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What can we learn about the distribution of fitness effects of new mutations from DNA sequence data?
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posted on 2023-06-07, 23:20 authored by Peter D Keightley, Adam Eyre-WalkerAdam Eyre-WalkerWe investigate several questions concerning the inference of the distribution of fitness effects (DFE) of new mutations from the distribution of nucleotide frequencies in a population sample. If a fixed sequencing effort is available, we find that the optimum strategy is to sequence a modest number of alleles (approx. 10). If full genome information is available, the accuracy of parameter estimates increases as the number of alleles sequenced increases, but with diminishing returns. It is unlikely that the DFE for single genes can be reliably estimated in organisms such as humans and Drosophila, unless genes are very large and we sequence hundreds or perhaps thousands of alleles. We consider models involving several discrete classes of mutations in which the selection strength and density apportioned to each class can vary. Models with three classes fit almost as well as four class models unless many hundreds of alleles are sequenced. Large numbers of alleles need to be sequenced to accurately estimate the distribution's mean and variance. Estimating complex DFEs may therefore be difficult. Finally, we examine models involving slightly advantageous mutations. We show that the distribution of the absolute strength of selection is well estimated if mutations are assumed to be unconditionally deleterious.
History
Publication status
- Published
Journal
Philosophical Transactions B: Biological SciencesISSN
0962-8436Publisher
Royal Society, TheExternal DOI
Volume
365Page range
1187-1193Pages
7.0Department affiliated with
- Evolution, Behaviour and Environment Publications
Notes
Issue No. 1544Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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