Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"

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Thoen, Ella, 2025, "Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"", https://doi.org/10.18710/ZTNNBI, DataverseNO, V1

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Description	Archaeorhizomycetes is a class of globally widespread soil-dwelling fungi, originally proposed to be associated with plant roots, but their ecology and nutritional mode are not clearly defined. To increase the knowledge about Archaeorhizomycetes’ ecology and biogeography, we investigate how they are distributed along major environmental gradients, as well as different soil compartments. The dataset consists of mapping files for raw sequence data deposited to ENA under accession numbers ERR15529369- ERR15529373 for PacBio long-read amplicon sequences of Archaeorhizomycetes (partial 18S, ITS, partial 28S, approx. 2500 bp) and accession numbers ERR15529374- ERR15529378 for raw sequencing files for V4 of the 18S using general eukaryotic primers (TAReuk454FWD1 and TAReukREV3). The dataset also consists of OTU tables for both sequencing runs, metadata and R scripts to analyse the data. (2025-09-05)
Subject	Earth and Environmental Sciences
Keyword	amplicon sequencing, fungal communities, Archaeorhizomycetes
Related Publication	Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate (In review at New phytologist)
License/Data Use Agreement	CC0 1.0

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	00_README.txt Plain Text - 6.9 KB Published Sep 24, 2025 0 Downloads MD5: 982b511b83c968b770b50af5b6d844c4 Read me file including file description and instructions, as well as accesion numbers for the raw sequence data.	Preview "00_README.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	Archies_v.3.fasta_linsi_trimal.fasta_IQTree_MFP.treefile Unknown - 8.5 KB Published Sep 24, 2025 0 Downloads MD5: e56125d61dda9b5de2cf8317f94b6a02 Phylogenetic tree file to compute distance classes in the R script	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap1fwd.fasta Unknown - 3.2 KB Published Sep 24, 2025 0 Downloads MD5: adff9d02052d5b36926fabb0e12e4485 Mapping file for bioinformatics. PacBio data, Plate 1 fwd primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap1rev.fasta Unknown - 3.4 KB Published Sep 24, 2025 0 Downloads MD5: baba414a6be51f8486e091d81c19fdb2 Mapping file for bioinformatics. PacBio data, Plate 1 reverse primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap2fwd.fasta Unknown - 3.2 KB Published Sep 24, 2025 0 Downloads MD5: fa07bec8269d49a158f45fa053625ec0 Mapping file for bioinformatics. PacBio data, Plate 2 fwd primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap2rev.fasta Unknown - 3.4 KB Published Sep 24, 2025 0 Downloads MD5: 2c67b2e9557d946d3be8440381334ca2 Mapping file for bioinformatics. PacBio data, Plate 2 reverse primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap3fwd.fasta Unknown - 3.2 KB Published Sep 24, 2025 0 Downloads MD5: b053e9ca882625ab8e86ae9c075e3173 Mapping file for bioinformatics. PacBio data, Plate 3 fwd primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap3rev.fasta Unknown - 3.4 KB Published Sep 24, 2025 0 Downloads MD5: dcd8598262b8f2654d62aa827605b31f Mapping file for bioinformatics. PacBio data, Plate 3 reverse primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap4fwd.fasta Unknown - 3.2 KB Published Sep 24, 2025 0 Downloads MD5: 3f1aaf13963cc63afb685995c7ae022e Mapping file for bioinformatics. PacBio data, Plate 4 fwd primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX
	LRSmap4rev.fasta Unknown - 3.4 KB Published Sep 24, 2025 0 Downloads MD5: 0c618167af2a7406c7bcef515b8f3f23 Mapping file for bioinformatics. PacBio data, Plate 4 reverse primer and tags	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18710/ZTNNBI
Publication Date	2025-09-24
Title	Replication data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"
Author	Thoen, Ella (University of Oslo) - ORCID: https://orcid.org/0000-0001-6169-0541
Point of Contact	Use email button above to contact. Thoen, Ella (University of Oslo)
Description	Archaeorhizomycetes is a class of globally widespread soil-dwelling fungi, originally proposed to be associated with plant roots, but their ecology and nutritional mode are not clearly defined. To increase the knowledge about Archaeorhizomycetes’ ecology and biogeography, we investigate how they are distributed along major environmental gradients, as well as different soil compartments. The dataset consists of mapping files for raw sequence data deposited to ENA under accession numbers ERR15529369- ERR15529373 for PacBio long-read amplicon sequences of Archaeorhizomycetes (partial 18S, ITS, partial 28S, approx. 2500 bp) and accession numbers ERR15529374- ERR15529378 for raw sequencing files for V4 of the 18S using general eukaryotic primers (TAReuk454FWD1 and TAReukREV3). The dataset also consists of OTU tables for both sequencing runs, metadata and R scripts to analyse the data. (2025-09-05)
Subject	Earth and Environmental Sciences
Keyword	amplicon sequencing fungal communities Archaeorhizomycetes https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?commhttps://www.ncbi.nlm.nih.gov/datasets/taxonomy/1075807/ (NCBI Taxonomy) https://www.ncbi.nlm.nih.gov/taxonomy
Related Publication	Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate (In review at New phytologist)
Producer	University of Oslo (UiO) https://www.uio.no/
Production Date	2025-09-16
Production Location	Norway
Contributor	Researcher : Thoen, Ella Project Leader : Kauserud, Håvard Project Member : Skrede, Inger Project Member : Krabberød, Anders K. Project Member : Rosling, Anna Project Member : Nogerius, Veera T.
Funding Information	Norwegian Biodiversity Information Center: Artsprosjekt 4-20
Distributor	University of Oslo (UiO) https://dataverse.no/dataverse/uio
Distribution Date	2025-09-16
Depositor	Thoen, Ella
Deposit Date	2025-09-16
Time Period	Start Date: 2020-06-01 ; End Date: 2025-09-05
Date of Collection	Start Date: 2020-06-01 ; End Date: 2020-10-17
Data Type	Metadata and mapping files for raw sequence data depostited to ENA.
Related Material	Raw sequence reads available at ENA: Raw PacBio Revio sequences ERR15529369- ERR1552937 Raw V4 18S Illumina sequence libraries under ERR15529374- ERR15529378
Related Dataset	Thoen, Ella, 2025, "Background data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"", https://doi.org/10.18710/NCKZD7, DataverseNO, v1

Geospatial Metadata

Geographic Coverage	Norway Svalbard and Jan Mayen
Geographic Bounding Box	5.91 25.48 78.17 58.09

Life Sciences Metadata

Organism	Other
Other Organism	Archaeorhizomycetes; Uncultured eukaryota
Measurement Type	targeted sequencing
Technology Type	nucleotide sequencing

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