Microplastics selectively modify ranavirus-driven physiological disruption and gut microbiome restructuring in amphibians
Abstract
Amphibians often face overlapping infectious and environmental stressors that interact with non-equivalent magnitudes. We investigated the combined effects of microplastics (MPs) and ranavirus (RV) on the physiology and gut microbiome of the white tree frog (Litoria caerulea). Using a multiblock approach, we integrated diverse endpoints including corticosterone (CORT), body condition, serum biochemistry, antioxidant activity, and gut microbiome profiles. RV was the major driver of host variation, significantly disrupting body condition, protein homeostasis, bioenergetic budget, and renal/hepatic functions. While direct MP effects include CORT, bioenergetic budget and antioxidant defense, increased MP intensity amplified RV viral load, infection rates, and overall physiological disruption. The gut microbiome exhibited significant structural restructuring in weighted and unweighted UniFrac analyses, despite unchanged alpha diversity. Integrated analysis revealed that exposure history was primarily reflected in host physiology, with microbial features providing secondary, structured signals. We conclude that RV is the primary physiological disruptor, while MPs act as a modifier that exacerbates these responses. These changes represent a hidden cost that increases ecological risk in amphibians, even in the absence of overt clinical signs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Rethinking microplastics as a diverse contaminant suite
Rochman, C. M., Brookson, C., Bikker, J., Djuric, N., Earn, A., Bucci, K., Athey, S., Huntington, A., McIlwraith, H., Munno, K., et al. (2019) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4371 · Cited by 1,258 · see citing works
Self-citation
Flagged first, then by citations
- Authors
- Park, J.-K., Lee, J.-E., Kim, J.-S., Kim, M. S., & Do, Y.
- Affiliations
- Kongju National University (KR)
- Corresponding author
- Do, Yuno
- ORCID
- Do, Yuno
- Venue
- Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology
- Publisher
- Elsevier BV
- Published
- 2026-10
- Volume
- 308
- Pages
- 110610
- ISSN
- 1532-0456 (ISSN-L)
- OpenAlex
- W7167623989
- Cited by
- 1
- References
- 1
- Citations by year
- 2026: 1
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea
- Topics
- Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
- Physical Sciences › Environmental Science › Global and Planetary Change › Amphibian and Reptile Biology
- Keywords
- microplastics, ranavirus, Litoria caerulea, corticosterone, body condition, antioxidant activity, liver and kidney function, viral load, combined stress, ecological risk
- MeSH terms
- Gastrointestinal Microbiome, Microplastics, Animals, Anura, Corticosterone, DNA Virus Infections, Water Pollutants, Chemical, Ranavirus
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review