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Cálculo bayesiano aproximado para árboles binarios de Markovian en filogenética

Mingqi He1, Sophie Hautphenne2, Yao-Ban Chan1

  • 1School of Mathematics and Statistics, The University of Melbourne, Melbourne, Victoria, 3010, Australia; Melbourne Integrative Genomics, The University of Melbourne, Melbourne, Victoria, 3010, Australia.

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|September 4, 2025
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Resumen
Este resumen es generado por máquina.

Este estudio introduce los árboles binarios de Markovian (MBTs) para modelar la evolución de las especies y las tasas de diversificación. Nuestro nuevo método de cálculo bayesiano aproximado (ABC) infiere con precisión estas tasas de formas de árboles filogenéticos.

Palabras clave:
Proceso de ramificaciónÁrbol binario de MarkovianCálculo Bayesiano aproximadoÁrbol filogenético

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Área de la Ciencia:

  • Biología evolutiva
  • Filogenética computacional
  • Modelado estadístico

Sus antecedentes:

  • Los árboles filogenéticos revelan relaciones evolutivas y tasas de diversificación.
  • La comprensión de los mecanismos macroevolutivos requiere modelos realistas de diversificación.
  • Los procesos de ramificación multitipo ofrecen marcos flexibles para el modelado filogenético.

Objetivo del estudio:

  • Introducir árboles binarios de Markovian (MBTs) como un modelo flexible para las tasas de diversificación basadas en rasgos.
  • Desarrollar y evaluar un esquema de cálculo bayesiano (ABC) aproximado para inferir parámetros MBT a partir de formas de árboles filogenéticos.
  • Aplicar el método desarrollado a datos filogenéticos del mundo real para probar hipótesis evolutivas.

Principales métodos:

  • Utilizó árboles binarios de Markovian (MBTs), una clase de procesos de ramificación de tipo múltiple.
  • Desarrolló un esquema de cálculo bayesiano aproximado (ABC) para inferir parámetros MBT.
  • Empleó formas de árboles filogenéticos como la fuente principal de información para la inferencia.
  • Validación del método ABC mediante estudios de simulación y comparación con métodos basados en la probabilidad.

Principales resultados:

  • El esquema ABC deduce con precisión las tasas de diversificación de las formas de árboles filogenéticos.
  • El método demuestra la capacidad de detectar variaciones en las tasas de diversificación.
  • La precisión del método ABC es comparable a, y a menudo excede, la de los métodos basados en la probabilidad.
  • La aplicación a la filogenia de Squamata apoya las transiciones bidireccionales entre la oviparidad y la viviparidad.

Conclusiones:

  • El método ABC desarrollado proporciona una herramienta poderosa para la inferencia filogenética utilizando modelos evolutivos complejos.
  • Los esquemas de inferencia libres de probabilidad permiten el uso de modelos filogenéticos más realistas.
  • Los hallazgos refuerzan las hipótesis evolutivas con respecto a las transiciones de modo reproductivo en Squamata.