Skip to main content

Coquillettidia (Culicidae, Diptera) mosquitoes are natural vectors of avian malaria in Africa

Abstract

Background

The mosquito vectors of Plasmodium spp. have largely been overlooked in studies of ecology and evolution of avian malaria and other vertebrates in wildlife.

Methods

Plasmodium DNA from wild-caught Coquillettidia spp. collected from lowland forests in Cameroon was isolated and sequenced using nested PCR. Female Coquillettidia aurites were also dissected and salivary glands were isolated and microscopically examined for the presence of sporozoites.

Results

In total, 33% (85/256) of mosquito pools tested positive for avian Plasmodium spp., harbouring at least eight distinct parasite lineages. Sporozoites of Plasmodium spp. were recorded in salivary glands of C. aurites supporting the PCR data that the parasites complete development in these mosquitoes. Results suggest C. aurites, Coquillettidia pseudoconopas and Coquillettidia metallica as new and important vectors of avian malaria in Africa. All parasite lineages recovered clustered with parasites formerly identified from several bird species and suggest the vectors capability of infecting birds from different families.

Conclusion

Identifying the major vectors of avian Plasmodium spp. will assist in understanding the epizootiology of avian malaria, including differences in this disease distribution between pristine and disturbed landscapes.

Background

Avian malaria parasites of the genus Plasmodium (Haemosporida, Plasmodiidae), are cosmopolitan mosquito-transmitted haematozoa [1, 2]. In contrast to human malaria, avian malaria has a worldwide distribution and is caused by approximately 50 species of Plasmodium [3, 4]. The widespread geographic distribution of avian malaria parasites and their broad range of avian hosts make them excellent models for exploring the ecological and evolutionary dynamics of vector-host-parasite associations.

Although some 50 species of avian Plasmodium have been identified using phenotypic characters [2, 4], molecular data reveal remarkable genetic diversity of these parasites, indicating that the number of avian Plasmodium species and their taxonomic diversity may be greater than is accepted in the current classifications [5]. Avian Plasmodium are transmitted wherever the mosquitoes, susceptible birds and minimum temperature and humidity requirements are available. Many species of avian Plasmodium appear to have evolved with their hosts and do not typically cause lethal disease [6], although there are numerous reported cases of pathology and even high mortalities when naïve birds are exposed for the first time [6–8].

Although general patterns of the epizootiology of avian malaria have been well studied [9–11], little is known about the vectors and the parasites diversity within the vectors, an essential step in the avian malaria transmission cycle. Species within multiple mosquito genera (Culex, Aedes, Culiseta, Anopheles, Mansonia and Aedeomyia) have been implicated in the transmission of different species of avian Plasmodium [2, 12–16]. Despite the presence of numerous ornithophilic species within the genus Coquillettidia only one report was found relating presence of sporozoites of Plasmodium gallinaceum and an unidentified Plasmodium sp. in the salivary glands of Coquillettidia crassipes [17]. Recently, DNA of a Haemoproteus species was isolated from 1/77 Coquillettidia xanthogaster collected in Vanuatu [18]; however, it is unclear if this parasite completes its life cycle in this mosquito.

In this study, the role of Coquillettidia spp. (Diptera, Culicidae) collected in the lowland forests of Cameroon as potential vectors of avian malarial parasites was explored. Coquillettidia is treated as a genus [19–21], rather than a subgenus of Mansonia [22–25]. Worldwide there are 57 described Coquillettidia species [21] with twenty-two from Africa. Coquillettidia spp. adults are medium in size and can easily be confused with Aedes and Culex mosquitoes, but all species (shared only with the genus Mansonia) have the unusual larval behaviour of attaching to air cells of aquatic plants to obtain oxygen for respiration [26]. Immature stages are mostly found in permanent bodies of water and only float to the surface as pupae just prior to eclosion. The integuments of most of the African species are bright yellow or have a yellow to greenish hue, which readily distinguishes them from other African mosquitoes [27]. Only one species, Coquillettidia metallica, has a dark body and legs [25].

During recent surveys of the lowland forests of Cameroon four species from the genus, (Coquillettidia aurites, Coquillettidia pseudoconopas, C. metallica and Coquillettidia maculipennis) were collected. These four species are endemic to Africa with known distributions in West, Central and East Africa [27, 28]. They all are crepuscular [29, 30], rarely bite man or other mammals [31] and prefer birds as hosts [32, 33]. West Nile, Middleberg and Sindbis viruses have been isolated from C. metallica; while Tataguine, Simbu and Usutu viruses, closely related to West Nile and formerly recorded as this pathogen, have been isolated from C. aurites [32, 34]. The viruses associated with C. pseudoconopas are not yet known [25]. Prior to this study, none of these species were implicated as vectors of malaria.

The avifauna of Cameroon is relatively well-studied and prior studies for blood parasites have identified Plasmodium spp. in many of the avian hosts [2, 4, 35–37], but little is known of the vectors.

The objectives of this paper were to: 1) use high throughput molecular genetic screening techniques of wild collected mosquito heads and thoraces to test for the presence of Plasmodium spp., 2) investigate the spatial distribution of the parasite mitochondrial cytochrome b (cyt b) sequence lineages found in Coquillettidia spp., 3) microscopically examine the salivary glands of the wild-caught mosquitoes for presence of sporozoites, which are the last stage of development of malaria parasites in vectors, and 4) compare the distribution and phylogenetic relationships of these lineages to published lineages found in other mosquito vectors and birds in Cameroon. This is the first molecular exploration of avian vector-avian host-malaria parasite relationships in Africa.

Methods

Sampling sites and habitat characterization

Sampling took place from June–August, 2007 and April–May 2008 at 20 sites in the lowland forests of Cameroon (Figure 1). Coquillettidia spp. were only found at four of those sites, Mvia (N03.5105° E010.0176°) Nk'leon (N02.3974° E010.0452°), Ndibi (N 03.774897° E12.201532°), and Nkouak (N03.86735° E013.31634°). The majority (95%) of the total numbers of Coquillettidia mosquitoes were collected in Ndibi and Nkouak. The lowland forests of southern Cameroon have a humid equatorial climate with three dry months characterized by alternating two dry seasons and two wet seasons (the big dry season between mid-November to mid-March, the small wet season from mid March to mid June, the small dry season from mid June to mid August, and the large wet season from mid August to mid November) [38]. The average annual temperature of the region is about 23°C (22.8°C in July to 24.6°C in April) [39].

Figure 1
figure 1

Sampling locations of mosquitoes in the lowland forest areas of Cameroon. Areas where Coquillettidia sp were recorded are indicated by filled triangles.

