Project description:Transcriptional comparison of developing grains between two wheat genotypes with contrasting levels of minerals in grain, using Affymetrix GeneChip® Wheat Genome Array.
Project description:Transcriptional comparison of developing grains between two wheat genotypes with contrasting levels of minerals in grain, using Affymetrix GeneChipM-BM-. Wheat Genome Array. Gene expression data of two wheat genotypes with high and low grain mineral concentration at two seed development stages (14, and 28 days after anthesis)
Project description:Nuclear proteins of developing wheat grains collected during the cellularization, effective grain-filling and maturation phases of development were analysed.. Nuclear proteins were extracted and separated by two-dimensional gel electrophoresis. Image analysis revealed 371 and 299 reproducible spots in gels with first dimension separation along pH 4-7 and pH 6-11 isoelectric gradients, respectively. The relative abundance of 464 (67%) protein spots changed during grain development. Abundance profiles of these proteins clustered in six groups associated with the major phases and phase transitions of grain development. Using nano liquid chromatography-tandem mass spectrometry to analyse 387 variant and non-variant protein spots, 114 different proteins were identified that were classified into 16 functional classes. We noted that some proteins involved in the regulation of transcription, like HMG1/2-like protein and histone deacetylase HDAC2, were most abundant before the phase transition from cellularization to grain-filling, suggesting that major transcriptional changes occur during this key developmental phase. The maturation period was characterized by high relative abundance of proteins involved in ribosome biogenesis.
Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0~7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5~5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.
Project description:Purpose: The present study aimed to investigate the anthocyanin components and identify relevant regulatory genes in purple wheat grain by carrying out transcriptome analyses. Methods: The seeds of purple grain wheat and white grain wheat were collected 30 days after flowering, and three biological replicates were set. Total RNA was isolated and purified using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) following the manufacturer's procedure. The RNA amount and purity of each sample was quantified using NanoDrop ND-1000. Then synthesizing the fragmented RNA into cDNA through the action of reverse transcriptase, and finally obtaining acDNA library. At last, we performed the 2×150bp paired-end sequencing (PE150) on an Illumina Novaseq™ 6000 following the vendor's recommended protocol. Results: A total of 10440 diferentially expressed genes were signifcantly enriched by RNA sequencing. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed signifcantly enriched flavonoid biosynthesis and anthocyanin biosynthesis in CW_S versus W_S. And the ANS and UFGT genes were predicted as core genes in anthocyanin biosynthesis. Conclusions: Our study represents the detailed analysis of wheat grain transcriptomes, with biologic replicates, generated by RNA-seq technology. Through this study, we speculated that ANS and UFGT genes are the core genes of anthocyanin biosynthesis.The significant differences of these genes affect the synthesis of anthocyanins in wheat grains, and thus affect the grain color of wheat.
Project description:To better understand the regulatory mechanisms of water stress response in wheat, the transcript profiles in roots of two wheat genotypes, namely, drought tolerant 'Luohan No.2' (LH) and drought susceptible 'Chinese Spring' (CS) under water-stress were comparatively analyzed by using the Affymetrix wheat GeneChip®. A total of 3831 transcripts displayed 2-fold or more expression changes, 1593 transcripts were induced compared with 2238 transcripts were repressed, in LH under water-stress; Relatively fewer transcripts were drought responsive in CS, 1404 transcripts were induced and 1493 were repressed. Comparatively, 569 transcripts were commonly induced and 424 transcripts commonly repressed in LH and CS under water-stress. 689 transcripts (757 probe sets) identified from LH and 537 transcripts (575 probe sets) from CS were annotated and classified into 10 functional categories, and 74 transcripts derived from 80 probe sets displayed the change ratios no less than 16 in LH or CS. Several kinds of candidate genes were differentially expressed between the LH and CS, which could be responsible for the difference in drought tolerance of the two genotypes.
Project description:Based on EST-based in silico gene expression analysis a 15k oligonucleotid microarray has been developped in order to monitor environmental stress-dependent gene expression changes in the wheat caryopsis. Using this array, the effect of water withdrawal, with and and without additional heat stress, during the first five days of grain development (0-5 DAA) has been investigated on two wheat cultivars differing in their drought sensitivity. The combined effect of heat and drought (DH) on gene expression was much significant (8-10% of the investigated genes changed >2-fold) in contrast to drought alone (1.5%). Drought and heat stress resulted in the co-ordinated change of the expression of storage proteins, some enzymes involved in sugar/starch metabolism, cell division-related and histone proteins, certain transcription factors, heat shock proteins, proteases and aquaporins. The potential link between the observed gene expression changes and the parallel histological observations indicating the accelerated development of the stressed grains is discussed.