Genome-Wide Association Study of Soybean Mosaic Virus Resistance with a GFP-Based Rapid Evaluation System

Soybean mosaic virus (SMV) is a major viral pathogen that causes significant yield losses and a reduction in seed quality in susceptible soybean cultivars. Resistance breeding is the most effective, economical, and eco-friendly strategy for prevention of SMV-induced damage. Accurate and convenient assessment of SMV resistance is an essential prerequisite for resistance breeding. In this study, we constructed a green fluorescent protein (GFP)-tagged SMV recombinant virus (SMV-GFP) by yeast homologous recombination technology. It was proved that the recombinant virus can not only be used to track the viral infection process in Nicotiana benthamiana and soybean, but also to quantify the viral load based on relative fluorescence area (RFA) value. Using this recombinant virus, the resistance of 286 soybean germplasms from Northeast China to SMV was evaluated. A genome-wide association study (GWAS) was conducted using the RFA values of the 286 soybean accessions to find possible SMV-resistance genes. The results revealed 72 single nucleotide polymorphism (SNP) loci on chromosome 13 closely associated with SMV resistance, and a total of 40 genes were discovered within the candidate regions. By integrating the results of gene functional annotation and haplotype analysis, Glyma.13g176600 encoding a membrane attack complex/perforin (MACPF) domain-containing protein and Glyma.13g177000 encoding a DUF761-containing protein were identified as the most probable candidate genes associated with SMV resistance. Overall, the GFP-based rapid evaluation system developed in this study will facilitate breeding for resistance to SMV in soybean.

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Publication Details

Journal
Agronomy
Published
2025-08-14
DOI
https://doi.org/10.3390/agronomy15081960
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome-Wide Association Study of Soybean Mosaic Virus Resistance with a GFP-Based Rapid Evaluation System

Mingze Zhu, Hao Su, Dawei Xin, Yuxi Hu et al.
Agronomy
Plant Virus Research Studies
article

Genome-Wide Association Study of Soybean Mosaic Virus Resistance with a GFP-Based Rapid Evaluation System

Mingze Zhu, Hao Su, Dawei Xin, Yuxi Hu, Shuang Song, Huilin Tian, Jiaying Zhou, Qingshan Chen, Yunlai Gao, Yun Hao
article en

Abstract

Soybean mosaic virus (SMV) is a major viral pathogen that causes significant yield losses and a reduction in seed quality in susceptible soybean cultivars. Resistance breeding is the most effective, economical, and eco-friendly strategy for prevention of SMV-induced damage. Accurate and convenient assessment of SMV resistance is an essential prerequisite for resistance breeding. In this study, we constructed a green fluorescent protein (GFP)-tagged SMV recombinant virus (SMV-GFP) by yeast homologous recombination technology. It was proved that the recombinant virus can not only be used to track the viral infection process in Nicotiana benthamiana and soybean, but also to quantify the viral load based on relative fluorescence area (RFA) value. Using this recombinant virus, the resistance of 286 soybean germplasms from Northeast China to SMV was evaluated. A genome-wide association study (GWAS) was conducted using the RFA values of the 286 soybean accessions to find possible SMV-resistance genes. The results revealed 72 single nucleotide polymorphism (SNP) loci on chromosome 13 closely associated with SMV resistance, and a total of 40 genes were discovered within the candidate regions. By integrating the results of gene functional annotation and haplotype analysis, Glyma.13g176600 encoding a membrane attack complex/perforin (MACPF) domain-containing protein and Glyma.13g177000 encoding a DUF761-containing protein were identified as the most probable candidate genes associated with SMV resistance. Overall, the GFP-based rapid evaluation system developed in this study will facilitate breeding for resistance to SMV in soybean.

AgronomyVol. 15(8)
Northeast Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 84%
Plant Virus Research Studies
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