Microplastics and Nanoplastics Alter the Physicochemical Properties of Willow Trees and Lead to Mortality in Leaf Beetle Larvae
Bibliographic record
Abstract
Polystyrene micro- and nanoplastics (MNPs) are increasingly found in terrestrial environments, posing risks across the food web. However, the potential impacts of MNPs transfer on plant-insect interactions remains largely unknown. In this study, consumption of willow plants (Salix maizhokunggarensis) exposed to 10.0 mg/L MNPs for 21 days inhibited survival and reduced body weight in Plagiodera versicolora larvae unlike those exposed to lower concentrations or shorter durations (0.1, 1.0 and 10.0 mg/L MNPs for 7 or 14 days). MNPs exposure increased lignin content and leaf thickness in willows, leading to decreased leaf consumption and increased mouthpart wear in P. versicolora larvae. Transcriptome and gut microbiota analyses revealed significant downregulation of genes related to digestion, intestinal homoeostasis, immunity, and growth/development along with profound alterations in gut microbiota composition. Notably, the abundance of the pathogenic bacterium Pseudomonas increased significantly. The gut barrier was disrupted, allowing gut bacteria to translocate into the haemolymph, accelerating larval mortality. Overall, MNPs altered plant physiology, making willow plants unsuitable for herbivore consumption and indirectly influenced herbivore survival by modulating gut bacteria. These findings offer novel insights into the cascading ecological effects and risks of MNPs, highlighting potential impacts on plant-herbivore interactions, biodiversity, and ecosystem health in terrestrial ecosystems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".