Human gut microbiome

Associations between self-reported psychological symptom severity and gut microbiota: further support for the microgenderome – Ganci et al. – BMC Psychiatry

Impacts of dietary exposure to pesticides on faecal microbiome metabolism in adult twins – Mesnage – Environmental Health

Diversity and Metabolic Potential of the Gut Microbiome in Adolescents with Functional Bowel Disorder – Klimenko et al. – Bulletin of Experimental Biology and Medicine

[REVIEW]Diet-microbiome interactions in cancer treatment: Opportunities and challenges for precision nutrition in cancer – Greathouse et al. – Neoplasia

Fermented brown rice beverage distinctively modulates the gut microbiota in Okinawans with metabolic syndrome: A randomized controlled trial – Akamine et al. – Nutrition Research

Gut Microbiome Characteristics in Mothers and Infants According to the Presence of Atopic Dermatitis – Sung et al. – BioMed Research International

Animal experiments (mouse/rat experiments, chickens/pigs on different diets)

Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain – Parker – Microbiome

Bacteria and Bellicosity: Photoperiodic Shifts in Gut Microbiota Drive Seasonal Aggressive Behavior in Male Siberian Hamsters – Shor, Brown & Freeman – Journal of Biological Rhythms

Microbial DNA enrichment promotes liver steatosis and fibrosis in the course of non-alcoholic steatohepatitis – Luo et al. – Acta Physiologica

[PREPRINT]High fat diet changes bacterial signatures in the murine pancreas – Scheithauer et al. – bioRxiv

Animal microbiome (for animals in the wild)

Geographical resistome profiling in the honeybee microbiome reveals resistance gene transfer conferred by mobilizable plasmids – Sun et al. – Microbiome

Plant, root, and soil microbiome

Phytobeneficial traits of rhizobacteria under the control of multiple molecular dialogues – Laveilhé – Microbial Biotechnology

Bioinformatics

[PREPRINT]Modeling complex measurement error in microbiome experiments – Clausen & Willis – arXiv

Techniques

[PREPRINT]You will know by its tail: a method for quantification of heterogeneity of bacterial populations using single cell MIC profiling – Pacocha et al. – bioRxiv