Genetic Characterization of Multiple Components Contributing to Fusarium Head Blight Resistance of FL62R1, a Canadian Bread Wheat Developed Using Systemic Breeding

Zhang, Wentao; Boyle, Kerry; Brûlé‐Babel, Anita L.; Fedak, George; Gao, Peng; Djama, Zeinab Robleh; Polley, Brittany; Cuthbert, Richard D.; Randhawa, H. S.; Jiang, Fengying; Eudes, François; Fobert, Pierre R.

doi:10.3389/fpls.2020.580833

Cited by 11 publications

(20 citation statements)

References 91 publications

(173 reference statements)

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“…Genetic resistance to FHB is quantitative and is the result of several loci that contribute to molecular and physiological differences in the wheat plant. To date, more than 65 quantitative trait loci (QTL) have been identified that contribute to FHB resistance in wheat ( Venske et al, 2019 ), including North American breeding material ( McCartney et al, 2016 ) such as FL62R1 ( Comeau et al, 2008 ; Zhang et al, 2018 , 2020 ), as well as cultivars, such as Alsen, Glenn, Carberry, and AAC Tenacious ( Bokore et al, 2017 ; Dhariwal et al, 2020 ). Pyramiding FHB resistance QTL increases disease resistance ( Venske et al, 2019 ), but unfortunately, many FHB resistance QTL are also associated with poor agronomics and quality, making their transfer into elite varieties a challenge ( Haile et al, 2019 ; Venske et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Histology and RNA Sequencing Provide Insights Into Fusarium Head Blight Resistance in AAC Tenacious

Nilsen

Walkowiak²,

Kumar

et al. 2021

Front. Plant Sci.

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Fusarium head blight (FHB) is a serious fungal disease affecting wheat and other cereals worldwide. This fungus causes severe yield and quality losses from a reduction in grain quality and contamination of grain with mycotoxins. Intensive breeding efforts led to the release of AAC Tenacious, which was the first spring wheat cultivar registered in Canada with a resistant (R) rating to FHB. To elucidate the physiological mechanisms of resistance, we performed histological and transcriptomic analyses of AAC Tenacious and a susceptible control Roblin after inoculation with Fusarium graminearum (Fg). The spikelet and rachis of infected wheat spikes were hand sectioned and monitored by confocal and fluorescent microscopy. Visible hyphae were observed within the inoculated spikelets for AAC Tenacious; however, the infection was largely restricted to the point of inoculation (POI), whereas the adjacent florets in Roblin were heavily infected. Significant cell wall thickening within the rachis node below the POI was evident in AAC Tenacious compared to Roblin in response to Fg inoculation. Rachis node and rachilla tissues from the POI and the rachis node below the POI were collected at 5 days post inoculation for RNAseq. Significant changes in gene expression were detected in both cultivars in response to infection. The rachis node below the POI in AAC Tenacious had fewer differentially expressed genes (DEGs) when compared to the uninoculated control, likely due to its increased disease resistance. Analysis of DEGs in Roblin and AAC Tenacious revealed the activation of genes and pathways in response to infection, including those putatively involved in cell wall modification and defense response.

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Section: Introductionmentioning

confidence: 99%

Histology and RNA Sequencing Provide Insights Into Fusarium Head Blight Resistance in AAC Tenacious

Nilsen

Walkowiak²,

Kumar

et al. 2021

Front. Plant Sci.

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“…A multi-parental spring wheat ( Triticum aestivum L.) population (double haploid population) derived from the cross of FL62R1 (as common parental line) with Stettler, Muchmore, and Emerson was developed as described previously [ 17 ]. FL62R1 is an Eastern Canadian spring wheat line with comparable resistance to Sumai 3, developed by Comeau et al [ 59 ] with a systemic breeding approach.…”

Section: Methodsmentioning

confidence: 99%

“…The multi-parent population was evaluated for FHB resistance in disease nurseries at Carman, Manitoba (MB) and Ottawa, Ontario (ON) in 2015 and 2016 with three biological replications and a random complete block design (RCBD) in single meter rows. Disease trait evaluation and phenotyping were described in detail by Zhang et al [ 17 ]. The evaluated FHB and related traits included INC, SEV, FDK, and DON levels.…”

