Skip to main content

Anopheles farauti is a homogeneous population that blood feeds early and outdoors in the Solomon Islands



In the 1970s, Anopheles farauti in the Solomon Island responded to indoor residual spraying with DDT by increasingly feeding more outdoors and earlier in the evening. Although long-lasting insecticidal nets (LLINs) are now the primary malaria vector control intervention in the Solomon Islands, only a small proportion of An. farauti still seek blood meals indoors and late at night where they are vulnerable to being killed by contract with the insecticides in LLINs. The effectiveness of LLINs and indoor residual spraying (IRS) in controlling malaria transmission where the vectors are exophagic and early biting will depend on whether the predominant outdoor or early biting phenotypes are associated with a subpopulation of the vectors present.


Mark-release-recapture experiments were conducted in the Solomon Islands to determine if individual An. farauti repeat the same behaviours over successive feeding cycles. The two behavioural phenotypes examined were those on which the WHO recommended malaria vector control strategies, LLINs and IRS, depend: indoor and late night biting.


Evidence was found for An. farauti being a single population regarding time (early evening or late night) and location (indoor or outdoor) of blood feeding. Individual An. farauti did not consistently repeat behavioural phenotypes expressed for blood feeding (e.g., while most mosquitoes that fed early and outdoors, and would repeat those behaviours, some fed late at night or indoors in the next feeding cycle).


The finding that An. farauti is a homogeneous population is significant, because during the multiple feeding cycles required to complete the extrinsic incubation period, many individual female anophelines will enter houses late at night and be exposed to the insecticides used in LLINs or IRS. This explains, in part, the control that LLINs and IRS have exerted against a predominantly outdoor feeding vector, such as An. farauti. These findings may be relevant to many of the outdoor feeding vectors that dominate transmission in much of the malaria endemic world and justifies continued use of LLINs. However, the population-level tendency of mosquitoes to feed outdoors and early in the evening does require complementary interventions to accelerate malaria control towards elimination.


Environmental conditions outside of that normally experienced by a population are closely associated with phenotypic change in that population [1, 2], and one common example of a changed environment is prolonged exposure of insects to insecticides. The response of an insect population to insecticide pressure is governed by interacting ecological phenomena and depends on numerous factors including the timing and magnitude of pressure as well as the life-cycle stage that is targeted. In response to ecological change, populations may respond with allee effects, viability selection, fecundity selection, maternal effects and within-individual phenotypic plasticity [3]. Understanding these responses is essential for defining policy and optimising vector control operations [4].

Anopheline mosquito populations were under intensive pressure from extensive DDT applications during the Global Malaria Eradication Program (GMEP), launched in 1955, and one of the technical reasons given for the failure to eliminate malaria was behavioural adaptations by the mosquito vectors [57]. Those mosquito populations that responded by changing their behaviour to avoid DDT by feeding and/or resting outdoors had a selective advantage. This was observed after DDT use in various species including Anopheles farauti [8, 9], An. sundaicus [10], An. pseudopunctipennis [11, 12] and An. albimanus [1113]. Towards the end of the GMEP, transmission continued in many “problem areas” by physiologically susceptible vectors that avoided or minimized their exposure to DDT [57]. However, the mechanistic drivers of behavioural resistance remain undefined. One possible explanation is that specific karyotype inversions associated with feeding or resting outdoors became assimilated in the population through selection.

Another unresolved question is whether insecticidal pressure was uniform and led to behavioural changes across entire mosquito populations or if subpopulations developed with different behaviours. The existence of subpopulations with associated behavioural phenotypes could further threaten the impact of malaria vector control measures if the subpopulation has an associated phenotype rendering it less susceptible to a vector control intervention; for instance exclusive exophagy (outdoor feeding) would make bednets inconsequential. The hypothesis that subpopulations may be evolving is drawn from observations in West Africa, where An. gambiae sensu stricto displays intraspecific polymorphism with sympatric taxa having characteristic combinations of chromosomal inversions (Mopti, Bamako, Savanna, Bissau and Forest) [14]. These distinct subpopulations display different ecological tolerances [14, 15]. For example, the Mopti form has the unique ability to breed throughout the dry season in irrigated areas [16]. For An. arabiensis (a member of the An. gambiae complex), simultaneous collections of An. arabiensis made in Nigeria from inside and outside of houses had associated inversion karyotypes [17].

