Browse
Submit Data
Databases
API
Help

Dataset Information

10 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dataset on phenolic profile of seven wheat genotypes along maturation.

ABSTRACT: This article contains data on phenolic-profiling of seven wheat genotypes along maturation (softy, milky, physiological maturity and mature). This supplementary data is related to research "Metabolomic approach for characterization of phenolic compounds in different wheat genotypes during grain development" (Santos et al., 2018). Briefly, free and bound phenolic compounds were extracted with 80% ethanol (v/v) and hydrolysis processes, respectively. The aliquots resultants were separated by ultra-performance liquid chromatography (UPLC) and analyzed by quadrupole time-of-flight mass spectrometry (QTOF). Data were acquired using a multiplexed MS/MS acquisition with alternating low and high energy acquisition (MS^E). The phenolic compounds with their respective abundances are showed here through characterization table and multivariate analysis (hierarchical cluster analysis-HCA-and principal component analysis-PCA).

SUBMITTER: Pimenta do Nascimento T

PROVIDER: S-EPMC6197959 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Dataset of the metabolic and CM-like protein fractions in old and modern wheat Italian genotypes.

Project description:The present work reports the first comprehensive proteomic profiling and qualitative comparison of metabolic and Chloroform-Methanol (CM)-like protein fractions extracted from mature kernels of two old Sicilian durum wheat landraces, Russello and Timilia Reste Bianche (Timilia RB), and Simeto, an improved durum wheat variety widespread in Italy and other Mediterranean countries and chosen as representative of the most widely commercial cultivars. The data are discussed in the related research article "Qualitative proteomic comparison of metabolic and CM-like protein fractions in old and modern wheat Italian genotypes by a shotgun approach" [1]. The results of this work could be used for in vitro investigations to understand the relationship between protein profiles of old and modern wheat genotypes and their potential benefits for human consumption.

| S-EPMC6859223 | biostudies-literature

A Comprehensive Peptidomic Approach to Characterize the Protein Profile of Selected Durum Wheat Genotypes: Implication for Coeliac Disease and Wheat Allergy.

Project description:The wheat varietal selection undertaken by breeders in recent decades has been tailored mainly to improve technological and productivity-related traits; however, the latter has resulted in a considerable impoverishment of the genetic diversity of wheat-based products available on the market. This pitfall has encouraged researchers to revalue the natural diversity of cultivated and non-cultivated wheat genotypes in light of their different toxic/immunogenic potential for celiac disease and wheat-allergic patients. In the present investigation, an advanced proteomic approach was designed for the global characterization of the protein profile of selected tetraploid wheat genotypes (Triticum turgidum). The approach combined proteins/peptides sequence information retrieved by specific enzymatic digestions (single and dual proteolytic enzymes) with protein digestibility information disclosed by means of in-vitro simulated human gastroduodenal digestion experiments. In both cases, the peptide pools were characterized by discovery analysis with liquid chromatography high-resolution tandem mass spectrometry, and specific amino acid sequences were identified via commercial software. The peptide list was screened for in silico toxicity/immunogenicity risk assessment, with the aid of various open-source bioinformatics tools for epitopes matching. Given the global information provided by the designed proteomic approach, the in silico risk assessment not only tackled toxicity implication for celiac disease patients, but also scouted for immunogenic sequences relevant for wheat allergic patients, achieving a comprehensive characterization of the protein profile of the selected genotypes. These latter were assessed to encrypt a variable number of toxic/immunogenic epitopes for celiac disease and wheat allergy, and as such they could represent convenient bases for breeding practices and for the development of new detoxification strategies.

| S-EPMC6835779 | biostudies-literature

Transcriptomic data during seed maturation in dormant and non-dormant genotypes of wheat (<i>Triticum aestivum</i> L.).

