scholarly journals Variation in phosphorus and sulfur content shapes the genetic architecture and phenotypic associations within wheat grain ionome

2019 ◽  
Author(s):  
Andrii Fatiukha ◽  
Valentina Klymiuk ◽  
Zvi Peleg ◽  
Yehoshua Saranga ◽  
Ismail Cakmak ◽  
...  

SummaryDissection of the genetic basis of ionome is crucial for the understanding of the physiological and biochemical processes underlying mineral accumulation in seeds, as well as for efficient crop breeding. Most of the elements essential for plants are metals stored in seeds as chelate complexes with phytic acid or sulfur-containing compounds. We assume that the involvement of phosphorus and sulfur in metal chelation is the reason for strong phenotypic associations within ionome. Thus, we adjusted element concentrations for the effect of variation in phosphorus and sulfur seed content. The genetic architecture of wheat grain ionome was characterize by QTL analysis using a cross between durum and wild emmer wheat. Adjustment for variation in P and S drastically changed phenotypic associations within ionome and considerably improved QTL detection power and accuracy, resulting in identification of 105 QTLs and 437 QTL effects for 11 elements. A search for candidate genes revealed some strong functional associations of genes involved in transport and metabolism of ions and elements. Thus, we have shown that accounting for variation in P and S is crucial for understanding of the physiological and genetic regulation of mineral composition of wheat grain ionome and can be implemented for other plants.

2016 ◽  
Vol 283 (1835) ◽  
pp. 20160569 ◽  
Author(s):  
M. E. Goddard ◽  
K. E. Kemper ◽  
I. M. MacLeod ◽  
A. J. Chamberlain ◽  
B. J. Hayes

Complex or quantitative traits are important in medicine, agriculture and evolution, yet, until recently, few of the polymorphisms that cause variation in these traits were known. Genome-wide association studies (GWAS), based on the ability to assay thousands of single nucleotide polymorphisms (SNPs), have revolutionized our understanding of the genetics of complex traits. We advocate the analysis of GWAS data by a statistical method that fits all SNP effects simultaneously, assuming that these effects are drawn from a prior distribution. We illustrate how this method can be used to predict future phenotypes, to map and identify the causal mutations, and to study the genetic architecture of complex traits. The genetic architecture of complex traits is even more complex than previously thought: in almost every trait studied there are thousands of polymorphisms that explain genetic variation. Methods of predicting future phenotypes, collectively known as genomic selection or genomic prediction, have been widely adopted in livestock and crop breeding, leading to increased rates of genetic improvement.


2015 ◽  
Vol 30 (2) ◽  
pp. 193-208 ◽  
Author(s):  
Mohammed Mouradi ◽  
Mohamed Farissi ◽  
Abdelaziz Bouizgaren ◽  
Bouchra Makoudi ◽  
Ablaa Kabbadj ◽  
...  

2021 ◽  
Vol 34 (1) ◽  
pp. 69-79
Author(s):  
Deepali Nagre ◽  
Roseline Xalxo ◽  
Vibhuti Chandrakar ◽  
S. Keshavkant

The ability of melatonin to regulate number of physiological and biochemical processes under different environmental stresses has been widely studied in plants. So, this investigation was done to study the protective roles of melatonin on Cicer arietinum L. grown under arsenic stress. Subjecting Cicer arietinum L. seeds to arsenic stress caused significant decreases in germination percentage, radicle growth, biomass accumulation, protein content and activities of antioxidant enzymes. On the other hand, melatonin treatment significantly increased growth parameters and protein quantity via improving antioxidant enzyme systems as compared with their corresponding untreated controls.


2002 ◽  
Vol 12 (12) ◽  
pp. R415-R416 ◽  
Author(s):  
Julian K Christians ◽  
Peter D Keightley

2020 ◽  
Author(s):  
Isidore Diouf ◽  
Laurent Derivot ◽  
Shai Koussevitzky ◽  
Yolande Carretero ◽  
Frédérique Bitton ◽  
...  

