TY - CONF A1 - Schreiber, Frank T1 - Biocide Resistance - Road to Risk Assessment N2 - This presentation details the current status of biocide resistance risk assessment and provides a roadmap for future activities. T2 - OECD, 6th Meeting of the Working Party on Biocides CY - Paris, France DA - 28.09.2022 KW - Antimicrobial resistance KW - Antimicrobial coating KW - Standardization KW - Biocides KW - Risk assessment PY - 2022 AN - OPUS4-56263 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Correlative imaging of gene expression and metabolic activity by combining single-molecule mRNA FISH and nanometer-scale secondary ion mass spectrometry N2 - Populations of genetically identical cells that share the same environment can differ markedly in their phenotypes. This phenomenon has been termed phenotypic heterogeneity. While a few molecular mechanisms that lead to heterogeneity in gene expression have been elucidated, it remains unclear how heterogeneity in gene expression is transmitted to heterogeneity in activity; especially in metabolism. Metabolic activity of single bacterial cells can be quantified by labeling the substrate with stable isotopes and by measuring label uptake with nanometer-scale secondary ion mass spectrometry (NanoSIMS). Here we combined NanoSIMS with single-molecule mRNA fluorescence in situ hybridization (smFISH) to link heterogeneity in gene expression and metabolism in nitrogen fixing bacteria. We find that gene expression and metabolic activity are decoupled in single cells. However, heterogeneity in gene expression is correlated with heterogeneity in metabolic activity on the population level. Gene expression kinetics can provide insights into the molecular mechanisms that lead to heterogeneity in metabolism. T2 - NanoSIMS user meeting CY - Utrecht, The Netherlands DA - 26.09.2016 KW - mRNA-FISH KW - NanoSIMS KW - Stable isotopes PY - 2016 AN - OPUS4-37756 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jaut, Valerie A1 - Schreiber, Frank T1 - Antibiotic tolerance of biofilms emerging fro multicellular effects of antibiotic efflux N2 - The overarching goal of this project is to develop a predictive model for efflux-mediated antimicrobial tolerance in bacterial multicellular assemblies. Our central hypostasis is that efflux pump activity causes emergent antibiotic tolerance of multicellular bacterial populations, through the interplay of efflux mediated spatial interactions and efflux-linked persistence. To test this hypothesis, we will use a combination of microscopy, microbial killing assays, computational modelling, and data analysis, integrating information from 3 types of multicellular assembly: colonies, cell-to-cell interactions in a monolayer microfluidic device, and 3D flow chamber biofilms. Building on our preliminary observations, we will experimentally characterize the link between colony structure and spatial patterns of efflux gene expression in strains that differ in their levels of efflux. We will develop a mathematical model to test whether local growth inhibition of neighbors due to effluxing cells, coupled with local environment-dependent regulation of efflux, can account qualitatively for these results. By including persister cell formation in our model we will predict, and measure, the emergent function of antimicrobial tolerance in our colonies. To fully understand how tolerance emerges from the interplay between efflux-mediated spatial interactions and efflux-linked persister cell formation, we need quantitative measurements at the single cell level. To this end, we will use a microfluidic setup with cells growing in a monolayer to qualify in detail the dependence of efflux expression and persister cell formation on nutrient conditions, the correlation between efflux and persister formation, and the spatial range of efflux-mediated neighbour growth inhibition. To predict and quantitatively understand the emergent multicellular function of tolerance, we will perform individual-based modelling of biofilm growth, using as input the parameters measured on the single-cell level with our microfluidics experiments. Our simulations will predict biofilm spatial structure development, patterns of efflux and persister formation and, ultimately, tolerance to antimicrobial challenge. These predictions will be directly tested in flow-cell biofilm experiments. We are currently generating acrAB-tolC knockout-strain, without efflux activity, and a strain with an inducible acrAB-tolC efflux pump. To distinguish the different strains under the microscope, they were labeled with genes encoding for different fluorescent proteins. All strains are currently characterized in terms of growth, minimum inhibitory concentration of different antimicrobial substances, colony morphology, and biofilm formation ability. On the theoretical side, we are currently working on modeling the system at various scales and degree of detail, ranging from coarse-grained continuum models to stochastic, individual-based models. Some exploratory work was doe to test existing software for individual-based modelling