552 papers
Microbiology explores the invisible world of tiny life forms that shape our health, environment, and even the air we breathe. From bacteria and viruses to fungi and parasites, this field investigates how these microscopic organisms interact with us and each other, driving everything from disease outbreaks to beneficial fermentation processes. Understanding them is crucial for developing new medicines, improving food safety, and combating global health challenges.
At Gist.Science, we make the latest discoveries in this dynamic field accessible to everyone. We process every new preprint uploaded to bioRxiv in this category, transforming dense academic findings into both clear, plain-language explanations and detailed technical summaries. This ensures that whether you are a student, a researcher, or simply curious, you can grasp the significance of cutting-edge science without getting lost in jargon.
Below are the most recent papers in microbiology, curated and summarized directly from the bioRxiv server to keep you at the forefront of discovery.
This study characterizes the developmental dynamics and core structure of the *Eugenia uniflora* phyllosphere bacterial community, revealing significant shifts in diversity and functional potential between young and mature trees while identifying a conserved core microbiome across the Myrtaceae family.
This study demonstrates that the freshwater anaerobic methanotroph 'Ca. Methanoperedens vercellensis' can adapt to low pH environments (down to 5.65) through membrane lipid remodelling, specifically by increasing zwitterionic lipids, thereby maintaining its role in the biological methane filter despite increased energy demands.
This study reveals that sub-minimal inhibitory concentration exposures to copper and silver elicit distinct kill kinetics in *Escherichia coli*, with copper causing sustained growth inhibition while silver induces transient killing followed by regrowth, highlighting the limitations of standard non-kinetic assays in assessing metal-based antimicrobial risks.
This study reveals that wild waterbirds in Ecuador's high-Andean lakes serve as reservoirs and potential dispersers of multidrug-resistant *Salmonella* strains, specifically *S. Infantis* and *S. Newport*, which likely originated from poultry production systems and pose significant public health risks under a One Health framework.
This study demonstrates that the snake-associated Swiss snake colony virus 1 (SwSCV-1), a member of the *Kolmioviridae* family, encodes only a single form of the delta antigen and does not translate its additional open reading frame 2, distinguishing its protein expression profile from that of the hepatitis D virus.
This study reveals that carbapenem resistance in a Nigerian ICU is driven by the horizontal spread of a conserved mobile resistance island carrying *bla*NDM-5 across diverse *Enterobacter hormaechei* and *Klebsiella pneumoniae* strains, highlighting the critical need to track mobile genetic elements alongside bacterial lineages for effective infection control in low-resource settings.
This study demonstrates that the virtual colony count assay reveals a pronounced inoculum effect of the antimicrobial peptide HNP1 against *Staphylococcus aureus* ATCC 29213, which is associated with biofilm formation as a resistance mechanism.
This study compared antibiotic resistance genes, virulence factors, and pathogen profiles across households in Mysuru, Dubai, and Tucson, revealing significant geographic variations in resistance and viral diversity while identifying a core set of resistance genes present in all locations.
This study demonstrates that extracellular vesicles secreted by a polymicrobial community of CF lung pathogens exacerbate innate immune responses and inhibit CFTR function in cystic fibrosis epithelial cells, explaining why highly effective modulator therapies like Trikafta fail to eliminate chronic infections or restore normal lung physiology.
The paper introduces PALM, a fast and reliable quasi-Poisson regression framework designed to improve false discovery control, statistical power, and computational efficiency in large-scale microbiome association studies and meta-analyses.