Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems

Abstract 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,...

Full description

Bibliographic Details
Published in:Environmental DNA
Main Authors: Peter Andreas Seeber, Barbara vonHippel, Hårvard Kauserud, Ulrike Löber, Kathleen Rosmarie Stoof‐Leichsenring, Ulrike Herzschuh, Laura S. Epp
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
ITS
Online Access:https://doi.org/10.1002/edn3.315
https://doaj.org/article/553a78bc3c1d45bb94b257b8e1adf992
id ftdoajarticles:oai:doaj.org/article:553a78bc3c1d45bb94b257b8e1adf992
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:553a78bc3c1d45bb94b257b8e1adf992 2023-05-15T15:12:45+02:00 Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems Peter Andreas Seeber Barbara vonHippel Hårvard Kauserud Ulrike Löber Kathleen Rosmarie Stoof‐Leichsenring Ulrike Herzschuh Laura S. Epp 2022-09-01T00:00:00Z https://doi.org/10.1002/edn3.315 https://doaj.org/article/553a78bc3c1d45bb94b257b8e1adf992 EN eng Wiley https://doi.org/10.1002/edn3.315 https://doaj.org/toc/2637-4943 2637-4943 doi:10.1002/edn3.315 https://doaj.org/article/553a78bc3c1d45bb94b257b8e1adf992 Environmental DNA, Vol 4, Iss 5, Pp 1150-1163 (2022) fungi in silico PCR ITS lake sediment metabarcoding sedimentary ancient DNA Environmental sciences GE1-350 Microbial ecology QR100-130 article 2022 ftdoajarticles https://doi.org/10.1002/edn3.315 2022-12-30T21:05:32Z Abstract 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. Article in Journal/Newspaper Arctic Siberia Directory of Open Access Journals: DOAJ Articles Arctic Boreal Lake ENVELOPE(-127.670,-127.670,58.802,58.802) Environmental DNA 4 5 1150 1163
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic fungi
in silico PCR
ITS
lake sediment
metabarcoding
sedimentary ancient DNA
Environmental sciences
GE1-350
Microbial ecology
QR100-130
spellingShingle fungi
in silico PCR
ITS
lake sediment
metabarcoding
sedimentary ancient DNA
Environmental sciences
GE1-350
Microbial ecology
QR100-130
Peter Andreas Seeber
Barbara vonHippel
Hårvard Kauserud
Ulrike Löber
Kathleen Rosmarie Stoof‐Leichsenring
Ulrike Herzschuh
Laura S. Epp
Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
topic_facet fungi
in silico PCR
ITS
lake sediment
metabarcoding
sedimentary ancient DNA
Environmental sciences
GE1-350
Microbial ecology
QR100-130
description Abstract 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.
format Article in Journal/Newspaper
author Peter Andreas Seeber
Barbara vonHippel
Hårvard Kauserud
Ulrike Löber
Kathleen Rosmarie Stoof‐Leichsenring
Ulrike Herzschuh
Laura S. Epp
author_facet Peter Andreas Seeber
Barbara vonHippel
Hårvard Kauserud
Ulrike Löber
Kathleen Rosmarie Stoof‐Leichsenring
Ulrike Herzschuh
Laura S. Epp
author_sort Peter Andreas Seeber
title Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
title_short Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
title_full Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
title_fullStr Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
title_full_unstemmed Evaluation of lake sedimentary ancient DNA metabarcoding to assess fungal biodiversity in Arctic paleoecosystems
title_sort evaluation of lake sedimentary ancient dna metabarcoding to assess fungal biodiversity in arctic paleoecosystems
publisher Wiley
publishDate 2022
url https://doi.org/10.1002/edn3.315
https://doaj.org/article/553a78bc3c1d45bb94b257b8e1adf992
long_lat ENVELOPE(-127.670,-127.670,58.802,58.802)
geographic Arctic
Boreal Lake
geographic_facet Arctic
Boreal Lake
genre Arctic
Siberia
genre_facet Arctic
Siberia
op_source Environmental DNA, Vol 4, Iss 5, Pp 1150-1163 (2022)
op_relation https://doi.org/10.1002/edn3.315
https://doaj.org/toc/2637-4943
2637-4943
doi:10.1002/edn3.315
https://doaj.org/article/553a78bc3c1d45bb94b257b8e1adf992
op_doi https://doi.org/10.1002/edn3.315
container_title Environmental DNA
container_volume 4
container_issue 5
container_start_page 1150
op_container_end_page 1163
_version_ 1766343387124858880