Literature DB >> 15671334

Variation in morphology and performance of predator-sensing system in wild cricket populations.

Olivier Dangles1, Christelle Magal, Dominique Pierre, Aurélie Olivier, Jérôme Casas.   

Abstract

Even though variation in morphology is known to translate into variation in performance, studies looking at structural variability of a sensor to predict its consequences on the performance of animals are exceedingly rare. We investigated the morphological variability of air-flow-sensing receptors in wild populations of wood crickets (Nemobius sylvestris) sampled in a wide variety of habitats differing in latitude, litter structure, vegetation and predator communities. These hair receptors act as predator sensors. The observed levels of hair morphological variation were then incorporated into a biomechanical model of the hair canopy response to air flow to predict their influence on cricket predator perception. Cricket populations differ from each other, often strongly so, in the total number of hairs and in the number of hairs longer than 1 mm, which are the hairs most sensitive for the perception of approaching predators. The hair canopy response, the output of the biomechanical model, sums up over the entire canopy the angles of deflection at which a neurophysiological response is triggered and represents the sensitivity of the cercal system. It is 35% higher in the most sensitive population, compared with the least sensitive population. These large differences in perception sensitivity for a given predator signal translate into larger distances at which predators could be perceived. Thus, differences in morphology at the sensor level seem to be translated both at the perception level and subsequently at the performance level of crickets.

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Year:  2005        PMID: 15671334     DOI: 10.1242/jeb.01369

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  6 in total

1.  Responses of cricket cercal interneurons to realistic naturalistic stimuli in the field.

Authors:  Fabienne Dupuy; Thomas Steinmann; Dominique Pierre; Jean-Philippe Christidès; Graham Cummins; Claudio Lazzari; John Miller; Jérôme Casas
Journal:  J Exp Biol       Date:  2012-07-15       Impact factor: 3.312

Review 2.  Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective.

Authors:  Fumiya Iida; Surya G Nurzaman
Journal:  Interface Focus       Date:  2016-08-06       Impact factor: 3.906

3.  Quantitative characterization of the filiform mechanosensory hair array on the cricket cercus.

Authors:  John P Miller; Susan Krueger; Jeffrey J Heys; Tomas Gedeon
Journal:  PLoS One       Date:  2011-11-21       Impact factor: 3.240

4.  A novel bioinspired PVDF micro/nano hair receptor for a robot sensing system.

Authors:  Fei Li; Weiting Liu; Cesare Stefanini; Xin Fu; Paolo Dario
Journal:  Sensors (Basel)       Date:  2010-01-26       Impact factor: 3.576

5.  Active sensing system with in situ adjustable sensor morphology.

Authors:  Surya G Nurzaman; Utku Culha; Luzius Brodbeck; Liyu Wang; Fumiya Iida
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

6.  SVAS3: Strain Vector Aided Sensorization of Soft Structures.

Authors:  Utku Culha; Surya G Nurzaman; Frank Clemens; Fumiya Iida
Journal:  Sensors (Basel)       Date:  2014-07-17       Impact factor: 3.576

  6 in total

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