Literature DB >> 12770126

Motor control of the mandible closer muscle in ants.

Jürgen Paul1, Wulfila Gronenberg.   

Abstract

Despite their simple design, ant mandible movements cover a wide range of forces, velocities and amplitudes. The mandible is controlled by the mandible closer muscle, which is composed of two functionally distinct subpopulations of muscle fiber types: fast fibers (short sarcomeres) and slow ones (long sarcomeres). The entire muscle is controlled by 10-12 motor neurons, 4-5 of which exclusively supply fast muscle fibers. Slow muscle fibers comprise a posterior and an antero-lateral group, each of which is controlled by 1-2 motor neurons. In addition, 3-4 motor neurons control all muscle fibers together. Simultaneous recordings of muscle activity and mandible movement reveal that fast movements require rapid contractions of fast muscle fibers. Slow and subtle movements result from the activation of slow muscle fibers. Forceful movements are generated by simultaneous co-activation of all muscle fiber types. Retrograde tracing shows that most dendritic arborizations of the different sets of motor neurons share the same neuropil in the subesophageal ganglion. In addition, fast motor neurons and neurons supplying the lateral group of slow closer muscle fibers each invade specific parts of the neuropil that is not shared by the other motor neuron groups. Some bilateral overlap between the dendrites of left and right motor neurons exists, particularly in fast motor neurons. The results explain how a single muscle is able to control the different movement parameters required for the proper function of ant mandibles.

Entities:  

Year:  2002        PMID: 12770126     DOI: 10.1016/s0022-1910(01)00171-8

Source DB:  PubMed          Journal:  J Insect Physiol        ISSN: 0022-1910            Impact factor:   2.354


  9 in total

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Journal:  Naturwissenschaften       Date:  2006-12-13

2.  Form-function relationships in dragonfly mandibles under an evolutionary perspective.

Authors:  Alexander Blanke; Helmut Schmitz; Alessandra Patera; Hugo Dutel; Michael J Fagan
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

3.  A mandible arresting system in neotropical social wasps (Vespidae; Polistinae): structural diversity within homogeneous functionality.

Authors:  Sofía López-Cubillos; Carlos E Sarmiento
Journal:  Naturwissenschaften       Date:  2013-04-09

4.  Structure and development of the subesophageal zone of the Drosophila brain. II. Sensory compartments.

Authors:  Sarah Kendroud; Ali A Bohra; Philipp A Kuert; Bao Nguyen; Oriane Guillermin; Simon G Sprecher; Heinrich Reichert; Krishnaswamy VijayRaghavan; Volker Hartenstein
Journal:  J Comp Neurol       Date:  2017-09-28       Impact factor: 3.215

5.  Coming of age in an ant colony: cephalic muscle maturation accompanies behavioral development in Pheidole dentata.

Authors:  Mario L Muscedere; James F A Traniello; Wulfila Gronenberg
Journal:  Naturwissenschaften       Date:  2011-07-27

6.  Zombie ant death grip due to hypercontracted mandibular muscles.

Authors:  Colleen A Mangold; Melissa J Ishler; Raquel G Loreto; Missy L Hazen; David P Hughes
Journal:  J Exp Biol       Date:  2019-07-17       Impact factor: 3.312

7.  3D virtual histology at the host/parasite interface: visualisation of the master manipulator, Dicrocoelium dendriticum, in the brain of its ant host.

Authors:  Daniel Martín-Vega; Amin Garbout; Farah Ahmed; Martina Wicklein; Cameron P Goater; Douglas D Colwell; Martin J R Hall
Journal:  Sci Rep       Date:  2018-06-05       Impact factor: 4.379

8.  Soldier-specific modification of the mandibular motor neurons in termites.

Authors:  Yuki Ishikawa; Hitoshi Aonuma; Toru Miura
Journal:  PLoS One       Date:  2008-07-09       Impact factor: 3.240

9.  Differences in sNPF receptor-expressing neurons in brains of fire ant (Solenopsis invicta Buren) worker subcastes: indicators for division of labor and nutritional status?

Authors:  Paula Castillo; Patricia V Pietrantonio
Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

  9 in total

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