Evidence map›Paper›PMID 38758218›Full record

ArticleMolecular genetics and genomics : MGG2024

Identification of soybean mosaic virus strain SC7 resistance loci and candidate genes in soybean [Glycine max (L.) Merr.].

Yixiang Pu, Rujuan Yan, Dongbing Jia, Zhijun Che, Rufei Yang, Changyun Yang, Hui Wang, Hao Cheng, Deyue Yu

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

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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

9 authors.

Yixiang Pu *National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Rujuan Yan *National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Dongbing Jia *National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Zhijun CheSchool of Agriculture, Ningxia University, Yinchuan, 750021, Ningxia, People's Republic of China.
Rufei YangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Changyun YangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Hui WangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Hao ChengNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. jenny21star@njau.edu.cn.
Deyue YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. dyyu@njau.edu.cn.ORCID http://orcid.org/0000-0001-7263-2750

Funding

JBGS (2021) 060Jiangsu Province Agriculture Science and Technology Innovation CX(22)3088National Natural Science Foundation of China 32001507National Natural Science Foundation of China 32090065National Natural Science Foundation of China 32260466
6 · The paper itself

Abstract

Soybean [Glycine max (L.) Merr.] is an important legume crop worldwide, which provides abundant plant protein and oil for human beings. Soybean mosaic virus (SMV) can cause serious damage to the yield and quality of soybean, but it is difficult to control SMV with chemicals, breeding SMV-resistant varieties has become the most effective way to control the disease. Therefore, it is important to identify SMV resistance genes from soybean resources and apply them to soybean breeding. In this study, the disease rates (DRs) of 219 soybean accessions to SMV strain SC7 in two environments were investigated. A high-density NJAU 355 K SoySNP array was used for genome-wide association study (GWAS) of DR. A 274 kb region on chromosome 15 (1,110,567 bp to 1,384,173 bp) was repeatedly detected in two environments. Six new significant single nucleotide polymorphisms (SNPs) on chromosome 15 were identified. Four of these six SNPs were located within two candidate genes, Glyma.15G015700 and Glyma.15G015800. The elite haplotype Glyma.15G015700

Indexed as

Disease ResistanceGenome-Wide Association StudyGlycine maxPlant DiseasesPolymorphism, Single NucleotidePotyvirusChromosome MappingChromosomes, PlantGenes, PlantHaplotypesPlant BreedingQuantitative Trait LociCandidate geneGenome-wide association studyResistance lociSoybeanSoybean mosaic virus

Identifiers

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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 OpenQuestion graph.