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Genome wide association studies (GWAS) of element contents in grain with a special focus on zinc and iron in a world collection of barley (Hordeum vulgare L.)

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TLDR
Genome wide association studies (GWAS) to map Quantitative Trait Loci (QTL) associated with element contents in the grain using 336 spring barley showed association with INTERMEDIUM-C, a modifier gene for lateral spikelet fertility in the 4H chromosome, validating current GWAS approach.
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This article is published in Journal of Cereal Science.The article was published on 2017-09-01 and is currently open access. It has received 34 citations till now. The article focuses on the topics: Hordeum vulgare & Population.

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Citations
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Wheat, Barley, and Oat Breeding for Health Benefit Components in Grain

TL;DR: In this paper, the current trends and achievements in wheat, barley, and oat breeding for health-benefiting components are discussed, and certain cases of contributions to special health-improving diets are summarized.
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Genetic analysis of a worldwide barley collection for resistance to net form of net blotch disease (Pyrenophora teres f. teres)

TL;DR: Genome-wide association studies using 33,818 markers and a compressed mixed linear model to account for population structure and kinship revealed 254 significant marker–trait associations corresponding to 15 distinct QTL regions.
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New Uses for Traditional Crops: The Case of Barley Biofortification

TL;DR: Research results show that barley can be a promising crop for the emergence of novel food products with a significant impact on human nutrition.
References
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Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI

Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
Journal ArticleDOI

TASSEL: software for association mapping of complex traits in diverse samples

TL;DR: TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure and allows for linkage disequilibrium statistics to be calculated and visualized graphically.
Journal ArticleDOI

A direct approach to false discovery rates

TL;DR: The calculation of the q‐value is discussed, the pFDR analogue of the p‐value, which eliminates the need to set the error rate beforehand as is traditionally done, and can yield an increase of over eight times in power compared with the Benjamini–Hochberg FDR method.
Journal ArticleDOI

Breeding for micronutrients in staple food crops from a human nutrition perspective

TL;DR: The world's agricultural community should adopt plant breeding and other genetic technologies to improve human health, and the world's nutrition and health communities should support these efforts.
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Frequently Asked Questions (20)
Q1. What contributions have the authors mentioned in the paper "Genome wide association studies (gwas) of element contents in grain with a special focus on zinc and iron in a world collection of barley (hordeum vulgare l.)" ?

In this paper, the authors used a genome wide association study ( GWAS ) to map Quantitative Trait Loci ( QTL ) associated with element contents in the grain using 336 spring barley. 

Currently, three crosses Rihane-03 x Zanbaka, Alanda-01 x Zanbaka, and Rihane-03 x Alanda-01, were made in ICARDA to study and map Zn and Fe contents in barley grains by utilizing information in genotypes identified in this study. 

Further filtering for >10% missing data and <0.05 minor allele frequency resulted into 6519 SNPs which were used in further analysis (PCA and GWAS). 

The objectives of the current study were to (1) assess variability of element uptake in a world collection of cultivated barley germplasms at ICARDA and to (2) map QTL associated with element uptake in barley grain using the GWAS approach. 

The major goal of their study was to identify and map QTL involved in uptake and translocation of elements in barley grains with, a focus on identifying Zn and Fe dense barley genotypes, so that this germplasmwould be available to barley researchers across the globe through ICARDA networks. 

Rapid changes in food habits and nutritive values of modern food in terms of micronutrients have contributed to element deficiency related problems. 

Deficiencies of elements, especially iron (Fe), zinc (Zn) magnesium (Mg), phosphorous (P), potassium (K), selenium (Se), and copper (C) are the major causes of over 65% of childhood deaths worldwide (Welch and Graham, 2004). 

Digested samples and blanks were analyzed using Spectro Genesis SOP ICP-OES (Spectro Analytical Instrument GmbH, Germany) with SmartAnalyzer Vision software and Optimist nebulizer with a cyclonic spray chamber. 

Around 3.7% of total barley production is used as human food annually worldwide, but in some countries, like in Morocco, Ethiopia and Eritrea, barley comprise as high as 60% of total food production (Newman and Newman, 2006). 

The first step towards the exploitation of biofortification of elements in barley is to assess the status of element concentrations in the kernel and map Quantitative Trait Loci (QTL) associated with element uptake in plants. 

Zn has important roles in several metabolic functions including accelerated growth, body's immune responses and synthesis of several enzymes such as DNA polymerases, carbonic anhydrases and alkaline phosphatases (Prasad, 1991). 

information on barley genotypes capable of higher element uptake in the grain and the markers (SNPs) associated with the QTL is invaluable for future barley breeding programs. 

Five SNPs with the unknown marker position were also significant for Fe. The R2 of these QTL ranged from 3.3 to 5.0% and additive effects from 12.9e6.15 mg kg 1. 

Barley is less sensitive to both Fe and Zn deficiencies, because it has genes involved in the mobilization and uptake of Fe and Zn. 

In the current study, 3 SNPs, 11_20606, 11_21070, and 11_20422, were significantly (q < 0.05) correlated with row types (fertility of lateral spikelets), including three other SNPs in the 4HS chromosome at the span of 38.44e53.87 cM. 

Results showed that GLM models were not good enough to control the false positives (data not presented) while both MLM þ Q þ K and MLM þ PCA þ K were found effective for finding true associations. 

The pFDR (q < 0.05) was applied in order to test the statistical significance of multiple comparisons of all detected markers according to Storey (2002). 

The Genome Wide Association Study reported here, which the authors named Association Mapping panel 2014 (AM-2014) comprised a total of 336 genotypes. 

They reported that QTL in 1HS, 2HL, and 5HL were responsible for Zn translocation in barley grain, which is confirmed by their study. 

Of the three strategies for resolving nutritional deficiencies in food crops: biofortification, food fortification, and mineral supplement, biofortification is the cheapest and most accessible (Welch and Graham, 2004).