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Related Experiment Video

Updated: Apr 6, 2026

Visual and Microscopic Evaluation of Streptomyces Developmental Mutants

Visual and Microscopic Evaluation of Streptomyces Developmental Mutants

Published on: September 12, 2018

Using the phenoscape knowledgebase to relate genetic perturbations to phenotypic evolution.

Prashanti Manda^1,2, James P Balhoff^1,2, Hilmar Lapp^2,3

¹Department of Biology, University of North Carolina, Chapel Hill, North Carolina.

Genesis (New York, N.Y. : 2000)

|July 30, 2015

Summary

The Phenoscape Knowledgebase (KB) links genetic variation in model organisms to natural phenotypic diversity across species. This tool aids in understanding evolutionary phenotypes by comparing gene-based traits with species-wide variations.

Keywords:

candidate genes phenotypic variation semantic similarity

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Area of Science:

Developmental Biology
Evolutionary Biology
Genetics

Background:

Model organisms offer limited insights into the full spectrum of phenotypic diversity.
Understanding natural phenotypic variation is crucial for advancing developmental and genetic research.
The Phenoscape Knowledgebase (KB) was developed to explore and discover phenotypic variations across species.

Purpose of the Study:

To demonstrate the utility of the Phenoscape KB in identifying evolutionary phenotypes.
To enable comparisons between phenotypes from genetic perturbations in model organisms and evolutionary phenotypes.
To facilitate the discovery of taxa exhibiting evolutionary variation similar to query genes.

Main Methods:

Phenotypes in the KB are annotated using standardized ontologies for consistent comparison.
An evolutionary profile, defined as variable phenotypes among daughter taxa, was created for each node in the taxonomic tree.
Semantic similarity searches were performed to match gene-based phenotypes with evolutionary profiles, assessing statistical significance.

Main Results:

The KB successfully identified taxa with evolutionary phenotypes mirroring those of query genes.
The semantic similarity interface allows users to evaluate the statistical significance of matches.
The system flags potential matches arising from differential annotation coverage between genetic and evolutionary studies.

Conclusions:

The Phenoscape KB is a valuable tool for bridging genetic knowledge from model organisms with natural phenotypic diversity.
This approach enhances our understanding of evolutionary phenotypes and their genetic underpinnings.
The KB supports the challenge of integrating vast genetic data with the complexity of phenotypes observed in nature.