Arbuscular Mycorrhizal Fungi Richness Across Wetland Types from 18S Meta-Analysis

A 2026 meta-analysis synthesizes 380 wetland samples targeting the 18S rDNA region to compare arbuscular mycorrhizal fungal (AMF) communities. The dataset, authored by Safinah S. Hakim and shared on figshare, categorizes wetlands into inland (freshwater, rice farm) and coastal (mangrove, salt marsh) types. It reveals higher AMF richness in inland wetlands and correlations with soil pH and climate variables.

Use Cases

• Compare fungal richness between inland and coastal wetland habitats based on the described categorization.
• Model the relationship between AMF community composition and environmental drivers like soil pH and climate.
• Investigate species turnover versus nestedness in beta diversity across different wetland types.
• Assess the unique AMF diversity pools in mangrove forests despite their low local richness.

Strengths

• Includes 380 wetland samples analyzed with a standardized high-throughput sequencing pipeline.
• Provides clear statistical correlations (e.g., R = -0.42 for MAP vs. richness) derived from meta-analysis.
• Compares AMF communities across four distinct wetland types: freshwater, rice farm, mangrove, and salt marsh.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset's 605.6 KB size indicates a limited scope, likely containing summary or processed data rather than raw sequences.

Provenance

Source

figshare

Collection Method

Meta-analysis of high-throughput sequencing (HTS) data targeting the 18S rDNA region.

Freshness

Last updated 2026-05-11 20:19:33; freshness should be verified.

Geography

Wetland samples, specific locations not detailed.