The action of three <i>Beet yellows virus</i> resistance QTLs depends on alleles at a novel genetic locus that controls symptom development

Grimmer, M. K.; Bean, K. M. R.; Qi, Aiming; Stevens, Mark I.; Asher, M. J. C.

doi:10.1111/j.1439-0523.2008.01515.x

Cited by 14 publications

(6 citation statements)

References 40 publications

(39 reference statements)

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“…An important technique that has improved the efficiency of selection in numerous crops is marker-assisted selection (MAS). Numerous studies have identified markers associated with traits in sugar beet including root elongation and glucose and fructose content (Stevanato et al, 2010), sucrose content and quality (Schneider et al, 2002), cytoplasmic male sterility (CMS) (Hjerdin-Panagopoulos et al, 2002;Honma et al, 2014;Moritani et al, 2013), post-winter bolting resistance (Pfeiffer et al, 2014), yield (Schwegler et al, 2014), and resistances to beet diseases including: Rhizomania (Beet Necrotic Yellow Vein Virus; BNYVV) (Barzen et al, 1997;Gidner et al, 2005;Grimmer et al, 2007a;Lein et al, 2007;Scholten et al, 1999), beet yellows virus (BYV) (Grimmer et al, 2008), powdery mildew (Erysiphe polygoni DC.) (Grimmer et al, 2007b;Janssen et al, 2003), Aphanomyces root rot (Aphanomyces cochlioides Drechsler) (Taguchi et al, 2009(Taguchi et al, , 2010, root-knot nematode (Meloidogyne spp.)…”

Section: Core Ideasmentioning

confidence: 99%

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome

et al. 2023

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The necrotrophic fungus Rhizoctonia solani Kühn is a major concern for table beet (Beta vulgaris L. ssp. vulgaris) producers across the United States causing upward of 75% losses in severe instances. Thus far, there have been minimal efforts to incorporate host resistance to R. solani in table beet germplasm. To investigate the genetic control of R. solani resistance in table beet, we developed two mapping populations. Parents of the two populations were a Rhizoctonia‐susceptible table beet inbred W357A and a resistant sugar beet germplasm FC709‐2 (sugar beet resistance population, SBRP) and a Rhizoctonia‐resistant table beet inbred W364B and a susceptible sugar beet inbred FC901/C817 (table beet resistance population, TBRP). In Spring 2020, F2:3 families were evaluated for response to artificial inoculation with R. solani AG 2‐2 IIIB isolate R1 in replicated greenhouse experiments. This work also represents the first use of the W357B table beet reference genome, utilized here to align genotyping‐by‐sequencing reads to identify polymorphic markers. Using interval linkage mapping, we identified one quantitative trait locus (QTL) in each of the two populations, each accounting for 30% of the phenotypic variation. The QTL in both the SBRP and TBRP were found on chromosome 2 and contained several putative resistance genes in annotations of the Beta vulgaris and Arabidopsis thaliana genomes. This is the first report of a QTL on chromosome 2 for resistance to R. solani in B. vulgaris ssp. vulgaris and the first identification of QTL for disease resistance in table beet. The newly developed table beet reference genome and markers identified in this study may be of value for marker‐assisted selection in breeding for resistance to R. solani in both sugar beet and table beet breeding programs.

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Section: Core Ideasmentioning

confidence: 99%

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome

et al. 2023

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“…Anchoring of linkage groups to specific sugar beet chromosomes was achieved by identification of common, dominant AFLP marker alleles with previous populations (Grimmer et al ., 2007a,b; Grimmer et al ., 2008; unpublished data) and by the inclusion of previously published SNP markers in the 06‐158 BC 1 (BNYVV test) population. Informative dominant AFLP marker alleles for anchoring of linkage groups with previously published groups containing SNP markers were EAGA/MACT‐246 (Grimmer et al ., 2008), EAGC/MATA‐67 and EAGA/MCAA‐77 (Grimmer et al ., 2007a). The latter marker allele was referred to as EAGA/MCAA‐76 in the previous publication.…”

Section: Resultsmentioning

confidence: 99%

Selection and characterization of resistance to Polymyxa betae, vector of Beet necrotic yellow vein virus, derived from wild sea beet

