Evidence map›Paper›PMID 23667437›Full record

ArticlePloS one2013

Construction of core collections suitable for association mapping to optimize use of Mediterranean olive (Olea europaea L.) genetic resources.

Ahmed El Bakkali, Hicham Haouane, Abdelmajid Moukhli, Evelyne Costes, Patrick Van Damme, Bouchaib Khadari

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

42 citing papers in PubMed.

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  12. Microsatellite Markers in Olives (Foods (Basel, Switzerland) · 2021
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. The MultisitePlant physiology · 2020
    Article
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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.

Ahmed El BakkaliINRA, UMR Amélioration Génétique et Adaptation des Plantes (AGAP), Montpellier, France.
Hicham Haouane
Abdelmajid Moukhli
Evelyne Costes
Patrick Van Damme
Bouchaib Khadari

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic characterisation of germplasm collections is a decisive step towards association mapping analyses, but it is particularly expensive and tedious for woody perennial plant species. Characterisation could be more efficient if focused on a reasonably sized subset of accessions, or so-called core collection (CC), reflecting the geographic origin and variability of the germplasm. The questions that arise concern the sample size to use and genetic parameters that should be optimized in a core collection to make it suitable for association mapping. Here we investigated these questions in olive (Olea europaea L.), a perennial fruit species. By testing different sampling methods and sizes in a worldwide olive germplasm bank (OWGB Marrakech, Morocco) containing 502 unique genotypes characterized by nuclear and plastid loci, a two-step sampling method was proposed. The Shannon-Weaver diversity index was found to be the best criterion to be maximized in the first step using the Core Hunter program. A primary core collection of 50 entries (CC50) was defined that captured more than 80% of the diversity. This latter was subsequently used as a kernel with the Mstrat program to capture the remaining diversity. 200 core collections of 94 entries (CC94) were thus built for flexibility in the choice of varieties to be studied. Most entries of both core collections (CC50 and CC94) were revealed to be unrelated due to the low kinship coefficient, whereas a genetic structure spanning the eastern and western/central Mediterranean regions was noted. Linkage disequilibrium was observed in CC94 which was mainly explained by a genetic structure effect as noted for OWGB Marrakech. Since they reflect the geographic origin and diversity of olive germplasm and are of reasonable size, both core collections will be of major interest to develop long-term association studies and thus enhance genomic selection in olive species.

Indexed as

Linkage DisequilibriumCell NucleusChromosome MappingDNA, PlantGenetic LociGenetic VariationHaplotypesMediterranean RegionMicrosatellite RepeatsOleaPhylogenyPlastidsDNA, Plant

Identifiers

PMID23667437
PMCPMC3646834

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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.