Life as a Categorical Information-Handling System: An Evolutionary Information-Theoretic Model of the Holobiont

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Main Author: Carvajal-Rodríguez, Antonio
Format: Preprint
Published: 2025
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author Carvajal-Rodríguez, Antonio
author_facet Carvajal-Rodríguez, Antonio
contents Living systems can be understood as organized entities that capture, transform, and reproduce information. Classical gene-centered models explain adaptation through frequency changes driven by differential fitness, yet they often overlook the higher-order organization and causal closure that characterize living systems. Here we revisit several evolutionary frameworks, from the replicator equation to group selection and holobiont dynamics, and show that evolutionary change in population frequencies can be expressed as a Jeffreys divergence. Building on this foundation, we introduce a categorical model of Information Handlers (IH), entities capable of self-maintenance, mutation, and combination. This abstract architecture illustrates the usefulness of category theory for framing evolutionary processes that range from very simple to highly complex. The same categorical scheme can represent basic allele-frequency change as well as more elaborate scenarios involving reproductive interactions, symbiosis, and other organizational layers. A key feature of the framework is that different levels of evolutionary change can be summarized through a measure that quantifies the information generated, thereby distinguishing diverse types of evolutionary transformation such as individual and sexual selection, mate choice, or even holobiont selection. Finally, we show that the informational partition associated with host-microbiome pairings in holobionts generalizes the information-theoretic structure previously developed for non-random mating, revealing a common underlying architecture across biological scales.
format Preprint
id arxiv_https___arxiv_org_abs_2511_03346
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Life as a Categorical Information-Handling System: An Evolutionary Information-Theoretic Model of the Holobiont
Carvajal-Rodríguez, Antonio
Populations and Evolution
Living systems can be understood as organized entities that capture, transform, and reproduce information. Classical gene-centered models explain adaptation through frequency changes driven by differential fitness, yet they often overlook the higher-order organization and causal closure that characterize living systems. Here we revisit several evolutionary frameworks, from the replicator equation to group selection and holobiont dynamics, and show that evolutionary change in population frequencies can be expressed as a Jeffreys divergence. Building on this foundation, we introduce a categorical model of Information Handlers (IH), entities capable of self-maintenance, mutation, and combination. This abstract architecture illustrates the usefulness of category theory for framing evolutionary processes that range from very simple to highly complex. The same categorical scheme can represent basic allele-frequency change as well as more elaborate scenarios involving reproductive interactions, symbiosis, and other organizational layers. A key feature of the framework is that different levels of evolutionary change can be summarized through a measure that quantifies the information generated, thereby distinguishing diverse types of evolutionary transformation such as individual and sexual selection, mate choice, or even holobiont selection. Finally, we show that the informational partition associated with host-microbiome pairings in holobionts generalizes the information-theoretic structure previously developed for non-random mating, revealing a common underlying architecture across biological scales.
title Life as a Categorical Information-Handling System: An Evolutionary Information-Theoretic Model of the Holobiont
topic Populations and Evolution
url https://arxiv.org/abs/2511.03346