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Last Update 02/04/2009

 

 

    
     
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The distribution and ecology of larval malarial mosquitoes

in Chapare Valley, Bolivia

 

Reema Paudel1, Gary N. Fritz1 and Roberto Rodriguez2

1Department of Biological Sciences, Eastern Illinois University
2Laboratorio de Entomolgia Medica, Escuela de Salud Publica, Cochabamba, Bolivia

 

Introduction

 

Malaria is an important public problem, affecting approximately 270-488 million people and killing 1-3 million people each year (Target, 1991, Savage et al, 1990); nearly 15 million of these cases occur in tropical America (Sturchler, 1989). Although the vector species of malaria are well known in Africa and some regions in Asia, significantly less is known about the transmission of the disease in the Neotropics. Unlike in Africa, where two or three species are responsible for most transmission throughout the continent, the epidemiology of malaria in the Neotropics is more complex due, in part, to the diversity of the potential vectors (Audho et al, 1995) and complex ecological history (Vuilleumier, 1971). Thus one of the major obstacles in studies attempting to determine the identity, behavior and ecology of primary vectors has been the great difficulty in distinguishing species. The Chapare Valley in Bolivia (Figures 1 and 2) is of particular interest for examining the epidemiology of malaria since it exemplifies the changing nature of tropical rainforest areas of South America. Much of the Valley is now disturbed, is inhabited by subsistence farmers, is a patchwork of secondary forest and agricultural lands, and has a large proportion of migrant workers. Human disturbed rainforests typically have as much as a five-fold increase in anopheline densities over undisturbed forests (Tadei et al, 1998) and probably affect species diversity too. The Chapare Valley thus offers a good model system for examining and understanding vector dynamics in a region of the Neotropics where there is a great diversity of potential vector species and ecological habitats, concomitant with the effects of human activity in the ecology of a rainforest.

 

Purpose of this study

 

The purpose of the study is to address the ecological differentiation of anopheline species at the level of breeding sites in a valley region where species diversity is high and the ecology of the area is complex. We hypothesize that environmental variables predict the distribution patterns of larval mosquitoes in the Chapare Valley. The specific objectives include the determination of malaria mosquito species and their distributions in breeding habitats, the description of limnological and altitudinal profiles of breeding sites and correlations with species distribution patterns.

 

Methods

 

Sampling at breeding sites: Fifty-six anopheline breeding sites were sampled for mosquito larvae and water quality parameters. Measures of water quality included pH, TDS, conductivity, turbidity, temperature, NO3, NH4-N, COD, PO4, volatile solids, suspended solids and fixed solids using standard limnological methods. Elevation of each site was taken using an altimeter.

 

  Figure 1. Study site in Bolivia

 

 

  Figure 2. Sampling transect in the Chapare Valley, Bolivia.

 

Polymerase Chain Reaction (PCR): Fifty random larvae from each site were amplified using a multiplex PCR that identified four species. Amplification products for these species were at least 40bp different in length and thus easily resolved on 2% agarose gels.

 

Statistical analyses: Relationships among environmental variables and the occurrence of the mosquito taxa were investigated using Principal Component Analysis (PCA). A series of correlations were completed for each species and the PCA factor. One-way ANOVA was used to relate species distribution to elevation.

 

 

Results and discussion

 

Using a multiplex PCR that identified only four species of anopheline mosquitoes found in the Chapare Valley (Figures 3, 4, 5 and 6), we accounted for nearly 50% of all mosquito larvae collected from fifty-six aquatic breeding sites (Figure 7). Anopheles rangeli and A. trinkae appear to be the most abundant species (Figure 8), but A. triannulatus is most widely dispersed (Figure 9). The distributions of A. trinkae, A. rangeli and A. strodei are limited to certain altitudinal zones, though interspecific competition cannot be ruled out as a factor in addition to other variables (e.g. limnological variables and other aspects of habitat including those that may affect adults).

 

 

Figures 3, 4, 5 and 6. Multiplex PCR identification of four anopheline species

 

Figure 7.  Mosquito species identified.

 

Figure 8. Abundance of identified anopheline species

 

Figure 9.  Species distribution

 

Environmental variables correlated significantly with the distributions of species (Tables 1, 2 and 3). DO, pH, TDS and suspended solids have a significant role in defining A. triannulatus breeding sites. A. strodei breeding sites had a significant relationship with COD, TDS, conductivity, pH and fixed solids. Most of the limnological variables measured have significant relationships with A. trinkae habitat.

 

Table 1. Pearson correlation of limnological variables with PCA factors

 

 

Table 2. Pearson correlation of species with limnological variables

 

Table 3. One way ANOVA (species vs. elevation)

 

Understanding species distribution patterns and their relationships to environmental variables will elucidate the epidemiology of malaria in the Chapare Valley and lead to more efficient and cost effective measures of control.

 

 

 

Literature cited

 

Audoho, M., A. Tassanakajon, B. Boosaeng, S. Tpiankijagum an S. Panyium. 1995. Simple non-radioactive hybridization method for identification of sibling species of Anopheles dirus (Diptera: Culicidae) complex. J. Med. Entomol. 32: 107-111.

 

Savage, H. M., E. Rejmankova, J. Arredondo-Jimenez, D. R. Roberts and M. H. Rodriguez. 1990. Limnological and botanical characterization of larval habitats for the two primary malaria vectors, Anopheles albimanus and A. pseudopunctipennis, in costal areas of Chiapas State, Mexico. J. Amer. Mosq. Contr. Assoc. 6: 612-620.

 

Sturchler, D. 1989. How much malaria is there worldwide? Parasitology Today. 5: 39.

 

Tadei, W. P., B. D. Thatcher, J. M. M. Santos, W.M. Scarpassa, I. B. Rodriguez, and M. S. Rafeal. 1998. Ecologic observations on anopheline vectors of malaria in the Brazilian Amazon. Am. J. Trop. Hyg. 59: 325-335.

 

Target, G. A. T. 1991. Malaria. Waiting for the Vaccine. John Wiley and Sons, NY.

 

Vuilleumier, B. S. 1971. Pleistocene changes in the fauna and flora of South America. Science 173: 771-780.

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