Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm.
Prunus avium
SSR
genetic resource
germplasm
microsatellite
sweet cherry
Journal
Plants (Basel, Switzerland)
ISSN: 2223-7747
Titre abrégé: Plants (Basel)
Pays: Switzerland
ID NLM: 101596181
Informations de publication
Date de publication:
18 Jun 2021
18 Jun 2021
Historique:
received:
26
05
2021
revised:
14
06
2021
accepted:
15
06
2021
entrez:
2
7
2021
pubmed:
3
7
2021
medline:
3
7
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34207415
pii: plants10061243
doi: 10.3390/plants10061243
pmc: PMC8235247
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Department for Environment, Food and Rural Affairs, UK Government
ID : GC0147
Organisme : ECPGR
ID : Testing, Use and Alignment of genetic data to distinguish unique and characterized accessions in Prunus - Prunus Alignment
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