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dc.contributor.authorNozawa, Masafumi
dc.contributor.authorFujimi, Mai
dc.contributor.authorIwamoto, Chie
dc.contributor.authorOnizuka, Kanako
dc.contributor.authorFukuda, Nana
dc.contributor.authorIkeo, Kazuho
dc.contributor.authorGojobori, Takashi
dc.date.accessioned2016-08-03T11:10:24Z
dc.date.available2016-08-03T11:10:24Z
dc.date.issued2016-04-27
dc.identifier.citationEvolutionary Transitions of MicroRNA-Target Pairs 2016, 8 (5):1621 Genome Biology and Evolution
dc.identifier.issn1759-6653
dc.identifier.pmid27189995
dc.identifier.doi10.1093/gbe/evw092
dc.identifier.urihttp://hdl.handle.net/10754/617861
dc.description.abstractHow newly generated microRNA (miRNA) genes are integrated into gene regulatory networks during evolution is fundamental in understanding the molecular and evolutionary bases of robustness and plasticity in gene regulation. A recent model proposed that after the birth of a miRNA, the miRNA is generally integrated into the network by decreasing the number of target genes during evolution. However, this decreasing model remains to be carefully examined by considering in vivo conditions. In this study, we therefore compared the number of target genes among miRNAs with different ages, combining experiments with bioinformatics predictions. First, we focused on three Drosophila miRNAs with different ages. As a result, we found that an older miRNA has a greater number of target genes than a younger miRNA, suggesting the increasing number of targets for each miRNA during evolution (increasing model). To further confirm our results, we also predicted all target genes for all miRNAs in D. melanogaster, considering co-expression of miRNAs and mRNAs in vivo. The results obtained also do not support the decreasing model but are reasonably consistent with the increasing model of miRNA-target pairs. Furthermore, our large-scale analyses of currently available experimental data of miRNA-target pairs also showed a weak but the same trend in humans. These results indicate that the current decreasing model of miRNA-target pairs should be reconsidered and the increasing model may be more appropriate to explain the evolutionary transitions of miRNA-target pairs in many organisms.
dc.description.sponsorshipWe thank Shu Kondo for advice regarding the Drosophila crossing experiments and Miu Kubota for help with the experiments. We are also grateful to Junichi Imoto, Sonoko Kinjo, Norikazu Kitamura, Kaoru Matsumoto, Masatoshi Nei, Masa-aki Yoshida, and Ikuko Yuyama for their comments on earlier versions of the manuscript. We also thank the associate editor and the two reviewers for their constructive comments on our work. Computations were partially performed on the NIG supercomputer at National Institute of Genetics. This work was supported by grants from the National Institute of Genetics, the Center for the Promotion of Integrated Sciences (CPIS), and JSPS KAKENHI Grant Number 25711023 to M.N.
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.relation.urlhttp://gbe.oxfordjournals.org/lookup/doi/10.1093/gbe/evw092
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
dc.subjectbioinformatics prediction
dc.subjectgene regulation
dc.subjectRNA-seq
dc.subjectsmall RNA
dc.subjecttransgenic fly
dc.titleEvolutionary Transitions of MicroRNA-Target Pairs
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.identifier.journalGenome Biology and Evolution
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionCenter for Information Biology, National Institute of Genetics, Shizuoka, Japan
dc.contributor.institutionDepartment of Genetics, SOKENDAI, Shizuoka, Japan
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personGojobori, Takashi
refterms.dateFOA2018-06-13T17:54:12Z


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