Literature DB >> 10529521

Modality-specific segregation of input to ant mushroom bodies.

W Gronenberg1.   

Abstract

The mushroom bodies are central brain neuropils involved in the control of complex behavior. In ants, the mushroom bodies are relatively large compared to those of honey bees, whereas the optic lobes of ants are considerably smaller. The general morphology of ant mushroom bodies is similar to that of honey bees. As in other Hymenoptera, the main input region of the mushroom bodies, the calyx, is subdivided into three compartments: the lip, the collar, and the basal ring. In many ant species this compartmentalization is not obvious and can only be visualized using neuronal tracers. The lip region receives antennal input and is large in all ant species. It appears to be composed of at least two different regions that have not yet been characterized in detail. The collar is large in other Hymenoptera, yet in ant workers it varies in size and is always much smaller than the lip region. The collar receives visual input and is relatively larger in males, which generally are more dependant on vision than are workers. The basal ring receives input from both the optic and antennal lobes. In one ant tribe, the Ponerini, the collar region appears to have changed its position, but based on afferent input it appears to be homologous to the hymenopteran collar. Generally, the composition of the mushroom body calyx correlates with the living conditions of ants, reflecting the great importance of olfaction and the lesser and more variable significance of vision for workers of the observed ant species.

Entities:  

Mesh:

Year:  1999        PMID: 10529521     DOI: 10.1159/000006615

Source DB:  PubMed          Journal:  Brain Behav Evol        ISSN: 0006-8977            Impact factor:   1.808


  16 in total

1.  The organization of the antennal lobe correlates not only with phylogenetic relationship, but also life history: a Basal hymenopteran as exemplar.

Authors:  Andrew M Dacks; Alan J Nighorn
Journal:  Chem Senses       Date:  2010-11-08       Impact factor: 3.160

2.  Into the black and back: the ecology of brain investment in Neotropical army ants (Formicidae: Dorylinae).

Authors:  S Bulova; K Purce; P Khodak; E Sulger; S O'Donnell
Journal:  Naturwissenschaften       Date:  2016-03-08

3.  Electrical potentials indicate stimulus expectancy in the brains of ants and bees.

Authors:  Fidel Ramón; Wulfila Gronenberg
Journal:  Cell Mol Neurobiol       Date:  2005-03       Impact factor: 5.046

Review 4.  Multisensory control of navigation in the fruit fly.

Authors:  Timothy A Currier; Katherine I Nagel
Journal:  Curr Opin Neurobiol       Date:  2019-12-14       Impact factor: 6.627

5.  Social complexity influences brain investment and neural operation costs in ants.

Authors:  J Frances Kamhi; Wulfila Gronenberg; Simon K A Robson; James F A Traniello
Journal:  Proc Biol Sci       Date:  2016-10-26       Impact factor: 5.349

Review 6.  The foraging gene, behavioral plasticity, and honeybee division of labor.

Authors:  Y Ben-Shahar
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-11-04       Impact factor: 1.836

Review 7.  Multisensory integration of colors and scents: insights from bees and flowers.

Authors:  Anne S Leonard; Pavel Masek
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-04-08       Impact factor: 1.836

8.  Calcium imaging in the ant Camponotus fellah reveals a conserved odour-similarity space in insects and mammals.

Authors:  Fabienne Dupuy; Roxana Josens; Martin Giurfa; Jean-Christophe Sandoz
Journal:  BMC Neurosci       Date:  2010-02-26       Impact factor: 3.288

Review 9.  Insights into the molecular basis of social behaviour from studies on the honeybee, Apis mellifera.

Authors:  Rachel Denison; Valérie Raymond-Delpech
Journal:  Invert Neurosci       Date:  2008-02-15

10.  Dimorphic olfactory lobes in the arthropoda.

Authors:  Nicholas Strausfeld; Carolina E Reisenman
Journal:  Ann N Y Acad Sci       Date:  2009-07       Impact factor: 5.691

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