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A general model of hormesis in biological systems and its application to pest management

  • Sanyi Tang
  • , Juhua Liang
  • , Changcheng Xiang
  • , Yanni Xiao
  • , Xia Wang
  • , Jianhong Wu
  • , Guoping Li
  • , Robert A. Cheke
  • Shaanxi Normal University
  • Hubei University for Nationalities
  • York University Toronto
  • Henan Academy of Agricultural Sciences
  • University of Greenwich
  • Imperial College London

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Hormesis, a phenomenon whereby exposure to high levels of stressors is inhibitory but low (mild, sublethal and subtoxic) doses are stimulatory, challenges decision-making in the management of cancer, neurodegenerative diseases, nutrition and ecotoxicology. In the latter, increasing amounts of a pesticide may lead to upsurges rather than declines of pests, ecological paradoxes that are difficult to predict. Using a novel re-formulation of the Ricker population equation, we show how interactions between intervention strengths and dose timings, dose-response functions and intrinsic factors can model such paradoxes and hormesis. A model with three critical parameters revealed hormetic biphasic dose and dose timing responses, either in a J-shape or an inverted U-shape, yielding a homeostatic change or a catastrophic shift and hormetic effects in many parameter regions. Such effects were enhanced by repeated pulses of low-level stimulations within one generation at different dose timings, thereby reducing threshold levels, maximum responses and inhibition. The model provides insights into the complex dynamics of such systems and a methodology for improved experimental design and analysis, with wide-reaching implications for understanding hormetic effects in ecology and in medical and veterinary treatment decision-making. We hypothesized that the dynamics of a discrete generation pest control system can be determined by various three-parameter spaces, some of which reveal the conditions for occurrence of hormesis, and confirmed this by fitting our model to both hormetic data from the literature and to a non-hormetic dataset on pesticidal control of mirid bugs in cotton.

Original languageEnglish
Article number20190468
JournalJournal of the Royal Society Interface
Volume16
Issue number157
DOIs
StatePublished - 1 Aug 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Apolygus lucorum
  • Complex dynamics
  • Ecological paradox
  • Pest control
  • Ricker equation
  • Stability

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