Social and nutritional factors shape larval aggregation, foraging, and body mass in a polyphagous fly

Juliano Morimoto* (Corresponding Author), Binh Nguyen, Shabnam Tarahi Tabrizi, Fleur Ponton, Phillip Taylor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
6 Downloads (Pure)

Abstract

The majority of insect species have a clearly defined larval stage during development. Larval nutrition is crucial for individuals’ growth and development, and larval foraging success often depends on both resource availability and competition for those resources. To date, however, little is known about how these factors interact to shape larval development and behaviour. Here we manipulated the density of larvae of the polyphagous fruit fly pest Bactrocera tryoni (‘Queensland fruit fly’), and the diet concentration of patches in a foraging arena to address this gap. Using advanced statistical methods of machine learning and linear regression models, we showed that high larval density results in overall high larval aggregation across all diets except in extreme diet dilutions. Larval aggregation was positively associated with larval body mass across all diet concentrations except in extreme diet dilutions where this relationship was reversed. Over time, larvae in low-density arenas also tended to aggregate while those in high-density arenas tended to disperse, an effect that was observed for all diet concentrations. Furthermore, larvae in high-density arenas displayed significant avoidance of low concentration diets – a behaviour that was not observed amongst larvae in low-density arenas. Thus, aggregation can help, rather than hinder, larval growth in high-density environments, and larvae may be better able to explore available nutrition when at high-density than when at low-density.

Original languageEnglish
Article number14750
JournalScientific Reports
Volume8
DOIs
Publication statusPublished - 3 Oct 2018

Bibliographical note

Project Larval diets for high-productivity mass-rearing (HG13045) is funded by the Hort Frontiers Fruit Fly Fund, part of the Hort Frontiers strategic partnership initiative developed by Hort Innovation, with co-investment from Macquarie University and contributions from the Australian Government. We acknowledge Dr Alistair M Senior, University of Sydney, for helpful comments on the statistical analysis using multinomial logistic regression.

Keywords

  • animal behaviour
  • behavioural ecology
  • entomology

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