Evidence map›Paper›PMID 28056769›Full record

ArticleBMC genomics2017

A genome-wide association study of seed composition traits in wild soybean (Glycine soja).

Larry J Leamy, Hengyou Zhang, Changbao Li, Charles Y Chen, Bao-Hua Song

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
23.3field-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

57 citing papers in PubMed, 154 citations in OpenAlex.

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  7. AlphaFold-Guided Bespoke Gene Editing Enhances Field-Grown Soybean Oil Contents.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  12. Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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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

5 authors at 3 institutions in 1 country.

Larry J LeamyDepartment of Biological Sciences, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Hengyou ZhangDepartment of Biological Sciences, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Changbao LiDouble Haploid Optimization Group, Monsanto Company, Chesterfield, MO, 63017, USA.
Charles Y ChenDepartment of Crop, Soil and Environmental Sciences, Auburn University, Auburn, AL, 36849, USA. cyc0002@auburn.edu.
Bao-Hua SongDepartment of Biological Sciences, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA. bsong5@uncc.edu.ORCID 0000-0003-3537-7783
University of North Carolina at Charlotte · USAuburn University · USMonsanto (United States) · US

Funding

Molecular basis and evolution of complex trait variation with significance in human healthR15GM122029 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI SONG, BAO-HUA · 2016 to 2016
$439k
NIGMS NIH HHS R15 GM122029
6 · The paper itself

Abstract

backgroundCultivated soybean (Glycine max) is a major agricultural crop that provides a crucial source of edible protein and oil. Decreased amounts of saturated palmitic acid and increased amounts of unsaturated oleic acid in soybean oil are considered optimal for human cardiovascular health and therefore there has considerable interest by breeders in discovering genes affecting the relative concentrations of these fatty acids. Using a genome-wide association (GWA) approach with nearly 30,000 single nucleotide polymorphisms (SNPs), we investigated the genetic basis of protein, oil and all five fatty acid levels in seeds from a sample of 570 wild soybeans (Glycine soja), the progenitor of domesticated soybean, to identify quantitative trait loci (QTLs) affecting these seed composition traits.

resultsWe discovered 29 SNPs located on ten different chromosomes that are significantly associated with the seven seed composition traits in our wild soybean sample. Eight SNPs co-localized with QTLs previously uncovered in linkage or association mapping studies conducted with cultivated soybean samples, while the remaining SNPs appeared to be in novel locations. Twenty-four of the SNPs significantly associated with fatty acid variation, with the majority located on chromosomes 14 (6 SNPs) and seven (8 SNPs). Two SNPs were common for two or more fatty acids, suggesting loci with pleiotropic effects. We also identified some candidate genes that are involved in fatty acid metabolism and regulation. For each of the seven traits, most of the SNPs produced differences between the average phenotypic values of the two homozygotes of about one-half standard deviation and contributed over 3% of their total variability.

conclusionsThis is the first GWA study conducted on seed composition traits solely in wild soybean populations, and a number of QTLs were found that have not been previously discovered. Some of these may be useful to breeders who select for increased protein/oil content or altered fatty acid ratios in the seeds. The results also provide additional insight into the genetic architecture of these traits in a large sample of wild soybean, and suggest some new candidate genes whose molecular effects on these traits need to be further studied.

Indexed as

Genome, PlantGenome-Wide Association StudyQuantitative Trait, HeritableChromosome MappingChromosomes, PlantGenes, PlantGenotypeGlycine maxLinkage DisequilibriumPolymorphism, Single NucleotideSeedsCandidate genesFatty acidsGWASOilProteinQuantitative trait loci

Identifiers

PMID28056769
PMCPMC5217241
OpenAlexW2570989112

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LicenceCC BY
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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.