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A Modular Genetic Toolbox for Precise Gene Regulation and Multi-Color Imaging in Streptococci

Fluorescent labeling is a powerful tool in microbiology allowing live cell imaging and providing insights into dynamic cellular processes, quantification of gene expression and protein subcellular localization. Although multicolor imaging is widely used in Streptococcus pneumoniae and S. mutans, variants other than the green fluorescent protein (GFP) have rarely been applied in other streptococcal species. To address this gap in the streptococcal molecular toolbox, we benchmarked five different fluorescent proteins. The various fluorescent proteins were fused to the C-terminus of S. pneumoniae HlpA, a small non-specific DNA binding histone-like protein. These reporters, combined with four different antibiotic resistance genes, were engineered with various expression systems (inducible or constitutive) to form versatile cassettes. We provide methods to transfer these cassettes to different streptococcal species including S. salivarius and S. thermophilus. As a proof of concept, we generated a triple labeled S. salivarius strain in which HlpA, FtsZ and DivIVA were fused to three spectrally-distinct compatible fluorescent proteins. Multiple fluorescent labeling has broad applications for deciphering a wide range of scientific problems, from cellular processes to infectious disease mechanisms. The availability of these cassettes should allow for a wider use of single-cell labeling strategies in the Streptococcus clade and other closely related bacteria.

microbiology↗

Validation of Gentamicin and Streptomycin Stability for On-Orbit Microbial Monitoring

The Genomic Enumeration of Antibiotic Resistance in Space (GEARS) flight project seeks to characterize the frequency and genomic identity of antibiotic-resistant organisms on the ISS and expand in-space sequencing-based diagnostic capabilities. This project selects for antibiotic-resistant microbes on space station surfaces using agar plates containing antibiotics, which can require storage of these plates for several months. However, little published data is available on the longevity of antibiotics in agar plates. Here, we describe the process of antibiotic selection and validation of antibiotic stability for GEARS. A literature review was conducted on several antibiotics for their intrinsic and acquired resistance in Enterococcus and Staphylococcus and stability in solution and in agar. Gentamicin and streptomycin were selected for a long-term study tracking changes in bactericidal ability of the antibiotics in agar plates. After 6.5 months of storage at 4{degrees}C, we found that both antibiotic types remained stable throughout the test period, although they both exhibited evidence of slight degradation. These findings indicated that either antibiotic would be sufficient for the GEARS study based on stability under cold stowage conditions. Furthermore, this study generated information on long-term stability of antibiotics in agar, which can be useful for microbiology applications beyond spaceflight studies.

microbiology↗

FIRST REPORT OF CANDIDA AURIS IN VIETNAM.

Early diagnosis and treatment of Candida auris (C. auris) infections improves mortality. At Cho Ray hospital, we successfully isolated and identified C. auris in all specimens by the Vitek 2 and Vitek MS systems. However, determining the sensitivity of C. auris is still difficult because currently neither the Clinical and Laboratory Standards Institute (CLSI) have standards for interpretation. At Cho Ray hospital, in order to provide clinical antifungal susceptibility testing for C. auris, the Department of Microbiology is relying on the provisional recommendations of the U.S. Centers for Disease Control and Prevention. In Vietnam, there are currently no reports on the sensitivity of C. auris. In this article, we have the first report on the sensitivity of C. auris in Vietnam (specifically at Cho Ray Hospital). The method used in this study was the broth microdilution method recommended by the Clinical and Laboratory Standards Institute (CLSI), specifically using the Sensititre YeastOne antifungal panel. The Sensititre YeastOne antifungal susceptibility testing system (Thermo Fisher Scientific - USA) is based on the principle of broth microdilution combined with a colorimetric indicator, closely approximating the standard microdilution method. Each well contains a specific concentration of antifungal agent along with a color indicator. The minimum inhibitory concentration (MIC) is determined as the lowest concentration at which fungal growth is inhibited--indicated by the absence of a color change. The Sensititre YeastOne panel offers several advantages: it is easy to perform, produces clear and interpretable results, and includes standardized guidelines for result interpretation, making it a convenient and reliable tool for antifungal susceptibility testing in clinical laboratories. Result of the sensitivity rate (S) of C. auris to caspofungin was 81.6%, to fluconazole was 94.7%, and to amphotericin B was 71.1%. Resistance to all 3 antifungal groups (azole, echinocandins, polyene) was 0%, resistance to 2 antifungal groups accounted for 7.9% (3 out of 38 samples), resistance to 1 of 3 antifungal groups was 36.8%. At the same time, the similarity of 38 C. auris infections was also assessed using two methods: microdilution combined with color (Sensititre YeastOne - YO10) and diffusion according to concentration on agar plate (Etest) according to US CDC standards to help laboratories have more choices of methods suitable to the existing conditions in the laboratories.

