Dataset Information

Proteomics profiling reveals the detoxification and tolerance behavior of two bread wheat (Triticum aestivum L.) varieties under arsenate stress

ABSTRACT: This project focused on proteomics profiling in the roots of two wheat varieties (BARANI-70 and NARC-09) in a hydroponic experiment under arsenate stress. The results revealed a total of 67 differentially expressed proteins (DEPS) in BARANI-70 and 89 in the NARC-09 variety. The identified proteins were involved in various functional categories such as; transport, photosynthesis, response to stress, response to metal, metabolic process, and catabolic process. This project can assist in developing low-arsenic wheat varieties for the future to ensure sustainable production of crops and health safety.

ORGANISM(S): Triticum Aestivum

SUBMITTER: Ghazala Mustafa

PROVIDER: PXD046761 | iProX | Tue Nov 07 00:00:00 GMT 2023

REPOSITORIES: iProX

ACCESS DATA

Publications

Metabolomics profiling reveals the detoxification and tolerance behavior of two bread wheat (Triticum aestivum L.) varieties under arsenate stress.

Saeed Muhammad M Masood Quraishi Umar U Mustafa Ghazala G Farooqi Abida A Greger Maria M Naseem Malik Riffat R

Food chemistry 20240128

The present study conducted metabolomics profiling (targeted and untargeted) in the roots of two wheat varieties (BARANI-70 and NARC-09) under arsenate stress in a hydroponic experiment. The findings indicated a better growth response of BARANI-70 compared to the NARC-09. From amino acid profiling, a total of 26 amino acids (AAs) were quantified in roots. BARANI-70 showed higher induction of stress-responsive AAs compared to the NARC-09. From untargeted metabolomics, a total of 136 metabolites w ...[more]

PMID: 38306910

Similar Datasets

Project description:Introduction: Pre-harvest Sprouting (PHS) seriously affects wheat quality and yield. However, to date there have been limited reports. It is of great urgency to breed resistance varieties via quantitative trait nucleotides (QTNs) or genes for PHS resistance in white-grained wheat. Methods: 629 Chinese wheat varieties, including 373 local wheat varieties from 70 years ago and 256 improved wheat varieties were phenotyped for spike sprouting (SS) in two environments and genotyped by wheat 660K microarray. These phenotypes were used to associate with 314,548 SNP markers for identifying QTNs for PHS resistance using several multi-locus genome-wide association study (GWAS) methods. Their candidate genes were verified by RNA-seq, and the validated candidate genes were further exploited in wheat breeding. Results: As a result, variation coefficients of 50% and 47% for PHS in 629 wheat varieties, respectively, in 2020-2021 and 2021-2022 indicated large phenotypic variation, in particular, 38 white grain varieties appeared at least medium resistance, such as Baipimai, Fengchan 3, and Jimai 20. In GWAS, 22 significant QTNs, with the sizes of 0.06% ~ 38.11%, for PHS resistance were stably identified by multiple multi-locus methods in two environments, e.g., AX-95124645 (chr3D:571.35Mb), with the sizes of 36.390% and 45.850% in 2020-2021 and 2021-2022, respectively, was detected by several multi-locus methods in two environments. As compared with previous studies, the AX-95124645 was used to develop Kompetitive Allele-Specific PCR marker QSS.TAF9-3D (chr3D:569.17Mb~573.55Mb) for the first time, especially, it is available in white-grain wheat varieties. Around this locus, nine genes were significantly differentially expressed, and two of them (TraesCS3D01G466100 and TraesCS3D01G468500) were found by GO annotation to be related to PHS resistance and determined as candidate genes. Discussion: The QTN and two new candidate genes related to PHS resistance were identified in this study. The QTN can be used to effectively identify the PHS resistance materials, especially, all the white-grained varieties with QSS.TAF9-3D-TT haplotype are resistant to spike sprouting. Thus, this study provides candidate genes, materials, and methodological basis for breeding wheat PHS resistance in the future.

