Stereoselective metabolism of chloramphenicol by bacteria isolated from wastewater, and the importance of stereochemistry in environmental risk assessments for antibiotics.

Wastewater treatment plants have been highlighted as a potential hotspot for the development and spread of antibiotic resistance. Although antibiotic resistant bacteria in wastewater present a public health threat, it is also possible that these bacteria play an important role in the bioremediation through the metabolism of antibiotics before they reach the wider environment. Here we address this possibility with a particular emphasis on stereochemistry using a combination of microbiology and analytical chemistry tools including the use of supercritical-fluid chromatography coupled with mass spectrometry for chiral analysis and high-resolution mass spectrometry to investigate metabolites.

Spatiotemporal profiling of antibiotics and resistance genes in a river catchment: Human population as the main driver of antibiotic and antibiotic resistance gene presence in the environment.

Studies to understand the role wastewater treatment plants (WWTPs) play in the dissemination of antibiotics (ABs), and in the emergence of antibiotic resistance (ABR), play an important role in tackling this global crisis. Here we describe the abundance and distribution of 16 ABs, and 4 corresponding antibiotic resistance genes (ARGs), sampled from the influent to five WWTPs within a single river catchment. We consider four classes of antibiotics: fluroquinolones, macrolides, sulfamethoxazole and chloramphenicol, as well the corresponding antibiotic resistance genes qnrS, ermB, sul1 and catA.

Stereoselective Bacterial Metabolism of Antibiotics in Environmental Bacteria - A Novel Biochemical Workflow.

Although molecular genetic approaches have greatly increased our understanding of the evolution and spread of antibiotic resistance genes, there are fewer studies on the dynamics of antibiotic - bacterial (A-B) interactions, especially with respect to stereochemistry. Addressing this knowledge gap requires an interdisciplinary synthesis, and the development of sensitive and selective analytical tools. Here we describe SAM (stereoselective antimicrobial metabolism) workflow, a novel interdisciplinary approach for assessing bacterial resistance mechanisms in the context of A-B interactions that utilise a combination of whole genome sequencing and mass spectrometry.