Machine learning and metagenomics identifies uncharacterized taxa inferred to drive biogeochemical cycles in a subtropical hypereutrophic estuary

These R scripts has been designed to :

1. Compute alpha and beta diversity of microbial communities, and correlate with physico-chemical parameters
2. Evaluate functions of the community
3. Identify indicator taxa for nitrates and total phosphorus concentrations

Brisbane river pelagic microbiome show spatio - temporal variation

Top 50 OTUs that contibute to this variation :

Citation:

Apoorva Prabhu, Sanjana Tule, Maria Chuvochina, Mikael Bodén, Simon J McIlroy, Julian Zaugg, Christian Rinke, Machine learning and metagenomics identifies uncharacterized taxa inferred to drive biogeochemical cycles in a subtropical hypereutrophic estuary, ISME Communications, Volume 4, Issue 1, January 2024, ycae067, https://doi.org/10.1093/ismeco/ycae067