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Jaspars, M.

Publications and source records attributed to Jaspars, M..

7 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↗

New Interactive Machine Learning Tool for Marine Image Analysis

Due to advances in imaging technologies, the rate of marine video and image data collection is drastically increasing. Often these datasets are not analysed to their full potential as extracting information for multiple species, such as their presence and surface area, is incredibly time-consuming. This study demonstrates the potential of a new open-source interactive machine learning tool, RootPainter, to analyse large marine image datasets quickly and accurately. The tool was initially developed to measure plant roots, but here was tested on its ability to measure the presence and surface area of the cold-water coral reef associate sponge species, Mycale lingua, in two types of underwater image data: 18,346 time-lapse images and 1,420 remotely operated vehicle video frames. New corrective annotation metrics integrated with RootPainter, such as dice score and species area error, allow for the objective assessment of when to stop model training and reduce the need for manual model validation. Three highly accurate Mycale lingua models were created using RootPainter, as indicated by their average dice score of 0.94 {+/-} 0.06. Model transfer and optimisation aided in the production of two of these models, increasing analysis efficiency from 6 to 16 times faster than manual annotation in Photoshop, for underwater observatory images. Sponge and surface area measurements were extracted from both datasets allowing future investigation of sponge behaviours and distributions. This study demonstrates that interactive machine learning tools and model sharing have the potential to dramatically increase image analysis speeds, collaborative research, and our collective knowledge on spatiotemporal patterns in biodiversity.

ecology↗

Rice biological nitrification inhibition efficiency depends on plant genotype exudation rate

Nitrification largely contributes to global nitrogen (N) fertiliser loss and nitrous oxide emissions in agricultural soils, including rice cultivation, Asias largest fertiliser consumer. One promising mitigation strategy to achieve greener agriculture involves biological nitrification inhibition (BNI) by plant-derived compounds. Future implementation of this nature-based approach in agricultural settings requires a better understanding of the impact of plant physiological traits on BNI efficiency and nitrification dynamics. We targeted those objectives in five rice genotypes grown in greenhouse conditions. The BNI efficiency was variable among the five plant genotypes, with a stronger inhibition of the ammonia-oxidiser in the rhizosphere than in the bulk soil. We identified that the root mass, root exudation rate and chemical composition are factors explaining the distinct BNI efficiencies in the rice genotypes, with plants having a high BNI efficiency having a small root mass and a high root exudation rate. Using the BNI efficiency assay of root exudates on multiple AO cultures, we demonstrated that AO bioassay could accurately represent the BNI variability in the soil. Finally, we identified a novel BNI compound, N-butyldodecane-1-amine (NBDA), in two high-BNI genotypes. NBDA specifically inhibited ammonia oxidisers by inhibiting enzymes involved in the ammonia oxidation pathway. These findings demonstrate that BNI research integrating plant physiology, microbial ecology, and chemistry has a strong potential for providing more sustainable agriculture.

microbiology↗

FERMO: a Dashboard for Streamlined Rationalized Prioritization of Molecular Features from Mass Spectrometry Data

Small molecules shape phenotypic variation by modulating biological processes, yet linking specific molecules to observed traits remains challenging due to the complexity of biological samples. Liquid chromatography-tandem mass spectrometry routinely detects hundreds of molecules per sample, and computational tools aid in the selection of the biologically relevant subset by organizing, annotating, and integrating orthogonal data. Existing tools typically focus on facilitating data-driven exploration to support manual interpretation, rather than more objective, data-driven prioritization and hypothesis-generation. Here, we introduce FERMO, a free online dashboard interface for prioritization of molecular features and samples associated with phenotypes of interest. FERMOs modular framework automates data processing, annotation, and integration of standardized phenotypic and other metadata. FERMO supports both exploratory and targeted analysis through efficient interactive visualization, reproducible prioritization, and data filtering. We demonstrate FERMOs utility in benchmarking studies prioritizing bioactive compounds from complex biological matrices. FERMO is freely available at https://fermo.bioinformatics.nl/.

bioinformatics↗

Inhibition of Quorum Sensing System in Pseudomonas aeruginosa by Psammaplin A and Bisaprasin Isolated from the Marine Sponge Aplysinella rhax

