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CELEBRIMBOR: core and accessory genes from metagenomes
Joel Hellewell1, Samuel T Horsfield1, Johanna von Wachsmann1
1European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
CELEBRIMBOR accurately identifies core genes in incomplete microbial genomes (Metagenome-Assembled Genomes and Single-cell Amplified Genomes) by adjusting frequency thresholds based on genome completeness. This pipeline improves pangenome analysis for fragmented genomic data.
Area of Science:
- Microbial genomics
- Bioinformatics
- Computational biology
Background:
- Metagenome-Assembled Genomes (MAGs) and Single-cell Amplified Genomes (SAGs) often suffer from incompleteness due to assembly errors or low coverage.
- This incompleteness challenges accurate identification of gene frequencies in microbial populations.
- Current pangenome methods mischaracterize core genes when they are missing in only a few genome assemblies.
Purpose of the Study:
- To develop a robust pangenome analysis pipeline for identifying core genes in incomplete MAGs and SAGs.
- To address the limitations of current pangenome approaches in handling fragmented genomic data.
- To enable accurate gene frequency determination in microbial populations represented by MAGs and SAGs.
Main Methods:
- Introduction of CELEBRIMBOR, a Snakemake-based pangenome analysis pipeline.
- Implementation of a genome completeness measure to dynamically adjust core gene identification thresholds.
- Utilizing Snakemake for reproducible and scalable pangenome analysis.
Main Results:
- CELEBRIMBOR accurately identifies core genes even in incomplete MAGs and SAGs.
- The pipeline automatically adjusts frequency thresholds based on genome completeness, overcoming limitations of fixed thresholds.
- Improved characterization of gene frequencies in microbial populations derived from fragmented genomes.
Conclusions:
- CELEBRIMBOR provides an accurate method for core gene identification in pangenome analyses of MAGs and SAGs.
- The pipeline enhances the reliability of microbial population gene frequency estimations.
- CELEBRIMBOR is an open-source tool available for broader application in microbial genomics.
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