Cellular & Molecular Imaging

Background Microsporidia sp. MB, a microsporidian symbiont found naturally in Anopheles mosquitoes, has potential as a novel malaria control tool since it can inhibit Plasmodium development and transmission. The most feasible MB-based Plasmodium control strategy would involve dissemination through live mosquito releases, or release of spores infective to mosquito larvae. To implement either strategy, establishment of stable mosquito colonies carrying MB at a high frequency is likely to be essential. The progeny of field caught An. gambiae s.l from Burkina Faso were isolated for individual egg laying and tested for MB. The progeny of the MB positive females were pooled and this process was repeated for multiple generations. The relative density of MB in different life stages and tissues of the An. coluzzii host was examined using a novel duplex qPCR assay. We also examined the impact of MB on fecundity through individualization for egg laying and counting of eggs. Finally, we examined laid eggs for presence of MB spores. Results Three An. coluzzii colonies and one An. gambiae s.l hybrid colony were established with high prevalence and density of MB and were maintained for more than two years with minimal intervention. MB prevalence and density was highest in eggs and adult females and lowest in L4 larvae; in adults density was highest in the gonads. Additionally, MB density increased in ovary samples following blood feeding which was likely due to the activation of sporogony. The production of spores is the reason why MB-carrying females lay more white non-hatching eggs and show a small reduction in fecundity. Conclusions Establishment of several stable MB carrying An. gambiae s.l colonies and understanding the impact of spores on fecundity are significant steps forward in developing MB as a malaria control tool.

Plasmodium parasites, the causative agents of malaria, undergo complex replication within vertebrate and insect hosts, presenting unique opportunities for therapeutic intervention. A key challenge during these replication events, i.e., schizogony in vertebrate red blood cells and sporogony in oocysts within mosquitos, is ensuring the faithful partitioning of nuclei and organelles into the numerous daughter cells that form at once from a single parent. While nuclear microtubule-organizing centers, or centriolar plaques (CPs), have been hypothesized to play a central role in this process, the molecular mediators linking the CPs and organelles remain incompletely defined. Here, we characterize two striated fiber assemblin (SFA) homologs, SFA1 and SFA2, in Plasmodium falciparum and Plasmodium berghei across two hosts. We show that these SFAs form a physical bridge between the CP and the nascent apical poles of daughter cells, facilitating high-fidelity progeny formation during schizogony and sporogony. Loss of SFA function disrupts merozoite and sporozoite formation, with profound consequences for transmission. These findings establish SFAs as essential organizers of parasite morphogenesis and highlight them as potential targets for antimalarial therapies. This submission includes the source microscopy image data for experiments performed in P. falciparum.

Polyphasic studies on cyanobacterial biodiversity are scarce in the Caribbean and have never been conducted in the Dominican Republic. In this study we analysed sixteen cyanobacterial isolates sampled from biofilms growing on rocks and related to freshwater, saline and thermal environments across the country. A polyphasic approach was employed, incorporating 16S rRNA gene phylogenetic analysis, molecular identity assessments (p-distance), 16S–23S ITS sequence comparison and secondary structure analysis, alongside morphological characterization and habitat comparison. The strains were distributed across the orders Nodosilineales, Oculatellales, Oscillatoriales and Nostocales. Eleven strains were identified as belonging to Almyronema, Euryhalinema, Salileptolyngbya, Nodosilinea, Reticulonema, Vacuolonema, Capilliphycus, Purpureonostoc, Violetonostoc, Desmonostoc and Hapalosiphon. Additionally, four strains formed three distinct clades and presented low 16S rRNA gene identities with their phylogenetically closest genera, suggesting the existence of three undescribed lineages pending comprehensive polyphasic study. At the species level, four strains were considered undescribed lineages pending comprehensive polyphasic study and one strain (LEGE 171504) was described as a new species of Salileptolyngbya. This study represents the first investigation into the cyanobacterial diversity of Dominican Republic expanding the distribution of the identified taxa. Moreover, this is the first report of Salileptolyngbya in the Caribbean region and in brackish waters, as well as the first newly described cyanobacterial species from the Dominican Republic.

Tara Expeditions are global scientific voyages that probe morphological and molecular diversity, evolution and ecology of marine plankton to explore how they are impacted by changes in the Earth's climate. The first expeditions collected samples of marine plankton containing viruses, bacteria, archaea, protists and planktonic metazoans living in the photic layer of the world's oceans. These expeditions, the first taking place between 2009 and 2013, include Tara Oceans: a global view, and Tara Oceans Polar Circle, both of which followed the same sampling protocol. This dataset includes 1074 pictures of 284 planktonic taxa (mainly microalgae and other Ciliate and Radiolarian protists) collected from the vicinity of the Marquesas Islands in the Southern Pacific Ocean during the Tara Oceans expedition. Multiple samples particularly of the size fractions 5-20 and 20 180 um from four sites and two depths were processed with different methods and studied in detail using scanning electron microscopy.

