Evidence map›Paper›PMID 28801731›Full record

ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Molecular mapping and genomics of soybean seed protein: a review and perspective for the future.

Gunvant Patil, Rouf Mian, Tri Vuong, Vince Pantalone, Qijian Song, Pengyin Chen, Grover J Shannon, Tommy C Carter, Henry T Nguyen

Open access · hybridAbstract readReview
In one paragraph

Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
29.9field-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

103 citing papers in PubMed, 254 citations in OpenAlex.

  1. High-resolution GWAS and diagnostic functional marker development for leaf shape in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Review
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  17. Fine Mapping ofPlants (Basel, Switzerland) · 2025
    Article
  18. Genetic mapping of novel QTL for seed protein stability in food-grade soybean (Glycine max).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  19. A natural allele ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. GmSop20 Functions as a Key Coordinator of the Oil-To-Protein Ratio in Soybean Seeds.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

43 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 1 country.

Gunvant PatilDivision of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA.
Rouf MianSoybean and Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, 27607, USA. rouf.mian@ars.usda.gov.
Tri VuongDivision of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA.
Vince PantaloneDepartment of Plant Sciences, University of Tennessee, Knoxville, TN, 37996-4561, USA.
Qijian SongAgricultural Research Service, Department of Agriculture United States, Beltsville, MD, 20705, USA.
Pengyin ChenDivision of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA.
Grover J ShannonDivision of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA.
Tommy C CarterSoybean and Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, 27607, USA.
Henry T NguyenDivision of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA. nguyenhenry@missouri.edu.
University of Missouri · USAgricultural Research Service · USUniversity of Tennessee at Knoxville · US

Funding

United Soybean Board 1720-152-0106
6 · The paper itself

Abstract

key messageGenetic improvement of soybean protein meal is a complex process because of negative correlation with oil, yield, and temperature. This review describes the progress in mapping and genomics, identifies knowledge gaps, and highlights the need of integrated approaches. Meal protein derived from soybean [Glycine max (L) Merr.] seed is the primary source of protein in poultry and livestock feed. Protein is a key factor that determines the nutritional and economical value of soybean. Genetic improvement of soybean seed protein content is highly desirable, and major quantitative trait loci (QTL) for soybean protein have been detected and repeatedly mapped on chromosomes (Chr.) 20 (LG-I), and 15 (LG-E). However, practical breeding progress is challenging because of seed protein content's negative genetic correlation with seed yield, other seed components such as oil and sucrose, and interaction with environmental effects such as temperature during seed development. In this review, we discuss rate-limiting factors related to soybean protein content and nutritional quality, and potential control factors regulating seed storage protein. In addition, we describe advances in next-generation sequencing technologies for precise detection of natural variants and their integration with conventional and high-throughput genotyping technologies. A syntenic analysis of QTL on Chr. 15 and 20 was performed. Finally, we discuss comprehensive approaches for integrating protein and amino acid QTL, genome-wide association studies, whole-genome resequencing, and transcriptome data to accelerate identification of genomic hot spots for allele introgression and soybean meal protein improvement.

Indexed as

Chromosome MappingGenomicsGlycine maxPlant BreedingQuantitative Trait LociSeedsSoybean ProteinsSoybean Proteins

Identifiers

PMID28801731
PMCPMC5606949
OpenAlexW2742340557

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.