Metagenomic Insights in Antimicrobial Resistance Threats in Sludge from Aerobic and Anaerobic Membrane Bioreactors.

Sludge is a biohazardous solid waste that is produced during wastewater treatment. It contains antibiotic resistance genes (ARGs) that pose significant antimicrobial resistance (AMR) threats. Herein, aerobic and anaerobic membrane bioreactors (AeMBRs and AnMBRs, respectively) were compared in terms of the volume of waste sludge generated by them, the presence of ARGs in the sludge, and the potential for horizontal gene transfer (HGT) events using metagenomics to determine which treatment process can better address AMR concerns associated with the generation of waste sludge.

A deep learning strategy to identify cell types across species from high-density extracellular recordings.

High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals and reveal the computational roles of neurons with distinct functional, molecular, and anatomical properties. We combine optogenetics and pharmacology using the cerebellum as a testbed to generate a curated ground-truth library of electrophysiological properties for Purkinje cells, molecular layer interneurons, Golgi cells, and mossy fibers.

The Impact of COVID-19 on Maternal Health: Quantitative Data Related to Risk and Protective Factors Among Pregnant and Postpartum Women in Puerto Rico.

Background: The COVID-19 pandemic affected access to healthcare and social support. This especially impacted vulnerable populations like pregnant and postpartum women.

Purpose: The specific aims of the project are the following: (1) examine the impact of COVID-19 on pregnancy experiences and outcomes; (2) examine the mental health impact of COVID-19 in pregnant women and mothers of children 12 months or younger; (3) identify risk and protective factors among this population in Puerto Rico.

Ancient origin of an urban underground mosquito.

Understanding how life is adapting to urban environments represents an important challenge in evolutionary biology. Here we investigate a widely cited example of urban adaptation, form , also known as the London Underground Mosquito. Population genomic analysis of ~350 contemporary and historical samples counter the popular hypothesis that originated belowground in London less than 200 years ago.

Holistic assessment of chemical and biological pollutants in a Mediterranean wastewater effluent-dominated stream: Interactions and ecological impacts.

The discharge of treated wastewater from wastewater treatment plants (WWTPs) into river systems is a significant source of pollution, introducing a range of chemical and biological pollutants that impact the chemical and ecological quality status of rivers. This study evaluates the effect of a secondary treated wastewater effluent on the Onyar River, in the northeast of Spain. Water and biofilm samples were collected at one upstream and four downstream sampling points (up to 2.