Evidence map›Paper›PMID 28630621›Full record

ArticleInternational journal of plant genomics2017

Development of SNP Genotyping Assays for Seed Composition Traits in Soybean.

Gunvant Patil, Juhi Chaudhary, Tri D Vuong, Brian Jenkins, Dan Qiu, Suhas Kadam, Grover J Shannon, Henry T Nguyen

Open access · hybridAbstract read
In one paragraph

Article in International journal of plant genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
12.7field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Association Mapping of Seedling Resistance toPlants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Comprehensive Evaluation and DNA Fingerprints ofPlants (Basel, Switzerland) · 2025
    Article
  4. QTL mapping and multi-omics identify candidate genes for protein and oil in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Needle and Branch Trait Variation Analysis and Associated SNP Loci Mining inInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Genetic mapping and functional genomics of soybean seed protein.Molecular breeding : new strategies in plant improvement · 2023
    Article
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  10. Article
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  19. Molecular mapping and genomics of soybean seed protein: a review and perspective for the future.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Review
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

8 authors at 2 institutions in 1 country.

Gunvant PatilDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Juhi ChaudharyDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Tri D VuongDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Brian JenkinsDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Dan QiuDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Suhas KadamDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Grover J ShannonDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.
Henry T NguyenDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-7597-1800
University of Missouri · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed composition is one of the most important determinants of the economic values in soybean. The quality and quantity of different seed components, such as oil, protein, and carbohydrates, are crucial ingredients in food, feed, and numerous industrial products. Soybean researchers have successfully developed and utilized a diverse set of molecular markers for seed trait improvement in soybean breeding programs. It is imperative to design and develop molecular assays that are accurate, robust, high-throughput, cost-effective, and available on a common genotyping platform. In the present study, we developed and validated KASP (Kompetitive allele-specific polymerase chain reaction) genotyping assays based on previously known functional mutant alleles for the seed composition traits, including fatty acids, oligosaccharides, trypsin inhibitor, and lipoxygenase. These assays were validated on mutant sources as well as mapping populations and precisely distinguish the homozygotes and heterozygotes of the mutant genes. With the obvious advantages, newly developed KASP assays in this study can substitute the genotyping assays that were previously developed for marker-assisted selection (MAS). The functional gene-based assay resource developed using common genotyping platform will be helpful to accelerate efforts to improve soybean seed composition traits.

Identifiers

PMID28630621
PMCPMC5463095
OpenAlexW2616988133

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.