Sampling was done at Mvia in June 11–13, 2007; Nk'leon in July 28–31, 2007; Ndibi, in August 21–26, 2007 and May 2–16, 2008; and Nkouak in August 27–31 2007 and again in May 17–29 2008. Nkouak is the most forested with the lowest human population density with fewer than 1000 people. The village is surrounded by swamps, which are the sources of the Nyong and Bomba rivers. Nkouak has three major vegetation types: (1) secondary forest immediately surrounding the village where locals have planted cocoa, coffee, some palms and other cash crops (2) mature secondary forest where very little human activity occurs, (3) mature forest, which is quite distant from the village and contain major wild life. Ndibi is characterized by secondary forest in various stages of degradation and seasonally flooded swamp forest (September to December) with floating grass plant communities along either side of the Nyong river [39]. Ndibi has a comparatively higher human population density and is less than 2 km from the city of Akonolinga (pop. 25, 700) across the River Nyong.

Mosquito collections and preparation

Light trapping (mini CDC light traps) effort per site ranged from four to 15 trap nights. No notable changes in the weather occurred during the collection period that might bias comparisons of mosquito abundance.

In 2007, mosquitoes were collected using six Center for Disease Control (CDC) Miniature Light Traps (Figure 2, [40]) baited with CO2 (John W. Hock, Gainesville, FL), following protocols for proper use and assembly provided with the traps. In the 2008 sampling season, a more comprehensive mosquito collection scheme was carried out in Ndibi and Nkouak that included use of six miniature CDC traps, four net traps (Figure 2, [41]), four modified bird baited Ehrenberg lard cans (Figure 2, [42]) and sweep net collections of resting mosquitoes in forest vegetation (Figure 2). To escape the heat and wind, mosquitoes rest in more humid conditions under leaves in shaded thick clumps of vegetation. At the collection sites, the surrounding forest offered many such resting sites. The use of CO2 (John W. Hock, Gainesville, FL) and birds (feral pigeons) as bait in the net traps was alternated. CO2 sachets and birds (confined within a cage) were placed in the middle of the net trap. In 2008 the lights from the CDC traps were switched off in order to reduce damage to mosquitoes (for morphological identification purposes) that would have been caused by thousands of captured moths and other arthropods attracted to light. In order to fully explore microhabitat preference and help broaden the sampling of the mosquito community, traps of each kind were placed along a vegetation gradient from the floating mat community, through the grass sedge meadow and upland forest and plantations to the swamp forest.

Figure 2
figure 2

Mosquito trapping methods used in this study. A – CDC Light trap hung from dead tree in grassland along Nyong River, Ndibi; B – Net trap placed in grassland along Nyong River; C – Collecting mosquitoes resting in grass and on tree branches by sweep net. Mosquitoes were aspirated out from the sweep net and then placed into holding cages for identification and preservation. D – Ehrenberg bird trap hung in branches of dead tree in along edge of Nyong River grassland.

Traps were set out each day for at least 12 h (6.00 pm–06.00 am). Following each trapping period, the collection bags were removed from traps and the mosquitoes immobilized with chloroform and/or smoke within two hours of trap closing. On the same day following the collection and immobilization, mosquitoes were sorted by sex and identified to species with the aid of a stereomicroscope (× 90) and morphological keys [25, 27]. Bird baited and CO2 baited traps collect predominantly blood-seeking females, and in many African mosquitoes, Culicidae closely related species can only be identified by examination of the male genitalia. This was the primary reason an attempt was made to find males in resting vegetation to identify the more cryptic species assuming that the males would give clues to identification of females collected in the baited traps. Sweep net collections were performed for an hour each day (3.00 pm–4.00 pm) in low-lying grasses and shrubs along the edges of foot paths and clearings in the forest floor. Females collected in the sweep nets were also used for Plasmodium spp. DNA isolation.

Collections were made at 20 sites, in the lowland forests of Cameroon, but trapping effort are analyzed for Ndibi and Nkouak only where more than 95% of Coquillettidia spp. were collected. Although resting mosquitoes were also collected, only mosquitoes collected overnight were used to calculate mosquitoes per trap night. For each site, sampling date, trap type and species, whole unfed and recently fed (blood meal still visible) mosquitoes were pooled separately into groups of between three to 20 individuals, and stored in 95% alcohol in the field and later at -20°C in the laboratory until DNA extraction and subsequent testing by PCR. Minimum field infection rates for estimating Plasmodium spp. infection per thousand pooled mosquitoes were calculated using the bias-corrected maximum likelihood estimation (MLE) methodology with 95% confidence skewness-corrected score intervals [43].

Chi-square analysis was applied to compare maximum likelihood infection rates (MLE) for all the Coquillettidia spp. and the number of isolated Plasmodium spp. infections as a function of the number of mosquitoes collected at each site. All statistical analyses were performed using STATA.

DNA extraction, amplification and sequencing

In the laboratory the head and thorax of each mosquito was severed from the abdomens and pooled for DNA extraction. Pools varied in size from 3–20 mosquitoes, and DNA extraction followed modified procedures of Pilchart et al [44] and Ishtiaq et al [18] Briefly, sample pools were homogenized with the aid of heat-sealed pipette tips and 200 ÎŒL of total DNA was extracted using the DNeasy Tissue Kit (Qiagen) following the manufacturer's protocol except for the addition of 30 ml of 100 mg/ml dithiothreitol to the tissue digestion buffer [45]. The primer pairs L1518 and H15730 were used to amplify ~510 bp fragments of cyt b of the parasites. Each PCR cocktail contained 5.0 ÎŒL 10× Qiagen PCR buffer, pH 8.3 (10 mM Tris-CH1, pH 8.3 and 50 mM KC1, 0.01% NP-40), 1.5 mM MgCl2, 5 ÎŒL dNTP mix (10 mmol/L each), 0.3 ÎŒL Taq DNA polymerase (1.25 U/reaction), 2.5 ÎŒL each primer (0.1–0.5 ÎŒmol/L), 1 ÎŒL of 10% BSA buffer [46], 2 ÎŒL template DNA and the remaining volume of ddH2O up to 27.7 ÎŒL. The PCR thermal regime consisted of one cycle of 5 min at 95°C, 44 cycles of 0.5 min at 95°C, 0.5 min at 50°C, 0.45 min at 72°C, and a final cycle of 5 min at 72°C. Each extraction included a negative control (cocktail without the template DNA), which was screened to detect potential contamination, and a positive control. All positive pools were later subjected to nested PCR protocol [47]. In the first PCR reaction, the cyt b gene was amplified using primers HaemNF and HaemNR2 in a 25 ÎŒl volume reaction. For the second PCR, 2 ÎŒl of the first PCR product was used as template in a 25 ÎŒl volume with the primers HaemF and HaemR2, including the same reagents and under the same thermal regime as the first PCR, except that 35 cycles were used instead of 20 cycles.

