Genetic analysis and identification of two soybean mosaic virus resistance genes in soybean [Glycine max(L.) Merr]

2015 ◽  
Vol 134 (6) ◽  
pp. 684-695 ◽  
Author(s):  
Kai Li ◽  
Rui Ren ◽  
Karthikeyan Adhimoolam ◽  
Le Gao ◽  
Yuan Yuan ◽  
...  
Keyword(s):  
Glycine Max ◽  
Genetic Analysis ◽  
Mosaic Virus ◽  
Resistance Genes ◽  
Virus Resistance ◽  
Soybean Mosaic Virus ◽  
Glycine Max L

Genetic analysis and fine-mapping of Soybean mosaic virus SC7 and SC13 resistance genes in soybean (Glycine max)

2020 ◽  
Vol 71 (5) ◽  
pp. 477
Author(s):  
Hexiang Luan ◽  
Yongkun Zhong ◽  
Dagang Wang ◽  
Rui Ren ◽  
Le Gao ◽  
...  
Keyword(s):  
Glycine Max ◽  
Mosaic Virus ◽  
Resistance Genes ◽  
Fine Mapping ◽  
Soybean Mosaic Virus ◽  
Resistance Breeding ◽  
Physical Distance ◽  
Breeding Systems ◽  
Chromosome 2 ◽  
Transcription Factor Genes

Soybean mosaic virus (SMV) is one of the most destructive pathogens of soybean (Glycine max (L.) Merr.) worldwide. In this study, 184 F7:11 recombinant inbred line (RIL) populations derived from Kefeng No. 1 × Nannong 1138-2 were used to study the inheritance and linkage mapping of resistance genes against SMV strains SC7 and SC13 in Kefeng No. 1. Two independent dominant genes (designated Rsc7 and Rsc13) that control resistance to SC7 and SC13 were located on a molecular linkage group (MLG) of chromosome 2 (D1b). A mixed segregating population was developed by self-pollination of three heterozygous plants of residual heterozygous lines (RHL3-27, RHL3-30, RHL3-53) with five markers linked to the loci, and was used in fine-mapping of Rsc7 and Rsc13. In addition, Rsc7 was fine-mapped between BARCSOYSSR_02_0667 and BARCSOYSSR_02_0670 on MLG D1b. The genetic distance between the two closest markers was 0.7 cM and the physical distance of the interval was ~77 kb, which included one LRR gene and another gene containing an F-box region. Two SSR markers (BARCSOYSSR_02_0610 and BARCSOYSSR_02_0621) were closely linked to the SC13 resistance gene. The physical distance where Rsc13 was located was ~191 kb. Sequence analysis showed that there were two K-box region types of transcription factor genes; GmHSP40 and two serine/threonine protein kinase (STK) genes were the most likely candidate genes. These results will facilitate map-based cloning of the Rsc7 and Rsc13 genes and development of transgenic disease-resistant varieties, and will provide SMV-resistance breeding systems with excellent resistance germplasm.

scholarly journals HERITABILITAS, NISBAH POTENSI, DAN HETEROSIS KETAHANAN KEDELAI (Glycine max [L.] Merrill) TERHADAP SOYBEAN MOSAIC VIRUS

2016 ◽  
Vol 16 (1) ◽  
pp. 17
Author(s):  
Nyimas Sa’diyah ◽  
Hasriadi Mat Akin ◽  
Ria Putri ◽  
Risa Jamil ◽  
Maimun Barmawi
Keyword(s):  
Glycine Max ◽  
Mosaic Virus ◽  
Disease Severity ◽  
Block Design ◽  
Soybean Mosaic Virus ◽  
Mosaic Disease ◽  
Narrow Sense ◽  
Narrow Sense Heritability ◽  
Glycine Max L ◽  
Genetic And Environmental Factors

Heritability, potential ratio, and heterosis of soybean (Glycine max [L.] Merrill) resistance to soybean mosaic virus. The use of soybean cultivars with resistance to SMV is a way for controlling soybean mosaic disease. The objective of this research was to estimate the disease severity, the narrow sense heritability, potential ratio and heterosis of resistance character and number of pithy pods, number of healthy seeds, and healthy seeds weight per plant of ten F1 populations of soybean crossing result to SMV infection. The experiment was arranged in a randomized complete block design in two replications. Observed characters were disease severity, number of pithy pods, number of healthy seeds, and healthy seeds weight per plant. The result of this research showed that 1) the crossing combinations those which were resistant to SMV (lower disease severity) were Yellow Bean x Tanggamus, Tanggamus x Orba, and Tanggamus x Taichung, 2) the narrow sense heritability of disease severity was included in medium criteria, 3) number of pithy pods belonged to high criteria, and 4) number of healthy seeds and healthy seeds weight per plant were included in low criteria. The crossing combinations that had low estimation value of heterosis and heterobeltiosis of resistance to SMV infection were Yellow Bean x Taichung, Bean x Tanggamus and Tanggamus x B3570. Disease severity or resistance to SMV is influenced by genetic and environmental factors.

Pyramiding of Soybean Mosaic Virus Resistance Genes by Marker-Assisted Selection

Crop Science ◽  
2008 ◽  
Vol 48 (2) ◽  
pp. 517-526 ◽  
Author(s):  
M. A. Saghai Maroof ◽  
S. C. Jeong ◽  
I. Gunduz ◽  
D. M. Tucker ◽  
G. R. Buss ◽  
...  
Keyword(s):  
Mosaic Virus ◽  
Resistance Genes ◽  
Virus Resistance ◽  
Marker Assisted Selection ◽  
Soybean Mosaic Virus

Characterization of broad-spectrum resistance to Soybean mosaic virus in soybean [Glycine max (L.) Merr.] cultivar ‘RN-9’

2018 ◽  
Vol 137 (4) ◽  
pp. 605-613 ◽  
Author(s):  
Rui Ren ◽  
Jinlong Yin ◽  
Huanfang Zheng ◽  
Tao Wang ◽  
Shichao Liu ◽  
...  
Keyword(s):  
Glycine Max ◽  
Mosaic Virus ◽  
Broad Spectrum ◽  
Soybean Mosaic Virus ◽  
Broad Spectrum Resistance ◽  
Glycine Max L

scholarly journals Transgenic plant generated by RNAi-mediated knocking down of soybean Vma12 and soybean mosaic virus resistance evaluation

AMB Express ◽  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hexiang Luan ◽  
Wenlin Liao ◽  
Yingpei Song ◽  
Haopeng Niu ◽  
Ting Hu ◽  
...  
Keyword(s):  
Transgenic Plant ◽  
Mosaic Virus ◽  
Virus Resistance ◽  
Soybean Mosaic Virus ◽  
Resistance Evaluation

scholarly journals Fine Mapping and Candidate Gene Discovery of the Soybean Mosaic Virus Resistance Gene, Rsv4

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
M. A. Saghai Maroof ◽  
Dominic M. Tucker ◽  
Jeffrey A. Skoneczka ◽  
Brian C. Bowman ◽  
Sucheta Tripathy ◽  
...  
Keyword(s):  
Candidate Gene ◽  
Mosaic Virus ◽  
Resistance Gene ◽  
Fine Mapping ◽  
Virus Resistance ◽  
Soybean Mosaic Virus ◽  
Gene Discovery ◽  
Virus Resistance Gene
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