Development of Mapping Population and Validation of Molecular Markers Associated with MYMV Resistance in Mungbean

Author(s):  
S. C. Mogali ◽  
B. N. Abhilash ◽  
L. G. Jaggal

Background: Mungbean yellow mosaic virus disease is the most devastating disease on Mungbean production. The virus is transmitted by whitefly and can cause yield losses from 75 to 100 per cent. The development of mungbean cultivars resistant to both virus and its vector is considered as one of the most desirable means of managing the disease as it is environmentally safe and highly efficient. The selection of resistant genotypes in conventional methods is complex and time consuming. Hence, the use of molecular markers linked with resistance genes is powerful as it hastens the breeding programmes. The current study was aimed to develop mapping population and to validate molecular markers associated with Mungbean yellow mosaic virus (MYMV). Methods: The present investigation was carried out with 260 F2 individuals that were derived from crossing DGGV-2 and IPM 2-14 during Kharif-2017 at Main Agril Research Station, UAS, Dharwad. Hybrid seeds of this cross were harvested individually and sown during rabi 2017 along with the two parents, as checks for distinguishing the true hybrids. Hybridity of F1s was confirmed through molecular marker analysis and the true F1s were selfed to raise the F2 generation. Result: Of the 24 previously reported simple sequence repeat markers used for detecting the polymorphism, two markers viz., CEDG305 and CEDG115 were found to be polymorphic between DGGV-2 and IPM-2-14. Two hundred and sixty F2 plants segregated in the ratio of 3 S:1 R (202 susceptible: 58 resistant) as phenotypic and 1: 2 :1 as genotypic ratio implying that single recessive gene controlled resistance. Single marker analysis revealed that the molecular markers CEDG305 and CEDG115 were associated with MYMV resistance with a phenotypic variance of 24.5 and 10.3 per cent respectively.

Author(s):  
M. Swathi ◽  
Neeta Gaur ◽  
Kamendra Singh

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.


Author(s):  
Jay appa ◽  
H.K. Ramappa ◽  
Jabbar Sab ◽  
Chirag Gautam ◽  
B.D Devamani

2014 ◽  
Vol 30 (3) ◽  
pp. 261-268 ◽  
Author(s):  
A.K.M. Mahbubul Alam ◽  
Prakit Somta ◽  
Choosak Jompuk ◽  
Prasert Chatwachirawong ◽  
Peerasak Srinives

Author(s):  
K.S. Win ◽  
S. Win ◽  
T.M. Htun ◽  
N.K.K. Win ◽  
K.S. Oo

Background: Mungbean Yellow Mosaic Virus is one of the major constraints in mungbean production. Knowledge of mode of inheritance and gene effects of MYMV resistance is very useful and effective for the development of genotypes resistant to disease or incorporation of resistance into the desirable promising genotypes whichlack of disease resistance. Methods: In order to estimate inheritance pattern of MYMV disease resistance in mungbean, the study was conducted in summer season (2019) under natural condition. Six generations such as Pl, P2, Fl, BC1, BC2 and F2 of six combinations [two resistant genotypes (7639 and 10266) and three susceptible genotypes (7621, 10257 and R-021018)] were studied inheritance pattern of resistance to MYMV in segregation population. Result: Based on the result from mode of inheritance pattern of MYMV resistance, it can be concluded that single recessive gene is controlled the resistance of MYMV and susceptible behavior indicated as dominant over resistant. Additive gene action was the major role for the selection of MYMV resistance. Some differences in the expression of gene contributing for MYMV resistance from others findings might be attributed due to the sources of resistant genotypes which have different nature of resistant gene used in this investigation. 


Author(s):  
K. Vadivel ◽  
N. Manivannan ◽  
A. Mahalingam ◽  
V.K. Satya ◽  
C. Vanniarajan ◽  
...  

