A diagnostic marker kit for Fusarium wilt and sterility mosaic diseases resistance in pigeonpea

Saxena, Rachit K.; Hake, Anil A.; Khan, Aamir W.; Hingane, Anupama; Sultana, Rafat; Singh, Indra; Naik, S. J. Satheesh; Varshney, Rajeev K.

doi:10.1007/s00122-020-03702-0

Cited by 14 publications

(3 citation statements)

References 54 publications

(88 reference statements)

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“…Multiple QTLs conferring resistance to PPSMV have been identified in pigeonpea, but as in this study, candidate genes have not been identified [30,31]. However, a Kompetitive allele-specific PCR (KASP) assay has recently been designed to aid in the identification of PPSMV-resistant pigeonpea varieties [32]. If the markers in this study that distinguish haplotypes 5B and 1D can be validated, similar marker tests could be deployed in roses to track and manipulate a given QTL and identify progeny likely to have reduced susceptibility to RRD.…”

Section: Discussionmentioning

confidence: 91%

Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses

et al. 2022

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Resistance to rose rosette disease (RRD), a fatal disease of roses (Rosa spp.), is a high priority for rose breeding. As RRD resistance is time-consuming to phenotype, the identification of genetic markers for resistance could expedite breeding efforts. However, little is known about the genetics of RRD resistance. Therefore, we performed a quantitative trait locus (QTL) analysis on a set of inter-related diploid rose populations phenotyped for RRD resistance and identified four QTLs. Two QTLs were found in multiple years. The most consistent QTL is qRRV_TX2WSE_ch5, which explains approximately 20% and 40% of the phenotypic variation in virus quantity and severity of RRD symptoms, respectively. The second, a QTL on chromosome 1, qRRD_TX2WSE_ch1, accounts for approximately 16% of the phenotypic variation for severity. Finally, a third QTL on chromosome 3 was identified only in the multiyear analysis, and a fourth on chromosome 6 was identified in data from one year only. In addition, haplotypes associated with significant changes in virus quantity and severity were identified for qRRV_TX2WSE_ch5 and qRRD_TX2WSE_ch1. This research represents the first report of genetic determinants of resistance to RRD. In addition, marker trait associations discovered here will enable better parental selection when breeding for RRD resistance and pave the way for marker-assisted selection for RRD resistance.

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Section: Discussionmentioning

confidence: 91%

Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses

et al. 2022

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“…Seq-BSA has provided 7 candidate SNPs for FW and SMD resistance in pigeonpea which are useful for the genomics-assisted breeding in pigeonpea [108]. A diagnostic marker kit was developed with 10 markers for identification of SMD resistant lines [109]. A 50 hypervariable pigeonpea specific simple sequence repeat (AHSSR) markers were screened to identify genomic regions associated with resistance to SMD through bulk segregant analysis (BSA) approach in 84 RILs derived from a cross ICP 8863 (S) x BRG 3 (R).…”

Section: Application Of Molecular Markersmentioning

confidence: 99%

Sterility Mosaic Disease of Pigeonpea (<i>Cajanus cajan</i> (L.) Huth): Current Status, Disease Management Strategies, and Future Prospects

Sayiprathap,

Patibanda,

Mantesh

et al. 2024

Preprint

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Pigeonpea (Cajanus cajan) is one of the important grain legume crops cultivated in the semi-arid tropics, playing a crucial role in the economic well-being of subsistence farmers. India is the major producer of pigeonpea, accounting for over 75 per cent of the world's production. Sterility mosaic disease (SMD), caused by Pigeonpea sterility mosaic virus (PPSMV) and transmitted by the eriophyid mite (Aceria cajani), is a major constraint to pigeonpea cultivation in the Indian subcontinent, leading to potential yield losses of up to 100 per cent. The recent characterization of another Emaravirus associated with SMD has further complicated the etiology of this challenging viral disease. This review focuses on critical areas, including the current status of the disease, transmission and host-range, rapid phenotyping techniques, as well as available disease management strategies. The review concludes with insights into the future prospects, offering an overview and direction for further research and management strategies.

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“…Furthermore, Super Annigeri-1, an improved version of Annigeri- 1, and “Pusa Chickpea Manav” were developed by introgressing resistance for Fusarium wilt through MABC approach was successfully released in India ( Mannur et al, 2019 ; https://icar.org.in/content/development-two-superior-chickpea-varieties-genomics-assisted-breeding ; https://www.icrisat.org/genomics-assisted-breeding-delivers-high-yielding-wilt-resistant-chickpea-for-commercial-cultivation-in-central-india/). Efforts are underway in pigeonpea for introgressing resistance to Fusarium wilt and sterility mosaic disease ( Saxena et al, 2020 ).…”

Section: Genomics-assisted Breedingmentioning

confidence: 99%

Genomic resources in plant breeding for sustainable agriculture

Thudi

Ramesh

Schnable

et al. 2021

Journal of Plant Physiology

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114

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Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965−85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.

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A diagnostic marker kit for Fusarium wilt and sterility mosaic diseases resistance in pigeonpea

Cited by 14 publications

References 54 publications

Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses

Identification of QTLs for Reduced Susceptibility to Rose Rosette Disease in Diploid Roses

Sterility Mosaic Disease of Pigeonpea (<i>Cajanus cajan</i> (L.) Huth): Current Status, Disease Management Strategies, and Future Prospects

Genomic resources in plant breeding for sustainable agriculture

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