K. M. DeAngelis

Seasonal effects of long-term warming on ecosystem function and bacterial diversity

This study examines how long-term soil warming affects ecosystem function and bacterial diversity across seasons and soil horizons, finding that season strongly influences both but the function-diversity relationship remains stable under warming.

Thermal adaptation of soil microbial growth traits in response to chronic warming

This study examines how long-term soil warming affects bacterial growth traits, finding increased optimum growth temperatures but no changes in temperature sensitivity or maximum growth temperatures.

Pangenomes reveal genomic signatures of microbial adaptation to experimental soil warming

The paper uses pangenomics to identify genomic signatures of microbial adaptation to experimental soil warming.

Substrate availability and not thermal-acclimation controls microbial temperature sensitivity response to long term warming

The paper investigates how long-term warming affects microbial physiology by comparing thermal acclimation and substrate availability, finding that reduced carbon availability, not thermal acclimation, drives changes in microbial processes.

Chitosan diet alters the microbiome of adult house flies

This study shows that a chitosan-amended diet reduces house fly longevity and alters their gut microbiome composition, increasing bacterial load and changing dominant genera.

The role of microbial diversity in the formation of soil organic matter quality and persistence

This study shows that diverse microbial communities produce more stable soil organic matter by increasing its chemical complexity.

Iron Chelator-Mediated Anoxic Biotransformation of Lignin by Novel sp., Tolumonas lignolytica BRL6-1

This study investigates how Tolumonas lignolytica BRL6-1 transforms lignin under anoxic conditions using iron chelation and radical SAM proteins.

Heavy and wet: evaluating the validity and implications of assumptions made when measuring growth efficiency using 18O water

The paper evaluates assumptions in the 18O-H2O method for measuring microbial carbon use efficiency and shows how methodological biases affect results.