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Mass Spectrometric Profiling of Microbial Polysaccharides Using Laser Desorption/Ionization - Time-of-Flight (LDI-TOF) and Liquid Chromatography/Mass Spectrometry (LC/MS): A Novel Method for Structural Fingerprinting and Derivatization

Over the last two decades, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been introduced into the routine diagnostic practice of microbiological laboratories for the rapid taxonomic identification of bacteria and yeasts. However, a method that effectively identifies microbes directly from clinical samples using MALDI-TOF MS has not yet been found. One of the promising targets is microbial polysaccharides, which are abundant structures in bacterial and fungal cells. Their rapid and inexpensive analysis, however, is complicated. This study focused on detecting microbial polysaccharides, such as lipopolysaccharides, using MALDI-TOF MS and liquid chromatography-tandem mass spectrometry (LC-MS). We developed a method for fingerprinting polysaccharides by acid hydrolysis and enzymatic digestion. The mono- and oligosaccharides are then derivatized with a newly developed probe (vanillyl pararosaniline, HD ligand), enabling efficient ionization without the use of the MALDI matrix. The esterification of hydroxyl groups by formic acid was also optimized for precise analysis of the saccharides. The method was validated using several saccharides as well as Escherichia coli lipopolysaccharides (O26:B6, O55:B5, and O111:B4). Derivatization using HD ligand also allows the detection of structures containing amines and phosphate groups in positive ion mode. We also optimize the method using crude bacteria (Escherichia coli, Salmonella enterica, Shigella dysenteriae, Shigella boydii, Shigella flexneri, and Legionella pneumophila). This approach opens the possibility of directly detecting microbial polysaccharides from clinical specimens. LDI-TOF MS (without a matrix) also allows specific detection of molecules of interest with suppression of the background signal. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=194 SRC="FIGDIR/small/653920v1_figsch1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@71e410org.highwire.dtl.DTLVardef@133f25corg.highwire.dtl.DTLVardef@16caf0dorg.highwire.dtl.DTLVardef@589cf5_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOScheme 1.C_FLOATNO Analysis of polysaccharides by mass spectrometry after digestion and derivatization using a self-ionizable ligand (HD ligand). C_FIG

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First report of Photobacterium damselae subspecies damselae in Razorbill (Alca torda)

A razorbill (Alca torda) was found dead in Bacoli, Italy, on January 16, 2023, during an exceptional irruptive event. The bird, a young female weighing 800 g with a moderate nutritional status and no external traumatic injuries underwent a post-mortem examination, which revealed coelomitis with severe congestion of the liver, lungs, kidneys, and myocardium. Lung, liver, kidney, and heart samples were collected for microbiological and histopathological analyses. Bacterial isolation on blood agar showed the growth of spherical/ovoid colonies after 48 hours, consistent with the Photobacterium genus. Identification by MALDI-TOF MS and PCR confirmed the presence of Photobacterium damselae subsp. damselae (Pdd), supported by 16S gene sequencing and detection of the ureC gene. PCR screening for virulence factors identified the hlyAch gene in lung samples, suggesting a potentially pathogenic strain in avian species. Histopathological examination showed severe, inflammatory infiltrates and widespread hemorrhages in the liver, the lung tissue and kidneys. In the myocardium, mild and multifocal lymphocytic infiltrates were present. These findings suggest a significant role of P. damselae subsp. damselae in the observed lesions. The results of the study revealed a new cross-species transmission of this potential zoonotic bacterium and the need for further research in this field. ImportanceWith this study we revealed the first isolation of Photobacterium damselae subsp. damselae in a razorbill but especially the first in a migratory bird. We documented a new cross-species transmission of P. damselae subsp. damselae and the need for further research, highlighting its zoonotic potential and therefore raising concerns about potential implications for marine wildlife, aquaculture and human health. Considering the role of migratory birds in the spread of infectious diseases even over long distances and the effect of climate change on marine ecosystems, and consequently on the circulation of pathogens, it is essential to adopt a preventive approach to mitigate this potential zoonotic risks.

microbiology↗

BIO-SPEC: an open-source bench-top parallel bioreactor system.

