February 1, 2023

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


[PREPRINT]Accounting for 16S rRNA copy number prediction uncertainty and its implications in microbial diversity analyses – Gao & Wu – bioRxiv


[PREPRINT]Methods for the analysis of skin microbiomes: a comparison of sampling processes and 16S rRNA hypervariable regions – Alyami et al. – bioRxiv

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