Sorghum Grain Metabolomics and Antimicrobial Activity Against Clostridium Perfringens

189 sorghum recombinant inbred lines were analyzed using LC-MS untargeted metabolomics to investigate antimicrobial activity against Clostridium perfringens. The study identified 13 metabolites most relevant for separating high and low antimicrobial activity lines and mapped five metabolites to a major-effect QTL on chromosome 1. This dataset, authored by María Antonella Conti and last updated in 2026, provides insight into the metabolic basis of antimicrobial activity in sorghum for poultry feed development.

Use Cases

• Identify metabolite biomarkers for antimicrobial activity based on LC-MS untargeted metabolomics profiles.
• Perform QTL mapping for metabolite biosynthesis based on the identified major-effect QTL on chromosome 1.
• Compare metabolic pathway enrichment between different antimicrobial activity measurement methods (MIC vs qPCR).
• Investigate the role of hydroxycinnamic acids and glycerophosphates in pathogen inhibition based on their higher abundance in high-activity lines.

Strengths

• Includes data from 189 sorghum recombinant inbred lines plus two parents, providing genetic diversity for analysis.
• Identifies 13 key metabolites associated with antimicrobial activity, offering specific biochemical targets.
• Links metabolite abundance to a major-effect QTL on chromosome 1 at 25.6 Mb, connecting genetics to biochemistry.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (75.7 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

LC-MS untargeted metabolomics analysis of a non-tannin sorghum recombinant inbred line population.

Freshness

Last updated 2026-05-11 05:29:17; freshness should be verified.