Katherine D. McMahon

This study uses a 20-year metagenomic time series to analyze the evolutionary dynamics of giant viruses in Lake Mendota, revealing gene duplication, horizontal transfer, and adaptive responses to environmental changes.

This study uses global metagenomics to discover new plastid sequences and challenge existing models of plastid evolution in photosynthetic eukaryotes.

The paper investigates how ecological constraints and evolutionary trade-offs influence nitrogen fixation across different habitats by analyzing microbial genomes and environmental factors.

The paper investigates diel and seasonal electron cycling in Trout Bog Lake by electroactive bacterioplankton, finding evidence of DOM cycling between oxidized and reduced states through EET-based metabolism.

The paper analyzes time-series metagenomic data from Lake Mendota to study changes in protistan ecology, revealing shifts in community structure linked to invasive species and environmental factors.

The paper analyzes a 20-year viral time-series in a freshwater lake to uncover seasonal dynamics, environmental drivers, and evolutionary patterns of viral diversity and ecology.

The paper analyzes a two-decade freshwater lake metagenome dataset to show that ecological and evolutionary processes in microbial communities operate on seasonal and decadal scales.

The paper introduces TbasCO, a trait-based comparative omics approach that identifies ecosystem-level and niche-differentiating adaptations in microbial communities using genome-resolved time-series metatranscriptomics.

The paper expands the global RNA virome by five-fold, identifying new clades of RNA bacteriophages and revealing novel virus-host interactions.

The paper uses genome-resolved metatranscriptomics to analyze gene expression differences among co-occurring Accumulibacter clades in a wastewater treatment bioreactor, revealing functional distinctions.

The paper identifies diverse microbial guilds in a sulfate-enriched lake that possess the mercury methylation trait, highlighting the ecological distribution of this process.

The paper introduces metabolisHMM, a tool for analyzing microbial metagenomic data to explore phylogenies and metabolic pathways through HMM-based workflows.

TaxAss improves fine-resolution taxonomic classification of freshwater microbial communities by combining a comprehensive database with an ecosystem-specific database.