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Supply-driven evolution: mutation bias and trait-fitness distributions can drive macro-evolutionary dynamics

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Title: Supply-driven evolution: mutation bias and trait-fitness distributions can drive macro-evolutionary dynamics
Authors: Xue, Z
Chindelevitch, L
Guichard, F
Item Type: Journal Article
Abstract: Many well-documented macro-evolutionary phenomena still challenge current evolutionary theory. Examples include long-term evolutionary trends, major transitions in evolution, conservation of certain biological features such as hox genes, and the episodic creation of new taxa. Here, we present a framework that may explain these phenomena. We do so by introducing a probabilistic relationship between trait value and reproductive fitness. This integration allows mutation bias to become a robust driver of long-term evolutionary trends against environmental bias, in a way that is consistent with all current evolutionary theories. In cases where mutation bias is strong, such as when detrimental mutations are more common than beneficial mutations, a regime called “supply-driven” evolution can arise. This regime can explain the irreversible persistence of higher structural hierarchies, which happens in the major transitions in evolution. We further generalize this result in the long-term dynamics of phenotype spaces. We show how mutations that open new phenotype spaces can become frozen in time. At the same time, new possibilities may be observed as a burst in the creation of new taxa.
Issue Date: 10-Jan-2023
Date of Acceptance: 23-Nov-2022
URI: http://hdl.handle.net/10044/1/101988
DOI: 10.3389/fevo.2022.1048752
ISSN: 2296-701X
Publisher: Frontiers Media
Journal / Book Title: Frontiers in Ecology and Evolution
Volume: 10
Copyright Statement: © 2023 Xue, Chindelevitch and Guichard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Publication Status: Published
Article Number: ARTN 1048752
Online Publication Date: 2022-11-23
Appears in Collections:Department of Infectious Diseases
School of Public Health



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