Project description:The present data profiles a large scale transcriptome changes in seed tissues (embryo and endosperm) during maturation in dormant and non-dormant genotypes of hexaploid wheat. Seed dormancy is an adaptive trait that has a significant influence on the incidence of preharvest sprouting, which is referred to as the germination of grains on the spike prior to harvest, in wheat. Given that preharvest sprouting causes a substantial yield and quality losses, elucidation of the molecular features that regulate seed dormancy has a paramount significance in the development of preharvest sprouting resistant wheat cultivars. The data presented here was produced from total RNA/mRNA samples isolated from developing seeds of dormant and non-dormant wheat genotypes using the Affymetrix GeneChip Wheat Genome Array. The raw and normalized formats of these data are available in Gene Expression Ominbus (GEO), NCBI's gene expression data repository, with accession number GSE83077.

| S-EPMC6661463 | biostudies-literature

Growing location and root maturity impact on the phenolic compounds, antioxidant activity and nutritional profile of different sweet potato genotypes.

Project description:This study aimed to analyze the phenolic compounds, antioxidant activity, and the main nutritional components of different colored-fleshed sweet potato genotypes grown in Argentina. Three cultivars of standard size were compared to undersized ones, currently discarded. Furthermore, four genotypes grown in different agroecological locations in Tucuman, Argentina, were evaluated. Chlorogenic and 3,5-dicaffeoylquinic acids were identified as the prevailing phenolic compounds in all samples. Undersized roots had significantly higher phenolics, antioxidant activity and carotenoids than standard. Therefore, they can confer healthy attributes to processed foods and, additionally, reduce waste. Genotypes from Tucuman grown under water stress conditions presented the lowest phenolics, anthocyanins and antioxidant activity, but the highest carotenoid contents. Orange-fleshed cultivars showed the highest protein percentages (6.0-11.7 %) and carotenoid contents ranging between 310 and 1012 µg β-carotene/g dw, with more than 90 % β-carotene. These findings could help to promote the cultivation of local genotypes with high added value.

| S-EPMC9356150 | biostudies-literature

Grain Germination Changes the Profile of Phenolic Compounds and Benzoxazinoids in Wheat: A Study on Hard and Soft Cultivars.

Project description:Pre-harvest sprouting is a frequent problem for wheat culture that can be simulated by laboratory-based germination. Despite reducing baking properties, wheat sprouting has been shown to increase the bioavailability of some nutrients. It was investigated whether wheat cultivars bearing distinct grain texture characteristics (BRS Guaraim, soft vs. BRS Marcante, hard texture) would have different behavior in terms of the changes in phytochemical compounds during germination. Using LC-Q-TOF-MS, higher contents of benzoxazinoids and flavonoids were found in the hard cultivar than in the soft one. Free phytochemicals, mainly benzoxazinoids, increased during germination in both cultivars. Before germination, soft and hard cultivars had a similar profile of matrix-bound phytochemicals, but during germination, these compounds have been shown to decrease only in the hard-texture cultivar, due to decreased levels of phenolic acids (trans-ferulic acid) and flavonoids (apigenin) that were bound to the cell wall through ester-type bonds. These findings confirm the hypothesis that hard and soft wheat cultivars have distinct behavior during germination concerning the changes in phytochemical compounds, namely the matrix-bound compounds. In addition, germination has been shown to remarkably increase the content of benzoxazinoids and the antioxidant capacity, which could bring a health-beneficial appeal for pre-harvested sprouted grains.

| S-EPMC9864386 | biostudies-literature

Transcriptomics of cytokinin and auxin metabolism and signaling genes during seed maturation in dormant and non-dormant wheat genotypes.

Project description:To gain insights into the roles of cytokinin (CK) and auxin in regulating dormancy during seed maturation in wheat, we examined changes in the levels of CK and indole-3-acetic acid (IAA) and expression patterns of their metabolism and signaling genes in embryonic and endospermic tissues of dormant and non-dormant genotypes. Seed maturation was associated with a decrease in the levels of isopentenyladenine in both tissues mainly via repression of the CK biosynthetic TaLOG genes. Differential embryonic trans-zeatin content and expression patterns of the CK related genes including TacZOG, TaGLU and TaARR12 between maturing seeds of the two genotypes implicate CK in the control of seed dormancy induction and maintenance. Seed maturation induced a decrease of IAA level in both tissues irrespective of genotype, and this appeared to be mediated by repression of specific IAA biosynthesis, transport and IAA-conjugate hydrolysis genes. The differential embryonic IAA content and expression pattern of the IAA biosynthetic gene TaAO during the early stage of seed maturation between the two genotypes imply the role of IAA in dormancy induction. It appears from our data that the expression of specific auxin signaling genes including TaRUB, TaAXR and TaARF mediate the role of auxin signaling in dormancy induction and maintenance during seed maturation in wheat.

