A new and almost perfectly accurate approximation of the eigenvalue effective population size of a dioecious population: comparisons with other estimates and detailed proofsuse asterix (*) to get italics

Thierry de Meeûs and Camille NoûsPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2023

<p>The effective population size is an important concept in population genetics. It corresponds to a measure of the speed at which genetic drift affects a given population. Moreover, this is most of the time the only kind of population size that empirical population genetics can give access to. Dioecious populations are expected to display excesses of heterozygosity as compared to monoecious panmictic populations, as measured by Wright's FIS. It can be shown that these excesses are negatively correlated with the population size. This is why FIS can be used to estimate the eigenvalue effective population size of dioecious populations. In this paper, we propose a new approximation that provides a very accurate estimate of the eigenvalue effective population size of a dioecious population as a function of the real population size. We then explore the accuracy of different FIS-based methods using the leading eigenvalue of transition matrices or coalescence. It appears that the eigenvalue-based method provides more accurate results in very small populations, probably due to approximations made by the coalescence approach that are less valid in such situations. We also discuss the applicability of this method in the field.</p>

https://doi.org/10.5281/zenodo.7927968You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

https://doi.org/10.5281/zenodo.7927968You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://

Effective population size; Dioecy; Heterozygote excess; F-statistics

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Bioinformatics & Computational Biology, Evolutionary Ecology, Evolutionary Theory, Population Genetics / Genomics, Reproduction and Sex

Robin Waples robin.waples@noaa.gov, Jérome Goudet <jerome.goudet@unil.ch>, Charles Criscione <ccriscione@bio.tamu.edu>, Franck PRUGNOLLE <franck.prugnolle@ird.fr>, Jilian Wang jinliang.wang@ioz.ac.uk, Michael Whitlock whitlock@zoology.ubc.ca, Solenn Stoeckel <solenn.stoeckel@inrae.fr>

e.g. John Doe john@doe.com

No need for them to be recommenders of PCIEvolBiol. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2023-02-22 16:53:49

Charles Baer