ArticleNeotropical entomology2018
DNA Barcoding for Identification of Sugarcane Borers in China.
Article in Neotropical entomology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The Complete Mitochondrial Genome of Chilo infuscatellus (Lepidoptera: Pyralidae), and Related Phylogenetic Analysis.Biochemical genetics · 2024Article
- Correlation of microbiomes in "plant-insect-soil" ecosystem.Frontiers in microbiology · 2023Article
- Towards a global DNA barcode reference library for quarantine identifications of lepidopteran stemborers, with an emphasis on sugarcane pests.Scientific reports · 2019Article
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Authors and funding
8 authors.
Funding
Abstract
Sugarcane borers are economically damaging insects with species that vary in distribution patterns both geographically and temporally, and vary based on ecological niche. Currently, identification of sugarcane borers is mostly based on morphological characters. However, morphological identification requires taxonomic expertise. An alternative method to identify sugarcane borers is the use of molecular data. DNA barcoding based on partial cytochrome c oxidase subunit 1 (COI) sequences has proven to be a useful tool for rapid and accurate species determination in many insect taxa. This study was conducted to test the effectiveness of DNA barcodes to discriminate among sugarcane borer species in China. Partial sequences of the COI gene (709 bp) were obtained from six species collected from different geographic areas. Results showed that the pairwise intraspecies genetic distance was < 0.02, whereas the interspecies genetic distance ranged from 0.117 to 0.182. Results from a neighbor-joining tree showed that the six sugarcane borer species were certainly separated. These results suggested that the partial COI sequences had high barcoding resolution in discriminating among sugarcane borer species. Our study emphasized the use of DNA barcodes for identification of the analyzed sugarcane borer species and represents an important step for building a comprehensive barcode library for sugarcane borers in China.
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