Grain RNAseq of two hard red winter wheat cultivars with contrasting grain protein contents
Ontology highlight
ABSTRACT:
ORGANISM(S): Triticum aestivum
PROVIDER: GSE210495 | GEO | 2022/11/02
REPOSITORIES: GEO
Similar Datasets
Project description:Grain RNAseq of two hard red winter wheat cultivars with contrasting grain protein contents
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Project description:Exogenous spermidine promotes starch sugar metabolism in wheat grains, thereby promoting grain filling
2019-08-14 | GSE135536 | GEO
Project description:Water deficit stress between the booting and grain filling stages significantly affect grain yield and quality of hard red winter wheat. Several stress tolerant cultivars with different adaptation mechanisms have been released and are widely cultivated on the Southern Great Plains of the US. However, the physiological, molecular, and genetic basis of adaptation to drought stress for these cultivars remains unknown. Use of transcriptome profiling to identify drought responsive genes in hexaploid wheat is a challenging process given the quantitative nature of drought stress, genome complexity, and the intricacy of interaction effects. If the information generated from functional genomics studies is to be used in molecular breeding programs for cultivar development, it is highly desirable to use cultivars better adapted for the region. In the current study we used two well-adapted, drought-tolerant, high-yielding, cultivated varieties, TAM 111 and TAM 112, which appear to have different adaptation mechanisms, to identify drought stress induced transcripts during heading and early dough stages. A set of 24 Affymetrix GeneChip wheat genome arrays (2 cultivars; 2 water treatments; 2 sampling stages; 3 biological replicates) from plants subjected to water deficit stress under controlled glasshouse conditions. Differentially expressed genes were identified using a ANOVA (p<0.01) controlling false discovery rate (FDR, q<0.01) using Benjamini Hochberg approach.
2022-01-01 | GSE45262 | GEO
Project description:Wheat cultivars ‘TAM 111’ and ‘TAM 112’ have been dominantly grown in the Southern U.S. Great Plains for many years due to their excellent, yet variable, drought tolerance. To identify the molecular basis and genetic control of drought tolerance in these two landmark cultivars, RNA-seq analysis was conducted to compare gene expression difference in flag leaves under fully irrigated (wet) and water deficient (dry) conditions. Of the 122,017 gene sequences assembled, 2,254 genes showed significantly altered expression patterns under dry and wet conditions in the two cultivars. TAM 111 had 593 and 1,532 dry-wet differentially expressed genes (DEGs), and TAM 112 had 777 and 1,670 at heading and grain-filling stages, respectively. The two cultivars have 1,214 (53.9%) dry-wet DEGs in common, which agreed with their excellent adaption to drought, but 438 and 602 dry-wet DEGs were respectively shown only in TAM 111 and TAM 112 suggested that each may have a specific mechanism to cope with drought. Annotation of all 2,254 genes with dry-wet expression difference found 1,855 have functions related to biosynthesis, stress responses, defense responses, transcription factors and cellular components related to ion or protein transportation and signal transduction. Comparing hierarchical structure of biological processes, molecule functions and cellular components revealed the significant regulation differences between TAM 111 and TAM 112, particularly for genes of phosphorylation and adenyl ribonucleotide binding, and proteins located in nucleus and plasma membrane. Comparing gene expressions involved in responses to stresses of water deprivation, heat and oxidative, ABA-induced signal pathway and transcription regulation found TAM 112 have more specific dry-wet DEGs than TAM 111 with most of them up-regulated, indicating that TAM 112 is more active than TAM 111 in response to drought. In addition, 399 dry-wet DEGs with unknown functions included 258 genes encoding predicted uncharacterized proteins and 141 unannotated genes with no similar sequences identified in the databases. These may represent novel genes related to drought response in TAM 111 or TAM 112. This research thus revealed different drought-tolerance mechanisms in TAM 111 and TAM 112 and identified useful drought tolerance genes for wheat adaption.
2020-08-29 | GSE157033 | GEO
Project description:grain-filling period wheat grains of the near-isogenic lines 16-723 and 16-1010, which have large differences in quality, to perform proteome analysis
2020-03-30 | PXD020200 |
Project description:Heat stress is one of the major abiotic stress factor that affects wheat yield. Especially, heat stress during grain filling affects grain yield besides reduced grain quality. So, in our present study, three genotypes with varied levels of tolerance to heat stress were chosen. They were subjected to heat stress at two stages for three days viz., early (11-14days-post-anthesis) and late (27-30dpa) grain filling independently under controlled conditions. At 14 and 30dpa, the spikes were harvested from control and stress conditions from all the three genotypes, grains were isolated and pulverized. Hence pulverized tissues are used for RNA extraction and further for transcriptome sequencing using HiSeq 4000. Data were analyzed to identify the genes involved in imparting heat stress tolerance.