The BIO-SPEC is an open-source, cost-effective, and modular bench-top bioreactor system designed for batch, sequencing batch, and chemostat cultivation. Featuring thermoelectric condensers to eliminate the need for a chiller, it ensures stable long-term operation. Controlled by a Raspberry Pi, the BIO-SPEC offers flexibility in headplate design, gas supply, and feeding strategies, making it a versatile alternative to high-cost commercial systems. This paper details the design, construction, and validation of the BIO-SPEC system, demonstrating its potential to advance microbiology and bioprocessing research through accessible and reliable hardware at a fraction of the cost.

microbiology↗

Genotypic Characterization of Virulence and Antibiotic-Heavy Metal Resistance in Enterococcus Strains from Vladivostoks Water Bodies

1.BackgroundEnterococcus species are Gram-positive, facultative anaerobic bacteria commonly found in soil, water, and the gastrointestinal tracts of humans and animals. Their ability to acquire antibiotic resistance has made them significant opportunistic pathogens in both clinical and environmental settings. The presence of antibiotic-resistant Enterococcus strains in aquatic environments reflects contamination from human activities and poses a potential risk of horizontal gene transfer to other bacterial species. AimsThis study aims to assess the antibiotic and heavy metal resistance patterns of Enterococcus strains isolated from water bodies in Vladivostok and evaluate their potential environmental risks. Study designExperimental study. MethodsWater samples were collected from the Vtoraya Rechka River and Zolotoy Rog Bay in Vladivostok. 30 enterococcus strains were identified by polymerase chain reaction (PCR) technique. The presence of antibiotic and heavy metal resistance genes was determined using specific primers. ResultsGenetic analysis of the isolated Enterococcus strains revealed that 23% of strains carried the tetL gene, 33% harbored the ermB gene, and the heavy metal resistance genes tcrB and cadA were detected in 40% and 27% of strains, respectively. Notably, the ermB and tcrB genes co-occurred in 13.3% of strains, while none of the tetL-positive strains exhibited simultaneous presence of ermB, tcrB, and cadA. ConclusionEnterococcus strains isolated from Vladivostoks water bodies exhibit resistance to multiple antibiotics and heavy metals, with a notable co-occurrence of copper and antibiotic resistance genes. These findings contribute to understanding microbial contamination in aquatic environments and its public health implications, providing valuable insights for future research in clinical and environmental microbiology. 2. IMPORTANCEThe dissemination of antibiotic and heavy metal resistance genes in environmental reservoirs poses a serious public health threat, as these genes may be transferred to clinically relevant pathogens. Enterococcus species, widely present in aquatic ecosystems, serve as both reservoirs and indicators of such resistance. This study identifies patterns of co-occurrence among resistance genes and highlights a potential genetic linkage between macrolide (ermB) and copper (tcrB) resistance in environmental Enterococcus strains. Notably, none of the tetL-positive strains carried all three of ermB, tcrB, and cadA, suggesting a mutually exclusive distribution pattern and a potentially distinct mechanism of acquisition for tetL. These findings reveal novel gene distribution dynamics in environmental Enterococcus populations and underscore the importance of integrated surveillance of antimicrobial and metal resistance in human-impacted ecosystems.

microbiology↗

Methicillin-Resistant Staphylococcus aureus has Phenotypic Variation in mecA Expression that Alters Antibiotic Sensitivity

