Mathematical models of diversification and innovation in biology

Author:

Fuentes Miguel123ORCID,Ferrada Evandro34

Affiliation:

1. IIF-SADAF, Bulnes 642, Buenos Aires 1428, Argentina

2. Santa Fe Institute, 1399 Hyde Park Road, Santa Fe NM 87501, USA

3. Instituto de Sistemas Complejos de Valparaíso, Artilleria 470, Valparaso 2360448, Chile

4. CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14, 1090 Vienna, Austria

Abstract

It is a great pleasure to be part of the celebration of Nitant Kenkre’s scientific career. In this paper, we review mathematical models for studying evolutionary branching and diversification in biology. We highlight insights provided by Nitant Kenkre’s work in the early 2000s as part of the Consortium of the Americas for Interdisciplinary Science. We focus on the use of these models for understanding the conditions that promote phenotypic diversification and innovation in biological systems, understood as the branching of stationary solutions, and some of the ideas that emerged as part of the research Consortium. We highlight recent developments and applications of stochastic, nonlocal partial derivative formalisms.

Funder

FONDECYT

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

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