pan-Draft: automated reconstruction of species-representative metabolic models from multiple genomes

The accurate reconstruction of genome-scale metabolic models (GEMs) for unculturable species poses challenges due to the incomplete and fragmented genetic information typical of metagenome-assembled genomes (MAGs). While existing tools leverage sequence homology from single genomes, this study introduces pan-Draft, a pan-reactome-based approach exploiting recurrent genetic evidence to determine the solid core structure of species-level GEMs. By comparing MAGs clustered at the species-level, pan-Draft addresses the issues due to the incompleteness and contamination of individual genomes, providing high-quality draft models and an accessory reactions catalog supporting the gapfilling step. This approach will improve our comprehension of metabolic functions of uncultured species.

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Publication Details

Journal
Genome biology
Published
2024-10-25
DOI
https://doi.org/10.1186/s13059-024-03425-1
Citations
9
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
2.10

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article

pan-Draft: automated reconstruction of species-representative metabolic models from multiple genomes

Silvio Waschina, Guido Zampieri, Laura Treu, Johannes Zimmermann et al.
9 citations
Genome biology
Microbial Metabolic Engineering and Bioproduction
2.10
article

pan-Draft: automated reconstruction of species-representative metabolic models from multiple genomes

Silvio Waschina, Guido Zampieri, Laura Treu, Johannes Zimmermann, Stefano Campanaro, Nicola Bernardini
article en
9 citations

Abstract

The accurate reconstruction of genome-scale metabolic models (GEMs) for unculturable species poses challenges due to the incomplete and fragmented genetic information typical of metagenome-assembled genomes (MAGs). While existing tools leverage sequence homology from single genomes, this study introduces pan-Draft, a pan-reactome-based approach exploiting recurrent genetic evidence to determine the solid core structure of species-level GEMs. By comparing MAGs clustered at the species-level, pan-Draft addresses the issues due to the incompleteness and contamination of individual genomes, providing high-quality draft models and an accessory reactions catalog supporting the gapfilling step. This approach will improve our comprehension of metabolic functions of uncultured species.

Genome biologyVol. 25(1)
University of Padua (IT), Christian-Albrechts-Universität zu Kiel (DE), Max Planck Institute for Evolutionary Biology (DE)
Università degli Studi di Padova
Openalex Percentile: Top 12%
Microbial Metabolic Engineering and Bioproduction
2.10
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