GUNC

GUNC detects and quantifies chimerism and contamination in prokaryotic genomes by analyzing lineage homogeneity across contigs using the genome's full complement of genes.

Key Features:

• Chimerism Detection: Identifies chimeric sequences within prokaryotic genomes that arise from assembly errors combining fragments from different organisms.
• Contamination Quantification: Quantifies contamination levels by assessing lineage homogeneity across contigs to provide measures of genome integrity.
• Contig-level Lineage Analysis: Leverages the lineage homogeneity of individual contigs and the genome's full complement of genes for assessment.
• Complementary Approach: Targets types of contamination underdetected by other methods and conservatively estimates that 5.7% and 5.2% of genomes in GenBank and RefSeq, respectively, contain undetected chimeric sequences.
• Metagenome Application: Detects a substantial proportion (15–30%) of previously undetected chimeras in pre-filtered high-quality metagenome-assembled genomes (MAGs).
• Implementation: Implemented as a Python-based bioinformatics tool.

Scientific Applications:

• Genomic Quality Assurance: Improves detection and quantification of chimerism to enhance the reliability of prokaryotic genomic data.
• Metagenomics Research: Assesses assembly quality and contamination in metagenome-assembled genomes to support downstream analyses.
• Database Integrity: Identifies inaccuracies in public genome databases such as GenBank and RefSeq to support maintenance of genetic data quality.

Methodology:

Analyzes lineage homogeneity of individual contigs using the genome's full complement of genes to detect discrepancies indicative of chimerism or contamination.