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Is ACCTRAN better than DELTRAN?

Ingi Agnarsson1,2, Jeremy A Miller3

  • 1Institute of Biology, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, Novi trg 2, PO Box 306, SI-1001 Ljubljana, Slovenia.

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Summary
This summary is machine-generated.

Parsimony ancestral character reconstruction often favors complex states, but this does not mean accelerated transformation (ACCTRAN) minimizes parallel gains. Neither ACCTRAN nor delayed transformation (DELTRAN) consistently reduce parallel trait evolution.

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Area of Science:

  • Evolutionary Biology
  • Phylogenetics
  • Computational Biology

Background:

  • Parsimony ancestral character reconstruction often favors secondary loss of complex traits over parallel gains to maintain homology hypotheses.
  • This asymmetry in character state complexity is crucial for understanding evolutionary processes.

Discussion:

  • A common misconception links the preference for complex states in parsimony to the accelerated transformation (ACCTRAN) algorithm.
  • ACCTRAN assigns changes near the root, leading some to believe it minimizes parallel gains of complex traits.
  • This study challenges the notion that ACCTRAN is philosophically superior due to this perceived minimization.

Key Insights:

  • Neither ACCTRAN nor delayed transformation (DELTRAN) consistently minimize parallel gains of complex traits.
  • Simple examples demonstrate that ACCTRAN does not inherently reduce hypotheses of parallel trait origins.
  • Theoretical grounds for favoring ACCTRAN over DELTRAN based on minimizing parallel gains are unsubstantiated.

Outlook:

  • Re-evaluation of algorithmic preferences in phylogenetic reconstruction is necessary.
  • Further research should explore alternative methods for resolving ambiguity in ancestral character reconstruction.
  • Understanding the true implications of ACCTRAN and DELTRAN for evolutionary hypotheses requires careful empirical and theoretical analysis.