Background: Blackgram [Vigna mungo (L.) Hepper] is an important food legume crop of India. Mungbean yellow mosaic virus (MYMV) disease is the major problem in blackgram. The disease can reduce seed yield upto 100% or even kill a plant infected at an early vegetative stage. The most effective way to prevent the occurrence of this disease is to develop genetically resistant cultivars of blackgram. However, a major difficulty in breeding MYMV disease resistant in blackgram is field screening for the virus disease. Hence identification of QTL followed by Marker-assisted selection (MAS) is highly useful for genetic improvement of crops. With this background, a study was made for identification as well as validation of quantitative trait loci (QTL) for MYMV disease resistance in blackgram.Methods: A total of 112 F2:3 lines were evaluated for MYMV disease resistance along with parents viz., MDU 1 (MYMV disease susceptible) and Mash 1008 (MYMV disease resistant) at the National Pulses Research Centre, Tamil Nadu Agricultural University, Vamban, Tamil Nadu during July-September 2018 under Augmented Design in the field. Each line was sown in one row of 3 m in length with a spacing of 30 cm as between row and 10 cm as within row. Susceptible genotypes CO 5 and MDU 1 were sown as disease spreader rows after every eight rows and also around the plots. The MYMV disease score was recorded on 60 DAS, by using phenotype rating scale from 1 (resistant) to 9 (highly susceptible), as suggested by Singh et al. (1995). The mean of each progeny was calculated and used as phenotypic data. A total of 525 SSR primers were used to test polymorphism between parents MDU 1 and Mash 1008. Genotyping was carried out for 112 F2:3 RILs of the cross MDU 1 x Mash 1008 with 35 polymorphic SSR markers. Linkage and QTL analyses were performed using QTL IciMapping (version 4.1.0.0) (Wang et al. 2016) and QGene 4.4.0 (Joehanes and Nelson 2008) respectively. Two mapping populations MDU 1 x Mash 114 and CO 5 x VBN 6 in F2:3 and F2 generations respectively were used in this study to validate the identified QTL regions.Result: QTL study indicated the presence of two major QTLs for MYMV disease score in LG 2 and LG 10 at 60 DAS with 20.90 and 24.90% of phenotypic variation respectively. Validation of these QTLs in two other mapping population indicated that QTL on LG 10 was validated with high phenotypic variation of 45.40-46.00%. Hence it may conclude that qmymv10_60 may be utilized for MAS/MABC with assured improvement on MYMV disease resistance in blackgram.


Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 622 ◽  
Author(s):  
Chandra Mohan Singh ◽  
Poornima Singh ◽  
Aditya Pratap ◽  
Rakesh Pandey ◽  
Shalini Purwar ◽  
...  

Yellow mosaic disease (YMD) affects several types of leguminous crops, including the Vigna species, which comprises a number of commercially important pulse crops. YMD is characterized by the formation of a bright yellow mosaic pattern on the leaves; in severe forms, this pattern can also be seen on stems and pods. This disease leads to tremendous yield losses, even up to 100%, in addition to deterioration in seed quality. Symptoms of this disease are similar among affected plants; YMD is not limited to mungbean (Vigna radiata L. Wilczek) and also affects other collateral and alternate hosts. In the last decade, rapid advancements in molecular detection techniques have been made, leading to an improved understanding of YMD-causing viruses. Three distinct bipartite begomoviruses, namely, Mungbean Yellow Mosaic India Virus (MYMIV), Mungbean Yellow Mosaic Virus (MYMV), and Horsegram Yellow Mosaic Virus (HgYMV), are known to cause YMD in Vigna spp. Vigna crops serve as an excellent protein source for vegetarians worldwide; moreover, they aid in improving soil health by fixing atmospheric nitrogen through a symbiotic association with Rhizobium bacteria. The loss in the yield of these short-duration crops due to YMD, thus, needs to be checked. This review highlights the discoveries that have been made regarding various aspects of YMD affecting mungbean, including the determination of YMD-causing viruses and strategies used to develop high-yielding YMD-resistant mungbean varieties that harness the potential of related Vigna species through the use of different omics approaches.


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