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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
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Mass-Based Protein Phylogenetic Approach to Identify Epistasis
1Infectious Disease Responses Laboratory, University of New South Wales, Sydney, NSW, Australia. kevin.downard@unsw.edu.au.
Methods in Molecular Biology (Clifton, N.J.)
|March 18, 2021
Summary
A new mass-based protein phylogeny method (phylonumerics) builds evolutionary trees from protein mass data, revealing non-synonymous mutations and epistatic interactions crucial for understanding viral evolution.
Area of Science:
- Proteomics
- Evolutionary Biology
- Bioinformatics
Background:
- Phylogenetic analysis traditionally relies on gene or protein sequences.
- Studying evolutionary history often requires understanding non-synonymous mutations and their interactions.
Purpose of the Study:
- Introduce phylonumerics, a mass-based protein phylogeny method.
- Apply the MassTree algorithm to construct phylogenetic trees from mass spectrometry data.
- Investigate epistatic interactions and mutation patterns in viral evolution.
Main Methods:
- Utilized the MassTree algorithm for phylogenetic tree construction from protein mass map data.
- Computed non-synonymous mutations based on mass differences between peptide pairs.
- Identified epistatic mutation pairs based on co-occurrence and proximity in the tree.
- Analyzed mutation patterns in H3 hemagglutinin protein of influenza A (H3N2) strains.
Main Results:
- Phylonumerics generates trees congruent with sequence-based phylogenies.
- Identified epistatic mutation pairs, with a focus on non-conservative substitutions.
- Ancestral mutations in H3 hemagglutinin occurred in antigenic sites and glycosylation sites.
- Descendant mutations also occurred at antigenic sites and glycosylation sites.
Conclusions:
- Phylonumerics offers a novel, sequence-independent approach to evolutionary studies.
- Epistatic interactions and non-conservative mutations are key drivers of influenza virus evolution.
- Results support a 'small steps' evolutionary model favoring minimal structural change.
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