Methicillin resistant Staphylococcus aureus (MRSA) sepsis has a high rate of morbidity and mortality. Multiple clinical studies have demonstrated improved outcomes when MRSA sepsis is treated with dual antibiotic therapy that includes a {beta}-lactam antibiotic such as cefazolin. This is a paradox as MRSA should be inherently resistant to this class of antibiotics. We report a serendipitous observation revealed a phenotype where MRSA became sensitive to cefazolin when cultured in a physiologic relevant media of fetal bovine serum as well as in synovial fluid. This could be observed across multiple clinical isolates. Expected resistance was maintained when cultured in Muller Hinton Broth (MHB). MRSA {beta}-lactam antibiotic resistance is mediated by PBP2a, a penicillin-binding protein encoded by mecA. We hypothesized that this phenotype of antibiotic sensitivity in physiologic medium was based, in part, on levels of PBP2a expression and post-translational modifications of peptidoglycan wall teichoic acid (WTA). We therefore conducted quantitative RT-PCR analysis and Western blotting which demonstrated limited mecA expression in the mRNA level and limited PBP2a protein level when cultured in FBS or synovial fluid as compared to the clinical microbiology standard MHB, respectively. Whole genome sequencing of loss of function mutants generated through serial passaging in FBS revealed that the clp family of proteins and rpo genes were involved in {beta}-lactam resistance. Cell wall peptidoglycan analysis suggested that WTA glycosylation was altered between {beta}-lactam resistant and sensitive MRSA phenotypes. Together, this suggests pathways for clpP, rpoB, and WTA glycosylation can be new potential targets for MRSA treatment. IMPORTANCEThis study demonstrates that MRSA has phenotypic variation in mecA expression, PBP2a protein levels, and patterns of wall teichoic acid glycosylation based on environmental conditions which can result in a phenotype of {beta}-lactam antibiotic sensitivity. The presence of an antibiotic resistance gene does not necessarily result in antibiotic resistance. This provides a possible explanation for the clinical observations of potential therapeutic benefit of {beta}-lactam antibiotics in dual therapy treatment of MRSA sepsis and suggests new therapeutic strategies to combat multidrug resistant bacteria. More importantly, identifying genes potentially responsible for this phenotype offers new potential therapeutic targets for the treatment of multidrug resistant infection.

microbiology↗

Induced Droplet Ovalisation (IDO): Image-based microfluidic method for high-throughput and label-free characterization of microbial proteolytic strains from wastewater sludge.

Traditional bacterial isolation methods are costly, labour-intensive, and often fail to detect rare or slow-growing taxa. In contrast, droplet-based microfluidic assays have emerged as powerful alternatives. Here, we describe a novel, label-free microfluidic assay for screening microbial proteolytic activity based on oil-induced droplet ovalization. This method outperformed two traditional isolation techniques in terms of performance, time, and overall cost-efficiency. We present Induced Droplet Ovalisation (IDO): a droplet-based protocol that combines single-cell encapsulation with automated image analysis. Using a custom-made microfluidic device and bespoke image-processing scripts, our system efficiently detects microbial proteolytic activity by monitoring droplet deformability. This approach significantly reduces the time and resources required to study proteolytic consortia, offering an automated, easy-to-implement, and label-free alternative to conventional screening. Our device achieves high-throughput screening (HTS) at 0.2 kHz while significantly reducing the cultivation medium volume used compared to traditional methods. Furthermore, in-droplet microbial recovery is enhanced by two orders of magnitude, enabling the enumeration of significantly more colonies compared to traditional screenings. Beyond microbiological applications, this versatile platform serves as a powerful tool for studying hydrogel degradation and polymerization dynamics, extending its applicability across research and industry.

microbiology↗

Encoding Cell Phenotype from Label-Free Imaging Flow Cytometry with Unsupervised Deep Learning

Phenotype characterization with single-cell resolution can enable deep and nuanced insights into microbiological systems. Currently, Flow Cytometry and Imaging Flow Cytometry (IFC) offer numerous advantages, but are marred by barriers to accessibility: (1) high instrument costs; (2) labor-intensive, technically demanding sample preparation; and (3) reliance on consumable reagents (i.e., fluorescent labels). To achieve phenotype characterization without these constraints, we evaluated the low-cost, low-input ARTiMiS IFC as a potential alternative instrument technology. To demonstrate this approach, we used intracellular lipid content in microalgae, an important phenotype for production of biofuels and high-value bioproducts, as the phenotype of interest. Variational Auto-Encoder (VAE) unsupervised deep learning methodology was implemented to encode phenotype variation from un-annotated training data. The VAE embeddings were compared with other label-free predictor modalities to evaluate the stability of VAE data encoding across replicates and its predictive power to estimate the target phenotype. The VAE embeddings were robust and consistent between culture batches, and yielded accurate, consistent predictions of the demonstration phenotype in a high-throughput, non-destructive, dye-free methodology. In this proof-of-concept study, we demonstrate that VAE-enabled ARTiMiS IFC may serve as a viable alternative for cell phenotype characterization while overcoming several of the key drawbacks of traditional high-fidelity techniques. SynopsisLabel-free Imaging Flow Cytometry data was processed by a Variational Auto-Encoder to accurately predict lipid content in microalgal cells.

