Jessica Louise Ray

The paper develops a targeted reference database, AQUAeD-DB, to improve taxonomic accuracy of 16S rRNA sequencing data from seafloor sediments using Oxford Nanopore Technologies.

This study compares Illumina and Nanopore 16S rRNA sequencing for predicting seafloor ecological state using machine learning and feature selection, showing comparable performance with Nanopore as a viable alternative.

The paper examines the relationship between microbial sulfur and ammonium oxidizers and macrofaunal state in coastal seafloor samples, finding distinct microbial networks linked to macrofauna loss or preservation.