PMID- 36012722
OWN - NLM
STAT- MEDLINE
DCOM- 20220829
LR  - 20231213
IS  - 1422-0067 (Electronic)
IS  - 1422-0067 (Linking)
VI  - 23
IP  - 16
DP  - 2022 Aug 21
TI  - Development of Comprehensive Serological Techniques for Sensitive, Quantitative 
      and Rapid Detection of Soybean mosaic virus.
LID - 10.3390/ijms23169457 [doi]
LID - 9457
AB  - Soybean is an important grain and oil crop worldwide; however, the yield and seed 
      quality of which are seriously affected by Soybean mosaic virus (SMV). As 
      efficient detection technology is crucial for the field management of SMV, novel 
      immunological detection methods were developed in the present study. According to 
      the phylogenetic analysis, the CP coding sequence of SMV-SC7 was selected for the 
      prokaryotic expression of the recombinant SMV-CP. Purified SMV-CP was used for 
      the development of polyclonal antibodies (PAb) against the SMV-CP (PAb-SMV-CP) 
      and monoclonal antibodies (MAb) against SMV-CP (MAb-SMV-CP). Subsequently, the 
      PAb-SMV-CP was used for the development of a novel DAS- quantitative ELISA 
      (DAS-qELISA) kit, of which the sensitivity was greater than 1:4000, and this 
      could be used for the quantitative detection of SMV in China. Meanwhile, the 
      MAb-SMV-CP was labeled with colloidal gold, and then was used for the development 
      of the SMV-specific gold immunochromatography strip (SMV-GICS). The SMV-GICS 
      gives accurate detection results through observed control lines and test lines in 
      5 to 10 min, sharing the same sensitivity as RT-PCR, and can be used for rapid, 
      accurate and high-throughput field SMV detection. The DAS-qELISA kit and the 
      SMV-GICA strip developed in this study are SMV-specific, sensitive, cheap and 
      easy to use. These products will be conducive to the timely, efficient SMV 
      epidemiology and detection in major soybean-producing regions in China and 
      abroad.
FAU - Ren, Rui
AU  - Ren R
AUID- ORCID: 0000-0001-7850-8750
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
AD  - College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
FAU - Wang, Tao
AU  - Wang T
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
AD  - Handan Academy of Agricultural Science, Handan 056001, China.
FAU - Gao, Le
AU  - Gao L
AUID- ORCID: 0000-0003-4852-8894
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
AD  - Department of Horticulture, Beijing Vocational College of Agriculture, Beijing 
      102442, China.
FAU - Song, Puwen
AU  - Song P
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
AD  - College of Life Science and Technology, Henan Institute of Science and 
      Technology, Xinxiang 453003, China.
FAU - Yang, Yunhua
AU  - Yang Y
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
FAU - Zhi, Haijian
AU  - Zhi H
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
FAU - Li, Kai
AU  - Li K
AUID- ORCID: 0000-0002-0436-611X
AD  - MARA National Center for Soybean Improvement, Nanjing Agricultural University, 
      Weigang 1, Nanjing 210095, China.
LA  - eng
GR  - 2021YFD1201604/National Key R&D Program of China/
GR  - JBGS[2021]060/the open competition project of seed industry revitalization of 
      Jiangsu Province/
GR  - 31671718/National Natural Science Foundation of China/
GR  - 32001571/National Natural Science Foundation of China/
GR  - No. CARS-04/China Agriculture Research System of MOF and MARA/
GR  - JCIC-MCP/Jiangsu Collaborative Innovation Center for Modern Crop Production/
GR  - CIC-MCP/Collaborative Innovation Center for Modern Crop Production co-sponsored 
      by Province and Ministry/
GR  - KM202212448003/General Project of Science and Technology Plan of Beijing 
      Municipal Education Commission/
GR  - XY-KJ-22-07/Science and Technology Institute Project of Beijing Vocational 
      College of Agriculture/
GR  - XY-YF-22-02/Science and Technology Innovation Project of Beijing Vocational 
      College of Agriculture/
GR  - 326-0702-JSNTKSF/Soybean Industrial Technology System of Hebei Province/
PT  - Journal Article
DEP - 20220821
PL  - Switzerland
TA  - Int J Mol Sci
JT  - International journal of molecular sciences
JID - 101092791
RN  - Soybean mosaic virus
SB  - IM
MH  - Phylogeny
MH  - *Plant Diseases
MH  - *Potyvirus/genetics
MH  - Glycine max/genetics
PMC - PMC9409097
OTO - NOTNLM
OT  - DAS-qELISA
OT  - MAb-SMV-CP
OT  - PAb-SMV-CP
OT  - SMV-CP
OT  - SMV-GICS
OT  - Soybean mosaic virus
COIS- The authors declare no conflict of interest.
EDAT- 2022/08/27 06:00
MHDA- 2022/08/30 06:00
PMCR- 2022/08/21
CRDT- 2022/08/26 01:25
PHST- 2022/07/11 00:00 [received]
PHST- 2022/08/09 00:00 [revised]
PHST- 2022/08/18 00:00 [accepted]
PHST- 2022/08/26 01:25 [entrez]
PHST- 2022/08/27 06:00 [pubmed]
PHST- 2022/08/30 06:00 [medline]
PHST- 2022/08/21 00:00 [pmc-release]
AID - ijms23169457 [pii]
AID - ijms-23-09457 [pii]
AID - 10.3390/ijms23169457 [doi]
PST - epublish
SO  - Int J Mol Sci. 2022 Aug 21;23(16):9457. doi: 10.3390/ijms23169457.