Evidence map›Paper›PMID 39188010›Full record

ArticleThe Journal of animal ecology2025

Long-term effects of widespread pharmaceutical pollution on trade-offs between behavioural, life-history and reproductive traits in fish.

Upama Aich, Giovanni Polverino, Farin Yazdan Parast, Gabriela C Melo, Hung Tan, James Howells, Reza Nosrati, Bob B M Wong

Abstract read
In one paragraph

Article in The Journal of animal ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Upama AichSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-2576-0922
Giovanni PolverinoSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-9737-7995
Farin Yazdan ParastDepartment of Mechanical and Aerospace Engineering, Monash University, Clayton, Victoria, Australia.
Gabriela C MeloSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.
Hung TanSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-7500-8395
James HowellsSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.
Reza NosratiDepartment of Mechanical and Aerospace Engineering, Monash University, Clayton, Victoria, Australia.
Bob B M WongSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-9352-6500

Funding

Australian Research Council DP220100245Australian Research Council FT190100014
6 · The paper itself

Abstract

In our rapidly changing world, understanding how species respond to shifting conditions is of paramount importance. Pharmaceutical pollutants are widespread in aquatic ecosystems globally, yet their impacts on animal behaviour, life-history and reproductive allocation remain poorly understood, especially in the context of intraspecific variation in ecologically important traits that facilitate species' adaptive capacities. We test whether a widespread pharmaceutical pollutant, fluoxetine (Prozac), disrupts the trade-off between individual-level (co)variation in behavioural, life-history and reproductive traits of freshwater fish. We exposed the progeny of wild-caught guppies (Poecilia reticulata) to three field-relevant levels of fluoxetine (mean measured concentrations: 0, 31.5 and 316 ng/L) for 5 years, across multiple generations. We used 12 independent laboratory populations and repeatedly quantified activity and risk-taking behaviour of male guppies, capturing both mean behaviours and variation within and between individuals across exposure treatments. We also measured key life-history traits (body condition, coloration and gonopodium size) and assessed post-copulatory sperm traits (sperm vitality, number and velocity) that are known to be under strong sexual selection in polyandrous species. Intraspecific (co)variation of these traits was analysed using a comprehensive, multivariate statistical approach. Fluoxetine had a dose-specific (mean) effect on the life-history and sperm trait of guppies: low pollutant exposure altered male body condition and increased gonopodium size, but reduced sperm velocity. At the individual level, fluoxetine reduced the behavioural plasticity of guppies by eroding their within-individual variation in both activity and risk-taking behaviour. Fluoxetine also altered between-individual correlations in pace-of-life syndrome traits: it triggered the emergence of correlations between behavioural and life-history traits (e.g. activity and body condition) and between life-history and sperm traits (e.g. gonopodium size and sperm vitality), but collapsed other between-individual correlations (e.g. activity and gonopodium size). Our results reveal that chronic exposure to global pollutants can affect phenotypic traits at both population and individual levels, and even alter individual-level correlations among such traits in a dose-specific manner. We discuss the need to integrate individual-level analyses and test behaviour in association with life-history and reproductive traits to fully understand how animals respond to human-induced environmental change.

Indexed as

Behavior, AnimalFluoxetineLife History TraitsPoeciliaReproductionSexual Behavior, AnimalWater Pollutants, ChemicalAnimalsFemaleMaleSpermatozoaFluoxetineWater Pollutants, Chemicalanimal personalityantidepressantsBayesian statisticsbehavioural syndromechemical pollutionecotoxicologyejaculate traitsmultivariate regression analysis

Identifiers

PMID39188010
PMCPMC11880659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.