Evidence map›Paper›PMID 41006955›Full record

ReviewThe plant genome2025

Targets and strategies to design soybean seed composition traits.

Ritesh Kumar, Steven Mulkey, Rahul Mahadev Shelake, Rachel Combs-Giroir, Thiya Mukherjee, Doug K Allen, Tom Elmo Clemente, Minviluz G Stacey, Aaron J Lorenz, Robert M Stupar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

10 authors.

Ritesh KumarDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-2836-6181
Steven MulkeyDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-9150-6394
Rahul Mahadev ShelakeDivision of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju, Republic of Korea.ORCID https://orcid.org/0000-0003-0691-560X
Rachel Combs-GiroirDonald Danforth Plant Science Center, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-6626-0903
Thiya MukherjeeDepartment of Natural Sciences, Texas A&M University-San Antonio, San Antonio, Texas, USA.ORCID https://orcid.org/0000-0003-4053-4501
Doug K AllenDonald Danforth Plant Science Center, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-8599-8946
Tom Elmo ClementeDepartment of Agronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.ORCID https://orcid.org/0000-0003-3650-852X
Minviluz G StaceyDivision of Plant Sciences, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-3774-720X
Aaron J LorenzDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-4361-1683
Robert M StuparDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.ORCID https://orcid.org/0000-0002-8836-2924

Funding

Agricultural Research ServiceDonald Danforth Plant Science CenterMinnesota Agricultural Experiment Station MIN-13-134Minnesota Soybean Research and Promotion Council 10-16-15-24236Minnesota Soybean Research and Promotion Council 10-16-15-24372National Research Foundation of Korea RS-2020-NR049590National Research Foundation of Korea RS-2021-NR060105National Research Foundation of Korea RS-2021-NR066196National Research Foundation of Korea RS-2022-NR070609United Soybean Board 25-203-S-B-1-A
6 · The paper itself

Abstract

Breeders and geneticists have put great effort into enhancing soybean seed composition and developing elite varieties with desired traits. However, diverse end-uses and changing consumer preferences present new challenges and opportunities to develop desired compositional profiles for the market. Recent advances in genetics and novel technologies have allowed researchers to characterize genes impacting seed composition and provide a means for addressing these shifting consumer needs. Some of the desired compositional traits for soybean [Glycine max (L.) Merr.] include increased levels of protein, oil, sucrose, sulfur-containing amino acids, and omega-3 fatty acids, and reduced allergens, raffinose family oligosaccharides, or saponins. This comprehensive review considers the current status of key components of soybean seed composition and forecasts opportunities based on candidate genes/pathways that may be targeted to add seed value. The review addresses a holistic view on interactions between the genome, transcriptome, proteome, and epigenome, along with metabolic flux analysis to gain insights into biological underpinnings governing seed composition.

Indexed as

Glycine maxSeedsGenome, PlantTranscriptome

Identifiers

PMID41006955
PMCPMC12475100

What Socratic 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 Socratic graph.