Molecular mapping of the downy mildew resistance genePpa3in cauliflower (Brassica oleraceavar.botrytisL.)

Singh, Sher; Sharma, S.R.; Kalia, Pritam; Deshmukh, Rupesh; Kumar, Vinay; Sharma, Poonam; Sharma, Tilak Raj

doi:10.1080/14620316.2012.11512844

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…In the latter case, fungal pathogens are known to quickly develop resistance to most chemicals and the use of fungicides is generally perceived as negative for human health and the environment ( Van de Wouw et al, 2014 ; Balint-Kurti and Holland, 2015 ). For this reason, genetic approaches are considered safer and more durable, and considerable efforts are deployed toward the identification and introgression of resistance genes into plant material ( Channamallikarjuna et al, 2010 ; Raman et al, 2012 ; Singh et al, 2012 ; Saha et al, 2014 ). However, the use of a single source of resistance also brings tremendous selection pressure on the pathogen, and the resistance often breaks down quite rapidly ( Kutcher et al, 2013 ; Van de Wouw et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

2016

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Effector proteins are mostly secretory proteins that stimulate plant infection by manipulating the host response. Identifying fungal effector proteins and understanding their function is of great importance in efforts to curb losses to plant diseases. Recent advances in high-throughput sequencing technologies have facilitated the availability of several fungal genomes and 1000s of transcriptomes. As a result, the growing amount of genomic information has provided great opportunities to identify putative effector proteins in different fungal species. There is little consensus over the annotation and functionality of effector proteins, and mostly small secretory proteins are considered as effector proteins, a concept that tends to overestimate the number of proteins involved in a plant–pathogen interaction. With the characterization of Avr genes, criteria for computational prediction of effector proteins are becoming more efficient. There are 100s of tools available for the identification of conserved motifs, signature sequences and structural features in the proteins. Many pipelines and online servers, which combine several tools, are made available to perform genome-wide identification of effector proteins. In this review, available tools and pipelines, their strength and limitations for effective identification of fungal effector proteins are discussed. We also present an exhaustive list of classically secreted proteins along with their key conserved motifs found in 12 common plant pathogens (11 fungi and one oomycete) through an analytical pipeline.

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Section: Introductionmentioning

confidence: 99%

Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

2016

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“…, Singh et al. , ). ISSR markers involve the use of microsatellite sequences directly in the polymerase chain reaction (PCR) for DNA amplifications (Gupta et al.…”

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confidence: 99%

Molecular mapping of black rot resistance locusXca1boon chromosome 3 inIndian cauliflower (Brassica oleraceavar.botrytisL.)

et al. 2014

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Black rot is the most devastating disease of cauliflower worldwide causing severe damage to crop. The identification of markers linked to loci that control resistance can facilitate selection of plants for breeding programmes. In the present investigation, F 2 population derived from a cross between 'Pusa Himjyoti', a susceptible genotype, and 'BR-161', a resistant genotype, was phenotyped by artificial inoculation using Xcc race 1. Segregation analysis of F 2 progeny indicated that a single dominant locus governed resistance to Xcc race 1 in 'BR-161'. Bulk segregant analysis in resistant and susceptible bulks of F 2 progeny revealed seven differentiating polymorphic markers (three RAPD, two ISSR and two SSR) of 102 markers screened. Subsequently, these markers were used to genotype the entire F 2 population, and a genetic linkage map covering 74.7 cM distance was developed. The major locus Xca1bo was mapped in 1.6-cM interval flanked by the markers RAPD 04 833 and ISSR 11 635 . The Xca1bo locus was located on chromosome 3. The linked markers will be useful for marker-assisted resistance breeding in cauliflower.

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“…The Ppa3 gene was later mapped using a splitting population of backcrosses Molecular-genetic marking of Brassica L. species for resistance against various pathogens: achievements and prospects from the resistant line BR-2. The gene was localized between the flanking RAPD markers OPC14 1189 and OPE14 1881 , not far (26.4 cM) from the marker ISSR-23 1103 (Singh et al, 2012).…”

Section: Downy Mildewmentioning

confidence: 97%

Molecular-genetic marking of Brassica L. species for resistance against various pathogens: achievements and prospects

2019

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Cruciferous plants belonging to the genus Brassica of the Cabbage family (Brassicaceae) are cultivated as vegetables, oilseeds and forage crops; they occupy one of the first places in Russia in the gross yield of vegetables. The yield of cabbage crops is adversely affected by various pathogens, including bacterial, viral and fungal infections. The diseases such as black rot of cabbage (caused by the bacterium Xanthomonas campestris pv. campestris), downy mildew (caused by Hyaloperonospora parasitica), Turnip Mosaic Virus (TuMV) are not included in the list of quarantine diseases in the territory of the Russian Federation and Eurasian Economic Union (EAEU), but they can affect a part of the sown area and lead to significant (up to 100 %) crop losses. The development of cultivars resistant to these pathogens is an important trend in Brassica crop breeding in addition to existing methods of agrotechnical and chemical protection. The development of molecular marker techniques and marker-assisted selection (MAS) methods makes it possible to significantly increase the efficiency of breeding resistant cabbage cultivars. The review contains information on the currently known genes and quantitative trait loci (QTLs) associated with resistance to black rot, downy mildew, and TuMV. Molecular mapping data for resistance genes of Brassica species are shown. The molecular markers (RFLP, AFLP, SSR, EST, SNP, InDel, SLAF and others) closely linked to the resistance loci and SCAR-, STS-and dCAPS-markers derived from them for molecular screening are listed. The use of the markers reviewed to assess the Brassica accessions and lines can help the researchers in finding sources and donors of pathogen resistance of cabbage crops.

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Molecular mapping of the downy mildew resistance genePpa3in cauliflower (Brassica oleraceavar.botrytisL.)

Cited by 22 publications

References 22 publications

Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

Molecular mapping of black rot resistance locusXca1boon chromosome 3 inIndian cauliflower (Brassica oleraceavar.botrytisL.)

Molecular-genetic marking of Brassica L. species for resistance against various pathogens: achievements and prospects

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