RESUMO
BACKGROUND: Wheat seed germination directly affects wheat yield and quality. Although transcriptome and proteome analyses during seed germination have been reported in some crop plant species, dynamic transcriptome characterization during wheat seed germination has not been conducted. We performed the first comprehensive dynamic transcriptome analysis during different seed germination stages of elite Chinese bread wheat cultivar Jimai 20 using the Affymetrix Wheat Genome Array. RESULTS: A total of 61,703 probe sets representing 51,411 transcripts were identified during the five seed germination stages of Jimai 20, of which 2,825 differential expression probe sets corresponding to 2,646 transcripts with different functions were declared by ANOVA and a randomized variance model. The seed germination process included a rapid initial uptake phase (0-12 hours after imbibition [HAI]), a plateau phase (12-24 HAI), and a further water uptake phase (24-48 HAI), corresponding to switches from the degradation of small-molecule sucrose to the metabolism of three major nutrients and to photosynthesis. Hierarchical cluster and MapMan analyses revealed changes in several significant metabolism pathways during seed germination as well as related functional groups. The signal pathway networks constructed with KEGG showed three important genes encoding the phosphofructokinase family protein, with fructose-1, 6-bisphosphatase, and UTP-glucose-1-phosphate uridylyltransferase located at the center, indicating their pivotal roles in the glycolytic pathway, gluconeogenesis, and glycogenesis, respectively. Several significant pathways were selected to establish a metabolic pathway network according to their degree value, which allowed us to find the pathways vital to seed germination. Furthermore, 51 genes involved in transport, signaling pathway, development, lipid metabolism, defense response, nitrogen metabolism, and transcription regulation were analyzed by gene co-expression network with a k-core algorithm to determine which play pivotal roles in germination. Twenty-three meaningful genes were found, and quantitative RT-PCR analysis validated the expression patterns of 12 significant genes. CONCLUSIONS: Wheat seed germination comprises three distinct phases and includes complicated regulation networks involving a large number of genes. These genes belong to many functional groups, and their co-regulations guarantee regular germination. Our results provide new insight into metabolic changes during seed germination and interactions between some significant genes.
Assuntos
Sementes/genética , Triticum/genética , Perfilação da Expressão Gênica , Germinação/genética , Germinação/fisiologia , Reação em Cadeia da Polimerase Via Transcriptase ReversaRESUMO
As an abundant ROS, hydrogen peroxide (H2 O2 ) plays pivotal roles in plant growth and development. In this work, we conducted for the first time an iTRAQ-based quantitative proteomic analysis of wheat seedling growth under different exogenous H2 O2 treatments. The growth of seedlings and roots was significantly restrained by increased H2 O2 concentration stress. Malondialdehyde, soluble sugar, and proline contents as well as peroxidase activity increased with increasing H2 O2 levels. A total of 3,425 proteins were identified by iTRAQ, of which 157 showed differential expression and 44 were newly identified H2 O2 -responsive proteins. H2 O2 -responsive proteins were mainly involved in stress/defense/detoxification, signal transduction, and carbohydrate metabolism. It is clear that up-regulated expression of signal transduction and stress/defence/detoxification-related proteins under H2 O2 stress, such as plasma membrane intrinsic protein 1, fasciclin-like arabinogalactan protein, and superoxide dismutase, could contribute to H2 O2 tolerance of wheat seedlings. Increased gluconeogenesis (phosphoenol-pyruvate carboxykinase) and decreased pyruvate kinase proteins are potentially related to the higher H2 O2 tolerance of wheat seedlings. A metabolic pathway of wheat seedling growth under H2 O2 stress is presented.
