Abundance, behavior and entomological inoculation rates of anthropophilic anophelines from a primary Colombian malaria endemic area
© Naranjo-Diaz et al.; licensee BioMed Central Ltd. 2013
Received: 19 February 2013
Accepted: 22 February 2013
Published: 7 March 2013
In Colombia for several years, the Urabá-Bajo Cauca and Alto Sinú region has registered the highest numbers of malaria cases in the country. Malaria vector incrimination and the characterization of entomological parameters will allow for a better understanding of malaria transmission dynamics and the design of effective vector control strategies for this region.
We conducted a longitudinal survey between November 2008 and June 2010 to quantify entomological (abundance and biting activity) and transmission parameters, including infection rate (IR) and entomological inoculation rate (EIR), to incriminate potential anopheline vectors in three localities of a major Colombian malaria endemic region, the Urabá-Bajo Cauca and Alto Sinú: La Capilla, Juan Jose and El Loro.
A total of 5,316 anopheline mosquitoes corresponding to seven species were collected. Anopheles nuneztovari (69.5%) and Anopheles darlingi (22.2%) were the most abundant species, followed by Anopheles pseudopunctipennis (4.5%), Anopheles albitarsis s.l. (2%), Anopheles triannulatus lineage Northwest (1.8%), Anopheles punctimacula and Anopheles argyritarsis (at < 1%, each). Three species were naturally infected with Plasmodium vivax, An. nuneztovari, An. darlingi (IRs < 1%) and An. triannulatus (IR = 1.5%). Annual EIRs for these species ranged from 3.5 to 4.8 infective bites per year.
These results indicate that An. nuneztovari and An. darlingi continue to be the most important malaria vectors in this region. Anopheles triannulatus, a species of local importance in other South American countries was found naturally infected with Plasmodium vivax VK247; therefore, further work should be directed to understand if this species has a role in malaria transmission in this region.
Colombia ranks second in number of malaria cases in Latin America and, in the past two decades with few exceptions, more than 100,000 cases were registered annually . For several years, the Urabá-Bajo Cauca and Alto Sinú (UCS) region has had the highest numbers of malaria cases in the country , registering 58.18% of the total cases in 2010 . Further, Plasmodium vivax has historically been the most prevalent species in UCS, causing 76.11% and 88.26% of the cases in 2010 and 2011, respectively [3, 4]. It is likely, however, that these case numbers are an underestimate of both transmission and clinical disease [5, 6].
Among the approximately 47 anopheline species that have been identified in Colombia , the three main vector species, Anopheles albimanus Wiedemann, Anopheles nuneztovari Gabaldon and Anopheles darlingi Root, are present in UCS, together with local vectors of importance in other Colombian regions including Anopheles pseudopunctipennis Theobald, Anopheles punctimacula Dyar & Knab, Anopheles oswaldoi (Peryassu) and Anopheles rangeli Gabaldon [7–10]. Some of these species are sibling species with overlapping characters or belong to a complex of cryptic species that differ in their ability to support parasite development, further complicating their incrimination in transmission . For example, within the Albitarsis Complex, six species have been formally described [12–15] and Ruiz et al.  have recently proposed three new members. Within this species complex, only Anopheles deaneorum Rosa-Freitas [17–19], Anopheles marajoara Galvão & Damasceno  and Anopheles albitarsis E, renamed as Anopheles janconnae Wilkerson & Sallum , have been described as epidemiologically important in Brazil. In Colombia, a new mtDNA COI gene lineage closely related to Anopheles janconnae (subsequently named Anopheles albitarsis I ) was detected in localities of UCS , but its importance in malaria transmission is unknown. Similarly, Anopheles triannulatus is a complex of at least three species, including Anopheles triannulatus s.s. (Neiva & Pinto), Anopheles halophylus Silva-do-Nascimento & Lourenço-de-Oliveira, and Anopheles triannulatus C (undescribed) [23, 24]. In addition, the primary malaria vector An. nuneztovari is frequently confused with other species of the Oswaldoi Group due to intraspecific variation and overlapping morphology of the adult [25–28]. Indeed, it has been suggested that An. nuneztovari is a species complex [29–32] and based on white and COI gene sequence analyses, this complex may be composed of at least two cryptic species, An. nuneztovari s.s. located in Colombia and Venezuela and An. goeldii Rozeboom & Gabaldon and other possible species or lineages present in the Amazon basin [29, 31, 33]. In Colombia, An. nuneztovari was reported infected with Plasmodium sp. in Bajo Calima, Buenaventura , and more recently, with Plasmodium vivax VK247 in Montelibano and Tierralta localities in UCS .