Additionally, to ensure that the positive results were DNA from sporozoites and not from some undigested parasite infected blood cells that might have persisted in the vector digestive system (as remnants of blood meal), all positive samples were screened for vertebrate DNA using the same thermal regimes for the PCR reaction above, but with primers L14724 and H15149.

Finally, to help ensure that failure to detect a parasite was not due to poor DNA extractions, a fragment (650 bp) of vector COI DNA [48] was also amplified using primers LCO1490 and HCO2198 [49].

Positive or negative amplifications were evaluated as the presence or absence of bands on 1.5% agarose gels. Samples that showed positive amplification were subjected to dye terminator cycle sequencing reactions (30 cycles, 55°C annealing), and sequenced on ABI 3730 Genetic Analyzer (Applied Biosystems) automated sequencers, using Big Dye vs. 3.1. For all these samples, the mitochondrial cyt b gene was sequenced in two overlapping fragments using the same primer pairs described above.

Sequences were assembled with Sequencher 4.7 (Gene Codes Corporation, Ann Arbor, MI), aligned in ClustalX and manually corrected by eye. Because the sequences are from coding genes, alignment was straight-forward. Lastly, sequences were confirmed by BLASTN (basic local alignment search tool) to be most closely related to avian Plasmodium spp. cyt b (identical or nearly identical matches to lineages posted in GenBank). Potentially new and unique sequences were checked by additional sequencing of the fragments. The electropherograms were also checked for double nucleotide peaks to infer possible cases of mixed infections of two or more different parasite lineages. The new sequences have been deposited in the GenBank International Nucleotide Sequence Database (Accession numbers: GQ150187–GQ150196).

Phylogenetic analysis

Phylogenetic analyses were carried out in PAUP* [50]. The compiled data set, excluding pools that showed indications of multiple infections, four additional species, Plasmodium juxtanucleare, Plasmodium relictum, P. gallinaceum and Plasmodium elongatum, all of which are known to be transmitted by other mosquitoes [2, 16, 17, 51] and three outgroup species of positively identified avian haemoproteids, based on the phylogeny in Valkiƫnas et al [4] was used. Additionally, four parasite lineages [36, 52] recorded from numerous avian host species captured within the tropical lowland forests were included. Phylogenetic relationships of the parasite lineages were estimated using MrBayes 3.1 [53]. The most accurate available model of sequence evolution, the GTR + G model was used because this level of complexity is warranted due to the extreme AT bias in Plasmodium mitochondrial genes [54, 55]. The Markov chain was sampled every 200 generations for 10 million generations. Bayesian posterior branch probabilities were obtained by taking the majority rule consensus of the sampled trees, excluding the first 12,500 trees as burnin. Replicate runs of the software, each with one cold and three heated chains, produced essentially identical results. Nodal support for the final tree was assessed using ML100 nonparametric bootstrap replicates each with TBR branch swapping. Additionally, PAUP* was used to estimate mean pairwise distances between the different Plasmodium lineages using the Kimura 2-parameter (K2P) model with uniform substitution rate among sites.

Microscopic examination of salivary glands of mosquitoes

Nine wild-caught female C. aurites collected from Ndibi in February 2009 were dissected and salivary glands were isolated on glass slides using traditional mosquito dissection methods [56]. The head of insects was cut off with a razor and salivary glands were gently pressed out with a slight pressure by a blunt needle on the thorax near the base of the fore-legs. The glands were placed in a small drop of phosphate buffered saline, ruptured by a gentle pressure of a needle, and mixed with a minute drop of the saline to produce a thin film. The preparations were air-dried and fixed in absolute methanol in the field, and then stained with Giemsa in the laboratory, as described by Valkiƫnas [2].

An Olympus BX61 light microscope equipped with Olympus DP70 digital camera and imaging software AnalySIS FIVE was used to examine slides, prepare illustrations and to take measurements. Entire films were examined at low magnification (× 400) and recorded sporozoites were studied at high magnification (× 1,000).

Representative preparations of sporozoites (accession numbers 47721, 47722 NS) have been deposited in the collection of the Institute of Ecology, Vilnius University, Vilnius, Lithuania.

Results

Mosquito collection

In 2007 and 2008, 10,631 mosquitoes of at least 24 species were collected in Ndibi and Nkouak. Species of Coquillettidia accounted for 17% of the total mosquitoes collected (1,802/10,631) with over 76% captured with CDC light traps alone (Table 1). Coquillettidia aurites was by far the most common of the Coquillettidia species collected, comprising 71% of the species collected in Nkouak and only 9% of the total collected in Ndibi. Coquillettidia metallica accounted for 1.2% of the total, collected mostly in Ndibi and only a single blood fed individual was captured in Nkouak. C. pseudoconopas was captured in Nkouak, Mvia and Nk'leon and accounted for 15% of the total species collected (Table 1). Only one individual of C. maculipennis was captured in Ndibi during the entire season, so this species has been excluded from all the analyses. Relative population densities (light trap counts per trap night), for C. aurites, calculated for each site showed that Nkouak had a significantly higher number than Ndibi. The spatial geographic distribution of the Coquillettidia spp. mosquitoes as a function of habitat use is shown in Figure 3. Although no significant associations were demonstrated between the number of Plasmodium spp. isolations made from mosquitoes and any of the four microhabitats that were analyzed, most species showed (except for C. metallica that was mostly captured in open habitats) a strong preference for swamp forest/upland forest and plantations than more open habitats.

Figure 3
figure 3

Habitat preferences for Coquillettidia aurites. Overall, there was a significant preference for shaded areas (p = 0.04). No C. pseudoconopas was collected in Ndibi and Plasmodium DNA isolations were not associated with any of the four microhabitats. Collections from the other sites represent less than 5% of the total and are not included in the analysis.

Table 1 Number of female Coquillettidia mosquitoes collected versus the four collecting modes in the two main sites, Ndibi and Nkouak

Mosquito morphological considerations

Variation in dark apical scaling of sternites was found among female and male C. aurites with some having no dark scales, others with smattering of scales and in others dark scales formed complete apical bands. Males were collected resting in lower forest vegetation and their genitalia confirmed they were all C. aurites although the membranous expansion of gonostylus was not quite as large as that depicted in Service [25]. Images of male genitalia and other morphological features of mosquitoes are deposited in [57].

