Literature DB >> 21678789

Trapping tsetse flies on water.

C Laveissière1, M Camara, J B Rayaisse, E Salou, M Kagbadouno, P Solano.   

Abstract

Riverine tsetse flies such as Glossina palpalis gambiensis and G. tachinoides are the vectors of human and animal trypanosomoses in West Africa. Despite intimate links between tsetse and water, to our knowledge there has never been any attempt to design trapping devices that would catch tsetse on water. In mangrove (Guinea) one challenging issue is the tide, because height above the ground for a trap is a key factor affecting tsetse catches. The trap was mounted on the remains of an old wooden dugout, and attached with rope to nearby branches, thereby allowing it to rise and fall with the tide. Catches showed a very high density of 93.9 flies/"water-trap"/day, which was significantly higher (p < 0.05) than all the catches from other habitats where the classical trap had been used. In savannah, on the Comoe river of South Burkina Faso, the biconical trap was mounted on a small wooden raft anchored to a stone, and catches were compared with the classical biconical trap put on the shores. G. p. gambiensis and G. tachinoides densities were not significantly different from those from the classical biconical one. The adaptations described here have allowed to efficiently catch tsetse on the water, which to our knowledge is reported here for the first time. This represents a great progress and opens new opportunities to undertake studies on the vectors of trypanosomoses in mangrove areas of Guinea, which are currently the areas showing the highest prevalences of sleeping sickness in West Africa. It also has huge potential for tsetse control using insecticide impregnated traps in savannah areas where traps become less efficient in rainy season. The Guinean National control programme has already expressed its willingness to use such modified traps in its control campaigns in Guinea, as has the national PATTEC programme in Burkina Faso during rainy season.

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Year:  2011        PMID: 21678789      PMCID: PMC3671414          DOI: 10.1051/parasite/2011182141

Source DB:  PubMed          Journal:  Parasite        ISSN: 1252-607X            Impact factor:   3.000


Introduction

Tsetse flies are the vector of human and animal Trypanosomoses that still cause thousands of lethal cases to humans (Simarro ), and millions dollars of losses for agriculture and livestock (Budd ). In West Africa, the area currently the most prevalent for sleeping sickness is the mangrove area of Guinea (Camara ), whereas in savannahs the main problem is animal trypanosomosis (Courtin et al., 2008). The main vector of both human and animal African trypanosomiasis (HAT and AAT) in West Africa is Glossina palpalis gambiensis, which lives from the savannah to the mangrove. This tsetse is a riverine species since it is intimately linked to water: it disperses mainly along rivers and forest vegetation, and can hardly go out from this habitat due to its hygrometrical needs. Riverine forests correspond to its resting and reproductive sites (Challier, 1973). Larviposition in savannah usually takes place on river shores, whereas it remains unknown in mangrove. Quite unexpectedly, despite these intimate links between tsetse and water, to our knowledge there has never been any attempt to design trapping devices that would catch tsetse on water. One of the most efficient strategies to break the trypanosomosis cycle is to control the vector. This can be done by using insecticide impregnated traps and targets, which is a very efficient technique, environmentally friendly, cheap, and doable by local communities (Laveissière & Penchenier, 2005). These traps are also the most used devices to sample alive tsetse: in this case they are used without insecticides, using a cage on top of the trap that will allow the collection of the flies. Two of them are mainly used in West Africa: the biconical Challier-Laveissière trap (Challier ), and its simplified derivative, the monoconical Vavoua trap (Laveissière & Grébaut, 1990). These traps are usually placed along the river shores in savannah, or in places frequented by humans near the water in forested regions. However in mangrove, very few studies, if any, have been undertaken on tsetse ecology. This may be due to the fact that they inhabit this typical mangrove habitat, which is accessible only by boat. There was therefore a need to develop a trap that would be able to sample tsetse in their natural habitat, i.e. on the water. However in the mangrove habitat, the tide makes it impossible to put classical traps, since they would be either flooded by high tide, or be totally unefficient at low tide. Indeed the lower parts of the trap have to be placed at a maximum of 30 cm up the ground to efficiently catch tsetse, and height is known to significantly affect trapping efficiency (Laveissière et al., 1987). Here we report the adaptation of the Vavoua and biconical traps to water habitat, respectively in mangrove in Guinea, and in savannah in Burkina Faso.

Material and Methods

Different adaptations were implemented according to tsetse habitat before reaching the best compromise (data not shown).

