Evidence map›Paper›PMID 28558696›Full record

ArticleBMC genomics2017

In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping.

Paula A M R Valdisser, Wendell J Pereira, Jâneo E Almeida Filho, Bárbara S F Müller, Gesimária R C Coelho, Ivandilson P P de Menezes, João P G Vianna, Maria I Zucchi, Anna C Lanna, Alexandre S G Coelho and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

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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

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

42 citing papers in PubMed.

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  6. Sampling strategies for genotyping common bean (Frontiers in plant science · 2024
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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

14 authors.

Paula A M R ValdisserEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Wendell J PereiraPrograma de Pós-Graduação em Biologia Molecular, Universidade de Brasília (UnB), Brasília, DF, Brazil.
Jâneo E Almeida FilhoUniversidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, Rio de Janeiro, RJ, Brazil.
Bárbara S F MüllerPrograma de Pós-Graduação em Biologia Molecular, Universidade de Brasília (UnB), Brasília, DF, Brazil.
Gesimária R C CoelhoEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Ivandilson P P de MenezesLaboratório de Genética e Biologia Molecular, Departamento de Biologia, Instituto Federal Goiano (IF Goiano), Urutaí, GO, Brazil.
João P G ViannaPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
Maria I ZucchiPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
Anna C LannaEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Alexandre S G CoelhoEscola de Agronomia, Universidade Federal de Goiás (UFG), Goiânia, GO, Brazil.
Jaison P de OliveiraEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Alessandra da Cunha MoraesEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Claudio BrondaniEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil.
Rosana P VianelloEmbrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO, Brazil. rosana.vianello@embrapa.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommon bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs.

resultsUsing this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56.7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average H

conclusionsFor common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches.

Indexed as

GenomicsGenotyping TechniquesPolymorphism, Single NucleotideGenetic LociGenome, PlantLinkage DisequilibriumPhaseolusRainTemperatureDiversity analysisDiversity arrays technologyLinkage disequilibriumLoci under selectionPhaseolus vulgaris L

Identifiers

PMID28558696
PMCPMC5450071

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LicenceCC BY
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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.