Screening whole genome sequencing datasets for the Eukaryome of globally distributed kelp species

This collaboration aims to screen whole genome sequencing datasets of globally distributed kelp species for host-associated eukaryotic taxa, filling a considerable gap in kelp holobiome biology.

Bacterial diversity of seaweed microbiomes has received considerable attention over the years. But far less is known about their eukaryotic component such as algae, fungi, and animals living in/on organisms – collectively called the Eukaryome. We need new diagnostic frameworks for characterising eukaryotic microbial diversity. This will allow us to meet increasing industry demands for certified seaweed products, and better understand ecologically significant kelp forest communities.

The collaboration will help establish a robust workflow for future genomic analyses of entire microbial communities. It will employ state-of-the art machine learning algorithms to classify sequences and enhance knowledge about kelp holobiomes.

Who's involved

Chief Investigator: Trevor Bringloe, School of Biosciences, Faculty of Science

MDAP Collaboration Lead: Noel Faux

Collaborators: MDAP, CSIRO, Sungkyunkwan University (South Korea), the Athlone Institute of Technology (Ireland), the National University of Ireland Galway, and the University of Victoria (Canada)