Evidence map›Paper›PMID 25943521›Full record

ArticleG3 (Bethesda, Md.)2015

Identification of QTLs for Rust Resistance in the Peanut Wild Species Arachis magna and the Development of KASP Markers for Marker-Assisted Selection.

Soraya C M Leal-Bertioli, Uiara Cavalcante, Ediene G Gouvea, Carolina Ballén-Taborda, Kenta Shirasawa, Patrícia M Guimarães, Scott A Jackson, David J Bertioli, Márcio C Moretzsohn

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.2field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  10. Frontiers in plant science · 2022
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  14. Comparison ofAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
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  17. Genetics, genomics and breeding of groundnut (Plant breeding = Zeitschrift fur Pflanzenzuchtung · 2019
    Review
  18. Article
  19. Article
  20. Article
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

9 authors at 5 institutions in 3 countries.

Soraya C M Leal-BertioliEmbrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil, Center for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602-6810 soraya.bertioli@embrapa.br.
Uiara CavalcanteEmbrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil, University of Brasília, Institute of Biological Sciences, Campus Darcy Ribeiro, 70910-900 Brasília, DF, Brazil.
Ediene G GouveaEmbrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil, University of Brasília, Institute of Biological Sciences, Campus Darcy Ribeiro, 70910-900 Brasília, DF, Brazil.
Carolina Ballén-TabordaCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602-6810.
Kenta ShirasawaKazusa DNA Research Institute, Kisarazu, Chiba, 292-0818, Japan.
Patrícia M GuimarãesEmbrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil.
Scott A JacksonCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602-6810.
David J BertioliCenter for Applied Genetic Technologies, University of Georgia, Athens, Georgia 30602-6810 University of Brasília, Institute of Biological Sciences, Campus Darcy Ribeiro, 70910-900 Brasília, DF, Brazil.
Márcio C MoretzsohnEmbrapa Genetic Resources and Biotechnology, 70770-917 Brasília, DF, Brazil.
Brazilian Agricultural Research Corporation · BRApplied Genetic Technologies (United States) · USUniversidade de Brasília · BRKazusa DNA Research Institute · JPUniversity of Georgia · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
NCATS NIH HHS UL1 TR001082
6 · The paper itself

Abstract

Rust is a major pathogen of the peanut crop. Development and adoption of rust-resistant cultivars is the most cost efficient and effective way to control the spread of the disease and reduce yield losses. Some cultivated peanut germplasm accessions have a degree of resistance, but the secondary gene pool is a source of much stronger resistance alleles. Wild species, however, have undesirable agronomic traits that are a disincentive to their use in breeding. The identification of genomic regions that harbor disease resistance in wild species is the first step in the implementation of marker-assisted selection that can speed the introgression of wild disease resistances and the elimination of linkage drag. In this work, we identify genome regions that control different components of rust resistance in a recombinant inbred line population developed from a cross between two Arachis species, the susceptible most probable B genome ancestor of cultivated peanut, Arachis ipaënsis, and an accession of its closest relative, Arachis magna, which is resistant to rust. Quantitative trait loci for several components of resistance were placed in the same position on linkage group B08. Single-nucleotide polymorphism Kompetitive allele-specific polymerase chain reaction markers for rust resistance region were designed and validated for marker function in both diploid and tetraploid contexts.

Indexed as

Genome, PlantQuantitative Trait LociAllelesArachisBase SequenceBreedingChromosome MappingDisease ResistanceDNA, PlantGenetic LinkageGenetic MarkersMicrosatellite RepeatsPhenotypePolymorphism, Single NucleotideSequence Analysis, DNASpecies SpecificityDNA, PlantGenetic MarkersArachismarker-assisted selectionmolecular breedingpeanutrust

Identifiers

PMID25943521
PMCPMC4502374
OpenAlexW2166506395

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.