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Volume 18, Number 9—September 2012
Letter

Novel Vectors of Malaria Parasites in the Western Highlands of Kenya

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To the Editor: The primary malaria control techniques, indoor application of residual insecticides and insecticide-treated bed nets, are used on the basis of previously assumed key characteristics of behaviors of vectors of malaria parasites, i.e., resting and feeding indoors (1). Any deviation from the typical activities of a species related to exophagy (feeding outdoors) and exophily (living and resting outdoors) (2) or to population replacement, followed by increased outdoor biting or resting (3), may undermine malaria control efforts. Identification of mosquitoes that transmit malaria parasites has, for the most part, relied on the use of outdated morphologic keys (4,5) and, more recently, species-diagnostic PCR (6). Cryptic species or subpopulations that exhibit divergent behaviors (7) may be responsible for maintaining malaria parasite transmission, and without adequate discriminatory techniques, these vectors may be misidentified and their key behavioral differences overlooked.

We evaluated indoor and outdoor trapping methods for anopheline mosquitoes in Bigege village, in Kisii Central District in the highlands of western Kenya, which are prone to periodic malaria epidemics. During May–August 2010, we captured 422 female Anopheles spp. mosquitoes, primarily from indoor and outdoor light traps. Of these, we identified 161 (38.2%) as species previously described as vectors in the area (An. gambiae sensu latu, An. funestus s.l., or An. coustani [8]) by using the standard morphologic key for sub-Saharan species (4). We identified another 52 (12.3%) as species not associated with malaria parasite transmission (1), but 209 (49.5%) could not be definitively identified. We extracted DNA from 418 mosquitoes and analyzed it for sibling species of the An. gambiae complex by using a diagnostic PCR (6). Of the 418 DNA samples tested, 80 (19.1%) were identified as An. arabiensis; 2 specimens were identified as An. gambiae s.s. (0.4%) but the remaining 336 (80.3%) could not be identified by PCR because no amplification product was observed.

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Thumbnail of Phylogenetic tree of sequence group consensuses with National Center of Biotechnology Information reference sequences for mosquitos caught in 2010 in Kisii District, Nyanza Highlands, western Kenya. Sequence groups of caught specimens arbitrarily named species A to J are ranked by abundance. Grey highlighting of text indicates study samples with sporozoites; dashed circles around text indicate study samples that match known African vectors. Scale bar represents nucleotide substituti

Figure. . Phylogenetic tree of sequence group consensuses with National Center of Biotechnology Information reference sequences for Anopheles spp. mosquitoes caught in 2010 in Kisii District, Nyanza Highlands, western Kenya. Sequence groups...

To identify these specimens further, we performed molecular characterization by sequencing the ribosomal second internal transcribed spacer (ITS2) and the mitochondrial CO1 loci. Of the 422 female Anopheles mosquito specimens, we sequenced DNA from 348, of which 74 (21.3%), 33 (9.5%), and 25 (7.2%) corresponded to GenBank sequences of An. arabiensis, An. coustani, and An. funestus mosquitoes, respectively. However, 216 (62.1%) could not be matched (<90% identity) to any of the 224 ITS2 or 164 CO1 published sequences of anopheline vectors or nonvectors. These 216 specimens could be grouped into several separate clades, distinct from known vectors in the area (Figure). Specimens were grouped by ITS2 sequence. These groups were ranked by abundance and arbitrarily named species A-J. Of the 348 sequenced DNA specimens, the most abundant group having identical but novel ITS2 and CO1 sequences (species A, n = 147, 42.2%) could not be matched definitively to a single species by using the morphologic key. The mosquitoes in this group were most frequently caught outdoors (132, 89.8%). For 64 of a total of 192 traps, collections were made every 2 hours between 6:30 pm and 6:30 am for 64 nights. Of 30 specimens of species A from these collections, 22 (73.3%) were caught outdoors before 10:30 pm. Data we have collected on human sleeping patterns from this area suggest that a significant proportion of the population is still outdoors before 10:30 pm and therefore exposed to these vectors.

Five of 293 mosquitoes tested had ELISA results positive for Plasmodium falciparum sporozoites. All 5 had no previously published ITS2 or CO1 sequences, nor could they be identified by morphologic features. All were collected outdoors. Four of the 5 were in the sequence A group (Technical Appendix), and 1 belonged to species I (Figure). The sporozoite rate of 3% in species A was similar to that observed for other predominant anopheline vectors in the area (8).

Since the publication of the most widely available morphologic key (4), 15 new anopheline species have been discovered, for which test results for 1, An. ovengensis from Cameroon, were confirmed to be positive for sporozoites (9). The unidentified mosquitoes in the current study did not match the morphologic descriptions of any of the more recently identified species. These results demonstrate the presence of outdoor-active, early-biting potential malaria parasite vectors not previously described in western Kenya. The outdoor activity of these mosquitoes could lead to the failure of current indoor-based interventions to control this species, and this species could therefore contribute to malaria parasite transmission in the area. These findings highlight the value of the use of characteristics of local Anopheles spp. populations, including their behavior, based on morphologic features and DNA analysis, to accurately determine whether the species is contributing to malaria parasite transmission. This knowledge is essential for implementation of appropriate, and therefore successful, malaria control interventions.

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Acknowledgments

We thank project staff for collection of samples and data management, the community of Bigege for their cooperation, and our partners in the Kenya Medical Research Institute /US Centers for Disease Control and Prevention, Kisumu, Kenya, for their permission to undertake the study and for guidance and logistical support.

This project was funded by the Bill and Melinda Gates Foundation, under the Malaria Transmission Consortium, grant no. 45114.

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Jennifer StevensonComments to Author , Brandyce St. Laurent, Neil F. Lobo, Mary K. Cooke, Samuel C. Kahindi, Robin M. Oriango, Ralph E. Harbach, Jonathan Cox, and Chris Drakeley
Author affiliations: London School of Hygiene and Tropical Medicine, London, UK (J. Stevenson, M.K. Cooke, J. Cox, C. Drakeley); University of Notre Dame, Notre Dame, Indiana, USA (B. St. Laurent, N.F. Lobo); Kenya Medical Research Institute Centre for Global Health Research, Kisumu, Kenya (S.C. Kahindi, R.M. Oriango); and Natural History Museum, London (R.E. Harbach)

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References

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  8. Ototo  EN, Githeko  AK, Wanjala  CL, Scott  TW. Surveillance of vector populations and malaria transmission during the 2009/10 El Niño event in the western Kenya highlands: opportunities for early detection of malaria hyper-transmission. Parasit Vectors. 2011;4:144. PubMed DOIGoogle Scholar
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Cite This Article

DOI: 10.3201/eid1809.120283

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Jennifer Stevenson, London School of Hygiene and Tropical Medicine, Faculty of Infectious Diseases, Department of Disease Control, Keppel Street, London WC1E 7HT, UK

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Page created: August 27, 2012
Page updated: August 27, 2012
Page reviewed: August 27, 2012
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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