Biochemical profiling of soybean genotypes resistant/susceptible to yellow mosaic virus disease

2018 ◽  
Vol 55 (3) ◽  
pp. 431
Author(s):  
Gurpreet Kaur ◽  
Sucheta Sharma ◽  
B S Gill
Keyword(s):  
Mosaic Virus ◽  
Virus Disease ◽  
Yellow Mosaic Virus ◽  
Soybean Genotypes

Assessment of genetic diversity of soybean genotypes differing in resistance against yellow mosaic virus using simple sequence repeat markers

2016 ◽  
Author(s):  
Vineet . Kumar ◽  
Anita . Rani ◽  
B. S. Gill ◽  
Vaishali . Morya ◽  
Reena . Rawal
Keyword(s):  
Mosaic Virus ◽  
Simple Sequence Repeat ◽  
Virus Disease ◽  
Polymorphic Information Content ◽  
Yellow Mosaic Virus ◽  
Bootstrap Support ◽  
Group Method ◽  
Sequence Repeat ◽  
Soybean Genotypes ◽  
Simple Sequence

Yellow mosaic virus disease is one of the major diseases of soybean in India. Genetic basis of 41 soybean genotypes varying in resistance against yellow mosaic virus was studied using 58 simple sequence repeat primers. A total of 140 alleles with an average of 2.41 alleles per locus were detected, which indicated very narrow genetic base of the genotypes studied. The polymorphic information content varied from 0.00 to 0.754 with an average of 0.357. Unweighted Pair Group Method with Arithmetic Average allocated the genotypes in 2 major clusters separated at 41% similarity with fairly good bootstrap support. Ten unique alleles observed in the study can be used for identification of genotype possessing that particular unique allele. The resistant group comprised of 21 genotypes with similarity coefficient 0.33 to 0.805, of which 20 genotypes were classified in a single sub-cluster. The results presented are of significance with regard to the identification of suitable donor parents for incorporating yellow mosaic resistance into popular soybean varieties. Genetically diverse parents with varying resistance against yellow mosaic virus identified in the study can be used for generating mapping population for the identification of SSR markers closely linked with yellow mosaic virus.

scholarly journals Screening of Soybean Genotypes to Soybean Yellow Mosaic Virus Disease

2020 ◽  
Vol 9 (3) ◽  
pp. 2070-2076
Author(s):  
Y. B. Naveesh ◽  
H. A. Prameela ◽  
S. Basavaraj ◽  
K. T. Rangaswamy
Keyword(s):  
Mosaic Virus ◽  
Virus Disease ◽  
Yellow Mosaic Virus ◽  
Soybean Genotypes

Morphological and Molecular Screening of Soybean Genotypes against Yellow Mosaic Virus Disease

2020 ◽  
Author(s):  
Nishi Mishra ◽  
M. K. Tripathi ◽  
Sushma Tiwari ◽  
Niraj Tripathi ◽  
H. K. Trivedi
Keyword(s):  
Genetic Diversity ◽  
Mosaic Virus ◽  
Virus Disease ◽  
Molecular Data ◽  
Yellow Mosaic Virus ◽  
Molecular Screening ◽  
Great Loss ◽  
Soybean Genotypes ◽  
Moderately Resistant ◽  
Resistant Genotypes

Background: The growth and productivity of soybean are adversely affected by an array of biotic factors. Viruses are one of them as they cause great loss to the yield of soybean in India. The present study was conducted with an objective to identify yellow mosaic virus (YMV) resistant genotypes among the selected set of 53 soybean genotypes. Methods: The field screening was performed to identify YMV resistant genotypes. The field data was compared with molecular data recorded on the basis of gene specific SSR molecular markers. Result: During field study, 11 genotypes were found to be highly resistant, 26 resistant, 6 moderately resistant, 4 moderately susceptible, 3 susceptible, while three genotypes namely: JS335, JS 97-52 and RVS 2001-4 were found to be highly susceptible. In molecular analysis three genotypes viz.,: JS 20-29, JS 20-69 and JS 20-98 were found to be resistant against YMV. Among the polymorphic SSR markers the highest genetic diversity (0.4785) was observed with Satt554 while lowest genetic diversity (0.037) was observed with Satt308. Similarly polymorphism information content (PIC) was highest (0.364) in Satt554 and lowest (0.0363) in Satt308 among all polymorphic markers used for screening against YMV. The resistant genotypes identified in this study may be used as donor of resistance gene against YMV to develop improved genotypes which would stand as barrier against spread of the disease to newer areas and thus it can boost production and productivity of soybean in the country.

