Genome-Wide Analysis of MicroRNA-related Single Nucleotide Polymorphisms (SNPs) in Mouse Genome

Gideon Omariba1, Fuyi Xu1,2, Maochun Wang1

  • 1College of Chemistry, Chemical Engineering, and Biotechnology, Donghua University, Shanghai, 201620, China.

Scientific Reports
|April 3, 2020
PubMed

Insights

Single nucleotide polymorphisms (SNPs) in mouse genomes affect microRNA (miRNA) stability and gene targets. This study provides the first whole-genome analysis of miRNA-associated SNPs, revealing their impact on miRNA structure and function.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression implicated in various diseases.
  • Single nucleotide polymorphisms (SNPs) interacting with miRNAs are linked to both human and animal diseases.
  • Understanding SNP effects on miRNA structure and function is crucial for disease research.

Purpose of the Study:

  • To comprehensively characterize miRNA-related SNPs across the entire mouse genome.
  • To analyze the impact of these SNPs on miRNA structural stability and target gene interactions.
  • To provide novel insights into the functional consequences of genetic variations in miRNA sequences.

Main Methods:

  • Collected and analyzed 73,643,859 SNPs from the mouse genome.
  • Mapped SNPs to 1187 pre-miRNAs and 2027 mature miRNAs.
  • Evaluated SNP effects on miRNA secondary structure and performed target gain/loss analysis.

Main Results:

  • Identified 1700 SNPs in pre-miRNAs and 609 SNPs in mature miRNAs.
  • Observed lower SNP densities within miRNAs compared to flanking regions.
  • Found that 841 SNPs destabilized miRNA secondary structures, and many gained target sites.

Conclusions:

  • This study presents the first whole-genome-scale analysis of SNP variations associated with miRNAs in mice.
  • Identified SNPs significantly alter miRNA structural stability and target repertoire.
  • These structurally or functionally altered miRNAs represent potential candidates for future disease-related investigations.