Evidence map›Paper›PMID 37352204›Full record

ArticlePloS one2023

Identification of quantitative trait loci controlling soybean seed protein and oil content.

Elizabeth M Clevinger, Ruslan Biyashev, David Haak, Qijian Song, Guillaume Pilot, M A Saghai Maroof

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.9field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  6. Article
  7. Fine Mapping ofPlants (Basel, Switzerland) · 2025
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  8. Mainstreaming3 Biotech · 2025
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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

6 authors at 2 institutions in 1 country.

Elizabeth M ClevingerSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.
Ruslan BiyashevSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.
David HaakSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.ORCID 0000-0002-3692-3152
Qijian SongSoybean Genomics and Improvement Lab, United States Department of Agriculture-Agricultural Research Service, Beltsville, Maryland, United States of America.
Guillaume PilotSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.ORCID 0000-0001-7520-1059
M A Saghai MaroofSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.ORCID 0000-0002-1398-7110
Virginia Tech · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a major source of seed protein and oil globally with an average composition of 40% protein and 20% oil in the seed. The goal of this study was to identify quantitative trait loci (QTL) conferring seed protein and oil content utilizing a population constructed by crossing an above average protein content line, PI 399084 to another line that had a low protein content value, PI 507429, both from the USDA soybean germplasm collection. The recombinant inbred line (RIL) population, PI 507429 x PI 399084, was evaluated in two replications over four years (2018-2021); the seeds were analyzed for seed protein and oil content using near-infrared reflectance spectroscopy. The recombinant inbred lines and the two parents were re-sequenced using genotyping by sequencing. A total of 12,761 molecular markers, which came from genotyping by sequencing, the SoySNP6k BeadChip and selected simple sequence repeat (SSR) markers from known protein QTL chromosomal regions were used for mapping. One QTL was identified on chromosome 2 explaining up to 56.8% of the variation for seed protein content and up to 43% for seed oil content. Another QTL identified on chromosome 15 explained up to 27.2% of the variation for seed protein and up to 41% of the variation for seed oil content. The protein and oil QTLs of this study and their associated molecular markers will be useful in breeding to improve nutritional quality in soybean.

Indexed as

Quantitative Trait LociSoybean ProteinsChromosome MappingGlycine maxPlant BreedingPlant OilsSeedsPlant OilsSoybean Proteins

Identifiers

PMID37352204
PMCPMC10289428
OpenAlexW4381839593

What OpenQuestion holds

Textmetadata
LicenceCC0
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.