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Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse

This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013. Full details about this dataset can be found at https://doi.org/10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf

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Date (Publication)
2021-08-31
Identifier
https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf
Identifier
doi: / 10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf
Other citation details
Perry, A., Wachowiak, W., Donnelly, K., Cavers, S. (2021). Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse. NERC EDS Environmental Information Data Centre 10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf
Author
  UK Centre for Ecology & Hydrology - Perry, A.
https://orcid.org/0000-0002-7889-7597
Author
  Adam Mickiewicz University - Wachowiak, W.
https://orcid.org/0000-0003-2898-3523
Author
  UK Centre for Ecology & Hydrology - Donnelly, K.
Author
  UK Centre for Ecology & Hydrology - Cavers, S.
https://orcid.org/0000-0003-2139-9236
Point of contact
  UK Centre for Ecology & Hydrology - Perry, A.
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  UK Centre for Ecology & Hydrology
GEMET - INSPIRE themes, version 1.0
  • Environmental Monitoring Facilities
Access constraints
otherRestrictions Other restrictions
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no limitations
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otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: Perry, A., Wachowiak, W., Donnelly, K., Cavers, S. (2021). Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf
Spatial representation type
textTable Text, table
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Biota
Begin date
2010-01-01
End date
2013-12-31
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Unique resource identifier
WGS 84
Distribution format
  • Text ()

Distributor
  NERC EDS Environmental Information Data Centre
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dataset

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Date (Publication)
2010-12-08
Statement
A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a). Phenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. A subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). 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).
File identifier
55118e26-cf5c-41d6-9157-738fce6bdddf XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-13T16:25:26
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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GEMET - INSPIRE themes, version 1.0
Environmental Monitoring Facilities

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