In Melanesia, isolated island populations of An. farauti vary in their night biting profile and degree of endophily [1820], and this variance is likely to have resulted from restricted gene flow between islands [21]. The behavioural phenotypes that directly determine the effectiveness of indoor vector control with long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are the time (nocturnality) and location (endophagy) of blood feeding. A series of mark-release-recapture experiments were undertaken to define the consistency of these key behavioural phenotypes in an An. farauti population.


Study site

The study was conducted in Haleta village on Ngella Sule Island in Central Province, Solomon Islands (−9°5′56″S, 160°6′56″E) [23]. This rural coastal village of 470 people is bounded by the ocean to the south and rugged mountains to the north (Bed net census, 2010, Solomon Islands Ministry of Health, unpublished data). The climate is hot and wet and has an annual rainfall of 2837 mm (based on 43 years of data collected at the provincial capital Tulagi approximately 10 km from Haleta village) [24]. The mean annual temperature is 26 °C with daily temperatures ranging from 30 °C during the day to 24 °C at night and is reasonably constant throughout the year. Malaria is vectored by An. farauti sensu stricto.

Mosquito sampling and processing

The mark-release-recapture experiments sampled An. farauti by human landing catch (HLC) [25] over 14 consecutive nights. For the initial 7 nights of each experiment, wild blood-fed female An. farauti of unknown chronological age were marked with fluorescent dust and released. For nights 2 through 14, all captured Anopheles were visually checked for dust markings using a UV torch and any recaptured marked mosquitoes were separated prior to further manipulations. HLC stations were located along the length of the village [23]. Captured mosquitoes were held in individual waxed paper cups for each hour and location of collection. Each hour, all Anopheles were morphologically identified [26] and counted by hour and location of collection.

Captured An. farauti were pooled by time of collection (e.g. early [18.00–21.00 h] or late feeding [00.00–06.00 h] or location of collection [e.g., indoors or outdoors]). These An. farauti were marked with a unique fluorescent dust colour for time or location of collection (Fig. 1). For marking, a maximum of 100 blood-fed mosquitoes were placed into plastic 250 ml cups covered with netting. A small amount of fluorescent powder (BioQuip Products, Inc. California, USA and Glow Paint Industries, Queensland, Australia) was sifted through the netting into the cup; a fine tipped transfer pipette was used to aerosolize the powder which coated the mosquitoes. The effectiveness of this procedure was checked by examining the mosquitoes in each cup with a LED UV torch (400 nm wavelength) to ensure that they were adequately marked with the powder. The mosquitoes were released on the night of collection from a single outdoor location. The distance from the release site to the furthest HLC collection station was 190 m. All mosquitoes not released were stored in 100 % ethanol in micro-centrifuge tubes. A sample of the captured An. farauti was identified by molecular analysis of the internal transcribed spacer region II of the ribosomal DNA [27].

Fig. 1
figure 1

Anopheles farauti mosquito that has been marked with green fluorescent dust for the mark-release-recapture experiment

Experiment 1: Time of host-seeking: early versus late feeding

The hypothesis of experiment 1 tested if there were separate early and late feeding populations of An. farauti (e.g., do individual An. farauti repeatedly feed at the same time of the night or do individual An. farauti sometimes feed early and other times feed late?). The experiment was conducted from 23rd November–6th December 2011. Mosquitoes were sampled from 6 outdoor collection stations from 18.00–06.00 h. Mosquito collectors worked from 18.00–00.00 h and were replaced by a second team that worked from 00.00–06.00 h. Early host-seeking mosquitoes were defined as those that were captured by HLC between 18.00–21.00 h; late night host-seeking mosquitoes were defined as those captured by HLC between 00.00–06.00 h. A 3 h period (21.00–00.00 h) provided a buffer between the early and late phenotypes. The mosquitoes caught early and those captured late were marked with different colour fluorescent dusts before release. Marked blood-fed An. farauti were released shortly after 06.00 h. The An. farauti specimens were processed as described above in “Mosquito sampling and processing” section.