Project description:Background: Waterlogging was one of the most serious abiotic stresses in wheat-growing regions of China. There were great differences in waterlogging tolerance among different wheat varieties, and the mechanism of waterlogging tolerance of wheat seeds during germination was unclear. Methods: In order to reveal the adaptability of wheat to waterlogging stress during germination, we analyzed the germination rate and anatomical structure of three wheat seeds, ‘Zhoumai 22’, ‘Bainong 207’ and ‘Bainong 607’. At the same time, Illumina sequencing technology was used to determine the transcriptome of these three wheat varieties during germination. Results: The results showed that there was no significant difference between the germination rate of ‘Bainong 207’ after 3 days of waterlogging treatment and that of the control seeds. However, under waterlogging stress, the degree of emulsification and degradation of endosperm cells was higher than that of the control treatment, and starch granules in endosperm were significantly reduced. Transcriptome data were obtained from seed samples (a total of 18 samples) of three wheat varieties under waterlogging and control treatment. A total of 2,775 differentially expressed genes (DEGs) were identified by comprehensive analysis. In addition, by analyzing the correlation between the expression levels of DEGs and seed germination rates in three wheat varieties under waterlogging stress, it was found that the relative expression levels of 563 and 398 genes were positively and negatively correlated with the germination rate of wheat seeds, respectively. The GO and KEGG analysis found that the difference in waterlogging tolerance of the three wheat varieties was related to the abundance of key genes involved in the glycolysis pathway, the starch and sucrose metabolism pathway, and the lactose metabolism pathway. The ethanol dehydrogenase (ADH) gene in the endosperm of ‘Bainong 607’ was immediately induced after a short period of waterlogging, and the energy provided by glycolysis pathway enabled the seeds of ‘Bainong 607’ to germinate as early as possible, while the expression level of AP2/ERF transcription factor was up-regulated to further enhance its waterlogging tolerance. Conclusions: In general, this study provided a deeper understanding of the mechanisms by which different wheat varieties respond to waterlogging stress during germination.

Project description:Wheat (Triticum aestivum ssp. aestivum) contributes to 20% of the human protein supply, delivers essential amino acids and is of fundamental importance for bread and pasta quality. Wheat proteins are also involved in adverse human reactions like celiac disease, wheat allergy and the non-celiac wheat sensitivity (NCWS). Using LC-MS-based LFQ proteomics of aqueous flour extracts we determined 756 proteins across 150 wheat varieties grown in three environments. However, only 303 proteins were stably expressed across all environments in at least one variety underlining the large influence of environmental conditions on the expression of many proteins. Moreover, only 89 proteins were comparably expressed by all 150 varieties, with high coefficients of variation for the other proteins. Heritability (h) ranged from 0-1 with 114 proteins having h² > 0.6. Therefore, the expression of the variable proteins should be amenable to targeted manipulation across the wheat supply chain by varietal choice and breeding. Our study provides a first approach towards a fast and high-throughput methodology for quantifying these proteins which is required to breed wheats with the desired properties. Amylase trypsin inhibitors (ATIs) appear as a potential trigger for NCWS inducing intestinal and extra-intestinal inflammation. Studies on the prevalence and genetic architecture of ATI proteins in wheat are lacking so far. Large differences in the content and composition of 8 ATIs in the different varieties were identified by QconCAT-assisted quantification. The ATI proteins had low coefficients of correlations with quality traits commonly analyzed in wheat breeding. However, heritability was quite low except for ATI 0.28 and ATI CM2. A genome wide association mapping revealed a complex genetic architecture built up on many small but few medium and two major quantitative trait loci (QTL). The latter were on chromosome 3B for ATI 0.19-like and 6B for ATI 0.28 explaining 70.6 and 68.7% of the genetic variance, respectively. Using the wheat reference genome sequence, seven potential candidate genes behind the medium and major QTL were described with only one showing polymorphism based on exome capture analysis. Consequently, wheat breeding could contribute to a reduction of ATI contents in wheat products if incidence of ATI on human health is further confirmed.

Dataset Information

Proteomics profiling reveals the detoxification and tolerance behavior of two bread wheat (Triticum aestivum L.) varieties under arsenate stress

Publications

Metabolomics profiling reveals the detoxification and tolerance behavior of two bread wheat (Triticum aestivum L.) varieties under arsenate stress.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets