Fine mapping of the R SC9 gene and preliminary functional analysis of candidate resistance genes in soybean ( Glycine max )

2021 ◽  
Author(s):  
Ying Shen ◽  
Lijun Xie ◽  
Boyu Chen ◽  
Han Cai ◽  
Yuanyuan Chen ◽  
...  
2020 ◽  
Vol 71 (5) ◽  
pp. 477
Author(s):  
Hexiang Luan ◽  
Yongkun Zhong ◽  
Dagang Wang ◽  
Rui Ren ◽  
Le Gao ◽  
...  

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.


2013 ◽  
Vol 38 (9) ◽  
pp. 1607-1616
Author(s):  
Yan CAO ◽  
Xiao-Mei ZHANG ◽  
Xin-Jian CHEN ◽  
Yong-Fu FU

2013 ◽  
Vol 39 (2) ◽  
pp. 216 ◽  
Author(s):  
Xiao-Feng YANG ◽  
Yong-Qing YANG ◽  
Gui-Jie ZHENG ◽  
Hai-Jian ZHI ◽  
Xiao-Hong LI

2018 ◽  
Vol 79 (3) ◽  
pp. 467-481 ◽  
Author(s):  
Melissa A. Buckley ◽  
Nicholas T. Woods ◽  
Jonathan P. Tyrer ◽  
Gustavo Mendoza-Fandiño ◽  
Kate Lawrenson ◽  
...  

2017 ◽  
Vol 60 (1) ◽  
pp. 48-56
Author(s):  
Xing Kong ◽  
Jingyao Zhang ◽  
Deyue Yu ◽  
Junyi Gai ◽  
Shouping Yang

2014 ◽  
Vol 74 (3) ◽  
pp. e14-e14 ◽  
Author(s):  
Nina Y Oparina ◽  
Angelica M Delgado-Vega ◽  
Manuel Martinez-Bueno ◽  
César Magro-Checa ◽  
Concepción Fernández ◽  
...  

3 Biotech ◽  
2018 ◽  
Vol 8 (8) ◽  
Author(s):  
Kalpana Tewari ◽  
Vaibhav Kumar ◽  
Amresh Kumar ◽  
Navita Bansal ◽  
T. Vinutha ◽  
...  

2017 ◽  
Vol 101 (4) ◽  
pp. 489-502 ◽  
Author(s):  
Hye In Kim ◽  
Johannes Raffler ◽  
Wenyun Lu ◽  
Jung-Jin Lee ◽  
Deepti Abbey ◽  
...  

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