Cucumber (Cucumis sativus) Breeding Line with Young Fruit Resistance to Infection by Phytophthora capsici

Grumet, Rebecca; Colle, Marivi

doi:10.21273/hortsci11423-16

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…Of the eight accessions retained for analysis, these two accessions were the only that were not F1 hybrid varieties. One possible explanation for this slight decrease in heritability could be that these two seed sources were partially heterogenous and segregating for disease resistance, as has been observed within open-pollinated accessions of other species (Davis et al 2007; Grumet and Colle 2017).…”

Section: Discussionmentioning

confidence: 91%

Quantitative genetic analysis of interactions in the pepper-Phytophthora capsici pathosystem

Vogel

Giles

Robbins

et al. 2021

Preprint

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The development of pepper cultivars with durable resistance to the oomycete Phytophthora capsici has been challenging due to differential interactions between the species that allow certain pathogen isolates to cause disease on otherwise resistant host genotypes. Currently, little is known about the pathogen genes that are involved in these interactions. To investigate the genetic basis of P. capsici virulence on individual pepper genotypes, we inoculated sixteen pepper accessions — representing commercial varieties, sources of resistance, and host differentials — with 117 isolates of P. capsici, for a total of 1,864 host-pathogen combinations. Analysis of disease outcomes revealed a significant effect of inter-species genotype-by-genotype interactions, although these interactions were quantitative rather than qualitative in scale. Isolates were classified into five pathogen subpopulations, as determined by their genotypes at over 60,000 single-nucleotide polymorphisms (SNPs). While absolute virulence levels on certain pepper accessions significantly differed between subpopulations, a multivariate phenotype reflecting relative virulence levels on certain pepper genotypes compared to others showed the strongest association with pathogen subpopulation. A genome-wide association study (GWAS) identified four pathogen loci significantly associated with virulence, two of which colocalized with putative RXLR effector genes and another with a polygalacturonase gene cluster. All four loci appeared to represent broad-spectrum virulence genes, as significant SNPs demonstrated consistent effects regardless of the host genotype tested. Host genotype-specific virulence variants in P. capsici may be difficult to map via GWAS, perhaps controlled by many genes of small effect or by multiple alleles that have arisen independently at the same loci.

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Section: Discussionmentioning

confidence: 91%

Quantitative genetic analysis of interactions in the pepper-Phytophthora capsici pathosystem

Vogel

Giles

Robbins

et al. 2021

Preprint

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“…The source of young fruit resistance was MSU109483-53 ( Grumet and Colle, 2017 ), a breeding line obtained through a series of pure line selections from PI 109483, a landrace collected from Türkiye. Seed from MSU109483-53 was used for doubled haploid (DH) production via in vivo- induced parthenogenic embryo culture generously performed by Rijk Zwaan (De Lier, Netherlands).…”

Section: Methodsmentioning

confidence: 99%

“…One of them, PI 109483 from Türkiye, exhibited stable resistance in the following generations of selfing. The resulting S 6 progeny was released as a breeding line MSU 109483-53 ( Grumet and Colle, 2017 ). The breeding line was later used for doubled haploid (DH) production, and the DH line ‘A4-3’, which shows delayed and reduced symptoms and slower rate of pathogen growth ( Zhang et al., 2021 ), was used to study young fruit resistance.…”

Section: Introductionmentioning

confidence: 99%

Identification of QTL associated with resistance to Phytophthora fruit rot in cucumber (Cucumis sativus L.)

Lin,

Mansfeld,

Tang

et al. 2023

Front. Plant Sci.

