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 identifies the emerging carbapenem-resistant *Klebsiella pneumoniae* lineage CG307 as a distinct pathogen spreading across the Southern US that possesses unique genetic and phenotypic adaptations, including a novel capsule and high urease activity, which specifically drive its increased prevalence and virulence in urinary tract infections.
This study utilizes population-level whole-genome sequencing of *Mycobacterium tuberculosis* in non-human primates to reveal distinct intrahost mutational trajectories and increased bacterial diversification driven by SIV coinfection and antiretroviral therapy, highlighting specific selection pressures on lipid metabolism and oxidative damage response genes.
This study utilizes shotgun metagenomic sequencing of tracheal aspirate and stool samples from 39 preterm infants to demonstrate that an enrichment of skin-associated bacteria, particularly *Staphylococcus epidermidis*, in both the lung and gut microbiomes is significantly associated with the development of bronchopulmonary dysplasia.
This study reveals that adults with Down syndrome exhibit specific gut microbiota alterations, including reduced *Roseburia* abundance, which are associated with cognitive decline and elevated plasma Alzheimer's disease biomarkers, suggesting a gut-brain axis link similar to that observed in typical Alzheimer's disease.
This study demonstrates that adaptive mutations in the *spoT* gene, which lower basal (p)ppGpp levels, enable *Ralstonia pseudosolanacearum* to efficiently adapt to both plant xylem and legume nodules by enhancing nutrient utilization and growth without compromising its virulence.
This study utilized 16S rRNA gene sequencing to characterize and compare the bacterial community structures of compost-bedded pack barns on two dairy farms in Argentina, revealing that while both systems were dominated by typical compost-associated phyla, their specific community compositions differed based on distinct management practices and initial bedding conditions.
This study reports the draft genome sequence and taxonomic characterization of a novel soil bacterium, *Bacillus pergaminensis* sp. nov. strain Bva_UNVM-123, which possesses genetic determinants for heavy metal and antibiotic resistance, suggesting its potential as a safe candidate for bioremediation applications.
This study characterizes the physicochemical properties, sugar profiles, and mineral composition of *Meliponula beccarii* honey collected from the Wonchi district in Ethiopia, revealing high-quality attributes that support its traditional medicinal use and highlighting the region's potential for stingless bee conservation.
This pairwise case-control study of 98 dogs reveals that while household environment is the primary driver of gut microbiome variation, idiopathic epilepsy is associated with a modest but significant shift in microbial community structure, specifically characterized by a consistent increase in *Collinsella* abundance.
By integrating four diverse 16S rRNA datasets and applying a unified sampling ontology, this study demonstrates that the built environment microbiome exhibits strong, reproducible signals characterized by distinct soil-associated taxa on floors and human-associated taxa on hands and surfaces, which persist across different buildings, timepoints, and sequencing protocols without the need for batch correction.