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Scientists around the world have risen to the challenges posed by COVID-19 by rapidly transforming their laboratories and refocusing their research efforts.
This study discovered that the maternal gut microbiota of mice modulates fetal neurodevelopment during homeostasis and the behaviour of offspring in adult life.
This study provides insights into how a mycovirus decreases the pathogenicity of its fungal host and promotes plant defences, and how this can be translated into the development of a plant vaccine.
This study provides evidence that bacterial nanotubes produced by Bacillus subtilis and other bacteria are a feature of cell death rather than physiological structures.
This month’s Under the Lens discusses recent advances in high-resolution imaging of bacterial membrane proteins within intact liposomes by electron cryomicroscopy.
Advances in imaging techniques have revealed an unexpected abundance and diversity of organelles in bacteria. In this Review, Greening and Lithgow outline the different types of bacterial organelles and discuss common themes in their formation and function.
The COVID-19 pandemic has prompted unparalleled progress in the development of vaccines and therapeutics in many countries, but it has also highlighted the vulnerability of resource-limited countries in Africa. Margolin and colleagues review global efforts to develop SARS-CoV-2 diagnostics, therapeutics and vaccines, with a focus on the opportunities and challenges in Africa.
Viruses are extremely diverse and not all of this diversity has been captured so far. In this Review, Martínez Martínez, Martinez-Hernandez and Martinez-Garcia explore the potential and limitations of single-virus genomics and how this emerging technology can complement other methods.
Fungi originated in a freshwater environment and their evolution accompanied the rise of algae and land plants. In this Review, Berbee and colleagues examine the fossil and genomic record of ancient fungi and the inferences we can make about their lifestyle.
Genome-scale models (GEMs) are mathematical representations of reconstructed networks that facilitate computation and prediction of phenotypes, and are useful tools for predicting the biological capabilities of microorganisms. In this Review, Fang, Lloyd and Palsson discuss the development and the emerging application of GEMs.
