Evidence map›Paper›PMID 25983627›Full record

ArticleGenetics and molecular biology2015

Developing a common bean core collection suitable for association mapping studies.

Juliana Morini Küpper Cardoso Perseguini, Gliciane Micaele Borges Silva, João Ricardo Bachega Feijó Rosa, Rodrigo Gazaffi, Jéssica Fernanda Marçal, Sérgio Augusto Morais Carbonell, Alisson Fernando Chiorato, Maria Imaculada Zucchi, Antonio Augusto Franco Garcia, Luciana Lasry Benchimol-Reis

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

10 authors.

Juliana Morini Küpper Cardoso PerseguiniDepartamento de Genética e Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil . ; Centro de Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, SP, Brazil .
Gliciane Micaele Borges SilvaCentro de Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, SP, Brazil .
João Ricardo Bachega Feijó RosaDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Piracicaba, SP, Brazil .
Rodrigo GazaffiDepartamento de Biotecnologia Vegetal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Araras, SP, Brazil .
Jéssica Fernanda MarçalCentro de Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, SP, Brazil .
Sérgio Augusto Morais CarbonellCentro de Grãos e Fibras, Instituto Agronômico de Campinas, Campinas, SP, Brazil.
Alisson Fernando ChioratoCentro de Grãos e Fibras, Instituto Agronômico de Campinas, Campinas, SP, Brazil.
Maria Imaculada ZucchiAgência Paulista de Tecnologia dos Agronegócios, Centro de Desenvolvimento Tecnológico, Instituto Agronômico, Campinas, SP, Brazil .
Antonio Augusto Franco GarciaDepartamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Piracicaba, SP, Brazil .
Luciana Lasry Benchimol-ReisDepartamento de Genética e Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, SP, Brazil . ; Centro de Recursos Genéticos Vegetais, Instituto Agronômico de Campinas, Campinas, SP, Brazil .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the continuous introduction of germplasm from abroad, some collections have a high number of accessions, making it difficult to explore the genetic variability present in a germplasm bank for conservation and breeding purposes. Therefore, the aim of this study was to quantify and analyze the structure of genetic variability among 500 common bean accessions to construct a core collection. A total of 58 SSRs were used for this purpose. The polymorphism information content (PIC) in the 180 common bean accessions selected to compose the core collection ranged from 0.17 to 0.86, and the discriminatory power (DP) ranged from 0.21 to 0.90. The 500 accessions were clustered into 15 distinct groups and the 180 accessions into four distinct groups in the Structure analysis. According to analysis of molecular variance, the most divergent accessions comprised 97.2% of the observed genetic variability present within the base collection, confirming the efficiency of the selection criterion. The 180 selected accessions will be used for association mapping in future studies and could be potentially used by breeders to direct new crosses and generate elite cultivars that meet current and future global market needs.

Indexed as

genetic diversitygenetic structuremicrosatellitesmolecular markersPhaseolus vulgaris L

Identifiers

PMID25983627
PMCPMC4415564

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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.