2019-12-16 | E-MTAB-6140 | biostudies-arrayexpress
Project description:Wheat is one of the most significant crops in terms of human consumption in the world. In a climate change scenario, extreme weather event such as heatwaves will be more frequent especially during the grain-filling (GF) stage and could affect grain weight and quality of crops. Molecular mechanisms underlying the response to short heat stress (HS) have been widely reported for the hexaploid wheat (Triticum aestivum) but the regulatory heat stress mechanisms in tetraploid durum wheat (Triticum turgidum ssp. durum) remain partially understood. In this work, we performed a transcriptomic analysis of durum wheat grains to HS during early GF to identify key HS response genes and their predicted regulatory networks under glasshouse conditions.
2021-10-26 | GSE186472 | GEO
Project description:Flag (FL) and second leaves (SL) in rice show differential aging patterns during monocarpic senescence. Coordination of aging programs in the top leaves is important for effective grain-filling. However, molecular bases for differential aging programs in the top leaves have not been systematically explored in rice. Here, we performed mRNA-sequencing of FL and SL at six time points during the grain-filling period. mRNA expression data revealed 6,365 genes showing aging-dependent expression changes in FL and/or SL. Of them, while 3047 genes showed shared aging-dependent expression patterns between FL and SL, 3058 genes showed differential expression patterns, which were classified into 5 major groups (G1-5) based on their differential expression patterns. Of the groups, G3 representing amino acid (AA) transport showed consistent differential age-dependent expression patterns in independent samples, whereas the other groups showed inconsistent differential expression patterns. Moreover, of AA transporters (AATs) in G3, long-distance AATs showed invariant differential age-dependent expression patterns after panicle removal, consistent to panicle removal-invariant differential nitrogen contents between FL and SL, known to be associated with protein concentration in grains. Our results suggest that long-distance AA transport is an invariant core transcriptional program of differential aging in rice top leaves for nitrogen remobilization during grain-filling.
2017-09-22 | GSE89233 | GEO
Project description:In winter wheat, grain development is asynchronous. The grain number and grain weight vary significantly at different spikelet and grain positions among wheat cultivars grown at different plant densities. In this study, two winter wheat (Triticum aestivum L.) cultivars, 'Wennong6' and 'Jimai20', were grown under four different plant densities for two seasons, in order to study the effect of plant density on the grain number and grain weight at different spikelet and grain positions. The results showed that the effects of spikelet and grain positions on grain weight varied with the grain number of spikelets. In both cultivars, the single-grain weight of the basal and middle two-grain spikelets was higher at the 2nd grain position than that at the 1st grain position, while the opposite occurred in the top two-grain spikelets. In the three-grain spikelets, the distribution of the single-grain weight was different between cultivars. In the four-grain spikelets of Wennong6, the single-grain weight was the highest at the 2nd grain position, followed by the 1st, 3rd, and 4th grain positions. Regardless of the spikelet and grain positions, the single-grain weight was the highest at the 1st and 2nd grain positions and the lowest at the 3rd and 4th grain positions. Overall, plant density affected the yield by controlling the seed-setting characteristics of the tiller spike. Therefore, wheat yield can be increased by decreasing the sterile basal and top spikelets and enhancing the grain weight at the 3rd and 4th grain positions, while maintaining it at the 1st and 2nd grain positions on the spikelet.
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Project description:Grain protein contents (GPCs) of barley seeds are significantly different between feed and malting barley cultivars. However, there is still no insight into the proteomic analysis of seed proteins between feed and malting barley cultivars. Also, the genetic control of barley GPC is still unclear. GPCs were measured between mature grains of Yangsimai 3 and Naso Nijo. A proteome profiling of differentially expressed protein was established by using a combination of 2-DE and tandem mass spectrometry. In total, 502 reproducible protein spots in barley seed proteome were detected with a pH range of 4-7 and 6-11, among these 41 protein spots (8.17%) were detected differentially expressed between Yangsimai 3 and Naso Nijo. Thirty-four protein spots corresponding to 23 different proteins were identified, which were grouped into eight categories, including stress, protein degradation and post-translational modification, development, cell, signaling, glycolysis, starch metabolism, and other functions. Among the identified proteins, enolase (spot 274) and small subunit of ADP-glucose pyrophosphorylase (spot 271) are exclusively expressed in barley Yangsimai 3, which may be involved in regulating seed protein expression. In addition, malting quality is characterized by an accumulation of serpin protein, Alpha-amylase/trypsin inhibitor CMb and Alpha-amylase inhibitor BDAI-1. Most noticeably, globulin, an important storage protein in barley seed, undergoes post-translational processing in both cultivars, and also displays different expression patterns.
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