Experiment 2: Host-seeking location: indoor versus outdoor feeding

Experiment 2 tested the hypothesis of whether separate indoor and outdoor feeding populations of An. farauti exist [e.g., do individual An. farauti repeatedly seek blood meals at the same location (indoors or outdoors) in consecutive feeds]. The experiment was conducted over 14 consecutive nights from 2 to 16 May 2012. Anopheles farauti were sampled from 10 collection stations by HLC between 18.00–00.00 h. Each sampling station consisting of two collection sites: one site was inside a house and the second site was outdoors at a distance of at least 10 m from the indoor collector. The An. farauti caught indoors or outdoors were marked with different colours of florescent dust to differentiate the location (indoors or outdoors) at which they were initially caught host-seeking. Marked An. farauti were released shortly after midnight. The An. farauti specimens were processed as described above in “Mosquito sampling and processing” section.

Statistical analysis

The data was compiled in a series of tables which detailed the results of: (1) mosquito collections, (2) molecular analyses and (3) mark-release-recapture releases [28]. The results of the mark-release-recapture experiments were analysed using generalized linear models (GLMs) with a binomial distribution and a categorical explanatory variable for mosquito label (i.e. unmarked or dusted). For experiment 1 (time of host seeking), the dependent binary variable contained the number of mosquitoes caught biting either early or late in the night. For experiment 2 (host-seeking location), the dependent binary variable contained the number of mosquitoes caught biting either indoors or outdoors. All analyses were conducted using the R package V3.1.2 [29].


Ethical approval for the study was obtained from the National Health Research and Ethics Committee, Solomon Islands (02-05-2011), the James Cook University Human Research Ethics Committee, Australia (H4122) and the University Hospitals Case Medical Centre Institutional Review Board for Human Investigation, USA (05-11-11). Mosquito collectors were recruited from the village residents after the risks were explained and they signed an informed consent agreement. Only village adults who likely have some immunity to malaria were asked to participate in the landing catches and were instructed to capture the mosquitoes before they bite, and all took malaria prophylaxis. To estimate the duration of the feeding cycle by mark-release-recapture, mosquitoes were offered a human blood meal prior to release from authors on malaria prophylaxis.


Experiment 1: Time of host seeking: early versus late feeding

Over the 14 night experiment, 1388 An. farauti were caught by HLC. A sample of the specimens (n = 92) were confirmed as An. farauti s.s. by molecular analysis. There was a strong tendency for mosquitoes to feed early in the evening, with 82 % (n = 934) of An. farauti caught between 18.00 and 21.00 h (i.e. early feeding), and only 18 % (n = 204) of An. farauti caught between 00.00 and 06.00 h [i.e. late feeding; noting that this ratio excluded the portion of mosquitoes (n = 248) caught between 21.00 and 00.00 h]. A total of 618 marked An. farauti were released (510 initially caught early and 108 initially caught late). The overall recapture rate of marked An. farauti was 3.6 % (n = 18). Of the An. farauti that were released after being captured early, 78 % (n = 7) were recaptured during this same time (18.00–21.00 h), with 22 % (n = 2) being recaptured late at night (between 00.00–06.00 h). Of the mosquitoes that were originally captured after midnight, 89 % (n = 8) were sequentially recaptured feeding early (18.00–21.00 h) and only 11 % (n = 1) was recaptured during the late night feeding period (00.00–06.00 h; Fig. 2). The ratio of early to late biting mosquitoes was not significantly different between the unmarked population and either of the recaptured populations (Table 1).

Fig. 2
figure 2

The preference of An. farauti to host-seek early (18.00–21.00 h) or late (00.00–06.00 h) as examined by a mark-release-recapture experiment. The expected proportion was calculated directly for the overall human landing catch dataset (a). The second capture indicates where mosquitoes were recaptured after they were marked and released (b)

Table 1 A comparison of the proportion of mosquitoes caught biting either early or late in the night for each experimental mosquito label and analysed with a binomial generalized linear model (GLM)

Experiment 2: Host-seeking location: indoor versus outdoor feeding

Over the 14 night experiment, 1008 An. farauti were caught by HLC. A sample of the specimens (n = 28) were confirmed as An. farauti s.s. by molecular analysis, with nine being recaptured specimens. Sixty-five percent (n = 654) of An. farauti were initially captured outdoors with 35 % (n = 354) captured indoors. A total of 684 An. farauti were marked with fluorescent dusts and released (482 initially caught outdoors and 202 initially caught indoors). The overall recapture rate of marked An. farauti was 13.0 % (n = 89). Of the An. farauti that were originally captured indoors, 67 % (n = 14) were recaptured outdoors with 33 % (n = 7) recaptured indoors. Of the An. farauti that were originally captured outdoors, 56 % (n = 38) were subsequently recaptured outdoors with 44 % (n = 30) recaptured indoors (Fig. 3). There was no significant difference in the ratio of indoor to outdoor biting An. farauti found between the unmarked and recaptured populations (Table 2).

