May 21, 2004
Source:
American Phytopathological
Society
SUMMARY
Identification of Soybean
mosaic virus Strains by RT-PCR/RFLP Analysis of Cylindrical
Inclusion Coding Region. Yul-Ho Kim, National Institute
of Crop Science, RDA, Suwon 441-857 Korea; Ok-Sun Kim, National
Seed Management Office, MAF, Suwon 442-400, Korea; Jae-Hwan Roh,
Jung-Kyung Moon, and Soo-In Sohn, National Institute of Crop
Science; Sang-Chul Lee, Department of Agronomy, Kyungpook
National University, Taegu 702-701, Korea; and Jang-Yong Lee,
National Institute of Crop Science. Plant Dis. D-2004-0322-02R,
2004 (online). Accepted for publication 21 January 2004.
Soybean mosaic virus (SMV) is the most important viral
disease wherever soybean is grown. It causes serious damage and
effects on plant growth. Therefore, detection and identification
of SMV strains is very important both for soybean cultivation
and breeding SMV-resistant cultivars. Nevertheless, the
classification of SMV strains mostly depends on conventional
methods, which are laborious and time consuming, and uses
differential soybean cultivars. A rapid and simple method using
reverse-transcriptase polymerase chain reaction/restriction
fragment length polymorphism (RT-PCR/RFLP) for identification
and differentiation of SMV strains has been developed. In this
method, a primer pair amplifying a 1,385-bp fragment of the
cylindrical inclusion (CI) coding region at position 4,176 to
5,560 was used for RT-PCR and the RFLP profiles of the RT-PCR
products were compared after restriction digestion with RsaI,
EcoRI, or AccI restriction endonucleases. These
enzymes were chosen based on the nucleotide sequences of SMV
strains G2, G5, G5H, G7, and G7H in the CI coding region. These
five strains, as well as eight seedborne SMV isolates from local
soybean cultivars, could be differentiated by RT-PCR/RFLP
analysis. The sensitivity of RT-PCR permitted detection of SMV
from plants with necrotic symptoms in which the number of virus
particles was too low to be detected by immunological
techniques.
http://www.apsnet.org/pd/summaries/djn04sum.asp#Kim |