Evolutionary patterns and processes: lessons from ancient DNA

Michela Leonardi; Pablo Librado Sanz; Clio Der Sarkissian; Mikkel Schubert; Ahmed H. Alfarhan; Saleh A. Alquraishi; Khaled A. S. Al-Rasheid; Cristina Gamba; Eske Willerslev; Ludovic Antoine Alexandre Orlando

doi:10.1093/sysbio/syw059

Evolutionary patterns and processes: lessons from ancient DNA

Michela Leonardi, Pablo Librado Sanz, Clio Der Sarkissian, Mikkel Schubert, Ahmed H. Alfarhan, Saleh A. Alquraishi, Khaled A. S. Al-Rasheid, Cristina Gamba, Eske Willerslev, Ludovic Antoine Alexandre Orlando

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

70 Citationer (Scopus)

251 Downloads (Pure)

Abstract

Ever since its emergence in 1984, the field of ancient DNA has struggled to overcome the challenges related to the decay of DNA molecules in the fossil record. With the recent development of high-throughput DNA sequencing technologies and molecular techniques tailored to ultra-damaged templates, it has now come of age, merging together approaches in phylogenomics, population genomics, epigenomics, and metagenomics. Leveraging on complete temporal sample series, ancient DNA provides direct access to the most important dimension in evolution-time, allowing a wealth of fundamental evolutionary processes to be addressed at unprecedented resolution. This review taps into the most recent findings in ancient DNA research to present analyses of ancient genomic and metagenomic data. [Ancient DNA; metagenomics; palaeogenomics; population genomics; temporal sampling.].

Originalsprog	Engelsk
Artikelnummer	syw059
Tidsskrift	Systematic Biology
Vol/bind	66
Udgave nummer	1
Sider (fra-til)	e1-e29
Antal sider	29
ISSN	1063-5157
DOI	https://doi.org/10.1093/sysbio/syw059
Status	Udgivet - 2017

Adgang til dokumentet

10.1093/sysbio/syw059Licens: CC BY-NC

Leonardi_2017_Evolutionary_patternsForlagets udgivne version, 1,08 MBLicens: CC BY-NC

Citationsformater

Evolutionary patterns and processes : lessons from ancient DNA. / Leonardi, Michela; Sanz, Pablo Librado; Der Sarkissian, Clio; Schubert, Mikkel; Alfarhan, Ahmed H.; Alquraishi, Saleh A.; Al-Rasheid, Khaled A. S.; Gamba, Cristina; Willerslev, Eske; Orlando, Ludovic Antoine Alexandre.

I: Systematic Biology, Bind 66, Nr. 1, syw059, 2017, s. e1-e29.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

@article{5ebfd4716acc4bed8030783359e5e6e7,

title = "Evolutionary patterns and processes: lessons from ancient DNA",

abstract = "Ever since its emergence in 1984, the field of ancient DNA has struggled to overcome the challenges related to the decay of DNA molecules in the fossil record. With the recent development of high-throughput DNA sequencing technologies and molecular techniques tailored to ultra-damaged templates, it has now come of age, merging together approaches in phylogenomics, population genomics, epigenomics, and metagenomics. Leveraging on complete temporal sample series, ancient DNA provides direct access to the most important dimension in evolution-time, allowing a wealth of fundamental evolutionary processes to be addressed at unprecedented resolution. This review taps into the most recent findings in ancient DNA research to present analyses of ancient genomic and metagenomic data. [Ancient DNA; metagenomics; palaeogenomics; population genomics; temporal sampling.].",

author = "Michela Leonardi and Sanz, {Pablo Librado} and {Der Sarkissian}, Clio and Mikkel Schubert and Alfarhan, {Ahmed H.} and Alquraishi, {Saleh A.} and Al-Rasheid, {Khaled A. S.} and Cristina Gamba and Eske Willerslev and Orlando, {Ludovic Antoine Alexandre}",

note = "{\textcopyright} The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: [email protected].",

year = "2017",

doi = "10.1093/sysbio/syw059",

language = "English",

volume = "66",

pages = "e1--e29",

journal = "Systematic Biology",

issn = "1063-5157",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Evolutionary patterns and processes

T2 - lessons from ancient DNA

AU - Leonardi, Michela

AU - Sanz, Pablo Librado

AU - Der Sarkissian, Clio

AU - Schubert, Mikkel

AU - Alfarhan, Ahmed H.

AU - Alquraishi, Saleh A.

AU - Al-Rasheid, Khaled A. S.

AU - Gamba, Cristina

AU - Willerslev, Eske

AU - Orlando, Ludovic Antoine Alexandre

PY - 2017

Y1 - 2017

N2 - Ever since its emergence in 1984, the field of ancient DNA has struggled to overcome the challenges related to the decay of DNA molecules in the fossil record. With the recent development of high-throughput DNA sequencing technologies and molecular techniques tailored to ultra-damaged templates, it has now come of age, merging together approaches in phylogenomics, population genomics, epigenomics, and metagenomics. Leveraging on complete temporal sample series, ancient DNA provides direct access to the most important dimension in evolution-time, allowing a wealth of fundamental evolutionary processes to be addressed at unprecedented resolution. This review taps into the most recent findings in ancient DNA research to present analyses of ancient genomic and metagenomic data. [Ancient DNA; metagenomics; palaeogenomics; population genomics; temporal sampling.].

AB - Ever since its emergence in 1984, the field of ancient DNA has struggled to overcome the challenges related to the decay of DNA molecules in the fossil record. With the recent development of high-throughput DNA sequencing technologies and molecular techniques tailored to ultra-damaged templates, it has now come of age, merging together approaches in phylogenomics, population genomics, epigenomics, and metagenomics. Leveraging on complete temporal sample series, ancient DNA provides direct access to the most important dimension in evolution-time, allowing a wealth of fundamental evolutionary processes to be addressed at unprecedented resolution. This review taps into the most recent findings in ancient DNA research to present analyses of ancient genomic and metagenomic data. [Ancient DNA; metagenomics; palaeogenomics; population genomics; temporal sampling.].

U2 - 10.1093/sysbio/syw059

DO - 10.1093/sysbio/syw059

M3 - Journal article

C2 - 28173586

VL - 66

SP - e1-e29

JO - Systematic Biology

JF - Systematic Biology

SN - 1063-5157

IS - 1

M1 - syw059

ER -