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Insectes Sociaux

, Volume 65, Issue 4, pp 649–656 | Cite as

Social and private information influence the decision making of Australian meat ants (Iridomyrmex purpureus)

  • E. J. T. Middleton
  • C. R. Reid
  • R. P. Mann
  • T. Latty
Research Article

Abstract

For social animals, decision-making is influenced by both social information provided by the group, and private information based on the individual’s personal experience. Social insects make excellent study systems for understanding how social and private information is used by individuals to influence their navigational route choice, and thereby influence the collective decision-making strategy of the group. Using colonies of the Australian meat ant, Iridomyrmex purpureus, we demonstrate that when individual workers are trained to a rewarding arm in a Y maze, the trained ants use private information (memory) in route choice when social information (trail pheromone) is experimentally removed and have no preference when private information and social information are in direct conflict with each other. Additional experience did not provide a strong training effect, such that ants returning after their first training trip tended to choose the path they had been trained on (private information) and subsequent trips did not have a significant additional effect on this initial preference.

Keywords

Collective decision-making Trail pheromone Route memory Private information Public information Synergy 

Notes

Acknowledgements

We would like to thank Michael Duncan for logistical support.

Funding

This research was funded by a Branco Weiss Society Science grant and an Australian Research Council discovery grant (to TL).

Compliance with ethical standards

Conflict of interest

We have no competing interests.

Supplementary material

40_2018_656_MOESM1_ESM.docx (19 kb)
Supplementary Table 1. Results of the absolute and relative coding regression analysis for Experiment 1; bold indicates significant values (p < 0.05) (DOCX 19 KB)
40_2018_656_MOESM2_ESM.docx (14 kb)
Supplementary Table 2. Results of mixed effects logistic regression model for Experiment 2; bold indicates significant values (p < 0.05) (DOCX 14 KB)