Variation in malaria prevalence among Coquillettidia species

The number of positive pools in the three species is presented in Table 2. No vertebrate DNA was found in any of the pools, which shows that only DNA of Plasmodium spp. sporozoites (but not of blood stages of the parasites) was amplified. Of the 256 (1285 individuals total) pools screened for Plasmodium spp., 85 (33%) were positive for parasites, yielding a maximum likelihood estimates (MLE) of Plasmodium infections of 112.22/1,000 for C. metallica, 84.04/1,000 for C. aurites and 35.4/1,000 for C. pseudoconopas. Within the two sites however, C. aurites showed a significantly higher MLE in Ndibi than in Nkouak (Ndibi = 116.46/1000; Nkouak = 66.76/1000; χ2 = 13.49, p < 0.001), although Nkouak had a higher density of C. aurites (Figure 4). Average mosquito densities within the sites ranged from 39.8 mosquito/trap-night in Ndibi to 115 mosquito/trap-night in Nkouak, whereas the average proportion of corresponding Plasmodium isolations ranged from 45.12% in Ndibi to 28.99% in Nkouak.

Table 2 Proportion of vectors pools that were screened by PCR for malaria parasites by species.
Figure 4
figure 4

Proportion of infected pools of the eight Plasmodium lineages of Coquillettidia sppin Ndibi and Nkouak. Because sites sampled are more than 100 km apart, populations are considered independent. * indicates significant differences in proportion of infected pools between both habitats. Lineages PV11 and PV12 were the most common while the others were relatively rare.

Distribution of Plasmodium spp. lineages among Coquillettidia spp

Parasite lineages based on 750 nucleotides of cyt b sequence were distinguished after checking carefully against the original chromatograms from the sequencing gel. Parasite sequences differing by only a single nucleotide were considered the same phylogenetic species, while numbered lineages differing by more than one nucleotide substitutions, or at least 0.2% genetic distance were considered separate phylogenetic species. At least eight lineages of Plasmodium spp. were found from the positive pools. Two of them were already known lineages (PV11 and PV12) [36] and six were new lineages that were named by assigning a number in sequential order (PlasCoq1- PlasCoq6). The 8 lineages differed from one another by 0.2 and 15.8% sequence divergence. Some of these are small genetic distances, and likely represent intraspecies divergence of avian Plasmodium [4] although in some cases they are well beyond distances corresponding to good species [5]. Cytochrome b sequence divergence as low as 1.0% [58] has been observed between named species of malaria parasites of mammals, although biological 'species' boundaries of avian malarial parasite lineages have not been clearly defined. Of the eight Plasmodium lineages found in this genus, C. aurites harboured seven lineages; C. metallica at least two (including an additional co- infection which was not included in the analysis) and C. pseudoconopas harboured one. The most common lineages (PV11 and PV12) were found to be unevenly distributed in both regions (Figure 4) and represent more than 88% of the lineages recovered from these mosquitoes. The other lineages were found in very few mosquitoes in both locations (Figure 4). Lineage PlasCoq6 is widely divergent from the other lineages, and was only recorded once in a pool sampled from Ndibi. These rare lineages were re-sampled.

Microscopic examination of salivary glands of mosquitoes

Sporozoites were observed in salivary glands of two mosquitoes. Up to three sporozoites were observed in each positive salivary gland smear. They were of elongated shape typical for haemosporidian parasites, with nuclei located approximately at the center (Figure 5). Non-deformed sporozoites (n = 3) averaged 9.9 ÎŒm in length and 0.9 ÎŒm in width.

Figure 5
figure 5

Giemsa-stained sporozoite of Plasmodium spp. from the salivary glands of Coquillettidia aurites. Note a prominent centrally located nucleus. (Scale bar = 5 ÎŒm).

Distribution of lineages among avian hosts

Identical lineages identified based on sequence similarity as posted on GenBank were found in parasites isolated from birds belonging to different families of the Passeriformes and non Passeriformes by Blastn search. PV11 [36] is an identical match to WA15 [52], while PV12 [36] is identical to lineages WA9 and P46 [3, 52]. Over 35 species of birds from 11 families have been shown to be infected with these lineages. The other lineages were relatively rare and together comprised less than 12% of the total parasite load in Coquillettidia spp. Lineages PlasCoq2 and PlasCoq5 however showed a close relationship to PV11 (Figure 6). In general, the parasites obtained from Coquillettidia spp. consisted of closely related lineages also found in birds of different families and these lineages do not appear to be shared with lineages found in other mosquito species so far (Figure 6). While further sampling will be necessary, it is possible that these parasites are only transmitted by Coquillettidia spp.

Figure 6
figure 6

Bayesian phylogeny of the 8 lineages of Plasmodium mitochondrial cytochrome b gene obtained from Coquillettidia species, 4 lineages from published sequences of avian Plasmodium and three lineages of Haemoproteus spp. as outgroups. Names of the lineages and GenBank accession numbers of the sequences are given after the species names of parasites. Bayesian support are indicated above the branches while ML Bootstrap support, based on 100 replications are shown below the branches. The vector species in which the parasites were found (including parasites already known) is indicated under 'Vector Species.'

Variation in parasite prevalence with respect to vector abundance

The likelihood estimates of infection rate (MLE) was examined as a function of the sample size of vectors by asking whether less common species had different infection prevalence than more common species, assuming that species were captured in CDC traps in proportion to their relative abundance. Interestingly, the least and most abundantly sampled species, C. metallica and C. aurites respectively, had the highest maximum likelihood estimates of infection rates (Table 2). Because only few C. metallica were collected, it was not possible to determine if these high estimates of the likelihood infection rates truly reflect the infection rates in nature. More sampling is warranted to confirm this.

Phylogenetic analysis and distribution of Plasmodium spp. cytochrome b lineages in Coquillettidia spp

Figure 6 summarizes the most important phylogenetic results of this study. Of the 85 pools infected with Plasmodium spp., 81 yielded sequence data of sufficient length to be included in the phylogenetic analysis. The remaining cases (n = 4), showed indications of multiple infections as revealed by double peaks in the chromatogram, and were not included in the analyses. However, some double peaks were easily discernable for parasites lineages PV11 and PV12. All parasites were designated as avian Plasmodium spp. by phylogenetic affinity to published avian Plasmodium spp. cyt b sequences. Support for the nodes, judged by the bootstrap analysis is strong. Examination of the tree revealed no reciprocal monophyly of the Plasmodium spp. lineages detected in Coquillettidia spp., but they clustered together as separate clades with lineages recovered from other culicine species nested within the tree. Known avian parasites, P. relictum and P. elongatum, both of which are transmitted by other vector s pecies [16, 51] tend to show close affinity to lineage PV12. P. juxtanucleare was most closely related to lineages PlasCoq3 and PlasCoq4. Lineage PlasCoq6 was very rare and was only found once, and this lineage is basal to the tree and equally distant to Plasmodium and Haemoproteus.

Discussion

Dissection of the midguts and salivary glands of mosquitoes, with subsequent microscopic examination of preparations of ookinetes, oocysts and sporozoites, have traditionally been used for the detection of malaria parasites in vectors [56, 59–61]. These techniques, although sensitive, are laborious, and demand fresh material. The PCR procedure is sensitive enough to detect as few as 10 sporozoites in salivary glands and presence of a single oocyst is easily identified by simple agarose gel analysis [18], so this is a promising method for investigation of avian malaria vectors.

