Soil Algae Genotypic Community Composition Across Wheat Growth Season and Farming Systems

A pilot study from Central Europe analyzing soil algal diversity across three principal time points during the growth of winter wheat. The dataset, published by Stefan Barthel, uses metabarcoding analysis to assess changes in the genotypic community composition of Chlorophyta, Stramenopiles, and Cyanobacteria under conventional and organic farming systems.

Use Cases

• Modeling seasonal shifts in algal community composition based on temperature and bare-soil availability mentioned in the description.
• Comparing the effects of conventional versus organic farming on algal biomass and ASV richness for specific taxonomic groups.
• Analyzing the impact of crop type (e.g., Zea mays) on the diversity of algal classes like Chlorophyceae and Cyanobacteria.
• Identifying invariant algal genotypes that do not respond to environmental disturbances, as described in the results.

Strengths

• Data covers three principal time points (March, July, November) during a wheat growth season.
• Analysis includes multiple taxonomic groups: 118 eukaryotic algal genera, Chlorophyta, Stramenopiles, and Cyanobacteria.
• Employs a multi-marker metabarcoding approach (23S UPA, 18S, ITS2, rbcL) for consistent pattern detection.

Limitations

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

Provenance

Source

figshare

Collection Method

Metabarcoding analysis based on amplicons from multiple genetic markers.

Time Range

Covers three time points (March, July, November) during a wheat growth season.

Freshness

Last updated 2026-04-16 05:26:16; freshness should be verified.

Geography

Central European arable land.