References

  1. Abbott KR, Dukas R (2009) Honeybees consider flower danger in their waggle dance. Anim Behav 78:633–635CrossRefGoogle Scholar
  2. Andrew NR, Hart RA, Jung M-P, Hemmings Z, Terblanche JS (2013) Can temperate insects take the heat? A case study of the physiological and behavioural responses in a common ant, Iridomyrmex purpureus (Formicidae), with potential climate change. J Insect Physiol 59:870–880CrossRefGoogle Scholar
  3. Aron S, Pasteels JM, Deneubourg JL (1989) Trail-laying behaviour during exploratory recruitment in the Argentine ant, Iridomyrmex humilis (Mayr). Biol Behav 14:207–217Google Scholar
  4. Aron S, Beckers R, Deneubourg J-L, Pasteels J (1993) Memory and chemical communication in the orientation of two mass-recruiting ant species. Insectes Sociaux 40:369–380CrossRefGoogle Scholar
  5. Banks AN, Srygley RB (2003) Orientation by magnetic field in leaf-cutter ants, Atta colombica (Hymenoptera: Formicidae). Ethology 109:835–846CrossRefGoogle Scholar
  6. Beckers R, Deneubourg J, Goss S, Pasteels J (1990) Collective decision making through food recruitment. Insectes Sociaux 37:258–267CrossRefGoogle Scholar
  7. Buehlmann C, Hansson BS, Knaden M (2012) Desert ants learn vibration and magnetic landmarks. PLoS One 7:e33117CrossRefGoogle Scholar
  8. Campbell ML, Clarke PJ (2006) Seed dynamics of resprouting shrubs in grassy woodlands: seed rain, predators and seed loss constrain recruitment potential. Austral Ecol 31:1016–1026CrossRefGoogle Scholar
  9. Card A, McDermott C, Narendra A (2016) Multiple orientation cues in an Australian trunk-trail-forming ant, Iridomyrmex purpureus. Aust J Zool 64:227–232CrossRefGoogle Scholar
  10. Cheng K, Middleton EJT, Wehner R (2012) Vector-based and landmark-guided navigation in desert ants of the same species inhabiting landmark-free and landmark-rich environments. J Exp Biol 215:3169–3174CrossRefGoogle Scholar
  11. Collett T (1996) Insect navigation en route to the goal: multiple strategies for the use of landmarks. J Exp Biol 199:227–235CrossRefGoogle Scholar
  12. Collett TS, Collett M (2002) Memory use in insect visual navigation. Nat Rev Neurosci 3:542–552CrossRefGoogle Scholar
  13. Czaczkes TJ, Grüter C, Jones SM, Ratnieks FL (2011) Synergy between social and private information increases foraging efficiency in ants. Biol Lett 7:521–524CrossRefGoogle Scholar
  14. Dechaume-Moncharmont F-X, Dornhaus A, Houston AI, McNamara JM, Collins EJ, Franks NR (2005) The hidden cost of information in collective foraging. Proc R Soc Lond B Biol Sci 272:1689–1695CrossRefGoogle Scholar
  15. Elizalde L, Farji-Brener A (2012) To be or not to be faithful: flexible fidelity to foraging trails in the leaf-cutting ant Acromyrmex lobicornis. Ecol Entomol 37:370–376CrossRefGoogle Scholar
  16. Evison SE, Petchey OL, Beckerman AP, Ratnieks FL (2008) Combined use of pheromone trails and visual landmarks by the common garden ant Lasius niger. Behav Ecol Sociobiol 63:261–267CrossRefGoogle Scholar
  17. Goss S, Aron S, Deneubourg J, Pasteels J (1989) Self-organized shortcuts in the Argentine ant. Naturwissenschaften 76:579–581CrossRefGoogle Scholar
  18. Gould JL (1984) Magnetic field sensitivity in animals. Annu Rev Physiol 46:585–598CrossRefGoogle Scholar
  19. Graham P, Cheng K (2009) Ants use the panoramic skyline as a visual cue during navigation. Curr Biol 19:R935–R937CrossRefGoogle Scholar
  20. Greaves T, Hughes R (1974) The population biology of the meat ant. Aust J Entomol 13:329–351CrossRefGoogle Scholar
  21. Grüter C, Leadbeater E (2014) Insights from insects about adaptive social information use. Trends Ecol Evol 29:177–184CrossRefGoogle Scholar
  22. Grüter C, Ratnieks FLW (2011) Honeybee foragers increase the use of waggle dance information when private information becomes unrewarding. Anim Behav 81:949–954CrossRefGoogle Scholar
  23. Grüter C, Balbuena MS, Farina WM (2008) Informational conflicts created by the waggle dance. Proc R Soc Lond B Biol Sci 275:1321–1327CrossRefGoogle Scholar
  24. Grüter C, Czaczkes T, Ratnieks FW (2011) Decision making in ant foragers (Lasius niger) facing conflicting private and social information. Behav Ecol Sociobiol 65:141–148CrossRefGoogle Scholar
  25. Harrison JF, Fewell JH, Stiller TM, Breed MD (1989) Effects of experience on use of orientation cues in the giant tropical ant. Anim Behav 37:869–871CrossRefGoogle Scholar
  26. Laland KN (2004) Social learning strategies. Anim Learn Behav 32:4–14CrossRefGoogle Scholar
  27. Latty T, Beekman M (2013) Keeping track of changes: the performance of ant colonies in dynamic environments. Anim Behav 85:637–643CrossRefGoogle Scholar
  28. Letendre K, Moses ME (2013) Synergy in ant foraging strategies: memory and communication alone and in combination. In: Proceedings of the 15th annual conference on genetic and evolutionary computation. ACM, pp 41–48Google Scholar
  29. Mobbs CJ, Tedder G, Wade AM, Williams R (1978) A note on food and foraging in relation to temperature in the meat ant Iridomyrmex purpureus form viridiaeneus. Aust J Entomol 17:193–197CrossRefGoogle Scholar
  30. Perna A, Latty T (2014) Animal transportation networks. J R Soc Interface 11:20140334CrossRefGoogle Scholar
  31. Ramsch K, Reid CR, Beekman M, Middendorf M (2012) A mathematical model of foraging in a dynamic environment by trail-laying Argentine ants. J Theor Biol 306:32–45CrossRefGoogle Scholar
  32. Reid CR, Sumpter DJT, Beekman M (2011) Optimisation in a natural system: Argentine ants solve the Towers of Hanoi. J Exp Biol 214:50–58CrossRefGoogle Scholar
  33. Reid CR, Latty T, Beekman M (2012) Making a trail: informed Argentine ants lead colony to the best food by U-turning coupled with enhanced pheromone laying. Anim Behav 84:1579–1587CrossRefGoogle Scholar
  34. Ruano F, Tinaut A, Soler, José J (2000) High surface temperatures select for individual foraging in ants. Behav Ecol 11:396–404CrossRefGoogle Scholar
  35. Seeley TD, Camazine S, Sneyd J (1991) Collective decision-making in honey bees: how colonies choose among nectar sources. Behav Ecol Sociobiol 28:277–290CrossRefGoogle Scholar
  36. Seeley TD, Mikheyev AS, Pagano GJ (2000) Dancing bees tune both duration and rate of waggle-run production in relation to nectar-source profitability. J Comp Physiol A 186:813–819CrossRefGoogle Scholar
  37. Shattuck S (2000) Australian ants: their biology and identification. CSIRO Publishing, ClaytonGoogle Scholar
  38. van Wilgenburg E, Elgar MA (2007) Colony structure and spatial distribution of food resources in the polydomous meat ant Iridomyrmex purpureus. Insectes Sociaux 54:5–10CrossRefGoogle Scholar
  39. Van Oudenhove L, Billoir E, Boulay R, Bernstein C, Cerdá X (2011) Temperature limits trail following behaviour through pheromone decay in ants. Naturwissenschaften 98:1009–1017CrossRefGoogle Scholar
  40. von Thienen W, Metzler D, Witte V (2016) How memory and motivation modulate the responses to trail pheromones in three ant species. Behav Ecol Sociobiol 70:393CrossRefGoogle Scholar
  41. Warrant E, Dacke M (2016) Visual navigation in nocturnal insects. Physiology 31:182–192CrossRefGoogle Scholar
  42. Wehner R (1984) Astronavigation in insects. Annu Rev Entomol 29:277–298CrossRefGoogle Scholar
  43. Wolf H (2011) Odometry and insect navigation. J Exp Biol 214:1629–1641CrossRefGoogle Scholar

Copyright information

© International Union for the Study of Social Insects (IUSSI) 2018

Authors and Affiliations

  • E. J. T. Middleton
    • 1
  • C. R. Reid
    • 2
  • R. P. Mann
    • 3
  • T. Latty
    • 1
  1. 1.School of Life and Environmental Sciences, Faculty of Agriculture and EnvironmentThe University of SydneySydneyAustralia
  2. 2.Department of Biological SciencesMacquarie UniversitySydneyAustralia
  3. 3.Department of Statistics, School of MathematicsUniversity of LeedsLeedsUK

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