R. Tully results 16
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Land use influences dissolved organic matter composition in the U.S. Coastal Critical Zone NetworkNARA Subscribed
Coastal watersheds are highly productive biogeochemical systems supporting robust coastal fisheries and contributing significantly to the marine gross primary production flux. These ecosystems are comprised of civil infrastructure, farms, forests, and marshes, and their diversity is reflected in the quantity and quality of dissolved organic matter (DOM). Here, we assess the role of farming in influencing DOM from surface water...
Highly Dynamic Archaeal and Bacterial Communities From the Surface to the Deep in the Atlantic OceanNARA Subscribed
Though archaea are ubiquitous in the oceans, at times present in quantities equal to bacteria, in general, archaea are underreported when compared with bacteria, and little is known about archaeal connectivity in the ocean. Here, we present the first time series data of size‐fractionated archaea with temporal resolution of days across a depth transect in the oligotrophic Atlantic Ocean. Archaeal communities were variable from...
Funding evidence‐based conservationNARA Subscribed
Emerging harmful algal blooms caused by distinct seasonal assemblages of a toxic diatomNARA Subscribed
Diatoms in the Pseudo‐nitzschia genus produce the neurotoxin domoic acid. Domoic acid bioaccumulates in shellfish, causing illness in humans and marine animals upon ingestion. In 2017, high domoic acid levels in shellfish meat closed shellfish harvest in Narragansett Bay, Rhode Island for the first and only time in history, although abundant Pseudo‐nitzschia have been observed for over 60 years . To investigate whether an envi...
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severityNARA Subscribed
The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the pr...
Urea-formaldehyde for the control of common scab of potatoNARA Subscribed
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