General microbiome
Multi-dimensional experimental and computational exploration of metabolism pinpoints complex probiotic interactions – Zampieri, Efthimiou & Angione – Metabolic Engineering
[REVIEW]Advancing CAR T cell therapy through the use of multidimensional omics data – Yamg et al. – Nature Reviews Clinical Oncology
Pregnancy and early life
[REVIEW]Microbial transmission, colonisation and succession: from pregnancy to infancy – Xiao & Zhai – Gut
Human gut microbiome
Changes in the Gut Microbiome Associated with Intussusception in Patients with Peutz-Jeghers Syndrome – Wang et al. – Microbiology Spectrum
[PREPRINT]Probiotics supplementation to adult human small intestinal stoma microbiota causes dynamic increase in the community resistance to perturbations and nutrient utilization – Jansma et al. – bioRxiv
Animal experiments (mouse/rat experiments, chickens/pigs on different diets)
Pathometagenomics reveals susceptibility to intestinal infection by Morganella to be mediated by the blood group-related B4galnt2 gene in wild mice – Vallier et al. – Gut Microbes
Host-microbe co-metabolism via MCAD generates circulating metabolites including hippuric acid – Pruss et al. – Nature Communications
Disruption of the Intestinal Mucosal Barrier Induced by High Fructose and Restraint Stress Is Regulated by the Intestinal Microbiota and Microbiota Metabolites – Yu et al. – Microbiology Spectrum
[PREPRINT]Shift from a Simplified to Complex Gut Microbiota Reduces Adenoma Burden in a Preclinical Rat Model of Colon Cancer – Busi et al. – bioRxiv
Water and extremophile microbiome (sea, rivers, lakes, glaciers, permafrost, high-salt)
Viral infection switches the balance between bacterial and eukaryotic recyclers of organic matter during coccolithophore blooms – Vincent et al. – Nature Communications
High-resolution metagenomic reconstruction of the freshwater spring bloom – Kavagutti et al. – Microbiome
Bioinformatics
[PREPRINT]Accounting for 16S rRNA copy number prediction uncertainty and its implications in microbial diversity analyses – Gao & Wu – bioRxiv
Techniques
[PREPRINT]Methods for the analysis of skin microbiomes: a comparison of sampling processes and 16S rRNA hypervariable regions – Alyami et al. – bioRxiv