Evidence map›Paper›PMID 26382618›Full record

ArticlePloS one2015

Evaluating the Influence of the Microsatellite Marker Set on the Genetic Structure Inferred in Pyrus communis L.

Jorge Urrestarazu, José B Royo, Luis G Santesteban, Carlos Miranda

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  5. Identification of Red Grapevine Cultivars (Plants (Basel, Switzerland) · 2020
    Article
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  7. 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

4 authors.

Jorge UrrestarazuDepartamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
José B RoyoDepartamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
Luis G SantestebanDepartamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
Carlos MirandaDepartamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fingerprinting information can be used to elucidate in a robust manner the genetic structure of germplasm collections, allowing a more rational and fine assessment of genetic resources. Bayesian model-based approaches are nowadays majorly preferred to infer genetic structure, but it is still largely unresolved how marker sets should be built in order to obtain a robust inference. The objective was to evaluate, in Pyrus germplasm collections, the influence of the SSR marker set size on the genetic structure inferred, also evaluating the influence of the criterion used to select those markers. Inferences were performed considering an increasing number of SSR markers that ranged from just two up to 25, incorporated one at a time into the analysis. The influence of the number of SSR markers used was evaluated comparing the number of populations and the strength of the signal detected, and also the similarity of the genotype assignments to populations between analyses. In order to test if those results were influenced by the criterion used to select the SSRs, several choosing scenarios based on the discrimination power or the fixation index values of the SSRs were tested. Our results indicate that population structure could be inferred accurately once a certain SSR number threshold was reached, which depended on the underlying structure within the genotypes, but the method used to select the markers included on each set appeared not to be very relevant. The minimum number of SSRs required to provide robust structure inferences and adequate measurements of the differentiation, even when low differentiation levels exist within populations, was proved similar to that of the complete list of recommended markers for fingerprinting. When a SSR set size similar to the minimum marker sets recommended for fingerprinting it is used, only major divisions or moderate (FST>0.05) differentiation of the germplasm are detected.

Indexed as

Genome, PlantGenotypeMicrosatellite RepeatsAllelesBayes TheoremDNA, PlantGenetic VariationPyrusDNA, Plant

Identifiers

PMID26382618
PMCPMC4575082

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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.