Evidence map›Paper›PMID 36744727›Full record

ArticleThe plant genome2023

Genetic architecture of protein and oil content in soybean seed and meal.

Brian W Diers, James E Specht, George L Graef, Qijian Song, Katy Martin Rainey, Vishnu Ramasubramanian, Xiaotong Liu, Chad L Myers, Robert M Stupar, Yong-Qiang Charles An and 1 more

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 7 institutions in 1 country.

Brian W DiersDepartment of Crop Sciences, University of Illinois, Urbana, IL, USA.ORCID 0000-0003-3584-5495
James E SpechtDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
George L GraefDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.ORCID 0000-0002-7234-0421
Qijian SongSoybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
Katy Martin RaineyDepartment of Agronomy, Purdue University, West Lafayette, IN, USA.
Vishnu RamasubramanianDepartment of Agronomy, Iowa State University, Ames, IA, USA.ORCID 0000-0002-9778-6462
Xiaotong LiuBioinformatics and Computational Biology Graduate Program, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Chad L MyersDepartment of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Robert M StuparDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA.ORCID 0000-0002-8836-2924
Yong-Qiang Charles AnUSDA-ARS Plant Genetic Research Unit at Donald Danforth Plant Science Center, St. Louis, MO, USA.
William D BeavisDepartment of Agronomy, Iowa State University, Ames, IA, USA.
University of Minnesota · USIowa State University · USUniversity of Nebraska–Lincoln · USAgricultural Research Service · USDonald Danforth Plant Science Center · USPurdue University West Lafayette · USUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is grown primarily for the protein and oil extracted from its seed and its value is influenced by these components. The objective of this study was to map marker-trait associations (MTAs) for the concentration of seed protein, oil, and meal protein using the soybean nested association mapping (SoyNAM) population. The composition traits were evaluated on seed harvested from over 5000 inbred lines of the SoyNAM population grown in 10 field locations across 3 years. Estimated heritabilities were at least 0.85 for all three traits. The genotyping of lines with single nucleotide polymorphism markers resulted in the identification of 107 MTAs for the three traits. When MTAs for the three traits that mapped within 5 cM intervals were binned together, the MTAs were mapped to 64 intervals on 19 of the 20 soybean chromosomes. The majority of the MTA effects were small and of the 107 MTAs, 37 were for protein content, 39 for meal protein, and 31 for oil content. For cases where a protein and oil MTAs mapped to the same interval, most (94%) significant effects were opposite for the two traits, consistent with the negative correlation between these traits. A coexpression analysis identified candidate genes linked to MTAs and 18 candidate genes were identified. The large number of small effect MTAs for the composition traits suggest that genomic prediction would be more effective in improving these traits than marker-assisted selection.

Indexed as

Glycine maxQuantitative Trait LociChromosome MappingGenome, PlantSeeds

Identifiers

PMID36744727
PMCPMC12807260
OpenAlexW4319294478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.