Fig. 3
figure 3

The preference of An. farauti to host-seek indoors or outdoors as examined by a mark-release-recapture experiment. The expected proportion was calculated directly for the overall human landing catch dataset (a). The second capture indicates where mosquitoes were recaptured after they were marked and released (b)

Table 2 A comparison of the proportion of mosquitoes caught biting either indoors or outdoors for each experimental mosquito label and analysed with a binomial generalized linear model (GLM)


Evidence was found for An. farauti being a single population; although it usually feeds outdoors and early, it sometimes feeds indoors and late. This population of mosquitoes was studied because it had altered its preferred feeding behaviour after prolonged insecticide exposure (initially DDT-IRS, and then insecticide treated nets and/or pyrethroid-IRS) [22, 30, 31]. Recent studies of An. farauti populations in the Solomon Islands observed a strong tendency for females to bite outdoors and early in the evening. The reported proportion of blood meals on humans taking place indoors (πi values) ranged from 0.130 to 0.546 across Central, Guadalcanal, Temotu and Isabel Provinces [1820, 23].

Prior to An. farauti changing its feeding behaviour to what is expressed today, the populations were homogeneous for host seeking behaviour. Previously in Madang, Papua New Guinea and Guadalcanal, Solomon Islands, the possibility of subpopulations of indoor/outdoor or early/late feeding An. farauti was directly examined with mark-recapture experiments but no heterogeneity in the population was evident [32, 33]. At the time when these experiments were conducted in the 1980s, the An. farauti populations exhibited almost even indoor and outdoor biting in Madang and Guadalcanal [33, 34] with the Madang population expressing a nocturnal biting behaviour with peak biting in the middle of the night [34].

The degree to which the vector feeds indoors (endophagy) and during times when humans are sleeping (nocturnal) will largely determine the effectiveness of LLINs by determining the proportion of vectors that are potentially exposed to the insecticide during each feeding cycle. The finding that An. farauti is a homogeneous population in terms of feeding behaviour is significant as it means that the population is composed of individuals whose potential insecticide exposure to LLINs is uniform. Across multiple feeding cycles, each individual female can potentially enter houses and be exposed to the insecticide in LLINs. Hence, although An. farauti is primarily exophagic, indoor vector control tools still provide an important level of control [35]. Another anopheline population with homogenous indoor/outdoor biting feeding was An. maculatus in Malaysia [36]. However, significant heterogeneity in indoor/outdoor resting populations was found associated with polymorphic isozyme loci for An. balabacensis in Malaysia [37, 38].

Evidence has been emerging that other anopheline mosquito populations are altering their behaviour to avoid prolonged insecticide exposure, such as An. funestus in Tanzania [39], Benin [40] and Senegal [41] as well as An. gambiae s.s. in Equatorial Guinea [42]. The underlying mechanisms for the altered behaviour of An. funestus and An. gambiae are unknown [43]. Nonetheless, the risks of behavioural phenotype change to effective mosquito control with LLINs and IRS are uncertain but are likely to be variable depending on the proportions of vector populations that are endophagic and nocturnal and whether the vector population is comprised of subpopulations associated with endophagy and time of feeding.


Evidence was found for a behaviourally homogeneous population of An. farauti. Anopheles farauti does not have subpopulations that consistently seek blood meals either indoors or outdoors or that seek blood meals early as opposed to late at night. This is significant because, while the probability of any individual female mosquito entering a house late at night to blood feed is low during any one feeding cycle, over the course of the extrinsic incubation period composed of multiple feeding cycles, the potential to be exposed to insecticides in LLINs (or IRS) is significant. Hence, even highly exophilic and early feeding vectors can be controlled by interventions that are implemented inside houses. However, malaria elimination is unlikely to be obtained by vector control in the absence of additional interventions that complement the indoor protection afforded by LLINs and IRS by killing or minimizing man-vector contract outside of houses.