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Phytophthora fruit rot (PFR) caused by the soilborne oomycete pathogen, Phytophthora capsici, can cause severe yield loss in cucumber. With no resistant variety available, genetic resources are needed to develop resistant varieties. The goal of this work was to identify quantitative trait loci (QTL) associated with resistance to PFR using multiple genomic approaches and populations. Two types of resistances have been identified: age-related resistance (ARR) and young fruit resistance. ARR occurs at 12-16 days post pollination (dpp), coinciding with the end of exponential fruit growth. A major QTL for ARR was discovered on chromosome 3 and a candidate gene identified based on comparative transcriptomic analysis. Young fruit resistance, which is observed during the state of rapid fruit growth prior to commercial harvest, is a quantitative trait for which multiple QTL were identified. The largest effect QTL, qPFR5.1, located on chromosome 5 was fine mapped to a 1-Mb region. Genome-wide association studies (GWAS) and extreme-phenotype genome-wide association study (XP-GWAS) for young fruit resistance were also performed on a cucumber core collection representing > 96% of the genetic diversity of the USDA cucumber germplasm. Several SNPs overlapped with the QTL identified from QTL-seq analysis on biparental populations. In addition, novel SNPs associated with the resistance were identified from the germplasm. The resistant alleles were found mostly in accessions from India and South Asia, the center of diversity for cucumber. The results from this work can be applied to future disease resistance studies and marker-assisted selection in breeding programs.

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“…Three cucumber cultigens were used for these experiments: susceptible pickling cucumber breeding line, “Gy14” (originally obtained from the University of Wisconsin and multiplied in the greenhouse); the slicing cucumber cultivar, “Poinsett 76” (Seedway, LLC, Hall, NY, United States), with age-related resistance (ARR) to P. capsici ; and the doubled haploid breeding line “A4-3,” with moderate young-fruit resistance to P. capsici “A4-3” was derived from breeding line MSU 109483-5-3, a self-pollinated line from cucumber PI109483 ( Grumet and Colle, 2017 ). The doubled haploid line was generously produced by Rijk-Zwaan, Netherlands.…”

Section: Methodsmentioning

confidence: 99%

“…Fruits of “Poinsett 76,” which exhibits ARR ( Mansfeld et al, 2020 ) were harvested at 8 vs. 16 days post pollination (dpp); 16 dpp fruit were used for comparisons of “Poinsett 76” (ARR+) and “Gy14” (ARRı-). For the comparisons of young fruit from “Gy14” and “A4-3,” trellised plants were grown in the field and pollinated by bees under growing conditions as described by Grumet and Colle (2017) . Once the period of fruit set began, young fruits were harvested at 5–7 dpp as assessed by fruit size.…”

Section: Methodsmentioning

confidence: 99%

Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo

et al. 2021

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Effective assessment of pathogen growth can facilitate screening for disease resistance, mapping of resistance loci, testing efficacy of control measures, or elucidation of fundamental host-pathogen interactions. Current methods are often limited by subjective assessments, inability to detect pathogen growth prior to appearance of symptoms, destructive sampling, or limited capacity for replication and quantitative analysis. In this work we sought to develop a real-time, in vivo, high-throughput assay that would allow for quantification of pathogen growth. To establish such a system, we worked with the broad host-range, highly destructive, soil-borne oomycete pathogen, Phytophthora capsici. We used an isolate expressing red fluorescence protein (RFP) to establish a microtiter plate, real-time assay to quantify pathogen growth in live tissue. The system was successfully used to monitor P. capsici growth in planta on cucumber (Cucumis sativus) fruit and pepper (Capsicum annuum) leaf samples in relation to different levels of host susceptibility. These results demonstrate usefulness of the method in different species and tissue types, allowing for highly replicated, quantitative time-course measurements of pathogen growth in vivo. Analyses of pathogen growth during initial stages of infection preceding symptom development show the importance of very early stages of infection in determining disease outcome, and provide insight into points of inhibition of pathogen growth in different resistance systems.

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Cucumber (Cucumis sativus) Breeding Line with Young Fruit Resistance to Infection by Phytophthora capsici

Cited by 8 publications

References 11 publications

Quantitative genetic analysis of interactions in the pepper-Phytophthora capsici pathosystem

Quantitative genetic analysis of interactions in the pepper-Phytophthora capsici pathosystem

Identification of QTL associated with resistance to Phytophthora fruit rot in cucumber (Cucumis sativus L.)

Quantitative High-Throughput, Real-Time Bioassay for Plant Pathogen Growth in vivo

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