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Smahajcsik, D.

Publications and source records attributed to Smahajcsik, D..

3 recordsLinked to original sources

Multi-omics reveals mechanisms behind pathogen inhibition by a microalgal microbiome

Aquaculture is an essential food production sector for meeting the global demand for high-quality protein. However, the sector faces significant challenges from bacterial pathogens, particularly Vibrio anguillarum, which causes vibriosis in numerous commercially important fish species. Current disease management strategies rely heavily on antibiotics, leading to antimicrobial resistance and environmental concerns. Microalgal microbiomes represent promising alternatives for sustainable pathogen control, yet the molecular mechanisms underlying their inhibitory activity remain poorly understood. Here, we employed an integrated multi-omics approach to elucidate the mechanisms by which the microbiome of microalga Isochrysis galbana inhibits the highly virulent fish pathogen V. anguillarum strain 90-11-286. Using a GFP-based inhibition assay, we confirmed potent pathogen suppression by the algal microbiome, achieving complete inhibition at a 1:1000 ratio of pathogen to microbiome. Through 16S rRNA gene amplicon sequencing, metagenomics, metatranscriptomics, and metabolomics, we characterized community composition, genomic potential, gene expression patterns, and metabolite production during pathogen challenge. The inhibitory microbiome was dominated by Alteromonas macleodii and Vreelandella alkaliphila, with high-quality metagenome-assembled genomes revealing substantial secondary metabolite biosynthetic potential. Metatranscriptomic analysis revealed active expression of biosynthetic gene clusters encoding, for example, non-ribosomal peptide synthetases, particularly a siderophore gene cluster in V. alkaliphila. Metabolomic profiling confirmed the production of hydroxamate siderophores in the microbiome, including desferrioxamine analogues, proferrioxamine G1t, and tenacibactin D, which accumulated during pathogen inhibition, as well as 10 putative new compounds. Notably, siderophore production was constitutive rather than pathogen-induced, suggesting iron competition as the primary inhibitory mechanism. Our findings demonstrate that iron sequestration through siderophore production represents a key strategy for pathogen suppression in marine microbial communities. This work provides molecular evidence for microbiome-mediated disease control and establishes a foundation for developing rationally designed multi-strain probiotic consortia for sustainable aquaculture applications, offering an environmentally friendly alternative to antibiotic-based pathogen management strategies.

microbiology↗

Potential probiotic aquaculture microbiomes: detecting inhibition of the fish pathogen Vibrio anguillarum by a complex algal community

Intensive fish rearing in aquaculture is challenged by infectious diseases, and although vaccines have been successfully developed for mature fish, alternative disease control measures are needed for fish larvae and juveniles. Probiotics offer a promising alternative to antibiotics, with the potential to reduce the risk of antibiotic resistance. Probiotics are typically isolated and used as pure cultures, however, in natural environments it is the concerted effort of the complex microbiome that keeps pathogens at bay. Here, we developed an in vitro assay to evaluate the anti-pathogen efficacy of mixed algal microbiomes from the live-feed microalgae Tetraselmis suecica and Isochrysis galbana. The inhibition of a GFP-tagged Vibrio anguillarum, a key fish pathogen, by microbial communities, was measured and quantified as reduction in fluorescence. The Isochrysis galbana microbiome was more inhibitory to V. anguillarum than the Tetraselmis suecica microbiome. During co-culture with the pathogen, the bacterial density of the Isochrysis microbiomes increased whilst the diversity was reduced as determined by metataxonomic analyses. Bacteria isolated from the fully inhibitory microbiomes were members of Alteromonadaceae, Halomonadaceae, Rhodobacteraceae, Vibrionaceae, Flavobacteriaceae, and Erythrobacteraceae. Although some strains individually inhibited the pathogen, these were not the key members of the microbiome and enhanced inhibition was observed when Sulfitobacter pontiacus D3 and Halomonas campaniensis D2 were co-cultured, even though neither were inhibitory as monocultures. Thus, this study demonstrates that microbial communities derived from natural algal microbiomes can have anti-pathogen effects, and that bacterial co-cultures may offer synergistic advantages over monocultures as probiotics, highlighting their promise for aquaculture health strategies. IMPORTANCEAquaculture is the fastest growing food protein producing sector and sustainable disease control measures are required. Probiotics have gained interest as a promising solution for combating fish pathogens and using mixtures of microorganisms rather than pure cultures may represent a more stable pathogen control. We developed an assay using GFP-tagging of a fish pathogen, enabling the quantitative assessment of the anti-pathogen effects of complex microbiomes. We show that the efficiency of pathogen suppression can be increased with co-cultures compared to monocultures, thus emphasising the potential in using mixtures of bacteria as probiotics.

microbiology↗

Visualizing the pH in Escherichia coli colonies via the sensor protein mCherryEA allows high-throughput screening of mutant libraries

Cytoplasmic pH is tightly regulated by diverse active mechanisms and interconnected regulatory processes in bacteria. Many processes and regulators underlying pH-homeostasis have been identified via phenotypic screening of strain libraries towards non-growth at low or high pH values. Direct screens with respect to changes of the internal pH in mutant strain collections are limited by laborious methods including fluorescent dyes or radioactive probes. Genetically encoded biosensors equip single organisms or strain libraries with an internal sensor molecule already during the generation of the strain. In this study, we used the pH-sensitive mCherry variant mCherryEA as ratiometric pH biosensor. We visualized the internal pH of E. coli colonies on agar plates by the use of a Gel-Doc imaging system. Combining this imaging technology with robot-assisted colony picking and spotting allowed us to screen and select mutants with altered internal pH values from a small transposon mutagenesis derived E. coli library. Identification of the TN- insertion sites in strains with altered internal pH levels revealed that the transposon was inserted into trkH (encoding a transmembrane protein of the potassium uptake system) or the rssB gene (encoding the anti-adaptor protein RssB which mediates the proteolytic degradation of the general stress response regulator RpoS), two genes known to be associated with pH-homeostasis and pH stress adaptation. This successful screening approach demonstrates that the pH- sensor based analysis of arrayed colonies on agar plates is a sensitive approach for the fast identification of genes involved in pH-homeostasis or pH stress adaptation in E. coli. ImportancePhenotypic screening of strain libraries on agar plates has become a versatile tool to understand gene functions and to optimize biotechnological platform organisms. Screening is supported by genetically encoded biosensors that allow to easily measure intracellular processes. For this purpose, transcription-factor-based biosensors have emerged as the sensor-type of choice. Here, the target stimulus initiates the activation of a response gene (e.g. a fluorescent protein) followed by transcription, translation and maturation. Due to this mechanistic principle, biosensor readouts are delayed and cannot report the actual intracellular state of the cell in real-time. To capture fast intracellular processes adequately, fluorescent reporter proteins are extensively applied. But these sensor-types are not utilized for phenotypic screenings so far. To take advantage of their properties, we here established an imaging method, which allows to apply a fast ratiometric sensor protein for assessing the internal pH of colonies in a high-thoughput manner.

microbiology↗