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Deciphering Single Nucleotide Polymorphisms and Evolutionary Trends in Isolates of the Cydia pomonella granulovirus

Jörg T Wennmann1, Pit Radtke2, Karolin E Eberle3,4

  • 1Institute for Biological Control, Federal Research Centre for Cultivated Plants, Julius Kühn Institute, Heinrichstraße 243, 64287 Darmstadt, Germany. joerg.wennmann@julius-kuehn.de.

Viruses
|August 19, 2017
PubMed

Insights

This study sequenced six Cydia pomonella granulovirus (CpGV) genomes, revealing genetic diversity and evolutionary relationships. Single nucleotide polymorphisms (SNPs) were mapped, enabling precise identification of CpGV isolates.

Area of Science:

  • Virology
  • Genomics
  • Evolutionary Biology

Background:

  • Cydia pomonella granulovirus (CpGV) is a significant pest control agent.
  • Understanding CpGV genetic diversity is crucial for effective pest management strategies.
  • Previous sequencing efforts have identified distinct phylogenetic lineages of CpGV.

Purpose of the Study:

  • To analyze the genetic diversity and evolutionary processes of six CpGV isolates from different geographic regions.
  • To compare complete genome sequences and identify variations among CpGV isolates.
  • To develop a genome-wide SNP map for CpGV isolate identification.

Main Methods:

  • Whole-genome sequencing of six CpGV isolates.
  • Alignment and comparative analysis of genome sequences.
  • Phylogenetic analysis to determine evolutionary relationships.
  • Identification and mapping of single nucleotide polymorphisms (SNPs).

Main Results:

  • Genome sizes ranged from 120,816 bp to 124,269 bp with high co-linearity.
  • Phylogenetic analysis revealed distinct basal and derived lineages.
  • An increasing trend in genome size and decreasing GC content was observed from basal to derived lineages.
  • A total of 788 SNPs were identified, with 534 being isolate-specific, enabling precise identification.

Conclusions:

  • The study provides a comprehensive genomic comparison of CpGV isolates, clarifying their evolutionary relationships.
  • The developed SNP map is a valuable tool for the accurate detection and identification of CpGV isolates.
  • Findings contribute to a deeper understanding of CpGV evolution and facilitate targeted pest control strategies.

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