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Lücker, S.

Publications and source records attributed to Lücker, S..

5 recordsLinked to original sources

Long-term euxinia hinders microbial ammonium removal in brackish coastal waters

Anthropogenic activities are key drivers of eutrophication and deoxygenation in coastal marine ecosystems. This stimulates the anaerobic degradation of organic matter and the release of reduced products, such as ammonium, methane, and hydrogen sulfide, which may, in turn, exacerbate eutrophication and deoxygenation. In this study, using a combination of chemical and microbial analyses, we assess the nitrogen dynamics in the water column of a eutrophic coastal system (Stockholm Archipelago) at three sites with contrasting redox conditions (oxic to long-term euxinic). At the oxic site, counter gradients of ammonium and oxygen in the water column, low nitrate {delta}15N values in bottom waters, and the 16S rRNA gene-based presence of nitrifiers indicate nitrification near the sediment-water interface. At the seasonally and long-term euxinic sites, nitrification, as inferred from the water column oxygen and nutrient profiles and the relative abundance of nitrifiers, primarily occurred near the oxycline. At these two sites, nitrate was removed below the oxycline through denitrification linked to sulfide oxidation by Sulfurimonas. Nitrous oxide emissions from surface waters in the archipelago reached up to 40 {micro}mol m-2 d-1 and were not directly related to water column redox conditions, indicating that multiple factors control coastal emissions of this greenhouse gas to the atmosphere. The relative abundance of 16S rRNA genes and of N-cycle genes in metagenomes was highest at the seasonally euxinic site. Importantly, nitrifiers were significantly less abundant at the long-term euxinic site. Our results highlight that prolonged euxinia promotes recycling of ammonium over its removal, likely due to sulfide inhibition of nitrification, which sustains eutrophication and deoxygenation of coastal systems.

microbiology↗

Investigating the chemolithoautotrophic and formate metabolism of Nitrospira moscoviensis by constraint-based metabolic modeling and 13C-tracer analysis

Nitrite-oxidizing bacteria belonging to the genus Nitrospira mediate a key step in nitrification and play important roles in the biogeochemical nitrogen cycle and wastewater treatment. While these organisms have recently been shown to exhibit metabolic flexibility beyond their chemolithoautotrophic lifestyle, including the use of simple organic compounds to fuel their energy metabolism, the metabolic networks controlling their autotrophic and mixotrophic growth remain poorly understood. Here, we reconstructed a genome-scale metabolic model for Nitrospira moscoviensis (iNmo686) and used constraint-based analysis to evaluate the metabolic networks controlling autotrophic and formatotrophic growth on nitrite and formate, respectively. Subsequently, proteomic analysis and 13C-tracer experiments with bicarbonate and formate coupled to metabolomic analysis were performed to experimentally validate model predictions. Our findings support that N. moscoviensis uses the reductive tricarboxylic acid cycle for CO2 fixation. We also show that N. moscoviensis can indirectly use formate as a carbon source by oxidizing it first to CO2 followed by reassimilation, rather than direct incorporation via the reductive glycine pathway. Our study offers the first measurements of Nitrospiras in vivo central carbon metabolism and provides a quantitative tool that can be used for understanding and predicting their metabolic processes. ImportanceNitrospira are globally abundant nitrifying bacteria in soil and aquatic ecosystems and wastewater treatment plants, where they control the oxidation of nitrite to nitrate. Despite their critical contribution to nitrogen cycling across diverse environments, detailed understanding of their metabolic network and prediction of their function under different environmental conditions remains a major challenge. Here, we provide the first constraint-based metabolic model of N. moscoviensis representing the ubiquitous Nitrospira lineage II and subsequently validate this model using proteomics and 13C-tracers combined with intracellular metabolomic analysis. The resulting genome-scale model will serve as a knowledge base of Nitrospira metabolism and lays the foundation for quantitative systems biology studies of these globally important nitrite- oxidizing bacteria.

microbiology↗

Enrichment and physiological characterization of a novel comammox Nitrospira indicates ammonium inhibition of complete nitrification

