Tsetse flies: Their biology and control using area-wide integrated pest management approaches

Vreysen, Marc J. B.; Seck, Momar Talla; Sall, Baba; Bouyer, Jérémy

doi:10.1016/j.jip.2012.07.026

Cited by 150 publications

(170 citation statements)

References 89 publications

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“…Despite substantial efforts for over a century, deliberate efforts to reduce the vast tsetse belt have had very limited success (5). In past decades, spraying of residual insecticides was effective in certain areas, but this technique is no longer acceptable on environmental grounds.…”

Section: The Challenges Of Tsetse Eliminationmentioning

confidence: 99%

Mapping landscape friction to locate isolated tsetse populations that are candidates for elimination

Bouyer

Dicko

Cecchi

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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Tsetse flies are the cyclical vectors of deadly human and animal trypanosomes in sub-Saharan Africa. Tsetse control is a key component for the integrated management of both plagues, but local eradication successes have been limited to less than 2% of the infested area. This is attributed to either resurgence of residual populations that were omitted from the eradication campaign or reinvasion from neighboring infested areas. Here we focused on Glossina palpalis gambiensis, a riverine tsetse species representing the main vector of trypanosomoses in West Africa. We mapped landscape resistance to tsetse genetic flow, hereafter referred to as friction, to identify natural barriers that isolate tsetse populations. For this purpose, we fitted a statistical model of the genetic distance between 37 tsetse populations sampled in the region, using a set of remotely sensed environmental data as predictors. The least-cost path between these populations was then estimated using the predicted friction map. The method enabled us to avoid the subjectivity inherent in the expert-based weighting of environmental parameters. Finally, we identified potentially isolated clusters of G. p. gambiensis habitat based on a species distribution model and ranked them according to their predicted genetic distance to the main tsetse population. The methodology presented here will inform the choice on the most appropriate intervention strategies to be implemented against tsetse flies in different parts of Africa. It can also be used to control other pests and to support conservation of endangered species.area-wide integrated pest management | eradication | vector control | remote sensing | resistance surface

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Section: The Challenges Of Tsetse Eliminationmentioning

confidence: 99%

Mapping landscape friction to locate isolated tsetse populations that are candidates for elimination

Bouyer

Dicko

Cecchi

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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“…ETH is released from the Inka cells of the trachea upon stimulation by EH and/or Crz [63], and acts on the CNS. While we could not detect EH in tsetse fly tissues, we could detect the presence of a single truncated ETH peptide (ETH [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] ) in the brain (Supplementary Data).…”

Section: Crustacean Cardioactive Peptides -Corazoninecdysis Triggerinmentioning

confidence: 99%

“…In addition, new drugs have not been developed since 1990. Even though new therapies are being explored such as anti-trypanosome nanobodies [9], targeting the tsetse fly vector remains a cornerstone in the control and elimination of HAT and AAT [10,11]. Owing to their small population size, low reinvasion rate [12], and low reproductive rate, tsetse flies cannot recover quickly from a collapse of their population [11].…”

