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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
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Exploring the miRNA regulatory network using evolutionary correlations.

Benedikt Obermayer1, Erel Levine1

  • 1Systems Biology of Gene Regulatory Elements, Max-Delbrück Center for Molecular Medicine, Berlin, Germany; Department of Physics and Center for Systems Biology, Harvard University, Cambridge, United Kingdom.

Plos Computational Biology
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Summary
This summary is machine-generated.

MicroRNAs (miRNAs) regulate genes, but their effects are subtle. This study introduces a Bayesian framework to analyze conserved miRNA target sites, revealing collective regulatory functions and network connectivity through evolutionary patterns.

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Molecular biology

Background:

  • MicroRNAs (miRNAs) are key post-transcriptional regulators in metazoans, influencing a large fraction of genes.
  • Individual miRNA effects are often modest, suggesting collective action within complex regulatory networks.
  • Understanding the evolutionary basis of miRNA network structure and function is crucial.

Purpose of the Study:

  • To develop a Bayesian framework for quantifying the conservation of miRNA target sites using vertebrate genome alignments.
  • To detect evolutionary correlations in conservation patterns of miRNA target site pairs, indicating collective regulation.
  • To investigate how regulatory network connectivity varies across different miRNA families and gene sets.

Main Methods:

  • Utilized a Bayesian phylogenetic model applied to vertebrate whole-genome alignments.
  • Quantified conservation of miRNA target sites and analyzed co-conservation patterns between site pairs.
  • Examined evolutionary signatures of coordinated targeting in curated gene sets like protein complexes and signaling pathways.

Main Results:

  • The phylogenetic model detected significant evolutionary correlations in the conservation of miRNA target site pairs.
  • Identified miRNA families with high co-targeting constraints (high connectivity) and others functioning more independently.
  • Observed distinct evolutionary patterns for protein complexes and signaling pathways, suggesting different regulatory strategies.

Conclusions:

  • Co-conservation of miRNA target sites provides evidence for the selective benefit of combinatorial miRNA regulation.
  • The developed method reveals varying connectivity within miRNA regulatory networks.
  • This evolutionary approach offers insights into regulatory network control strategies and is adaptable for other genomic analyses.