2014Journal of Applied EntomologyRequires access

DNA barcoding of Bradysia (Diptera: Sciaridae) for detection of the immature stages on agricultural crops

Sook Shin, Sang Woo Jung, Kai Heller, Frank Menzel, Tae-Kyun Hong, Jeong‐seop Shin, Sue Hyeung Lee, S. Lee, Hee-Soo Lee, S. Lee, S. Lee

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Abstract

Abstract We investigated the usefulness of mitochondrial cytochrome c oxidase (COI) DNA barcoding of the genus Bradysia for the detection of immature stages and cryptic species complex. Although the larvae of some species in this genus are agricultural pests, immature stages are rarely identified due to the lack of key morphological characteristics. We constructed partial sequences of the COI gene for 25 species of Bradysia as a first step towards a DNA barcode. Using these data, Bradysia impatiens, B. procera and B. peraffinis were identified from larval specimens collected, respectively, from paprika, ginseng and oak sawdust beds used for cultivating shiitake. Our findings reveal a complex of three species within the B. tilicola group. These species were all identified as important pest B. ocellaris based on the morphology of male genital structures; however, the interspecific genetic divergence of the COI region was significantly greater (16.1–19.4%) than the intraspecific variation in each species. Therefore, B. ocellaris may consist of at least three species. The results demonstrate that COI DNA barcodes are useful for Bradysia species identification.

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Abstract We investigated the usefulness of mitochondrial cytochrome c oxidase (COI) DNA barcoding of the genus Bradysia for the detection of immature stages and cryptic species complex. Although the larvae of some species in this genus are agricultural pests, immature stages are rarely identified due to the lack of key morphological characteristics. We constructed partial sequences of the COI gene for 25 species of Bradysia as a first step towards a DNA barcode. Using these data, Bradysia impatiens, B. procera and B. peraffinis were identified from larval specimens collected, respectively, from paprika, ginseng and oak sawdust beds used for cultivating shiitake. Our findings reveal a complex of three species within the B. tilicola group. These species were all identified as important pest B. ocellaris based on the morphology of male genital structures; however, the interspecific genetic divergence of the COI region was significantly greater (16.1–19.4%) than the intraspecific variation in each species. Therefore, B. ocellaris may consist of at least three species. The results demonstrate that COI DNA barcodes are useful for Bradysia species identification.

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Available abstract

Abstract We investigated the usefulness of mitochondrial cytochrome c oxidase (COI) DNA barcoding of the genus Bradysia for the detection of immature stages and cryptic species complex. Although the larvae of some species in this genus are agricultural pests, immature stages are rarely identified due to the lack of key morphological characteristics. We constructed partial sequences of the COI gene for 25 species of Bradysia as a first step towards a DNA barcode. Using these data, Bradysia impatiens, B. procera and B. peraffinis were identified from larval specimens collected, respectively, from paprika, ginseng and oak sawdust beds used for cultivating shiitake. Our findings reveal a complex of three species within the B. tilicola group. These species were all identified as important pest B. ocellaris based on the morphology of male genital structures; however, the interspecific genetic divergence of the COI region was significantly greater (16.1–19.4%) than the intraspecific variation in each species. Therefore, B. ocellaris may consist of at least three species. The results demonstrate that COI DNA barcodes are useful for Bradysia species identification.

Key concepts: Biology, DNA barcoding, Sciaridae, Interspecific competition, Zoology, Genus, Species complex, Botany

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DNA barcoding of Bradysia (Diptera: Sciaridae) for detection of the immature stages on agricultural crops — Research Paper | ScholarLens