Large-scale analysis of microRNA evolution

被引:42
作者
Guerra-Assuncao, Jose Afonso [1 ]
Enright, Anton J. [1 ]
机构
[1] EMBL European Bioinformat Inst, Cambridge CB10 1SD, England
来源
BMC GENOMICS | 2012年 / 13卷
关键词
CONSERVATION; EXPRESSION; BIOGENESIS; GENOMES; PREDICTION; SEQUENCE; FAMILY; GENES; TOOLS;
D O I
10.1186/1471-2164-13-218
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: In animals, microRNAs (miRNA) are important genetic regulators. Animal miRNAs appear to have expanded in conjunction with an escalation in complexity during early bilaterian evolution. Their small size and high-degree of similarity makes them challenging for phylogenetic approaches. Furthermore, genomic locations encoding miRNAs are not clearly defined in many species. A number of studies have looked at the evolution of individual miRNA families. However, we currently lack resources for large-scale analysis of miRNA evolution. Results: We addressed some of these issues in order to analyse the evolution of miRNAs. We perform syntenic and phylogenetic analysis for miRNAs from 80 animal species. We present synteny maps, phylogenies and functional data for miRNAs across these species. These data represent the basis of our analyses and also act as a resource for the community. Conclusions: We use these data to explore the distribution of miRNAs across phylogenetic space, characterise their birth and death, and examine functional relationships between miRNAs and other genes. These data confirm a number of previously reported findings on a larger scale and also offer novel insights into the evolution of the miRNA repertoire in animals, and it's genomic organization.
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页数:12
相关论文
共 53 条
  • [1] Clustering and conservation patterns of human microRNAs
    Altuvia, Y
    Landgraf, P
    Lithwick, G
    Elefant, N
    Pfeffer, S
    Aravin, A
    Brownstein, MJ
    Tuschl, T
    Margalit, H
    [J]. NUCLEIC ACIDS RESEARCH, 2005, 33 (08) : 2697 - 2706
  • [2] [Anonymous], GRAPH CLUSTERING FLO
  • [3] The impact of microRNAs on protein output
    Baek, Daehyun
    Villen, Judit
    Shin, Chanseok
    Camargo, Fernando D.
    Gygi, Steven P.
    Bartel, David P.
    [J]. NATURE, 2008, 455 (7209) : 64 - U38
  • [4] Predicting functional gene links from phylogenetic-statistical analyses of whole genomes
    Barker, D
    Pagel, M
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2005, 1 (01) : 24 - 31
  • [5] Constrained models of evolution lead to improved prediction of functional linkage from correlated gain and loss of genes
    Barker, Daniel
    Meade, Andrew
    Pagel, Mark
    [J]. BIOINFORMATICS, 2007, 23 (01) : 14 - 20
  • [6] The Nodal inhibitor Lefty is negatively modulated by the microRNA miR-302 in human embryonic stem cells
    Barroso-delJesus, Alicia
    Lucena-Aguilar, Gema
    Sanchez, Laura
    Ligero, Gertrudis
    Gutierrez-Aranda, Ivan
    Menendez, Pablo
    [J]. FASEB JOURNAL, 2011, 25 (05) : 1497 - 1508
  • [7] MicroRNA-127 modulates fetal lung development
    Bhaskaran, Manoj
    Wang, Yang
    Zhang, Honghao
    Weng, Tingting
    Baviskar, Pradyumna
    Guo, Yujie
    Gou, Deming
    Liu, Lin
    [J]. PHYSIOLOGICAL GENOMICS, 2009, 37 (03) : 268 - 278
  • [8] Conservation of gene order: a fingerprint of proteins that physically interact
    Dandekar, T
    Snel, B
    Huynen, M
    Bork, P
    [J]. TRENDS IN BIOCHEMICAL SCIENCES, 1998, 23 (09) : 324 - 328
  • [9] CAFE: a computational tool for the study of gene family evolution
    De Bie, T
    Cristianini, N
    Demuth, JP
    Hahn, MW
    [J]. BIOINFORMATICS, 2006, 22 (10) : 1269 - 1271
  • [10] Ehrlich J, 1997, GENETICS, V147, P289