EukRep
EukRep classifies eukaryotic sequences in metagenomic datasets using a k-mer-based strategy to separate eukaryotic from prokaryotic fragments and enable genome recovery and metabolic analysis.
Key Features:
- K-mer-based classification: Implements a k-mer–based strategy to classify sequence fragments as eukaryotic or prokaryotic.
- Eukaryotic sequence identification: Distinguishes eukaryotic and prokaryotic fragments within mixed metagenomic data to facilitate extraction of eukaryotic sequences.
- Genome recovery and completeness evaluation: Supports reconstruction of near-complete eukaryotic genomes, demonstrated by recovery of three fungi (Eurotiomycetes) and an arthropod.
- Metabolic potential prediction: Enables downstream prediction of metabolic functions and detection of community metabolic shifts, as observed after organic carbon addition with increased secreted proteases, lipases, cellulose-targeting CAZymes, and methanol oxidation.
- Application to environmental samples: Applied to complex environmental datasets to reconstruct and evaluate high-quality genomes from fungi, protists, and rotifers for cultivation-independent community analyses.
Scientific Applications:
- Ecosystem and microbial community studies: Integrates eukaryotic sequences into metagenomic analyses to improve interpretation of microbial community dynamics and functions.
- Genome-resolved environmental genomics: Enables cultivation-independent reconstruction of near-complete eukaryotic genomes from environmental samples such as geyser-associated microbial communities.
- Metabolic response analysis: Detects metabolic shifts in eukaryotic populations under environmental perturbations, exemplified by changes after organic carbon addition (secreted proteases, lipases, CAZymes, methanol oxidation).
- Taxonomic recovery across eukaryotes: Facilitates recovery and evaluation of genomes from diverse eukaryotes including fungi, protists, rotifers, and arthropods.
Methodology:
Classifies sequence fragments using a k-mer-based strategy to separate eukaryotic from prokaryotic sequences.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 7/30/2025
- Last Updated:
- 7/30/2025
Operations
Data Inputs & Outputs
Nucleic acid sequence analysis
Publications
West PT, Probst AJ, Grigoriev IV, Thomas BC, Banfield JF. Genome-reconstruction for eukaryotes from complex natural microbial communities. Genome Research. 2018;28(4):569-580. doi:10.1101/gr.228429.117. PMID:29496730. PMCID:PMC5880246.
Funding: - National Science Foundation: DGE 1106400
- Sloan Foundation: G-2016-20166041
- Office of Science of the US Department of Energy: DE-AC02-05CH11231
- German Science Foundation: DFG PR 1603/1-1