Jon G. Sanders

This study shows that gut microbiota colonization is essential for digestive development in House sparrows, increasing intestinal structure and function.

The paper shows that geographic isolation, not host ancestry, drives strain diversification in the gut microbiota of wild deer mice.

The paper analyzes gut microbiome data from three countries to show diet-microbiota associations vary by location and strain.

This study shows that gut bacterial symbionts of laboratory mice have accumulated genetic mutations faster than those of wild mice, likely due to genetic drift in captivity.

This study integrates polygenic risk scores and gut metagenomic data to improve prediction of common diseases, showing enhanced predictive performance over conventional risk factors.

This study evaluates Hackflex library preparation for metagenomic sequencing, showing it recovers all members of a mock community and distinguishes microbiota between individual mice.

This study uses gut microbiome data and machine learning to improve liver disease risk prediction, showing that combining microbiome features with conventional risk factors enhances model performance.

In 5,959 Finns with genotypes and stool metagenomes, GWAS found 583 independent SNP-taxon associations; dairy intake modified LCT effects on Bifidobacterium, and ABO-linked Faecalicatena lactaris tracked secretor status.

EMPress provides an interactive tool for visualizing phylogenetic trees alongside multi-omic data, enabling exploratory analyses of microbiome and metabolome datasets.

The paper introduces dual-indexing systems to reduce NGS start-up, buy-in, and sample preparation costs by enabling combinatorial indexing of Illumina libraries.

This paper quantifies well-to-well contamination in microbiome studies, showing it occurs mainly during DNA extraction and affects low-biomass samples, with implications for data interpretation.

This paper designs and evolves synthetic syntrophic E. coli pairs using a novel algorithm, revealing metabolic changes that enhance community fitness and guide co-culture optimization.

MetaRiPPquest identifies RiPPs by combining genome/metagenome mining with mass spectrometry analysis, discovering 5 novel natural products from 6 datasets.