• NERC Data Catalogue Service
  •  
  •  
  •  

Richness and abundance of plant and animal pathogenic fungi in Patagonian, sub-Antarctic and Maritime Antarctic soil samples collected January-February 2018

57 soil samples were collected from 12 sites across Patagonia, the sub-Antarctic and the Maritime Antarctic between January and February 2018. The dataset presented here comprises two tables. The first shows the numbers of DNA reads of 105 genera of plant or animal pathogenic fungi in the soil samples. In the second table, for each of the 57 soil samples, seven bioclimatic variable predictors, six measures of soil chemistry, the total number of fungi reads and plant and animal pathogen richness and abundance are given, as well as the relative abundance of each fungal genus in each sample. The data in this second table were inputted into LASSO regression models and species indicator analyses.

This research was jointly funded by the NERC-CONICYT award (NE/P003079/1 and PII20150126, respectively) and Danish National Research Foundation award (VOLT, DNRF 168).

Simple

Date (Creation)
2025-07-14
Date (Revision)
2025-07-14
Date (Publication)
2025-07-14
Date (released)
2025-07-14
Edition
1.0
Unique resource identifier
https://doi.org/10.5285/d93d9ae6-4eff-4d9a-9997-d0ed06c3df1b
Codespace
doi
Unique resource identifier
GB/NERC/BAS/PDC/02081
Codespace
https://data.bas.ac.uk/
Unique resource identifier
NE/P003079/1
Codespace
award
Other citation details
Please cite this item as: Newsham, K.K., Biersma, E.M., Prieme, A., Molina-Montenegro, M.A., & Goodall-Copestake, W.P. (2025). Richness and abundance of plant and animal pathogenic fungi in Patagonian, sub-Antarctic and Maritime Antarctic soil samples collected January-February 2018 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/d93d9ae6-4eff-4d9a-9997-d0ed06c3df1b
Credit
No credit.
Status
completed Completed
Author
  British Antarctic Survey - Newsham, Kevin K ( Researcher )
Author
  Natural History Museum of Denmark - Biersma, Elisabeth M ( Researcher )
Author
  University of Copenhagen - Prieme, Anders ( Researcher )
Author
  University of Talca - Molina-Montenegro, Marco A ( Researcher )
Author
  Royal Botanic Garden Edinburgh - Goodall-Copestake, William P ( Researcher )
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Maintenance and update frequency
asNeeded As needed
Maintenance note
completed Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Biosphere > Fungi
Theme
  • air temperature
  • animal pathogenic fungi
  • emerging pathogens
  • phytopathogens
  • plant pathogenic fungi
  • precipitation
  • soil pH
Place
  • Torres del Paine, moraines near Frances Glacier Chile
  • Tierra del Fuego, beach near Porvenir Chile
  • Fuerte Bulnes Chile
  • Busen Region, Pohlia Falls South Georgia Island
  • Busen region, Upper Husdal Valley South Georgia Island
  • Thatcher Peninsula, Maiviken South Georgia Island
  • Tierra del Fuego, pass near Karukinka Natural Park Chile
  • Signy Island, Backslope South Orkney Islands
  • Livingston Island, Hannah Point South Shetland Islands
  • Antarctic Peninsula, Marguerite Bay, Lagoon Island Antarctica
  • Antarctic Peninsula, Marguerite Bay, Léonie Island Antarctica
  • Antarctic Peninsula, Marguerite Bay, Lagotellerie Island Antarctica
GEMET - INSPIRE themes, version 1.0
  • Habitats and biotopes
Access constraints
otherRestrictions Other restrictions
Other constraints
public access limited according to Article 13(1)(e) of the INSPIRE Directive
Use constraints
license License
Other constraints
Open Government Licence v3.0
Use constraints
otherRestrictions Other restrictions
Other constraints
Data released under Open Government Licence V3.0:
Use constraints
otherRestrictions Other restrictions
Other constraints
This dataset is under embargo until the publication of the relevant manuscript.
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Spatial representation type
textTable Text, table
Metadata language
engEnglish
Character set
utf8 UTF8
Topic category
  • Biota
N
S
E
W
thumbnail


Begin date
1981-01-01
End date
2010-12-31
Supplemental Information
It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.
Date (Publication)
2008-11-12
Publisher
  European Petroleum Survey Group
https://www.epsg-registry.org/
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version
6.18.3

Distributor

Distributor
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Name
text/csv
Units of distribution
bytes
Transfer size
180224
OnLine resource
Get Data ( WWW:LINK-1.0-http--link )

Download data

Hierarchy level
dataset Dataset
Statement

Methodology:

Soil samples were collected in January-February 2018 from 12 sites between Torres del Paine (Chile) and Lagotellerie Island (Maritime Antarctica). Four to five samples of barren soils (c. 20 g fresh weight) were sampled 1-2 m from Colobanthus quitensis plants into sterile containers that were stored at c. 4 °C before being frozen at -20 °C, prior to transfer to the lab, also at -20 °C.