Natural products isolated from marine sponges have exhibited profound bioactivity and, in some cases, serve as potent quorum sensing inhibitory agents by preventing microbial biofilm formation. In this study, the inhibitory potential of the psammaplin type compounds, psammaplin A (1) and bisaprasin (2), isolated from the marine sponge, Aplysinella rhax, was evaluated in the quorum-sensing inhibitory assay based on the Pseudomonas aeruginosa PAO1 lasB-gfp and P. aeruginosa PAO1 rhlA-gfp biosensor strains. The result indicated that psammaplin A (1) showed moderate inhibition against lasB-gfp biosensor strains but significantly inhibited the QS-gene promoters, rhlA-gfp with IC50 value at 30.69 and 2.64 M, respectively. In contrast, bisaprasin (2) displayed significant inhibition for both biosensor strains, lasB-gfp and rhlA-gfp with IC50 values at 8.70 and 8.53 M, respectively. To our knowledge, the antiquorum sensing activity of these marine-derived bromotyrosine compounds is described here for the first time. Significance and Impact of the StudyThe attention of the scientific community has been drawn to using marine sources to find novel quorum sensing inhibitors as antipathogenic drugs to combat antimicrobial resistance and pathogenesis caused by the proliferation of pathogenic bacteria mediated by the quorum sensing (QS) system. By blocking the QS signalling communication, the ability to assemble an organised community structure that enables drug resistance and production of virulence factors will be attenuated. The significance of this investigation is based on the discovery of bromotyrosine derivatives as potential new drug leads for the development of antipathogenic agents.

microbiology↗

Iron-meditated fungal starvation by Lupine rhizosphere-associated and extremotolerant Streptomyces sp. S29 desferrioxamine production

Siderophores are iron-chelating compounds that aid iron uptake, one of the key strategies for microorganisms to carve out ecological niches in microbially diverse environments. Desferrioxamines are the principal siderophores produced by Streptomyces spp. Their biosynthesis has been well studied and as a consequence, the chemical potential of the pathway continues to expand. With all of this in mind, our study aimed to explore extremotolerant and Lupine rhizosphere-derived Streptomyces sp. S29 for its potential antifungal capabilities. Cocultivation of isolate S29 was carried out with Aspergillus niger and Botrytis cinerea, both costly fungal phytopathogens in the wine industry, to simulate their interaction within the rhizosphere. The results indicate that not only is Streptomyces sp. S29 extraordinary at producing hydroxamate siderophores but uses siderophore production as a means to starve the fungi of iron. High resolution LC-MS/MS followed by GNPS molecular networking was used to observe the datasets for desferrioxamines and guided structure elucidation of new desferrioxamine analogues. Comparing the new chemistry, using tools like molecular networking and MS2LDA, with the known biosynthesis, we show that the chemical potential of the desferrioxamine pathway has further room for exploration.

microbiology↗

The Cryptococcus neoformans Titan cell is an inducible and regulated morphotype underlying pathogenesis

Fungi undergo changes in cell shape in response to environmental stimuli that drive pathogenesis and niche adaptation, such as the yeast-to-hyphal transition of dimorphic fungi in response to changing temperature. The basidiomycete Cryptococcus neoformans undergoes an unusual morphogenetic transition in the host lung from haploid yeast to large, highly polyploid cells termed Titan cells. Titan cells influence fungal interaction with host cells, including through increased drug resistance, altered cell size, and altered Pathogen Associated Molecular Pattern exposure. Despite the important role these cells play in pathogenesis, understanding the environmental stimuli that drive the morphological transition, and the molecular mechanisms underlying their unique biology, has been hampered by the lack of a reproducible in vitro induction system. Here we demonstrate reproducible in vitro Titan cell induction in response to environmental stimuli consistent with the host lung. In vitro Titan cells exhibit all the properties of in vivo generated Titan cells, the current gold standard, including altered capsule, cell wall, size, high mother cell ploidy, and aneuploid progeny. We identify bacterial peptidoglycan as a serum compound associated with shift in cell size and ploidy, and demonstrate the capacity of bronchial lavage fluid and E. coli co-culture to induce Titanisation. Additionally, we demonstrate the capacity of our assay to identify established and previously undescribed regulators of Titanisation in vitro and investigate the Titanisation capacity of clinical isolates and their impact on disease outcome. Together, these findings provide new insight into the environmental stimuli and molecular mechanisms underlying the yeast-to-titan transition and establish an essential in vitro model for the future characterization of this important morphotype.\n\nAuthor SummaryChanges in cell shape underlie fungal pathogenesis by allowing immune evasion and dissemination. Aspergillus and Candida albicans hyphae drive tissue penetration. Histoplasma capsulatum and C. albicans yeast growth allows evasion and dissemination. As major virulence determinates, morphogenic transitions are extensively studied in animal models and in vitro. The pathogenic fungus Cryptococcus neoformans is a budding yeast that, in the host lung, switches to an unusual morphotype termed the Titan cell. Titans are large, polyploid, have altered cell wall and capsule, and produce haploid daughters. Their size prevents engulfment by phagocytes, yet they are linked to dissemination and altered immune response. Despite their important influence on disease, replicating the yeast-to-Titan switch in vitro has proved challenging. Here we show that Titans are induced by host-relevant stimuli, including serum and bronchio-alveolar lavage fluid. We identify bacterial peptidoglycan as a relevant inducing compound and predict an in vivo Titan defect for a clinical isolate. Genes regulating in vivo Titanisation also influence in vitro formation. Titanisation is a conserved morphogenic switch across the C. neoformans species complex. Together, we show that Titan cells are a regulated morphotype analogous to the yeast-to-hyphal transition and establish new ways to study Titans outside the host lung.

microbiology↗