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Insect cypoviruses: advances in structural characterization, evolutionary genomics, and host interaction dynamics.

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This study offers a comparative genomic analysis of Cypoviruses, revealing conserved gene functions and evolutionary patterns. It establishes criteria for rapid Cypovirus species identification based on genomic segments.

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Area of Science:

  • Virology
  • Genomics
  • Insect Pathology

Background:

  • Cypoviruses are insect-specific double-stranded RNA viruses.
  • They belong to the genus Cypovirus within the family Spinareoviridae.
  • These viruses infect Lepidoptera, Diptera, and Hymenoptera, replicating in midgut cells and forming polyhedra.

Purpose of the Study:

  • To conduct a comprehensive comparative genomic analysis of representative Cypovirus species.
  • To focus on segment-wise gene assignments and identify conserved protein domains and motifs.
  • To establish practical criteria for rapid Cypovirus species identification.

Main Methods:

  • Comparative genomic analysis of Cypovirus species.
  • Segment-wise assignment of viral protein functions.
  • Analysis of nonsynonymous to synonymous substitution (Ka/Ks) ratios.
  • Phylogenetic analysis to understand lineage diversification.

Main Results:

  • Segment 1 universally encodes the major capsid protein; Segment 2 encodes RNA-dependent RNA polymerase (RdRP); Segment 3 encodes the minor capsid protein.
  • Segments 4-5 encode RNA capping enzymes; Segments 6-10 encode other structural or non-structural proteins, including polyhedrin.
  • Evidence of purifying and positive selection identified across genomic segments.
  • Genotypic and phenotypic variability correlates with host, co-infection, and geographic isolation.

Conclusions:

  • Established a reference framework for rapid Cypovirus species identification using genomic demarcation criteria.
  • Provided structural, genomic, and evolutionary insights into Cypovirus biology and diversity.
  • Highlighted functional convergence in protein roles across species despite genotypic variability.