Accelerated high-throughput imaging and phenotyping system for small organisms.

Studying the complex web of interactions in biological communities requires large multifactorial experiments with sufficient statistical power. Automation tools reduce the time and labor associated with setup, data collection, and analysis in experiments that untangle these webs. We developed tools for high-throughput experimentation (HTE) in duckweeds, small aquatic plants that are amenable to autonomous experimental preparation and image-based phenotyping. We showcase the abilities of our HTE system in a study with 6,000 experimental units grown across 2,000 treatments. These automated tools facilitated the collection and analysis of time-resolved growth data, which revealed finer dynamics of plant-microbe interactions across environmental gradients. Altogether, our HTE system can run experiments with up to 11,520 experimental units and can be adapted for other small organisms.

Nanoplastic State and Fate in Aquatic Environments: Multiscale Modeling.

We now know that nanoplastics can harm aquatic organisms, but understanding ecological risk starts with understanding fate. We coupled population balance and fugacity models to predict the conditions under which nanoplastics remain as single particles, aggregate, or sediment and to predict their capacity to concentrate organic pollutants. We carried out simulations across a broad range of nanoplastic concentrations, particle sizes, and particle-particle interactions under a range of salinity and organic matter conditions. The model predicts that across plastic materials and environmental conditions, nanoplastics will either remain mostly dispersed or settle as aggregates with natural colloids. Nanoplastics of different size classes respond dissimilarly to concentration, ionic strength, and organic matter content, indicating that the sizes of nanoplastics to which organisms are exposed likely shift across ecological zones. We implemented a fugacity model of the Great Lakes to assess the organic pollution payload carried by nanoplastics, generating the expectation that nanoplastics would carry nine times more pollutants than microsized plastics and a threshold concentration of 10 µg/L at which they impact pollutant distribution. Our simulations across a broad range of factors inform future experimentation by highlighting the relative importance of size, concentration, material properties, and interactions in driving nanoplastic fate in aquatic environments.

Microplastics shift impacts of climate change on a plant-microbe mutualism: Temperature, CO2, and tire wear particles.

Anthropogenic stressors can affect individual species and alter species interactions. Moreover, species interactions or the presence of multiple stressors can modify the stressor effects, yet most work focuses on single stressors and single species. Plant-microbe interactions are a class of species interactions on which ecosystems and agricultural systems depend, yet may be affected by multiple global change stressors. Here, we use duckweed and microbes from its microbiome to model responses of interacting plants and microbes to multiple stressors: climate change and tire wear particles. Climate change is occurring globally, and microplastic tire wear particles from roads now reach many ecosystems. We paired perpendicular gradients of temperature and carbon dioxide (CO2) treatments with factorial manipulation of leachate from tire wear particles and duckweed microbiomes. We found that tire leachate and warmer temperatures enhanced duckweed and microbial growth, but caused effects of microbes on duckweed to become negative. However, induced negative effects of microbes were less than additive with warming and leachate. Without tire leachate, we observed that higher CO2 and temperature induced positive correlations between duckweed and microbial growth, which can strengthen mutualisms. In contrast, with tire leachate, growth correlations were never positive, and shifted negative at lower CO2, again suggesting leachate disrupts this plant-microbiome mutualism. In summary, our results demonstrate that multiple interacting stressors can affect multiple interacting species, and that leachate from tire wear particles could potentially disrupt plant-microbe mutualisms.

Biological Responses to Climate Change and Nanoplastics Are Altered in Concert: Full-Factor Screening Reveals Effects of Multiple Stressors on Primary Producers.

While the combined presence of global climate change and nanosized plastic particle (i.e., nanoplastic) pollution is clear, the potential for interactions between climate-change-shifting environmental parameters and nanoplastics is largely unknown. Here, we aim to understand how nanoplastics will affect species in concert with climate change in freshwater ecosystems. We utilized a high-throughput full-factorial experimental system and the model photosynthetic microorganism Scenedesmus obliquus to capture the complexity of interacting environmental stressors, including CO2, temperature, light, and nanoplastics. Under a massive number of conditions (2000+), we consistently found concentration-dependent inhibition of algal growth in the presence of polystyrene nanoparticles, highlighting a threat to primary productivity in aquatic ecosystems. Our high-treatment experiment also identified crucial interactions between nanoplastics and climate change. We found that relatively low temperature and ambient CO2 exacerbated damage induced by nanoplastics, while elevated CO2 and warmer temperatures reflecting climate change scenarios somewhat attenuated nanoplastic toxicity. Further, we revealed that nanoplastics may modulate light responses, implying that risks of nanoplastic pollution may also depend on local irradiation conditions. Our study highlights the coupled impacts of nanoplastics and climate change, as well as the value of full-factorial screening in predicting biological responses to multifaceted global change.