• Mangrove (Guinea)

As it can be seen in Fig. 1, the trap was mounted on the remains of an old wooden dugout, and attached with rope to nearby branches thereby allowing it to rise and fall with the tide. Trap catches between the classical trap and the new one were compared in different habitats at the same time, in dry season. The water-adapted trap (here the Vavoua) was set in the mangrove channels, whereas the classical Vavoua traps had been sited in typical tsetse habitats (forest, encampments, villages, riverside docks, tracks, wells). A negative binomial regression was used to compare densities according to habitat, using the Stata Software (Stata Corporation).
Fig. 1.

Floating Vavoua trap in the mangrove of the Dubreka focus, Guinea.

Floating Vavoua trap in the mangrove of the Dubreka focus, Guinea.

• Savannah (Burkina Faso)

The biconical trap was mounted on a small wooden raft anchored to a stone as illustrated in Fig. 2. Catches were compared between the water-adapted trap and the classical one at the same time (dry season also) in the same habitat. Traps were settled on the Comoe river in the area of Folonzo (south of Burkina Faso), and catches were compared following a 2*2 latin squares design repeated 12 times. Daily catches were normalized and variances homogenized using a log10 (n + 1) transformation. An ANOVA of these transformed means was done using the freely available Genstat Software. To provide a common index of the effect of trap type on catches, the detransformed mean catch of tsetse from the water-adapted trap was expressed as the proportion of that from the standard one and the value was termed the catch index (see also Omolo ; Rayaisse ). The difference between the two types of trap was significant when the p value was < 0.05.
Fig. 2.

Floating biconical trap on the Comoe river, Burkina Faso.

Floating biconical trap on the Comoe river, Burkina Faso.

Results

• Guinea

As it can be seen in Table I, catches showed a very high density of 93.9 flies/“water-trap”/day (f/t/d), which was significantly higher (p < 0.05) than all the catches from other habitats where the classical trap had been used, these latter ranging from 4 to 28 f/t/d. All tsetse caught belonged to G. p. gambiensis. Although this experimental design did not allow to know whether the modified trap caught more than a normal trap, or alternatively if tsetse were more present in mangrove channels than in other habitats, it is worthy of note that it was the only one possible, since no other trap than the modified one could be used in these channels.
Table I.

Glossina palpalis gambiensis apparent density per biotope in mangrove habitat, Guinea.

BiotopeApparent densityp
Mangrove channel (control)93.8 ± 32.8
Dry channel29 ± 16.80.000
Encampment12.5 ± 40.000
River14.5 ± 5.80.000
Riverside dock25.75 ± 6.90.000
Forest25.75 ± 3.30.000
Village4.25 ± 1.50.000
Wells8.5 ± 1.90.000
Track10 ± 2.60.000

Apparent densities in all biotopes were compared to the density of the mangrove water channel by using a binomial regression (see text for details). All values were significantly lower than the density obtained in the mangrove channel.

Glossina palpalis gambiensis apparent density per biotope in mangrove habitat, Guinea. Apparent densities in all biotopes were compared to the density of the mangrove water channel by using a binomial regression (see text for details). All values were significantly lower than the density obtained in the mangrove channel.

• Burkina Faso

In Table II are shown the results of the comparisons between the modified biconical and the classical one on the Comoe river, where two species were caught, G. p. gambiensis and G. tachinoides. G. p. gambiensis densities, although being slightly lower using the modified trap, were not significantly different than those from the classical biconical one. It was the same for G. tachinoides, this latter being caught in much higher densities.
Table II.

Results of comparisons between the modified (floating) biconical trap and the classical one on the Comoe river in Burkina Faso.

TrapGpgmCatch indexGPgfCatch indexGpgCatch indexGtmCatch indexGtfCatch indexGtCatch index
Classical1.5310.9812.52116.82131.14148.321
Floating0.950.620.50.511.440.5715.030.8923.270.7538.990.81
n121212121212
p0.330.250.250.550.190.28
sed0.110.10.130.070.090.08

Densities are detransformed ones. Catch index is as described in the text. n = number of repeats (i.e. number of days of capture); p = probability; sed = standard deviation; Gpg = G. p. gambiensis; Gt = G. tachinoides; m = male; f = female.

Results of comparisons between the modified (floating) biconical trap and the classical one on the Comoe river in Burkina Faso. Densities are detransformed ones. Catch index is as described in the text. n = number of repeats (i.e. number of days of capture); p = probability; sed = standard deviation; Gpg = G. p. gambiensis; Gt = G. tachinoides; m = male; f = female.