Mosquitoes utilize a number of cues to first locate, and then accept or reject a potential host [62, 63]. A general cue like CO2 may elicit host-seeking behaviour in a wide-range of host specific mosquito species like Coquillettidia spp. regardless of the source. However, when a mosquito locates a potential host through long-range broad-based cues, another set of highly specific short-range cues ultimately lead to host acceptance or rejection. These results show that CO2 was an effective cue for attracting Coquillettidia spp.

These results also show that the avian Plasmodium parasites can be consistently isolated from wild caught Coquillettidia spp. mosquitoes confirming some Coquillettidia species as newly recognized major vectors for avian malaria assuming these mosquitoes are susceptible at least to some of the detected Plasmodium spp. lineages. Because 1) sporozoites were detected in salivary glands of Coquillettidia spp., and 2) only Plasmodium spp. complete sporogony in mosquitoes [2], it is unlikely that the sporozoites recorded in salivary gland (Figure 5) might belong to haemosporidian parasites belonging to other genera. The size of the sporozoites coincides with the size of sporozoites of Plasmodium (Novyella) rouxi, a widespread malaria parasite of passeriform birds [56]. To prove that viable sporozoites develop in Coquillettidia spp., experimental infections of susceptible avian hosts are needed. Interestingly, all the parasite lineages recovered from Coquillettidia spp. clustered with parasites identified from several bird species suggesting the vector's potential of feeding on and infecting birds belonging to different families. These results therefore implicitly confirm the mostly ornithophilic behaviour of these mosquitoes, and provide a genetic link between the infected birds and the mosquito vector, thus defining a complete transmission cycle. A more conclusive statement to determine mosquito-feeding specificity could be done by determining vertebrate DNA in fed mosquitoes. The present study thus provides clear directions for further experimental research on vectors of avian malaria in Africa.

Vector-parasite-avian host association

This study found that over 90% of the pools of Coquillettidia spp. that were positive consistently harboured certain parasite lineages, which were closely associated to lineages isolated from different bird host groups. All the positive pools were screened for vertebrate DNA to confirm that none had contaminant bird DNA, and the absence of vertebrate DNA from all pools suggests that Plasmodium spp. lineages were isolated from sporozoites rather than amplified from blood stages of the parasites. At least one previous study has suggested that Coquillettidia crassipes is a natural vector of P. gallinaceum and another unidentified Plasmodium sp. in Ceylon [17].

Recently, several new species and lineages of malaria parasites of the subgenus Novyella have been described from African birds, Cyanomitra olivaceae and Andropadus latirostris from the same study sites where Coquillettidia spp. were collected [4, 37]. Interestingly, lineages of these parasites were not found in Coquillettidia spp. It is thus probable that these lineages may not be transmitted by Coquillettidia spp., but that Coquillettidia spp. may be important vectors of eight other Plasmodium spp. lineages described in the present study. Species identities of these lineages remain unknown. It is not unprecedented for a malaria parasite lineage to be restricted to infecting limited species within just one mosquito genus (but see ValkiĆ«nas [2] for avian malaria). For instance, five species of anopheline mosquitoes serve as the major vectors for P. falciparum in continental sub-Saharan Africa, and all five species belong to the subgenus Cellia [64–68]. Such strict vector specificity may however, not hold true for avian malaria since these bird parasites are very diverse. In avian malarial systems, the vectors of Plasmodium forresteri, P. elongatum, P. juxtanucleare, P. gallinaceum, and Plasmodium kempi do not belong to same genus [16, 51, 69]. If avian Plasmodium spp. lineages seem to a large extend to be host-generalists [5, 59, 70–72], one would expect expansion of parasites to occur freely if the appropriate vectors are present.

Plasmodium spp. prevalence and diversity

At least eight Plasmodium spp. lineages were found in this study, with two of the lineages, PV11 and PV12 being the most common, occurring in over 88% of the positive pools screened. The reason for the existence of multiple distinct Plasmodium lineages found in mosquitoes of the genus Coquillettidia (seven of which are found in C. aurites alone) is not known, but may provide a plausible explanation for the co-occurrence of two or more parasite lineages in the same vertebrate host [36] and clarify the contrasting views of Oaks et al [64] and Gager et al [73]. The former purported that multiple parasite species that share a vertebrate host could be transmitted by the same mosquitoes genera or species, while the latter's explanation for co-occurrence of congeneric malarial parasites in an avian host to transmission by mosquitoes of different genera. Further work with multiple independent markers from different parts of the Plasmodium spp. genome should be carried out to clarify species limits.

The genetic distance between recorded lineages ranged between 0.2% and 17.4%. Because genetic differences between lineages PV11, PlasCoq2 and PasCoq5 are small (Figure 6), it is possible that these three lineages represent genetic variations of the same species, as has been shown to be the case with numerous lineages of avian P. relictum and several avian Haemoproteus spp. [4, 37]. Lineages with genetic distances of <5% in cytochrome b gene has been shown to be a measure representing intraspecific variation in avian Plasmodium spp, although there are exceptions to this rule [4]. Thus, the molecular criterion of > 5% sequence divergence in cytochrome b gene for identification of haemosporidian species should be applied only through the careful linkage of molecular and microscopical data. Some of the genetic distances observed in this study are within this range, and higher than the average pairwise distances between Plasmodium cytochrome b sequences from many other avian malaria studies [74], as well as the average cytochrome b distance among three most closely related human malarial parasites that are known to be different species, i.e. Plasmodium vivax, Plasmodium malariae and Plasmodium ovale [58].

Conclusion

This study strongly suggests that Coquillettidia spp. are vectors of avian malaria in African rainforests. Six previously unknown lineages of avian Plasmodium parasites were uncovered, and high numbers of Plasmodium lineages in a single vector species were detected; that includes the previously unknown lineages and two known lineages PV11 and PV12. The high diversity of Plasmodium parasites in Coquillettidia spp. is unprecedented among ornithophilic mosquitoes. Whether this diversity is due to their abundance in areas where they occur, their competitive or immuno-competent abilities, or a combination of these and other factors remains to be understood. Any link between these factors and the success of Coquillettidia spp. in anthropogenic landscapes would be greatly informative to effective vector control and avian malaria epidemiology studies.

References

  1. Bennett GF, Peirce MA, Earl RA: Anannotated checklist of the valid avian species of Haemoproteus, Leucocytozoon (Apicomplexa, Haemosporida) and Hepatozoon (Apicomplexa, Haemogregarinidae). Syst Parasitol. 1994, 29: 61-73.

