Genetic characterization of the gypsy moth from China (Lepidoptera, Lymantriidae) using inter simple sequence repeats markers

PLoS One. 2013 Aug 7;8(8):e73017. doi: 10.1371/journal.pone.0073017. eCollection 2013.

Abstract

This study provides the first genetic characterization of the gypsy moth from China (Lymantriadispar), one of the most recognized pests of forests and ornamental trees in the world. We assessed genetic diversity and structure in eight geographic populations of gypsy moths from China using five polymorphic Inter simple sequence repeat markers, which produced reproducible banding patterns. We observed 102 polymorphic loci across the 176 individuals sampled. Overall genetic diversity (Nei's, H) was 0.2357, while the mean genetic diversity within geographic populations was 0.1845 ± 0.0150. The observed genetic distance among the eight populations ranged from 0.0432 to 0.1034. Clustering analysis (using an unweighted pair-group method with arithmetic mean and multidimensional scaling), revealed strong concordance between the strength of genetic relationships among populations and their geographic proximity. Analysis of molecular variance demonstrated that 25.43% of the total variability (F ST = 0.2543, P < 0.001) was attributable to variation among geographic populations. The results of our analyses investigating the degree of polymorphism, genetic diversity (Nei's and Shannon) and genetic structure, suggest that individuals from Hebei may be better able to adapt to different environments and to disperse to new habitats. This study provides crucial genetic information needed to assess the distribution and population dynamics of this important pest species of global concern.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Analysis of Variance
  • Animals
  • China
  • Cluster Analysis
  • Female
  • Genetic Variation*
  • Geography
  • Male
  • Microsatellite Repeats / genetics*
  • Moths / classification
  • Moths / genetics*
  • Phylogeny
  • Polymorphism, Genetic*
  • Species Specificity

Grants and funding

This work was supported by the National Natural Science Foundation of China (31170613), the Fundamental Research Funds for the Central Universities (BLYJ201306), and Program for New Century Excellent Talents in University (NCET-10-0232). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.