In Brazil, An. triannulatus at high densities appears to contribute to transmission at the local level  and has been reported infected with Plasmodium falciparum, P. vivax and Plasmodium malariae Grassi & Felletiin in the Amazon region [35–37]. This species was also considered the dominant vector in eastern Loreto, Peru . In Colombia, An. triannulatus has a wide distribution and in some northwestern localities it was among the predominant species , showing either anthropophilic behavior or zoophilic tendencies [8, 39]. However, until the present study, An. triannulatus had not been reported infected with Plasmodium spp. in endemic areas of Colombia.
Previous studies conducted in UCS attempted to increase knowledge of anopheline species behavior  and relative importance in malaria transmission . However, these studies were constrained in the number and frequency/seasonality of collection days, which can limit detection of variation in anopheline behavior. Therefore, we conducted a longitudinal survey between November 2008 and June 2010 to assess temporal differences in anopheline behavior and transmission parameters in three UCS localities that have not been evaluated in previous studies.
Data on abundance HBR, IR and EIR for the anopheline species collected
Year Month(Number of days)
2009 January (6)
0.087 Pv VK210 a
An. albitarsis s.l.
An. nuneztovari s.s.
2009 April (2), May (4)
0.101 Pv VK247 a
An. albitarsis s.l.
1.515 Pv VK247 a
2009 August (6)
An. albitarsis s.l.
2009 December (5)
An. albitarsis s.l.
2008 November (6)
2009 March (6)
2009 June (6)
2009 September (6)
2009 July (1), Aug (5)
2009 November (6)
0.047 Pv VK247 b
2010 February (6)
2010 June (6)
Collections were conducted from November 2008 to June 2010 using human-landing catches, under an informed consent agreement and collection protocol reviewed and approved by a University of Antioquia Institutional Review Board (Comité de Bioética Sede Investigación Universitaria, CBEIH-SIU, UdeA, approval document 07-41-082). Each locality was visited four times, once every three months. Indoor and outdoor collections within ~10 m of the house were conducted regularly by four human baits per shift (two indoors and two outdoors), from 18:00–24:00 h during five days and one additional night from 18:00–06:00 h. For some species it was possible to obtain and rear field-collected larvae to support species identification. Adult mosquitoes and immature stages were identified using morphology based keys [7, 42, 43]. Species presenting difficulties during the taxonomic identification were confirmed by PCR-RFLP-ITS2 [25, 27, 44] and COI barcode strategy  using primers of Folmer et al. .
Detection of Plasmodium infected mosquitoes
Enzyme-linked immunosorbent assay (ELISA) was conducted with pools of up to five heads and thorax of mosquitoes of the same species to ensure 99% confidence of detecting at least one infected mosquito per pool (expected < 2%) [8, 39]. The initial ELISA was conducted using three monoclonal antibodies directed to P. falciparum, P. vivax VK247 and VK210, tested on separate plates [8, 39, 47, 48]. Positive pools were confirmed by a second ELISA and a nested PCR with Plasmodium genus-specific primers [8, 39, 49] using 6 μL of DNA extracted from individual abdomens as the template . The PCR analysis served to verify the infected mosquito(s) in the pool.