Section: Methodsmentioning

confidence: 99%

“…These include: (1) resistance to initial infection (Type I, incidence (INC)); resistance to fungal spread across the wheat head (Type II, severity (SEV)); resistance to kernel infection (Type III, Fusarium damaged kernels (FDK)); (2) tolerance to infection, and (3) accumulation of deoxynivalenol (DON) toxin (Type IV) [ 2 , 11 , 12 , 13 , 14 ]. Previous studies indicated that the genetic architectures of these different components are either only partially shared, or independent [ 12 , 15 , 16 , 17 ]. In addition to physiological (active) resistance mechanisms, developmental related traits like flowering time, plant height, and spike morphological traits also affect FHB resistance levels through disease escape (passive) mechanisms [ 12 , 14 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a better understanding of the precision of GS on FHB resistance is needed. In the present study, we aimed to identify and characterize factors that affect accuracies of GS for FHB resistance by analysis of a multi-parental population that we developed previously [ 17 ]. These factors include sample size, GS models, TP optimization, the incorporation of prior QTL, multi-trait and multi-environment models and within family and across family predictions.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Genomic Prediction for Fusarium Head Blight Resistance with a Multi-Parental Population

Zhang

Boyle

Brûlé‐Babel

et al. 2021

Biology

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Fusarium head blight (FHB) resistance is quantitatively inherited, controlled by multiple minor effect genes, and highly affected by the interaction of genotype and environment. This makes genomic selection (GS) that uses genome-wide molecular marker data to predict the genetic breeding value as a promising approach to select superior lines with better resistance. However, various factors can affect accuracies of GS and better understanding how these factors affect GS accuracies could ensure the success of applying GS to improve FHB resistance in wheat. In this study, we performed a comprehensive evaluation of factors that affect GS accuracies with a multi-parental population designed for FHB resistance. We found larger sample sizes could get better accuracies. Training population designed by CDmean based optimization algorithms significantly increased accuracies than random sampling approach, while mean of predictor error variance (PEVmean) had the poorest performance. Different genomic selection models performed similarly for accuracies. Including prior known large effect quantitative trait loci (QTL) as fixed effect into the GS model considerably improved the predictability. Multi-traits models had almost no effects, while the multi-environment model outperformed the single environment model for prediction across different environments. By comparing within and across family prediction, better accuracies were obtained with the training population more closely related to the testing population. However, achieving good accuracies for GS prediction across populations is still a challenging issue for GS application.

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Separation of the effects of two reduced height (Rht) genes and genomic background to select for less Fusarium head blight of short-strawed winter wheat (Triticum aestivum L.) varieties

et al. 2022

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Key message FHB resistance shared pleiotropic loci with plant height and anther retention. Genomic prediction allows to select for genomic background reducing FHB susceptibility in the presence of the dwarfing allele Rht-D1b. Abstract With the high interest for semi-dwarf cultivars in wheat, finding locally adapted resistance sources against Fusarium head blight (FHB) and FHB-neutral reduced height (Rht) genes is of utmost relevance. In this study, 401 genotypes of European origin without/with dwarfing alleles of Rht-D1 and/or Rht24 were analysed across five environments on FHB severity and the morphological traits such as plant height (PH), anther retention (AR), number of spikelets per ear, ear length and ear density. Data were analysed by combined correlation and path analyses, association mapping and coupling single- and multi-trait genome-wide association studies (ST-GWAS and MT-GWAS, respectively) and genomic prediction (GP). All FHB data were corrected for flowering date or heading stage. High genotypic correlation (rg = 0.74) and direct path effect (0.57) were detected between FHB severity and anther retention (AR). Moderate correlation (rg = − 0.55) was found between FHB severity and plant height (PH) with a high indirect path via AR (− 0.31). Indirect selection for FHB resistance should concentrate on AR and PH. ST-GWAS identified 25 quantitative trait loci (QTL) for FHB severity, PH and AR, while MT-GWAS detected six QTL across chromosomes 2A, 4D, 5A, 6B and 7B conveying pleiotropic effects on the traits. Rht-D1b was associated with high AR and FHB susceptibility. Our study identified a promising positively acting pleiotropic QTL on chromosome 7B which can be utilized to improve FHB resistance while reducing PH and AR. Rht-D1b genotypes having a high resistance genomic background exhibited lower FHB severity and AR. The use of GP for estimating the genomic background was more effective than selection of GWAS-detected markers. We demonstrated that GP has a great potential and should be exploited by selecting for semi-dwarf winter wheat genotypes with higher FHB resistance due to their genomic background.

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Genetic Characterization of Multiple Components Contributing to Fusarium Head Blight Resistance of FL62R1, a Canadian Bread Wheat Developed Using Systemic Breeding

Cited by 11 publications

References 91 publications

Histology and RNA Sequencing Provide Insights Into Fusarium Head Blight Resistance in AAC Tenacious

Histology and RNA Sequencing Provide Insights Into Fusarium Head Blight Resistance in AAC Tenacious

Evaluation of Genomic Prediction for Fusarium Head Blight Resistance with a Multi-Parental Population

Separation of the effects of two reduced height (Rht) genes and genomic background to select for less Fusarium head blight of short-strawed winter wheat (Triticum aestivum L.) varieties

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