AbstractDeciphering the genetic basis of phenotypic plasticity and genotype x environment interaction (GxE) is of primary importance for plant breeding in the context of global climate change. Tomato is a widely cultivated crop that can grow in different geographical habitats and which evinces a great capacity of expressing phenotypic plasticity. We used a multi-parental advanced generation intercross (MAGIC) tomato population to explore GxE and plasticity for multiple traits measured in a multi-environment trial (MET) design comprising optimal cultural conditions and water deficit, salinity and heat stress over 12 environments. Substantial GxE was observed for all the traits measured. Different plasticity parameters were estimated through the Finlay-Wilkinson and factorial regression models and used together with the genotypic means for quantitative trait loci (QTL) mapping analyses. Mixed linear models were further used to investigate the presence of interactive QTLs (QEI). The results highlighted a complex genetic architecture of tomato plasticity and GxE. Candidate genes that might be involved in the occurrence of GxE were proposed, paving the way for functional characterization of stress response genes in tomato and breeding for climate-adapted crop.HighlightThe genetic architecture of tomato response to several abiotic stresses is deciphered. QTL for plasticity and QTL x Environment were identified in a highly recombinant MAGIC population.


2018 ◽  
Author(s):  
Yizhen Zhong ◽  
Minoli Perera ◽  
Eric R. Gamazon

AbstractBackgroundUnderstanding the nature of the genetic regulation of gene expression promises to advance our understanding of the genetic basis of disease. However, the methodological impact of use of local ancestry on high-dimensional omics analyses, including most prominently expression quantitative trait loci (eQTL) mapping and trait heritability estimation, in admixed populations remains critically underexplored.ResultsHere we develop a statistical framework that characterizes the relationships among the determinants of the genetic architecture of an important class of molecular traits. We estimate the trait variance explained by ancestry using local admixture relatedness between individuals. Using National Institute of General Medical Sciences (NIGMS) and Genotype-Tissue Expression (GTEx) datasets, we show that use of local ancestry can substantially improve eQTL mapping and heritability estimation and characterize the sparse versus polygenic component of gene expression in admixed and multiethnic populations respectively. Using simulations of diverse genetic architectures to estimate trait heritability and the level of confounding, we show improved accuracy given individual-level data and evaluate a summary statistics based approach. Furthermore, we provide a computationally efficient approach to local ancestry analysis in eQTL mapping while increasing control of type I and type II error over traditional approaches.ConclusionOur study has important methodological implications on genetic analysis of omics traits across a range of genomic contexts, from a single variant to a prioritized region to the entire genome. Our findings highlight the importance of using local ancestry to better characterize the heritability of complex traits and to more accurately map genetic associations.


Author(s):  
B. Ya. Kyryliv ◽  
A. V. Hunchak ◽  
I. B. Ratych ◽  
B. V. Gutyj

The article is a summary of the literature on the main aspects of the modern bird feeding system. Theoretical aspects and results of experimental research of scientists on the substantiation of parameters of protein and amino acid nutrition are given, which is an important factor that, under appropriate conditions can significantly guarantee the realization of the genetic potential of corresponding breeds and crosses of poultry. It is shown that an important aspect of protein nutrition is the ratio of feed amino acids. Their negative interaction can be caused by a deficiency of one or more amino acids, an imbalance between them, antagonism, and toxicity. This is accompanied by effects on various physiological and biochemical processes, significantly affects appetite, intestinal absorption, renal reabsorption and transport of amino acids, their catabolism, rate of protein decomposition, synthesis, and formation of toxic metabolic products. The data show that the required level of energy for the bird's body is provided by carbohydrates (mainly of plant origin) and lipids (fat supplements of various origins). It is noted that lipids promote the absorption, transport, and deposition of fat-soluble vitamins. The effectiveness of using fat supplements as energy depends on their source. At the same time, among the indispensable nutrients that have a significant impact on growth intensity, reproductive quality, poultry productivity, and biological value of products, an important role is played by macro-and micronutrients. Many researchers emphasize that along with the use of traditional feeds in poultry feeding, the possibilities of non-traditional cereals rich in protein and lipids are not fully used. A limiting factor in their use is the presence in their composition of anti-nutrients contained in many feeds. Once in the digestive tract of animals, they negatively affect the absorption of feed nutrients. In most cases, the consumption of such feed by animals is manifested in growth retardation, increased feed consumption, hormonal effects, and, less frequently, in the dysfunction of certain organs.


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