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Naturwissenschaften

, Volume 91, Issue 8, pp 386–390 | Cite as

Circadian consequences of social organization in the ant species Camponotus compressus

  • Vijay Kumar SharmaEmail author
  • Shahnaz Rahman Lone
  • Anubhuthi Goel
  • M. K. Chandrashekaran
Short Communication

Abstract

The locomotor activity rhythm of different castes of the ant species Camponotus compressus was monitored individually under laboratory light/dark (LD) cycles, and under continuous darkness (DD). The colony of this ant species comprises two sexual castes, the queens and the males, and three worker castes, namely the major, media, and minor workers. The virgin males and virgin queens display rhythmic activity patterns, but the mated queens were arrhythmic while laying eggs, with the rhythmicity resuming soon after egg-laying. Under the LD regime, major workers showed nocturnal patterns, while about 75% of the media workers displayed nocturnal patterns and about 25% showed diurnal patterns. Under the DD regime, most major workers exhibited circadian rhythm of activity with a single steady state, whereas media workers displayed two types of activity patterns, with activity patterns changing after 6–9 days in DD (turn-arounds). The pre-turn-around τ of the ants that showed nocturnal activity patterns during LD entrainment was <24 h after release into DD, which then became >24 h, after 6–9 days. On the other hand, the pre-turn-around τ of those ants that exhibited diurnal patterns during LD entrainment was first >24 h after release into DD, and then became <24 h, after 6–9 days. The activity of the minor workers neither entrained to LD cycles nor showed any sign of free-run in DD. It appears that the circadian clocks of the ant species C. compressus are flexible, and may perhaps depend upon the tasks assigned to them in the colony.

Keywords

Locomotor Activity Circadian Rhythm Circadian Clock Minor Worker Media Worker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We acknowledge the Department of Science and Technology, Government of India for financially supporting this project. We thank Prof. Raghavendra Gadagkar, Bangalore, for his help and encouragement during the entire project. We thank three anonymous reviewers for carefully reading the manuscript and suggesting improvements.

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Vijay Kumar Sharma
    • 1
    Email author
  • Shahnaz Rahman Lone
    • 1
  • Anubhuthi Goel
    • 1
  • M. K. Chandrashekaran
    • 1
  1. 1.Chronobiology Laboratory, Evolutionary and Organismal Biology UnitJawaharlal Nehru Centre for Advanced Scientific Research560 064, BangaloreIndia

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