Evidence map›Paper›PMID 31245681›Full record

ArticlePlant direct2018

Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections.

Greg Ziegler, Randall Nelson, Stephanie Granada, Hari B Krishnan, Jason D Gillman, Ivan Baxter

Open access · goldAbstract read
In one paragraph

Article in Plant direct, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. An atlas of plant selenium metabolism.The New phytologist · 2026
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  5. Article
  6. Article
  7. Article
  8. Review
  9. International journal of molecular sciences · 2021
    Review
  10. Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  11. Ionomic Approaches for Discovery of Novel Stress-Resilient Genes in Plants.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors at 3 institutions in 1 country.

Greg ZieglerUSDA-ARS Plant Genetics Research Unit St. Louis MO USA.
Randall NelsonSoybean/Maize Germplasm, Pathology and Genetics Research Unit and Department of Crop Sciences USDA-ARS University of Illinois Urbana IL USA.
Stephanie GranadaDonald Danforth Plant Science Center St. Louis MO USA.
Hari B KrishnanUSDA-ARS Plant Genetics Research Unit Columbia MO USA.
Jason D GillmanUSDA-ARS Plant Genetics Research Unit Columbia MO USA.
Ivan BaxterUSDA-ARS Plant Genetics Research Unit St. Louis MO USA.
Agricultural Research Service · USDonald Danforth Plant Science Center · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elemental content of a soybean seed is a determined by both genetic and environmental factors and is an important component of its nutritional value. The elemental content is chemically stable, making the samples stored in germplasm repositories an intriguing source of experimental material. To test the efficacy of using samples from germplasm banks for gene discovery, we analyzed the elemental profile of seeds from 1,653 lines in the USDA Soybean Germplasm Collection. We observed large differences in the elemental profiles based on where the lines were grown, which lead us to break up the genetic analysis into multiple small experiments. Despite these challenges, we were able to identify candidate single nucleotide polymorphisms (SNPs) controlling elemental accumulation as well as lines with extreme elemental accumulation phenotypes. Our results suggest that elemental analysis of germplasm samples can identify SNPs in linkage disequilibrium to genes, which can be leveraged to assist in crop improvement efforts.

Indexed as

diversity panelGRINGWASionomicsmulti‐locus mixed modelsoybean

Identifiers

PMID31245681
PMCPMC6508489
OpenAlexW2950236646

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.