that may be adapted for our purpose. Furthermore, we are in the process of developing more coarse-grained models. This work involves some physiological modelling and literature search, focusing on working mechanisms of efflux pumps and kinetic models for import and export of antibiotics. T2 - SPP Meeting CY - Jena, Germany DA - 04.10.2023 KW - Antibiotic KW - Bioilm KW - Tolerance KW - Efflux PY - 2023 AN - OPUS4-59245 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Die Entstehung von antimikrobiellen Resistenzen durch die Verwendung von Bioziden N2 - Dieser Vortrag gibt einen Überblick über die BAM und die Aktivitäten im Bereich Biozidresistenz. T2 - Berliner Hochschule für Technik Studiengang Biotechnologie CY - Berlin, Germany DA - 05.05.2023 KW - Antimikrobielle Resistenz KW - Antmikrobielle Oberflächen KW - Standardisierung PY - 2023 AN - OPUS4-57859 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Correlative imaging of gene expression and metabolic activity by combining single-molecule mRNA FISH and nanometer-scale secondary ion mass spectrometry N2 - Populations of genetically identical cells that share the same environment can differ markedly in their phenotypes. This phenomenon has been termed phenotypic heterogeneity. While a few molecular mechanisms that lead to heterogeneity in gene expression have been elucidated, it remains unclear how heterogeneity in gene expression is transmitted to heterogeneity in activity; especially in metabolism. Metabolic activity of single bacterial cells can be quantified by labeling the substrate with stable isotopes and by measuring label uptake with nanometer-scale secondary ion mass spectrometry (NanoSIMS). Here we combined NanoSIMS with single-molecule mRNA fluorescence in situ hybridization (smFISH) to link heterogeneity in gene expression and metabolism in nitrogen fixing bacteria. We find that gene expression and metabolic activity are decoupled in single cells. However, heterogeneity in gene expression is correlated with heterogeneity in metabolic activity on the population level. Gene expression kinetics can provide insights into the molecular mechanisms that lead to heterogeneity in metabolism. T2 - 22nd International Workshop on “Single Molecule Spectroscopy and Super-resolution Microscopy in the Life Sciences” CY - Berlin, Germany DA - 14.09.2016 KW - mRNA-FISH KW - NanoSIMS KW - Stable isotopes PY - 2016 AN - OPUS4-37757 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - How to regulate and assess resistance risks of co-selecting agents during application and in the environment N2 - This talk deals with the question on How to regulate and assess resistance risks of co-selecting agents during application and in the environment. It shows that there the overview of worldwide activities to regulate co-selecting agents is missing. Regulations for product authorization usually consider resistance in target organisms, but there is a risk of emergence of resistance from non-target organisms as well. Moreover, pollution effects on resistance development in the environment are not explicitly covered during product authorization and few risk assessment schemes and methods available. T2 - EDAR7 - Environmental Dimension of Antimicrobial Resistance Conference 2024 CY - Montreal, Canada DA - 26.05.2024 KW - Antimicrobial resistance KW - Bacteria KW - Standardization KW - Biocides PY - 2024 AN - OPUS4-61542 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Development of a laboratory method to assess resistance development of microorganisms to biocides – An update N2 - This presentation describes the development of a laboratory method to assess resistance development of microorganisms to biocides and antimicrobial surfaces. T2 - The International Biodeterioration Research Group (IBRG) autumn meeting 2022 CY - Online meeting DA - 11.10.2022 KW - Antimicrobial resistance KW - Antimicrobial coating KW - Standardization KW - Biocides KW - Risk assessment PY - 2022 AN - OPUS4-56264 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Development of a laboratory method to assess resistance development of microorganisms to biocides – An update N2 - This presentation describes our efforts at BAM towards the development of a laboratory method to assess resistance development of microorganisms to biocides. T2 - The International Biodeterioration Research Group (IBRG) spring meeting 2023 CY - Online meeting DA - 05.03.2023 KW - Antimicrobial resistance KW - Antimicrobial coating KW - Standardization KW - Biocides PY - 2023 AN - OPUS4-57858 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Development of a laboratory method to assess resistance development of microorganisms to biocides N2 - Bacteria are exposed to biocides through surface disinfection or by antimicrobial surfaces. These stressful environments provide a strong selective pressure for bacteria to adapt. Here, we describe the development of a laboratory method to assess adaption of bacteria by resistance development in response to surface disinfection and antimicrobial surfaces. T2 - OECD, 5th Meeting of the