M. S. M. Jetten

The paper examines seasonal changes in methane oxidation by microbial communities in a coastal basin, finding that methane removal remains active even in anoxic conditions, but is reduced during periods of weakened stratification.

This study investigates the extracellular electron transfer mechanism in ANME-2d archaea using bioelectrochemical systems, metagenomics, and metatranscriptomics, identifying a unique pathway involving OmcZ nanowires.

The paper investigates methanotrophic community dynamics in a stratified coastal lake, finding diverse genomic potential and high activity across the methane-oxygen gradient.

This study investigates how nitrate input affects iron and arsenic mobility in aquifers by examining microbial processes in microcosm experiments.

This study shows that the methanotroph Methylacidiphilum fumariolicum SolV can oxidize both CH4 and H2S, using SQR and ba3-type oxidase to detoxify H2S and support CH4 oxidation.

This study identifies novel amidase enzyme candidates and other potential enzymes involved in microbial paracetamol degradation in wastewater treatment plants.

This study investigates how sulfide toxicity affects anaerobic methane oxidation in eutrophic coastal sediments under different redox conditions.

This study investigates microbial community responses to substrate deprivation and toxicity stresses in a bioreactor mimicking coastal sediment conditions, identifying resilient species and shifts in metabolic pathways.

This study investigates pharmaceutical removal in a membrane bioreactor, finding that removal efficiency varies by compound and is not significantly affected by concentration or hydraulic retention time.

This paper introduces an activity-based labelling method to detect and identify ammonia- and methane-oxidizing bacteria in complex environments.

This study uses isotope tracing and metabolomics to resolve the central carbon metabolism of an anammox bacterium, revealing discrepancies between genomic predictions and in vivo metabolic fluxes.

This study identifies novel microbial taxa involved in methane and iron cycling in a bioreactor using Bothnian Sea sediments under low oxygen conditions.

This study enriches and characterizes a novel comammox Nitrospira species, revealing its high ammonia affinity and ammonium inhibition, suggesting niche differentiation based on ammonium tolerance.

This study profiles ammonia- and methane-oxidizing microorganisms in a Dutch drinking water treatment plant using metagenomic sequencing, identifying key microbial taxa and their distribution across different filtration stages.

This study demonstrates that freshwater and marine anammox bacteria can couple ammonium oxidation with extracellular electron transfer to carbon-based electron acceptors like graphene oxide or electrodes.

This paper discovers a new bacterial phylum, Saltatorellota, capable of shape-shifting and amoeba-like movement, challenging the notion of bacterial morphological rigidity.

The paper introduces a metric to measure metabolic overlap in microbial communities across ecosystems, finding higher overlap in extreme and aquatic environments and lower in host-associated and engineered environments.

The paper analyzes metagenomic data from coastal sediments in the Bothnian Sea to reveal metabolic capabilities related to carbon, nitrogen, and sulfur cycling.

This study develops a novel mesocosm setup to measure methane emissions from submerged peat mosses and finds that methanotrophs significantly reduce methane emissions.

The paper compares bacterial and methanotrophic diversity between an Italian paddy field and adjacent meadow, finding distinct microbial communities but no significant CH4 flux differences.

This study examines how nitrogen fertilization affects microbial communities in wetland soil and rhizosphere, showing increased greenhouse gas emissions and shifts in microbial activity.

The paper develops PCR primers specifically targeting comammox Nitrospira amoA genes, enabling their detection and quantification in diverse environments with high specificity and sensitivity.