Wheat leaf rust.

McCallum, B.; Hiebert, Colin W.; Huerta‐Espino, Julio; Cloutier, Sylvie; Sharma, Isha

doi:10.1079/9781845938185.0033

Cited by 26 publications

(17 citation statements)

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“…WLR is wide spread and is managed through the application of fungicides and by deploying host resistance ( R ) genes in wheat cultivars. R genes confer resistance to one or more races (pathotypes) of rust and at present more than 60 such genes have been identified in wheat . WLR races are closely related and are defined by their ability to overcome R genes.…”

Section: Introductionmentioning

confidence: 99%

Proteome of monoclonal antibody-purified haustoria fromPuccinia triticinaRace-1

et al. 2015

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Puccinia triticina causes leaf rust, a disease that causes annual yield losses in wheat. It is an obligate parasite that invades the host leaf and forms intracellular structures called haustoria, which obtain nutrients and suppress host immunity using secreted proteins called effectors. Since effector proteins act at the frontier between plant and pathogen and help determine the outcome of the interaction, it is critical to understand their functions. Here, we used a direct proteomics approach to identify effector candidates from P. triticina Race 1 haustoria isolated with a specific monoclonal antibody. Haustoria were >95% pure and free of host contaminants. Using high resolution MS we have identified 1192 haustoria proteins. These were quantified using normalized spectral counts and spanned a dynamic range of three orders of magnitude, with unknown proteins and metabolic enzymes as the most highly represented. The dataset contained 140 candidate effector proteins, based on the presence of a signal peptide and the absence of a known function for the protein. Some of these candidates were significantly enriched with cysteine, with up to 13 residues per protein and up to 6.8% cysteine in composition.

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Section: Introductionmentioning

confidence: 99%

Proteome of monoclonal antibody-purified haustoria fromPuccinia triticinaRace-1

et al. 2015

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“…More than 60 genes for leaf rust resistance have been identified in common wheat (McCallum et al. ); but only a few of them have been detected in durum wheat such as Lr14a gene on chromosome 7B, which originated from the emmer wheat ‘Yaroslav’ and were then transferred to the hexaploid wheat (McFadden ). Lr23 was transferred to common wheat from durum wheat cv .…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Macroscopic and Microscopic Components of Partial Resistance to Leaf Rust in Durum Wheat

Soleiman

Solís

Sillero

et al. 2013

Journal of Phytopathology

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Leaf rust, caused by the fungus Puccinia triticina, is considered one of the most important foliar diseases in durum wheat. Hypersensitive resistance (HR) may be rapidly overcome by the pathogen when resistant cultivars are grown on a large acreage or following changes in virulence in the pathogen population. Prolonging the durability of the resistance requires uses of other types of resistance such as partial resistance (PR). In this study, six durum wheat lines provided by the International Center for Corn and Wheat Improvement (CIMMYT) with a high level of PR to leaf rust were studied in monocyclic tests in a growth chamber. Inoculations were performed on both primary and fifth leaves using the Spanish race DGB/BN. UV fluorescence microscopy was employed to determine microscopic components of the resistance, such as the number of early aborted infection units not associated with plant cell necrosis (EAÀ) and relative colony size (RCS) of the established infection units. Macroscopic components of PR such as latency period, infection frequency and uredinium size were measured as well. All six resistant lines were characterized by a higher EAÀ and smaller RCS respect to the susceptible control 'Don Rafael'. Line 3 showed the highest level of PR. It had 22% of EAÀ compared with 4% in the susceptible control, and the smallest RCS (17% respect to RCS of 'Don Rafael') at adult plant stage. Both EAÀ and RCS had a high heritability (more than 97%) and the correlation with macroscopic parameters (latency period and uredinium size) was also high (significant at 0.001 level). Hence, PR to leaf rust in these durum wheat genotypes has been revealed at microscopic level (higher EAÀ and smaller RCS).

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“…Coffee leaf rust (Hemileia vastatrix) is substantially damaging Coffee plantations worldwide (Talhinhas et al, 2017). Similarly, wheat leaf rusts like Puccinia triticina, Puccinia recondite, and Puccinia striiformis are causing serious production losses for one of the world's biggest food crops (McCallum, Hiebert, Huerta-Espino, & Cloutier, 2012).…”

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confidence: 99%

Biases in the metabarcoding of plant pathogens using rust fungi as a model system

et al. 2018

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Plant pathogens such as rust fungi (Pucciniales) are of global economic and ecological importance. This means there is a critical need to reliably and cost‐effectively detect, identify, and monitor these fungi at large scales. We investigated and analyzed the causes of differences between next‐generation sequencing (NGS) metabarcoding approaches and traditional DNA cloning in the detection and quantification of recognized species of rust fungi from environmental samples. We found significant differences between observed and expected numbers of shared rust fungal operational taxonomic units (OTUs) among different methods. However, there was no significant difference in relative abundance of OTUs that all methods were capable of detecting. Differences among the methods were mainly driven by the method's ability to detect specific OTUs, likely caused by mismatches with the NGS metabarcoding primers to some Puccinia species. Furthermore, detection ability did not seem to be influenced by differences in sequence lengths among methods, the most appropriate bioinformatic pipeline used for each method, or the ability to detect rare species. Our findings are important to future metabarcoding studies, because they highlight the main sources of difference among methods, and rule out several mechanisms that could drive these differences. Furthermore, strong congruity among three fundamentally different and independent methods demonstrates the promising potential of NGS metabarcoding for tracking important taxa such as rust fungi from within larger NGS metabarcoding communities. Our results support the use of NGS metabarcoding for the large‐scale detection and quantification of rust fungi, but not for confirming the absence of species.

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Wheat leaf rust.

Cited by 26 publications

References 0 publications

Proteome of monoclonal antibody-purified haustoria fromPuccinia triticinaRace-1

Proteome of monoclonal antibody-purified haustoria fromPuccinia triticinaRace-1

Evaluation of Macroscopic and Microscopic Components of Partial Resistance to Leaf Rust in Durum Wheat

Biases in the metabarcoding of plant pathogens using rust fungi as a model system

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