Section: Introductionmentioning

confidence: 99%

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

Caers

Boonen

Abbeele³

et al. 2015

J. Am. Soc. Mass Spectrom.

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Abstract. Neuropeptides and peptide hormones are essential signaling molecules that regulate nearly all physiological processes. The recent release of the tsetse fly genome allowed the construction of a detailed in silico neuropeptide database (International Glossina Genome Consortium, Science 344, 380-386 (2014)), as well as an in-depth mass spectrometric analysis of the most important neuropeptidergic tissues of this medically and economically important insect species. Mass spectrometric confirmation of predicted peptides is a vital step in the functional characterization of neuropeptides, as in vivo peptides can be modified, cleaved, or even mispredicted. Using a nanoscale reversed phase liquid chromatography coupled to a Q Exactive Orbitrap mass spectrometer, we detected 51 putative bioactive neuropeptides encoded by 19 precursors: adipokinetic hormone (AKH) I and II, allatostatin A and B, capability/ pyrokinin (capa/PK), corazonin, calcitonin-like diuretic hormone (CT/DH), FMRFamide, hugin, leucokinin, myosuppressin, natalisin, neuropeptide-like precursor (NPLP) 1, orcokinin, pigment dispersing factor (PDF), RYamide, SIFamide, short neuropeptide F (sNPF) and tachykinin. In addition, propeptides, truncated and spacer peptides derived from seven additional precursors were found, and include the precursors of allatostatin C, crustacean cardioactive peptide, corticotropin releasing factor-like diuretic hormone (CRF/DH), ecdysis triggering hormone (ETH), ion transport peptide (ITP), neuropeptide F, and proctolin, respectively. The majority of the identified neuropeptides are present in the central nervous system, with only a limited number of peptides in the corpora cardiaca-corpora allata and midgut. Owing to the large number of identified peptides, this study can be used as a reference for comparative studies in other insects.

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“…Control strategies for G. f. fuscipes have included insecticides sprayed aerially or directly onto cattle, traps, and baited targets (Lindh, Torr, Vale, & Lehane, 2009; Shaw et al., 2013; Tirados et al., 2015; Torr, Hargrove, & Vale, 2005). However, control initiatives implemented to date have experienced some setbacks due to resurgence of tsetse in treated areas because of either residual populations that were not eliminated or immigration from neighboring untreated areas (Aksoy et al., 2013; Opiro et al., 2016; Vreysen, Seck, Sall, & Bouyer, 2013). This highlights the need for improvements in vector control and monitoring (PATTEC, 2001; Simarro et al., 2011).…”

Section: Introductionmentioning

confidence: 99%

A spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Uganda

Saarman

Burak

Opiro

et al. 2018

Ecology and Evolution

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Tsetse flies (genus Glossina) are the only vector for the parasitic trypanosomes responsible for sleeping sickness and nagana across sub‐Saharan Africa. In Uganda, the tsetse fly Glossina fuscipes fuscipes is responsible for transmission of the parasite in 90% of sleeping sickness cases, and co‐occurrence of both forms of human‐infective trypanosomes makes vector control a priority. We use population genetic data from 38 samples from northern Uganda in a novel methodological pipeline that integrates genetic data, remotely sensed environmental data, and hundreds of field‐survey observations. This methodological pipeline identifies isolated habitat by first identifying environmental parameters correlated with genetic differentiation, second, predicting spatial connectivity using field‐survey observations and the most predictive environmental parameter(s), and third, overlaying the connectivity surface onto a habitat suitability map. Results from this pipeline indicated that net photosynthesis was the strongest predictor of genetic differentiation in G. f. fuscipes in northern Uganda. The resulting connectivity surface identified a large area of well‐connected habitat in northwestern Uganda, and twenty‐four isolated patches on the northeastern margin of the G. f. fuscipes distribution. We tested this novel methodological pipeline by completing an ad hoc sample and genetic screen of G. f. fuscipes samples from a model‐predicted isolated patch, and evaluated whether the ad hoc sample was in fact as genetically isolated as predicted. Results indicated that genetic isolation of the ad hoc sample was as genetically isolated as predicted, with differentiation well above estimates made in samples from within well‐connected habitat separated by similar geographic distances. This work has important practical implications for the control of tsetse and other disease vectors, because it provides a way to identify isolated populations where it will be safer and easier to implement vector control and that should be prioritized as study sites during the development and improvement of vector control methods.

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Tsetse flies: Their biology and control using area-wide integrated pest management approaches

Cited by 150 publications

References 89 publications

Mapping landscape friction to locate isolated tsetse populations that are candidates for elimination

Mapping landscape friction to locate isolated tsetse populations that are candidates for elimination

Peptidomics of Neuropeptidergic Tissues of the Tsetse FlyGlossina morsitans morsitans

A spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Uganda

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