Literature DB >> 20615957

Adverse interactions between micro-RNAs and target genes from different species.

Tian Tang1, Supriya Kumar, Yang Shen, Jian Lu, Mao-Lien Wu, Suhua Shi, Wen-Hsiung Li, Chung-I Wu.   

Abstract

It is commonly assumed but not proven that microRNAs (miRNAs) and their targets coevolve. Under this assumption, miRNAs and targets from different species may interact adversely, resulting in reduced fitness. However, the strength of the adverse interactions may not be detectable because even outright deletions of miRNAs often manifest only subtle fitness effects. We tested and measured the strength of heterospecific interactions by carrying out transgenic experiments across Drosophila species by overexpressing the miR310s cluster of Drosophila melanogaster (Dm310s) and Drosophila pseudoobscura (Dp310s) in D. melanogaster. Flies overexpressing the heterospecific Dp310s are only one-third as viable as those overexpressing the conspecific Dm310s. The viability effect is easily detectable in comparison to the effect of the deletion of miR310s. The number of genes significantly misexpressed under the influence of Dp310s is 3-10 times greater than under Dm310s. Importantly, the numbers of predicted targets are similar between them. Expression analysis of the predicted target genes suggests that miRNAs may sometimes function to buffer fluctuations in the transcriptome output. After the buffering function has evolved, heterospecific combinations may cause adverse effects.

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Year:  2010        PMID: 20615957      PMCID: PMC2919947          DOI: 10.1073/pnas.1007591107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

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6.  Prediction of mammalian microRNA targets.

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  24 in total

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5.  Spatiotemporal Regulation of a Single Adaptively Evolving Trans-Regulatory Element Contributes to Spermatogenetic Expression Divergence in Drosophila.

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6.  miREvo: an integrative microRNA evolutionary analysis platform for next-generation sequencing experiments.

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7.  A study of the evolution of human microRNAs by their apparent repression effectiveness on target genes.

Authors:  Yong Huang; Xun Gu
Journal:  PLoS One       Date:  2011-09-21       Impact factor: 3.240

8.  Impact of microRNA regulation on variation in human gene expression.

Authors:  Jian Lu; Andrew G Clark
Journal:  Genome Res       Date:  2012-03-28       Impact factor: 9.043

9.  Evolution of the human-specific microRNA miR-941.

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