Complex genetic patterns in human arise from a simple range-expansion model over continental landmasses
| Autor: | Samuel Neuenschwander, Ricardo Kanitz, Elsa G. Guillot, Jérôme Goudet, Sylvain Antoniazza |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine Evolutionary Genetics Range (biology) Population genetics lcsh:Medicine 01 natural sciences Geographical Locations Mathematical and Statistical Techniques lcsh:Science Simple (philosophy) Principal Component Analysis education.field_of_study Multidisciplinary Geography Simulation and Modeling Europe Phylogeography Biogeography Human evolution Physical Sciences Approximate Bayesian computation Statistics (Mathematics) Research Article Population Biology Research and Analysis Methods 010603 evolutionary biology 03 medical and health sciences Genetics Humans Statistical Methods General Biochemistry Genetics and Molecular Biology General Agricultural and Biological Sciences General Medicine education Demography Isolation by distance Evolutionary Biology Genetic diversity Models Genetic Population Biology Human evolutionary genetics Null model lcsh:R Ecology and Environmental Sciences Biology and Life Sciences Human Genetics 030104 developmental biology Genetics Population Evolutionary biology Multivariate Analysis People and Places Africa Earth Sciences lcsh:Q Population Genetics Mathematics |
| Zdroj: | PLoS One, vol. 13, no. 2, pp. e0192460 PLoS ONE PLoS ONE, Vol 13, Iss 2, p e0192460 (2018) |
| Popis: | Although it is generally accepted that geography is a major factor shaping human genetic differentiation, it is still disputed how much of this differentiation is a result of a simple process of isolation-by-distance, and if there are factors generating distinct clusters of genetic similarity. We address this question using a geographically explicit simulation framework coupled with an Approximate Bayesian Computation approach. Based on six simple summary statistics only, we estimated the most probable demographic parameters that shaped modern human evolution under an isolation by distance scenario, and found these were the following: an initial population in East Africa spread and grew from 4000 individuals to 5.7 million in about 132 000 years. Subsequent simulations with these estimates followed by cluster analyses produced results nearly identical to those obtained in real data. Thus, a simple diffusion model from East Africa explains a large portion of the genetic diversity patterns observed in modern humans. We argue that a model of isolation by distance along the continental landmasses might be the relevant null model to use when investigating selective effects in humans and probably many other species. |
| Databáze: | OpenAIRE |
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