The samples were defrosted and mixed. Soil pH value was measured in a suspension of 5 g soil and 20 ml of distilled water. Soil C/N ratio was calculated following measurement of total C and N in freeze-dried soils using a TruSpec CN analyser. Water-soluble carbon (C) and nitrogen (N) were extracted from 5 g of fresh soil in 25 ml distilled water for 60 min. After filtration through filter paper, the concentrations of total dissolved organic C were measured using a Shimadzu TOC-L CSH/CSN total organic C analyzer. Total dissolved N was measured with a FIAstar 5000 flow injection analyser after digesting extracts in sulphuric acid with selenium as the catalyst. Dissolved concentrations of NO3--N and NH4+-N were measured using a FIAstar 5000 flow injection analyser using cadmium reduction and indophenol blue and molybdenum blue methods, respectively.

DNA was extracted from 0.25 g subsamples of freeze-dried soil using a FastDNA Spin Kit for Soil. The internal transcribed spacer (ITS) 2 region of fungal DNA was amplified using the primers ITS4 and ITS7. PCR amplifications consisted of two steps: (i) primers and template DNA (1 µl) were added to Illustra puReTaq Ready-To-Go PCR Beads and were thermocycled at 94 °C for 2 min, then 35 cycles at 94 °C for 30 s, 56 °C for 30 s and 72 °C for 30 s, followed by an extension step at 72 °C for 5 min and (ii) 2 µl of the diluted PCR product was added to a reaction mixture consisting of 0.15 µl DNA polymerase (AccuPrimeTM Taq DNA Polymerase High Fidelity, Invitrogen), 2 µl 10 x AccuPrimeTM PCR Buffer II, 1 µl (770 nM) of custom-tagged forward and reverse primers and 13.85 µl sterile water. Mixtures were thermocycled at 94 °C for 2 min, then 14 cycles at 94 °C for 30 s, 56 °C for 30 s and 72 °C for 30 s, followed by an extension step at 72 °C for 5 min. Amplicons were purified in 1% agarose gels using a Montage Gel Extraction Kit. The concentrations of amplicons were measured using Qubit dsDNA HS assays and fluorescence was measured using a Qubit fluorometer. Samples, pooled in equimolar amounts, were paired-end sequenced over two Illumina MiSeq flowcells.

Demultiplexed sequences from each sample were trimmed of primers using cutadapt 1.18. DADA2 v1.22.0 was subsequently used in R v 4.1.1 for quality filtering, amplicon sequence variant inference and taxon assignment. Quality filtering removed all sequences with ambiguous bases (trncQ=11), >2 expected errors and lengths <50 bp. Error rates were estimated for forward and reverse sequences and amplicon sequence variants inferred before merging with a 30 base pair minimum overlap. Chimeras were removed and taxonomies assigned to resulting amplicon sequence variants using the RDP classifier with the sh_general_release-dynamimc_all_25.07.2023 reference from UNITE. The decontam v1.14.0 package was then used to remove putative contaminants identified in negative controls (threshold value 1.0). Taxonomies and occurrences of the removed amplicon sequence variants were cross-checked through manual inspection. The taxonomy-assigned, decontaminated amplicon sequence variants were clustered into operational taxonomic units (OTUs) at 98% similarity over 90% of sequence length using the BLASTCLUST algorithm in the package blast-legacy v2.2.26. For each OTU, the taxonomies for its constituent amplicon sequence variants were compared to validate the OTU taxonomy used for all subsequent analyses.

Le...(20)

Data collection:

Instruments

Qubit fluorometer (Thermofisher, USA)

Illumina MiSeq System (Illumina, San Diego, California, USA)

TruSpec CN analyser Leco (St Joseph, MI, USA)

Shimadzu TOC-L CSH/CSN total organic C analyzer (Shimadzu, Kyoto, Japan)

FIAstar 5000 flow injection analyser (Foss Tecator, Hoganas, Sweden)

Software

R versions 4.1.1 and 4.1.3

R packages: terra v 1.6-47, glmnet v4.1-8, DADA2 v1.22.0, decontam v1.14.0 and indicspecies v1.7.15

Python: cutadapt 1.18

UNITE: RDP classifier with sh_general_release-dynamimc_all_25.07.2023

blast-legacy v2.2.26

Web of Science

CHELSA database v. 2.1

CHELSA-BIOCLIM+ database

iNEXT package

Data quality:

Raw data are shown. The data have not been cleaned.

File identifier
d93d9ae6-4eff-4d9a-9997-d0ed06c3df1b XML
Metadata language
engEnglish
Character set
utf8 UTF8
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-07-14
Metadata standard name
ISO 19115 Geographic Information - Metadata
Metadata standard version
ISO 19115:2003(E)
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

air temperature animal pathogenic fungi emerging pathogens phytopathogens plant pathogenic fungi precipitation soil pH
GEMET - INSPIRE themes, version 1.0
Habitats and biotopes
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > Biosphere > Fungi

Provided by

logo

Share on social sites

Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •  
  •  
  •