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Identifying the Main Mosquito Species in China Based on DNA Barcoding

Overview of attention for article published in PLOS ONE, October 2012
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Title
Identifying the Main Mosquito Species in China Based on DNA Barcoding
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047051
Pubmed ID
Authors

Gang Wang, Chunxiao Li, Xiaoxia Guo, Dan Xing, Yande Dong, Zhongming Wang, Yingmei Zhang, Meide Liu, Zhong Zheng, Hengduan Zhang, Xiaojuan Zhu, Zhiming Wu, Tongyan Zhao

Abstract

Mosquitoes are insects of the Diptera, Nematocera, and Culicidae families, some species of which are important disease vectors. Identifying mosquito species based on morphological characteristics is difficult, particularly the identification of specimens collected in the field as part of disease surveillance programs. Because of this difficulty, we constructed DNA barcodes of the cytochrome c oxidase subunit 1, the COI gene, for the more common mosquito species in China, including the major disease vectors. A total of 404 mosquito specimens were collected and assigned to 15 genera and 122 species and subspecies on the basis of morphological characteristics. Individuals of the same species grouped closely together in a Neighborhood-Joining tree based on COI sequence similarity, regardless of collection site. COI gene sequence divergence was approximately 30 times higher for species in the same genus than for members of the same species. Divergence in over 98% of congeneric species ranged from 2.3% to 21.8%, whereas divergence in conspecific individuals ranged from 0% to 1.67%. Cryptic species may be common and a few pseudogenes were detected.

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Geographical breakdown

Country Count As %
France 2 1%
Portugal 1 <1%
French Polynesia 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Sri Lanka 1 <1%
Mexico 1 <1%
Unknown 162 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 16%
Researcher 23 14%
Student > Ph. D. Student 23 14%
Student > Bachelor 19 11%
Student > Doctoral Student 10 6%
Other 35 21%
Unknown 33 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 46%
Biochemistry, Genetics and Molecular Biology 20 12%
Environmental Science 8 5%
Medicine and Dentistry 7 4%
Immunology and Microbiology 5 3%
Other 11 6%
Unknown 40 24%