Detection of QTLs associated with mungbean yellow mosaic virus (MYMV) resistance using the interspecific cross of Vigna radiata × Vigna umbellata

Mathivathana, M. Kanimoli; Jayakodi, Murukarthick; Karthikeyan, Adhimoolam; Jang, Woojong; Dhasarathan, M.; Jeyabalan, Nallathambi; Manickam, S.; Vanniarajan, C.; Karthikeyan, G.; Yang, Tae-Jin; Raveendran, M.; Pandiyan, M.

doi:10.1007/s13353-019-00506-x

Cited by 29 publications

(24 citation statements)

References 49 publications

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“…We consider that the newly constructed map is an improvement over the map constructed by Schafleitner et al (2016) , because in their map, LG3 and LG4 were merged together. The other previous map also agreed well with the reference genome ( Mathivathana et al, 2019 ); however, our map has higher density (0.54 cM) than theirs (3.23 cM), mainly because of the different mapping populations and sequencing method.…”

Section: Discussionsupporting

confidence: 85%

“…SNPs have gradually become more widely used for high density map construction, including in species related to mung bean ( Liu et al, 2016 ; Pan et al, 2017 ; Amkul et al, 2019 ; Somta et al, 2019 ). With the release of the whole genome of mung bean ( Kang et al, 2014 ), two SNP maps were reported ( Schafleitner et al, 2016 ; Mathivathana et al, 2019 ). However, because SNP map information is not easily shared among different labs, we constructed our own SNP map.…”

Section: Discussionmentioning

confidence: 99%

“…However, most of these maps were low density because of the limited number of polymorphic markers, although primarily mappings of genes associated with bruchid resistance ( Chen et al, 2012 ; Wang et al, 2016 ), domesticated traits ( Isemura et al, 2012 ), and agronomic traits ( Kajonphol et al, 2012 ) were reported. With the release of the whole genome sequence of mung bean ( Yang et al, 2014 ), rapid progress on gene tagging and candidate genes associated with resistance to pests such as seed beetles ( Coleoptera: Bruchidae ) and disease also has been made ( Chotechung et al, 2016 ; Kaewwongwal et al, 2017 ; Mathivathana et al, 2019 ). Single nucleotide polymorphism (SNP) maps, essential for precise gene mapping, have been constructed for species related to mung bean, such as black gram and wild cowpea for bruchid resistance ( Amkul et al, 2019 ; Somta et al, 2019 ), cowpea for yield traits ( Pan et al, 2017 ), and adzuki bean for flowering time ( Liu et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

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Construction of a High-Density Genetic Map and Its Application for QTL Mapping of Leaflet Shapes in Mung Bean (Vigna radiata L.)

Wang

Liu

et al. 2020

Front. Genet.

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Mung bean ( Vigna radiata L.) is an important but understudied food legume in Asia and now worldwide. Genetic studies may help to accelerate the exploitation of new genes for breeding in this crop. Here, we used a recombination inbred line population to construct an SNP genetic linkage map by genome sequencing technology. We obtained 21,508 high-quality SNP markers integrated into 1,946 bin markers that were mapped onto 11 linkage groups (LGs) with 99–258 bin markers per LG. The total genetic length of the map was 1060.2 cM (38.76–168.03 cM per LG), with an average distance between markers of 0.54 cM. However, there were 18 gaps >5 cM, distribution on LG1, 3, 5, 7, and 9. Gene mapping for lobed and indented leaflets was conducted using the map. A major quantitative trait locus (QTL) associated with indented leaflets was detected on chromosome 10, with phenotypic variation explained (PVE) values of 39.7% and 45.4% under two different environments. Several QTLs for lobed leaflets were detected and most of them were tightly linked together on Chromosome 3. However, only one major QTL, which explained the largest phenotypic variation (27.7–69.5%), was stably detected under two different environments using both R and Q methods. In the two main stable QTLs regions on chromosomes 3 and 10, candidate genes for regulating the molecular mechanism of different leaflet shapes were detected by functional annotation. The overlap of major QTLs under different environments indicated that the present map would be good enough for precisely mapping genes, and both the QTL analysis and gene prediction were useful for investigating the mechanism of leaf development in mung bean or legumes.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Construction of a High-Density Genetic Map and Its Application for QTL Mapping of Leaflet Shapes in Mung Bean (Vigna radiata L.)

Wang

Liu

et al. 2020

Front. Genet.

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“…The resistant gene of YMD has been successfully incorporated into urdbean [175] and mungbean [176,177]. Likewise, Mathivatahana et al [178] used rice bean as a donor for MYMV-resistance in mungbean. Sudha et al [179] used the rice bean as MYMV-resistant donor for developing the cross-specific markers for resistance breeding.…”

mentioning

confidence: 99%

Breeding for Enhancing Legumovirus Resistance in Mungbean: Current Understanding and Future Directions

Singh¹,

Singh

Pratap

et al. 2019

Agronomy

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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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“…Recently, QTL mapping of YMD resistance gene(s) using a RIL population (Mungbean-VRM (Gg)1 × Ricebean-TNAU RED) through GBS has revealed 05 QTLs having PVE from 10.11 to 20.04%. One major QTL qMYMV4_1 was found located in a 1.2Mb (14,504,302–15,788,321) region on mungbean chromosome 4 having 83 annotated genes of which 18 are considered as candidate genes ( Figure 6 ) imparting resistance ( Mathivathana et al, 2019 ). Since this is a big region, therefore adding more markers to this region will help in reducing the number of candidate genes for YMD resistance.…”

Section: Ymd Management Challenges and Opportunitiesmentioning

confidence: 99%

Yellow Mosaic Disease (YMD) of Mungbean (Vigna radiata (L.) Wilczek): Current Status and Management Opportunities

et al. 2020

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Detection of QTLs associated with mungbean yellow mosaic virus (MYMV) resistance using the interspecific cross of Vigna radiata × Vigna umbellata

Cited by 29 publications

References 49 publications

Construction of a High-Density Genetic Map and Its Application for QTL Mapping of Leaflet Shapes in Mung Bean (Vigna radiata L.)

Construction of a High-Density Genetic Map and Its Application for QTL Mapping of Leaflet Shapes in Mung Bean (Vigna radiata L.)

Breeding for Enhancing Legumovirus Resistance in Mungbean: Current Understanding and Future Directions

Yellow Mosaic Disease (YMD) of Mungbean (Vigna radiata (L.) Wilczek): Current Status and Management Opportunities

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