Laura A. Hug

The paper analyzes CRISPR spacers from metagenomic data to reveal patterns of CRISPR targeting across Earth's biomes, identifying selection pressures and non-host phage interactions.

The paper tracks microbial and geochemical changes in landfill waste over 39 years, linking shifts in microbial communities and metal cycling to environmental factors.

The paper identifies and characterizes Borgs and mini-Borgs in Methanoperedens archaea, revealing their evolutionary origins and genomic relationships.

This study compares gut microbiomes of mealworms and superworms, finding that host cohort has a larger impact on microbial diversity than plastic ingestion.

The paper profiles microbial communities in copper/nickel mine tailings using metagenomics and metaproteomics, revealing diverse metal resistance genes and novel taxa, along with challenges in low-biomass sequencing.

The paper identifies novel viruses, auxiliary metabolic genes, and CRISPR-Cas systems in landfill viromes, highlighting unique virus-host interactions and genetic features.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

The paper examines methanotroph dynamics in landfill cover soils, finding that high methane emission sites show strong enrichment of methanotrophs, particularly Methylomicrobium, and that microbial diversity correlates with nitrate and nitrite levels.

The paper examines how microbial communities in aquifers change in response to thermal arsenic mobilization and identifies potential biogeochemical roles of microbes in arsenic cycling.

The paper examines microbial communities in Cu/Ni mine tailings, finding high variability in diversity and composition linked to geochemical factors like pH and metal concentrations.

MT-MAG is a machine learning tool for taxonomic classification of MAGs, achieving high accuracy and providing interpretable results for complete or partial classifications.

AnnoTree visualizes and explores functional annotations across 24,000 bacterial genomes, revealing widespread phylogenetic patchiness in gene families.