Arctic Deep-Sea Hydrothermal Metagenome Biosynthetic Gene Cluster Network

A 366.9 KB network analysis of Biosynthetic Gene Clusters (BGCs) recovered from Arctic deep-sea hydrothermal vent metagenome-assembled genomes (MAGs). The analysis was performed by Trong Thuc Nguyen using BiG-SCAPE v1.1.5 and includes MIBIG v3.1 reference BGCs. The dataset was published in April 2026.

Use Cases

• Identify BGC families and gene cluster relationships using network distance metrics.
• Compare novel BGCs from Arctic MAGs against known MIBIG v3.1 reference clusters.
• Analyze singleton BGCs that are not part of larger gene cluster families.
• Study the diversity of secondary metabolite potential in Arctic hydrothermal vent microbiomes.

Strengths

• Network computed with a specific raw distance cutoff of 0.3 for consistency.
• Includes singleton BGCs for a complete view of the data.
• Incorporates the MIBIG v3.1 reference database for comparative analysis.

Limitations

• The dataset is small at 366.9 KB, indicating a limited scope of analysis.
• The number of BGCs, MAGs, and network nodes/edges is unknown.
• Geographic scope is restricted to Arctic deep-sea hydrothermal vents.

Provenance

Source

figshare, authored by Trong Thuc Nguyen.

Collection Method

Analysis performed using BiG-SCAPE v1.1.5 in '--auto' mode with 'mix' and 'mibig' options on BGCs from MAGs.

Freshness

Last updated in April 2026, indicating recent analysis.

Geography

Arctic deep-sea hydrothermal vents.