DNA barcode library and its efficacy for identifying food-associated insect pests in Korea

Seo Young Cho, Kyong In Suh, Yeon Jae Bae

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    Food-associated insect pests are of great economic and hygienic importance. However, their identification requires expert knowledge and excessive time. Such pests are discovered in food as body parts or immature stages, which further complicates the identification process. In this study, we constructed a DNA barcode dataset of insect pests that can be detected in food. We also tested the efficacy of these DNA barcode sequences for identifying food-associated insect pests. A 658 bp fragment of the mitochondrial cytochrome c oxidase subunit I (COI) gene was analyzed from 55 species of food-associated insect pests in Korea. The results indicated that this portion of the COI gene effectively discriminated >90% of the food-associated insect pests. Mean genetic divergences among individuals belonging to one species/between species belonging to one genus of the five orders, Blattaria, Coleoptera, Hymenoptera, Lepidoptera and Diptera, were 0.59%/13.18%, 0.84%/20.10%, 0.02%/22.61%, 0.24%/3.48% and 0.17%/15.90%, respectively. In conclusion, we established the first DNA barcode dataset and confirmed its efficiency for identifying food-associated insect pests in Korea.

    Original languageEnglish
    Pages (from-to)253-261
    Number of pages9
    JournalEntomological Research
    Volume43
    Issue number5
    DOIs
    Publication statusPublished - 2013 Sept

    Keywords

    • Cytochrome c oxidase subunit I gene
    • DNA barcode
    • Food-associated insect pests
    • Korea

    ASJC Scopus subject areas

    • Insect Science

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