biosyntheticSPAdes

biosyntheticSPAdes reconstructs biosynthetic gene clusters (BGCs) from fragmented genomic and shotgun metagenomic assemblies to improve recovery of pathways relevant to antibiotic and natural product discovery.


Key Features:

  • Fragmented Assembly Handling: Manages assemblies where BGCs are dispersed across multiple contigs rather than assuming each BGC is contained within a single contig.
  • Genome Assembly Graph Utilization: Leverages genome assembly graphs to infer connections between contigs and reconstruct longer BGC-encoding segments.
  • Application in Metagenomics: Improves BGC recovery from shotgun metagenomic datasets with short contigs by enabling reconstruction across contigs.

Scientific Applications:

  • Antibiotic Discovery: Supports identification and characterization of BGCs encoding antibiotic compounds by enabling more complete reconstructions.
  • Natural Product Research: Facilitates exploration of genetic pathways for biosynthesis of natural products by reconstructing multipart BGCs from fragmented data.

Methodology:

Analyzes assembly graphs derived from genomic and metagenomic data, identifies potential connections between contigs that may encode parts of a single BGC, and combines those contigs into longer segments.

Topics

Collections

Details

Added:
2/9/2024
Last Updated:
11/7/2024

Operations

Data Inputs & Outputs

Sequence assembly

Publications

Meleshko D, Mohimani H, Tracanna V, Hajirasouliha I, Medema MH, Korobeynikov A, Pevzner PA. BiosyntheticSPAdes: reconstructing biosynthetic gene clusters from assembly graphs. Genome Research. 2019;29(8):1352-1362. doi:10.1101/gr.243477.118. PMID:31160374. PMCID:PMC6673720.

Funding: - Russian Science Foundation: 19-14-00172 - Netherlands Organization for Scientific Research: 863.15.002, ALWGR.2015.1 - National Institutes of Health: 1T32GM083937

Documentation

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