Craig William Herbold

This study examines how thermal stress affects microbial symbiosis and host activity in the sponge Ianthella basta, showing tissue regression, symbiont loss, and microbial shifts under elevated temperatures.

The paper identifies a novel Saccharimonadia genus associated with a polyphosphate-accumulating bacterium in wastewater treatment plants and explores their ecological and metabolic interactions.

The paper introduces a standardized workflow for multiplexed amplicon sequencing to analyze microbial community structure and functional potential in environmental samples.

The paper identifies genome-wide selective sweeps in the human gut microbiome, revealing ecologically distinct populations linked to age and colorectal cancer.

The paper curates and harmonizes celiac disease gut microbiome sequencing data into a repository to enable large-scale analysis and machine learning applications.

Micro16S uses phylogenetic embeddings to improve microbiome deep learning, showing taxonomic clustering and region invariance but limited performance in classification tasks.

This study links gut microbiota composition to personality traits in captive common marmosets, finding specific bacterial taxa associated with behavioral characteristics.

The paper examines microbial communities in Antarctic geothermal soils, finding that high dispersal rates lead to dominance of habitat specialists over generalists.

This study systematically examines biodiversity across geothermal ecosystems on Mt. Erebus, finding taxonomically novel prokaryotes and fungi, and highlighting physicochemical differences between Exposed and Subglacial sites.

The paper improves 16S rRNA gene primers to better detect Patescibacteria in wastewater treatment plants, revealing their global diversity and potential ecological roles.