Validation and identification of molecular markers linked to the leaf rust resistance gene Lr28 in wheat

Bipinraj, Annapurnalilly; Honrao, B. K.; Prashar, M.; Bhardwaj, S. C.; Rao, Suryaprakasa; Tamhankar, Shubhada

doi:10.1007/s13353-010-0026-9

Cited by 26 publications

(10 citation statements)

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“…Besides Lr1 , Lr3 , Lr68 , a number of quantitative trait loci ( Table 2 ) were mapped to approximately the locations of loci Lr26 (QTL 1B_2) [ 29 ], Lr42 (1D_t1) [ 44 ], Lr21 (1D_3), Lr17 (2A_1), [ 42 ], Lr11 (2A_3) [ 45 ], Lr28 (4A_t2) [ 46 ], Lr14 (7B_3) [ 47 ], QLr.cimmyt-1BS (1B_1) [ 48 ], QLr.cdl-5BL (5B_2) [ 49 ], and possibly Lr30 and others [ 50 , 51 ]. However, due to the lack of pedigree and donor line genotype information (within this panel), and also the near fixation of some alleles within sub-population 1 (i.e., majority of Thatcher NILs have the same allele), more genetic experiments are needed to further confirm these postulations, especially for those that are postulated based primarily on position.…”

Section: Resultsmentioning

confidence: 99%

Genome Wide Association Study of Seedling and Adult Plant Leaf Rust Resistance in Elite Spring Wheat Breeding Lines

et al. 2016

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Leaf rust is an important disease, threatening wheat production annually. Identification of resistance genes or QTLs for effective field resistance could greatly enhance our ability to breed durably resistant varieties. We applied a genome wide association study (GWAS) approach to identify resistance genes or QTLs in 338 spring wheat breeding lines from public and private sectors that were predominately developed in the Americas. A total of 46 QTLs were identified for field and seedling traits and approximately 20–30 confer field resistance in varying degrees. The 10 QTLs accounting for the most variation in field resistance explained 26–30% of the total variation (depending on traits: percent severity, coefficient of infection or response type). Similarly, the 10 QTLs accounting for most of the variation in seedling resistance to different races explained 24–34% of the variation, after correcting for population structure. Two potentially novel QTLs (QLr.umn-1AL, QLr.umn-4AS) were identified. Identification of novel genes or QTLs and validation of previously identified genes or QTLs for seedling and especially adult plant resistance will enhance understanding of leaf rust resistance and assist breeding for resistant wheat varieties. We also developed computer programs to automate field and seedling rust phenotype data conversions. This is the first GWAS study of leaf rust resistance in elite wheat breeding lines genotyped with high density 90K SNP arrays.

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Section: Resultsmentioning

confidence: 99%

Genome Wide Association Study of Seedling and Adult Plant Leaf Rust Resistance in Elite Spring Wheat Breeding Lines

et al. 2016

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“…The Lr28 gene was derived from Aegilops speltoides (Tausch) that is effective against all pathotypes of the pathogen in India [34]. Puccinia triticina pathotype 77-5, the most predominant and devastating pathotype in all parts of the Indian subcontinent, was selected as experimental pathogen.…”

Section: Methodsmentioning

confidence: 99%

Discovery of Novel Leaf Rust Responsive microRNAs in Wheat and Prediction of Their Target Genes

Kumar

Singh

Kanodia

et al. 2014

Journal of Nucleic Acids

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MicroRNAs are endogenous small noncoding RNAs which play critical roles in gene regulation. Few wheat (Triticum aestivum L.) miRNA sequences are available in miRBase repertoire and knowledge of their biological functions related to biotic stress is limited. We identified 52 miRNAs, belonging to 19 families, from next-generation transcriptome sequence data based on homology search. One wheat specific novel miRNA was identified but could not be ascribed or assigned to any known miRNA family. Differentially expressed 22 miRNAs were found between susceptible and resistant wheat near-isogenic lines inoculated with leaf rust pathogen Puccinia triticina and compared with mock inoculated controls. Most miRNAs were more upregulated in susceptible NIL compared to resistant NIL. We identified 1306 potential target genes for these 52 miRNAs with vital roles in response to stimuli, signaling, and diverse metabolic and cellular processes. Gene ontology analysis showed 66, 20, and 35 target genes to be categorized into biological process, molecular function, and cellular component, respectively. A miRNA-mediated regulatory network revealed relationships among the components of the targetome. The present study provides insight into potential miRNAs with probable roles in leaf rust pathogenesis and their target genes in wheat which establish a foundation for future studies.

