Fungal Pathogen Communities in Reciprocal International Sentinel Tree Plantings

High Throughput Sequencing (HTS) revealed thousands of potential fungal pathogens in asymptomatic sentinel plants, challenging symptom-based detection methods. The dataset compares foliar fungal communities across tree species and geographic locations on three continents, with samples collected in multiple seasons. It was created by Isabel Alvarez Munck and last updated in May 2026.

Use Cases

• Modeling fungal community structure based on geographic location and tree species mentioned in the description
• Identifying latent or epiphytic pathogens in asymptomatic leaf samples as described
• Analyzing seasonal variation in pathogen assemblages referenced in the study
• Comparing pathogen detection rates between HTS and classical isolation-based methods discussed

Strengths

• Data was generated using High Throughput Sequencing, which the description states greatly expanded pathogen detection compared to classical methods
• Study design includes reciprocal sentinel plantings across three continents, maximizing geographic and host diversity
• Implements multi-season sampling as recommended in the description

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 relatively small at 432.7 KB, indicating limited scope

Provenance

Source

Isabel Alvarez Munck via figshare

Collection Method

High Throughput Sequencing of foliar fungal communities from reciprocal ex patria sentinel plantings.

Freshness

Last updated 2026-05-05 05:29:01

Geography

Samples collected from sentinel plantings across three continents.