Availability of data and materials

The datasets supporting the conclusions of this article are available in the James Cook University Tropical Data Hub repository:



generalized linear model


Global Malaria Eradication Program


human landing catch


indoor residual spraying


long-lasting insecticidal nets


  1. Badyaev AV. Stress-induced variation in evolution: from behavioural plasticity to genetic assimilation. Proc R Soc Lond B. 2005;272:877–86. doi:10.1098/rspb.2004.3045.

    Article  Google Scholar 

  2. Hoffman AA, Hercus MJ. Environmental stress as an evolutionary force. Bioscience. 2000;50:217–26.

    Article  Google Scholar 

  3. Candolin U, Wong BB. Behavioural responses to a changing world: mechanisms and consequences. Oxford: Oxford University Press; 2012.

    Book  Google Scholar 

  4. Ferguson H, Maire N, Takken W, Lyimo I, Briet O, Lindsay S, et al. Selection of mosquito life-histories: a hidden weapon against malaria? Malar J. 2012;11:106. doi:10.1186/1475-2875-11-106.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Elliott R. The influence of vector behaviour on malaria transmission. Am J Trop Med Hyg. 1972;21:755–63.

    CAS  PubMed  Google Scholar 

  6. Hamon J, Mouchet J, Brengues J, Chauvet G. Problems facing Anopheline vector control. Vector ecology and behaviour before, during, and after application of control measures. Misc Publ Entomol Soc Am. 1970;7:28–44.

    CAS  Google Scholar 

  7. Mattingly PF. Mosquito behaviour in relation to disease eradication programmes. Annu Rev Entomol. 1962;7:419–36.

    Article  CAS  PubMed  Google Scholar 

  8. Slooff R. Observations on the effect of residual DDT house spraying on behaviour and mortality in species of the Anopheles punctulatus group. Final report on a research project in West New Guinea [PhD Thesis]. Leyden: University of Leyden; 1964.

  9. Thevasagayam ES. Malaria control strategies in the Southwest Pacific countries-reappraisal. Kuala Lumpur: World Health Organization; 1983.

    Google Scholar 

  10. Sundararaman S. The behaviour of A. sundaicus Rodenwaldt in relation to the application of residual insecticides in Tjilatjap, Indonesia. Indian J Malariol. 1958;12:129–56.

    CAS  PubMed  Google Scholar 

  11. de Zulueta J, Garrett-Jones C. An investigation of the persistence of malaria transmission in Mexico. Geneva: World Health Organization; 1963.

    Google Scholar 

  12. Martinez-Palomo A, de Zulueta J. Ethological changes in Anopheles pseudopunctipennis in Mexico after prolonged use of DDT. Geneva: World Health Organization; 1964.

    Google Scholar 

  13. Trapido H. Modified response of Anopheles albimanus to DDT residual house spraying in Panama. Am J Trop Med Hyg. 1952;1:853–61.

    CAS  PubMed  Google Scholar 

  14. Krzywinski J, Besansky NJ. Molecular systematics of Anopheles: from subgenera to subpopulations. Annu Rev Entomol. 2003;48:111–39. doi:10.1146/annurev.ento.48.091801.112647.

    Article  CAS  PubMed  Google Scholar 

  15. White BJ, Collins FH, Besansky NJ. Evolution of Anopheles gambiae in relation to humans and malaria. Annu Rev Ecol Evol Syst. 2011;42:111–32. doi:10.1146/annurev-ecolsys-102710-145028.

    Article  Google Scholar 

  16. Gimonneau G, Bouyer J, Morand S, Besansky NJ, Diabate A, Simard F. A behavioral mechanism underlying ecological divergence in the malaria mosquito Anopheles gambiae. Behavioral Ecol. 2010;21:1087–92. doi:10.1093/beheco/arq114.

    Article  Google Scholar 

  17. Coluzzi M, Sabatini A, Petrarca V, Di Deco MA. Behavioural divergences between mosquitoes with different inversion karyotypes in polymorphic populations of the Anopheles gambiae complex. Nature. 1977;266:832–3. doi:10.1038/266832a0.

