12 research outputs found

    Stable Quantitative Resistance Loci to Blackleg Disease in Canola (Brassica napus L.) Over Continents

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    The hemibiotrophic fungus, Leptosphaeria maculans is the most devastating pathogen, causing blackleg disease in canola (Brassica napus L). To study the genomic regions involved in quantitative resistance (QR), 259–276 DH lines from Darmor-bzh/Yudal (DYDH) population were assessed for resistance to blackleg under shade house and field conditions across 3 years. In different experiments, the broad sense heritability varied from 43 to 95%. A total of 27 significant quantitative trait loci (QTL) for QR were detected on 12 chromosomes and explained between 2.14 and 10.13% of the genotypic variance. Of the significant QTL, at least seven were repeatedly detected across different experiments on chromosomes A02, A07, A09, A10, C01, and C09. Resistance alleles were mainly contributed by ‘Darmor-bzh’ but ‘Yudal’ also contributed few of them. Our results suggest that plant maturity and plant height may have a pleiotropic effect on QR in our conditions. We confirmed that Rlm9 which is present in ‘Darmor-bzh’ is not effective to confer resistance in our Australian field conditions. Comparative mapping showed that several R genes coding for nucleotide-binding leucine-rich repeat (LRR) receptors map in close proximity (within 200 Kb) of the significant trait-marker associations on the reference ‘Darmor-bzh’ genome assembly. More importantly, eight significant QTL regions were detected across diverse growing environments: Australia, France, and United Kingdom. These stable QTL identified herein can be utilized for enhancing QR in elite canola germplasm via marker- assisted or genomic selection strategies

    Inhibition of mycelial growth of <i>L</i>. <i>maculans</i> by the stilbenes resveratrol and pterostilbene.

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    <p>Hyphal plugs were cultured for six days on half strength V8 agar amended with resveratrol or pterostilbene at various concentrations. Mycelial growth is expressed as the percentage (%) of growth in the treatment relative to the control. Vertical bars represent standard deviation. Chemical structures of resveratrol and pterostilbene are shown above graph.</p

    Permeabilization and cell viability of hyphae treated with 50 μg/ml pterostilbene.

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    <p>Uptake over time of 0.5 μM SYTOX green and 1μg/ml fluorescein diacetate (FDA) by hyphae cultures. Left axis: relative SYTOX green fluorescence (fold-change). Right axis: relative FDA fluorescence (%). Vertical bars represent standard deviation. All values were statistically significant at <i>p</i><0.01 in Student’s <i>t</i>-test with degrees of freedom = 8.</p

    Inhibition of conidia germination of five <i>L</i>. <i>maculans</i> isolates by pterostilbene.

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    <p>Conidia (1 x 10<sup>7</sup> spores/ml) germination after 10 days on 2% water agar amended with 50 μg/ml pterostilbene (PTE) or solvent (control, CTRL).</p

    Conidia germination of <i>L</i>. <i>maculans</i> on 2% water agar amended with resveratrol at various concentrations.

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    <p>Colonies were counted after 10 days, and germination is expressed as percentage (%) of number of colonies in the treatment relative to the control. Statistical significance in Student’s <i>t</i>-test at <i>p</i><0.05 (*) and <i>p</i><0.01 (**) with degrees of freedom = 4. Vertical bars represent standard deviation.</p

    SYTOX green (0.5 μM) uptake into hyphae treated with 50 μg/ml pterostilbene.

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    <p>Bright field and fluorescent images for <b>(a)</b> control, <b>(b)</b> hyphae treated for 2 hours and <b>(c)</b> 4 hours. Black arrowheads indicate coagulation of the cytosol within the cytoplasm. White arrowheads indicate SYTOX green staining in the nuclei. Scale bar = 20 μm.</p

    Sporicidal activity of pterostilbene against <i>L</i>. <i>maculans</i> spores.

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    <p>Growth after 10 days on 2% water agar of <b>(a)</b> 1 x 10<sup>7</sup> spores/ml and <b>(b)</b> 1 x 10<sup>2</sup> spores/ml cultures. Conidia (1 x 10<sup>7</sup> spores/ml) were treated with 50 μg/ml of pterostilbene (PTE) or solvent (control, CTRL) and serially diluted to 1 x 10<sup>2</sup> spores/ml.</p

    Inhibition of mycelial growth of ten <i>L</i>. <i>maculans</i> isolates by pterostilbene.

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    <p>Hyphal plugs were cultured for six days on half strength V8 agar amended with 50 μg/ml pterostilbene. Mycelial growth is expressed as the percentage (%) of growth in the treatment relative to the control. Vertical bars represent standard deviation. All values were statistically significant at <i>p</i><0.01 in Student’s <i>t</i>-test with degrees of freedom = 4.</p

    A multiplex PCR for rapid identification of Brassica species in the triangle of U

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    Abstract Background Within the Brassicaceae, six species from the genus Brassica are widely cultivated throughout the world as oilseed, condiment, fodder or vegetable crops. The genetic relationships among the six Brassica species are described by U’s triangle model. Extensive shared traits and diverse morphotypes among Brassica species make identification and classification based on phenotypic data alone challenging and unreliable, especially when dealing with large germplasm collections. Consequently, a major issue for genebank collections is ensuring the correct identification of species. Molecular genotyping based on simple sequence repeat (SSR) marker sequencing or the Illumina Infinium Brassica napus 60K single nucleotide polymorphism (SNP) array has been used to identify species and assess genetic diversity of Brassica collections. However, these methods are technically challenging, expensive and time-consuming, making them unsuitable for routine or rapid screening of Brassica accessions for germplasm management. A cheaper, faster and simpler method for Brassica species identification is described here. Results A multiplex polymerase chain reaction (MPCR) consisting of new and existing primers specific to the Brassica A, B and C genomes was able to reliably distinguish all six Brassica species in the triangle of U with 16 control samples of known species identity. Further validation against 120 Brassica accessions previously genotyped showed that the MPCR is highly accurate and comparable to more advanced techniques such as SSR marker sequencing or the Illumina Infinium B. napus 60K SNP array. In addition, the MPCR was sensitive enough to detect seed contaminations in pooled seed samples of Brassica accessions. Conclusion A cheap and fast multiplex PCR assay for identification of Brassica species in the triangle of U was developed and validated in this study. The MPCR assay can be readily implemented in any basic molecular laboratory and should prove useful for the management of Brassica germplasm collections in genebanks
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