Evidence map›Paper›PMID 38418640›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Identification of the domestication gene GmCYP82C4 underlying the major quantitative trait locus for the seed weight in soybean.

Yang Li, Wenqian Zhao, Jiajun Tang, Xiuli Yue, Jinbao Gu, Biyao Zhao, Cong Li, Yanhang Chen, Jianbo Yuan, Yan Lin and 6 more

Abstract read
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. 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
6.0field-weighted citation impact, top 4% 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, 10 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

16 authors at 5 institutions in 1 country.

Yang Li *Institute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.ORCID http://orcid.org/0000-0002-7515-8393
Wenqian Zhao *National Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Jiajun TangNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Xiuli YueNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Jinbao GuInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Biyao ZhaoInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Cong LiInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Yanhang ChenInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Jianbo YuanInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Yan LinInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China.
Yan LiNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Fanjiang KongInnovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, China.
Jin HeCollege of Agriculture, Guizhou University, Guiyang, China.
Dong WangKey Laboratory of Molecular Biology and Gene Engineering in Jiangxi Province, College of Life Science, Nanchang University, Nanchang, China.
Tuan-Jie ZhaoNational Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Key Laboratory for Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China. tjzhao@njau.edu.cn.
Zhen-Yu WangInstitute of Nanfan & Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, China. wangzy80@126.com.ORCID http://orcid.org/0000-0002-0386-490X
Guangdong Academy of Sciences · CNNanjing Agricultural University · CNGuangzhou University · CNGuizhou University · CNNanchang University · CN

Funding

Core Technology Development for Breeding Program of Jiangsu Province JBGS-2021-014GDAS' Project of Science and Technology Development 2020GDASYL-2020102011GDAS' Project of Science and Technology Development 2022GDASZH-2022010102Guangdong Basic and Applied Basic Research Foundation 2022A1515111146Guangdong Pearl River Talents Program 2021CX02N173Zhanjiang innovation and entrepreneurship team 'pilot plan' 211207157080997Zhanjiang Science and Technology Plan Project 2022A01009
6 · The paper itself

Abstract

key messageA major quantitative trait locus (QTL) for the hundred-seed weight (HSW) was identified and confirmed in the two distinct soybean populations, and the target gene GmCYP82C4 underlying this locus was identified that significantly associated with soybean seed weight, and it was selected during the soybean domestication and improvement process. Soybean is a major oil crop for human beings and the seed weight is a crucial goal of soybean breeding. However, only a limited number of target genes underlying the quantitative trait loci (QTLs) controlling seed weight in soybean are known so far. In the present study, six loci associated with hundred-seed weight (HSW) were detected in the first population of 573 soybean breeding lines by genome-wide association study (GWAS), and 64 gene models were predicted in these candidate QTL regions. The QTL qHSW_1 exhibits continuous association signals on chromosome four and was also validated by region association study (RAS) in the second soybean population (409 accessions) with wild, landrace, and cultivar soybean accessions. There were seven genes in qHSW_1 candidate region by linkage disequilibrium (LD) block analysis, and only Glyma.04G035500 (GmCYP82C4) showed specifically higher expression in flowers, pods, and seeds, indicating its crucial role in the soybean seed development. Significant differences in HSW trait were detected when the association panels are genotyped by single-nucleotide polymorphisms (SNPs) in putative GmCYP82C4 promoter region. Eight haplotypes were generated by six SNPs in GmCYP82C4 in the second soybean population, and two superior haplotypes (Hap2 and Hap4) of GmCYP82C4 were detected with average HSW of 18.27 g and 18.38 g, respectively. The genetic diversity of GmCYP82C4 was analyzed in the second soybean population, and GmCYP82C4 was most likely selected during the soybean domestication and improvement process, leading to the highest proportion of Hap2 of GmCYP82C4 both in landrace and cultivar subpopulations. The QTLs and GmCYP82C4 identified in this study provide novel genetic resources for soybean seed weight trait, and the GmCYP82C4 could be used for soybean molecular breeding to develop desirable seed weight in the future.

Indexed as

Glycine maxQuantitative Trait LociDomesticationGenome-Wide Association StudyHumansPlant BreedingPolymorphism, Single NucleotideSeeds

Identifiers

PMID38418640
OpenAlexW4392242105

What Socratic holds

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Registered trials

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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 Socratic graph.