Low Amplitude Boom-and-Bust Cycles Define the Septoria Nodorum Blotch Interaction

Phan, H.; Jones, Darcy A. B.; Rybak, Kasia; Dodhia, Kejal N; Lopez‐Ruiz, Francisco J.; Valade, Romain; Gout, Lilian; Lebrun, Marc‐Henri; Brunner, Patrick C.; Oliver, Richard P.; Tan, Kar‐Chun

doi:10.3389/fpls.2019.01785

Cited by 20 publications

(44 citation statements)

References 63 publications

(72 reference statements)

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“…While SN15, 15FG114 and WAC13443 harbour SnTox3 haplotype 1, WAC13404 and 16FG168 possess haplotype 5 and 2, respectively (Table 1 , Phan et al . 41 ). The SnTox3 haplotype 1 and 5 encode the same SnTox3 protein isoform I, haplotype 2 encodes SnTox3 isoform II with a 3 aa difference (Supplementary Fig.…”

Section: Resultsmentioning

confidence: 99%

“…To be able to control the disease effectively, information on pathogenicity profiles of the pathogen which exist within a local population is invaluable. Our previous study on Australian P. nodorum population genetic diversity has revealed a five-group structure with contrasting properties 41 . Infection assays indicate that newly emerged isolates were more pathogenic, demonstrating evidence of selection.…”

Section: Discussionmentioning

confidence: 98%

“…Two sub-groups (core group 1 and transient group 5) are contemporary and among the most pathogenic, which is consistent with the finding in Phan et al . 41 . Group 3 isolate was as aggressive as group 5 suggesting that this panel consists of wheat lines of different genetic backgrounds compared to the commercial cultivars used in Phan et al .…”

Section: Discussionmentioning

confidence: 99%

“…For disease resistance to be durable and sustainable, it is important to identify resistance sources which withstand a wide range of pathotypes or genetically diverse isolates of the pathogen of interest. The Australian P. nodorum population has been characterised and consists of five genetically distinct sub-groups with distinct properties 41 . The five groups classified into core and transient sub-populations.…”

Section: Introductionmentioning

confidence: 99%

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GWAS analysis reveals distinct pathogenicity profiles of Australian Parastagonospora nodorum isolates and identification of marker-trait-associations to septoria nodorum blotch

Phan

Furuki

Hunziker

et al. 2021

Sci Rep

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The fungus Parastagonospora nodorum is the causal agent of septoria nodorum leaf blotch (SNB) and glume blotch which are common in many wheat growing regions in the world. The disease is complex and could be explained by multiple interactions between necrotrophic effectors secreted by the pathogen and matching susceptibility genes in wheat. An Australian P. nodorum population was clustered into five groups with contrasting properties. This study was set to identify their pathogenicity profiles using a diverse wheat panel of 134 accessions which are insensitive to SnToxA and SnTox1 in both in vitro and in vivo conditions. SNB seedling resistance/susceptibility to five representative isolates from the five clusters, responses to crude culture-filtrates (CFs) of three isolates and sensitivity to SnTox3 semi-purified effector together with 11,455 SNP markers have been used for linkage disequilibrium (LD) and association analyses. While quantitative trait loci (QTL) on 1D, 2A, 2B, 4B, 5B, 6A, 6B, 7A, 7D chromosomes were consistently detected across isolates and conditions, distinct patterns and isolate specific QTL were also observed among these isolates. In this study, SnTox3–Snn3-B1 interaction for the first time in Australia and SnTox3–Snn3-D1 interaction for the first time in bread wheat were found active using wild-type isolates. These findings could be due to new SnTox3 haplotype/isoform and exotic CIMMYT/ICARDA and Vavilov germplasm used, respectively. This study could provide useful information for dissecting novel and different SNB disease components, helping to prioritise research targets and contributing valuable information on genetic loci/markers for marker-assisted selection in SNB resistance wheat breeding programme.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GWAS analysis reveals distinct pathogenicity profiles of Australian Parastagonospora nodorum isolates and identification of marker-trait-associations to septoria nodorum blotch

