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 (Triticum aestivum). The dataset, published by Stefan Barthel in 2026, likely contains metabarcoding results from multiple genetic markers, detailing changes in algal community composition between conventional and organic farming systems.

Use Cases

• Modeling temporal shifts in soil algal communities based on sampling time points (March, July, November) mentioned in the description.
• Comparing the effects of conventional versus organic farming systems on algal biomass and genotype richness.
• Analyzing the influence of crop type (e.g., Zea mays) on specific algal class diversity within a farming system.
• Identifying invariant algal genotypes that do not respond to environmental disturbances based on the described community fractions.

Strengths

• Data covers three distinct time points (March, July, November) during a wheat growth season.
• Compares two contrasting farming systems (conventional and organic).
• Analysis employs multiple genetic markers (e.g., 23S UPA, 18S, ITS2, rbcL) for cross-validation.
• Identifies 118 genera of eukaryotic algae and details responses of specific algal classes.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is described as a pilot study, suggesting a limited scope.
• Data is provided as a PDF (226.5 KB), which may require extraction for computational analysis.

Provenance

Source

figshare, author Stefan Barthel.

Collection Method

Metabarcoding analysis based on amplicons from multiple genetic markers.

Time Range

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

Freshness

Last updated 2026-04-16 05:26:17.

Geography

Arable land under Central European agricultural practices.