Synergism and Combinatorial Coding for Binary Odor Mixture Perception in<i>Drosophila</i>

Kundu, Srikanya; Ganguly, Anindya; Chakraborty, Tuhin S.; Kumar, Arun; Siddiqi, Obaid

doi:10.1523/eneuro.0056-14.2016

Cited by 16 publications

(15 citation statements)

References 49 publications

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“…These results suggest: (i) mixtures of odorants exhibited improved attractiveness to mosquitoes relative to single odorants; and (ii) the odor mixtures work in a manner that is largely dependent on both the proportion and dilution of the ingredient. Our findings are consistent with the synergism and combinatorial coding for mixture perception reported for Drosophila [40].…”

Section: Discussionsupporting

confidence: 92%

Enhancing attraction of the vector mosquito Aedes albopictus by using a novel synthetic odorant blend

Xie

Yang

et al. 2019

Parasites Vectors

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Background The Asian tiger mosquito, Aedes albopictus , an increasingly relevant arboviral vector, has spread worldwide. However, currently available tools are limited in terms of effective monitoring of vector populations and accurate determination of the extent of viral transmission, especially before and during outbreaks. Therefore, it is essential to develop novel monitoring and surveillance tools, particularly those that target adult mosquitoes and enhance the trapping efficiency for Ae. albopictus . Methods A variety of human body odorants associated with different types of mosquito olfactory receptors were selected, and their attractiveness to Ae. albopictus was tested by a four-arm olfactometer. The optimal compatibility and proportion of the odorants, Mix-5, was observed via orthogonal design analyses. The attractiveness of Mix-5 to Ae. albopictus in the laboratory was assessed using Mosq-ovitraps and Electric Mosquito Killers. In the field, the effectiveness of generic BG-Lure, Mix-5 and a control treatment was compared with a baited Biogents Sentinel trap (BGS-trap) using a Latin square design. Results In the olfactometer experiments, the attractiveness of the selected candidate compounds at varying dilutions was poor when the individual compounds were used alone. The optimal combination, Mix-5, was generated based on orthogonal design analyses. In the laboratory, the average numbers of female Ae. albopictus mosquitoes attracted by the synthetic odorant blend Mix-5 were 27.00 and 27.50, compared with 12.00 and 14.83 for the control, when using Mosq-ovitraps and Electric Mosquito Killers, respectively. In the field, the average number of Ae. albopictus female mosquitoes trapped by Mix-5 was 9.67 females/trap, whereas the average numbers for BG-Lure and the control were 7.78 and 4.47, respectively. The lure also played an important role in attracting Culex quinquefasciatus mosquitoes, and the average numbers of Cx. quinquefasciatus female mosquitoes attracted by Mix-5, BG-Lure and the control were 18.78, 25.11 and 12.22, respectively. Conclusions A human odor-based bait blend was developed and exhibited enhanced effectiveness at attracting Ae. albopictus This blend can be used to monitor and trap dengue vector mosquitoes in Chinese cities. Electronic supplementary material The online version of this article (10.1186/s13071-019-3646-x) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 92%

Enhancing attraction of the vector mosquito Aedes albopictus by using a novel synthetic odorant blend

Xie

Yang

et al. 2019

Parasites Vectors

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“…Previously, Rospars et al (9) found that responses of olfactory receptor neurons to some simple binary mixtures were largely consistent with a similar model and could display both hyper- and hypoadditivity. Related results for binary mixtures have also been reported for neurons in the accessory olfactory system (10) and in the antennal lobes of Drosophila (11) and locust (12). Cruz and Lowe (13) subsequently developed a biophysically motivated version of this model and applied it to glomerular imaging.…”

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confidence: 66%

Competitive binding predicts nonlinear responses of olfactory receptors to complex mixtures

Singh

Murphy

Balasubramanian

et al. 2019

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

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In color vision, the quantitative rules for mixing lights to make a target color are well understood. By contrast, the rules for mixing odorants to make a target odor remain elusive. A solution to this problem in vision relied on characterizing receptor responses to different wavelengths of light and subsequently relating these responses to perception. In olfaction, experimentally measuring receptor responses to a representative set of complex mixtures is intractable due to the vast number of possibilities. To meet this challenge, we develop a biophysical model that predicts mammalian receptor responses to complex mixtures using responses to single odorants. The dominant nonlinearity in our model is competitive binding (CB): Only one odorant molecule can attach to a receptor binding site at a time. This simple framework predicts receptor responses to mixtures of up to 12 monomolecular odorants to within 15% of experimental observations and provides a powerful method for leveraging limited experimental data. Simple extensions of our model describe phenomena such as synergy, overshadowing, and inhibition. We demonstrate that the presence of such interactions can be identified via systematic deviations from the competitive-binding model.

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“…The amount (dose) and proportion of chemical mixtures in compounds can play critical roles in insect response and are important considerations in attractant development [55]. As the commercial lure combination of ingredients (by proportion) was not modified in this study, it was evident that dose alone had a significant effect on responses between the two species.…”

Section: Discussionmentioning

confidence: 67%

Dose–Response Assay for Synthetic Mosquito (Diptera: Culicidae) Attractant Using a High-Throughput Screening System

Kim

Leepasert

Bangs

et al. 2021

Insects

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Natural volatile host cues play a critical role for mosquito orientation and locating a blood source for egg production. Similar olfactory activation responses have allowed the use and development of artificial chemical attractants to lure mosquitoes to trapping devices. Using a pre-formulated commercial product mixture of different attractant chemicals, a high-throughput screening system (HITSS) is used to screen varying doses of chemical required to activate behavioral responses. Two strains of Aedes aegypti (L.): permethrin-susceptible (USDA) and -resistant (Pu Teuy) phenotypes and one Culex quinquefasciatus Say. (NIH) laboratory strain were tested. Overall, mosquitoes showed repellency between 1.0 g and to 10.0 g dose of each compound. However, by progressively reducing the dose, Cx. quinquefasciatus showed a greater positive percent attraction (88.9%) at 0.025 g, whereas the USDA and Pu Teuy Ae. aegypti produced optimum attractant activation at 0.005 g (72.6% and 58.9%, respectively) without significant difference within species (p > 0.05). In parallel control assays, Cx. quinquefasciatus was significantly attracted to 1 g of dry ice (carbon dioxide) (76%) more than Ae. aegypti (USDA) (12.2%). The HITSS was originally designed to measure three chemical actions to sublethal concentrations of chemicals by mosquitoes: toxicity and the two primary behavior avoidance responses (contact excitation and spatial repellency). These findings demonstrate that the HITSS assay, with only minor modifications, allows comparison screening of candidate compounds as potential attractants for anemotactic responses under laboratory-controlled conditions. Further investigations will be required to equate measurements obtained from controlled laboratory assays to more varied field conditions for attracting natural mosquito populations.

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Synergism and Combinatorial Coding for Binary Odor Mixture Perception inDrosophila

Abstract: Visual Abstract

Cited by 16 publications

References 49 publications

Enhancing attraction of the vector mosquito Aedes albopictus by using a novel synthetic odorant blend

Enhancing attraction of the vector mosquito Aedes albopictus by using a novel synthetic odorant blend

Competitive binding predicts nonlinear responses of olfactory receptors to complex mixtures

Dose–Response Assay for Synthetic Mosquito (Diptera: Culicidae) Attractant Using a High-Throughput Screening System

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