| S-EPMC6408541 | biostudies-literature

Ancestral and modern wheat genotypes

Project description:Ancestral and modern wheat genotypes Metagenome

| PRJNA643787 | ENA

Dataset on seed details of wheat genotypes, solution treatments to measure seedling emergence force and the relation between seedling force and strain.

Project description:The seed details (weight, vigor) and germination rate of 16 wheat (Triticum aestivum) genotypes in a non-limiting conditions were measured. The dataset presents seed germination rate and seed vigor of 16 wheat genotypes. The dataset also presents the concentrations of the cations to create solution treatments of various sodium adsorption ratio (SAR) and ionic strength (I). Finally, dataset presented a figure of the experimental design to measure seedling emergence force of wheat genotypes. The image of the setup and the relation between strain and force have been presented here to convert the strain of the beam into seedling emergence force. This dataset has been used in research work titled 'Greater emergence force and hypocotyl cross sectional area may improve wheat seedling emergence in sodic conditions' (Anzooman et al., 2018) [1].

| S-EPMC6240625 | biostudies-literature

Categorization of wheat genotypes for phosphorus efficiency.

Project description:Production of phosphorus efficient crop cultivars can increase food productivity and decrease environmental pollution. Categorization of existing germplasm is a prerequisite to develop P efficient crop cultivars. For first experiment, 30 wheat genotypes were grown in hydroponics with two P levels (i.e., deficit, 20 ?m KH2PO4 and adequate, 200 ?m KH2PO4). Genotypes differed significantly for various P efficiency parameters. Two genotypes (Dirk and Bhakkar-02) showed < 25% decrease in growth at P deficiency. Genotype Seher-06 proved to be inefficient. Twelve selected genotypes based on the first experiment were sown in soil with two P levels (0 and 30 mg P kg-1) till maturity. As expected, genotypes differed for grain yield at both P levels. The efficient cultivars selected on the basis of both absolute and relative dry matter production at both P levels such as Dirk. Genotypes were grouped into three, four and nine classes on the basis of various parameters for P efficiency as proposed by different researchers. Most genotypes behaved in a similar fashion by different categorization methods and also at different P supply. The method to categorize the genotypes into three classes and plotting them into 9 classes proposed by Gill and his coworkers, is the best to differentiate the minor differences in genotypes. At least three different parameters at both P regimes should be used. The parameters may vary as per objectives of the study and/or growth conditions.

| S-EPMC6192622 | biostudies-literature

Microplastics profile along the Rhine River.

Project description:Microplastics result from fragmentation of plastic debris or are released to the environment as pre-production pellets or components of consumer and industrial products. In the oceans, they contribute to the 'great garbage patches'. They are ingested by many organisms, from protozoa to baleen whales, and pose a threat to the aquatic fauna. Although as much as 80% of marine debris originates from land, little attention was given to the role of rivers as debris pathways to the sea. Worldwide, not a single great river has yet been studied for the surface microplastics load over its length. We report the abundance and composition of microplastics at the surface of the Rhine, one of the largest European rivers. Measurements were made at 11 locations over a stretch of 820 km. Microplastics were found in all samples, with 892,777 particles km (-2) on average. In the Rhine-Ruhr metropolitan area, a peak concentration of 3.9 million particles km (-2) was measured. Microplastics concentrations were diverse along and across the river, reflecting various sources and sinks such as waste water treatment plants, tributaries and weirs. Measures should be implemented to avoid and reduce the pollution with anthropogenic litter in aquatic ecosystems.

| S-EPMC4672315 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data