The infection rate (IR) was calculated as the percentage of Plasmodium positive mosquitoes out of the total number of mosquitoes analyzed by species, locality and region. IR values were calculated in two ways: (1) by collection period and (2) for the total number of days sampled. Confidence intervals (CI, 95%) were calculated under the assumption of a binomial distribution using the EPIDAT program, version 3.1 (OPS/OMS 2006). For each site, the summed hourly data of four collections was used to calculate the human biting rate (HBR) as the total number of anophelines captured in each collection divided by the total number of collection days and the average number of collectors [23, 51]. To detect variation resulting from differences in mosquito abundances and infection, the annual entomological inoculation rate (EIR) or the number of infective mosquito bites per year per locality was calculated. The annual EIR was obtained by multiplying the average HBR by the number of infected specimens during the four collections per site by 365 days (EIR = HBR × IR × 365).
Monthly rainfall data from pluviometric stations situated in proximity to the localities were obtained from the Instituto Colombiano de Hidrología, Meteorología y Estudios Ambientales (IDEAM). Spearman’s correlation was performed to estimate the relationship between rainfall and mosquito abundance using pluviometric data of the previous month to a collection. The analysis was performed using the SPSS Program version 18 (SPSS Inc., Chicago, IL).
Anopheline abundance, distribution and seasonal variation
A total of 5,316 anopheline mosquitoes corresponding to seven species were collected during 489 h of sampling (Table 1). CAP and JUJ were the sites showing the highest anopheline diversity with six species each, while in LOR only three species were detected (Table 1). The specimens An. nuneztovari were confirmed as such by PCR-RFLP-ITS2. In a COI network, grouped with sequences of the subclade IIC of Scarpassa & Conn , designated as An. nuneztovari s.s. Anopheles nuneztovari and An. darlingi were the most abundant species (69.5% and 22.2%, respectively) and were present in all three localities. The remaining species found in lower abundances included An. pseudopunctipennis (4.5%), An. albitarsis s.l. (2%), An. triannulatus lineage Northwest (NW)  (1.8%), An. punctimacula and Anopheles argyritarsis Robineau-Desvoidy (each at ≤ 1%). Given that An. punctimacula belongs to the Punctimacula Group, which is characterized by a high degree of isomorphism among its species [52–54] these specimens were confirmed using the barcode strategy. The total number of anophelines for each of the species collected did not show a normal distribution (Kolmogorov-Smirnov Z = 7.2, p < 0.001). The number of collected mosquitoes per night by species varied markedly. For example, specimens of An. nuneztovari in LOR ranged from 1 to 55 per night (Mean = 19.6, SD ± 16.7), 4 to 353 per night (Mean = 83.5, SD ± 118.3) in JUJ and 11 to 120 per night (Mean = 39.1, SD ± 24) in CAP. Similarly, specimens of An. darlingi ranged from 0 to 5 per night (Mean = 1 SD ± 1.4) in JUJ and 10 to 194 per night (Mean = 46.7, SD ± 40.6) in CAP.
Anopheles darlingi was present in all localities but predominated in CAP with 49.1% of the total anophelines collected. In this site, An. darlingi was more abundant during the first (63.9%) and fourth (62.5%) collections, corresponding with the onset (January 2009) and decline of the rains (December 2009), respectively. Anopheles darlingi was less abundant than An. nuneztovari in the other two collections (Table 1) and was least abundant in the third collection (August 2009), during the rainiest period (Figure 2B). In LOR, An. darlingi was present in low abundance in the first and second collections (November 2008 and March 2009), with 0.4% and 8%, respectively. In JUJ, An. darlingi was present in low abundances in all collections (0.7-2.6%) (Table 1). In both LOR and JUJ, increased An. darlingi densities were temporally associated with the transition periods at the beginning or end of the rains (Figure 2B).
