Coffee Cherry Microbiota and Metabolites Across Four Planting Altitudes in Baoshan, China

Four planting altitudes (1,000 m to 1,600 m) were used to investigate their effects on Coffea arabica cherries. Illumina-based amplicon sequencing and UPLC-MS/MS technologies analyzed the microorganism community and related metabolites, while HPLC measured flavor precursor substances. The results show altitude significantly influences microbiomes and endogenous metabolites, with caffeine, trigonelline, and chlorogenic acid content decreasing as altitude increases.

Use Cases

• Modeling the relationship between planting altitude and microbial community composition based on identified dominant bacterial and fungal genera.
• Analyzing differential metabolite profiles between specific altitude pairings based on the counts of differentially changed metabolites.
• Investigating the correlation between altitude and flavor precursor concentrations based on measured caffeine, trigonelline, and chlorogenic acid content.

Strengths

• Data covers four distinct planting altitudes (1,000 m, 1,200 m, 1,400 m, and 1,600 m) for comparative analysis.
• Analysis includes multiple high-throughput techniques: Illumina amplicon sequencing for microbiota and UPLC-MS/MS for metabolites.
• Specific counts of differentially changed metabolites are provided for six pairwise altitude comparisons, such as 116 between AT4 and AT3.

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 in scale (369.1 KB), suggesting limited scope.

Provenance

Source

Xiaojing Shen via figshare

Collection Method

Illumina-based amplicon sequencing, UPLC-MS/MS, and HPLC analysis.

Freshness

Last updated 2026-05-04 05:32:44; freshness should be verified.

Geography

Baoshan, China