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Digging into bivalve miRNAomes: between conservation and innovation.

Umberto Rosani1, Enrico Bortoletto1, Chang-Ming Bai2

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Summary

This study reannotates bivalve microRNAs (miRNAs), revealing novel families and improving understanding of gene regulation in these ecologically important molluscs. The findings provide a consistent evolutionary view for future research.

Keywords:
Bivalviabivalvesblood clammicroRNAmussel

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Area of Science:

  • Marine Biology
  • Genomics
  • Molecular Biology

Background:

  • Bivalves are economically and ecologically significant molluscs, valuable for studying adaptation and immunity due to their resilience.
  • Despite advances in bivalve sequencing, non-coding genes and gene regulation remain understudied.
  • MicroRNAs (miRNAs) are key regulators of gene expression in Metazoa.

Purpose of the Study:

  • To review and reannotate the repertoire of bivalve microRNAs (miRNAs).
  • To identify novel miRNA families and improve the accuracy of existing annotations.
  • To establish a homogeneous and evolutionarily consistent dataset of bivalve miRNAs for comparative genomics.

Main Methods:

  • Analysis of existing short non-coding RNA (sncRNA) datasets from five bivalve species.
  • Generation of new sncRNA data for two additional bivalve species: *Mytilus galloprovincialis* and *Scapharca broughtonii*.
  • Reannotation of conserved miRNA families using established criteria for *bona fide* miRNA identification.

Main Results:

  • Identified substantial heterogeneity and incorrect annotations in previously published bivalve miRNA data.
  • Discovered 106 miRNA families absent in prior bivalve datasets.
  • Identified 89 and 87 miRNA complements in *M. galloprovincialis* and *S. broughtonii*, respectively.
  • Uncovered two novel bivalve-specific miRNA families.

Conclusions:

  • The reannotation provides a standardized and evolutionarily consistent view of bivalve miRNAs.
  • The findings enhance the understanding of gene regulation complexity in bivalve molluscs.
  • This curated dataset facilitates future comparative genomic and transcriptomic studies in bivalves.