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Updated: May 7, 2025
08:57
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
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Computational Methods for Lineage Reconstruction.
1Centro Nacional de Análisis Genómico, Barcelona, Spain.
Methods in Molecular Biology (Clifton, N.J.)
|January 2, 2025
Summary
This study demonstrates how to reconstruct animal cell lineages using genetic lineage recorders and phylogenetic algorithms. It provides a step-by-step guide using FastTree software for accurate genealogical history reconstruction.
Area of Science:
- Developmental Biology
- Genetics
- Bioinformatics
Background:
- Genetic lineage recorders enable tracking of cellular history through somatic mutations.
- Reconstructing complete animal cell lineages requires robust computational algorithms.
- Existing methods adapt phylogenetic algorithms for lineage reconstruction.
Purpose of the Study:
- To provide a practical, step-by-step method for reconstructing cell lineage trees.
- To illustrate the application of phylogenetic software in developmental biology.
- To ensure reproducibility in cell lineage analysis.
Main Methods:
- Utilizing CRISPR-Cas9 based genetic lineage recorder data.
- Employing the phylogenetic software FastTree for tree reconstruction.
- Presenting the methodology in a reproducible Jupyter Notebook format.
Main Results:
- Successful reconstruction of a simulated cell lineage tree.
- Demonstration of FastTree's utility in analyzing genetic lineage data.
- Code and input files made publicly available for replication.
Conclusions:
- Phylogenetic algorithms are effective tools for cell lineage reconstruction.
- Standardized computational approaches enhance the study of developmental processes.
- Open-source resources facilitate reproducible research in lineage tracing.
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