Browse our latest Microbiology and Infectious Disease articles

Page 17 of 168
    1. Cell Biology
    2. Microbiology and Infectious Disease

    Decoding the biogenesis of HIV-induced CPSF6 puncta and their fusion with the nuclear speckle

    Chiara Tomasini, Celine Cuche ... Francesca Di Nunzio
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Incomplete
    1. Medicine
    2. Microbiology and Infectious Disease

    The effect of combining antibiotics on resistance: A systematic review and meta-analysis

    Berit Siedentop, Viacheslav N Kachalov ... Sebastian Bonhoeffer
    A systematic review shows no evidence of harm or benefit of antibiotic combinations on resistance evolution as clinical data lack statistical power to draw definitive conclusions, highlighting a knowledge gap.
    1. Evolutionary Biology
    2. Microbiology and Infectious Disease

    Antimicrobial activity of iron-depriving pyoverdines against human opportunistic pathogens

    Vera Vollenweider, Karoline Rehm ... Rolf Kümmerli
    Iron-chelating pyoverdines from environmental Pseudomonas spp. show promising antibacterial activity against key human pathogens through the induction of iron starvation, while associated toxicity for host systems remains low.
    1. Microbiology and Infectious Disease

    Salmonella-induced SIRT1 and SIRT3 are crucial for maintaining the metabolic switch in bacteria and host for successful pathogenesis

    Dipasree Hajra, Raju S Rajmani ... Dipshikha Chakravortty
    SIRT1 and SIRT3-mediated immunometabolic shift governs intracellular Salmonella proliferation both in vitro and in vivo and dissemination in mice, thereby influencing the infection outcomes.
    Version of Record
    Research Article
    • Valuable
    • Convincing
    • Incomplete
    1. Microbiology and Infectious Disease

    An improved bacterial single-cell RNA-seq reveals biofilm heterogeneity

    Xiaodan Yan, Hebin Liao ... Yingying Pu
    RiboD-PETRI, a cost-effective, equipment-free plate-based scRNA-seq technique that integrates a unique bacterial rRNA depletion protocol, significantly enhancing mRNA detection rate and revealing within-population heterogeneity, offering valuable insights for research applications.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Livestock abortion surveillance in Tanzania reveals disease priorities and importance of timely collection of vaginal swab samples for attribution

    Felix Lankester, Tito J Kibona ... Sarah Cleaveland
    Livestock abortion surveillance can capture valuable information on important livestock pathogens, including those that are zoonotic and with epidemic potential, revealing importance of timely collection of diagnostic samples for attribution.
    1. Ecology
    2. Microbiology and Infectious Disease

    Novel class IIb microcins show activity against Gram-negative ESKAPE and plant pathogens

    Benedikt M Mortzfeld, Shakti K Bhattarai, Vanni Bucci
    12 new class IIb microcins have been structurally identified, phylogenetically assessed, and functionally tested for their antimicrobial activity, increasing the total number of these bacteriocins to 17.
    Version of Record
    Short Report
    • Important
    • Solid
    1. Biochemistry and Chemical Biology
    2. Microbiology and Infectious Disease

    Malaria parasites require a divergent heme oxygenase for apicoplast gene expression and biogenesis

    Amanda Mixon Blackwell, Yasaman Jami-Alahmadi ... Paul A Sigala
    Plasmodium parasites have repurposed the heme oxygenase scaffold from its canonical heme-degrading function to fulfill an essential and adaptive role in gene expression within the apicoplast organelle.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Lipid discovery enabled by sequence statistics and machine learning

    Priya M Christensen, Jonathan Martin ... Kelli L Palmer
    A previously unknown lipid modification by a bacterial antibiotic resistance enzyme was identified through the analysis of a family of antibiotic resistance enzyme sequences with a machine learning approach.