ArticleCurrent genomics2014
Spatial and temporal simulation of human evolution. Methods, frameworks and applications.
Article in Current genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Article
- Evaluating Causes of Current Genetic Gradients of Modern Humans of the Iberian Peninsula.Genome biology and evolution · 2021Article
- How do genes flow? Identifying potential dispersal mode for the semi-aquatic lichen Dermatocarpon luridum using spatial modelling and photobiont markers.BMC ecology · 2020Article
- The Early Peopling of the Philippines based on mtDNA.Scientific reports · 2020Article
- Out of Africa by spontaneous migration waves.PloS one · 2019Article
- Selecting among Alternative Scenarios of Human Evolution by Simulated Genetic Gradients.Genes · 2018Review
- Long-Distance Dispersal Shaped Patterns of Human Genetic Diversity in Eurasia.Molecular biology and evolution · 2016Article
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Authors and funding
2 authors.
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Abstract
Analyses of human evolution are fundamental to understand the current gradients of human diversity. In this concern, genetic samples collected from current populations together with archaeological data are the most important resources to study human evolution. However, they are often insufficient to properly evaluate a variety of evolutionary scenarios, leading to continuous debates and discussions. A commonly applied strategy consists of the use of computer simulations based on, as realistic as possible, evolutionary models, to evaluate alternative evolutionary scenarios through statistical correlations with the real data. Computer simulations can also be applied to estimate evolutionary parameters or to study the role of each parameter on the evolutionary process. Here we review the mainly used methods and evolutionary frameworks to perform realistic spatially explicit computer simulations of human evolution. Although we focus on human evolution, most of the methods and software we describe can also be used to study other species. We also describe the importance of considering spatially explicit models to better mimic human evolutionary scenarios based on a variety of phenomena such as range expansions, range shifts, range contractions, sex-biased dispersal, long-distance dispersal or admixtures of populations. We finally discuss future implementations to improve current spatially explicit simulations and their derived applications in human evolution.
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