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Maximum likelihood methods for phylogenetic trees can be inconsistent in complex scenarios, challenging long-held assumptions. Parsimony methods may be more reliable under realistic conditions, requiring a re-evaluation of existing arguments.

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Area of Science:

  • Phylogenetic inference
  • Computational evolutionary biology

Background:

  • Parsimony and maximum likelihood are common methods for constructing phylogenetic trees.
  • Likelihoodists have traditionally argued against parsimony due to perceived inconsistencies.

Discussion:

  • Recent statistical research indicates maximum likelihood estimation can be inconsistent in non-trivial cases.
  • This challenges the assumption of maximum likelihood's reliability in realistic phylogenetic analyses.

Key Insights:

  • The consistency of maximum likelihood is not guaranteed under realistic conditions.
  • Arguments against parsimony based on likelihood's consistency may no longer be valid.

Outlook:

  • Further research is needed to explore the conditions under which different phylogenetic methods are consistent.
  • A re-evaluation of the theoretical underpinnings for phylogenetic inference methods is warranted.