Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012

The datasets consist of three csv files containing: (i) the numbers of DNA reads of 415 operational taxonomic units of fungi in 64 plots of a soil warming experiment sampled in 2007, 2009, 2010, 2011 and 2012, (ii) the taxonomic placements of the fungi and (iii) the treatments applied to the plots....

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Main Authors: Davey, Marie L, Newsham, Kevin K
Format: Dataset
Language:English
Published: NERC EDS UK Polar Data Centre 2021
Subjects:
Online Access:https://dx.doi.org/10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01576
id ftdatacite:10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic "EARTH SCIENCE","BIOSPHERE","FUNGI"
"EARTH SCIENCE","BIOSPHERE","FUNGI TAXONOMY"
Antarctica
climate change
filamentous fungi
fungi
glucose
glycine
growth substrates
irrigation
lichenised fungi
open top chambers
soil
tryptone soy broth
warming
yeasts
spellingShingle "EARTH SCIENCE","BIOSPHERE","FUNGI"
"EARTH SCIENCE","BIOSPHERE","FUNGI TAXONOMY"
Antarctica
climate change
filamentous fungi
fungi
glucose
glycine
growth substrates
irrigation
lichenised fungi
open top chambers
soil
tryptone soy broth
warming
yeasts
Davey, Marie L
Newsham, Kevin K
Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
topic_facet "EARTH SCIENCE","BIOSPHERE","FUNGI"
"EARTH SCIENCE","BIOSPHERE","FUNGI TAXONOMY"
Antarctica
climate change
filamentous fungi
fungi
glucose
glycine
growth substrates
irrigation
lichenised fungi
open top chambers
soil
tryptone soy broth
warming
yeasts
description The datasets consist of three csv files containing: (i) the numbers of DNA reads of 415 operational taxonomic units of fungi in 64 plots of a soil warming experiment sampled in 2007, 2009, 2010, 2011 and 2012, (ii) the taxonomic placements of the fungi and (iii) the treatments applied to the plots. The research was funded by an Antarctic Funding Initiative grant from the UK Natural Environment Research Council (NE/D00893X/1), a NERC GW4+ Doctoral Training Partnership studentship (grant number NE/L002434/1), NERC core funding to the British Antarctic Survey Long Term Monitoring and Survey programme, and monies derived from the University in Svalbard Arctic Mycology course (for which reference numbers are not available). : The field experiment was deployed in November 2007 at Mars Oasis on the south-eastern coast of Alexander Island in the southern maritime Antarctic. It consisted of 64 circular plots of 1 m diameter deployed on barren fellfield soil in a periglacial habitat. The soil at Mars Oasis is free of snow and ice cover for c. 10 weeks (early December - mid February) and is permanently frozen for c. 39 weeks of each year. It has a mean pH value of 7.9, mean water potentials measured within a month of snowmelt of between -1 MPa and -7 MPa, and mean organic C and N concentrations of 0.26 percent and 0.02 percent, respectively. Three substrates were applied to the soil. The soil in 48 plots was amended yearly with either powdered glucose, glycine or tryptone soy broth (TSB), with soil in 16 plots receiving each substrate. Within each group of 16 plots, eight were warmed for the duration of the experiment with conical polycarbonate open top chambers (OTCs), and eight were irrigated annually with 1.5 L of water applied to a 0.05 m2 central area in each plot, raising soil water concentrations to 100 percent of water holding capacity. The experimental layout resulted in 16 OTC-irrigation-substrate treatments, each replicated four times in a randomised design. Soil was sampled from the central region of each plot into sterile plastic tubes in early December 2007, 2009, 2010, 2011 and 2012, and was stored at c.