Evidence map›Paper›PMID 37805454›Full record

ArticleBMC genomics2023

Genome-wide association study and high-quality gene mining related to soybean protein and fat.

Qi Zhang, Tingting Sun, Jiabao Wang, JianBo Fei, Yufu Liu, Lu Liu, Peiwu Wang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 13 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

7 authors at 3 institutions in 1 country.

Qi ZhangJilin Agricultural University, Changchun, China.
Tingting SunJilin Agricultural University, Changchun, China.
Jiabao WangJilin Agricultural University, Changchun, China.
JianBo FeiJiLin Agricultural Science and Technology University, Jilin, China.
Yufu LiuJilin Provincial Seed Management Station, Jilin, China.
Lu LiuJilin Agricultural University, Changchun, China.
Peiwu WangJilin Agricultural University, Changchun, China. peiwuw@163.com.
Jilin Agricultural University · CNHealth Commission of Jilin Province · CNJilin Agricultural Science and Technology University · CN

Funding

Ji lin Province Major Science and Technology Innovation Project 20210302002NC
6 · The paper itself

Abstract

backgroundSoybean is one of the most important oil crops in the world, and its protein and fat are the primary sources of edible oil and vegetable protein. The effective components in soybean protein and fat have positive effects on improving human immunity, anti-tumor, and regulating blood lipids and metabolism. Therefore, increasing the contents of protein and fat in soybeans is essential for improving the quality of soybeans.

resultsThis study selected 292 soybean lines from different regions as experimental materials, based on SLAF-seq sequencing technology, and performed genome-wide association study (GWAS) on the phenotype data from 2019-2021 Planted at the experimental base of Jilin Agricultural University, such as the contents of protein and fat of soybeans. Through the GLM model and MLM model, four SNP sites (Gm09_39012959, Gm12_35492373, Gm16_9297124, and Gm20_24678362) that were significantly related to soybean fat content were associated for three consecutive years, and two SNP sites (Gm09_39012959 and Gm20_24678362) that were significantly related to soybean protein content were associated. By the annotation and enrichment of genes within the 100 Kb region of SNP loci flanking, two genes (Glyma.09G158100 and Glyma.09G158200) related to soybean protein synthesis and one gene (Glyma.12G180200) related to lipid metabolism were selected. By the preliminary verification of expression levels of genes with qPCR, it is found that during the periods of R6 and R7 of the accumulation of soybean protein and fat, Glyma.09G158100 and Glyma.09G158200 are positive regulatory genes that promote protein synthesis and accumulation, while Glyma.12G180200 is the negative regulatory gene that inhibits fat accumulation.

conclusionsThese results lay the basis for further verifying the gene function and studying the molecular mechanisms regulating the accumulation of protein and fat in soybean seeds.

Indexed as

Genome-Wide Association StudySoybean ProteinsGenes, PlantGlycine maxHumansPolymorphism, Single NucleotideQuantitative Trait LociSeedsSoybean ProteinsGenome-Wide Association StudyProtein; FatSLAF-seqSoybean

Identifiers

PMID37805454
PMCPMC10559447
OpenAlexW4387426495

What OpenQuestion holds

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LicenceCC BY
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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.