The Flight of Stegomyia Aegypti (L.) 1

Shannon, R. C.; Davis, N. C.

doi:10.4269/ajtmh.1930.s1-10.151

Cited by 15 publications

(6 citation statements)

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“…They appear to disperse poorly across highways [ 31 , 42 , 43 ] and through vegetated parkland [ 44 ]. Occasional long-range dispersal, on the order of 0.5–1 km, has been observed [ 45 , 46 , 47 , 48 ]. However, given the bistable dynamics of w Mel in Ae .…”

Section: Introductionmentioning

confidence: 99%

Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes aegypti

et al. 2017

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Dengue-suppressing Wolbachia strains are promising tools for arbovirus control, particularly as they have the potential to self-spread following local introductions. To test this, we followed the frequency of the transinfected Wolbachia strain wMel through Ae. aegypti in Cairns, Australia, following releases at 3 nonisolated locations within the city in early 2013. Spatial spread was analysed graphically using interpolation and by fitting a statistical model describing the position and width of the wave. For the larger 2 of the 3 releases (covering 0.97 km2 and 0.52 km2), we observed slow but steady spatial spread, at about 100–200 m per year, roughly consistent with theoretical predictions. In contrast, the smallest release (0.11 km2) produced erratic temporal and spatial dynamics, with little evidence of spread after 2 years. This is consistent with the prediction concerning fitness-decreasing Wolbachia transinfections that a minimum release area is needed to achieve stable local establishment and spread in continuous habitats. Our graphical and likelihood analyses produced broadly consistent estimates of wave speed and wave width. Spread at all sites was spatially heterogeneous, suggesting that environmental heterogeneity will affect large-scale Wolbachia transformations of urban mosquito populations. The persistence and spread of Wolbachia in release areas meeting minimum area requirements indicates the promise of successful large-scale population transformation.

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Section: Introductionmentioning

confidence: 99%

Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes aegypti

et al. 2017

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“…Estimating that buffalos spend an average of 4 days in an infectious state, like other ruminants (Manore and Beechler 2015), we assumed that a buffalo may be able to transmit the virus responsible for RVF within 1 month of infection. Mosquitoes can fly from a few hundred meters up to 2,500 m (Shannon and Davis 1930, Wolfinsohn and Galun 1953, Ba et al 2006). For each pathogen, we defined a relevant spatiotemporal window to define contacts that could lead to infectious contacts and pathogen transmission, should one of the individuals excrete the target pathogen at the time of the contact (Table 1).…”

Section: Methodsmentioning

confidence: 99%

Inter‐Group Social Behavior, Contact Patterns and Risk for Pathogen Transmission in Cape Buffalo Populations

et al. 2021

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In social species, the transmission and maintenance of infectious diseases depends on the contact patterns between individuals within groups and on the interactions between groups. In southern Africa, the Cape buffalo (Syncerus caffer caffer) is a vector for many pathogens that can infect sympatric livestock. Although intra‐group contact patterns of Cape buffalo have been relatively well described, how groups interact with each other and risks for pathogen transmission remain poorly understood. We identified and compared spatial behavior and contact patterns between neighboring groups of Cape buffalo under contrasting environments: within the seasonally flooded environment of the Okavango Delta in Botswana and the semi‐arid environment of northern Kruger National Park in South Africa. We used telemetry data collected between 2007 and 2015 from 10 distinct groups. We estimated seasonal overlap and proximity between home ranges of pairwise neighboring groups, and we quantified seasonal contact patterns between these groups. We defined contact patterns within variable spatiotemporal windows compatible with the transmission of diseases carried by the Cape buffalo: bovine tuberculosis, brucellosis, and Rift Valley fever (mosquito‐borne transmission). We examined the effects of habitat and distance to water on contact location. In both study populations, neighboring buffalo groups were highly spatially segregated in the dry and rainy seasons. Inter‐group contact patterns were characterized by very few direct and short‐term indirect (within 0–2 days) contacts, lasting on average 1 hour and 2 hours, respectively. Contact patterns were generally consistent across populations and seasons, suggesting species‐specific behavior. In the drier study site, the probability of indirect and vector‐borne contacts generally decreased during the dry season with increasing distance to water. In the seasonally flooded area, only the probability of vector‐borne contact decreased with increasing distance to water. Our results highlight the importance of dry season water availability in influencing the dynamics of indirectly transmitted Cape buffalo pathogens but only in areas with low water availability. The results from this study have important implications for future modeling of pathogen dynamics in a single host, and the ecology and management of Cape buffalo at the landscape level. © 2021 The Authors. The Journal of Wildlife Management published by Wiley Periodicals LLC on behalf of The Wildlife Society.

