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Abstract Ingestion of microplastics (MP) by suspension‐feeding bivalves has been well‐documented. However, it is unclear whether exposure to MP could damage the stomach and digestive gland (gut) of these animals, causing ramifications for organism and ecosystem health. Here, we show no apparent effects of nylon microfiber (MF) ingestion on the gut microbiome or digestive tissues of the blue mussel,Mytilus edulis. We exposed mussels to two low concentrations (50 and 100 particles/L) of either nylon MF orSpartinaspp. particles (dried, ground marsh grass), ca. 250–500 μm in length, or a no particle control laboratory treatment for 21 days. Results showed that nylon MF, when aged in coarsely filtered seawater, developed a different microbial community thanSpartinaspp. particles and seawater, however, even after exposure to this different community, mussel gut microbial communities resisted disturbance from nylon MF. The microbial communities of experimental mussels clustered together in ordination and were similar in taxonomic composition and measures of alpha diversity. Additionally, there was no evidence of damage to gut tissues after ingestion of nylon MF orSpartinaspp. Post‐ingestive particle processing likely mediated a short gut retention time of these relatively large particles, contributing to the negligible treatment effects. 

Abstract The blue mussel (Mytilus edulis) is a suspension feeder which has been used in gut‐microbiome surveys. Although raw 16S sequence data are often publicly available, unifying secondary analyses are lacking. The present work analysed raw data from seven projects conducted by one group over 7 years. Although each project had different motivations, experimental designs and conclusions, all selected samples were from the guts ofM. eduliscollected from a single location in Long Island Sound. The goal of this analysis was to determine which independent factors (e.g., collection date, depuration status) were responsible for governing composition and diversity in the gut microbiomes. Results indicated that whether mussels had undergone depuration, defined here as voidance of faeces in a controlled, no‐food period, was the primary factor that governed gut microbiome composition. Gut microbiomes from non‐depurated mussels were mixtures of resident and transient communities and were influenced by temporal factors. Resident communities from depurated mussels were influenced by the final food source and length of time host mussels were held under laboratory conditions. These findings reinforce the paradigm that gut microbiota are divided into resident and transient components and suggest that depuration status should be taken into consideration when designing and interpreting future experiments. 

Abstract Combined sewer overflows (CSOs) occur when untreated raw sewage mixed with rainwater, runoff, or snowmelt is released during or after a storm in any community with a combined sewer system (CSS). Climate change makes CSOs worse in many locales; as the frequency and severity of wet weather events increases, so do the frequency and volume of CSO events. CSOs pose risks to humans and the environment, and as such, CSS communities are under regulatory pressure to reduce CSOs. Yet, CSS communities lack the tools needed, such as performance indicators, to assess CSS performance. Using the city of Cumberland, Maryland as a case study, we use public data on CSOs and precipitation over a span of 16 years to identify a new critical rainfall intensity threshold that triggers likely CSO incidence, and a multiple linear regression model to predict CSO volume using rainfall event characteristics. Together, this indicator and modeling approach can help CSS communities assess the performance of their CSS over time, especially to evaluate the effectiveness of efforts to reduce CSOs. 

Abstract Little is known about early plastic biofilm assemblage dynamics and successional changes over time. By incubating virgin microplastics along oceanic transects and comparing adhered microbial communities with those of naturally occurring plastic litter at the same locations, we constructed gene catalogues to contrast the metabolic differences between early and mature biofilm communities. Early colonization incubations were reproducibly dominated by Alteromonadaceae and harboured significantly higher proportions of genes associated with adhesion, biofilm formation, chemotaxis, hydrocarbon degradation and motility. Comparative genomic analyses among the Alteromonadaceae metagenome assembled genomes (MAGs) highlighted the importance of the mannose‐sensitive hemagglutinin (MSHA) operon, recognized as a key factor for intestinal colonization, for early colonization of hydrophobic plastic surfaces. Synteny alignments of MSHA also demonstrated positive selection formshAalleles across all MAGs, suggesting thatmshAprovides a competitive advantage for surface colonization and nutrient acquisition. Large‐scale genomic characteristics of early colonizers varied little, despite environmental variability. Mature plastic biofilms were composed of predominantly Rhodobacteraceae and displayed significantly higher proportions of carbohydrate hydrolysis enzymes and genes for photosynthesis and secondary metabolism. Our metagenomic analyses provide insight into early biofilm formation on plastics in the ocean and how early colonizers self‐assemble, compared to mature, phylogenetically and metabolically diverse biofilms. 

As critical infrastructure systems consider whether and how to adapt and build resilience to climate variability and change, more research is needed to holistically explore the dynamics of resilience-building changes over time. We begin to fill this gap with a case study of the Rhode Island public wastewater sector. The Rhode Island Department of Environmental Management has invested significant funding, technical assistance, capacity building, and regulatory pressure to help publicly owned wastewater systems build resilience to climate challenges since 2010. To trace, assess, and understand the dynamics of resilience-building efforts over time, we interviewed wastewater utility and municipal personnel using event history calendars (EHCs). EHCs helped respondents recall details of relevant events, including potentially disruptive storms/incidents, and how they responded, including large- and small-scale adaptations, during the study period (2010–2023). We used EHCs to trace resilience and transformation capacities over time, and to analyze and predict movement toward transformational adaptation. We found that factors that best enable movement from incremental to transformational changes include unlocking capacity, or the organizational cultural value of in-depth learning/change, and a suite of contextual supports – new information, forward-looking collaborators, and stable funding sources – which require buy-in across levels of governance. We also found that, with organizational culture considered, experiencing disruption is not predictive of pursuing transformative adaptation. This suggests decision-making strategies for states, local jurisdictions, and utility managers to support climate adaptation and resilience in critical infrastructure, such as eliminating path-dependencies and silos, lowering thresholds for action, and leveraging networks to support moving toward transformation.