Phan

Furuki

Hunziker

et al. 2021

Sci Rep

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“…Although there are a few reports indicating single dominant genes conferring resistance to nodorum blotch (Ma and Hughes, 1995;Murphy et al, 2000), a number of studies have shown that inheritance of resistance is quantitative, involving several minor genes contributing small but additive effects (Aguilar et al, 2005;Friesen and Faris, 2010;Shankar et al, 2008). Resistance is, therefore, mainly partial and may undergo a low-amplitude boom-and-bust cycle in contrast to the classical high amplitude boom-and-bust cycle seen for single major gene resistance to biotrophic diseases (Phan et al, 2020). P. nodorum is heterothallic and ascospores (sexual spores) produced in pseudothecia are the primary source of inoculum (Bathgate and Loughman, 2001;Keller et al, 1997;Solomon et al, 2006).…”

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Effect of varietal resistance on the yield loss function of wheat to nodorum blotch

et al. 2020

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Cultivar disease resistance ratings to nodorum blotch (caused by Parastagonospora nodorum) provide critical information to growers to assist with disease management. However, less has been done in terms of yield losses from diseases under different cultivar resistance scenarios. The purpose of this study was to characterize yield and quality loss responses to wheat nodorum blotch as influenced by variety partial resistance, epidemic intensity, and environment. The trial series includes four site/years in Western Australia. Five varieties, Magenta, Calingiri, Trojan, Janz, and Scout were used for all four trials. These varieties represented resistant/susceptible categories MRMS, MS, MSS, S, and SVS, respectively, and were selected on the basis that they were adapted to the western region, had similar maturities, and were resistant to diseases that were potential contaminants. Trials were sown in a strip‐plot design with three replicates and five disease levels, with intersecting main‐plots of varieties and disease levels, which facilitated comparisons across disease levels within varieties. Current categories of resistance were well reflected in yield and quality responses. A negative exponential relationship was observed between yield and disease, with a nonlinear yield loss function for both flag leaf and glume infection. This indicates that yield is most affected during early stages of disease on flag leaves and glumes. The functional form of yield loss response over four site years was similar among varieties, but varieties differed in their extent of disease expression. Partial resistance in commercial wheat varieties reduced yield loss by 40%–60% of losses observed in susceptible varieties.

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Genome-Wide Resources for Genetic Locus Discovery and Gene Functional Analysis in Wheat

Cockram

2023

Compendium of Plant Genomes

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Future wheat production faces considerable challenges, such as how to ensure on-farm yield gains across agricultural environments that are increasingly challenged by factors such as soil erosion, environmental change and rapid changes in crop pest and disease profiles. Within the context of crop improvement, the ability to identify, track and deploy specific combinations of genes tailored for improved crop performance in target environments will play an important role in ensuring future sustainable wheat production. In this chapter, a range of germplasm resources and populations are reviewed can be exploited for genetic locus discovery, characterisation and functional analysis in wheat. These include experimental populations constructed from two or more parents, association mapping panels and artificially mutated populations. Efficient integration of the knowledge gained from exploiting such resources with other emerging breeding approaches and technologies, such as high-throughput field phenotyping, multi-trait ensemble phenotypic weighting and genomic selection, will help underpin future breeding for improved crop performance, quality and resilience.

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Low Amplitude Boom-and-Bust Cycles Define the Septoria Nodorum Blotch Interaction

Cited by 20 publications

References 63 publications

GWAS analysis reveals distinct pathogenicity profiles of Australian Parastagonospora nodorum isolates and identification of marker-trait-associations to septoria nodorum blotch

GWAS analysis reveals distinct pathogenicity profiles of Australian Parastagonospora nodorum isolates and identification of marker-trait-associations to septoria nodorum blotch

Effect of varietal resistance on the yield loss function of wheat to nodorum blotch

Genome-Wide Resources for Genetic Locus Discovery and Gene Functional Analysis in Wheat

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