Imperial College London
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DrLeonidChindelevitch

Faculty of Medicine, School of Public Health

Lecturer in Infectious Disease Epidemiology
 
 
 
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Contact

 

l.chindelevitch Website

 
 
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Location

 

Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Xue:2023:10.3389/fevo.2022.1048752,
author = {Xue, Z and Chindelevitch, L and Guichard, F},
doi = {10.3389/fevo.2022.1048752},
journal = {Frontiers in Ecology and Evolution},
title = {Supply-driven evolution: mutation bias and trait-fitness distributions can drive macro-evolutionary dynamics},
url = {http://dx.doi.org/10.3389/fevo.2022.1048752},
volume = {10},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Xue,Z
AU  - Chindelevitch,L
AU  - Guichard,F
DO  - 10.3389/fevo.2022.1048752
PY  - 2023///
SN  - 2296-701X
TI  - Supply-driven evolution: mutation bias and trait-fitness distributions can drive macro-evolutionary dynamics
T2  - Frontiers in Ecology and Evolution
UR  - http://dx.doi.org/10.3389/fevo.2022.1048752
UR  - http://hdl.handle.net/10044/1/101988
VL  - 10
ER  -
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