Light microscopy and scanning electron microscopy images of snow algae field samples containing Rosetta gen. nov., including type material.

Bacteria occupy heterogeneous environments, attaching and growing within pores in materials, living hosts, and matrices like soil. Systems that permit high-resolution visualization of dynamic bacterial processes within the physical confines of a realistic and tractable porous media environment are rare. Here we use microfluidics to replicate the grain shape and packing density of natural sands in a 2D platform to study the flow-induced spatial evolution of bacterial biofilms underground. We introduce a wildtype strain (Pantoea sp. YR343, n=3) or an EPS-defective strain (Pantoea sp. YR343 ΔUDP, n=3) to the porous media platform and then simulate a rainfall event using gravity-driven flow of bacterial growth media.

Tara Expeditions are global scientific voyages that probe morphological and molecular diversity, evolution and ecology of marine plankton to explore how they are impacted by changes in the Earth's climate. The first expeditions collected samples of marine plankton containing viruses, bacteria, archaea, protists and planktonic metazoans living in the photic layer of the world's oceans. These expeditions, the first taking place between 2009 and 2013, include Tara Oceans: a global view, and Tara Oceans Polar Circle, both of which followed the same sampling protocol. This dataset includes 1074 pictures of 284 planktonic taxa (mainly microalgae and other Ciliate and Radiolarian protists) collected from the vicinity of the Marquesas Islands in the Southern Pacific Ocean during the Tara Oceans expedition. Multiple samples particularly of the size fractions 5-20 and 20 180 um from four sites and two depths were processed with different methods and studied in detail using scanning electron microscopy.

The cyanoHAB forming cyanobacteria Microcystis and Planktothrix frequently produce high intracellular amounts of microcystins (MCs) or anabaenopeptins (APs). In this study, chemically modified MCs and APs have been localized on a subcellular level in Microcystis and Planktothrix applying copper-catalyzed alkyne-azide cycloaddition (CuACC). For this purpose, three different non-natural amino acids carrying alkyne or azide moieties were fed to individual P. agardhii strains No371/1 and CYA126/8 as well as to M. aeruginosa strain Hofbauer showing promiscuous incorporation of various amino acid substrates during non-ribosomal peptide synthesis (NRPS). Moreover, CYA126/8 peptide knock-out mutants and non-toxic strain Synechocystis PCC6803 were processed under identical conditions. Simultaneous labelling of modified peptides with ALEXA405 and ALEXA488 and lipid staining with BODIPY 505/515 were performed to investigate the intracellular location of the modified peptides. Pearson correlation coefficients (PCC) obtained from confocal images were calculated between the different fluorophores and the natural autofluorescence (AF), and between labelled modified peptides and dyed lipids to investigate the spatial overlap between peptides and the photosynthetic complex, and between peptides and lipids. Overall, labelling of modified MCs (M. aeruginosa) and APs (P. agardhii) using both fluorophores revealed in-creased intensity in MC/AP producing strains. For Synechocystis lacking NRPS, no labelling using either ALEXA405 or ALEXA488 was observed. Lipid staining in M. aeruginosa and Synechocystis was intense while in Planktothrix it was more variable. When compared with AF, both modified peptides and lipids showed a heterologous distribution. In comparison, the correlation between stained lipids and labelled peptides was not increased suggesting a reduced spatial overlap.

OME-NGFF converted study from idr0090. Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved drugs with novel mechanisms of action to avoid cross-resistance. Current cell-based drug screens are, however, restricted to binary live/dead readouts with no provision for mechanism of action prediction. Machine learning methods are increasingly being used to improve information extraction from imaging data. Such methods, however, work poorly with heterogeneous cellular phenotypes and generally require time-consuming human-led training. We have developed a semi-supervised machine learning approach, combining human- and machine-labelled training data from mixed human malaria parasite cultures. Designed for high-throughput and high-resolution screening, our semi-supervised approach is robust to natural parasite morphological heterogeneity and correctly orders parasite developmental stages. Our approach also reproducibly detects and clusters drug-induced morphological outliers by mechanism of action, demonstrating the potential power of machine learning for accelerating cell-based drug discovery.

The following data includes raw images, metadata, measurements and processed images as well as classifiers for image segmentations and masks created with the ImageJ/Fiji plugin Labkit to measure the leaf area. This dataset provides all acquired information for my Bachelor's thesis about leaf traits of Bryophyta related moss species.