Selectively Advantageous Instability and Information Theory in Sex-Specific Aging

Abstract Biological information is generally thought to be subject to selection for faithful maintenance. However, accurate preservation is often combined with regulated mechanisms that generate state change. Selectively advantageous instability (SAI) of biological information is modeled here as instability that is favored because useful alternatives become accessible. Modeling shows that active destabilization is favored above a threshold determined by environmental change, passive error, destabilization cost, and the relative adaptive targeting of active versus passive variation. When actively generated variation is sufficiently structured, selection simultaneously favors increased maintenance and increased active destabilization of the same information channel. This relationship is described as stabilization-destabilization complementarity. Shannon entropy quantifies uncertainty, whereas relative entropy quantifies mismatch between generated and fitness-relevant state distributions. Aging is not produced by reversible state-space exploration alone. Aging results when selected exploration also causes persistent or cumulative loss of maintained organization. Age and sex extensions show how delayed costs and shared genetic control can generate antagonistic pleiotropy and sexual conflict. A unified interpretation is provided in which SAI can be selected as a mechanism of adaptive state space exploration even when long term information displacement is costly.

Authors

Institutions

Publication Details

Journal
Entropy
Published
2026-11-08
DOI
https://doi.org/10.3390/e28111231
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Selectively Advantageous Instability and Information Theory in Sex-Specific Aging

John Tower
Entropy
Evolution and Genetic Dynamics
article

Selectively Advantageous Instability and Information Theory in Sex-Specific Aging

John Tower
article en

Abstract

Abstract Biological information is generally thought to be subject to selection for faithful maintenance. However, accurate preservation is often combined with regulated mechanisms that generate state change. Selectively advantageous instability (SAI) of biological information is modeled here as instability that is favored because useful alternatives become accessible. Modeling shows that active destabilization is favored above a threshold determined by environmental change, passive error, destabilization cost, and the relative adaptive targeting of active versus passive variation. When actively generated variation is sufficiently structured, selection simultaneously favors increased maintenance and increased active destabilization of the same information channel. This relationship is described as stabilization-destabilization complementarity. Shannon entropy quantifies uncertainty, whereas relative entropy quantifies mismatch between generated and fitness-relevant state distributions. Aging is not produced by reversible state-space exploration alone. Aging results when selected exploration also causes persistent or cumulative loss of maintained organization. Age and sex extensions show how delayed costs and shared genetic control can generate antagonistic pleiotropy and sexual conflict. A unified interpretation is provided in which SAI can be selected as a mechanism of adaptive state space exploration even when long term information displacement is costly.

EntropyVol. 28(11)
University of Southern California (US)
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon