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Cited by 1,659

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Identification of Single Specimens of the Anopheles Gambiae Complex by the Polymerase Chain Reaction

Scott, Julie A., Brogdon, William G., Collins, Frank H.·1993·The American Journal of Tropical Medicine and Hygiene

Abstract

A ribosomal DNA-polymerase chain reaction (PCR) method has been developed for species identification of individuals of the five most widespread members of the Anopheles gambiae complex, a group of morphologically indistinguishable sibling mosquito species that includes the major vectors of malaria in Africa. The method, which is based on species-specific nucleotide sequences in the ribosomal DNA intergenic spacers, may be used to identify both species and interspecies hybrids, regardless of life stage, using either extracted DNA or fragments of a specimen. Intact portions of a mosquito as small as an egg or the segment of one leg may be placed directly into the PCR mixture for amplification and analysis. The method uses a cocktail of five 20-base oligonucleotides to identify An. gambiae, An. arabiensis, An. quadriannnulatus, and either An. melas in western Africa or An. melas in eastern and southern Africa.

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Metadata

Authors
Scott, J. A., Brogdon, W. G., & Collins, F. H.
Venue
The American Journal of Tropical Medicine and Hygiene
Published
1993-10
Volume
49
Issue
4
Pages
520-529
ISSN
0002-9637 (ISSN-L)
OpenAlex
W1831100553
Cited by
1,659
References
0
FWCI
11.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identification of Single Specimens of the Anopheles Gambiae Complex by the Polymerase Chain Reaction. https://app.cochat.ai/papers/10.4269/ajtmh.1993.49.520
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Scott, J. A., Brogdon, W. G., & Collins, F. H. (1993). Identification of Single Specimens of the Anopheles Gambiae Complex by the Polymerase Chain Reaction. The American Journal of Tropical Medicine and Hygiene. https://doi.org/10.4269/ajtmh.1993.49.520

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.