Evidence map›Paper›PMID 27515508›Full record

ArticleBMC genomics2016

Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea.

Rhiannon Schneider, William Rolling, Qijian Song, Perry Cregan, Anne E Dorrance, Leah K McHale

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
16.4field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  4. Genome-Wide Association Study for Resistance toPlants (Basel, Switzerland) · 2024
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  10. Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  11. Genome-Wide Association Study of Partial Resistance toCurrent issues in molecular biology · 2022
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  12. Article
  13. Article
  14. Article
  15. Review
  16. Molecular mapping of quantitative disease resistance loci for soybean partial resistance to Phytophthora sansomeana.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  17. 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 at 3 institutions in 1 country.

Rhiannon SchneiderDepartment of Horticulture and Crop Science, The Ohio State University, Columbus, OH, 43210, USA.
William RollingCenter for Applied Plant Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Qijian SongUS Department of Agriculture, Soybean Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA.
Perry CreganUS Department of Agriculture, Soybean Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD, 20705, USA.
Anne E DorranceCenter for Applied Plant Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Leah K McHaleDepartment of Horticulture and Crop Science, The Ohio State University, Columbus, OH, 43210, USA. mchale.21@osu.edu.
The Ohio State University · USAgricultural Research Service · USPioneer Hi-Bred · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhytophthora root and stem rot is one of the most yield-limiting diseases of soybean [Glycine max (L.) Merr], caused by the oomycete Phytophthora sojae. Partial resistance is controlled by several genes and, compared to single gene (Rps gene) resistance to P. sojae, places less selection pressure on P. sojae populations. Thus, partial resistance provides a more durable resistance against the pathogen. In previous work, plant introductions (PIs) originating from the Republic of Korea (S. Korea) have shown to be excellent sources for high levels of partial resistance against P. sojae.

resultsResistance to two highly virulent P. sojae isolates was assessed in 1395 PIs from S. Korea via a greenhouse layer test. Lines exhibiting possible Rps gene immunity or rot due to other pathogens were removed and the remaining 800 lines were used to identify regions of quantitative resistance using genome-wide association mapping. Sixteen SNP markers on chromosomes 3, 13 and 19 were significantly associated with partial resistance to P. sojae and were grouped into seven quantitative trait loci (QTL) by linkage disequilibrium blocks. Two QTL on chromosome 3 and three QTL on chromosome 19 represent possible novel loci for partial resistance to P. sojae. While candidate genes at QTL varied in their predicted functions, the coincidence of QTLs 3-2 and 13-1 on chromosomes 3 and 13, respectively, with Rps genes and resistance gene analogs provided support for the hypothesized mechanism of partial resistance involving weak R-genes.

conclusionsQTL contributing to partial resistance towards P. sojae in soybean germplasm originating from S. Korea were identified. The QTL identified in this study coincide with previously reported QTL, Rps genes, as well as novel loci for partial resistance. Molecular markers associated with these QTL can be used in the marker-assisted introgression of these alleles into elite cultivars. Annotations of genes within QTL allow hypotheses on the possible mechanisms of partial resistance to P. sojae.

Indexed as

Genome, PlantChromosome MappingChromosomes, PlantDisease ResistanceGenes, PlantGenome-Wide Association StudyGlycine maxIntroduced SpeciesLinkage DisequilibriumPhytophthoraPlant DiseasesPlant ImmunityPlant RootsPlant StemsQuantitative Trait LociRepublic of KoreaGlycine maxGWASHaplotypeLinkage disequilibriumPartial resistancePhytophthora sojaeSingle nucleotide polymorphism

Identifiers

PMID27515508
PMCPMC4982113
OpenAlexW2515138276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.