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Hormesis and hydra effects revealed by intraspecific overcompensation models and dose–response curves
File(s)
Author(s)
Tang, Sanyi
Feng, Xin
Yan, Dingding
Liang, Juhua
Liu, Lili
Type
Journal Article
Abstract
Overcompensation, defined as recovery beyond a baseline state, arises from both hormetic and hydra effects, illustrating adaptive responses to stress. The overcompensation framework of a re-evaluated fishery resource management model was examined through nonlinear growth patterns based on logistic or Ricker models, emphasizing population size over carrying capacity. This complete overcompensation model’s threshold conditions reveal an interplay between hydra and hormetic effects. Also, when dividing a population into distinct subgroups, such as susceptible and infected classes in disease transmission, the population size can be modelled as a function of the basic reproduction number (𝑅0). A threshold condition of 𝑅0 allows examination of how disease infectivity triggers hydra or hormetic effects and, also, development of a partial overcompensation model that elucidates the internal mechanisms of overcompensation. Analysis of data from 24 groups of U-shaped or inverted U-shaped dose–response curves validated the dose–response curves. The simplified modelling approach developed revealed the mechanisms underlying hydra and hormetic effects, highlighting the importance of strong growth or regenerative capabilities, overcompensatory responses (strong nonlinearity), mild external stimuli (weak stressors) and the baseline population size. Our new analytical techniques for overcompensation modelling can be adapted to many fields, including tumour treatment and toxicology.
Date Issued
2025-04-01
Date Acceptance
2025-03-26
Citation
Journal of the Royal Society Interface, 2025, 22 (225)
URI
URL
DOI
ISSN
1742-5662
Publisher
The Royal Society
Journal / Book Title
Journal of the Royal Society Interface
Volume
22
Issue
225
Copyright Statement
© 2025 The Author(s). Published by the Royal Society. All rights reserved. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Publication Status
Published
Article Number
20250169
Date Publish Online
2025-04-30