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Scots pine single nucleotide polymorphism (SNP) genotypes for Axiom array validation

The dataset contains genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex. Full details about this dataset can be found at https://doi.org/10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2

Simple

Date (Publication)
2020-03-27
Citation identifier
https://catalogue.ceh.ac.uk/id/7ee55609-d6b1-4693-8b36-2bf84fef76c2
Citation identifier
doi: / 10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2
Other citation details

Cavers, S., Wachowiak, W., Perry, A. (2020). Scots pine single nucleotide polymorphism (SNP) genotypes for Axiom array validation. NERC Environmental Information Data Centre 10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2

Point of contact
Organisation name Individual name Electronic mail address Role
UK Centre for Ecology & Hydrology Cavers, S.

enquiries@ceh.ac.uk

Author
Adam Mickiewicz University Wachowiak, W.

witwac@amu.edu.pl

Author
UK Centre for Ecology & Hydrology Perry, A.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology

Cavers, S.

enquiries@ceh.ac.uk

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC Environmental Information Data Centre

info@eidc.ac.uk

Publisher
UK Centre for Ecology & Hydrology

enquiries@ceh.ac.uk

Owner

GEMET - INSPIRE themes, version 1.0

  • Environmental Monitoring Facilities

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Cavers, S., Wachowiak, W., Perry, A. (2020). Scots pine single nucleotide polymorphism (SNP) genotypes for Axiom array validation. NERC Environmental Information Data Centre https://doi.org/10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2

Spatial representation type
Text, table
Distance
10000  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Biota
N
S
E
W
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Unique resource identifier
WGS 84
Distribution format
Name Version

text

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/7ee55609-d6b1-4693-8b36-2bf84fef76c2

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/7ee55609-d6b1-4693-8b36-2bf84fef76c2.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Samples & Validation of the array was carried out using a subset of 87 samples, which included four species of pine (Pinus sylvestris: SY; P. mugo: MU; P. uncinata: UN; P. uliginosa: UL). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1% agarose gel. Genotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC 'high' ≥ 0.82; DQC 'low' < 0.82; CR 'high' ≥ 96; CR 'low' < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).

Metadata

File identifier
7ee55609-d6b1-4693-8b36-2bf84fef76c2 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-03-21T13:21:09
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Environmental Monitoring Facilities


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