microbiology↗

Inactivation of Influenza A Viruses (H1N1, H5N1) During Grana-Type Raw Milk Cheesemaking: Implications for Foodborne Transmission Risk

BackgroundThe detection of H5N1 highly pathogenic avian influenza virus (HPAIV) in lactating dairy cattle in the United States, with high viral titers in raw milk, has raised concerns about potential zoonotic transmission through the consumption of unpasteurized milk and raw-milk dairy products. While inactivation studies exist for pasteurized milk, data on virus persistence during the manufacture of raw-milk cheeses remain scarce. AimTo evaluate the survival and inactivation of avian influenza viruses (AIV), including both low pathogenic (LPAIV, H1N1) and highly pathogenic (HPAIV, H5N1) strains, during the production and ripening of Grana-type hard cheeses made from raw cows milk. MethodsExperimental cheesemaking was conducted using raw milk artificially contaminated with A/duck/Italy/281904-2/06 (H1N1; 107.75 EID50/mL) or A/duck/Italy/326224-2/22 (H5N1 clade 2.3.4.4b; 106.75 EID50/mL). Cheeses were produced in accordance with Parmigiano Reggiano production standards and ripened for 30 days at 5-6 {degrees}C. Viral presence was assessed in finished cheeses by inoculation on SPF embryonated chicken eggs (ECE), hemagglutination (HA) assay, and monoclonal antibody-based ELISA. ResultsNo infectious virus was detected in any cheese sample produced from contaminated milk following two blind passages in SPF-ECE. Both HA and ELISA tests yielded negative results, indicating complete inactivation of the virus. ConclusionThis study demonstrates that the traditional Grana-type cheese production process-- including curd cooking, acidification, and ripening--effectively inactivates both LPAIV and HPAIV, even at high contamination levels. These findings support the microbiological safety of hard cheeses made from raw milk with regard to AIV, contributing to risk assessment and food safety policies during avian influenza outbreaks.

microbiology↗

A Cas12a Toolbox for Rapid and Flexible Group B Streptococcus Genomic Editing and CRISPRi

Streptococcus agalactiae (group B Streptococcus; GBS) is a leading cause of neonatal sepsis and meningitis. Despite advances in molecular microbiology, GBS genome engineering remains laborious due to inefficient mutagenesis protocols. Here, we report a versatile and rapid Cas12a-based toolkit for GBS genetic manipulation. We developed two shuttle plasmids--pGBSedit for genome editing and pGBScrispri for inducible CRISPR interference--derived from an Enterococcus faecium system and optimized for GBS. Using these tools, we achieved targeted gene insertions, markerless deletions, and efficient, template-free mutagenesis via alternative end-joining repair. Furthermore, a catalytically inactive dCas12a variant enabled inducible gene silencing, with strand-specific targeting effects. The system demonstrated broad applicability across multiple GBS strains and minimal off-target activity, as confirmed by whole-genome sequencing. This Cas12a-based platform offers a rapid, flexible, and scalable approach to genetic studies in GBS, facilitating functional genomics and accelerating pathogenesis research.

microbiology↗

Peering Inside the Black Box: Explainable AI to Interpret Advanced Computer Vision Fungal Pathogen Prediction

