Daniel S. Grégoire

The paper tracks microbial and geochemical changes in landfill waste over 39 years, linking shifts in microbial communities and metal cycling to environmental factors.

This study uses Raman spectroscopy to monitor plastic biodegradation metabolites in real time, identifying isophthalic acid as a novel PET metabolism product.

The paper identifies methane-cycling microbes as key predictors of methylmercury accumulation in rice paddies using genomic and machine learning analyses.

The paper profiles microbial communities in copper/nickel mine tailings using metagenomics and metaproteomics, revealing diverse metal resistance genes and novel taxa, along with challenges in low-biomass sequencing.

This study shows that metal-binding ligands, not redox-active metabolites, drive microbially-induced corrosion of cobalt, with oxygen initiating oxidation and unknown metabolites preventing cobalt oxide precipitation.

The paper examines how microbial communities in aquifers change in response to thermal arsenic mobilization and identifies potential biogeochemical roles of microbes in arsenic cycling.

This study uses multi-omics to analyze a microbial consortium for wastewater treatment, revealing shifts in community composition and nitrogen cycling under different environmental conditions.

The paper examines microbial communities in Cu/Ni mine tailings, finding high variability in diversity and composition linked to geochemical factors like pH and metal concentrations.

The paper identifies giant genes in predatory bacteria, showing they are associated with prey adhesion and cell wall degradation.