Table 2_Untargeted metabolomic profiling and genome mining of endophytic Stenotrophomonas

A multi-omics study by Pramod Kumar Sahu, last updated in May 2026, investigates the biocontrol potential of the endophytic bacterium Stenotrophomonas maltophilia strain 3A against the tomato pathogen Ralstonia solanacearum. The research combines FTIR and LC-MS/MS-based metabolomic analysis with whole genome sequencing and antiSMASH analysis to identify bioactive secondary metabolites and biosynthetic gene clusters. Results indicate the strain's antagonistic activity and successful colonization in tomato root and stem tissues.

Use Cases

• Identify potential biocontrol compounds based on LC-MS/MS metabolite profiling mentioned in the description
• Study biosynthetic gene clusters (BGCs) for secondary metabolite production based on antiSMASH analysis results
• Investigate endophytic colonization mechanisms in plants based on confocal laser scanning microscopy (CLSM) evidence
• Analyze metabolic pathways like glycerophospholipid or diterpenoid biosynthesis based on KEGG enrichment analysis

Strengths

• Integrates multiple analysis methods: FTIR, LC-MS/MS metabolomics, whole genome sequencing, and antiSMASH
• Confirms endophytic colonization and localization in plant tissues via confocal laser scanning microscopy (CLSM)
• Identifies five biosynthetic gene clusters (BGCs) responsible for bioactive peptide production

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Pramod Kumar Sahu via figshare

Collection Method

Multi-omics approach combining experimental antagonism assays, metabolomic profiling (FTIR, LC-MS/MS), and genomic analysis.

Freshness

Last updated 2026-05-12 05:42:33; freshness should be verified