Evidence map›Paper›PMID 30208051›Full record

ArticlePloS one2018

Genetic analysis of a major international collection of cultivated apple varieties reveals previously unknown historic heteroploid and inbred relationships.

Matthew Ordidge, Pianpool Kirdwichai, M Fazil Baksh, Edward P Venison, J George Gibbings, Jim M Dunwell

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In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 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

6 authors.

Matthew OrdidgeSchool of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.ORCID 0000-0003-0115-5218
Pianpool KirdwichaiSchool of Mathematical, Physical and Computational Sciences, University of Reading, Reading, United Kingdom.ORCID 0000-0002-5547-7354
M Fazil BakshSchool of Mathematical, Physical and Computational Sciences, University of Reading, Reading, United Kingdom.ORCID 0000-0003-3107-8815
Edward P VenisonSchool of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.
J George GibbingsSchool of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.
Jim M DunwellSchool of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom.ORCID 0000-0003-2147-665X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domesticated apple (Malus x domestica Borkh.) is a major global crop and the genetic diversity held within the pool of cultivated varieties is important for the development of future cultivars. The aim of this study was to investigate the diversity held within the domesticated form, through the analysis of a major international germplasm collection of cultivated varieties, the UK National Fruit Collection, consisting of over 2,000 selections of named cultivars and seedling varieties. We utilised Diversity Array Technology (DArT) markers to assess the genetic diversity within the collection. Clustering attempts, using the software STRUCTURE revealed that the accessions formed a complex and historically admixed group for which clear clustering was challenging. Comparison of accessions using the Jaccard similarity coefficient allowed us to identify clonal and duplicate material as well as revealing pairs and groups that appeared more closely related than a standard parent-offspring or full-sibling relations. From further investigation, we were able to propose a number of new pedigrees, which revealed that some historically important cultivars were more closely related than previously documented and that some of them were partially inbred. We were also able to elucidate a number of parent-offspring relationships that had resulted in a number of important polyploid cultivars. This included reuniting polyploid cultivars that in some cases dated as far back as the 18th century, with diploid parents that potentially date back as far as the 13th century.

Indexed as

Genetic VariationInbreedingModels, GeneticMalus

Identifiers

PMID30208051
PMCPMC6135360

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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.