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“…Markers for QLr.spa-4A were placed with the SSR markers wmc491 and wmc680 (S1 Fig) that are assigned to chromosome 4AL [34]. Although the seedling resistance gene Lr28 is located on 4AL [51,62], Lr28 associated SSR markers wmc313, gwm160 and barc78 [63] are about 105 cM distant from the SNP markers defining QLr.spa-4A on our map. The only other resistance reported on 4AL was by Gerard et al [64] but their QTL is located in a similar region as Lr28/Sr17.…”

Section: Qtl Detected In a Single Cultivarmentioning

confidence: 99%

Mapping quantitative trait loci associated with leaf rust resistance in five spring wheat populations using single nucleotide polymorphism markers

et al. 2020

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Growing resistant wheat (Triticum aestivum L) varieties is an important strategy for the control of leaf rust, caused by Puccinia triticina Eriks. This study sought to identify the chromosomal location and effects of leaf rust resistance loci in five Canadian spring wheat cultivars. The parents and doubled haploid lines of crosses Carberry/AC Cadillac, Carberry/Vesper, Vesper/Lillian, Vesper/Stettler and Stettler/Red Fife were assessed for leaf rust severity and infection response in field nurseries in Canada near Swift Current, SK from 2013 to 2015, Morden, MB from 2015 to 2017 and Brandon, MB in 2016, and in New Zealand near Lincoln in 2014. The populations were genotyped with the 90K Infinium iSelect assay and quantitative trait loci (QTL) analysis was performed. A high density consensus map generated based on 14 doubled haploid populations and integrating SNP and SSR markers was used to compare QTL identified in different populations. AC Cadillac contributed QTL on chromosomes 2A, 3B and 7B (2 loci), Carberry on 1A, 2B (2 loci), 2D, 4B (2 loci), 5A, 6A, 7A and 7D, Lillian on 4A and 7D, Stettler on 2D and 6B, Vesper on 1B, 1D, 2A, 6B and 7B (2 loci), and Red Fife on 7A and 7B. Lillian contributed to a novel locus QLr.spa-4A, and similarly Carberry at QLr.spa-5A. The discovery of novel leaf rust resistance QTL QLr.spa-4A and QLr.spa-5A, and several others in contemporary Canada Western Red Spring wheat varieties is a tremendous addition to our present knowledge of resistance gene deployment in breeding. Carberry demonstrated substantial stacking of genes which could be supplemented with the genes identified in other cultivars with the PLOS ONE PLOS ONE | https://doi.org/10.1371/journal.pone.0230855 April 8, 2020 1 / 22 OPEN ACCESS Citation: Bokore FE, Knox RE, Cuthbert RD, Pozniak CJ, McCallum BD, N'Diaye A, et al. (2020) Mapping quantitative trait loci associated with leaf rust resistance in five spring wheat populations using single nucleotide polymorphism markers. PLoS ONE 15(4): e0230855. https://doi.org/ 10.

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Validation and identification of molecular markers linked to the leaf rust resistance gene Lr28 in wheat

Cited by 26 publications

References 10 publications

Genome Wide Association Study of Seedling and Adult Plant Leaf Rust Resistance in Elite Spring Wheat Breeding Lines

Genome Wide Association Study of Seedling and Adult Plant Leaf Rust Resistance in Elite Spring Wheat Breeding Lines

Discovery of Novel Leaf Rust Responsive microRNAs in Wheat and Prediction of Their Target Genes

Mapping quantitative trait loci associated with leaf rust resistance in five spring wheat populations using single nucleotide polymorphism markers

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