Antimicrobial resistance is a growing concern, with pathogenic fungi making a substantial contribution to untreatable life-threatening infections across the globe. Artificial intelligence is increasingly used in microbiology and antimicrobial resistance research, with promise to improve clinical diagnostics and infectious disease treatments. However, how AI models make predictions remains largely unknown, which is a major hurdle for human trust and regulatory approval. We trained convolutional neural networks (DenseNet121 and InceptionV3) and vision transformers (Swin Transformer-Tiny and Vision Transformer-Base 16) to quickly and accurately identify human fungal pathogens from microscopy images. Using explainable AI (Occlusion Sensitivity and Grad-CAM), we identified biologically relevant features (organelle, cell interior, cell wall, budding patterns/scars, and optical patterns) and irrelevant image features (background artifacts) high-performance computer vision models used to make predictions. These findings advance our understanding of how computer vision models make predictions on microbial pathogens and are anticipated to have profound implications for AI-based diagnostics.

microbiology↗

AI-Based Detection of Coliform Colonies Using CNN Transfer Learning for Application to Cultured Plate Analysis in Water Quality Research

Pathogenic bacterial contamination of water poses a severe public health risk, particularly in settings with limited laboratory resources. We propose a two-stage artificial intelligence (AI) pipeline for automated detection and classification of coliform colonies on agar plates. In the first stage, a YOLOv8-based detector localizes colonies on full-plate images, eliminating the need for manual annotation. In the second stage, detected colony patches are classified using a convolutional neural network (CNN) trained via transfer learning, where models are first pretrained on a diverse public bacterial colony dataset and subsequently fine-tuned on coliform-specific classification tasks. Across both in-house and public datasets, transfer learning consistently improves classification performance relative to training from scratch. The complete pipeline processes each plate in under five seconds and outperforms classical feature-based baselines, including Histogram of Oriented Gradients, Local Binary Patterns, and Haralick descriptors with conventional classifiers. These results demonstrate the potential of a modular, low-cost AI framework for scalable and accessible microbiological analysis, with future work targeting color-aware models and on-device inference for field deployment.

microbiology↗

Detergent-based separation of microbes from marine particles

Marine particles, typically composed of organic detritus and cellular debris, harbor microbial communities that are distinct from the planktonic, or free-living, communities in the pelagic ocean. However, without being first separated from the particle and microbial consortia, these microbes are inaccessible to further investigation via single-cell microbiology methods like flow cytometry, cell-sorting, and dilution-based isolation. To confront this obstacle, we compared the dissociative effects of two commonly used detergents, Tween20 and Tween80, on particle-associated marine microbial communities. The ability of Tween treatments to liberate cells from particles, and to maintain cell integrity, was quantified by flow cytometry from multiple communities across seasons and locations. Both Tween20 and Tween80, at 185 RPM shaking, gently dissociated microbes from their particles, causing very little cell mortality. Additionally, Tween80 liberated a greater number of particle-associated cells into the free-living fraction. We also analyzed the effects of Tween treatments on the microbial community composition for one of these collections via 16S rRNA gene amplicon sequencing of the particle-associated and free-living fractions relative to unamended controls. Tween20 and Tween80 were both effective for microbial dissolution from particles, however Tween80 treatments displayed greater uniformity in the dissociated communities and significantly enriched for the most abundant particle-associated members. Together these data indicate that Tween80 was most effective at gently dissociating particle-associated cells. ImportanceMicrobes that reside on marine particulate organic matter are vital facets of marine biogeochemistry. As they degrade the particle on which they reside, the resulting concentrated region of activity influences surrounding biogeochemistry and redox gradients, making particle-associated microbes significant to overall marine ecology. To understand single-cell activities amidst the microbial assemblage on the particle, cells must first be removed from the substrate for downstream analyses. Methods for microbial dissociation from solid surfaces or sediment communities have been described, however, analogous methods for more ephemeral particles, that also maintain cell viability and preserve DNA for next-generation sequencing, are understudied. Here we optimized a method that leveraged detergents to dissociate microbes from marine particles. We evaluated effectiveness through filter size-fractionation, flow cytometry, and community composition analyses, and provide recommendations to gently and effectively remove microbes from marine particles.

