Bacterial Community Profiles Across a Karst Landscape Draining into Lake Thun

16S rRNA gene sequences profile bacterial communities across soils, sediments, and surface and subsurface waters in a peri-alpine karst landscape draining into Lake Thun, Switzerland. The dataset, authored by Anusha Priya Singh and last updated in May 2026, demonstrates that environment type explains 19% of total variation in community composition. Core microbiome analyses show a 63.8% to 84.6% shared core taxa overlap between surface and subsurface hydrological networks.

Use Cases

• Modeling microbial community transitions based on the described terrestrial-aquatic interface gradient.
• Identifying environment-specific metabolic assemblages based on the co-occurrence network modules linked to peat soils, lake strata, and subsurface networks.
• Analyzing shared core taxa across hydrological networks based on the reported 63.8%–84.6% overlap.
• Studying redox-driven microbial processes based on the module linked to nitrogen compound, metal, and methane oxidation.

Strengths

• Includes samples from multiple environment types: soils, sediments, surface waters, subsurface waters, and distinct lake strata.
• Analysis quantifies that environment type explains 19% of total variation in bacterial communities.
• Core microbiome analysis reveals specific overlap percentages, such as 63.8%–84.6% shared core taxa between surface and subsurface networks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data collection is from a single geographic area (Lake Thun, Switzerland) under stable hydrological conditions, which may limit generalizability.

Provenance

Source

figshare

Collection Method

16S rRNA gene sequencing of environmental samples.

Freshness

Last updated 2026-05-13 04:30:20.

Geography

Peri-alpine karst landscape draining into Lake Thun, Switzerland.