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Hybridization capture of larch (Larix Mill.) chloroplast genomes from sedimentary ancient DNA reveals past changes of Siberian forest

  • Siberian larch (Larix Mill.) forests dominate vast areas of northern Russia and contribute important ecosystem services to the world. It is important to understand the past dynamics of larches in order to predict their likely response to a changing climate in the future. Sedimentary ancient DNA extracted from lake sediment cores can serve as archives to study past vegetation. However, the traditional method of studying sedimentary ancient DNA-metabarcoding-focuses on small fragments, which cannot resolve Larix to species level nor allow a detailed study of population dynamics. Here, we use shotgun sequencing and hybridization capture with long-range PCR-generated baits covering the complete Larix chloroplast genome to study Larix populations from a sediment core reaching back to 6700 years from the Taymyr region in northern Siberia. In comparison with shotgun sequencing, hybridization capture results in an increase in taxonomically classified reads by several orders of magnitude and the recovery of complete chloroplast genomes ofSiberian larch (Larix Mill.) forests dominate vast areas of northern Russia and contribute important ecosystem services to the world. It is important to understand the past dynamics of larches in order to predict their likely response to a changing climate in the future. Sedimentary ancient DNA extracted from lake sediment cores can serve as archives to study past vegetation. However, the traditional method of studying sedimentary ancient DNA-metabarcoding-focuses on small fragments, which cannot resolve Larix to species level nor allow a detailed study of population dynamics. Here, we use shotgun sequencing and hybridization capture with long-range PCR-generated baits covering the complete Larix chloroplast genome to study Larix populations from a sediment core reaching back to 6700 years from the Taymyr region in northern Siberia. In comparison with shotgun sequencing, hybridization capture results in an increase in taxonomically classified reads by several orders of magnitude and the recovery of complete chloroplast genomes of Larix. Variation in the chloroplast reads corroborates an invasion of Larix gmelinii into the range of Larix sibirica before 6700 years ago. Since then, both species have been present at the site, although larch populations have decreased with only a few trees remaining in what was once a forested area. This study demonstrates for the first time that hybridization capture applied directly to ancient DNA of plants extracted from lake sediments can provide genome-scale information and is a viable tool for studying past genomic changes in populations of single species, irrespective of a preservation as macrofossil.zeige mehrzeige weniger

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Verfasserangaben:Luise SchulteORCiDGND, Nadine BernhardtORCiD, Kathleen Rosemarie Stoof-LeichsenringORCiDGND, Heike Hildegard ZimmermannORCiDGND, Luidmila Agafyevna PestryakovaORCiD, Laura S. EppORCiD, Ulrike HerzschuhORCiDGND
DOI:https://doi.org/10.1111/1755-0998.13311
ISSN:1755-098X
ISSN:1755-0998
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/33319428
Titel des übergeordneten Werks (Englisch):Molecular ecology resources
Verlag:Wiley
Verlagsort:Hoboken
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:15.12.2020
Erscheinungsjahr:2020
Datum der Freischaltung:27.03.2023
Freies Schlagwort / Tag:Larix; chloroplast genome; hybridization capture; sediment core; sedimentary ancient DNA; target enrichment
Band:21
Ausgabe:3
Seitenanzahl:15
Erste Seite:801
Letzte Seite:815
Fördernde Institution:European Research CouncilEuropean Research Council (ERC)European Commission [772852]; German Research FoundationGerman Research Foundation (DFG) [EP98/2-1]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Peer Review:Referiert
Publikationsweg:Open Access / Hybrid Open-Access
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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