ArticlePlants (Basel, Switzerland)2021
Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm.
Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- The Development of New SSR Markers and an Assay for Genotyping Sweet Cherry (International journal of molecular sciences · 2026Article
- Genetic and Pomological Determination of the Trueness-to-Type of Sweet Cherry Cultivars in the German National Fruit Genebank.Plants (Basel, Switzerland) · 2023Article
- Deducing genotypes for loci of interest from SNP array data via haplotype sharing, demonstrated for apple and cherry.PloS one · 2023Article
- Diversity Assessment and DNA-Based Fingerprinting of Sicilian Hazelnut (Plants (Basel, Switzerland) · 2022Article
- Genetic Diversity of Peach Cultivars from the Collection of the Nikita Botanical Garden Based on SSR Markers.Plants (Basel, Switzerland) · 2021Article
- SSR-Based Analysis of Genetic Diversity and Structure of Sweet Cherry (Plants (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The objective of our study was the alignment of microsatellite or simple sequence repeat (SSR) marker data across germplasm collections of cherry within Europe. Through the European Cooperative program for Plant Genetic Resources ECPGR, a number of European germplasm collections had previously been analysed using standard sets of SSR loci. However, until now these datasets remained unaligned. We used a combination of standard reference genotypes and ad-hoc selections to compile a central dataset representing as many alleles as possible from national datasets produced in France, Great Britain, Germany, Italy, Sweden and Switzerland. Through the comparison of alleles called in data from replicated samples we were able to create a series of alignment factors, supported across 448 different allele calls, that allowed us to align a dataset of 2241 SSR profiles from six countries. The proportion of allele comparisons that were either in agreement with the alignment factor or confounded by null alleles ranged from 67% to 100% and this was further improved by the inclusion of a series of allele-specific adjustments. The aligned dataset allowed us to identify groups of previously unknown matching accessions and to identify and resolve a number of errors in the prior datasets. The combined and aligned dataset represents a significant step forward in the co-ordinated management of field collections of cherry in Europe.
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