protTrace

protTrace estimates the evolutionary traceability of proteins to quantify when sequence-similarity decay limits ortholog detection and to inform inference of ancient gene sets and functional conservation.


Key Features:

  • Evolutionary Traceability Measure: Introduces a metric called "evolutionary traceability" that quantifies the evolutionary distance beyond which ortholog search sensitivity becomes limiting.
  • Application to Yeast Genes: Applied to yeast genes, showing that high-traceability genes are often involved in catalysis, ion transport, and ribonucleoprotein complex assembly, functions inferred to date back to LUCA.
  • Insights into Gene Functions: Identifies that genes with insufficient traceability for inferring presence at LUCA are enriched for regulatory functions.
  • Essential Genes Analysis: Analyzes genes essential for self-replicating cells and identifies many bacterial-restricted genes with low traceability, raising questions about overlooked orthologs in eukaryotic and archaeal domains.
  • Case Study — REC8 Protein: Demonstrates that adjusting search sensitivity based on traceability can uncover previously missed orthologs of REC8 in rapidly evolving organisms such as microsporidia.

Scientific Applications:

  • Gene Set Reconstruction: Aids refinement of gene set reconstructions across different domains of life by accounting for detection limits due to sequence-similarity decay.
  • Functional Network Conservation: Improves distinction between true ortholog absence and detection failure, informing analyses of protein network conservation and evolution.
  • Evolutionary Biology Research: Enables analysis of evolutionary relationships, gene function, adaptation, and traceability across diverse species.

Methodology:

Employs a simulation-based framework that analyzes orthologs and their decay in sequence similarity over time to compute evolutionary traceability and quantify the point at which ortholog searches become unreliable.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
6/22/2019
Last Updated:
6/16/2020

Operations

Data Inputs & Outputs

Publications

Jain A, Perisa D, Fliedner F, von Haeseler A, Ebersberger I. The Evolutionary Traceability of a Protein. Genome Biology and Evolution. 2019;11(2):531-545. doi:10.1093/gbe/evz008. PMID:30649284. PMCID:PMC6394115.

PMID: 30649284
PMCID: PMC6394115
Funding: - Marie Curie ITN project CALIPSO: GA ITN-2013 607 607 - LOEWE Centre Translational Biodiversity Genomics: I-1824-B22

Documentation

Links