Antonis Chatzinotas

The paper introduces an automated pipeline for whole-genome sequencing analysis of microbial pesticides to improve hazard characterization and risk assessment.

PHI is a Galaxy-based workflow that automates prophage-host interaction analysis and generates standardized reports, detecting 41 prophages across 14 hosts in a mock community.

The paper shows that sampling design affects estimates of soil bacterial richness, with homogenized samples underestimating diversity and altering ecosystem comparisons.

HVRLocator identifies hypervariable regions in 16S rRNA datasets to improve metadata quality and enable accurate large-scale microbiome analysis.

This study shows that higher soil protist diversity increases prokaryotic diversity and affects nitrogen cycling genes through selective predation.

This study isolates and characterizes a novel phage IPK that enhances phenanthrene degradation by its host Paraburkholderia caledonica Bk, showing higher degradation efficiency at higher MOI.

This study tracks the fate of 13C-labelled pollutant-degrading inoculum in two soils using DNA-SIP, revealing differences in predation effects and inoculum establishment between short-term and long-term polluted soils.

OrtSuite predicts microbial interactions based on genomic content for specific ecosystem processes using ortholog clustering and user-defined functions.

The paper identifies a bacterial consortium degrading thiabendazole, with Sphingomonas playing a central role through a carbazole dioxygenase, and reveals interdependencies between consortium members.