Evidence map›Paper›PMID 39034885›Full record

ArticleThe plant genome2024

Development and implementation of nested single-nucleotide polymorphism (SNP) assays for breeding and genetic research applications.

Qijian Song, Charles Quigley, Ruifeng He, Dechun Wang, Henry Nguyen, Carrie Miranda, Zenglu Li

Abstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Identifying canopy wilting QTLs and evaluating remote sensing approaches for selecting drought-tolerant soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Qijian SongUSDA-ARS, Soybean Genomics & Improvement Laboratory, Beltsville, Maryland, USA.ORCID https://orcid.org/0000-0001-5103-4954
Charles QuigleyUSDA-ARS, Soybean Genomics & Improvement Laboratory, Beltsville, Maryland, USA.
Ruifeng HeUSDA-ARS, Soybean Genomics & Improvement Laboratory, Beltsville, Maryland, USA.
Dechun WangDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.
Henry NguyenMolecular Genetics and Soybean Genomics Laboratory, Division of Plant Science and Technology, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-7597-1800
Carrie MirandaDepartment of Plant Sciences, North Dakota State University, Fargo, North Dakota, USA.
Zenglu LiInstitute of Plant Breeding, Genetics and Genomics/Department of Crop and Soil Sciences, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0003-4114-9509

Funding

USDA-ARS CRIS Project 8042-21000-304-00D
6 · The paper itself

Abstract

SoySNP50K and SoySNP6K are commonly used for soybean (Glycine max) genotyping. The SoySNP50K assay has been used to genetically analyze the entire USDA Soybean Germplasm Collection, while the SoySNP6K assay, containing a subset of 6000 single-nucleotide polymorphisms (SNPs) from SoySNP50K, has been used for quantitative trait loci mapping of different traits. To meet the needs for genomic selection, selection of parents for crosses, and characterization of breeding populations, especially early selection of ideal offspring from thousands of lines, we developed two assays, SoySNP3K and SoySNP1K, containing 3072 and 1252 SNPs, respectively, based on SoySNP50K and SoySNP6K mark sets. These two assays also contained the trait markers reported or contributed by soybean breeders. The SNPs in the SoySNP3K are a subset from SoySNP6K, while the SNPs in the SoySNP1K are a subset from SoySNP3K. These SNPs were chosen to reduce the SNP number in the large linkage blocks while capturing as much of the haplotype diversity as possible. They are highly polymorphic and of high quality. The mean minor allele frequencies of the SNPs in the southern and northern US elites were 0.25 and 0.27 for SoySNP3K, respectively, and 0.29 and 0.33 for SoySNP1K. The selected SNPs are a valuable source for developing targeted amplicon sequencing assay or beadchip assay in soybean. SoySNP3K and SoySNP1K assays are commercialized by Illumina Inc. and AgriPlex Genomics, respectively. Together with SoySNP50K and SoySNP6K, a series of nested assays with different marker densities will serve as additional low-cost genomic tools for genetic, genomic, and breeding research.

Indexed as

Glycine maxPlant BreedingPolymorphism, Single NucleotideGenotypeQuantitative Trait Loci

Identifiers

PMID39034885
PMCPMC12807062

What OpenQuestion holds

Textmetadata
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.