microbiology↗

Possible origins of kombucha in spontaneous fermentation

Although the microbial composition and functional attributes of kombucha have been extensively studied, the origins and mechanisms of the formation of their biofilm (Symbiotic Culture of Bacteria and Yeasts, or SCOBY) remain speculative. Based on historical reports and the concept of community coalescence, this study establishes a proof-of-concept, demonstrating how a kombucha-like biofilm can form spontaneously from microbes associated with plants, insects, and humans in a sweetened tea medium. Metagenomic analyses revealed microbial dynamics during fermentation, uncovering shifts in community composition driven by acetic acid bacteria, lactic acid bacteria, and yeasts. Comparative analyses with existing fermented beverages demonstrated microbial similarities to kombucha metagenomes. Pangenomic analyses focused on Fructobacillus evanidus, a species present in both the bee microbiome and our spontaneous fermentation. The MAGs of F. evanidus from the fermented beverage showed evidence of genetic streamlining, characterized by the loss of genes essential for survival in shifting and highly competitive environments, such as the bee gut, and adaptation to the more stable conditions of fermentation. This study offers insights into the origins of kombucha, integrating historical, microbiological, ecological and evolutionary perspectives to answer the question Is this a kombucha?, and gesturing toward further physical, chemical and sensory dimensions that could be explored.

microbiology↗

A versatile dual-color bacterial reporter system highlights two distinct Pseudomonas aeruginosa Type 3 secretion system intracellular populations.

Since their discovery, fluorescent reporters have revolutionized our ability to track gene and protein expression in real time. Ideally, two reporters are used, one constitutive signal for tracking viable bacteria and the other for measuring the expression of the gene/protein of interest. Unfortunately, these valuable tools are not available for most bacterial species, and if available are often not optimized for fluorophore protein folding rates and fluorescence intensity. Here we present a versatile dual reporter system, pCG-VmS, optimized for both transcriptional and translation fusions in Gram-negative bacteria. Using the important pathogen Pseudomonas aeruginosa for proof of concept, we demonstrate pCG-VmS utility in tracking transcriptional expression with flow cytometry and within a complex biofilm, and using a translational reporter fusion, monitor protein expression and visualize subcellular protein localization. We then analyzed T3SS-associated exoS toxin expression in infected host cells, which highlighted two distinct T3SS-dependent intracellular populations, one where the exoS promoter is turned on and the other where it is turned off in a smaller sub-population of bacterial cells (hereon referred to as T3SS-on and T3SS-off, respectively). Finally, we demonstrate the feasibility of spatiotemporal imaging in whole animals by using our system to monitor expression of an alternative sigma factor during Vibrio fischeri colonization of its squid host. Our findings demonstrate the versatile uses for the pCG-VmS vectors in microbiology, and that this vector can be used to visualize and separate distinct populations with precision for both in vitro and in vivo applications.

microbiology↗

ModuloStat: An Internet of Things' Path to Continuous Cultures in Mini-Bioreactors

In continuous culture, a population of microorganisms is propagated in a stable environment over many generations. This is particularly relevant for experimental evolution and metabolic studies. However, continuous culture protocols are difficult to implement, so they are not commonly used in microbiology laboratories. Here, we present the ModuloStat, a modular, open-source framework that facilitates continuous culture in mini-bioreactors. The ModuloStat system is grounded on digital fabrication tools easily accessible in FabLabs and programmable electronics. Maintaining a culture is divided into tasks assigned to dedicated printed circuit boards with a microcontroller connected to a Wi-Fi network. According to Internet of Things principles, each board operates a set of sensors and actuators autonomously and can receive and send information. The boards are stacked to implement complex behaviors and can be modified to accommodate new features. A thermoregulated box holds the components and can be placed on a laboratory bench or transported under a sterile hood for inoculation. Sterility is ensured by autoclaving, after assembly, all components that will come into contact with the culture medium. In-situ optical density monitoring combined with modularity and computer control enables many cultivation modes. Additionally, we present the construction of the Bacillus subtilis strain ZB designed for bioreactor culture that exhibits a zero-biofilm phenotype. To demonstrate the systems versatility, we performed several experimental cultures with this model organism, including chemostat, turbidostat, medium swap, and a cascade of bioreactors. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=97 SRC="FIGDIR/small/669317v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@16b3bbborg.highwire.dtl.DTLVardef@11ea708org.highwire.dtl.DTLVardef@1681769org.highwire.dtl.DTLVardef@d91946_HPS_FORMAT_FIGEXP M_FIG C_FIG

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