Deciphering the genetic basis for vitamin E accumulation in leaves and grains of different barley accessions

Schuy, Christian; Groth, Jennifer; Ammon, Alexandra; Eydam, Julia; Baier, Stephan; Schweizer, Günther; Hanemann, Anja; Herz, Markus; Voll, Lars M.; Sonnewald, Uwe

doi:10.1038/s41598-019-45572-7

Cited by 10 publications

(8 citation statements)

References 82 publications

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“…Interestingly, the mean AT3 levels showed a difference of ∼4 μg between the two panels, but higher levels of this metabolite were found in the WBDC panel. It has been reported that in mature barley grains, 20% of the total tocopherol pool and 40% of the total tocotrienol pool are comprised of their respective γ‐tocochromanol isoforms (Schuy et al., 2019). In our analysis, we found that 50% of the total tocopherol and total tocotrienol pools in both the WBDC and mini‐core panels comprised the AT and AT3 forms, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Three studies of the QTLs associated with tocols in barley have been reported (Graebner et al., 2015; Oliver et al., 2014; Schuy et al., 2019). All three studies indicated that the distal region of chromosome 7 harbors a major QTL associated with tocols in barley.…”

Section: Discussionmentioning

confidence: 99%

“…Information about genes associated with the tocol biosynthetic pathway and their Ensembl gene identifiers were obtained from a recently published study (Schuy et al., 2019). The physical positions of the tocol biosynthesis pathway genes and the significantly associated SNP markers in proximity to these genes were determined at bp resolution and displayed on a physical barley chromosome map.…”

Section: Methodsmentioning

confidence: 99%

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Genome‐wide association analysis of natural variation in seed tocochromanols of barley

Mahalingam¹,

Sallam

Steffenson

et al. 2020

The Plant Genome

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Tocochromanols (tocols for short), commonly called Vitamin E, are lipid-soluble plant antioxidants vital for regulating lipid peroxidation in chloroplasts and seeds. Barley (Hordeum vulgare L.) seeds contain all eight different isoforms of tocols; however, the extent of natural variation in their composition and their underlying genetic basis is not known. Tocol levels in barley seeds were quantified in diverse H. vulgare panels comprising 297 wild lines from a diversity panel and 160 cultivated spring-type accessions from the mini-core panel representing the genetic diversity of the USDA barley germplasm collection. Significant differences were observed in the concentration of tocols between the two panels. To identify the genes associated with tocols, genome-wide association analysis was conducted with single nucleotide polymorphisms (SNPs) from Illumina arrays for the mini-core panel and genotyping-by-sequencing for the wild barley panel. Forty unique SNPs in the wild barley and 27 SNPs in the mini-core panel were significantly associated with various tocols. Marker-trait associations (MTAs) were identified on chromosomes 1, 6, and 7 for key genes in the tocol biosynthesis pathway, which have also been reported in other studies. Several novel MTAs were identified on chromosomes 2, 3, 4 and 5 and were found to be in proximity to genes involved in the generation of precursor metabolites required for tocol biosynthesis. This study provides a valuable resource for barley breeding programs targeting specific isoforms of seed tocols and for investigating the physiological roles of these metabolites in seed longevity, dormancy, and germination.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Genome‐wide association analysis of natural variation in seed tocochromanols of barley

Mahalingam¹,

Sallam

Steffenson

et al. 2020

The Plant Genome

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“…Indeed, for instance, wheat germ oils contain the highest concentration of vitamin E of all species tested ( Trela and Szymańska, 2019 ). Although substantial efforts have been made in elucidating the metabolic pathway of vitamin metabolism in other crops ( Zhou et al., 2012 ; Quadrana et al., 2014 ; Liu et al., 2017 ; Wang et al., 2018 ; Schuy et al., 2019 ; Zhang et al., 2019 ), less has been achieved in wheat ( Li et al., 2018b ; Watkins et al., 2019 ). In view of this, key candidate genes could be swiftly selected and validated through multi-omics approaches including metabolomics, providing molecular resources for breeding wheat to be a more nutritional food.…”

Section: Breeding Wheat To Be a Better Crop Assisted By Metabolomics Approaches As Indication Prediction And Navigation Toolsmentioning

confidence: 99%

Exploring the genic resources underlying metabolites through mGWAS and mQTL in wheat: From large-scale gene identification and pathway elucidation to crop improvement

Chen

Xue

Liu

et al. 2021

Plant Communications

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Common wheat ( Triticum aestivum L.) is a leading cereal crop, but has lagged behind with respect to the interpretation of the molecular mechanisms of phenotypes compared with other major cereal crops such as rice and maize. The recently available genome sequence of wheat affords the pre-requisite information for efficiently exploiting the potential molecular resources for decoding the genetic architecture of complex traits and identifying valuable breeding targets. Meanwhile, the successful application of metabolomics as an emergent large-scale profiling methodology in several species has demonstrated this approach to be accessible for reaching the above goals. One such productive avenue is combining metabolomics approaches with genetic designs. However, this trial is not as widespread as that for sequencing technologies, especially when the acquisition, understanding, and application of metabolic approaches in wheat populations remain more difficult and even arguably underutilized. In this review, we briefly introduce the techniques used in the acquisition of metabolomics data and their utility in large-scale identification of functional candidate genes. Considerable progress has been made in delivering improved varieties, suggesting that the inclusion of information concerning these metabolites and genes and metabolic pathways enables a more explicit understanding of phenotypic traits and, as such, this procedure could serve as an -omics-informed roadmap for executing similar improvement strategies in wheat and other species.

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“…Li et al used a GWAS to analyze a panel of 166 bread wheat cultivars by assaying 18 207 SNP markers to identify chromosomal regions associated with vitamin thiamin and riboflavin contents. More recently, Schuy et al identified two genes that code for key enzymes controlling the accumulation of tocopherol in leaves and tocotrienol in grains of different barley accessions using a GWAS.…”

Section: Introductionmentioning

confidence: 99%

Association between SNP Markers and 11 Vitamin Contents in Grains of a Worldwide Bread Wheat Core Collection

Nurit

Bordes

Balfourier

et al. 2021

J. Agric. Food Chem.

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The metabolomic profiling analyses of 11 vitamins' statuses of wheat grain in a subsample of 167 accessions from the INRAE worldwide bread wheat core collection planted in two contrasting environments in France (Le Moulon and Clermont-Ferrand) have been evaluated using a high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) procedure. This has allowed us to perform a genome-wide association study (GWAS) for these nutritional traits of interest combining the phenotypic data with the genotypic data derived from the TaBW280K SNP chip. Considering both thresholds (P < 0.0003 and R 2 ≥ 8%), the GWAS identified between 1 and 22 marker-trait associations (MTAs) for the individual vitamins at the individual locations, and 12 SNP markers were stable and associated with vitamin contents across two environments. Desirable alleles and superior genotypes identified in the current analysis provide novel genetic data that can be used for future research on the genetics of vitamins and their application in wheat breeding.

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Deciphering the genetic basis for vitamin E accumulation in leaves and grains of different barley accessions

Cited by 10 publications

References 82 publications

Genome‐wide association analysis of natural variation in seed tocochromanols of barley

Genome‐wide association analysis of natural variation in seed tocochromanols of barley

Exploring the genic resources underlying metabolites through mGWAS and mQTL in wheat: From large-scale gene identification and pathway elucidation to crop improvement

Association between SNP Markers and 11 Vitamin Contents in Grains of a Worldwide Bread Wheat Core Collection

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