September 4, 2020

Good morning and get ready to enjoy a small, but diverse microbiome digest. Enjoy!

COVID-19
Commentary: Misconceptions about weather and seasonality must not misguide COVID-19 response – Colin J Carlson et al. – Nature Communications


Multi-site human microbiome
Relationship between the composition of the intestinal microbiota and the tracheal and intestinal colonization by opportunistic pathogens in intensive care patients – Candice Fontaine et al. – PLOS One

Human gut microbiome
Widespread transfer of mobile antibiotic resistance genes within individual gut microbiomes revealed through bacterial Hi-C – Alyssa G. Kent et al. – Nature Communications


Animal experiments
Review: Modulation of gut microbiota in healthy rats after exposure to nutritional supplements – Mirna Cool et al. – Gut Microbes

Animal microbiome
Anthrax toxin component, Protective Antigen, protects insects from bacterial infection – Saleem Alarme – PLOS Pathogens

Environmental gut bacteria in European honey bees (Apis mellifera) from Australia and their relationship to the chalkbrood disease – Sheba Khan et al. – PLOS One

Gut Microbiome Composition is Associated with Age and Memory Performance in Pet Dogs – Eniko Kubinyi et al. – Animals

Plant, root, and soil microbiome
Characterizing the nectar microbiome of the non-native tropical milkweed, Asclepias curassavica, in an urban environment – Magdalena L. Warren et al. – PLOS One

Water and extremophile microbiome
Book chapter:
Analyzing the Diversity of Microbial Communities Residing in Marine Ecosystems – Piyush Chandna et al. – In: Marine Biotechnology


Bioinformatics
Ten simple rules to power drug discovery with data science – Enrico Ferrero et al. – PLOS Computational Biology

Techniques
Review: Sample pre-treatment procedures for the omics analysis of human gut microbiota: turning points, tips and tricks for gene sequencing and metabolomics – Elisa Zubeldia-Varela et al. – Journal of Pharmaceutical and Biomedical Analysis


Publishing
Research Topic: Beyond Conventional Models: Expanding Experimental Systems for Animal-Microbiome Interaction Research

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