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La simplicidad de los linajes celulares de los metazoos

Ricardo B R Azevedo¹, Rolf Lohaus, Volker Braun

¹Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204-5001, USA. razevedo@uh.edu

|January 15, 2005

Resumen

La complejidad biológica en el desarrollo embrionario es sorprendentemente simple. Una nueva investigación introduce la complejidad algorítmica para medir los linajes celulares, encontrando que el desarrollo de los metazoos es más simple de lo esperado y moldeado por la selección para reducir la complejidad.

Área de la Ciencia:

Biología del desarrollo evolutivo Biología del desarrollo evolutivo
Biología computacional Biología computacional.
Biología de sistemas Biología de sistemas.

Sus antecedentes:

Los procesos de desarrollo son complejos, pero rara vez se cuantifican entre especies.
La medición de la complejidad biológica sigue siendo un desafío importante.

Objetivo del estudio:

Introducir una nueva medida de la complejidad biológica basada en la teoría de la información algorítmica.
Para cuantificar y comparar la complejidad de los linajes celulares embrionarios en metazoos.

Principales métodos:

Complejidad algorítmica definida de un linaje celular utilizando sus sublíneas.
Aplicó esta medida a linajes embrionarios de cuatro especies de metazoos.
Realizó simulaciones evolutivas para explorar la evolución de la complejidad bajo restricciones.

Principales resultados:

Los linajes celulares embrionarios de metazoos son significativamente más simples que los aleatorios.
Los linajes estudiados se acercan a la complejidad mínima alcanzable bajo fuertes restricciones de desarrollo.
Las simulaciones evolutivas apoyan el papel de las restricciones del desarrollo y la estabilización de la selección.

Conclusiones:

La selección para la disminución de la complejidad es un factor importante en la formación de linajes celulares metazoares.
La complejidad algorítmica proporciona un marco cuantitativo para el estudio de la evolución del desarrollo.
Los procesos de desarrollo pueden evolucionar hacia la simplicidad en lugar de la complejidad.

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