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Cited by 613

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Odorant reception in the malaria mosquito Anopheles gambiae

Open access
Carey, Allison F., Wang, Guirong, Su, Chih-Ying, Zwiebel, Laurence J., Carlson, John R.·2010·Nature

Abstract

The mosquito Anopheles gambiae is the major vector of malaria in sub-Saharan Africa. It locates its human hosts primarily through olfaction, but little is known about the molecular basis of this process. Here we functionally characterize the Anopheles gambiae odorant receptor (AgOr) repertoire. We identify receptors that respond strongly to components of human odour and that may act in the process of human recognition. Some of these receptors are narrowly tuned, and some salient odorants elicit strong responses from only one or a few receptors, suggesting a central role for specific transmission channels in human host-seeking behaviour. This analysis of the Anopheles gambiae receptors permits a comparison with the corresponding Drosophila melanogaster odorant receptor repertoire. We find that odorants are differentially encoded by the two species in ways consistent with their ecological needs. Our analysis of the Anopheles gambiae repertoire identifies receptors that may be useful targets for controlling the transmission of malaria.

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Crossref · 10.1038/nature08834

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Metadata

Authors
Carey, A. F., Wang, G., Su, C.-Y., Zwiebel, L. J., & Carlson, J. R.
Venue
Nature
Published
2010-02-03
Volume
464
Issue
7285
Pages
66-71
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2034711534
Cited by
613
References
45
FWCI
13.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Odorant reception in the malaria mosquito Anopheles gambiae. https://app.cochat.ai/papers/10.1038/nature08834
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Carey, A. F., Wang, G., Su, C.-Y., Zwiebel, L. J., & Carlson, J. R. (2010). Odorant reception in the malaria mosquito Anopheles gambiae. Nature. https://doi.org/10.1038/nature08834

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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.