2012
DOI: 10.1007/s11032-012-9764-1
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Genetic dissection of grain beta-glucan and amylose content in barley (Hordeum vulgare L.)

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Cited by 42 publications
(38 citation statements)
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“…If such an enzyme did exist, it would need to be present both in grasses and eudicots, given the ability of the Arabidopsis and N. benthamiana systems to synthesize MLG. Recent quantitative trait locus and genome-wide association studies (Islamovic et al, 2013;Shu and Rasmussen, 2014) suggest that other proteins should also be considered to play the role of Prt X in MLG synthesis (and/or regulation) and deserve further investigation.…”
Section: Toward a Model Of Mlg Assemblymentioning
confidence: 99%
“…If such an enzyme did exist, it would need to be present both in grasses and eudicots, given the ability of the Arabidopsis and N. benthamiana systems to synthesize MLG. Recent quantitative trait locus and genome-wide association studies (Islamovic et al, 2013;Shu and Rasmussen, 2014) suggest that other proteins should also be considered to play the role of Prt X in MLG synthesis (and/or regulation) and deserve further investigation.…”
Section: Toward a Model Of Mlg Assemblymentioning
confidence: 99%
“…This alone provided a resource to interrogate several thousand alleles in tandem and led to the construction of a high density consensus map defined by 2943 SNP loci ). The same study showed a orthologous relationship between barley and rice chromosomes, which can lead to gene discovery for various traits linked to specific QTL regions, such as beta glucan content in barley grain (Islamovic et al, 2013).…”
Section: Introductionmentioning
confidence: 83%
“…Comparison of QTL flanking markers, from Marquez-Cedillo et al study and our study, in barley integrated genetic maps at the GrainGenes website (http://wheat.pw.usda.gov) suggested that our QTL was in a different genetic location than the QTL from Marquez-Cedillo et al study. Localization of the QTL region in barley onto the rice annotated genome was enabled by flanking BOPA SNP sequences ) as described by Islamovic et al (2013). The candidate sdw1/denso gene (Jia et al, 2009) was identified (Fig.…”
Section: Discussionmentioning
confidence: 99%
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