ; Microbiology
WOS IDWOS:000299190800010
PublisherCANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/157192
Collection中国科学院海洋研究所
Corresponding AuthorWang, Guangce
Affiliation1.Chinese Acad Sci IOCAS, Inst Oceanol, Qingdao 266071, Peoples R China
2.Tianjin Univ Sci & Technol, Coll Marine Sci & Engn, Tianjin 300457, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Huang, Aiyou,Wu, Xiaojie,Wang, Guangce,et al. Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences[J]. CANADIAN JOURNAL OF MICROBIOLOGY,2011,57(12):1052-1061.
APA Huang, Aiyou,Wu, Xiaojie,Wang, Guangce,Jia, Zhaojun,&He, Linwen.(2011).Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences.CANADIAN JOURNAL OF MICROBIOLOGY,57(12),1052-1061.
MLA Huang, Aiyou,et al."Computational prediction of microRNAs and their targets from three unicellular algae species with complete genome sequences".CANADIAN JOURNAL OF MICROBIOLOGY 57.12(2011):1052-1061.
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