-3 deg C for 96 h (2010) or 16-24 h (other years), before being frozen at -20 deg C and being transported, at the same temperature, to the UK. There, the soil from each plot was defrosted and passed through a 2mm sterile mesh under aseptic conditions. Total DNA was then extracted from 1.1g (fwt) sub-samples of soil and was dried under aseptic conditions prior to shipping to Norway, after which it was resuspended in 30 micro-litres of sterile distilled water. The internal transcriber spacer region or ribosomal RNA genes was first amplified with the primers ITS1F (5'-CTTGGTCATTTAGAGGAGTAA-3') and ITS4 (5'-TCCTCCGCTTATTGATATGC-3'). The ITS1 region was then tagged in a second, nested PCR using fusion primers consisting of the primers ITS1F and ITS2 (5'-GCTGCGTTCTTCATCGATGC-3') and one of 96 unique 6 basepair multiple identifier combinations. PCR reactions were conducted in 25 micro-litre reactions. Final concentrations of reagents were as follows: 1x gold buffer, 0.2 mM dNTPs, 1.5 mM MgCl2, 0.2 micro-metre each of the forward and reverse primers, 2 micro-litres of template DNA and 0.75 units of AmpliTaq Gold DNA Polymerase (ThermoFisher Scientific). Reaction conditions were as follows: initial denaturation at 95 deg C for 5 minutes, followed by 30 cycles (initial amplification) or 20 cycles (nested amplification) of denaturation at 95 deg C for 30 seconds, annealing at 55 deg C for 30 seconds, elongation at 72 deg C for 1 minute, and a final elongation step of 72 deg C for 7 minutes. Amplicons were purified with Agencourt AMPure beads (Agencourt Bioscience, Beverly, United States) and DNA concentrations were measured by Qubit assays. Samples were combined into equimolar pools of 96 uniquely tagged samples that were then submitted to StarSeq GmbH (Mainz, Germany) where each of the four pools of 96 samples were further indexed using the Illumina Nextera Library Prep kit before sequencing in a paired end run on an Illumina MiSeq platform. Samples were demultiplexed and primer sequences were identified and removed from both the 5' and 3' ends of forward and reverse reads using cutadapt v.1.9.1, allowing up to 15 percent mismatch across the length of the primer. The DADA2 v1.18 package in R was used for quality filtering, error correction and chimera detection. Reads were quality filtered to remove all sequences with ambiguous bases, more than 2 expected errors in the forward direction, more than 4 expected errors in the reverse direction, and length less length 50 basepairs after truncation at the first instance of a base with a quality score of less than 20. Error rates were estimated for forward and reverse sequences and forward and reverse reads were merged with a minimum overlap of 30 basepairs, and amplicon sequence variants (ASVs) were inferred for each sample. Chimeric sequnce variants were assessed on a per-sample basis. Sequence variants were removed if they were flagged as chimeric in more than 90 percent of the sample in which they occurred. ASVs were further clustered into operational taxonomic units (OTUs) with 97 percent and the most abundant sequence variant in each OTU was selected as the representative sequence of the OTU. Taxonomy was assigned to OTUS using the RDP classifier against the UNTIE database. In cases where the RDP classifier assigned to OTUs to genus level with a probability of at least 80 percent, the OTUs were further assigned to a guild or growth form (lichenised, obligate and the facultative yeasts, or filamentous) using FUNguild v.1.0, including only taxa for which the trophic mode assignements were 'highly probable' or 'probable'. In addition, OTUs assigned to the families Verrucariaceae, Teloschistaceae, Lecanoraceae and Acarosporaceae at the probability of at least 80 percent were assigned to the lichenised guild, since these families consist entirely of lichen-forming taxa. : Instrumentation: 1. Qubit dsDNA HS assays: Life Technologies, Carlsbad, CA, USA 2. Amplicon sequencing: Illumina MiSeq platform, Illumina Inc., San Diego, USA 3. cutadapt v. 1.9.1: Martin (2011) doi: 10.14806/ej.17.1.200 4. DADA2 v. 1.18: Callahan et al. (2016) doi: 10.1038/nmeth.3869 5. RDP classifier v. 2.13: Wang et al. (2007) doi: 10.1128/AEM.00062-07 6. UNITE v. 8.3: Nilsson et al. (2018) doi: 10.1093/nar/gky1022 7. FUNguild v. 1.0: Nguyen et al. (2016) doi: 10.1016/j.funeco.2015.06.006 : Instruments were calibrated according to laboratory practices, with standards being used where necessary. No data losses and no data cleaning. Columns MB-MG and MO contain missing values (entered as asterisks) when an OTU could not be confidently assigned to a phylum, class, order, family, genus or species, or a guild or growth form.
