1. ABOUT THE DATASET
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Title: Genetic Fingerprint (SSR) data from the UK National Fruit Collection Plum collection
Creator(s): Deepti Angra, Edward Venison, Matthew Ordidge
Organisation(s): University of Reading
Rights-holder(s): Department for Environment, Food & Rural Affairs
Publication Year: 2025
Description: Data are simple sequence repeat (SSR) genetic fingerprints of the accessions in the plum collection of the National Fruit Collection, Brogdale, UK. The data are called and rounded allele scores, recorded by marker to the nearest base pair.
Data were collected as part of the ongoing curation of the collection, specifically in support of the recent repropagation of the plum collection.
Data were collected broadly following the approaches and methods of Gasi et al. (Genetic Resources and Crop Evolution, 67 (5). pp. 1137-1161. ISSN 0925-9864 doi: https://doi.org/10.1007/s10722-020-00901-y) and Nybom et al. (Genetic Resources, 1. pp. 40-48. ISSN 0925-9864 doi: https://doi.org/10.46265/genresj.2020.1.40-48).
Data were produced on an ABI 3730 Genetic Analyzer and screened using Genemapper 5 software.
Cite as: Angra, Deepti; Venison, Edward; and Ordidge, Matthew (2024): Genetic Fingerprint (SSR) data from the UK National Fruit Collection Plum collection University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1311
Related Publication: none

2. TERMS OF USE
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Copyright Department for Environment, Food & Rural Affairs 2024. This dataset is licensed by the rights-holder(s) under the Open Government License 3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

3. PROJECT AND FUNDING INFORMATION
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Title: The Long Term Housing, Maintenance and Scientific Curation of the National Fruit Collections 
Dates: April 2014-
Funding organisation: Defra
Grant no.: GC0147

4. CONTENTS
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Preliminary_Plum_SSR_25_04_24.csv
Data are presented in the form of an Excel .csv file and are SSR alleles, called and rounded to the nearest base pair using Genemapper software. Columns 1-5 contain unique Accession Numbers, Accession Names and row/tree data for the collection. SSR data are included with a single allele per column allowing for 8 columns (or peaks) per locus. Locus names are indicated above allele 1.

5. METHOD and PROCESSING
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Data were collected broadly following the approaches and methods of Gasi et al. (Genetic Resources and Crop Evolution, 67 (5). pp. 1137-1161. ISSN 0925-9864 doi: https://doi.org/10.1007/s10722-020-00901-y) and Nybom et al. (Genetic Resources, 1. pp. 40-48. ISSN 0925-9864 doi: https://doi.org/10.46265/genresj.2020.1.40-48).
Data were produced on an ABI 3730 Genetic Analyzer and screened using Genemapper 5 software.
Changes to the published protocols included the use of the Edge-Garza et al. (Mol Breed 34:2225–2228. https://doi.org/10.1007/s11032-014-0160-x) extraction protocol and the use of multiplex reactions for loci BPPCT007/CPSCT026, UDP98/BPPCT034 and UDP96/PacA33/BPPCT014/BPPCT040.