---

Publications

1. Paplauskas S (2025). A Conceptual Disease Cycle Model to Link the Size of Past and Future Epidemics. Ecology and Evolution, 15(8). https://doi.org/10.1002/ece3.71868
2. Paplauskas S, Morton O, Hunt M, Courage A, Swanney S, Dennis SR, Becker D, Auld SKJR and Beckerman AP (2024). Predator‐induced shape plasticity in Daphnia pulex. Ecology and Evolution, 14(2). https://doi.org/10.1002/ece3.10913
3. Paplauskas S, Brand J and Auld SKJR (2021). Ecology directs host–parasite coevolutionary trajectories across Daphnia–microparasite populations. Nature Ecology and Evolution. 5(4), 480–486. https://doi.org/10.1038/s41559-021-01390-7
4. Wilkinson SW, Pastor V, Paplauskas S, Pétriacq P and Luna E. (2018). Long-lasting β-aminobutyric acid-induced resistance protects tomato fruit against Botrytis cinerea. Plant Pathology, 67(1), 30–41. https://doi.org/10.1111/ppa.12725

Pre-prints

• Paplauskas S (2026). No local adaptation despite environmental heterogeneity in naturally coevolving Daphnia–parasite mesocosms. Authorea. https://doi.org/10.22541/au.177153469.92868672/v1
• Paplauskas S (2025). Borrowing data from other populations to forecast epidemic size. Authorea. https://doi.org/10.22541/au.174475403.32807642/v1
• Paplauskas S (2024). Meta-analysis: An ‘Epidemic Diversity’ conceptual model explains how host genetic diversity affects variation in parasite success. BioRxiv. https://doi.org/10.1101/2024.05.28.596150

Datasets

• Paplauskas, S and Miyakawa, H (2026). RT-qPCR Gene Expression Dataset for Daphnia pulex (Predator-Induced). Zenodo. https://doi.org/10.5281/zenodo.18491338
• Paplauskas S (2026). Immunofluorescence dataset of developmental marker expression during neckteeth formation in Daphnia pulex. Zenodo. https://doi.org/10.5281/zenodo.18751901

Manuscripts in preparation

• Paplauskas, S (202 – x). Meta-analysis: Epidemic size can determine the magnitude of host but not parasite-mediated selection in non-vertebrate populations. Authorea.

Thesis

• Paplauskas S, Tinsley M, Duthie B, Thackeray S (2024). Predicting epidemic size and disease evolution in response to environmental change. STORRE. http://hdl.handle.net/1893/36402