Mitochondrial DNA barcoding of mosquito species (Diptera: Culicidae) in Thailand
Issued Date
2022-09-01
Resource Type
eISSN
19326203
Scopus ID
2-s2.0-85138408403
Pubmed ID
36137118
Journal Title
PLoS ONE
Volume
17
Issue
9 September
Rights Holder(s)
SCOPUS
Bibliographic Citation
PLoS ONE Vol.17 No.9 September (2022)
Suggested Citation
Chaiphongpachara T., Changbunjong T., Laojun S., Nutepsu T., Suwandittakul N., Kuntawong K., Sumruayphol S., Ruangsittichai J. Mitochondrial DNA barcoding of mosquito species (Diptera: Culicidae) in Thailand. PLoS ONE Vol.17 No.9 September (2022). doi:10.1371/journal.pone.0275090 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/86476
Title
Mitochondrial DNA barcoding of mosquito species (Diptera: Culicidae) in Thailand
Other Contributor(s)
Abstract
The correct identification of mosquito species is important for effective mosquito vector control. However, the standard morphological identification of mosquito species based on the available keys is not easy with specimens in the field due to missing or damaged morphological features during mosquito collections, often leading to the misidentification of morphologically indistinguishable. To resolve this problem, we collected mosquito species across Thailand to gather genetic information, and evaluated the DNA barcoding efficacy for mosquito species identification in Thailand. A total of 310 mosquito samples, representing 73 mosquito species, were amplified using mitochondrial cytochrome c oxidase subunit I (COI) primers. The average maximum intraspecific genetic variation of the 73 mosquito species was 1% ranged from 0-5.7%. While, average minimum interspecific genetic variation (the distance to the nearest neighbour) of the 73 mosquito species was 7% ranged from 0.3- 12.9%. The identification of success rates based on the "Best Match,""Best Close Match,"and "All Species Barcodes"methods were 97.7%, 91.6%, and 81%, respectively. Phylogenetic analyses of Anopheles COI sequences demonstrated a clear separation between almost all species (except for those between An. baimaii and An. dirus), with high bootstrap support values (97%-99%). Furthermore, phylogenetic analyses revealed potential sibling species of An. annularis, An. tessellatus, and An. subpictus in Thailand. Our results indicated that DNA barcoding is an effective molecular approach for the accurate identification of mosquitoes in Thailand.