Fungal Pathogen Communities in Reciprocal International Sentinel Tree Plantings

Foliar fungal pathogen communities were examined in reciprocal ex patria sentinel tree plantings across three continents. The dataset, created by Isabel Alvarez Munck and last updated in May 2026, reveals geographic location and tree species as the strongest predictors of community structure. High Throughput Sequencing (HTS) greatly expanded pathogen detection compared to classical methods, revealing numerous unculturable fungi and potential host-pathogen associations.

Use Cases

• Modeling fungal community structure based on geographic location and tree species.
• Comparing pathogen detection rates between High Throughput Sequencing and classical isolation-based methods.
• Analyzing seasonal variation in pathogen assemblages between early and late-season sampling.
• Investigating the prevalence of latent, epiphytic, or transient colonization in asymptomatic plants.

Strengths

• Data was generated using High Throughput Sequencing, which greatly expanded pathogen detection compared to classical methods.
• Sampling was conducted across three continents, maximizing geographic diversity.
• Multi-season sampling was implemented, capturing distinct communities between early and late-season.

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 small in scale at 198.9 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-05 05:29:01; freshness should be verified.

Geography

Three continents (specifics unknown).