Virus Vector Relationship of Yellow Mosaic Virus and Whitefly, Bemisia tabaci (Gennadius) in Soybean

2021 ◽  
Author(s):  
M. Swathi ◽  
Neeta Gaur ◽  
Kamendra Singh
Keyword(s):  
Mosaic Virus ◽  
Virus Disease ◽  
Management Strategies ◽  
Virus Transmission ◽  
Virus Vector ◽  
Yellow Mosaic Virus ◽  
Starvation Period ◽  
Mungbean Yellow Mosaic Virus ◽  
Biological Relationship ◽  
Relationship Of

Background: Whitefly is one of the most destructive sucking pest in the tropical and subtropical regions of the world and causing significant crop losses directly by sucking sap from the plants and indirectly through the transmission of viral diseases specifically caused by the genus Begomovirus. The Begomovirus species viz., Mungbean yellow mosaic India virus (MYMIV) and Mungbean yellow mosaic virus (MYMV) are causing yellow mosaic virus disease in soybean, which is transmitted by whiteflies. The disease accounts to 30-70 per cent yield loss and increases up to 80 - 100 per cent during severe incidence. Hence, there is a need for development of integrated pest management strategies against disease and whiteflies, for this the knowledge on virus-vector relationship is required. But, the studies on biological relationship of yellow mosaic virus disease and whitefly in soybean are scarce. At this juncture, considering the importance of disease in soybean, the present investigation was carried out to know the virus -vector relationship of the YMV and whitefly in soybean.Methods: The experiment on virus-vector relationship of yellow mosaic virus and whitefly in soybean was conducted at Department of Entomology, College of Agriculture, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand during 2016-17. The data on number of whiteflies per plant, acquisition and inoculation access feeding period and pre and post starvation period required for effective transmission of virus was recorded.Result: A single viruliferous whitefly was able to transmit virus and ten viruliferous whiteflies per plant were required for cent per cent transmission of virus. The minimum acquisition access and inoculation access feeding periods required for virus transmission was 0.25h (15 min) each; while the 100 per cent virus transmission was recorded with acquisition and inoculation period of 12h, each. The per cent transmission was increased with the increase of acquisition and inoculation periods. The rate of transmission was positively correlated with pre-acquisition starvation period and negatively correlated with post- acquisition starvation period.

scholarly journals Assessment of Common Soybean-Infecting Viruses in Ohio, USA, Through Multi-site Sampling and High-Throughput Sequencing

2016 ◽  
Vol 17 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Junping Han ◽  
Leslie L. Domier ◽  
Bryan J. Cassone ◽  
Anne Dorrance ◽  
Feng Qu
Keyword(s):  
Mosaic Virus ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Virus Disease ◽  
Soybean Mosaic Virus ◽  
Alfalfa Mosaic Virus ◽  
Plant Viruses ◽  
Yellow Mosaic Virus ◽  
Tobacco Streak Virus ◽  
Streak Virus

Multi-site sampling was conducted during 2011 and 2012 to assess the scope of virus disease problems of soybean in Ohio, USA. A total of 259 samples were collected from 80 soybean fields distributed in 42 Ohio counties, accounting for more than 90% of major soybean-growing counties in Ohio. A high-throughput RNA-Seq approach was adopted to identify all viruses in the samples that share sufficient sequence similarities with known plant viruses. To minimize sequencing costs, total RNA extracted from up to 20 samples were first pooled to make up regional pools, resulting in eight regional pools per year in both 2011 and 2012. These regional pools were further pooled into two yearly master pools of RNA, and sequenced using the Illumina's HiSeq2000 platform. Bioinformatic analyses of sequence reads led to the identification of signature sequences of nine different viruses. The originating locations of these viruses were then mapped with PCR or RT-PCR. This study confirmed the widespread distribution of Bean pod mottle virus, Soybean vein necrosis virus, Tobacco ringspot virus, and Tobacco streak virus in Ohio. It additionally revealed occasional association of Alfalfa mosaic virus, Bean yellow mosaic virus, Clover yellow vein virus, Soybean mosaic virus, and Soybean Putnam virus with Ohio soybean. This is the first statewide survey of soybean viruses in Ohio, and provides the much-needed baseline information for management of virus diseases of soybean. Accepted for publication 20 May 2016. Published 10 June 2016.

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