Comparing miRNA structure of mirtrons and non-mirtrons

Igor I Titov1,2, Pavel S Vorozheykin3

  • 1Federal State Budget Scientific Institution "The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences", Novosibirsk, Russia. titov@bionet.nsc.ru.

BMC Genomics
|March 6, 2018
PubMed
Abstract

Insights

This study reveals that microRNA (miRNA) structures influence their biogenesis pathways, with mirtrons showing distinct features and higher mutation rates. These findings suggest mirtrons contribute to genetic variation and disease.

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are crucial regulators of gene expression, operating through canonical and non-canonical pathways.
  • Mirtrons, a type of non-canonical miRNA, are generated through splicing-dependent biogenesis.
  • Understanding miRNA precursor structures is key to deciphering their maturation and function.

Purpose of the Study:

  • To compare the structural features of canonical miRNAs and mirtrons in humans and mice.
  • To investigate the relationship between precursor structure and miRNA biogenesis pathways.
  • To explore the evolutionary pressures and disease associations of different miRNA types.

Main Methods:

  • Comparative analysis of human and mouse pre-miRNA secondary structures.
  • Investigation of nucleotide characteristics, including single-strandedness and mutation rates.
  • Examination of Dicer and Drosha cleavage site dependencies using a 2-lever model.
  • Analysis of single nucleotide polymorphism (SNP) densities and disease associations.

Main Results:

  • Coherent overhang lengths suggest coupled Drosha and Dicer cleavage sites, supporting a 2-lever model.
  • Single-stranded nucleotides near miRNA boundaries and centers correlate with higher mutation rates.
  • Mirtron pre-miRNAs exhibit distinct structures with hanging ends and higher SNP densities compared to canonical miRNAs.
  • Mirtrons are under positive selection and associated with increased genetic variability, potentially promoting disease, while canonical miRNAs are under negative selection.

Conclusions:

  • The secondary structure of pre-miRNAs provides insights into miRNA biogenesis pathways.
  • Mirtrons possess unique structural and evolutionary properties, distinguishing them from canonical miRNAs.
  • Structural analysis can aid in predicting novel non-canonical miRNAs and reclassifying known ones.

Related Concept Videos

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.8K
Comparative Excretory Systems02:24

Comparative Excretory Systems

Animals have evolved different strategies for excretion, the removal of waste from the body. Most waste must be dissolved in water to be excreted, so an animal’s excretory strategy directly affects its water balance.
26.7K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.1K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
618
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
17.1K
Structures of Solids02:22

Structures of Solids

Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
18.6K