    Article  Google Scholar 

  2. Valkiƫnas G: Avian Malarial Parasites and Other Haemosporidia. 2005, Taylor and Francis Publishing, London

    Google Scholar 

  3. Beadell JS, Ishtiaq F, Covas R, Melo M, Warren BH, Atkinson CT, Bensch S, Graves GR, Jhala YV, Peirce MA, Rahmani AR, Fonseca DM, Fleischer RC: Global phylogeographic limits of Hawaii's avian malaria. Proc R Soc Lond B Biol Sci. 2006, 273: 2935-2944. 10.1098/rspb.2006.3671.

    Article  Google Scholar 

  4. Valkiƫnas G, Iezhova TA, Loiseau C, Chasar A, Smith TB, Sehgal RNM: New species of haemosporidian parasites (Haemosporida) from African rainforest birds, with remarks on their classification. Parasitol Res. 2008, 103: 1213-1228. 10.1007/s00436-008-1118-x.

    Article  PubMed  Google Scholar 

  5. Bensch S, Perez-Tris J, Waldenstrom J, Hellgren O: Linkage between nuclear and mitochondrial DNA sequences in avian malaria parasites: multiple cases of cryptic speciation?. Evolution. 2004, 58: 1617-1621.

    Article  CAS  PubMed  Google Scholar 

  6. Palinauskas V, Valkiƫnas G, Bolshakov CV, Bensch S: Plasmodium relictum (lineage P-SGS1): Effects on experimentally infected passerine birds. Exp Parasitol. 2008, 120: 372-380. 10.1016/j.exppara.2008.09.001.

    Article  PubMed  Google Scholar 

  7. Van Riper C, Van Riper SG, Goff ML, Laird M: The epizootiology and ecological significance of malaria in Hawaiian land birds. Ecol Monogr. 1986, 56: 327-344. 10.2307/1942550.

    Article  Google Scholar 

  8. Richner H, Christe P, Oppliger A: Paternal investment affects prevalence of malaria. Proc Natl Acad Sci USA. 1995, 92: 1192-1194. 10.1073/pnas.92.4.1192.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  9. Beier JC, Perkins PV, Wirtz RA: Blood meal identification by direct enzyme-linked immunosorbent assay (ELISA), tested on Anopheles (Diptera: Culicidae) in Kenya. J Med Entomol. 1988, 25: 9-16.

    Article  CAS  PubMed  Google Scholar 

  10. McConkey GA, Li J, Rogers MJ, Seeley DC, Graczyk TK, Cranfield MR, McCutchan TF: Surveillance of mosquitoes for the malaria parasite responsible for mortality in captive penguins. J Eucar Microbiol. 1996, 43: 393-399. 10.1111/j.1550-7408.1996.tb05049.x.

    CAS  Google Scholar 

  11. Atkinson CT, Dusek RJ, Lease JK: Serological responses and immunity to superinfection with avian malaria in experimentally infected Hawaii Amakihi. J Wildl Dis. 2001, 37: 20-27.

    Article  CAS  PubMed  Google Scholar 

  12. Atkinson CT, Van Riper C: Pathogenecity and epizootiology of avian haematozoa: Plasmodium, Leucocytozoon, and Haemoproteus. Bird-parasite interactions. Ecology, evolution, and behavior. Edited by: Loye JE, Zuk M. 1991, Oxford Univ. Press, New York, 19-48.

    Google Scholar 

  13. Bequaert JC: The Hippoboscidae or louse-flies (Diptera) of mammals and birds. Part II. Taxonomy, evolution and revision of American genera and species. Entomol Am. 1954, 34: 1-232.

    Google Scholar 

  14. Forrester DJ, Nayar JK, Foster GW: Culex nigripalpus: A natural vector of wild turkey malaria (Plasmodium hermani) in Florida. J Wildl Dis. 1980, 16: 391-394.

    Article  CAS  PubMed  Google Scholar 

  15. Gabaldon AU, Ulloa G, Pulido J: Distribucion geografica, ecologia y etologia de Aedeomyia squamipennis, importante vector natural de malaria aviaria en Venezuela. Bol Dir Malar S Ambien. 1981, 21: 103-113.

    Google Scholar 

  16. Niles WJ, Fernando MA, Dissanaike AS: Mansonia crassipes as the natural vector of filarioids, Plasmodium gallinaceum and other plasmodia of fowls in Ceylon. Nature. 1965, 205: 411-412. 10.1038/205411a0.

    Article  CAS  PubMed  Google Scholar 

  17. Telford SR, Nayar JK, Foster GW, Knight JW: Plasmodium forresteri n.sp., from raptors in Florida and southern Georgia: Its distinction from Plasmodium elongatum morphologically within and among host species and by vector susceptibility. J Parasitol. 1997, 83: 932-937. 10.2307/3284292.

    Article  PubMed  Google Scholar 

  18. Ishtiaq F, Guillaumot L, Clegg SM, Phillimore AB, Black RA, Owens IPF, Mundy NI, Sheldon BC: Avian haematozoan parasites and their associations with mosquitoes across Southwest Pacific Islands. Mol Ecol. 2008, 17: 4545-4555. 10.1111/j.1365-294X.2008.03935.x.

    Article  CAS  PubMed  Google Scholar 

  19. Ronderos RA, Bachman A: A proposito de1 complejo Mansonia (Diptera-Culicidae). Rev. Sot, Ent, Argentina. 1963, 25: 45-51.

    Google Scholar 

  20. Knight KL, Stone A: A catalog of the Mosquitoes of the World (Diptera, Culicidae). Thomas Say Foundation. 1977, 6: 1-610. Second

    Google Scholar 

  21. Walter Reed Biosystematics Unit. [http://www.mosquitocatalog.org/]

  22. Stone A, Knight KL, Starcke H: A synoptic catalogue of the mosquitoes of the world. Thomas Say Found. 1959, 6: 358-

    Google Scholar 

  23. Matingly TF: Contributions of the American Entomological Institute: contributions to the mosquito fauna of Southeast Asia. XII. Illustrated keys to the genera of mosquitoes (Diptera, Culicidae). Contrib Am Entomol Inst (Ann Arbor). 1971, 7: 41-84.

    Google Scholar 

  24. White GB: Studies on the transmission of Bancroftian filariasis in north-eastern Tanzania. Trans R Soc Trop Med Hyg. 1971, 65: 819-829. 10.1016/0035-9203(71)90098-8.

