» Articles » PMID: 30917163

Division of Labor and Brain Evolution in Insect Societies: Neurobiology of Extreme Specialization in the Turtle Ant Cephalotes Varians

Overview
Journal PLoS One
Date 2019 Mar 28
PMID 30917163
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Strongly polyphenic social insects provide excellent models to examine the neurobiological basis of division of labor. Turtle ants, Cephalotes varians, have distinct minor worker, soldier, and reproductive (gyne/queen) morphologies associated with their behavioral profiles: small-bodied task-generalist minors lack the phragmotic shield-shaped heads of soldiers, which are specialized to block and guard the nest entrance. Gynes found new colonies and during early stages of colony growth overlap behaviorally with soldiers. Here we describe patterns of brain structure and synaptic organization associated with division of labor in C. varians minor workers, soldiers, and gynes. We quantified brain volumes, determined scaling relationships among brain regions, and quantified the density and size of microglomeruli, synaptic complexes in the mushroom body calyxes important to higher-order processing abilities that may underpin behavioral performance. We found that brain volume was significantly larger in gynes; minor workers and soldiers had similar brain sizes. Consistent with their larger behavioral repertoire, minors had disproportionately larger mushroom bodies than soldiers and gynes. Soldiers and gynes had larger optic lobes, which may be important for flight and navigation in gynes, but serve different functions in soldiers. Microglomeruli were larger and less dense in minor workers; soldiers and gynes did not differ. Correspondence in brain structure despite differences in soldiers and gyne behavior may reflect developmental integration, suggesting that neurobiological metrics not only advance our understanding of brain evolution in social insects, but may also help resolve questions of the origin of novel castes.

Citing Articles

Caste-biased patterns of brain investment in the subterranean termite .

Merchant A, Zhou X iScience. 2024; 27(6):110052.

PMID: 38883809 PMC: 11176635. DOI: 10.1016/j.isci.2024.110052.


AnimalTraits - a curated animal trait database for body mass, metabolic rate and brain size.

Herberstein M, McLean D, Lowe E, Wolff J, Khan M, Smith K Sci Data. 2022; 9(1):265.

PMID: 35654905 PMC: 9163144. DOI: 10.1038/s41597-022-01364-9.


Social Brain Energetics: Ergonomic Efficiency, Neurometabolic Scaling, and Metabolic Polyphenism in Ants.

Coto Z, Traniello J Integr Comp Biol. 2022; .

PMID: 35617153 PMC: 9825342. DOI: 10.1093/icb/icac048.


Active Inferants: An Active Inference Framework for Ant Colony Behavior.

Friedman D, Tschantz A, Ramstead M, Friston K, Constant A Front Behav Neurosci. 2021; 15:647732.

PMID: 34248515 PMC: 8264549. DOI: 10.3389/fnbeh.2021.647732.


Brain Size, Metabolism, and Social Evolution.

Coto Z, Traniello J Front Physiol. 2021; 12:612865.

PMID: 33708134 PMC: 7940180. DOI: 10.3389/fphys.2021.612865.


References
1.
Powell S . How ecology shapes caste evolution: linking resource use, morphology, performance and fitness in a superorganism. J Evol Biol. 2009; 22(5):1004-13. DOI: 10.1111/j.1420-9101.2009.01710.x. View

2.
Kamhi J, Sandridge-Gresko A, Walker C, Robson S, Traniello J . Worker brain development and colony organization in ants: Does division of labor influence neuroplasticity?. Dev Neurobiol. 2017; 77(9):1072-1085. DOI: 10.1002/dneu.22496. View

3.
Warton D, Wright I, Falster D, Westoby M . Bivariate line-fitting methods for allometry. Biol Rev Camb Philos Soc. 2006; 81(2):259-91. DOI: 10.1017/S1464793106007007. View

4.
Molet M, Wheeler D, Peeters C . Evolution of novel mosaic castes in ants: modularity, phenotypic plasticity, and colonial buffering. Am Nat. 2012; 180(3):328-41. DOI: 10.1086/667368. View

5.
Klein A, Andersson J, Ardekani B, Ashburner J, Avants B, Chiang M . Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage. 2009; 46(3):786-802. PMC: 2747506. DOI: 10.1016/j.neuroimage.2008.12.037. View