Data Sheet 1_Untargeted metabolomics of mature sorghum [Sorghum bicolor (L.) Moench] grain

A metabolomics study of a non-tannin sorghum recombinant inbred line population of 189 individuals plus two parents, analyzed using LC-MS. The dataset likely contains metabolite profiles linked to antimicrobial activity against Clostridium perfringens, measured via minimum inhibitory concentration and qPCR assays. The data was authored by María Antonella Conti and last updated on 2026-05-11.

Use Cases

• Identify metabolite biomarkers for antimicrobial activity based on LC-MS profiles.
• Investigate the genetic basis of antimicrobial traits via QTL mapping based on metabolite abundance.
• Compare metabolic pathways enriched in different antimicrobial assay methods (qPCR vs MIC).
• Screen sorghum lines for potential feed additives based on metabolite signatures.

Strengths

• Focuses on a specific recombinant inbred line population of 189 sorghum individuals.
• Links metabolite data to two distinct antimicrobial activity assays (MIC and qPCR).
• Identifies 13 key metabolites and maps five to a major-effect QTL on chromosome 1.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

LC-MS untargeted metabolomics analysis of sorghum grain.

Freshness

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