Martin Pabst
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155 records found
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D- and L-lactate are routinely produced as intermediates in fermentative ecosystems. However, the microbial fate of these stereoisomers remains poorly understood. Given that D-lactate is an unavoidable byproduct of digestion and a neurotoxin, understanding its microbial turnover not only holds ecological pertinence but also the potential to uncover new links between gut microbiota metabolism and host health. Here, we used chemostat bioreactors (pH 7.0, 37°C, and a solids retention time of 4 days) to enrich for lactate-consuming communities. DL-lactate-consuming consortia were enriched, characterized, and used as inoculum for duplicate bioreactors fed exclusively with D- or L-lactate. After steady-state was reached, the fed lactate stereoisomers were switched to assess community resilience. Regardless of the fed stereoisomer, the fermentation product spectra were consistent and dominated by acetate, propionate, and CO2. However, microbial communities and biomass yields diverged sharply, with a high relative abundance of Anaerotignum in D-lactate enrichments and Acidipropionibacterium and Propionibacterium in L-lactate enrichments. Notably, the biomass yield for D-lactate feeding was less than half that for L-lactate feeding, suggesting that the two isomers are metabolized through distinct biochemical pathways despite similar product spectra. Metagenomic and metaproteomic analyses confirmed divergence in D- and L-lactate conversion at both the phylogenetic and pathway levels. Our findings reveal how the stereoisomer identity of microbes shapes their niche specialization, with implications for understanding the ecology and clinical impact of lactate metabolism.
Riverbank filtration is a nature-based water treatment strategy known for its effective removal of organic micropollutants. Yet, the mechanisms governing their biodegradation, especially the role of redox transitions in mediating biotransformation, remain insufficiently understood. Here, we integrate metagenomic profiling with chemical analytics in a 10 m simulated riverbank filtration system to demonstrate how sequential oxidizing–reducing degradation enhances organic micropollutant transformation. Oxygen stratification structured distinct microbial and enzymatic pathways: oxidizing zones (>+200 mV redox potential) facilitated cytochrome P450-mediated oxidation (oxidizing condition, OXD), while subsequent redox shifts to reducing conditions (←400 mV, sequential oxidizing–reducing (SOR) conditions) activated reductive transformations (e.g., via nitronate monooxygenase and aldehyde dehydrogenase) and conjugation pathways. These SOR conditions significantly enhanced the removal of recalcitrant compounds, including irbesartan (+25.3%), benzotriazole (13.4%), and gabapentin (+9.7%). Metagenomic analysis revealed redox-driven microbial specialization, with Pseudomonadota and Nitrospirota dominating in oxidizing zones and reducing microzones enriched in pathways associated with nitrotoluene and ethylbenzene degradation, providing genomic evidence for sequential organic micropollutant breakdown. These findings establish a mechanistic framework for harnessing oxidizing–reducing microbial partnerships to amplify organic micropollutant removal in nature-based water treatment systems, which can be used for riverbank filtration site selection and well field construction and optimization.
Organic micropollutants (OMPs) in wastewater treatment plant (WWTP) effluent pose persistent risks to aquatic ecosystems and drinking water sources. Riverbank filtration (RBF) is a nature-based treatment process, yet the compartment-specific roles of riverbed sediment and downstream soil in OMP attenuation remain poorly resolved under wastewater-impacted conditions. Here, we combined targeted chemical analysis, OMP property compilation, shotgun metagenomics, EnviPath-based biotransformation annotation, and exploratory network analysis to investigate OMP attenuation in a laboratory-scale RBF system treating real WWTP effluent for 10 months. Nineteen OMPs were monitored along a sequential sediment–soil filtration pathway. Sediment preferentially attenuated hydrophilic or charged compounds, including lidocaine, amantadine, and sotalol, whereas soil contributed more strongly to the attenuation of naproxen, atenolol, and losartan. Metagenomic profiling revealed distinct microbial communities and functional gene repertoires between sediment and soil after long-term operation. Sediment harbored higher relative abundances of genes associated with oxidative xenobiotic transformation, including cytochrome P450-related enzymes, demethylases, dehydrogenases, oxidases, and aromatic compound degradation pathways. An exploratory Spearman network further identified associations among microbial genera, EnviPath-annotated candidate biotransformation genes, and OMP removal rates, including 17 KO–OMP links supported by both correlation and pathway annotation. These findings indicate that sediment and soil develop complementary microbial functional potentials that may support compound-specific OMP attenuation. This study provides a mechanistic basis for optimizing sediment–soil configurations in wastewater-impacted RBF systems and for improving nature-based barriers against diverse OMP mixtures.
Wastewater metaproteomics
Tracking microbial and human protein biomarkers
Amino acids are less studied substrates in enhanced biological phosphorus removal (EBPR) systems. Glycine, a prevalent amino acid in wastewater, was used in this study to evaluate its role in EBPR processes. We operated a sequencing batch reactor (SBR) for over three months with glycine as the sole carbon source to investigate phosphorus removal performance and microbial dynamics using chemical and molecular analyses. The reactor supported EBPR activity, with glycine enabling anaerobic phosphorus release followed by aerobic uptake. The dissolved organic carbon to phosphorus (DOC:P) removal ratio of 100:9.9 closely matched values reported for systems dominated by polyphosphate-accumulating organisms (PAOs), and net phosphorus removal (20 mg PO₄-P L−1) fell within the range reported for laboratory-scale EBPR systems fed with mixed carbon sources. Community analyses showed enrichment of Saccharimonadales alongside putative PAOs, including Ca. Phosphoribacter and Ca. Propionivibrio. Genome-resolved analyses indicate distinct but complementary metabolic potentials, including glycine transformation and lactate-related pathways, suggesting distributed carbon processing within the community. Together, these findings expand the understanding of amino acid utilization in EBPR systems and identify potential metabolic linkages that influence phosphorus removal under glycine-fed conditions.
The Metaproteomics Initiative
Five years of community-driven progress
A Special Issue of Mass Spectrometry Reviews to Honor Professor Renato Zenobi
A Lifetime of Mentorship and Innovation in Mass Spectrometry
Decoding Sugars
Mass Spectrometric Advances in the Analysis of the Sugar Alphabet
The immense microbial diversity on Earth represents a vast genomic resource, yet discovering novel enzymes from complex environments remains challenging. Here, we combine a microbial enrichment with metagenomics and metaproteomics to facilitate the identification of microbial glycoside hydrolases that operate under defined conditions. We enriched microbial communities on the carbohydrate polymer pullulan at elevated temperatures under acidic conditions. Pullulan is a natural polysaccharide composed of maltotriose units linked by α-1,6-glycosidic bonds. Pullulan, along with its hydrolyzing enzymes, has broad applications across various industries. The enrichment inocula were sampled from thermophilic compost and from soil from the bank of a pond. In both cases, Alicyclobacillus was identified as the dominant microorganism. Metaproteomic analysis of the enriched biomass and secretome enabled the identification of several pullulan-degrading enzyme candidates from this organism. These enzymes were absent in the metagenomic analysis of the initial inoculum, which is highly complex with a wide diversity of species. This underscores the effectiveness of combining microbial enrichment with multi-omics for uncovering novel enzymes and sequence variants that operate under defined conditions from complex microbial environments.