format Dataset
author Davey, Marie L
Newsham, Kevin K
author_facet Davey, Marie L
Newsham, Kevin K
author_sort Davey, Marie L
title Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
title_short Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
title_full Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
title_fullStr Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
title_full_unstemmed Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012
title_sort numbers of reads of fungal operational taxonomic units in a soil warming experiment at mars oasis in maritime antarctica from 2007-2012
publisher NERC EDS UK Polar Data Centre
publishDate 2021
url https://dx.doi.org/10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01576
long_lat ENVELOPE(-69.895,-69.895,-71.287,-71.287)
ENVELOPE(-68.250,-68.250,-71.879,-71.879)
geographic Arctic
Antarctic
Svalbard
Norway
Alexander Island
Mars Oasis
geographic_facet Arctic
Antarctic
Svalbard
Norway
Alexander Island
Mars Oasis
genre Alexander Island
Antarc*
Antarctic
Antarctica
Arctic
British Antarctic Survey
Climate change
Svalbard
genre_facet Alexander Island
Antarc*
Antarctic
Antarctica
Arctic
British Antarctic Survey
Climate change
Svalbard
op_rights Open Government Licence V3.0
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
op_doi https://doi.org/10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15
_version_ 1766268289718157312
spelling ftdatacite:10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15 2023-05-15T13:15:23+02:00 Numbers of reads of fungal operational taxonomic units in a soil warming experiment at Mars Oasis in maritime Antarctica from 2007-2012 Davey, Marie L Newsham, Kevin K 2021 https://dx.doi.org/10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15 https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01576 en eng NERC EDS UK Polar Data Centre Open Government Licence V3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ "EARTH SCIENCE","BIOSPHERE","FUNGI" "EARTH SCIENCE","BIOSPHERE","FUNGI TAXONOMY" Antarctica climate change filamentous fungi fungi glucose glycine growth substrates irrigation lichenised fungi open top chambers soil tryptone soy broth warming yeasts Antarctica,climate change,filamentous fungi,fungi,glucose,glycine,growth substrates,irrigation,lichenised fungi,open top chambers,soil,tryptone soy broth,warming,yeasts dataset Dataset 2021 ftdatacite https://doi.org/10.5285/97a08dd9-3b17-49a2-b2d2-aacf67c4cf15 2022-02-08T12:27:12Z The datasets consist of three csv files containing: (i) the numbers of DNA reads of 415 operational taxonomic units of fungi in 64 plots of a soil warming experiment sampled in 2007, 2009, 2010, 2011 and 2012, (ii) the taxonomic placements of the fungi and (iii) the treatments applied to the plots. The research was funded by an Antarctic Funding Initiative grant from the UK Natural Environment Research Council (NE/D00893X/1), a NERC GW4+ Doctoral Training Partnership studentship (grant number NE/L002434/1), NERC core funding to the British Antarctic Survey Long Term Monitoring and Survey programme, and monies derived from the University in Svalbard Arctic Mycology course (for which reference numbers are not available). : The field experiment was deployed in November 2007 at Mars Oasis on the south-eastern coast of Alexander Island in the southern maritime Antarctic. It consisted of 64 circular plots of 1 m diameter deployed on barren fellfield soil in a periglacial habitat. The soil at Mars Oasis is free of snow and ice cover for c. 10 weeks (early December - mid February) and is permanently frozen for c. 39 weeks of each year. It has a mean pH value of 7.9, mean water potentials measured within a month of snowmelt of between -1 MPa and -7 MPa, and mean organic C and N concentrations of 0.26 percent and 0.02 percent, respectively. Three substrates were applied to the soil. The soil in 48 plots was amended yearly with either powdered glucose, glycine or tryptone soy broth (TSB), with soil in 16 plots receiving each substrate. Within each group of 16 plots, eight were warmed for the duration of the experiment with conical polycarbonate open top chambers (OTCs), and eight were irrigated annually with 1.5 L of water applied to a 0.05 m2 central area in each plot, raising soil water concentrations to 100 percent of water holding capacity. The experimental layout resulted in 16 OTC-irrigation-substrate treatments, each replicated four times in a randomised design. Soil was sampled from the central region of each plot into sterile plastic tubes in early December 2007, 2009, 2010, 2011 and 2012, and was stored at c.