Anopheles triannulatus was present in low abundance in all localities. In CAP, peak abundance of An. triannulatus occurred in the third collection (August 2009), which coincided with the peak of the rainy season (13%) (Figure 2C). In LOR, peak abundance of An. triannulatus (6%) occurred at the beginning of the rainy season (March 2009), and it was not detected in the last collection (September 2009) (Table 1 and Figure 2C). In JUJ, An. triannulatus was only collected in the fourth sampling (June 2010), corresponding to a rainy period, with a relative abundance of 3.7% (Table 1 and Figure 2C).
Anopheles albitarsis s.l. Galvão & Damasceno was only collected in CAP, present in all collections, with densities ranging from 1.9% to 5.9% (Table 1), with peak abundance at the onset of the rainy season (not shown). Anopheles pseudopunctipennis and An. punctimacula, considered secondary vectors in Colombia, were detected in CAP and JUJ, in only one collection and in low frequencies (Table 1), during periods of low rain intensity or at the beginning of the rain (not shown). Remarkably, in JUJ, An. pseudopunctipennis predominated (62.6%) in the only collection period in which this species was detected, which corresponded to a dry period. Only one An. argyritarsis specimen (0.6%) was collected in JUJ during a rainy period (June 2010) (Table 1). There was not a significant (p > 0.05) correlation between mosquito abundance and rain for any site or species.
Mosquito biting activity was determined for the most abundant species from 18:00–24:00 h and during one night from 18:00–6:00 h, and expressed as the mean proportion of mosquitoes collected per hour per species (Figure 3). In general, An. nuneztovari exhibited biting activity throughout the night. However, biting peaks varied slightly at collection sites. For example, the highest biting activity was between 20:00–22:00 h, indoors in CAP, and outdoors in JUJ, and between 21:00–22:00 h, indoors in LOR (Figure 3A, 3B and 3C). Biting peaks during the overnight collection were low and occurred at 02:00–03:00 h in LOR, 24:00–01:00 h in JUJ and 01:00–02:00 h CAP (data not shown). The highest biting activity for An. darlingi in CAP was outdoors between 22:00–23:00 h (Figure 3D), with an overnight peak registered between 24:00 and 02:00 h (data not shown).
Human biting rate
Among all species, the primary vectors An. nuneztovari and An. darlingi showed the highest HBRs (Table 1). The highest HBR was registered for An. nuneztovari in JUJ during the July-August 2009 collection (69 bites per night), while An. darlingi showed higher HBRs in CAP in three of the four collections, ranging from 14.1 to 15.1 bites per night (Table 1). Surprisingly, An. pseudopunctipennis, generally a low abundance species, exhibited a HBR of 9.6 bites per night in the February 2010 collection in JUJ, which was higher than that of An. nuneztovari (4.6 bites per night), in the same period (Table 1).
Infection rate and entomological inoculation rate
A total of 5,299 were processed for infection analysis, four infected specimens were detected in two of the three localities (Table 1). In CAP, An. nuneztovari and An. triannulatus were infected with P. vivax VK247 (IR of 0.101% and 1.515%, respectively) and one specimen of An. darlingi was infected with P. vivax VK210 (IR of 0.087%). In JUJ, one An. nuneztovari specimen was infected with P. vivax VK247 (IR of 0.047%) (Table 1). When the IR was calculated by collection period, An. triannulatus had the highest IR (12.5%), which was influenced by its low abundance. In general, however, mean annual EIRs were low, with four infective bites per year (Table 1). The HBRs influenced the EIRs, except for An. triannulatus (Table 1). In general, cumulative EIR values indicate higher malaria intensity in CAP (12 infective bites per year) than in JUJ (3.6 infective bites per year).
In the UCS region, 24 anopheline species have been previously registered . Historically, the reported malaria vectors included An. albimanus, An. darlingi and An. nuneztovari[8, 9]. In the present study, An. nuneztovari was the predominant species in two of the three USC localities evaluated (JUJ and LOR), while in CAP, An. darlingi predominated, followed by An. nuneztovari. Studies conducted in this region during the last decade reported the presence of these two main Colombian vectors [8, 40], but those studies did not included periodic samplings that can reveal fluctuations of these main vectors or other species of local importance.
