Evidence map›Paper›PMID 33200586›Full record

ArticleThe plant genome2021

Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean.

Kyujung Van, William Rolling, Ruslan M Biyashev, Rashelle L Matthiesen, Nilwala S Abeysekara, Alison E Robertson, Deloris J Veney, Anne E Dorrance, Leah K McHale, M A Saghai Maroof

Abstract read
In one paragraph

Article in The plant genome, 2021. 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

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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Comparison ofFrontiers in plant science · 2024
    Article
  4. Article
  5. Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  6. Genome-Wide Association Study of Partial Resistance toCurrent issues in molecular biology · 2022
    Article
  7. Article
  8. Review
  9. Molecular mechanisms ofFrontiers in microbiology · 2022
    Review
  10. Review
  11. Article
  12. 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

10 authors.

Kyujung VanDepartment of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA.ORCID 0000-0002-7135-336X
William RollingCenter for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA.ORCID 0000-0001-6893-9872
Ruslan M BiyashevSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
Rashelle L MatthiesenDepartment of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA.
Nilwala S AbeysekaraDepartment of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA.
Alison E RobertsonDepartment of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA.ORCID 0000-0003-4281-6350
Deloris J VeneyDepartment of Plant Pathology, Ohio State University, Wooster, OH, 44691, USA.
Anne E DorranceCenter for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA.ORCID 0000-0003-4138-6707
Leah K McHaleDepartment of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA.ORCID 0000-0003-1028-2315
M A Saghai MaroofSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.ORCID 0000-0002-1398-7110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5-16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5-16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.

Indexed as

PhytophthoraDisease ResistanceGenome-Wide Association StudyGlycine maxPlant Diseases

Identifiers

PMID33200586
PMCPMC12807226

What OpenQuestion holds

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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.