Literature DB >> 18581182

Navigational strategies used by insects to find distant, wind-borne sources of odor.

Ring T Cardé1, Mark A Willis.   

Abstract

Insects locate many resources important to survival by tracking along wind-borne odor plumes to their source. It is well known that plumes are patchy distributions of high concentration packets of odor interspersed with clean air, not smooth Gaussian distributions of odor intensity. This realization has been crucial to our understanding of plume-tracking behavior, because insect locomotory movements and sensory processing typically take place in the range of tens to hundreds of milliseconds, permitting them to respond to the rapid changes in odor concentration they experience in plumes. Because odor plumes are not comprised of smooth concentration gradients, they cannot provide the directional information necessary to allow plume-tracking insects to steer toward the source. Many experiments have shown that, in the species examined, successful source location requires two sensory inputs: the presence of the attractive odor and the detection of the direction of the wind bearing that odor. All plume-tracking insects use the wind direction as the primary directional cue that enables them to steer their movements toward the odor source. Experimental manipulations of the presence and absence of the odor, and the presence, absence, or direction of the wind during plume tracking, have begun to resolve the relationship between these two sensory inputs and how they shape the maneuvers we observe. Experiments, especially those undertaken in the natural wind and odor environments of the organisms in question and those directed at understanding the neural processing that underlie plume tracking, promise to enhance our understanding of this remarkable behavior.

Mesh:

Year:  2008        PMID: 18581182     DOI: 10.1007/s10886-008-9484-5

Source DB:  PubMed          Journal:  J Chem Ecol        ISSN: 0098-0331            Impact factor:   2.626


  29 in total

1.  Odour-plume dynamics influence the brain's olfactory code.

Authors:  N J Vickers; T A Christensen; T C Baker; J G Hildebrand
Journal:  Nature       Date:  2001-03-22       Impact factor: 49.962

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Authors:  N J Vickers; T C Baker
Journal:  Proc Natl Acad Sci U S A       Date:  1994-06-21       Impact factor: 11.205

3.  Pheromone source location by flying moths: a supplementary non-anemotactic mechanism.

Authors:  T C Baker; L P Kuenen
Journal:  Science       Date:  1982-04-23       Impact factor: 47.728

4.  Upwind searching for an odor plume is sometimes optimal.

Authors:  D B Dusenbery
Journal:  J Chem Ecol       Date:  1990-06       Impact factor: 2.626

5.  Optimal search direction for an animal flying or swimming in a wind or current.

Authors:  D B Dusenbery
Journal:  J Chem Ecol       Date:  1989-11       Impact factor: 2.626

Review 6.  Electrophysiological responses from receptor neurons in mosquito maxillary palp sensilla.

Authors:  A J Grant; R J O'Connell
Journal:  Ciba Found Symp       Date:  1996

7.  Mate location strategies of gypsy moths in dense populations.

Authors:  R T Cardé; T E Hagaman
Journal:  J Chem Ecol       Date:  1984-01       Impact factor: 2.626

8.  Evaluation of time-average dispersion models for estimating pheromone concentration in a deciduous forest.

Authors:  J S Elkinton; R T Cardé; C J Mason
Journal:  J Chem Ecol       Date:  1984-07       Impact factor: 2.626

9.  Electroantennogram and behavioural responses of the malaria vector Anopheles gambiae to human-specific sweat components.

Authors:  C Costantini; M A Birkett; G Gibson; J Ziesmann; N F Sagnon; H A Mohammed; M Coluzzi; J A Pickett
Journal:  Med Vet Entomol       Date:  2001-09       Impact factor: 2.739

Review 10.  Odor-mediated behavior of Afrotropical malaria mosquitoes.

Authors:  W Takken; B G Knols
Journal:  Annu Rev Entomol       Date:  1999       Impact factor: 19.686

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  119 in total

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Authors:  Ana Florencia Silbering; Richard Benton
Journal:  EMBO Rep       Date:  2010-01-29       Impact factor: 8.807

2.  Attraction modulated by spacing of pheromone components and anti-attractants in a bark beetle and a moth.

Authors:  Martin N Andersson; Muhammad Binyameen; Medhat M Sadek; Fredrik Schlyter
Journal:  J Chem Ecol       Date:  2011-07-13       Impact factor: 2.626

Review 3.  Physical processes and real-time chemical measurement of the insect olfactory environment.

Authors:  Jeffrey A Riffell; Leif Abrell; John G Hildebrand
Journal:  J Chem Ecol       Date:  2008-06-12       Impact factor: 2.626

Review 4.  Insect-machine hybrid system for understanding and evaluating sensory-motor control by sex pheromone in Bombyx mori.

Authors:  Ryohei Kanzaki; Ryo Minegishi; Shigehiro Namiki; Noriyasu Ando
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-06-08       Impact factor: 1.836

5.  Insect density-plant density relationships: a modified view of insect responses to resource concentrations.

Authors:  Petter Andersson; Christer Löfstedt; Peter A Hambäck
Journal:  Oecologia       Date:  2013-07-24       Impact factor: 3.225

Review 6.  Sex pheromones and their impact on pest management.

Authors:  Peter Witzgall; Philipp Kirsch; Alan Cork
Journal:  J Chem Ecol       Date:  2010-01-28       Impact factor: 2.626

Review 7.  The use of odors at different spatial scales: comparing birds with fish.

Authors:  Jennifer L DeBose; Gabrielle A Nevitt
Journal:  J Chem Ecol       Date:  2008-06-20       Impact factor: 2.626

8.  Interaction between visual and olfactory cues during host finding in the tomato fruit fly Neoceratitis cyanescens.

Authors:  Thierry Brévault; Serge Quilici
Journal:  J Chem Ecol       Date:  2010-03-05       Impact factor: 2.626

9.  Genetic mapping of male pheromone response in the European corn borer identifies candidate genes regulating neurogenesis.

Authors:  Fotini A Koutroumpa; Astrid T Groot; Teun Dekker; David G Heckel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-03       Impact factor: 11.205

10.  Continuous lateral oscillations as a core mechanism for taxis in Drosophila larvae.

Authors:  Antoine Wystrach; Konstantinos Lagogiannis; Barbara Webb
Journal:  Elife       Date:  2016-10-18       Impact factor: 8.140

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