    Article  CAS  PubMed  Google Scholar 

  25. Service MW: Handbook to the Afrotropical toxorhynchitine and culicine mosquitoes, excepting Aedes and Culex. 1990, British Museum (Natural History) London

    Google Scholar 

  26. Belkin JN: The mosquitoes of the South Pacific (Diptera, Culicidae). 1962, University of California Press, Berkeley and Los Angeles, 2: 608 and 412 pp

    Google Scholar 

  27. Edwards FW: Mosquitoes of the Ethiopian Region. III. Culicine Adults and Pupae. Brit Mus (Nat Hist), London. 1941, 499-

    Google Scholar 

  28. Bisby FA, Roskov YR, Ruggiero MA, Orrell TM, Paglinawan LE, Brewer PW, Bailly N, van Hertum J: Species 2000 & ITIS Catalogue of Life: 2007 Annual Checklist Species 2000. Reading, U.K. 2007

    Google Scholar 

  29. Haddow AJ: Twenty-four-hour catches on a tower with man as bait, East African Virus Research Institute Report, July, 1962–June 1963. 63pp Nairobi. 1964, 42-46.

    Google Scholar 

  30. Haddow AJ, Ssenkubuge Y: Entomological studies from a steel tower in Zika forest, Uganda. Part 1. The biting activity of mosquitoes and tabanids as shown by twenty-four-hour catches. Trans R Entomol Soc Lond. 1965, 117: 215-243.

    Article  Google Scholar 

  31. Boorman JPT: Annual Report of the West African Council for Medical Research, Lagos. 1957

    Google Scholar 

  32. Williams MC, Simpson DIH, Haddow AJ, Knight EM: The isolation of West Nile virus from man and Usutu virus from bird-biting mosquito Mansonia aurites (Theobald) in the Entebbe area of Uganda. Ann Trop Med Parasitol. 1964, 58: 367-374.

    CAS  PubMed  Google Scholar 

  33. McClelland GAH, Weitz B: Further observations on the natural hosts of three species of Mansonia Blanchard (Diptera, Culicidae) in Uganda. Ann Trop Med Parasitol. 1960, 54: 300-304.

    CAS  PubMed  Google Scholar 

  34. Rickenbach A, Le Gonidec G, Ravisse P: L'incidence des arbovirus isolés des moustiques dans une région forestiÚre du sud Cameroun, la region de Yaoundé. Bull Soc de Pathol Exot. 1976, 69: 372-381.

    CAS  Google Scholar 

  35. Sehgal RNM, Jones HI, Smith TB: Blood parasites of some West African rainforest birds. J Vet Med Sci. 2005, 67: 295-301. 10.1292/jvms.67.295.

    Article  PubMed  Google Scholar 

  36. Bonnead C, Sepil I, Mila B, Buermann W, Pollinger J, Sehgal RNM, Valkiƫnas G, Iezhova TA, Saatchi S, Smith TB: The prevalence of avian Plasmodium is higher in undisturbed tropical forests of Cameroon. J Trop Ecol. 2009, 25: 1-9. 10.1017/S0266467408005646.

    Article  Google Scholar 

  37. Valkiƫnas G, Iezhova TA, Loiseau C, Smith TB, Sehgal RN: New malaria parasites of the subgenus Novyella in African rainforest birds, with remarks on their high prevalence, classification and diagnostics. Parasitol Res. 2009, 104: 1061-77. 10.1007/s00436-008-1289-5.

    Article  PubMed  Google Scholar 

  38. Hijmans RJ, Susan A, Cameron E, Juan AB, Parra I, Peter A, Jones G, Jarvis CD: Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005, 25: 1965-1978. 10.1002/joc.1276.

    Article  Google Scholar 

  39. Smith TB: Resource use by bill morphs of an African Finch: Evidence for Intraspecific Competition. Ecology. 1990, 71: 1246-1257. 10.2307/1938261.

    Article  Google Scholar 

  40. Sudia WD, Chamberlain RW: Battery operated light trap, an improved model. Mosq News. 1962, 22: 126-129.

    Google Scholar 

  41. Jupp PG, McIntosh BM: Ecological studies on Sindbis and West Nile viruses in South Africa. II. Mosquito bionomics. S Afr J Med Sci. 1967, 32: 15-33.

    CAS  PubMed  Google Scholar 

  42. Downing JD, Crans WJ: The Ehrenburg pigeon trap as a sampler of Culex mosquitoes for St. Louis encephalitis surveillance. Mosq News. 1977, 37: 48-53.

    Google Scholar 

  43. Biggerstaff BJ: PooledInf Rate: a Microsoft Excel Add-In to compute prevalence estimates from pooled samples. 2006, Fort Collins (CO): Centers for Disease Control and Prevention

    Google Scholar 

  44. Pilchart C, Sechan Y, Davies N, Legrand A: PCR and dissection as tools to monitor filarial infection of Aedes polynesiensis mosquitoes in French Polynesia. Filaria J. 2006, 5: 1475-2883.

    Google Scholar 

  45. Cooper A: DNA from museum specimens. Ancient DNA, Recovery and Analysis of Genetic Material from Paleontological, Archaeological, Museum, Medical and Forensic Specimens. Edited by: Herrmann B, Herrmann S. 1994, Springer, New York, 149-165.

    Google Scholar 

  46. Kreader CA: Relief of amplification inhibition in PCR with bovine serum albumin or T4 gene 32 protein. Appl Environ Microbiol. 1996, 1102-1106.

    Google Scholar 

  47. Waldenström J, Bensch S, Hasselquist D, Ostman O: A new nested polymerase chain reaction method very efficient in detecting Plasmodium and Haemoproteus infections from avian blood. J Parasitol. 2004, 90: 191-194. 10.1645/GE-3221RN.

    Article  PubMed  Google Scholar 

  48. Cywinska A, Hunter FF, Hebert PDN: Identifying Canadian mosquito species through DNA barcodes. Med Vet Entomol. 2006, 20: 413-424. 10.1111/j.1365-2915.2006.00653.x.

    Article  CAS  PubMed  Google Scholar 

  49. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R: DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Bio Biotechnol. 1994, 3: 294-299.

    CAS  Google Scholar 

  50. Swofford DL: PAUP*: Phylogenetic Analysis Using Parsimony (*and other Methods). Version 4. 2002, Sinauer Associates, Sunderland, Massachusetts

    Google Scholar 

  51. Christensen BM, Barnes HJ, Rowley WA: Vertebrate host specificity and experimental vectors of Plasmodium (Novyella) kempi sp. n. from the eastern wild turkey in Iowa. J Wildl Dis. 1983, 19: 204-213.

    Article  CAS  PubMed  Google Scholar 

  52. Beadell JS, Covas R, Gebhard C, Ishtiaq F, Melo M, Schmidt BK, Perkins SL, Graves GR, Fleischer RC: Host associations and evolutionary relationships of avian blood parasites from West Africa. Intl J Parasitol. 2009, 39: 257-266. 10.1016/j.ijpara.2008.06.005.

    Article  Google Scholar 

  53. Huelsenbeck JP, Ronquist F: MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001, 17: 754-755. 10.1093/bioinformatics/17.8.754.

