Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
Lade...
Datum
2022
Autor:innen
Hippel, Barbara
Kauserud, Hårvard
Löber, Ulrike
Stoof‐Leichsenring, Kathleen Rosmarie
Herzschuh, Ulrike
Herausgeber:innen
ISSN der Zeitschrift
eISSN
item.preview.dc.identifier.isbn
Bibliografische Daten
Verlag
Schriftenreihe
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Environmental DNA ; 4 (2022), 5. - S. 1150-1163. - Wiley. - ISSN 2637-4943. - eISSN 2637-4943
Zusammenfassung
Fungi are crucial organisms in most ecosystems as they exert ecological key functions and are closely associated with land plants. Fungal community changes may, therefore, help reveal biodiversity changes in past ecosystems. Lake sediments contain the DNA of organisms in the catchment area, which allows reconstructing past biodiversity by using metabarcoding of ancient sedimentary DNA. We re-evaluated various commonly used metabarcoding primers, and we developed a novel PCR primer combination for fungal metabarcoding to produce a short amplicon, thus accounting for amplification bias due to the degradation of ancient DNA. In silico PCRs showed higher diversity using this new primer combination, compared with previously established fungal metabarcoding primers. We analyzed data from sediment cores from four artic and one boreal lake in Siberia. These cores had been stored for 2–22 years after coring; we, therefore, examined the degradation effects of ancient DNA and storage time-related bias affecting fungal communities. Amplicon lengths showed considerable variation within and between the major divisions of fungi, for example, amplicons of Basidiomycota were significantly longer than those of Mucoromycota; however, we observed no significant effect of sample age on amplicon length and GC content, suggesting the robustness of our results. We also found no indication of post-coring fungal growth during storage regarding the proportions of common mold taxa, which would otherwise distort conclusions on past fungal communities. Terrestrial soil fungi, including mycorrhizal fungi and saprotrophs, were predominant in all lakes, whereas typical aquatic taxa were only represented to a negligible extent, which supports the use of lake sedimentary ancient DNA for reconstructing terrestrial communities.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
fungi, in silico PCR, ITS, lake sediment, metabarcoding, sedimentary ancient DNA
Konferenz
Rezension
undefined / . - undefined, undefined. - (undefined; undefined)
Zitieren
ISO 690
SEEBER, Peter A., Barbara HIPPEL, Hårvard KAUSERUD, Ulrike LÖBER, Kathleen Rosmarie STOOF‐LEICHSENRING, Ulrike HERZSCHUH, Laura S. EPP, 2022. Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems. In: Environmental DNA. Wiley. 4(5), pp. 1150-1163. ISSN 2637-4943. eISSN 2637-4943. Available under: doi: 10.1002/edn3.315BibTex
@article{Seeber2022-09Evalu-57728, year={2022}, doi={10.1002/edn3.315}, title={Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems}, number={5}, volume={4}, issn={2637-4943}, journal={Environmental DNA}, pages={1150--1163}, author={Seeber, Peter A. and Hippel, Barbara and Kauserud, Hårvard and Löber, Ulrike and Stoof‐Leichsenring, Kathleen Rosmarie and Herzschuh, Ulrike and Epp, Laura S.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/57728"> <dc:creator>Stoof‐Leichsenring, Kathleen Rosmarie</dc:creator> <dc:contributor>Seeber, Peter A.</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57728/1/Seeber_2-94sbc7l7ycn01.pdf"/> <dc:contributor>Herzschuh, Ulrike</dc:contributor> <dc:creator>Seeber, Peter A.</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-06-03T12:54:13Z</dc:date> <dc:creator>Hippel, Barbara</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-06-03T12:54:13Z</dcterms:available> <dc:creator>Herzschuh, Ulrike</dc:creator> <dc:creator>Kauserud, Hårvard</dc:creator> <dc:contributor>Löber, Ulrike</dc:contributor> <dc:contributor>Hippel, Barbara</dc:contributor> <dc:creator>Epp, Laura S.</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57728/1/Seeber_2-94sbc7l7ycn01.pdf"/> <dcterms:title>Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems</dcterms:title> <dc:contributor>Kauserud, Hårvard</dc:contributor> <dc:creator>Löber, Ulrike</dc:creator> <dc:contributor>Stoof‐Leichsenring, Kathleen Rosmarie</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57728"/> <dc:language>eng</dc:language> <dcterms:issued>2022-09</dcterms:issued> <dc:contributor>Epp, Laura S.</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights> <dcterms:abstract xml:lang="eng">Fungi are crucial organisms in most ecosystems as they exert ecological key functions and are closely associated with land plants. Fungal community changes may, therefore, help reveal biodiversity changes in past ecosystems. Lake sediments contain the DNA of organisms in the catchment area, which allows reconstructing past biodiversity by using metabarcoding of ancient sedimentary DNA. We re-evaluated various commonly used metabarcoding primers, and we developed a novel PCR primer combination for fungal metabarcoding to produce a short amplicon, thus accounting for amplification bias due to the degradation of ancient DNA. In silico PCRs showed higher diversity using this new primer combination, compared with previously established fungal metabarcoding primers. We analyzed data from sediment cores from four artic and one boreal lake in Siberia. These cores had been stored for 2–22 years after coring; we, therefore, examined the degradation effects of ancient DNA and storage time-related bias affecting fungal communities. Amplicon lengths showed considerable variation within and between the major divisions of fungi, for example, amplicons of Basidiomycota were significantly longer than those of Mucoromycota; however, we observed no significant effect of sample age on amplicon length and GC content, suggesting the robustness of our results. We also found no indication of post-coring fungal growth during storage regarding the proportions of common mold taxa, which would otherwise distort conclusions on past fungal communities. Terrestrial soil fungi, including mycorrhizal fungi and saprotrophs, were predominant in all lakes, whereas typical aquatic taxa were only represented to a negligible extent, which supports the use of lake sedimentary ancient DNA for reconstructing terrestrial communities.</dcterms:abstract> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/"/> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Unbekannt