Resistance of the Wheat Cultivar ‘Renan’ to Septoria Leaf Blotch Explained by a Combination of Strain Specific and Strain Non-Specific QTL Mapped on an Ultra-Dense Genetic Map

Langlands-Perry, Camilla; Cuenin, Murielle; Bergez, Christophe; Krima, Safa Ben; Gélisse, Sandrine; Sourdille, Pierre; Valade, Romain; Marcel, Thierry C.

doi:10.3390/genes13010100

Cited by 21 publications

(39 citation statements)

References 92 publications

(148 reference statements)

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“…Furthermore, it has been suggested that the removal of highly distorted SNPs or bins during the construction of genetic maps is responsible for fragmentation of the chromosomes ( Gong et al, 2020 ). This was also found in wheat, where a recent ultra-dense genetic map yielded 25 linkage groups for the 21 chromosomes of this crop ( Langlands-Perry et al, 2021 ). Importantly, although the chromosomes in our linkage map are fragmented into subgroups, this does not restrict the use of our linkage map, whose quality was verified by several independent controls.…”

Section: Discussionmentioning

confidence: 58%

High-Density Mapping of Quantitative Trait Loci Controlling Agronomically Important Traits in Quinoa (Chenopodium quinoa Willd.)

et al. 2022

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Quinoa is a pseudocereal originating from the Andean regions. Despite quinoa’s long cultivation history, genetic analysis of this crop is still in its infancy. We aimed to localize quantitative trait loci (QTL) contributing to the phenotypic variation of agronomically important traits. We crossed the Chilean accession PI-614889 and the Peruvian accession CHEN-109, which depicted significant differences in days to flowering, days to maturity, plant height, panicle length, and thousand kernel weight (TKW), saponin content, and mildew susceptibility. We observed sizeable phenotypic variation across F2 plants and F3 families grown in the greenhouse and the field, respectively. We used Skim-seq to genotype the F2 population and constructed a high-density genetic map with 133,923 single nucleotide polymorphism (SNPs). Fifteen QTL were found for ten traits. Two significant QTL, common in F2 and F3 generations, depicted pleiotropy for days to flowering, plant height, and TKW. The pleiotropic QTL harbored several putative candidate genes involved in photoperiod response and flowering time regulation. This study presents the first high-density genetic map of quinoa that incorporates QTL for several important agronomical traits. The pleiotropic loci can facilitate marker-assisted selection in quinoa breeding programs.

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Section: Discussionmentioning

confidence: 58%

High-Density Mapping of Quantitative Trait Loci Controlling Agronomically Important Traits in Quinoa (Chenopodium quinoa Willd.)

et al. 2022

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“…The 13 QTLs identified in this study were compared to over 100 QTLs from six GWAS studies, studies using segregating populations and 24 named Z. tritici genes (Aouini 2018; Langlands-Perry et al 2022; Tabib Ghaffary et al 2018; Yang et al 2018). Firstly, genomic DNA sequences of the 13 QTLs based on the confidence intervals were extracted from the IWGSC RefSeq v1.0 (https://urgi.versailles.inra.fr/).…”

Section: Methodsmentioning

confidence: 99%

Section: Bioinformatic Analysismentioning

confidence: 99%

“…Only 24 major genes for Z. tritici resistance have been reported to date (Aouini 2018;Langlands-Perry et al 2022;Tabib Ghaffary et al 2018;Yang et al 2018), compared to over 200 rust resistance genes (Zhang et al 2020) Milgate). Another possible solution to more sustainable disease resistance would be to stack major genes and APR-QTLs together.…”

Section: Known Resistance Qtls Effectiveness Revealed In Australian E...mentioning

confidence: 99%

“…Major resistance (R) genes are important sources of resistance that wheat breeders can use to protect against Z. tritici . To date, twenty-four Z. tritici major resistance genes have been reported with tightly linked molecular markers, including 12 isolate-specific genes and 12 non-isolate specific genes from wheat (Aouini 2018; Langlands-Perry et al 2022; Tabib Ghaffary et al 2018; Yang et al 2018). However, this fungus has a plastic number of chromosomes, sexual and asexual reproduction systems, and the ability of long-distance migration, which increases the threat of the host resistance being overcome (McDonald and Mundt 2016; Rudd 2015).…”