    Article  CAS  PubMed  Google Scholar 

  54. Bahl A, Brunk B, Crabtree J, Fraunholz JM, Gajria B, Grant GR, Ginsburg H, Gupta D, Kissinger JC, Labo P, Li L, Mailman MD, Milgram AJ, Pearson DS, Roos DS, Schug J, Stoeckert CJ, Whetzel P: PlasmoDB: the Plasmodium genome resource. A database integrating experimental and computational data. Nucleic Acids Res. 2003, 31: 212-215. 10.1093/nar/gkg081.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  55. Perkins SL, Schall JJ: A molecular phylogeny of malaria parasites recovered from cytochrome b gene sequences. J Parasitol. 2002, 88: 972-978.

    Article  CAS  PubMed  Google Scholar 

  56. Garnham PCC: Malaria parasites and other Haemosporidia. 1966, Blackwell, Oxford, U.K, 114-

    Google Scholar 

  57. Morphological features of mosquitoes, UC Davis. [http://cornel.uckac.edu/photo_gallery.htm]

  58. Escalante AA, Freeland DE, Collins WE, Lal AA: The evolution of primate malaria parasites based on the gene encoding cytochrome b from the linear mitochondrial genome. Proc Nat Acad Sci USA. 1998, 95: 8124-29. 10.1073/pnas.95.14.8124.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  59. Beadell JS, Gering E, Austin J, Dumbacher JP, Peirce MA, Pratt TK, Atkinson CT, Fleischer RC: Prevalence and differential host-specificity of two avian blood parasite genera in the Australo-Papuan region. Mol Ecol. 2004, 13: 3829-2844. 10.1111/j.1365-294X.2004.02363.x.

    Article  PubMed  Google Scholar 

  60. Shute P, Maryon M: Laboratory technique for the study of malaria. 1966, London: J and A Churchill Ltd. C. P. A, 26-28. 2

    Google Scholar 

  61. Strome P, DeSantis L, Leef JL, Beaudoin RL: A convenient technique for the dissection of mosquito salivary glands. Methods Cell Sci. 1980, 6: 9-11.

    Google Scholar 

  62. Sutcliffe JF: Black fly host location: a review. Can J Zool. 1986, 64: 1041-1053. 10.1139/z86-156.

    Article  Google Scholar 

  63. DeJong R, Knols BGJ: Olfactory responses of host-seeking An gambiae s.s. Giles (Diptera: Culicidae). Acta Trop. 1995, 59: 333-335. 10.1016/0001-706X(95)00090-2.

    Article  CAS  Google Scholar 

  64. Oaks SC, Mitchell VS, Pearson GW, Carpenter CCJ: Malaria: Obstacles and Opportunities. 1991, A report of the Institute of Medicine. National Academy Press, Washington, DC

    Google Scholar 

  65. Donnelly MJ, Simard F, Lehmann T: Evolutionary studies of malaria vectors. Trends Parasitol. 2002, 18: 75-80. 10.1016/S1471-4922(01)02198-5.

    Article  PubMed  Google Scholar 

  66. Krzywinski J, Besansky NJ: Molecular systematics of Anopheles: from subgenera to subpopulations. Annu Rev Entomol. 2003, 48: 111-139. 10.1146/annurev.ento.48.091801.112647.

    Article  CAS  PubMed  Google Scholar 

  67. Fontenille D, Simard F: Unraveling complexities in human malaria transmission dynamics in Africa through a comprehensive knowledge of vector populations. Comp Immunol Microbial. 2004, 27: 357-375. 10.1016/j.cimid.2004.03.005.

    Article  Google Scholar 

  68. Harbach RE: The classification of genus Anopheles (Diptera: Culicidae): a working hypothesis of phylogenetic relationships. Bull Entomol Res. 2004, 94: 537-553. 10.1079/BER2004321.

    Article  CAS  PubMed  Google Scholar 

  69. Morlais I, Mori A, Schneider JR, Severson DW: A targeted approach to the identification of candidate genes determining susceptibility to Plasmodium gallinaceum in Aedes aegypti. Mol Gen Genomics. 2003, 269: 753-764. 10.1007/s00438-003-0882-7.

    Article  CAS  Google Scholar 

  70. Ricklefs RE, Fallon SM: Diversification and host switching in avian malaria parasites. Proc R Soc Lond B Biol Sci. 2002, 269: 885-892. 10.1098/rspb.2001.1940.

    Article  Google Scholar 

  71. Ricklefs RE, Fallon SM, Bermingham E: Evolutionary relationships, cospeciation, and host switching in avian malaria parasites. Syst Biol. 2004, 53: 111-119. 10.1080/10635150490264987.

    Article  PubMed  Google Scholar 

  72. Iezhova TA, Valkiƫnas G, Barlein F: Vertebrate host specificity of two avian malaria parasites of subgenus Novyella: Plasmodium nucleophilum and Plasmodium vaughani. J Parasitol. 2005, 91: 472-474. 10.1645/GE-3377RN.

    Article  PubMed  Google Scholar 

  73. Gager AG, Loaiza JDR, Dearborn DC, Bermingham E: Do mosquitoes filter the access of Plasmodium cytochrome b lineages to an avian host?. Mol Ecol. 2008, 17: 2552-2561. 10.1111/j.1365-294X.2008.03764.x.

    Article  CAS  PubMed  Google Scholar 

  74. Ricklefs RE, Swanson BL, Fallon SM: Community relationships of avian malaria parasites in southern Missouri. Ecol Monogr. 2005, 75: 543-559. 10.1890/04-1820.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful to Tanga Mbi and Dr Samuel Wanji for assistance in the field; Tatjana A. Iezhova for assistance in microscopic examination of salivary glands of mosquitoes, Tyffany Chen for assistance with PCR techniques. We thank the Government of Cameroon for providing permits for field research. The present study was supported by the joint NSF-NIH Ecology of Infectious Diseases Program award EF-0430146, the Rufford Small Grants for Nature Conservation and by the Lithuanian State Science and Studies Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kevin Y Njabo.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

KYN designed the study, collected the field samples, performed nested PCR and Sequencing reactions, the statistical analysis and drafted the manuscript. AJC collected the field samples, did morphological identifications of specimens and helped in data analysis. RNMS and CL participated in the design of the study, and helped with nested PCR and data analysis. RJH, WB and JP participated in the design of the study and helped in data analysis. GV identified the sporozoites from the salivary glands and helped in data analysis. TBS conceived of the study, participated in its design and coordination and helped in writing the manuscript. All authors have read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Njabo, K.Y., Cornel, A.J., Sehgal, R.N. et al. Coquillettidia (Culicidae, Diptera) mosquitoes are natural vectors of avian malaria in Africa. Malar J 8, 193 (2009). https://0-doi-org.brum.beds.ac.uk/10.1186/1475-2875-8-193

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/1475-2875-8-193

Keywords