Evidence map›Paper›PMID 33058418›Full record

ArticleThe plant genome2020

Genome-wide association analysis of sucrose concentration in soybean (Glycine max L.) seed based on high-throughput sequencing.

Meinan Sui, Yue Wang, Yuyue Bao, Xi Wang, Ruiqiong Li, Yan Lv, Ming Yan, Chao Quan, Chunxia Li, Weili Teng and 3 more

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Genetic analysis of sucrose concentration in soybean seeds using a historical soybean genomic panel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
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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

13 authors at 1 institution in 1 country.

Meinan SuiKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Yue WangKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Yuyue BaoKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Xi WangKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Ruiqiong LiKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Yan LvKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Ming YanKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Chao QuanKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Chunxia LiKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Weili TengKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Wenbin LiKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Xue ZhaoKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Yingpeng HanKey Laboratory of Soybean Biology and Breeding/Genetics, Chinese Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.ORCID 0000-0002-9829-6588
Northeast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sucrose concentration in soybean seed significantly affects the flavor of soybean-derived products. In this study, an association panel of 178 elite accessions and 33,149 single-nucleotide polymorphisms (SNPs) was utilized to identify quantitative trait nucleotides (QTNs) of sucrose concentration in soybean seeds by genome-wide association study (GWAS). Five QTNs (rs2688589, rs29026218, rs5926884, rs6886889, and rs10299216) distributed across five genomic regions in five chromosomes were identified in two or more locations by GWAS. A total of 60 candidate genes near the 200-kb flanking region of these five identified loci were identified. Three of these genes (Glyma.04G032600, Glyma.04G034600, and Glyma.11G092100) have been reported to be involved in the process of sugar biosynthesis. Based on gene-based association and haplotype analyses, a total of 35 SNPs from 10 genes associated with sucrose concentration were identified. Of them, Glyma.04G032600 was the only gene that has been reported to be related to sucrose content; the other nine genes were novel and may be associated with sucrose content. These beneficial alleles and candidate genes may be of great value in improving sucrose content in soybean seeds.

Indexed as

Genome-Wide Association StudyGlycine maxHigh-Throughput Nucleotide SequencingLinkage DisequilibriumQuantitative Trait LociSeedsSucroseSucrose

Identifiers

PMID33058418
PMCPMC12807414
OpenAlexW3092764926

What OpenQuestion 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 OpenQuestion graph.