In this study, An. darlingi showed higher abundances during the transition periods (at the beginning or end of the rains), consistent with most reports for this species in localities of other Latin-American countries such as Venezuela, Brazil and Belize [55–57]. Occasionally, however, high densities have been reported in the dry season in some regions of Brazil [23, 36]. Possible reasons for higher densities during the transition periods have been related to human activities that may provide larval habitats that persist in the dry season or transitional period . In CAP, where An. darlingi predominated, the main economic activities are alluvial mining, followed by livestock and small scale rice production, which provide larval habitats for An. darlingi that can wash out during prolonged rain periods [56–60]. Low densities of An. darlingi in JUJ and LOR may be related to human activities and temporary larval habitats associated with timber extraction, livestock and crop production, which are clearly distinct from the natural rainforest larval habitats typical for An. darlingi such as lagoons, forested river margins and streams covered with vegetation [55, 61–63].
The dominance of An. nuneztovari in Cordoba may be related to environmental disturbance. This species has been characterized by its adaptability and ability to colonize artificial larval habitats in impacted areas [37, 64]. In CAP, open sky mining and in LOR and JUJ, artificial ponds for aquaculture and livestock production with the flooding of pastures during rainy periods, can provide the appropriate larval habitats for An. nuneztovari. Association of high densities of An. nuneztovari with rainy periods has also been reported for other places of Brazil  and Venezuela .
The low densities found for An. triannulatus may be influenced by the collection method since both zoophilic  and anthropophilic activity  have been reported for this species in the northwest Colombia. Anopheles triannulatus was collected at the beginning or during rainy periods when larval habitats associated with lakes and river margins , ditches and open sky mining [8, 67, 68], would be readily available. Previous studies in Venezuela and Brazil reported higher An. triannulatus densities during and at the end of the rains [56, 59, 65]. Given that An. triannulatus comprises a species complex, that in Colombia there is no evidence of the presence of the different species and that two lineages were detected with the NW lineage occurring in the UCS region , we suggest that the taxonomic status of these specimens should be clarified to draw accurate inferences about the ecological and behavioral characteristics of this taxon.
Anopheles albitarsis s.l. was only collected in CAP and showed its highest peak at the onset of the rainy period. Some species of the Albitarsis Complex, such as An. marajoara, have been associated with disturbed environments [20, 69] such as mining excavations, with higher peaks in the rainy season . However, a better definition of the Albitarsis Complex species present in Colombia is required for proper interpretation of our findings. In contrast to An. albitarsis s.l., An. punctimacula and An. pseudopunctipennis were collected during dry or very low rain periods. This is consistent with previous reports indicating presence of these two species mostly in the dry period [70–72]. Low densities of An. punctimacula in NW Colombia  were related to its zoophilic tendency [72, 74]; therefore, livestock production in CAP and JUJ may provide an additional feeding resource for these species and human landing catches would underestimate their actual abundance.
In this survey, anopheline biting activity varied. Similar to previous reports outdoors [8, 40], the highest biting peaks for An. nuneztovari in these localities were in the range of 20:00–22:00 h, with activity in both, indoors and outdoors. In CAP, An. darlingi predominated, showing biting activity through the night with the highest biting peak outdoors between 21:00–22:00 h. The main biting peaks for these two vectors took place in hours where the people are in their houses involved in leisure activities. Therefore, vector control strategies such as the use of repellents and the applications of residual insecticides may be directed to reduce human-vector contact.
Total HBRs for An. nuneztovari and An. darlingi differed by locality. HBRs for An. nuneztovari were higher than those previously reported for this species in this region , or in the east [69, 75] and Pacific region of Colombia [69, 75]. In Brazil, low HBR values for An. nuneztovari have also been reported , but also high or higher than the ones found in this study have been reported (30.3 to 123.7 bites per night) . Because An. nuneztovari is a complex of at least two species, one in Colombia and Venezuela and the other in Brazil [31, 33], ecological and behavioral differences may influence HBR. For An. darlingi, HBRs varied significantly among localities and were similar or lower than those previously recorded in other UCS localities , and in eastern Colombia . As in the present study, low HBRs have also been reported in the Brazilian Amazon where An. darlingi is an important vector [21, 23], however, in this region the highest HBRs have also been registered (53.8 to 837.7 bites per night) .
