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Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133948/ https://www.ncbi.nlm.nih.gov/pubmed/25132795 http://dx.doi.org/10.2174/1389202915666140506223639 |
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author | Benguigui, Macarena Arenas, Miguel |
author_facet | Benguigui, Macarena Arenas, Miguel |
author_sort | Benguigui, Macarena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4133948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-41339482015-02-01 Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications Benguigui, Macarena Arenas, Miguel Curr Genomics Article 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. Bentham Science Publishers 2014-08 2014-08 /pmc/articles/PMC4133948/ /pubmed/25132795 http://dx.doi.org/10.2174/1389202915666140506223639 Text en ©2014 Bentham Science Publishers http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Benguigui, Macarena Arenas, Miguel Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title | Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title_full | Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title_fullStr | Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title_full_unstemmed | Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title_short | Spatial and Temporal Simulation of Human Evolution. Methods, Frameworks and Applications |
title_sort | spatial and temporal simulation of human evolution. methods, frameworks and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133948/ https://www.ncbi.nlm.nih.gov/pubmed/25132795 http://dx.doi.org/10.2174/1389202915666140506223639 |
work_keys_str_mv | AT benguiguimacarena spatialandtemporalsimulationofhumanevolutionmethodsframeworksandapplications AT arenasmiguel spatialandtemporalsimulationofhumanevolutionmethodsframeworksandapplications |