    Article  CAS  PubMed  Google Scholar 

  18. Bugoro H, Cooper R, Butafa C, Iro’ofa C, Mackenzie D, Chen C-C, et al. Bionomics of the malaria vector Anopheles farauti in Temotu Province, Solomon Islands: issues for malaria elimination. Malar J. 2011;10:133. doi:10.1186/1475-2875-10-133.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bugoro H, Iro’ofa C, Mackenzie D, Apairamo A, Hevalao W, Corcoran S, et al. Changes in vector species composition and current vector biology and behaviour will favour malaria elimination in Santa Isabel Province, Solomon Islands. Malar J. 2011;10:287. doi:10.1186/1475-2875-10-287.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Bugoro H, Hii J, Butafa C, Iroofa C, Apairamo A, Cooper R, et al. The bionomics of the malaria vector Anopheles farauti in Northern Guadalcanal, Solomon Islands: issues for successful vector control. Malar J. 2014;13:56. doi:10.1186/1475-2875-13-56.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ambrose L, Cooper RD, Russell TL, Burkot TR, Lobo NF, Collins FH, et al. Microsatellite and mitochondrial markers reveal strong gene flow barriers for Anopheles farauti in the Solomon Archipelago: implications for malaria vector control. Int J Parasitol. 2014;44:225–33. doi:10.1016/j.ijpara.2013.12.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Russell TL, Beebe NW, Cooper RD, Lobo NF, Burkot TR. Successful malaria elimination strategies require interventions that target changing vector behaviours. Malar J. 2013;12:56. doi:10.1186/1475-2875-12-56.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Russell TL, Beebe NW, Bugoro H, Apairamo A, Chow W, Cooper RD et al. Frequent blood feeding enables insecticide-treated nets to reduce transmission by mosquitoes that bite predominately outdoors. Malar J. 2016. doi:10.1186/s12936-016-1195-8.

  24. Brookfield HC, Hart D. Rainfall in the tropical southwest Pacific. Canberra: Department of Geography, Publ G/3, The Australian National University; 1966.

  25. Gimnig JE, Walker ED, Otieno P, Kosgei J, Olang G, Ombok M, et al. Incidence of malaria among mosquito collectors conducting human landing catches in Western Kenya. Am J Trop Med Hyg. 2013;88:301–8. doi:10.4269/ajtmh.2012.12-0209.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Belkin JN. The mosquitoes of the South Pacific (Diptera, Culicidae). Berkeley and Los Angeles: University of California Press; 1962.

    Google Scholar 

  27. Beebe NW, Saul A. Discrimination of all members of the Anopheles punctulatus complex by polymerase chain reaction—restriction fragment length polymorphism analysis. Am J Trop Med Hyg. 1995;53:478–81.

    CAS  PubMed  Google Scholar 

  28. Russell TL, Beebe NW, Bugoro H, Apairamo A, Cooper RD, Lobo NF et al. Dataset for mark-release-recapture experiments detailing the place and time of feeding by Anopheles farauti in Haleta village, Solomon Islands. James Cook University Tropical Data Hub; 2016. doi:10.4225/28/56BD124CC9260.

  29. R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2013.

  30. Taylor B. Changes in the feeding behaviour of a malaria vector, Anopheles farauti Lav., following the use of DDT as a residual spray in houses in the British Solomon Islands Protectorate. Trans R Entomol Soc London. 1975;127:227–92.

    Google Scholar 

  31. Paik Y-H, Avery JG. Problem areas in the malaria eradication programme in the British Solomon Islands. P N G Med J. 1973;17:61–7.

    Google Scholar 

  32. Charlwood JD, Graves PM, Birley MH. Capture-recapture studies with mosquitos of the group of Anopheles punctulatus Dönitz (Diptera, Culicidae) from Papua New Guinea. Bull Entomol Res. 1986;76:211–27. doi:10.1017/S000748530001470X.

    Article  Google Scholar 

  33. Hii JLK. Antimalaria program. WHO assignment report. (WP)MAL/SOL/MAL/001-E. Honiara: WHO Regional Office for the Western Pacific; 1988.

