Inference of past demography, dormancy and self-fertilization rates from whole genome sequence data


Autoři: Thibaut Paul Patrick Sellinger aff001;  Diala Abu Awad aff001;  Markus Moest aff002;  Aurélien Tellier aff001
Působiště autorů: Department of Population Genetics, Technische Universit at M unchen, Freising, Germany aff001;  Department of Population Genetics, Technische Universitaet Muenchen, Freising, Germany aff001;  Department of Ecology, University of Innsbruck, Innsbruck, Austria aff002
Vyšlo v časopise: Inference of past demography, dormancy and self-fertilization rates from whole genome sequence data. PLoS Genet 16(4): e32767. doi:10.1371/journal.pgen.1008698
Kategorie: Research Article
doi: 10.1371/journal.pgen.1008698

Souhrn

Several methods based on the Sequential Markovian coalescence (SMC) have been developed that make use of genome sequence data to uncover population demographic history, which is of interest in its own right and is a key requirement to generate a null model for selection tests. While these methods can be applied to all possible kind of species, the underlying assumptions are sexual reproduction in each generation and non-overlapping generations. However, in many plants, invertebrates, fungi and other taxa, those assumptions are often violated due to different ecological and life history traits, such as self-fertilization or long term dormant structures (seed or egg-banking). We develop a novel SMC-based method to infer 1) the rates/parameters of dormancy and of self-fertilization, and 2) the populations’ past demographic history. Using simulated data sets, we demonstrate the accuracy of our method for a wide range of demographic scenarios and for sequence lengths from one to 30 Mb using four sampled genomes. Finally, we apply our method to a Swedish and a German population of Arabidopsis thaliana demonstrating a selfing rate of ca. 0.87 and the absence of any detectable seed-bank. In contrast, we show that the water flea Daphnia pulex exhibits a long lived egg-bank of three to 18 generations. In conclusion, we here present a novel method to infer accurate demographies and life-history traits for species with selfing and/or seed/egg-banks. Finally, we provide recommendations for the use of SMC-based methods for non-model organisms, highlighting the importance of the per site and the effective ratios of recombination over mutation.

Klíčová slova:

Arabidopsis thaliana – Daphnia – Invertebrate genomics – Plant genomics – Seed germination – Seeds – Sequence analysis – Sexual reproduction


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