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“…Our findings are broadly consistent with the results of several MRR studies in Ae. aegypti adults (Shannon and Davis, 1930;Reiter et al, 1995;Honório et al, 2003;Reiter, 2007), and suggest that this method provides an alternative to MRR for studying dispersal.…”

Section: Long-distance Movementmentioning

confidence: 99%

“…We can compare this distance to those obtained from the traditional approaches such mark-release-recapture (MRR) studies with fluorescent dust marking. MMR studies have produced a wide range of estimates for female flight distance, ranging from 50-100 m (McDonald, 1977;Muir and Kay, 1998;Harrington et al, 2005;Russell et al, 2005;Maciel-de-Freitas et al, 2007;2010) to over 800 m within a single gonotrophic cycle (Shannon and Davis, 1930;Reiter et al, 1995;Honório et al, 2003).…”

Section: The Interaction Between Costs and Benefits Produces A Criticmentioning

confidence: 99%

“…Our findings are broadly consistent with the results of several MRR studies 489 in Ae. aegypti adults (Shannon and Davis, 1930;Reiter et al, 1995;Honório et al, 2003;Reiter, 2007), 490 and suggest that this method provides an alternative to MRR for studying dispersal. 491 study were eclosed from eggs that had spent days in the field before collection, potentially exposing 500 them to stressors such as high heat fluctuations, which have been observed to affect wMel 501 transmission in laboratory populations (Ross et al, 2017).…”

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confidence: 99%

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Fine-scale landscape genomics helps explain the slow spread ofWolbachiathrough theAedes aegyptipopulation in Cairns, Australia

Schmidt

Filipović

Hoffmann

et al. 2017

Preprint

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The endosymbiotic bacterium Wolbachia suppresses the capacity for arboviral transmission in the mosquito Aedes aegypti, and can spread through wild mosquito populations following local introductions. Recent introductions in Cairns, Australia have demonstrated slower than expected spread, that could be due to: i) barriers to Ae. aegypti dispersal; ii) leptokurtically distributed dispersal distances; and iii) intergenerational loss of Wolbachia. We investigated these three potential causes using genome-wide single-nucleotide polymorphisms (SNPs) and an assay for the Wolbachia infection wMel in 161 Ae. aegypti collected from Cairns in 2015. We observed a significant barrier effect of Cairns highways on Ae. aegypti dispersal using distance-based redundancy analysis and patch-based simulation analysis. We detected putative full-siblings in ovitraps 1312m apart, suggesting long-distance female movement likely mediated by human transport. Finally, we found a pair of full-siblings of different infection status, suggesting loss of Wolbachia in the field. While the long-distance movement and Wolbachia loss currently represent single observations, these findings together with the identified dispersal barriers can contribute to the slow spread of Wolbachia through the Ae. aegypti population in Cairns. Our landscape genomics approach can be extended to other host/symbiont systems that are being considered for biocontrol.

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The Flight of Stegomyia Aegypti (L.) 1

Cited by 15 publications

References 0 publications

Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes aegypti

Local introduction and heterogeneous spatial spread of dengue-suppressing Wolbachia through an urban population of Aedes aegypti

Inter‐Group Social Behavior, Contact Patterns and Risk for Pathogen Transmission in Cape Buffalo Populations

Fine-scale landscape genomics helps explain the slow spread ofWolbachiathrough theAedes aegyptipopulation in Cairns, Australia

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