Section: Introductionmentioning

confidence: 99%

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Multi-stage resistance toZymoseptoria triticirevealed by GWAS in an Australian bread wheat (Triticum aestivumL.) diversity panel

Yang¹,

Ovenden²,

Baxter³

et al. 2022

Preprint

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Septoria tritici blotch (STB) has been ranked the third most important wheat disease in the world, threatening a large area of wheat production. Although major genes play an important role in the protection against Zymoseptoria tritici infection, the lifespan of their resistance unfortunately is very short in modern agriculture systems. Combinations of quantitative resistance with minor effects, therefore, are believed to have prolonged and more durable resistance to Z. tritici. In this study new quantitative trait loci (QTLs) were identified that are responsible for seedling-stage resistance and adult-plant stage resistance (APR). More importantly was the characterisation of a previously unidentified QTL that can provide resistance during different stages of plant growth or multi-stage resistance (MSR). At the seedling stage, we discovered a new isolate-specific QTL, QSt.wai.1A.1. At the adult-plant stage, the new QTL QStb.wai.6A.2 provided stable and consistent APR in multiple sites and years, while the QTL QStb.wai.7A.2 was highlighted to have MSR. The stacking of multiple favourable MSR alleles was found to improve resistance to Z. tritici by up to 40%.

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Quantitative disease resistance in wild Silene vulgaris to its endemic pathogen Microbotryum silenes‐inflatae

Hood,

Nelson,

Cho

et al. 2023

Ecology and Evolution

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The evolution of disease resistances is an expected feature of plant–pathogen systems, but whether the genetics of this trait most often produces qualitative or quantitative phenotypic variation is a significant gap in our understanding of natural populations. These two forms of resistance variation are often associated with differences in number of underlying loci, the specificities of host–pathogen coevolution, as well as contrasting mechanisms of preventing or slowing the infection process. Anther‐smut disease is a commonly studied model for disease of wild species, where infection has severe fitness impacts, and prior studies have suggested resistance variation in several host species. However, because the outcome of exposing the individual host to this pathogen is binary (healthy or diseased), resistance has been previously measured at the family level, as the proportion of siblings that become diseased. This leaves uncertain whether among‐family variation reflects contrasting ratios of segregating discrete phenotypes or continuous trait variation among individuals. In the host Silene vulgaris, plants were replicated by vegetative propagation in order to quantify the infection rates of the individual genotype with the endemic anther‐smut pathogen, Microbotryum silenes‐inflatae. The variance among field‐collected families for disease resistance was significant, while there was unimodal continuous variation in resistance among genotypes. Using crosses between genotypes within ranked resistance quartiles, the offspring infection rate was predicted by the parental resistance values. While the potential remains in this system for resistance genes having major effects, as there were suggestions of such qualitative resistance in a prior study, here the quantitative disease resistance to the endemic anther‐smut pathogen is indicated for S. vulgaris. The variation in natural populations and strong heritability of the trait, combined with severe fitness consequences of anther‐smut disease, suggests that resistance in these host populations is highly capable of responding to disease‐induced selection.

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Resistance of the Wheat Cultivar ‘Renan’ to Septoria Leaf Blotch Explained by a Combination of Strain Specific and Strain Non-Specific QTL Mapped on an Ultra-Dense Genetic Map

Cited by 21 publications

References 92 publications

High-Density Mapping of Quantitative Trait Loci Controlling Agronomically Important Traits in Quinoa (Chenopodium quinoa Willd.)

High-Density Mapping of Quantitative Trait Loci Controlling Agronomically Important Traits in Quinoa (Chenopodium quinoa Willd.)

Multi-stage resistance toZymoseptoria triticirevealed by GWAS in an Australian bread wheat (Triticum aestivumL.) diversity panel

Quantitative disease resistance in wild Silene vulgaris to its endemic pathogen Microbotryum silenes‐inflatae

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