The recent discovery of bacteria within the genus Nitrospira capable of complete ammonia oxidation (comammox) demonstrated that the sequential oxidation of ammonia to nitrate via nitrite can also be performed within a single bacterial cell. Although comammox Nitrospira exhibit a wide distribution in natural and engineered ecosystems, information on their physiological properties is scarce due to the limited number of cultured representatives. Furthermore, most available genomic information is derived from metagenomic sequencing and high-quality genomes of Nitrospira in general are limited. In this study, we obtained a high (90%) enrichment of a novel comammox species, tentatively named "Candidatus Nitrospira kreftii", and performed a detailed genomic and physiological characterization. The complete genome of "Ca. N. kreftii" allowed reconstruction of its basic metabolic traits. Similar to Nitrospira inopinata, the enrichment culture exhibited a very high ammonia affinity (Km(app)_NH3 {approx} 0.036 {micro}M), but a higher nitrite affinity (Km(app)_NO2- {approx} 13.8 {micro}M), indicating an adaptation to highly oligotrophic environments. Counterintuitively for a nitrifying microorganism, we also observed an inhibition of ammonia oxidation at ammonium concentrations as low as 25 {micro}M. This substrate inhibition of "Ca. N. kreftii" indicate that differences in ammonium tolerance rather than affinity can be a niche determining factor for different comammox Nitrospira.

microbiology↗

Autotrophic and mixotrophic metabolic network fluxes suggest versatile lifestyle for the anammox bacterium Candidatus Kuenenia stuttgartiensis

Anaerobic ammonium-oxidizing (anammox) bacteria mediate a key step in the biogeochemical nitrogen cycle and have been applied worldwide for the energy-efficient removal of nitrogen from wastewater. However, outside their core energy metabolism, little is known about the metabolic networks driving anammox bacterial anabolism and mixotrophy beyond genome-based predictions. Here, we experimentally resolved the central carbon metabolism of the anammox bacterium Candidatus Kuenenia stuttgartiensis using time-series 13C and 2H isotope tracing, metabolomics, and isotopically nonstationary metabolic flux analysis (INST-MFA). Our findings confirm predicted metabolic pathways used for CO2 fixation, central metabolism, and amino acid biosynthesis in K. stuttgartiensis, and reveal several instances where genomic predictions are not supported by in vivo metabolic fluxes. This includes the use of an oxidative tricarboxylic acid cycle, despite the genome not encoding a known citrate synthase. We also demonstrate that K. stuttgartiensis is able to directly assimilate extracellular formate via the Wood-Ljungdahl pathway instead of oxidizing it completely to CO2 followed by reassimilation. In contrast, our data suggests that K. stuttgartiensis is not capable of using acetate as a carbon or energy source in situ and that acetate oxidation occurred via the metabolic activity of a low-abundance microorganism in the bioreactors side population. Together, these findings provide a foundation for understanding the carbon metabolism of anammox bacteria at a systems-level and will inform future studies aimed at elucidating factors governing their function and niche differentiation in natural and engineered ecosystems.

microbiology↗

Metabolic overlap in environmentally diverse microbial communities

The majority of microbial communities consist of hundreds to thousands of species, creating a massive network of organisms competing for available resources within an ecosystem. In natural microbial communities it appears that many microbial species have highly redundant metabolisms and seemingly are capable of utilizing the same substrates. This is paradoxical, as theory indicates that species requiring a common resource should outcompete one another. To better understand why microbial species can co-exist, we developed Metabolic Overlap (MO) as a new metric to survey the functional redundancy of microbial communities at the genome scale across a wide variety of ecosystems. Using metagenome-assembled genomes, we surveyed over 1200 studies across ten ecosystem types. We found the highest MO in extreme (i.e., low pH/high temperature) and aquatic environments, while the lowest MO was observed in communities associated with animal hosts, or the built/engineered environment. In addition, different metabolism subcategories were explored for their degree of metabolic overlap. For instance, overlap in nitrogen metabolism was among the lowest in Animal and Engineered ecosystems, while the most was in species from the Built environment. Together, we present a metric that utilizes whole genome information to explore overlapping niches of microbes. This provides a detailed picture of potential metabolic competition and cooperation between species present in an ecosystem, indicates the main substrate types sustaining the community and serves as a valuable tool to generate hypotheses for future research.

microbiology↗