Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Jul;32(7):1890-4.
doi: 10.1093/molbev/msv073. Epub 2015 Mar 24.

No Evidence that MicroRNAs Coevolve with Genes Located in Copy Number Regions

Affiliations

No Evidence that MicroRNAs Coevolve with Genes Located in Copy Number Regions

Richard Jovelin. Mol Biol Evol. 2015 Jul.

Abstract

MicroRNAs (miRNAs) are a widespread class of regulatory noncoding RNAs with key roles in physiology and development, conferring robustness to noise in regulatory networks. Consistent with this buffering function, it was recently suggested that human miRNAs coevolve with genes in copy number regions (copy number variation [CNV] genes) to reduce dosage imbalance. Here, I compare miRNA regulation between CNV and non-CNV genes in four model organisms. miRNA regulation of CNV genes is elevated in human and fly but reduced in nematode and zebrafish. By analyzing 31 human CNV data sets, careful analysis of human and chimpanzee orthologs, resampling genes within species and comparing structural variant types, I show that the apparent coevolution between CNV genes and miRNAs is due to the strong dependency between 3'-untranslated region length and miRNA target prediction. Deciphering the interplay between CNVs and miRNAs will likely require a deeper understanding of how miRNAs are embedded in regulatory circuits.

Keywords: copy number variation; gene regulation; miRNA; regulatory networks; robustness.

PubMed Disclaimer

Figures

F<sc>ig</sc>. 1.
Fig. 1.
Comparison of the mean number of miRNA regulators (left axis) and mean number of miRNA binding sites (right axis) predicted by TargetScan between CNV genes and non-CNV genes in four model organisms. CNV miRNA target genes have more miRNA regulators and target sites than non-CNV genes in human and fly. In contrast, non-CNV genes are regulated by more miRNAs and have more target sites than CNV genes in zebrafish and worm. Human: NCNV = 16,060, Nnon-CNV = 1,360; fly: NCNV = 1,580, Nnon-CNV = 10,170; worm: NCNV = 731, Nnon-CNV = 14,656; zebrafish: NCNV = 2,787, Nnon-CNV = 13,610; ***P < 0.0001, Wilcoxon rank-sum tests. Error bars represent ± 1 standard error of the mean.
F<sc>ig</sc>. 2.
Fig. 2.
The number of miRNAs per target gene is strongly correlated with the length of the 3′-UTR in human, fly, zebrafish, and worm (left panels). Lines represent the linear regressions between the number of miRNAs inferred by TargetScan and the 3′-UTR length for each target gene. CNV genes have on average longer 3′-UTRs than non-CNV genes in human and fly. In contrast, the mean 3′-UTR length is shorter for CNV genes than for non-CNV genes in worm and zebrafish (right panels). ***P < 0.0001.

Similar articles

Cited by

References

    1. Alvarez-Saavedra E, Horvitz HR. Many families of C. elegans microRNAs are not essential for development or viability. Curr Biol. 2010;20:367–373. - PMC - PubMed
    1. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. - PubMed
    1. Betel D, Wilson M, Gabow A, Marks DS, Sander C. The microRNA.org resource: targets and expression. Nucleic Acids Res. 2008;36:D149–D153. - PMC - PubMed
    1. Birchler JA, Veitia RA. Gene balance hypothesis: connecting issues of dosage sensitivity across biological disciplines. Proc Natl Acad Sci U S A. 2012;109:14746–14753. - PMC - PubMed
    1. Brenner JL, Jasiewicz KL, Fahley AF, Kemp BJ, Abbott AL. Loss of individual microRNAs causes mutant phenotypes in sensitized genetic backgrounds in C. elegans. Curr Biol. 2010;20:1321–1325. - PMC - PubMed

Publication types

LinkOut - more resources