A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits

Wenzl, Peter; Li, Haobing; Carling, Jason; Zhou, M.P.; Raman, Harsh; Paul, E. M.; Hearnden, P.; Maier, Christina; Lan, Xiujin; Caig, Vanessa; Ovesná, Jaroslava; Çakır, M.; Poulsen, David Me; Wang, Junping; Raman, Rosy; Smith, Kevin P.; Muehlbauer, Gary J.; Chalmers, K. J.; Kleinhofs, A.; Huttner, Eric; Kilian, Andrzej

doi:10.1186/1471-2164-7-206

Cited by 322 publications

(268 citation statements)

References 47 publications

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“…More than 43% of the markers on the present barley integrated map target expressed sequence tags (EST) or gene sequences (gene-targeted markers [GTM]) and can be used for candidate gene identification (Rostoks et al 2005;Marcel et al 2007b) or to perform synteny analyses (Rostoks et al 2005;Stein et al 2007). The Steptoe/Morex (StMo) map contributed more than half of the total number of markers (3,561 markers) to the integrated map, most of them coming from the recently released array-based marker data sets (Wenzl et al 2006;Potokina et al 2008). The very low percentage of errors and high quality of these marker data greatly increase the reliability of our integrated map.…”

Section: The New Barley Integrated Mapmentioning

confidence: 99%

Basal Host Resistance of Barley to Powdery Mildew: Connecting Quantitative Trait Loci and Candidate Genes

Aghnoum¹,

Marcel²,

Johrde³

et al. 2010

MPMI

125

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The basal resistance of barley to powdery mildew (Blumeria graminis f. sp. hordei) is a quantitatively inherited trait that is based on nonhypersensitive mechanisms of defense. A functional genomic approach indicates that many plant candidate genes are involved in the defense against formation of fungal haustoria. It is not known which of these candidate genes have allelic variation that contributes to the natural variation in powdery mildew resistance, because many of them may be highly conserved within the barley species and may act downstream of the basal resistance reaction. Twenty-two expressed sequence tag or cDNA clone sequences that are likely to play a role in the barley-Blumeria interaction based on transcriptional profiling, gene silencing, or overexpression data, as well as mlo, Ror1, and Ror2, were mapped and considered candidate genes for contribution to basal resistance. We mapped the quantitative trait loci (QTL) for powdery mildew resistance in six mapping populations of barley at seedling and adult plant stages and developed an improved high-density integrated genetic map containing 6,990 markers for comparing QTL and candidate gene positions over mapping populations. We mapped 12 QTL at seedling stage and 13 QTL at adult plant stage, of which four were in common between the two developmental stages. Six of the candidate genes showed coincidence in their map positions with the QTL identified for basal resistance to powdery mildew. This co-localization justifies giving priority to those six candidate genes to validate them as being responsible for the phenotypic effects of the QTL for basal resistance.

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Section: The New Barley Integrated Mapmentioning

confidence: 99%

Basal Host Resistance of Barley to Powdery Mildew: Connecting Quantitative Trait Loci and Candidate Genes

Aghnoum¹,

Marcel²,

Johrde³

et al. 2010

MPMI

125

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“…A DH population was derived from a cross between Yerong (six-rowed) and Franklin (two-rowed) Wenzl et al, 2006) …”

Section: Plant Materials and Growing Conditionsmentioning

confidence: 99%

“…The genetic linkage map was constructed using a total of 408 DArT (diversity arrays technology), SSR (simple sequence repeat) and other markers as described by Wenzl et al(2006). QTL analysis was performed using software QTLMapper 1.60 that was developed based on the mixed linear model approach (Wang et al, 1999; to identify QTL with main-effect.…”

Section: Data and Qtl Analysismentioning

confidence: 99%

QTL analysis of flag leaf in barley (Hordeum vulgare L.) for morphological traits and chlorophyll content

Xue

Chen

Zhou

et al. 2008

J. Zhejiang Univ. Sci. B

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Abstract:To understand genetic patterns of the morphological and physiological traits in flag leaf of barley, a double haploid (DH) population derived from the parents Yerong and Franklin was used to determine quantitative trait loci (QTL) controlling length, width, length/width, and chlorophyll content of flag leaves. A total of 9 QTLs showing significantly additive effect were detected in 8 intervals on 5 chromosomes. The variation of individual QTL ranged from 1.9% to 20.2%. For chlorophyll content expressed as SPAD value, 4 QTLs were identified on chromosomes 2H, 3H and 6H; for leaf length and width, 2 QTLs located on chromosomes 5H and 7H, and 2 QTLs located on chromosome 5H were detected; and for length/width, 1 QTL was detected on chromosome 7H. The identification of these QTLs associated with the properties of flag leaf is useful for barley improvement in breeding programs.

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“…com) was carried out and a total of 1130 biallelic markers were identified. 811 of the 1130 DArT polymorphic markers were located mapped on a consensus DArT map assembled from seven individual barley mapping populations (Wenzl et al 2004(Wenzl et al , 2006 and were used for association mapping. There was significant linkage disequilibrium up to 3 cM on the genome, which, given the current genome coverage, made possible a dense genome wide scan for DArT marker yield QTL trait associations (Comadran et al 2008b in which the last letters L and H refer to the expected low and high yield potential locations within a given site.…”

Section: Genetic Materialsmentioning

confidence: 99%

Changes in allele frequencies in landraces, old and modern barley cultivars of marker loci close to QTL for grain yield under high and low input conditions

et al. 2008

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Changes in alleles frequencies of marker loci linked to yield quantitative trait loci (QTL) were studied in 188 barley entries (landraces, old and modern cultivars) grown in six trials representing low and high yielding conditions in Spain (2004) and Syria (2004Syria ( , 2005. A genome wise association analysis was performed per trial, using 811 DArT Ò markers of known map position. At the first stage of analysis, spatially adjusted genotypic means were created per trial by fitting mixed models. At the second stage, single QTL models were fitted with correction for population substructure, using regression models. Finally, multiple QTL models were constructed by backward selection from a regression model containing all significant markers from the single QTL analyses. In addition to the association analyses per trial, genotype by environment interaction was investigated across the six trials. Landraces seemed best adapted to low yielding environments, while old and modern entries adapted better to high yielding environments. The number of QTL and the magnitude of their effects were comparable for low and high input conditions. However, none of the QTL were found within a given bin at any chromosome in more than two of the six trials. Changes in allele frequencies of marker loci close to QTL for grain yield in landraces, old and modern barley cultivars could be attributed to selection exercised in breeding, suggesting that modern breeding A. Pswarayi Á I. Romagosa

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A high-density consensus map of barley linking DArT markers to SSR, RFLP and STS loci and agricultural traits

Cited by 322 publications

References 47 publications

Basal Host Resistance of Barley to Powdery Mildew: Connecting Quantitative Trait Loci and Candidate Genes

Basal Host Resistance of Barley to Powdery Mildew: Connecting Quantitative Trait Loci and Candidate Genes

QTL analysis of flag leaf in barley (Hordeum vulgare L.) for morphological traits and chlorophyll content

Changes in allele frequencies in landraces, old and modern barley cultivars of marker loci close to QTL for grain yield under high and low input conditions

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