Evidence map›Paper›PMID 34207415›Full record

ArticlePlants (Basel, Switzerland)2021

Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm.

Matthew Ordidge, Suzanne Litthauer, Edward Venison, Marine Blouin-Delmas, Felicidad Fernandez-Fernandez, Monika Höfer, Christina Kägi, Markus Kellerhals, Annalisa Marchese, Stephanie Mariette and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matthew OrdidgeDepartment of Crop Science, School of Agriculture, Policy and Development, University of Reading, Reading RG6 6EU, UK.
Suzanne LitthauerNIAB EMR, New Road, East Malling, Kent ME19 6BJ, UK.ORCID 0000-0003-0265-3315
Edward VenisonDepartment of Crop Science, School of Agriculture, Policy and Development, University of Reading, Reading RG6 6EU, UK.
Marine Blouin-DelmasINRAE-Unité Expérimentale Arboricole, Domaine de la Tour de Rance, 47320 Bourran, France.
Felicidad Fernandez-FernandezNIAB EMR, New Road, East Malling, Kent ME19 6BJ, UK.
Monika HöferFederal Research Centre for Cultivated Plants, Institute for Breeding Research on Fruit Crops, Julius Kühn Institute, Pillnitzer Platz 3a, 01326 Dresden, Germany.
Christina KägiFederal Office for Agriculture, Genetic Resources and Technologies, Schwarzenburgstrasse 165, 3003 Bern, Switzerland.
Markus KellerhalsAgroscope, Strategic Research Division Plant Breeding, Müller-Thurgau-Str. 29, 8820 Wädenswil, Switzerland.
Annalisa MarcheseDepartment of Agricultural, Food and Forest Sciences, University of Palermo, Viale delle Scienze-Ed. 4, 90128 Palermo, Italy.ORCID 0000-0002-6816-6184
Stephanie MarietteBIOGECO, INRAE, University of Bordeaux, Route d'Arcachon 69, 33612 Cestas, France.
Hilde NybomBalsgård-Department of Plant Breeding, Swedish University of Agricultural Sciences, Fjälkestadsvägen 459, 29194 Kristianstad, Sweden.ORCID 0000-0002-4355-8106
Daniela GiovanniniCREA-Research Centre for Olive, Fruit and Citrus Crops, via la Canapona 1 bis, 47121 Forlì, Italy.ORCID 0000-0003-0977-390X

Funding

Department for Environment, Food and Rural Affairs, UK Government GC0147ECPGR Testing, Use and Alignment of genetic data to distinguish unique and characterized accessions in Prunus - Prunus Alignment
6 · The paper itself

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.

Indexed as

genetic resourcegermplasmmicrosatellitePrunus aviumSSRsweet cherry

Identifiers

PMID34207415
PMCPMC8235247

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.