Working Party on Biocides CY - Online meeting DA - 26.05.2021 KW - Antimicrobial resistance KW - Antimicrobial coating KW - Standardization PY - 2021 AN - OPUS4-53163 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Development of a laboratory method to assess resistance development of microorganisms to biocides N2 - Bacteria are exposed to biocides through surface disinfection or by antimicrobial surfaces. These stressful environments provide a strong selective pressure for bacteria to adapt. Here, we describe the development of a laboratory method to assess adaption of bacteria by resistance development in response to surface disinfection and antimicrobial surfaces. T2 - The International Biodeterioration Research Group (IBRG) Spring Meeting 2021 CY - Online meeting DA - 28.06.2021 KW - Antimicrobial resistance KW - Antimicrobial coating KW - Standardization PY - 2021 AN - OPUS4-53164 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Greco, A. A1 - Starostin, V. A1 - Karapanagiotis, Christos A1 - Hinderhofer, A. A1 - Gerlach, A. A1 - Pithan, L. A1 - Liehr, Sascha A1 - Schreiber, Frank A1 - Kowarik, Stefan T1 - Fast fitting of reflectivity data of growing thin films using neural networks N2 - X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study Shows how a simple artificial neural network model can be used to determine the thickness, roughness and density of thin films of different organic semiconductors [diindenoperylene, copper(II) phthalocyanine and alpha-sexithiophene] on silica from their XRR data with millisecond computation time and with minimal user input or a priori knowledge. For a large experimental data set of 372 XRR curves, it is shown that a simple fully connected model can provide good results with a mean absolute percentage error of 8–18% when compared with the results obtained by a genetic least mean squares fit using the classical Parratt formalism. Furthermore, current drawbacks and prospects for improvement are discussed. KW - Artificial neural networks KW - X-ray reflectivity PY - 2019 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-498997 DO - https://doi.org/10.1107/S1600576719013311 SN - 1600-5767 VL - 52 SP - 1342 EP - 1347 PB - Wiley AN - OPUS4-49899 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Single-cell trait-based biodiversity in microbial communities and its link to ecosystem functioning in a stratified lake N2 - A fundamental question in ecology is how biodiversity affects ecosystem function. Biodiversity is commonly estimated based on genetic variation. We investigated a new approach that defines and measures biodiversity in complex microbial communities. We used the variation in multiple functionally-relevant, phenotypic traits measured in parallel in single cells as a metric for microbial phenotypic diversity. We studied phenotypic diversity and ecosystem functioning throughout different photosynthetic layers dominated by divergent microbial communities in the gradient of Lago di Cadagno. We determined genetic diversity by 16S and 18S amplicon sequencing and bulk ecosystem functioning (photosynthesis). In addition, we determined phenotypic diversity using single-cell technologies such as nanometer-scale secondary ion mass spectrometry (NanoSIMS) correlated with confocal laser scanning microscopy (CLSM) and scanning flow-cytometry. We measured functional trait variation between individuals in 13CO2 fixation, 15NH4+ uptake, and variation in physio-morphological cell traits, such as cell size, shape, and auto-fluorescence for various pigments related to photosynthesis. We used the distances between individuals in a multidimensional trait space to derive phenotypic trait-based diversity indices, such as trait richness, trait evenness, and trait divergence. We find that phenotypic trait divergence associates with ecosystem functioning, whereas genetic diversity does not. Including activity-based, single-cell phenotypic measurements with NanoSIMS provided an additional accuracy to the trait-based diversity assessment and allowed us to formulate hypotheses on the mechanisms that shape the correlation between phenotypic diversity and eco-system function. Together, our results show that phenotypic diversity is a meaningful concept to measure microbial biodiversity and associate it with ecosystem functioning. T2 - 8th Congress of European Microbiologists - FEMS 2019 CY - Glasgow, UK DA - 07.11.2019 KW - NanoSIMS KW - Biodiversity PY - 2019 AN - OPUS4-49077 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Single-cell trait-based biodiversity in microbial communities and its link to ecosystem functioning in a stratified lake N2 - A fundamental question in ecology is how biodiversity affects ecosystem function. Biodiversity is commonly estimated based on genetic variation. We investigated a new approach that defines and measures biodiversity in complex microbial communities. We used the variation in multiple functionally-relevant, phenotypic traits measured in parallel in single cells as a metric for microbial phenotypic diversity. We studied phenotypic diversity and