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Updated: Oct 17, 2025

A Practical Guide to Phylogenetics for Nonexperts
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Controls for Phylogeny and Robust Analysis in Pareto Task Inference.

Miri Adler1, Avichai Tendler2, Jean Hausser3

  • 1Klarman Cell Observatory, Eli and Edythe L. Broad Institute of Harvard and MIT, Cambridge, MA, USA.

Molecular Biology and Evolution
|October 11, 2021
PubMed
Summary

Pareto task inference (ParTI) is a valid method for studying evolutionary tradeoffs. New methods confirm ParTI

Keywords:
ecologyphenotypic selectionstatisticssystems biology

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Area of Science:

  • Evolutionary biology
  • Quantitative biology
  • Phylogenetics

Background:

  • Understanding organismal tradeoffs is central to evolutionary biology.
  • Pareto task inference (ParTI) is a key method for identifying these tradeoffs.
  • Recent studies questioned ParTI's validity due to phylogenetic dependence and statistical concerns.

Purpose of the Study:

  • To refute claims that ParTI results are spurious.
  • To introduce new methods for robust ParTI analysis.
  • To demonstrate ParTI's applicability across diverse biological systems.

Main Methods:

  • Developed SibSwap, a novel method to control for phylogenetic dependence.
  • Assessed robustness of preprocessing choices to mitigate p-hacking concerns.
  • Introduced new methods to control for population structure.

Main Results:

  • Published ParTI inferences are robust to phylogenetic dependence.
  • ParTI analysis is resilient to p-hacking when preprocessing is rigorously tested.
  • New methods effectively control for population structure in ParTI studies.

Conclusions:

  • Claims against ParTI's validity are baseless.
  • The presented methods enhance the reliability and applicability of ParTI.
  • ParTI remains a powerful tool for evolutionary tradeoff research.