Evidence map›Paper›PMID 31234445›Full record

ArticleInternational journal of molecular sciences2019

Dissecting the Genetic Architecture of Seed Protein and Oil Content in Soybean from the Yangtze and Huaihe River Valleys Using Multi-Locus Genome-Wide Association Studies.

Shuguang Li, Haifeng Xu, Jiayin Yang, Tuanjie Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. 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
9.6field-weighted citation impact, top 2% 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, 40 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

4 authors at 1 institution in 1 country.

Shuguang LiHuaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu/Huai'an Key Laboratory for Agricultural Biotechnology, Huai'an 223001, China. dawn0524@126.com.
Haifeng XuHuaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu/Huai'an Key Laboratory for Agricultural Biotechnology, Huai'an 223001, China. hanksxhf@163.com.
Jiayin YangHuaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu/Huai'an Key Laboratory for Agricultural Biotechnology, Huai'an 223001, China. hynksyjy@163.com.
Tuanjie ZhaoSoybean research institution, National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China. tjzhao@njau.edu.cn.
Nanjing Agricultural University · CN

Funding

Dean's Foundation of Huai'an Academy of Agricultural Sciences HNY201501, HNY201703Jiangsu Collaborative Innovation Center for Modern Crop Production (JCIC-MCP) Program NANational Natural Science Foundation of China 31571695Natural Science Foundation of Jiangsu Province BK20151285Natural Science Research Program of Huai'an, China HAB201846open funds of the State Key Laboratory of Crop Genetics and Germplasm Enhancement ZW201713
6 · The paper itself

Abstract

Soybean is a globally important legume crop that provides a primary source of high-quality vegetable protein and oil. Seed protein and oil content are two valuable quality traits controlled by multiple genes in soybean. In this study, the restricted two-stage multi-locus genome-wide association analysis (RTM-GWAS) procedure was performed to dissect the genetic architecture of seed protein and oil content in a diverse panel of 279 soybean accessions from the Yangtze and Huaihe River Valleys in China. We identified 26 quantitative trait loci (QTLs) for seed protein content and 23 for seed oil content, including five associated with both traits. Among these, 39 QTLs corresponded to previously reported QTLs, whereas 10 loci were novel. As reported previously, the QTL on chromosome 20 was associated with both seed protein and oil content. This QTL exhibited opposing effects on these traits and contributed the most to phenotype variation. From the detected QTLs, 55 and 51 candidate genes were identified for seed protein and oil content, respectively. Among these genes, eight may be promising candidate genes for improving soybean nutritional quality. These results will facilitate marker-assisted selective breeding for soybean protein and oil content traits.

Indexed as

Genome, PlantGenome-Wide Association StudyGlycine maxPlant OilsPolymorphism, Single NucleotideQuantitative Trait LociSeedsSeed Storage ProteinsSoybean ProteinsPlant OilsSeed Storage ProteinsSoybean Proteinsgenome-wide association studyseed oil contentseed protein contentsoybean

Identifiers

PMID31234445
PMCPMC6628128
OpenAlexW2950613168

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.