Project description:The greenbug aphid, Schizaphis graminum (Rondani) is an important cereal pest periodically threatening wheat yields in the United States and around the world. The wheat breeding program at Texas A&M University has introgressed the greenbug resistance gene Gb3 from synthetic wheat ‘Largo’ into the widely grown cultivars TAM 110 and TAM 112; however, the molecular mechanisms of Gb3-induced defense responses remain unknown. Using Affymetrix GeneChip Wheat Genome Arrays, we investigated the temporal dynamics of Gb3-mediated transcriptional responses upon greenbug feeding on resistant and susceptible bulks (RB and SB respectively) derived from two near-isogenic lines. Following statistical analysis, the MapMan functional classification on 692 differentially expressed transcripts from the interaction group identified 122 transcripts that were putatively associated with biotic stress responses. In RB, Gb3 induced transmembrane receptor kinases and downstream early defense signal transduction pathways. However, non-Gb3 mediated pathways in SB prompted induction of transcripts mediating callose decomposition and transcripts regulating biosynthesis of stress hormones jasmonic acid, ethylene, and abscisic acid. Additionally, the SB showed elevated levels of transcripts mediating redox homeostasis, peroxidases, glutathione S-transferases, and defense-related secondary metabolites. Overall, the results indicated that greenbugs inflicted more damage in the SB compared to RB and absence of Gb3-mediated signaling resulted in cell wall remodeling and strong accumulation of toxic compounds warranting production of antioxidant and defense-related compounds. The study reinforced our knowledge about preferential feeding on S genotypes and plausible antixenosis or tolerance-related defense signaling in Gb3-associated R genotypes and generated several new hypotheses.
Project description:The wheat Nils expression profiles differ because of their response to aphid feeding (i.e., antibiosis - Dn1; tolerance - Dn2; antixenosis and antibiosis - Dn5) We used GeneChip Wheat Genome Array (Affymetrix, USA) analysis to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process.
Project description:We used two wheat genotypes, the susceptible wheat cultivar ‘8866 ’(S) and its near isogenic line with single powdery mildew resistance gene ‘pm30’ (R), to investigate gene expression changes in response to powdery mildew infection by using Wheat Genome Array
Project description:We used two wheat genotypes, the susceptible wheat cultivar ‘8866 ’(S) and its near isogenic line with single powdery mildew resistance gene ‘pm30’ (R), to investigate gene expression changes in response to powdery mildew infection by using Wheat Genome Array wheat young leveas of near isogenic lines before or 12 hours after powdery mildew infection were selected for RNA extraction and hybridization on Affymetrix microarrays.The leaf samples were harvested from three independent biological replicates, and the leaves without inoculation were regarded as control.
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:We used isobaric tags for relative and absolute quantitation (iTRAQ) to perform a quantitative proteomic analysis of immature spikes harvested from tetraploid near-isogenic lines of wheat with normal spikelete (NSs), FRSs, and RSs and investigated the molecular mechanisms of lateral meristem differentiation and development. This work provides valuable insight into the underlying functions of the lateral meristem and how it can produce differences in the branching of tetraploid wheat spikes.
Project description:Wheat is the staple food of over 35% of the world’s population, accounts for 20% of all human calories, and its yield and quality improvement is a focus in the effort to meet new demands from population growth and changing diets. As the complexity of the wheat genome is unravelled, determining how it is used to build the protein machinery of wheat plants is a key next step in explaining detailed aspects of wheat growth and development. The specific functions of wheat organs during vegetative development and the role of metabolism, protein degradation and remobilisation in driving grain production are the foundations of crop performance and have recently become accessible through studies of the wheat proteome. With the aim of creating a resource complementary to current genome sequencing and assembly projects and to aid researchers in the specific analysis and measurement of wheat proteins of interest, we present a large scale, publicly accessible database of identified peptides and proteins derived from the proteome mapping of Triticum aestivum. This current dataset consists of twenty four organ and developmental samples in an online interactive resource allowing the selection, comparison and retrieval of proteomic data with rich biochemical annotation derived from multiple sources. Tissue specific sub-proteomes and ubiquitously expressed markers of the wheat proteome are identified alongside hierarchical assessment of protein functional classes and their presence in different tissues. The impact of wheat’s polyploid genome on proteome analysis and the effect on defining gene specific and protein family relationships is accounted for in the organisation of the data. The dataset will serve as a vehicle to build, refine and deposit confirmed targeted proteomic assays for wheat proteins and protein families to assess function.