PLoS ONEMolecular BiologyPeer-reviewed journal article
Rapid high throughput SYBR green assay for identifying the malaria vectors Anopheles arabiensis, Anopheles coluzzii and Anopheles gambiae s.s. Giles
Joseph ChabiiD, Arjèn van’t Hof, Louis N'Dri, Alex K. DatsomoriD, Dora Okyere, Harun NjorogeiD, Dimitra PipiniiD, Melinda Patricia HadiiD, Dziedzom K. de SouzaiD, Takashi SuzukiiD, Samuel DadzieiD, Helen Pates Jamet
Abstract
The Anopheles gambiae sensu lato species complex consists of a number of cryptic species with different habitats and behaviours. These morphologically indistinct species are identified by chromosome banding and molecular diagnostic techniques which are still under improvement even though the current SINE method for identification between An. coluzzii and An. gambiae works reliably. This study describes a refinement of the SINE method to increase sensitivity and high throughput method for the identification of both species and An. arabiensis using amplicon dissociation characteristics.\n\nField collected samples, laboratory reared colonies and crossed specimens of the two species were used for the design of the protocol. An. gambiae, An. coluzzii, and hybrids of the two species were provided by the insectary of Vestergaard-NMIMR Vector Labs at the Noguchi Memorial Institute for Medical Research (Ghana) and An. arabiensis from Kenya. Samples were first characterised using conventional SINE PCR method, and further assayed using SYBR green, an intercalating fluorescent dye.\n\nThe three species and hybrids were clearly differentiated using the melting temperature of the dissociation curves, with derivative peaks at 72 Celsius for An. arabiensis, 75{degrees}C for An. gambiae and 86{degrees}C for An. coluzzii. The hybrids (An. gambiae / An. coluzzii) showed both peaks. This work is the first to describe a SYBR green real time PCR method for the characterization of An. arabiensis, An. gambiae and An. coluzzii and was purposely designed for basic melt-curve analysis (rather than high-resolution melt-curve) to allow it to be used on a wide range of real-time PCR machines.
- Citations
- 30
- FWCI
- 1.61
- Field percentile
- top 18%
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