Infected mosquitoes were collected during periods of low rainfall, in agreement with previous work in Colombia that related higher malaria transmission to periods of low rain . The low IRs found for An. nuneztovari and An. darlingi are consistent with those previously found in other UCS sites [8, 39, 77], indicating that IRs remain relative stable in these localities. Until now, however, An. triannulatus has not been incriminated as a malaria vector in Colombia. In this study one specimen from CAP was found infected in the first ELISA and the nested PCR. Although the IR was higher than for the two main malaria vectors, this value was strongly influenced by the low number of specimens collected and analyzed. Our findings should be interpreted in the context of false positives that have been reported mostly for ELISA [78, 79], particularly for anophelines with zoophilic preferences . Most importantly, however, a positive PCR indicates presence of the parasite but not necessarily that the mosquito is infective. We also note that An. punctimacula and An. pseudopunctipennis, species that have been historically considered of local importance [7, 9, 39], were generally collected in low numbers and were not infected, so their epidemiological relevance in our study sites could not be confirmed.
The IRs, HBRs and EIRs values for An. nuneztovari and An. darlingi provide additional evidence of the importance of these species in malaria transmission in the UCS sites. EIR, which reflects transmission intensity , was influenced by the HBR for An. darlingi and An. nuneztovari and by the high IR for An. triannulatus. The annual EIR for An. nuneztovari in CAP and JUJ is considered high for a non-Amazon region where EIRs as high as 141.25 infective bites per year have been reported in the Amazonian locality of Saõ João . At these UCS sites, the EIRs indicate that a person would receive approximately one infected bite every three months. The annual EIR for An. darlingi in CAP is similar to the EIR reported for An. darlingi in mining areas of southern Venezuela . However, higher EIRs have been reported in forested areas of other Latin American countries where An. darlingi occurs at high densities and is a main vector, for example in French Guyana (14.4 to 27.4 infective bites per year) , in Rondõnia State (10 infective bites per year) , and in Amapá State localities, Brazilian Amazon (up to 1 infective bite per day) . The low EIR registered for An. triannulatus is consistent with values previously reported that suggested that this species in high density had importance in local transmission . Although An. triannulatus was found to be infected with P. vivax, its importance as a malaria vector in Colombia needs to be clarified.
In the present study, regular field trips over a nearly two year period were conducted in highly endemic UCS to refine knowledge of the temporal and geographic distributions for species considered potential malaria vectors. In general, the results demonstrated that An. nuneztovari and An. darlingi continue to be the main malaria vectors in UCS localities. Infected specimens were detected in periods when the HBRs for these species were low, indicating that they maintain malaria transmission even in low densities. Furthermore, information on the EIR, an indicator of transmission intensity, may be used to maximize the resources used for control efforts that according to the results should be applied specially in transition and low rain periods. The EIR values are also useful in future studies directed to evaluate the efficacy of the control measure in this area. Additional studies are recommended to investigate the role of An. triannulatus as a local vector in Colombia.
This work was funded by the National Institutes of Health NIH-USA, Grant No. R03-AI076710 and Estrategia para la Sostenibilidad de Grupos 2011–2012 Universidad de Antioquia, No. E01624, to MMC.
We are grateful to S. Berrocal, Director of the Hospital Nuestra Señora del Carmen, El Bagre Antioquia, and Personnel at the Dirección Local de Salud de Tierralta, Córdoba for their logistic support during this work. M. Altamiranda, J.C. Marin, G.F. Gómez and A. Yate for mosquito collection. N. Alvárez and L.M. Jaramillo for laboratory technical support.
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