Genetic variability and phylogenetic analysis among strains of deformed wing virus infesting honey bees and other

Hossam Abou-Shaara1, Sara AlAshaal2, Mohamed Nasser2

  • 1Department of Plant Protection, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt.

Insights

Deformed wing virus (DWV) poses a significant threat to honey bees. Bioinformatics analysis of 27 DWV strains revealed minimal genetic variation, with strains clustering geographically, suggesting rapid mutations.

Area of Science:

  • Virology
  • Bioinformatics
  • Apiculture

Background:

  • Deformed wing virus (DWV) is a major pathogen impacting honey bee (Apis mellifera) health and contributing to colony losses.
  • Existing research lacks comparative bioinformatics analyses of different DWV strains.
  • Understanding DWV strain characteristics is crucial for effective disease management in honey bees.

Purpose of the Study:

  • To analyze the genetic characteristics and relationships of 27 DWV strains using bioinformatics.
  • To design and test primers for differentiating DWV strains.
  • To investigate geographical patterns in DWV strain distribution.

Main Methods:

  • Bioinformatic analysis of 27 DWV strain sequences.
  • Phylogenetic tree construction and network analysis to determine genetic relationships.
  • Design and experimental validation of novel primers for DWV strain identification.

Main Results:

  • Nucleotide composition (A, G, C, T percentages) and nucleotide diversity were highly similar across all analyzed DWV strains.
  • Phylogenetic analysis grouped DWV strains into three distinct clusters based on geographical origin (USA/Europe and Asia).
  • One newly designed primer demonstrated effective binding to most DWV strains, indicating potential for diagnostic applications.

Conclusions:

  • DWV strains exhibit limited genetic variation, suggesting rapid mutation rates.
  • Geographical location is a significant factor in DWV strain clustering.
  • Further genetic studies are needed in underrepresented regions, and developed primers show promise for DWV strain detection.

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