  34. Charlwood JD, Graves PM. The effect of permethrin-impregnated bednets on a population of Anopheles farauti in coastal Papua New Guinea. Med Vet Entomol. 1987;1:319–27.

    Article  CAS  PubMed  Google Scholar 

  35. Govella NJ, Okumu FO, Killeen GF. Insecticide-treated nets can reduce malaria transmission by mosquitoes which feed outdoors. Am J Trop Med Hyg. 2010;82:415–9. doi:10.4269/ajtmh.2010.09-0579.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Chiang GL, Loong KP, Chan ST, Eng KL, Yap HH. Capture-recapture studies with Anopheles maculatus Theobald (Diptera: Culicidae) the vector of malaria in peninsular Malaysia. Southeast Asian J Trop Med Public Health. 1991;22:643–7.

    CAS  PubMed  Google Scholar 

  37. Hii JL. Evidence for the existence of genetic variability in the tendency of Anopheles balabacensis to rest in houses and to bite man. Southeast Asian J Trop Med Public Health. 1985;16:173–82.

    CAS  PubMed  Google Scholar 

  38. Hii JL, Chew M, Sang VY, Munstermann LE, Tan SG, Panyim S, et al. Population genetic analysis of host seeking and resting behaviors in the malaria vector, Anopheles balabacensis (Diptera: Culicidae). J Med Entomol. 1991;28:675–84.

    Article  CAS  PubMed  Google Scholar 

  39. Russell TL, Govella NJ, Azizi S, Drakeley CJ, Kachur SP, Killeen GF. Increased proportions of outdoor feeding among residual malaria vector populations following increased use of insecticide-treated nets in rural Tanzania. Malar J. 2011;10:80. doi:10.1186/1475-2875-10-80.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Moiroux N, Gomez MB, Pennetier C, Elanga E, Djènontin A, Chandre F, et al. Changes in Anopheles funestus biting behavior following universal coverage of long-lasting insecticidal nets in Benin. J Infect Dis. 2012;206:1622–9. doi:10.1093/infdis/jis565.

    Article  CAS  PubMed  Google Scholar 

  41. Sougoufara S, Diedhiou S, Doucoure S, Diagne N, Sembene P, Harry M, et al. Biting by Anopheles funestus in broad daylight after use of long-lasting insecticidal nets: a new challenge to malaria elimination. Malar J. 2014;13:125. doi:10.1186/1475-2875-13-125.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Reddy M, Overgaard H, Abaga S, Reddy V, Caccone A, Kiszewski A, et al. Outdoor host seeking behaviour of Anopheles gambiae mosquitoes following initiation of malaria vector control on Bioko Island, Equatorial Guinea. Malar J. 2011;10:184. doi:10.1186/1475-2875-10-184.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Govella N, Chaki P, Killeen G. Entomological surveillance of behavioural resilience and resistance in residual malaria vector populations. Malar J. 2013;12:124. doi:10.1186/1475-2875-12-124.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Authors’ contributions

TLR supervised the overall field studies and drafted the manuscript. TLR, NFL and TRB contributed to the experimental designs. NWB contributed to molecular analysis. All authors were involved with conducting the field work. All authors read and approved the final manuscript.


This work was supported by Grant No. 45114 from the Bill and Melinda Gates Foundation to the Malaria Transmission Consortium for the work in the Solomon Islands. In addition, the support of the National Institute of Allergy and Infectious Diseases of the National Institutes of Health for the International Center of Excellence in Malaria Research in the Southwest Pacific (subaward to James Cook University; award number U19AI08986) is gratefully acknowledged. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders or the Australian Defence Force and/or extant Defence Force Policy.

Technical assistance when conducting the field collections was provided by John Lodo of the Vector Borne Disease Control Programme, Solomon Islands. The authors thank the community of Haleta for their support as well as the support of Albino Bobogare, Director of National Vector Borne Disease Control Programme, Solomon Islands and James Kazura, Programme Director of the International Center of Excellence in Malaria Research in the Southwest Pacific.

Competing interests

The authors declare that they have no competing interests.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Tanya L. Russell.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Russell, T.L., Beebe, N.W., Bugoro, H. et al. Anopheles farauti is a homogeneous population that blood feeds early and outdoors in the Solomon Islands. Malar J 15, 151 (2016).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: