Microbotryum Intermedium Predicted Secreted Proteins and Blastp Results

Michael Perlin's dataset, last updated in April 2026, contains computationally predicted secreted effector proteins for the smut fungus Microbotryum intermedium. The data, stored in a 12.6 KB XLSX file, represents the canonical secretome identified via a stringent bioinformatics pipeline. This work aims to identify virulence factors for this biotrophic pathogen of Scabiosa plants.

Use Cases

• Identifying candidate fungal virulence factors based on predicted secreted proteins.
• Comparative genomics analysis based on Blastp results against known effector databases.
• Prioritizing experimental targets for functional validation in plant-fungal interactions.

Strengths

• Data is shared under a permissive CC-BY-4.0 license.
• The computational pipeline was applied stringently, as described, to predict the canonical secretome.
• File size is 12.6 KB, indicating a focused and manageable dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Michael Perlin.

Collection Method

A pipeline of computational tools was used to stringently predict secreted proteins from the Microbotryum intermedium genome.

Time Range

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Freshness

Last updated 2026-04-24 16:16:55; freshness should be verified.

Geography

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