Correcting for Replicated Genotypes May Introduce More Problems Than it Solves
| Authors | |
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| Publication date | 04-2025 |
| Journal | Molecular Ecology Resources |
| Article number | e14041 |
| Volume | Issue number | 25 | 3 |
| Number of pages | 12 |
| Organisations |
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| Abstract |
Across the tree of life, many organisms are able to reproduce clonally,
via vegetative spread, budding or parthenogenesis. In population genetic
analyses of clonally reproducing organisms, it is common practice to
retain only a single representative per multilocus genotype. Though this
practice of clone correction is widespread, the theoretical
justification behind it has been very little studied. Here, I use
individual-based simulations to study the effect of clone correction on
the estimation of the genetic summary statistics HO, HS, FIS, FST, F′′ST and Dest.
The simulations follow the standard finite island model, consisting of a
set of populations connected by gene flow, but with a variable rate of
sexual versus asexual reproduction. The results of the simulations show
that by itself, the inclusion of replicated genotypes does not lead to a
deviation in the values of the summary statistics, except when the rate
of sexual reproduction is less than about one in thousand. However,
clone correction can introduce a strong deviation in the values of most
of the statistics, when compared to a scenario of full sexual
reproduction. For HS and FIS, this deviation can be informative about the process of asexual reproduction, but for FST, F′′ST and Dest,
clone correction can lead to incorrect conclusions. I therefore argue
that clone correction is not strictly necessary, but can in some cases
be insightful. However, when clone correction is applied, it is
imperative that results for both the corrected and uncorrected data are
presented.
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| Document type | Article |
| Note | With supplementary material. |
| Language | English |
| Published at | https://doi.org/10.1111/1755-0998.14041 |
| Other links | https://www.scopus.com/pages/publications/85207927517 |
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