Intraspecific variability of responses to combined metal contamination and immune challenge among wild fish populations.

Evolutionary-ecotoxicology Fish behavior Human-altered rivers Metabolic strategy Multiple stressors

Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
01 Mar 2021
Historique:
received: 03 08 2020
revised: 26 10 2020
accepted: 05 11 2020
pubmed: 17 11 2020
medline: 11 2 2021
entrez: 16 11 2020
Statut: ppublish

Résumé

Wild organisms are increasingly exposed to multiple anthropogenic and natural stressors that can interact in complex ways and lead to unexpected effects. In aquatic ecosystems, contamination by trace metals has deleterious effects on fish health and commonly co-occurs with pathogens, which affect similar physiological and behavioral traits. However, the combined effects of metal contamination and parasitism are still poorly known. In addition, the sensitivity to multiple stressors could be highly variable among different fish populations depending on their evolutionary history, but this intraspecific variability is rarely taken into account in existing ecotoxicological studies. Here, we investigated i) the interactive effects of metal contamination (i.e., realistic mixture of Cd, Cu and Zn) and immune challenge mimicking a parasite attack on fish health across biological levels. In addition, we compared ii) the physiological and behavioral responses among five populations of gudgeon fish (Gobio occitaniae) having evolved along a gradient of metal contamination. Results show that single stressors exposure resulted in an increase of immune defenses and oxidative stress at the expense of body mass (contamination) or fish swimming activity (immune challenge). Multiple stressors had fewer interactive effects than expected, especially on physiological traits, but mainly resulted in antagonistic effects on fish swimming activity. Indeed, the immune challenge modified or inhibited the effects of contamination on fish behavior in most populations, suggesting that multiple stressors could reduce behavioral plasticity. Interestingly, the effects of stressors were highly variable among populations, with lower deleterious effects of metal contamination in populations from highly contaminated environments, although the underlying evolutionary mechanisms remain to be investigated. This study highlights the importance of considering multiple stressors effects and intraspecific variability of sensitivity to refine our ability to predict the effects of environmental contaminants on aquatic wildlife.

Identifiants

pubmed: 33190983
pii: S0269-7491(20)36731-2
doi: 10.1016/j.envpol.2020.116042
pii:
doi:

Substances chimiques

Metals 0
Trace Elements 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116042

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Quentin Petitjean (Q)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France; EDB, Laboratoire Évolution et Diversité Biologique, UMR5174 EDB, Université de Toulouse, CNRS, IRD, 118 Route de Narbonne, 31062, Toulouse, France; LTSER France, Zone Atelier PYGAR « Pyrénées-Garonne », Auzeville-Tolosane, France. Electronic address: q.petitjean1@gmail.com.

Lisa Jacquin (L)

EDB, Laboratoire Évolution et Diversité Biologique, UMR5174 EDB, Université de Toulouse, CNRS, IRD, 118 Route de Narbonne, 31062, Toulouse, France; LTSER France, Zone Atelier PYGAR « Pyrénées-Garonne », Auzeville-Tolosane, France.

Louna Riem (L)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France; EDB, Laboratoire Évolution et Diversité Biologique, UMR5174 EDB, Université de Toulouse, CNRS, IRD, 118 Route de Narbonne, 31062, Toulouse, France.

Mathilde Pitout (M)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France.

Annie Perrault (A)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France.

Myriam Cousseau (M)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France.

Pascal Laffaille (P)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France; LTSER France, Zone Atelier PYGAR « Pyrénées-Garonne », Auzeville-Tolosane, France.

Séverine Jean (S)

Laboratoire Écologie Fonctionnelle et Environnement, UMR5245, Université de Toulouse, CNRS, 118 Route de Narbonne, 31062, Toulouse, France; LTSER France, Zone Atelier PYGAR « Pyrénées-Garonne », Auzeville-Tolosane, France.

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Classifications MeSH