-3 deg C for 96 h (2010) or 16-24 h (other years), before being frozen at -20 deg C and being transported, at the same temperature, to the UK. There, the soil from each plot was defrosted and passed through a 2mm sterile mesh under aseptic conditions. Total DNA was then extracted from 1.1g (fwt) sub-samples of soil and was dried under aseptic conditions prior to shipping to Norway, after which it was resuspended in 30 micro-litres of sterile distilled water. The internal transcriber spacer region or ribosomal RNA genes was first amplified with the primers ITS1F (5'-CTTGGTCATTTAGAGGAGTAA-3') and ITS4 (5'-TCCTCCGCTTATTGATATGC-3'). The ITS1 region was then tagged in a second, nested PCR using fusion primers consisting of the primers ITS1F and ITS2 (5'-GCTGCGTTCTTCATCGATGC-3') and one of 96 unique 6 basepair multiple identifier combinations. PCR reactions were conducted in 25 micro-litre reactions. Final concentrations of reagents were as follows: 1x gold buffer, 0.2 mM dNTPs, 1.5 mM MgCl2, 0.2 micro-metre each of the forward and reverse primers, 2 micro-litres of template DNA and 0.75 units of AmpliTaq Gold DNA Polymerase (ThermoFisher Scientific). Reaction conditions were as follows: initial denaturation at 95 deg C for 5 minutes, followed by 30 cycles (initial amplification) or 20 cycles (nested amplification) of denaturation at 95 deg C for 30 seconds, annealing at 55 deg C for 30 seconds, elongation at 72 deg C for 1 minute, and a final elongation step of 72 deg C for 7 minutes. Amplicons were purified with Agencourt AMPure beads (Agencourt Bioscience, Beverly, United States) and DNA concentrations were measured by Qubit assays. Samples were combined into equimolar pools of 96 uniquely tagged samples that were then submitted to StarSeq GmbH (Mainz, Germany) where each of the four pools of 96 samples were further indexed using the Illumina Nextera Library Prep kit before sequencing in a paired end run on an Illumina MiSeq platform. Samples were demultiplexed and primer sequences were identified and removed from both the 5' and 3' ends of forward and reverse reads using cutadapt v.1.9.1, allowing up to 15 percent mismatch across the length of the primer. The DADA2 v1.18 package in R was used for quality filtering, error correction and chimera detection. Reads were quality filtered to remove all sequences with ambiguous bases, more than 2 expected errors in the forward direction, more than 4 expected errors in the reverse direction, and length less length 50 basepairs after truncation at the first instance of a base with a quality score of less than 20. Error rates were estimated for forward and reverse sequences and forward and reverse reads were merged with a minimum overlap of 30 basepairs, and amplicon sequence variants (ASVs) were inferred for each sample. Chimeric sequnce variants were assessed on a per-sample basis. Sequence variants were removed if they were flagged as chimeric in more than 90 percent of the sample in which they occurred. ASVs were further clustered into operational taxonomic units (OTUs) with 97 percent and the most abundant sequence variant in each OTU was selected as the representative sequence of the OTU. Taxonomy was assigned to OTUS using the RDP classifier against the UNTIE database. In cases where the RDP classifier assigned to OTUs to genus level with a probability of at least 80 percent, the OTUs were further assigned to a guild or growth form (lichenised, obligate and the facultative yeasts, or filamentous) using FUNguild v.1.0, including only taxa for which the trophic mode assignements were 'highly probable' or 'probable'. In addition, OTUs assigned to the families Verrucariaceae, Teloschistaceae, Lecanoraceae and Acarosporaceae at the probability of at least 80 percent were assigned to the lichenised guild, since these families consist entirely of lichen-forming taxa. : Instrumentation: 1. Qubit dsDNA HS assays: Life Technologies, Carlsbad, CA, USA 2. Amplicon sequencing: Illumina MiSeq platform, Illumina Inc., San Diego, USA 3. cutadapt v. 1.9.1: Martin (2011) doi: 10.14806/ej.17.1.200 4. DADA2 v. 1.18: Callahan et al. (2016) doi: 10.1038/nmeth.3869 5. RDP classifier v. 2.13: Wang et al. (2007) doi: 10.1128/AEM.00062-07 6. UNITE v. 8.3: Nilsson et al. (2018) doi: 10.1093/nar/gky1022 7. FUNguild v. 1.0: Nguyen et al. (2016) doi: 10.1016/j.funeco.2015.06.006 : Instruments were calibrated according to laboratory practices, with standards being used where necessary. No data losses and no data cleaning. Columns MB-MG and MO contain missing values (entered as asterisks) when an OTU could not be confidently assigned to a phylum, class, order, family, genus or species, or a guild or growth form. Dataset Alexander Island Antarc* Antarctic Antarctica Arctic British Antarctic Survey Climate change Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Antarctic Svalbard Norway Alexander Island ENVELOPE(-69.895,-69.895,-71.287,-71.287) Mars Oasis ENVELOPE(-68.250,-68.250,-71.879,-71.879)