ecosystem functioning throughout different photosynthetic layers dominated by divergent microbial communities in the gradient of Lago di Cadagno. We determined genetic diversity by 16S and 18S amplicon sequencing and bulk ecosystem functioning (photosynthesis). In addition, we determined phenotypic diversity using single-cell technologies such as nanometer-scale secondary ion mass spectrometry (NanoSIMS) correlated with confocal laser scanning microscopy (CLSM) and scanning flow-cytometry. We measured functional trait variation between individuals in 13CO2 fixation, 15NH4+ uptake, and variation in physio-morphological cell traits, such as cell size, shape, and auto-fluorescence for various pigments related to photosynthesis. We used the distances between individuals in a multidimensional trait space to derive phenotypic trait-based diversity indices, such as trait richness, trait evenness, and trait divergence. We find that phenotypic trait divergence associates with ecosystem functioning, whereas genetic diversity does not. Including activity-based, single-cell phenotypic measurements with NanoSIMS provided an additional accuracy to the trait-based diversity assessment and allowed us to formulate hypotheses on the mechanisms that shape the correlation between phenotypic diversity and eco-system function. Together, our results show that phenotypic diversity is a meaningful concept to measure microbial biodiversity and associate it with ecosystem functioning. T2 - 8th Congress of European Microbiologists - FEMS 2019 CY - Glasgow, UK DA - 07.11.2019 KW - NanoSIMS KW - Biodiversity PY - 2019 AN - OPUS4-49080 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Persistence as a microbial survival strategy against biocides and its link to antibiotic resistance evolution N2 - Question: One cornerstone to prevent the spread of bacteria in clinical and industrial settings is the application of biocides including disinfectants and preservatives. However, bacteria can evolve resistance to biocides, which in turn can confer cross-resistance to antibiotics. Additionally, clonal bacterial populations can display phenotypic heterogeneity with respect to the tolerance of antibiotic stress leading to a prolonged survival of a sub-population; this phenomenon is termed persistence. Persistence to antibiotics is an evolvable trait and can serve as a stepping stone for the evolution of genetically encoded resistance. Until now, there is a lack of systematic studies that investigate if bacterial populations establish persister subpopulations that tolerate disinfectant stress longer than most of the population. Our objective is to investigate if persistence is a bacterial survival strategy against biocides. Furthermore, we investigate the mechanisms of biocide persistence and if persistence can evolve in the face of fluctuating exposure to biocides. Lastly, we test if the evolved mechanisms of biocide tolerance lead to biocide resistance and if they confer cross-tolerance and cross-resistance against antibiotics. Methods: We use time-kill assays in the presence of biocides and experimental evolution combined to whole-genome sequencing in the model organism E. coli. Results: We find persister sub-populations against chlorhexidine and quaternary ammonium compounds, but not to alcohols, aldehydes and oxidative compounds. We will present the relationship of mechanisms known to underlie antibiotic persister formation to the formation of persisters against biocides. In addition, we will present data from an ongoing evolution experiment for persistence against biocides. Conclusion There is a link between antibiotic and biocide persistence with possible implications for antibiotic resistance evolution and spread. T2 - 5th International Symposium on the Environmental Dimension of Antibiotic Resistance - EDAR 2019 CY - Hong Kong, China DA - 09.06.2019 KW - Antimicrobial resistance KW - Biocides KW - Persister cells PY - 2019 AN - OPUS4-49083 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Persistence as a microbial survival strategy against biocides and its link to antibiotic resistance evolution N2 - Background: One cornerstone to prevent the spread of antibiotic resistant bacteria in clinical settings is the application of disinfectants. However, bacteria can evolve resistance to disinfectants, which in turn can confer cross-resistance to antibiotics. Additionally, clonal bacterial populations can display phenotypic heterogeneity with respect to the tolerance of antibiotic stress leading to a prolonged survival of a sub-population; this phenomenon is termed persistence. Persistence to antibiotics is an evolvable trait and can serve as a stepping stone for the evolution of genetically encoded resistance. Until now, there is a lack of systematic studies that investigate if bacterial populations establish persister subpopulations that tolerate disinfectant stress longer than most of the population. Objectives: Our objective is to investigate if persistence is a bacterial survival strategy against disinfectants. Furthermore, we investigate the