Recombination, selection, and the evolution of tandem gene arrays

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Title:Main Title: Recombination, selection, and the evolution of tandem gene arrays
Description:Abstract: Multigene families—immunity genes or sensory receptors, for instance—are often subject to diversifying selection. Allelic diversity may be favored not only through balancing or frequency-dependent selection at individual loci but also by associating different alleles in multicopy gene families. Using a combination of analytical calculations and simulations, we explored a population genetic model of epistatic selection and unequal recombination, where a trade-off exists between the benefit of allelic diversity and the cost of copy abundance. Starting from the neutral case, where we showed that gene copy number is Gamma distributed at equilibrium, we derived also the mean and shape of the limiting distribution under selection. Considering a more general model, which includes variable population size and population substructure, we explored by simulations mean fitness and some summary statistics of the copy number distribution. We determined the relative effects of selection, recombination, and demographic parameters in maintaining allelic diversity and shaping the mean fitness of a population. One way to control the variance of copy number is by lowering the rate of unequal recombination. Indeed, when encoding recombination by a rate modifier locus, we observe exactly this prediction. Finally, we analyzed the empirical copy number distribution of 3 genes in human and estimated recombination and selection parameters of our model.
Identifier:https://doi.org/10.1093/genetics/iyac052 (DOI)
Citation Advice:Moritz Otto, Yichen Zheng, Thomas Wiehe: Recombination, selection, and the evolution of tandem gene arrays. In: Genetics, Volume 221, Issue 3, July 2022. DOI: https://doi.org/10.1093/genetics/iyac052
Responsible Party
Creators:Moritz Otto (Author), Yichen Zheng (Author), Thomas Wiehe (Author)
Publisher:Genetics
Publication Year:2022
Topic
CRC1211 Topic:Biology
Related Subproject:B6
Subject:Keyword: Molecular Biology
File Details
Filename:iyac052.pdf
Data Type:Text - Text
File Size:2.8 MB
Date:Issued: 22.07.2022
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Free
General Access and Use Conditions:According to the CRC1211DB data policy agreement.
Access Limitations:According to the CRC1211DB data policy agreement.
Licence:[CRC1211DB] Data policy agreement
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Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Genetics
Issue:3
Volume:221
Number of Pages:18 (1 - 18)
Metadata Details
Metadata Creator:Moritz Otto
Metadata Created:23.02.2023
Metadata Last Updated:23.02.2023
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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