Asher¹,

Grimmer

Mutasa-Goettgens³

2009

Plant Pathology

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The plasmodiophoromycete Polymyxa betae is an obligate root parasite that transmits Beet necrotic yellow vein virus (BNYVV), the cause of sugar beet rhizomania disease. Currently, control of this disease is achieved through the use of cultivars with monogenic ( Rz1 ) partial resistance to the virus. To improve the level and durability of this resistance, sources of resistance to the virus vector, P. betae , were sought. Over 100 accessions of the wild sea beet ( Beta vulgaris ssp. maritima ) from European coastal regions were evaluated for resistance in controlled environment tests. Quantification of P. betae biomass in seedling roots was achieved using recombinant antibodies raised to a glutathione-s-transferase expressed by the parasite in vivo . Several putative sources of resistance were identified and selected plants from these were hybridized with a male-sterile sugar beet breeding line possessing partial virus resistance ( Rz1 ). Evaluation of F 1 hybrid populations identified five in which P. betae resistance had been successfully transferred from accessions originating from Mediterranean, Adriatic and Baltic coasts. A resistant individual from one of these populations was backcrossed to the sugar beet parent to produce a BC 1 population segregating for P. betae resistance. This population was also tested for resistance to BNYVV. Amplified fragment length polymorphism and single-nucleotide polymorphism markers were used to map resistance quantitative trait loci (QTL) to linkage groups representing specific chromosomes. QTL for resistance to both P. betae and BNYVV were co-localized on chromosome IV in the BC 1 population, indicating resistance to rhizomania conditioned by vector resistance. This resistance QTL ( Pb1 ) was shown in the F 1 population to reduce P. betae levels through interaction with a second QTL ( Pb2 ) found on chromosome IX, a relationship confirmed by general linear model analysis. In the BC 1 population, vector-derived resistance from wild sea beet combined additively with the Rz1 virus resistance gene from sugar beet to reduce BNYVV levels. With partial virus resistance already deployed in a number of high-yielding sugar beet cultivars, the simple Pb1 / Pb2 two-gene system represents a valuable additional target for plant breeders.

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“…The exception is that of rhizomania resistance (Giorio et al 1997;Scholten and Lange 2000;Gidner et al 2005;Grimmer et al 2008;Amiri et al 2009). Rhizomania (crazy root) severely impacts yield and has worldwide economic importance.…”

Section: Present Situationmentioning

confidence: 96%

“…sucrose percentage), or the traits are subject to non-additive variation (e.g. root yield), that is, the combination of genes and alleles and their interactions may be more important than the state of the genes themselves (Schafer-Pregl et al 1999;Nilsson et al 1999;Setiawan et al 2000;HjerdinPanagopoulos et al 2002;Schneider et al 2002;Lein et al 2007;Grimmer et al 2008;Stevanato et al 2010;Taguchi et al 2010). This is where molecular markers can be used to gain clarity into the quantitative genetic contributions (e.g., quantitative trait loci, QTLs) as well as provide some context in which they can be deployed effectively, prior to applying markers for assisted selection.…”

Section: Present Situationmentioning

confidence: 98%

Assisted Breeding in Sugar Beets

McGrath

2010

Sugar Tech

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Molecular insight and methods applied to plant breeding and germplasm enhancement is the goal of assisted breeding, also known as marker assisted breeding, marker assisted selection, molecular plant breeding, or genome-wide selection, among others. The basic idea is that most, if not all, heritable components of agronomic performance can be assayed with an unbiased, uniform, and comparatively inexpensive set of measures that are highly or completely correlated with phenotypic values. Typically such heritable components are genetically controlled, thus the panoply of DNA-based correlative methods should provide the requisite tools for assisted breeding to be successful. Whether DNA-based methods are successful in predicting agronomic performance depends on a host of considerations, many of which remain to be completely addressed for sugar beet, and thus assisted breeding remains somewhat empirical in practice, at least with respect to the specific traits of interest. Most sugar beet breeding and improvement programs have initiated assisted breeding efforts, primarily as a first step to discover marker associations with traits. These initial activities serve a number of important functions such as determining the complexity of trait inheritance, narrowing the possible range of genes and loci involved in phenotypic expression in different populations, and following the progress of sugar beet improvement following hybridization with wild and unadapted germplasm. It is unlikely that breeding will or should ever rely completely on assisted methods, however selection of the most promising germplasm can be greatly accelerated using molecular insights and knowledge.

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The action of three Beet yellows virus resistance QTLs depends on alleles at a novel genetic locus that controls symptom development

Cited by 14 publications

References 40 publications

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome

Selection and characterization of resistance to Polymyxa betae, vector of Beet necrotic yellow vein virus, derived from wild sea beet

Assisted Breeding in Sugar Beets

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The action of three Beet yellows virus resistance QTLs depends on alleles at a novel genetic locus that controls symptom development

Cited by 14 publications

References 40 publications

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F2:3 populations using a new table beet reference genome

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F2:3 populations using a new table beet reference genome

Selection and characterization of resistance to Polymyxa betae, vector of Beet necrotic yellow vein virus, derived from wild sea beet

Assisted Breeding in Sugar Beets

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Product

Resources

About

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome

Novel QTL associated with Rhizoctonia solani Kühn resistance identified in two table beet × sugar beet F_2:3 populations using a new table beet reference genome