Cargando…

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 (...

Descripción completa

Detalles Bibliográficos
Autores principales: Lewanski, Alexander L., Grundler, Michael C., Bradburd, Gideon S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614969/
https://www.ncbi.nlm.nih.gov/pubmed/37904740
_version_ 1785129127937835008
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
work_keys_str_mv AT lewanskialexanderl theeraofthearganempiricistsguidetoancestralrecombinationgraphs
AT grundlermichaelc theeraofthearganempiricistsguidetoancestralrecombinationgraphs
AT bradburdgideons theeraofthearganempiricistsguidetoancestralrecombinationgraphs
AT lewanskialexanderl eraofthearganempiricistsguidetoancestralrecombinationgraphs
AT grundlermichaelc eraofthearganempiricistsguidetoancestralrecombinationgraphs
AT bradburdgideons eraofthearganempiricistsguidetoancestralrecombinationgraphs