Literature DB >> 18548311

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

Jeffrey A Riffell1, Leif Abrell, John G Hildebrand.   

Abstract

Odor-mediated insect navigation in airborne chemical plumes is vital to many ecological interactions, including mate finding, flower nectaring, and host locating (where disease transmission or herbivory may begin). After emission, volatile chemicals become rapidly mixed and diluted through physical processes that create a dynamic olfactory environment. This review examines those physical processes and some of the analytical technologies available to characterize those behavior-inducing chemical signals at temporal scales equivalent to the olfactory processing in insects. In particular, we focus on two areas of research that together may further our understanding of olfactory signal dynamics and its processing and perception by insects. First, measurement of physical atmospheric processes in the field can provide insight into the spatiotemporal dynamics of the odor signal available to insects. Field measurements in turn permit aspects of the physical environment to be simulated in the laboratory, thereby allowing careful investigation into the links between odor signal dynamics and insect behavior. Second, emerging analytical technologies with high recording frequencies and field-friendly inlet systems may offer new opportunities to characterize natural odors at spatiotemporal scales relevant to insect perception and behavior. Characterization of the chemical signal environment allows the determination of when and where olfactory-mediated behaviors may control ecological interactions. Finally, we argue that coupling of these two research areas will foster increased understanding of the physicochemical environment and enable researchers to determine how olfactory environments shape insect behaviors and sensory systems.

Mesh:

Year:  2008        PMID: 18548311      PMCID: PMC2778261          DOI: 10.1007/s10886-008-9490-7

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


  45 in total

Review 1.  Chemical signaling processes in the marine environment.

Authors:  R K Zimmer; C A Butman
Journal:  Biol Bull       Date:  2000-04       Impact factor: 1.818

2.  Mapping the air in real-time to visualize the flow of gases and vapors: occupational and environmental applications.

Authors:  L A Todd
Journal:  Appl Occup Environ Hyg       Date:  2000-01

3.  Reiterative responses to single strands of odor promote sustained upwind flight and odor source location by moths.

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

Review 4.  Fast gas chromatography and its use in trace analysis.

Authors:  Eva Matisová; Milena Dömötörová
Journal:  J Chromatogr A       Date:  2003-06-06       Impact factor: 4.759

5.  Turbulent transfer in a deciduous forest.

Authors:  D D Baldocchi
Journal:  Tree Physiol       Date:  1989-09       Impact factor: 4.196

6.  Laser ionisation mass spectrometry for on-line analysis of complex gas mixtures and combustion effluents.

Authors:  Ralf Zimmermann
Journal:  Anal Bioanal Chem       Date:  2005-01       Impact factor: 4.142

7.  Rapid in vivo fingerprinting of nonvolatile compounds in breath by extractive electrospray ionization quadrupole time-of-flight mass spectrometry.

Authors:  Huanwen Chen; Arno Wortmann; Weihua Zhang; Renato Zenobi
Journal:  Angew Chem Int Ed Engl       Date:  2007       Impact factor: 15.336

8.  A new method for wide frequency range dynamic olfactory stimulation and characterization.

Authors:  Andrew S French; Shannon Meisner
Journal:  Chem Senses       Date:  2007-06-12       Impact factor: 3.160

9.  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

10.  Antennal resolution of pulsed pheromone plumes in three moth species.

Authors:  Josep Bau; Kristine A. Justus; Ring T. Cardé
Journal:  J Insect Physiol       Date:  2002-04       Impact factor: 2.354

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  41 in total

1.  Time and intensity factors in identification of components of odor mixtures.

Authors:  Marion E Frank; Holly F Goyert; Thomas P Hettinger
Journal:  Chem Senses       Date:  2010-08-18       Impact factor: 3.160

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

3.  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

4.  Stereo and serial sniffing guide navigation to an odour source in a mammal.

Authors:  Kenneth C Catania
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

Review 5.  Mixture and odorant processing in the olfactory systems of insects: a comparative perspective.

Authors:  Marie R Clifford; Jeffrey A Riffell
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-05-10       Impact factor: 1.836

6.  Sniff-synchronized, gradient-guided olfactory search by freely moving mice.

Authors:  Teresa M Findley; David G Wyrick; Jennifer L Cramer; Morgan A Brown; Blake Holcomb; Robin Attey; Dorian Yeh; Eric Monasevitch; Nelly Nouboussi; Isabelle Cullen; Jeremea O Songco; Jared F King; Yashar Ahmadian; Matthew C Smear
Journal:  Elife       Date:  2021-05-04       Impact factor: 8.140

7.  Antagonism in olfactory receptor neurons and its implications for the perception of odor mixtures.

Authors:  Gautam Reddy; Joseph D Zak; Massimo Vergassola; Venkatesh N Murthy
Journal:  Elife       Date:  2018-04-24       Impact factor: 8.140

8.  Controlling and measuring dynamic odorant stimuli in the laboratory.

Authors:  Srinivas Gorur-Shandilya; Carlotta Martelli; Mahmut Demir; Thierry Emonet
Journal:  J Exp Biol       Date:  2019-11-29       Impact factor: 3.312

9.  Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli.

Authors:  Srinivas Gorur-Shandilya; Mahmut Demir; Junjiajia Long; Damon A Clark; Thierry Emonet
Journal:  Elife       Date:  2017-06-28       Impact factor: 8.140

10.  Neural correlates of behavior in the moth Manduca sexta in response to complex odors.

Authors:  Jeffrey A Riffell; H Lei; John G Hildebrand
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-11       Impact factor: 11.205

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