mechanisms of disinfectant persistence and if persistence can evolve in the face of fluctuating exposure to disinfectants. Lastly, we test if the evolved mechanisms of disinfectant tolerance lead to disinfectant resistance and if they confer cross-tolerance and cross-resistance against antibiotics. Methods: We use time-kill assays in the presence of disinfectants and experimental evolution combined to whole-genome sequencing in the model organism E. coli. Results: We find persister sub-populations against chlorhexidine and quaternary ammonium compounds, but not to alcohols, aldehydes and oxidative compounds. We will present the relationship of mechanisms known to underlie antibiotic persister formation to the formation of persisters against disinfectants. In addition, we will present data from an ongoing evolution experiment for persistence against disinfectants. T2 - 8th Congress of European Microbiologists - FEMS 2019 CY - Glasgow, UK DA - 07.11.2019 KW - Antimicrobial resistance KW - Biocides KW - Persister cells PY - 2019 AN - OPUS4-49081 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schreiber, Frank A1 - Ackermann, M. T1 - Environmental drivers of metabolic heterogeneity in clonal microbial populations N2 - Microorganisms perform multiple metabolic functions that shape the global cycling of elements, health and disease of their host organisms, and biotechnological processes. The rates, at which different metabolic activities are performed by individual cells, can vary between genetically identical cells within clonal populations. While the molecular mechanisms that result in such metabolic heterogeneity have attracted considerable interest, the environmental conditions that shape heterogeneity and its consequences have received attention only in recent years. Here, we review the environmental drivers that lead to metabolic heterogeneity with a focus on nutrient limitation, temporal fluctuations and spatial structure, and the functional consequences of such heterogeneity. We highlight studies using single-cell methods that allow direct investigation of metabolic heterogeneity and discuss the relevance of metabolic heterogeneity in complex microbial communities. KW - Phenotypic variation KW - NanoSIMS KW - Diversity KW - Metabolism PY - 2019 UR - https://www.sciencedirect.com/science/article/abs/pii/S095816691930134X?via%3Dihub DO - https://doi.org/10.1016/j.copbio.2019.11.018 VL - 62 SP - 202 EP - 211 PB - Elsevier Ltd. AN - OPUS4-50194 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Kanaris, Orestis A1 - Sobisch, Lydia-Yasmin A1 - Gödt, Annett A1 - Schreiber, Frank A1 - Nordholt, Niclas T1 - Consequences of benzalkonium chloride tolerance for selection dynamics and de novo resistance evolution driven by antibiotics N2 - Biocides are used in large amounts in industrial, medical, and domestic settings. Benzalkonium chloride (BAC) is a commonly used biocide, for which previous research revealed that Escherichia coli can rapidly adapt to tolerate BAC-disinfection, with consequences for antibiotic susceptibility. However, the consequences of BAC tolerance for selection dynamics and resistance evolution to antibiotics remain unknown. Here, we investigated the effect of BAC tolerance in E. coli on its response upon challenge with different antibiotics. Competition assays showed that subinhibitory concentrations of ciprofloxacin—but not ampicillin, colistin and gentamicin—select for the BAC-tolerant strain over the BAC-sensitive ancestor at a minimal selective concentration of 0.0013–0.0022 µg/mL. In contrast, the BAC-sensitive ancestor was more likely to evolve resistance to ciprofloxacin, colistin and gentamicin than the BAC-tolerant strain when adapted to higher concentrations of antibiotics in a serial transfer laboratory evolution experiment. The observed difference in the evolvability of resistance to ciprofloxacin was partly explained by an epistatic interaction between the mutations conferring BAC tolerance and a knockout mutation in ompF encoding for the outer membrane porin F. Taken together, these findings suggest that BAC tolerance can be stabilized in environments containing low concentrations of ciprofloxacin, while it also constrains evolutionary pathways towards antibiotic resistance. KW - AMR KW - Resistance evolution KW - Resistance selection PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-653842 DO - https://doi.org/10.1038/s44259-025-00170-8 SN - 2731-8745 VL - 4 IS - 1 SP - 1 EP - 13 PB - Springer Science and Business Media LLC AN - OPUS4-65384 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Single-cell trait-based biodiversity in microbial communities N2 - A fundamental question in ecology is how biodiversity affects ecosystem function. Biodiversity is commonly estimated based on genetic variation. We investigated a new approach that defines and measures biodiversity in complex microbial communities. We used the variation in multiple functionally-relevant, phenotypic traits measured in parallel in single cells as a metric for microbial phenotypic diversity. We studied phenotypic