Ancient population genomics and the study of evolution

Recently, the study of ancient DNA (aDNA) has been greatly enhanced by the development of second-generation DNA sequencing technologies and targeted enrichment strategies. These developments have allowed the recovery of several complete ancient genomes, a result that would have been considered virtu...

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Published in:Philosophical Transactions of the Royal Society B: Biological Sciences
Main Authors: Parks, M, Subramanian, Sankar, Baroni, C, Salvatore, M C, Zhang, G, Millar, C D, Lambert, D M
Format: Article in Journal/Newspaper
Language:English
Published: Royal Society Publishing 2015
Subjects:
Online Access:https://doi.org/10.1098/rstb.2013.0381
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spelling ftunivscoast:usc:21814 2023-05-15T13:49:06+02:00 Ancient population genomics and the study of evolution Parks, M Subramanian, Sankar Baroni, C Salvatore, M C Zhang, G Millar, C D Lambert, D M 2015 https://doi.org/10.1098/rstb.2013.0381 eng eng Royal Society Publishing usc:21814 URN:ISSN: 0962-8436 FoR 06 (Biological Sciences) FoR 11 (Medical and Health Sciences) Adélie penguin ancient DNA evolutionary rates population genomics Journal Article 2015 ftunivscoast https://doi.org/10.1098/rstb.2013.0381 2020-03-23T23:26:01Z Recently, the study of ancient DNA (aDNA) has been greatly enhanced by the development of second-generation DNA sequencing technologies and targeted enrichment strategies. These developments have allowed the recovery of several complete ancient genomes, a result that would have been considered virtually impossible only a decade ago. Prior to these developments, aDNA research was largely focused on the recovery of short DNA sequences and their use in the study of phylogenetic relationships, molecular rates, species identification and population structure. However, it is now possible to sequence a large number of modern and ancient complete genomes from a single species and thereby study the genomic patterns of evolutionary change over time. Such a study would herald the beginnings of ancient population genomics and its use in the study of evolution. Species that are amenable to such large-scale studies warrant increased research effort. We report here progress on a population genomic study of the Adélie penguin (Pygoscelis adeliae). This species is ideally suited to ancient population genomic research because both modern and ancient samples are abundant in the permafrost conditions of Antarctica. This species will enable us to directly address many of the fundamental questions in ecology and evolution. © 2014 The Author(s) Published by the Royal Society. All rights reserved. Article in Journal/Newspaper Antarc* Antarctica permafrost Pygoscelis adeliae University of the Sunshine Coast, Queensland, Australia: COAST Research Database Philosophical Transactions of the Royal Society B: Biological Sciences 370 1660 20130381
institution Open Polar
collection University of the Sunshine Coast, Queensland, Australia: COAST Research Database
op_collection_id ftunivscoast
language English
topic FoR 06 (Biological Sciences)
FoR 11 (Medical and Health Sciences)
Adélie penguin
ancient DNA
evolutionary rates
population genomics
spellingShingle FoR 06 (Biological Sciences)
FoR 11 (Medical and Health Sciences)
Adélie penguin
ancient DNA
evolutionary rates
population genomics
Parks, M
Subramanian, Sankar
Baroni, C
Salvatore, M C
Zhang, G
Millar, C D
Lambert, D M
Ancient population genomics and the study of evolution
topic_facet FoR 06 (Biological Sciences)
FoR 11 (Medical and Health Sciences)
Adélie penguin
ancient DNA
evolutionary rates
population genomics
description Recently, the study of ancient DNA (aDNA) has been greatly enhanced by the development of second-generation DNA sequencing technologies and targeted enrichment strategies. These developments have allowed the recovery of several complete ancient genomes, a result that would have been considered virtually impossible only a decade ago. Prior to these developments, aDNA research was largely focused on the recovery of short DNA sequences and their use in the study of phylogenetic relationships, molecular rates, species identification and population structure. However, it is now possible to sequence a large number of modern and ancient complete genomes from a single species and thereby study the genomic patterns of evolutionary change over time. Such a study would herald the beginnings of ancient population genomics and its use in the study of evolution. Species that are amenable to such large-scale studies warrant increased research effort. We report here progress on a population genomic study of the Adélie penguin (Pygoscelis adeliae). This species is ideally suited to ancient population genomic research because both modern and ancient samples are abundant in the permafrost conditions of Antarctica. This species will enable us to directly address many of the fundamental questions in ecology and evolution. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
format Article in Journal/Newspaper
author Parks, M
Subramanian, Sankar
Baroni, C
Salvatore, M C
Zhang, G
Millar, C D
Lambert, D M
author_facet Parks, M
Subramanian, Sankar
Baroni, C
Salvatore, M C
Zhang, G
Millar, C D
Lambert, D M
author_sort Parks, M
title Ancient population genomics and the study of evolution
title_short Ancient population genomics and the study of evolution
title_full Ancient population genomics and the study of evolution
title_fullStr Ancient population genomics and the study of evolution
title_full_unstemmed Ancient population genomics and the study of evolution
title_sort ancient population genomics and the study of evolution
publisher Royal Society Publishing
publishDate 2015
url https://doi.org/10.1098/rstb.2013.0381
genre Antarc*
Antarctica
permafrost
Pygoscelis adeliae
genre_facet Antarc*
Antarctica
permafrost
Pygoscelis adeliae
op_relation usc:21814
URN:ISSN: 0962-8436
op_doi https://doi.org/10.1098/rstb.2013.0381
container_title Philosophical Transactions of the Royal Society B: Biological Sciences
container_volume 370
container_issue 1660
container_start_page 20130381
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