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. 2014 May 12;9(5):e96276.
doi: 10.1371/journal.pone.0096276. eCollection 2014.

Comparative systems biology reveals allelic variation modulating Tocochromanol profiles in Barley (Hordeum vulgare L.)

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Comparative systems biology reveals allelic variation modulating Tocochromanol profiles in Barley (Hordeum vulgare L.)

Rebekah E Oliver et al. PLoS One. .

Abstract

Tocochromanols are recognized for nutritional content, plant stress response, and seed longevity. Here we present a systems biological approach to characterize and develop predictive assays for genes affecting tocochromanol variation in barley. Major QTL, detected in three regions of a SNP linkage map, affected multiple tocochromanol forms. Candidate genes were identified through barley/rice orthology and sequenced in genotypes with disparate tocochromanol profiles. Gene-specific markers, designed based on observed polymorphism, mapped to the originating QTL, increasing R2 values at the respective loci. Polymorphism within promoter regions corresponded to motifs known to influence gene expression. Quantitative PCR analysis revealed a trend of increased expression in tissues grown at cold temperatures. These results demonstrate utility of a novel method for rapid gene identification and characterization, and provide a resource for efficient development of barley lines with improved tocochromanol profiles.

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Conflict of interest statement

Competing Interests: Scientists DEO and EWJ contributed to the manuscript prior to employment at General Mills Inc. and Limagrain Cereal Seeds, and these authors declare that the work presented was not in any way influenced by their current relationship with their employer. KJM is an employee of SAS Institute Inc. There are no patents, products in development or marketed products to declare. This does not alter adherence to all the PLOS ONE policies on sharing data and materials.

Figures

Figure 1
Figure 1. Tocochromanol biosynthesis.
Dotted lines represent double bonds in the tocotrienol prenyl side chain. Dual labels correspond to tocopherol and tocotrienol, respectively.
Figure 2
Figure 2. Major QTL regions influencing tocochromanol biosynthesis in the barley Falcon x Azhul RIL population.
QTL common to all environments are indicated by a colored bar. Black extensions indicate regions affected by at least one environment. Marker names and map positions are colored by additive effect of parental alleles. Blue indicates a greater influence of the Falcon allele; red a greater influence of Azhul.
Figure 3
Figure 3. Sequence alignments for gene and promoter regions of VTE4 (A) and HGGT (B) in barley cultivars Falcon and Azhul.
Polymorphisms are indicated by black interruptions within the gray bars, with narrow sections corresponding to indels. Annotations are indicated by colored bars above the consensus guide. Within the promoter region, blue indicates a promoter sequence, light green a TSS, purple a TATA or CAAT box, and gray all other motifs. The transcription start codon is indicated in green, and the stop codon in red. White bars indicate introns.
Figure 4
Figure 4. Predicted secondary structure (A) and three-dimensional structure (B) of HGGT proteins in barley cultivars Falcon and Azhul.
Sequence polymorphism contributing to folding changes is indicated by the green consensus guide (A). Blue curved arrows represent turns, orange arrows represent beta strands, pink cylinders represent alpha helices, and gray wavy lines represent coils. Pink labels within ribbon diagrams correspond to the predicted active site.
Figure 5
Figure 5. Quantitative PCR analysis of VTE4 (top) and HGGT (bottom) in Falcon and Azhul barley cultivars.
Tissue samples used for cDNA preparation were taken from shoots and embryos grown at room temperature and at 4°C.

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