diversity and ecosystem functioning throughout different photosynthetic layers dominated by divergent microbial communities in the gradient of Lago di Cadagno. We determined genetic diversity by 16S and 18S amplicon sequencing and bulk ecosystem functioning (photosynthesis). In addition, we determined phenotypic diversity using single-cell technologies such as nanometer-scale secondary ion mass spectrometry (NanoSIMS) correlated with confocal laser scanning microscopy (CLSM) and scanning flow-cytometry. We measured functional trait variation between individuals in 13CO2 fixation, 15NH4+ uptake, and variation in physio-morphological cell traits, such as cell size, shape, and auto-fluorescence for various pigments related to photosynthesis. We used the distances between individuals in a multidimensional trait space to derive phenotypic trait-based diversity indices, such as trait richness, trait evenness, and trait divergence. We find that phenotypic trait divergence associates with ecosystem functioning, whereas genetic diversity does not. Including activity-based, single-cell phenotypic measurements with NanoSIMS provided an additional accuracy to the trait-based diversity assessment and allowed us to formulate hypotheses on the mechanisms that shape the correlation between phenotypic diversity and eco-system function. Together, our results show that phenotypic diversity is a meaningful concept to measure microbial biodiversity and associate it with ecosystem functioning. T2 - 17th International Symposium on Microbial Ecology (ISME 17) CY - Leipzig, Germany DA - 12.08.2018 KW - Trait-based ecology KW - Phenotypic diversity KW - Lake Cadagno PY - 2018 AN - OPUS4-46273 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Varadarajan, A. A1 - Allan, R. A1 - Valentin, J. A1 - Castañeda Ocampo, O. A1 - Somerville, V. A1 - Buhmann, M. A1 - West, J. A1 - Skipp, Paul A1 - van der Mei, H. A1 - Ren, Q. A1 - Schreiber, Frank A1 - Webb, J. A1 - Pietsch, Franziska A1 - Ahrens, C. T1 - An integrated model system to gain mechanistic insights into biofilm-associated antimicrobial resistance in Pseudomonas aeruginosa MPAO1 N2 - Pseudomonas aeruginosa MPAO1 is the parental strain of the widely utilized transposon mutant collection for this important clinical pathogen. Here, we validate a model system to identify genes involved in biofilm growth and biofilm-associated antibiotic resistance. Our model employs a genomics-driven workflow to assemble the complete MPAO1 genome, identify unique and conserved genes by comparative genomics with the PAO1 reference strain and genes missed within existing assemblies by proteogenomics. Among over 200 unique MPAO1 genes, we identified six general essential genes that were overlooked when mapping public Tn-seq data sets against PAO1, including an antitoxin. Genomic data were integrated with phenotypic data from an experimental workflow using a user-friendly, soft lithography-based microfluidic flow chamber for biofilm growth and a screen with the Tn-mutant library in microtiter plates. The screen identified hitherto unknown genes involved in biofilm growth and antibiotic resistance. Experiments conducted with the flow chamber across three laboratories delivered reproducible data on P. aeruginosa biofilms and validated the function of both known genes and genes identified in the Tn-mutant screens. Differential Protein abundance data from planktonic cells versus biofilm confirmed the upregulation of candidates known to affect biofilm formation, of structural and secreted proteins of type VI secretion systems, and provided proteogenomic evidence for some missed MPAO1 genes. This integrated, broadly applicable model promises to improve the mechanistic understanding of biofilm formation, antimicrobial tolerance, and resistance evolution in biofilms. KW - Biofilms PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-515108 DO - https://doi.org/10.1038/s41522-020-00154-8 VL - 6 IS - 1 SP - Article number: 46 PB - Springer Nature CY - Singapore AN - OPUS4-51510 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Schreiber, Frank T1 - Hydro-Touch test - Evaluation of Transfer of Microorganisms to Non-porous Surfaces and their antimicrobial Activity N2 - This presentation describes a new test procedure that allows to determine the transfer of microorganisms to surfaces and to measure the antimicrobial efficacy of those surfaces. The main improvement of the method is that is assesses the effect of the surfaces under semi-dry, realistic conditions by transferring microorganisms via a gelatin pad linked to a stamp of defined weight. Comparing the performance of the established antimicrobial materials with currently used wet test methods and the newly developed method shows reduced antimicrobial activity of those materials under semi-dry conditions. T2 - 64. Sitzung des DIN NA 176-03-06 AA „Chemische Desinfektionsmittel und Antiseptika in der Humanmedizin“ CY - Online meeting DA - 29.09.2025 KW - Antimicrobial surfaces KW - Standardization PY - 2025 AN - OPUS4-64870 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -