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The era of the ARG: an empiricist's guide to ancestral recombination graphs
In the presence of recombination, the evolutionary relationships between a set of sampled genomes cannot be described by a single genealogical tree. Instead, the genomes are related by a complex, interwoven collection of genealogies formalized in a structure called an ancestral recombination graph (...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614969/ https://www.ncbi.nlm.nih.gov/pubmed/37904740 |
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author | Lewanski, Alexander L. Grundler, Michael C. Bradburd, Gideon S. |
author_facet | Lewanski, Alexander L. Grundler, Michael C. Bradburd, Gideon S. |
author_sort | Lewanski, Alexander L. |
collection | PubMed |
description | In the presence of recombination, the evolutionary relationships between a set of sampled genomes cannot be described by a single genealogical tree. Instead, the genomes are related by a complex, interwoven collection of genealogies formalized in a structure called an ancestral recombination graph (ARG). An ARG extensively encodes the ancestry of the genome(s) and thus is replete with valuable information for addressing diverse questions in evolutionary biology. Despite its potential utility, technological and methodological limitations, along with a lack of approachable literature, have severely restricted awareness and application of ARGs in empirical evolution research. Excitingly, recent progress in ARG reconstruction and simulation have made ARG-based approaches feasible for many questions and systems. In this review, we provide an accessible introduction and exploration of ARGs, survey recent methodological breakthroughs, and describe the potential for ARGs to further existing goals and open avenues of inquiry that were previously inaccessible in evolutionary genomics. Through this discussion, we aim to more widely disseminate the promise of ARGs in evolutionary genomics and encourage the broader development and adoption of ARG-based inference. |
format | Online Article Text |
id | pubmed-10614969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-106149692023-10-31 The era of the ARG: an empiricist's guide to ancestral recombination graphs Lewanski, Alexander L. Grundler, Michael C. Bradburd, Gideon S. ArXiv Article In the presence of recombination, the evolutionary relationships between a set of sampled genomes cannot be described by a single genealogical tree. Instead, the genomes are related by a complex, interwoven collection of genealogies formalized in a structure called an ancestral recombination graph (ARG). An ARG extensively encodes the ancestry of the genome(s) and thus is replete with valuable information for addressing diverse questions in evolutionary biology. Despite its potential utility, technological and methodological limitations, along with a lack of approachable literature, have severely restricted awareness and application of ARGs in empirical evolution research. Excitingly, recent progress in ARG reconstruction and simulation have made ARG-based approaches feasible for many questions and systems. In this review, we provide an accessible introduction and exploration of ARGs, survey recent methodological breakthroughs, and describe the potential for ARGs to further existing goals and open avenues of inquiry that were previously inaccessible in evolutionary genomics. Through this discussion, we aim to more widely disseminate the promise of ARGs in evolutionary genomics and encourage the broader development and adoption of ARG-based inference. Cornell University 2023-10-18 /pmc/articles/PMC10614969/ /pubmed/37904740 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Lewanski, Alexander L. Grundler, Michael C. Bradburd, Gideon S. The era of the ARG: an empiricist's guide to ancestral recombination graphs |
title | The era of the ARG: an empiricist's guide to ancestral recombination
graphs |
title_full | The era of the ARG: an empiricist's guide to ancestral recombination
graphs |
title_fullStr | The era of the ARG: an empiricist's guide to ancestral recombination
graphs |
title_full_unstemmed | The era of the ARG: an empiricist's guide to ancestral recombination
graphs |
title_short | The era of the ARG: an empiricist's guide to ancestral recombination
graphs |
title_sort | era of the arg: an empiricist's guide to ancestral recombination
graphs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614969/ https://www.ncbi.nlm.nih.gov/pubmed/37904740 |
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