Malte Christoph Rühlemann

Genome-scale metabolic models predict diet- and lifestyle-driven shifts of ecological interactions in the gut microbiome

The paper uses genome-scale metabolic models to predict how diet and lifestyle affect microbial interactions in the gut microbiome, finding shifts from collaboration to competition with high sugar intake.

Convergent genomic responses of human gut bacteria to variations in industrialization

This study examines how gut bacteria genomes adapt to industrialization, finding convergent genomic responses in stress response, cell envelope remodeling, and central metabolism across different populations.

Industrialization drives convergent microbial and physiological shifts in the human metaorganism

The paper investigates how industrialization affects microbial and physiological traits in the human gut across diverse populations, finding homogenized microbiomes, reduced diversity, and impaired disease prediction accuracy in less industrialized groups.

On the limits of 16S rRNA gene-based metagenome prediction and functional profiling

This study evaluates 16S rRNA gene-based functional prediction tools using simulated and metagenomic data, finding they lack sensitivity to detect health-related microbiome functional changes.

New susceptibility loci for severe COVID-19 by detailed GWAS analysis in European populations

This study identifies a new susceptibility locus for severe COVID-19 through a detailed GWAS analysis in European populations, focusing on genetic variants associated with disease severity.

Key features of the genetic architecture and evolution of host-microbe interactions revealed by high-resolution genetic mapping of the mucosa-associated gut microbiome in hybrid mice

The paper uses genetic mapping in hybrid mice to show host genetics shape gut microbiome traits, identifies 443 loci influencing 123 taxa, and finds disease-related genes.

MAGScoT - a fast, lightweight, and accurate bin-refinement software

MAGScoT improves MAG quality and quantity while reducing computation time and resource use compared to existing bin-refinement tools.

Genome-wide analysis of 944,133 individuals provides insights into the etiology of hemorrhoidal disease

This study performs a genome-wide association analysis of hemorrhoidal disease in 944,133 individuals, identifying 102 risk loci and linking them to vascular and tissue development pathways.

Large-scale association analyses identify host factors influencing human gut microbiome composition

The paper identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.