Evidence map›Paper›PMID 28698580›Full record

ArticleScientific reports2017

The genetic architecture of water-soluble protein content and its genetic relationship to total protein content in soybean.

Dan Zhang, Haiyan Lü, Shanshan Chu, Huairen Zhang, Hengyou Zhang, Yuming Yang, Hongyan Li, Deyue Yu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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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

21 citing papers in PubMed.

  1. Circular RNAs: key regulators in cancer stem cell dynamics.Molecular genetics and genomics : MGG · 2026
    Review
  2. Article
  3. QTL mapping and multi-omics identify candidate genes for protein and oil in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  9. Soybean genetic resources contributing to sustainable protein production.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
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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

8 authors.

Dan ZhangCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China. zhangd@henau.edu.cn.
Haiyan LüCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Shanshan ChuCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Huairen ZhangThe Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences, Beijing, 100101, China.
Hengyou ZhangDepartment of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Yuming YangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
Hongyan LiCollaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
Deyue YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China. dyyu@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water-soluble protein content (WSPC) is a critical factor in both soybean protein quality and functionality. However, the underlying genetic determinants are unclear. Here, we used 219 soybean accessions and 152 recombinant inbred lines genotyped with high-density markers and phenotyped in multi-environments to dissect the genetic architectures of WSPC and protein content (PC) using single- and multi-locus genome-wide association studies. In the result, a total of 32 significant loci, including 10 novel loci, significantly associated with WSPC and PC across multi-environments were identified, which were subsequently validated by linkage mapping. Among these loci, only four exhibited pleiotropic effects for PC and WSPC, explaining the low correlation coefficient between the two traits. The largest-effect WSPC-specific loci, GqWSPC8, was stably identified across all six environments and tagged to a linkage disequilibrium block comprising two promising candidate genes AAP8 and 2 S albumin, which might contribute to the high level of WSPC in some soybean varieties. In addition, two genes, Glyma.13G123500 and Glyma.13G194400 with relatively high expression levels at seed development stage compared with other tissues were regarded as promising candidates associated with the PC and WSPC, respectively. Our results provide new insights into the genetic basis of WSPC affecting soybean protein quality and yield.

Indexed as

Chromosome MappingEpistasis, GeneticGenome, PlantGenome-Wide Association StudyGlycine maxLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSolubilitySoybean ProteinsWaterSoybean ProteinsWater

Identifiers

PMID28698580
PMCPMC5506034

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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.