[Paper Review] An empirical guide for producing a dated phylogeny with treePL in a maximum likelihood framework
This paper provides a step-by-step protocol for obtaining a dated phylogeny with treePL within a maximum likelihood framework, includes reproducible data, and compares treePL results to BEAST2-built phylogenies.
treePL uses a penalised likelihood approach to produce a dated phylogeny in a maximum likelihood framework. Since its publication in 2012, few resources have been developed to explain how to use it properly. In this guide, I provide a step-by-step protocol for producing a dated phylogeny using treePL, based on my experience building a large dated phylogeny with it and conducting additional tests on a smaller phylogeny. I also provide the necessary data to reproduce one of the example phylogenies presented. I compare these treePL phylogenies to BEAST2-built counterparts. Even though I cannot explain precisely how treePL works, the evidence discussed in this guide suggest that the empirical protocol presented is reliable.
Motivation & Objective
- Provide a practical protocol for using treePL to generate dated phylogenies within a maximum likelihood framework.
- Share empirical experiences from building a large dated phylogeny and testing on a smaller phylogeny.
- Offer reproducible data to replicate example phylogenies and facilitate method evaluation.
Proposed method
- Describe a step-by-step protocol for treePL usage in ML dating.
- Present empirical tests and comparisons with BEAST2-derived phylogenies.
- Offer supplementary data to reproduce at least one example phylogeny.
- Discuss reliability of the empirical protocol based on observed results.
Experimental results
Research questions
- RQ1Can treePL produce reliable dated phylogenies within a maximum likelihood framework when following an explicit empirical protocol?
- RQ2How do treePL-derived dated phylogenies compare to BEAST2-built counterparts in this context?
- RQ3What data and tests are needed to replicate the example phylogenies and assess robustness?
Key findings
- An empirical protocol with step-by-step guidance can yield dated phylogenies using treePL.
- TreePL phylogenies are compared to BEAST2 results, informing reliability and differences between methods.
- Supplementary data enables replication of the example phylogenies.
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This review was created by AI and reviewed by human editors.