Literature DB >> 24515651

Evolutionary comparisons of miRNA regulation system in six model organisms.

Xiaofan Mao1, Li Li, Yicheng Cao.   

Abstract

miRNAs are a class of endogenous small non-coding regulatory RNAs, that can mediate the transcriptional gene silencing as well as gene expression activation. miRNAs, which are found in a wide range of species, participate in cell differentiation, proliferation, development, apoptosis, tumorigenesis, metabolism, immune system, and signaling pathways. Here, we focused on the relationship between evolution and the miRNA system, with an emphasis on both miRNAs and their target genes. Six species from the evolutionary ladder were selected as a focus of this study. Public data were retrieved and combined to compare miRNAs abundance, miRNA families, molecular functions of target genes, biological processes of target genes, protein families of target gene products, transcription factors regulated by the miRNAs, signaling pathways and tissues across the six species. We found that the expansion rate of miRNAs was significantly higher compared to other genes in human evolution. Newborn miRNA families, which were quantitatively larger than dead miRNA families, seem to be closely related to the species complexity and tissue specificity. Additionally, miRNAs in higher order species were more likely to target genes related to signaling and the immune system, while miRNAs from lower order species preferred to target genes related to the embryonic development process, reproduction and growth. Meanwhile, miRNA systems displayed diversity in regulating transcription factors, signaling pathways and tissues. Our research suggested that the miRNA system might promote evolution, especially in higher species.

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Year:  2014        PMID: 24515651     DOI: 10.1007/s10709-014-9758-5

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  58 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Evolution of biological complexity.

Authors:  C Adami; C Ofria; T C Collier
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-25       Impact factor: 11.205

3.  MicroRNAs preferentially target the genes with high transcriptional regulation complexity.

Authors:  Qinghua Cui; Zhenbao Yu; Youlian Pan; Enrico O Purisima; Edwin Wang
Journal:  Biochem Biophys Res Commun       Date:  2006-11-27       Impact factor: 3.575

4.  The deep evolution of metazoan microRNAs.

Authors:  Benjamin M Wheeler; Alysha M Heimberg; Vanessa N Moy; Erik A Sperling; Thomas W Holstein; Steffen Heber; Kevin J Peterson
Journal:  Evol Dev       Date:  2009 Jan-Feb       Impact factor: 1.930

5.  Simultaneous expansions of microRNAs and protein-coding genes by gene/genome duplications in early vertebrates.

Authors:  Xun Gu; Zhixi Su; Yong Huang
Journal:  J Exp Zool B Mol Dev Evol       Date:  2009-05-15       Impact factor: 2.656

6.  A mammalian microRNA expression atlas based on small RNA library sequencing.

Authors:  Pablo Landgraf; Mirabela Rusu; Robert Sheridan; Alain Sewer; Nicola Iovino; Alexei Aravin; Sébastien Pfeffer; Amanda Rice; Alice O Kamphorst; Markus Landthaler; Carolina Lin; Nicholas D Socci; Leandro Hermida; Valerio Fulci; Sabina Chiaretti; Robin Foà; Julia Schliwka; Uta Fuchs; Astrid Novosel; Roman-Ulrich Müller; Bernhard Schermer; Ute Bissels; Jason Inman; Quang Phan; Minchen Chien; David B Weir; Ruchi Choksi; Gabriella De Vita; Daniela Frezzetti; Hans-Ingo Trompeter; Veit Hornung; Grace Teng; Gunther Hartmann; Miklos Palkovits; Roberto Di Lauro; Peter Wernet; Giuseppe Macino; Charles E Rogler; James W Nagle; Jingyue Ju; F Nina Papavasiliou; Thomas Benzing; Peter Lichter; Wayne Tam; Michael J Brownstein; Andreas Bosio; Arndt Borkhardt; James J Russo; Chris Sander; Mihaela Zavolan; Thomas Tuschl
Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

7.  The Pfam protein families database.

Authors:  Marco Punta; Penny C Coggill; Ruth Y Eberhardt; Jaina Mistry; John Tate; Chris Boursnell; Ningze Pang; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2011-11-29       Impact factor: 16.971

8.  The database of experimentally supported targets: a functional update of TarBase.

Authors:  Giorgos L Papadopoulos; Martin Reczko; Victor A Simossis; Praveen Sethupathy; Artemis G Hatzigeorgiou
Journal:  Nucleic Acids Res       Date:  2008-10-27       Impact factor: 16.971

9.  The microRNA.org resource: targets and expression.

Authors:  Doron Betel; Manda Wilson; Aaron Gabow; Debora S Marks; Chris Sander
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

10.  No miRNA were found in Plasmodium and the ones identified in erythrocytes could not be correlated with infection.

Authors:  Xiangyang Xue; Qingfeng Zhang; Yufu Huang; Le Feng; Weiqing Pan
Journal:  Malar J       Date:  2008-03-10       Impact factor: 2.979

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