Discussion

The adaptations described here have allowed to efficiently catch tsetse on the water, which to our knowledge is reported here for the first time. This represents a great progress and opens new opportunities to undertake studies on the vectors of Trypanosomoses in mangrove areas of Guinea, which are currently the areas showing the highest prevalences of sleeping sickness in West Africa (Camara ; Simarro ). It also has huge potential for tsetse control using insecticide impregnated traps in savannah areas where traps become less efficient in rainy season, either because they are destroyed by floods, or because grass is too high and traps are no longer visible to tsetse. The adaptation described here makes it possible to still have an impact on tsetse populations during the rainy season. Should the efficiency of this modified trap had been lower than the classically used ones, it would still be very useful since the classical ones can not be used at all during the rainy season in savannah, nor they can be used at any season in the mangrove habitat. The Guinean National control programme has already expressed its willingness to use such modified traps in their control campaigns in Guinea, as has the national PATTEC programme in Burkina Faso during rainy season (I. Sidibe, pers. com.). This first improvement provides room for further improvements in trapping efficiency in these areas, for instance by modifying size and shape of these floating devices, as described in Lindh for classical traps and targets. This modified trap could also be used wherever tsetse are intimately linked to water, which represent most of the cases for riverine species, such as G. fuscipes s.l. which is the main vector of sleeping sickness throughout Central Africa.
  7 in total

Review 1.  Sleeping sickness in West Africa (1906-2006): changes in spatial repartition and lessons from the past.

Authors:  F Courtin; V Jamonneau; G Duvallet; A Garcia; B Coulibaly; J P Doumenge; G Cuny; P Solano
Journal:  Trop Med Int Health       Date:  2008-03       Impact factor: 2.622

2.  [The trapping of tsetse flies (Diptera: Glossinidae). Improvement of a model: the Vavoua trap].

Authors:  C Laveissière; P Grébaut
Journal:  Trop Med Parasitol       Date:  1990-06

3.  [Human African trypanosomiasis in the mangrove forest in Guinea: epidemiological and clinical features in two adjacent outbreak areas].

Authors:  M Camara; D Kaba; M KagbaDouno; J R Sanon; F F Ouendeno; P Solano
Journal:  Med Trop (Mars)       Date:  2005

4.  Prospects for the development of odour baits to control the tsetse flies Glossina tachinoides and G. palpalis s.l.

Authors:  J B Rayaisse; I Tirados; D Kaba; S Y Dewhirst; J G Logan; A Diarrassouba; E Salou; M O Omolo; P Solano; M J Lehane; J A Pickett; G A Vale; S J Torr; J Esterhuizen
Journal:  PLoS Negl Trop Dis       Date:  2010-03-16

5.  Prospects for developing odour baits to control Glossina fuscipes spp., the major vector of human African trypanosomiasis.

Authors:  Maurice O Omolo; Ahmed Hassanali; Serge Mpiana; Johan Esterhuizen; Jenny Lindh; Mike J Lehane; Philippe Solano; Jean Baptiste Rayaisse; Glyn A Vale; Steve J Torr; Inaki Tirados
Journal:  PLoS Negl Trop Dis       Date:  2009-05-12

6.  Improving the cost-effectiveness of artificial visual baits for controlling the tsetse fly Glossina fuscipes fuscipes.

Authors:  Jenny M Lindh; Steve J Torr; Glyn A Vale; Mike J Lehane
Journal:  PLoS Negl Trop Dis       Date:  2009-07-07

Review 7.  Eliminating human African trypanosomiasis: where do we stand and what comes next?

Authors:  Pere P Simarro; Jean Jannin; Pierre Cattand
Journal:  PLoS Med       Date:  2008-02       Impact factor: 11.069

  7 in total
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Journal:  PLoS Negl Trop Dis       Date:  2012-12-13

2.  Baited-boats: an innovative way to control riverine tsetse, vectors of sleeping sickness in West Africa.

Authors:  Jean-Baptiste Rayaisse; Ernest Salou; Fabrice Courtin; Wilfrid Yoni; Issiaka Barry; Fabien Dofini; Moise Kagbadouno; Mamadou Camara; Stephen J Torr; Philippe Solano
Journal:  Parasit Vectors       Date:  2015-04-18       Impact factor: 3.876

  2 in total

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