Identifying Eukaryotes and Factors Influencing Their Biogeography in Drinking Water Metagenomes

Identification
DOI: 10.1021/acs.est.2c09010 Publication Date: 2023-02-24T20:45:00Z
ABSTRACT
The biogeography of eukaryotes in drinking water systems is poorly understood relative to that prokaryotes or viruses, limiting the understanding their role and management. A challenge with studying complex eukaryotic communities metagenomic analysis workflows are currently not as mature those focus on viruses. In this study, we benchmarked different strategies recover sequences genomes from data applied best-performing workflow explore factors affecting abundance diversity distribution (DWDSs). We developed an ensemble approach exploiting k-mer- reference-based improve sequence identification identified MetaBAT2 binning for clustering. Applying DWDS metagenomes showed typically constituted small proportions (i.e., <1%) overall higher abundances surface water-fed chlorinated high residuals. α β diversities were correlated prokaryotic viral communities, highlighting common environmental/management factors. Finally, a co-occurrence highlighted clusters whose members' presence DWDSs affected by disinfection strategies, climate conditions, source types.
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