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Muller’s ratchet and gene duplication

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posted on 2025-07-11, 11:41 authored by Fabian FreundFabian Freund, Johannes Wirtz, Yichen Zheng, Yannick Schäfer, Thomas Wiehe
Copy number of genes in gene families can be highly variable among individuals and may continue to change across generations. Here, we study a model of duplication–selection interaction, which is related to Haigh's mutation–selection model of Muller's ratchet. New gene copies are generated by duplication but fitness of individuals decreases as copy number increases. Our model comes in two flavors: duplicates are copied either from a single template or from any existing copy. A duplication–selection equilibrium exists in both cases for infinite size populations and is given by a shifted Poisson or a negative binomial distribution. Unless counteracted by synergistic epistasis, finite populations suffer from loss of low copy-number haplotypes by drift, forcing them into a regime called ‘run-away evolution’ in which new copies accumulate without bound nor equilibrium. We discuss a few empirical examples and interpret them in the light of our models. Generally, large gene families appear too over-dispersed to fit the single template model suggesting a dynamic, and potentially accelerating, duplication process.<p></p>

Funding

German Research Foundation (DFG) in the framework of SPP-1590 and SPP-1819

History

Author affiliation

College of Life Sciences Genetics, Genome Biology & Cancer Sciences

Version

  • VoR (Version of Record)

Published in

Theoretical Population Biology

Volume

164

Pagination

12 - 22

Publisher

Elsevier BV

issn

0040-5809

eissn

1096-0325

Copyright date

2025

Available date

2025-07-11

Spatial coverage

United States

Language

en

Deposited by

Mr Fabian Freund

Deposit date

2025-06-05

Data Access Statement

Simulation data are available at https://github.com/y-zheng/Runaway-Duplication-Simulations/. R-code used for numerical analyses is available at https://github.com/fabfreund/genedup. Experimental data from D. rerio and human are available in the cited references

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