Assuntos
Peróxido de Hidrogênio/toxicidade , Marcação por Isótopo/métodos , Redes e Vias Metabólicas/efeitos dos fármacos , Proteômica/métodos , Plântula/crescimento & desenvolvimento , Estresse Fisiológico/efeitos dos fármacos , Triticum/metabolismo , Análise por Conglomerados , Regulação da Expressão Gênica de Plantas/efeitos dos fármacos , Folhas de Planta/efeitos dos fármacos , Folhas de Planta/metabolismo , Proteínas de Plantas/classificação , Proteínas de Plantas/metabolismo , Raízes de Plantas/efeitos dos fármacos , Raízes de Plantas/metabolismo , Proteoma/metabolismo , Plântula/efeitos dos fármacos , Plântula/genética , Plântula/metabolismo , Estresse Fisiológico/genética , Transcrição Gênica/efeitos dos fármacos , Triticum/efeitos dos fármacos , Triticum/genética , Triticum/crescimento & desenvolvimentoRESUMO
BACKGROUND: The analyses of protein synthesis, accumulation and regulation during grain development in wheat are more complex because of its larger genome size compared to model plants such as Arabidopsis and rice. In this study, grains from two wheat cultivars Jimai 20 and Zhoumai 16 with different gluten quality properties were harvested at five development stages, and were used to displayed variable expression patterns of grain proteins. RESULTS: Proteome characterization during grain development in Chinese bread wheat cultivars Jimai 20 and Zhoumai 16 with different quality properties was investigated by 2-DE and tandem MALDI-TOF/TOF-MS. Identification of 117 differentially accumulated protein spots representing 82 unique proteins and five main expression patterns enabled a chronological description of wheat grain formation. Significant proteome expression differences between the two cultivars were found; these included 14 protein spots that accumulated in both cultivars but with different patterns and 27 cultivar-different spots. Among the cultivar-different protein spots, 14 accumulated in higher abundance in Jimai 20 than in Zhoumai 16, and included NAD-dependent isocitrate dehydrogenase, triticin precursor, LMW-s glutenin subunit and replication factor C-like protein. These proteins are likely to be associated with superior gluten quality. In addition, some proteins such as class II chitinase and peroxidase 1 with isoforms in developing grains were shown to be phosphorylated by Pro-Q Diamond staining and phosphorprotein site prediction. Phosphorylation could have important roles in wheat grain development. qRT-PCR analysis demonstrated that transcriptional and translational expression patterns of many genes were significantly different. CONCLUSIONS: Wheat grain proteins displayed variable expression patterns at different developmental stages and a considerable number of protein spots showed differential accumulation between two cultivars. Differences in seed storage proteins were considered to be related to different quality performance of the flour from these wheat cultivars. Some proteins with isoforms were phosphorylated, and this may reflect their importance in grain development. Our results provide new insights into proteome characterization during grain development in different wheat genotypes.
Assuntos
Regulação da Expressão Gênica de Plantas , Glutens/metabolismo , Proteoma/análise , Sementes/crescimento & desenvolvimento , Triticum/metabolismo , Sequência de Aminoácidos , Eletroforese em Gel Bidimensional , Glutens/genética , Dados de Sequência Molecular , Fosfoproteínas/genética , Fosfoproteínas/metabolismo , Fosforilação , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Isoformas de Proteínas/genética , Isoformas de Proteínas/metabolismo , Proteômica , Sementes/genética , Sementes/metabolismo , Especificidade da Espécie , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz , Transcrição Gênica , Triticum/genética , Triticum/crescimento & desenvolvimento , LeguminasRESUMO
Phylogenetic relationships between the C, U, N, and M genomes of Aegilops species and the genomes of common wheat and other related species were investigated by using three types of low-molecular-weight glutenin subunit (LMW-GS) genes at Glu-3 loci. A total of 20 LMW-GS genes from Aegilops and Triticum species were isolated, including 11 LMW-m type and 9 LMW-i type genes. Particularly, four LMW-m type and three LMW-i type subunits encoded by the genes on the C, N, and U genomes possessed an extra cysteine residue at conserved positions, which could provide useful information for understanding phylogenetic relationships among Aegilops and Triticum genomes. Phylogenetic trees constructed by using either LMW-i or the combination of LMW-m and LMW-s, as well as analysis of all the three types of LMW-GS genes together, demonstrated that the C and U genomes were closely related to the A genome, whereas the N and M genomes were closely related to the D genome. Our results support previous findings that the A genome was derived from Triticum uratu, the B genome was from Aegilops speltoides, and the D genome was from Aegilops tauschii. In addition, phylogenetic relationships among different genomes analysed in this study support the concept that Aegilops is not monophyletic.
Assuntos
Genoma de Planta/genética , Glutens/genética , Filogenia , Triticum/genética , Sequência de Bases , Clonagem Molecular , DNA de Plantas/química , DNA de Plantas/genética , Evolução Molecular , Glutens/química , Glutens/classificação , Dados de Sequência Molecular , Peso Molecular , Poaceae/classificação , Poaceae/genética , Análise de Sequência de DNA , Homologia de Sequência do Ácido Nucleico , Especificidade da Espécie , Triticum/classificaçãoRESUMO
A comparative proteomic analysis was made of salt response in seedling roots of wheat cultivars Jing-411 (salt tolerant) and Chinese Spring (salt sensitive) subjected to a range of salt stress concentrations (0.5%, 1.5% and 2.5%) for 2 days. One hundred and ninety eight differentially expressed protein spots (DEPs) were located with at least two-fold differences in abundance on 2-DE maps, of which 144 were identified by MALDI-TOF-TOF MS. These proteins were involved primarily in carbon metabolism (31.9%), detoxification and defense (12.5%), chaperones (5.6%) and signal transduction (4.9%). Comparative analysis showed that 41 DEPs were salt responsive with significant expression changes in both varieties under salt stress, and 99 (52 in Jing-411 and 47 in Chinese Spring) were variety specific. Only 15 and 9 DEPs in Jing-411 and Chinese Spring, respectively, were up-regulated in abundance under all three salt concentrations. All dynamics of the DEPs were analyzed across all treatments. Some salt responsive DEPs, such as guanine nucleotide-binding protein subunit beta-like protein, RuBisCO large subunit-binding protein subunit alpha and pathogenesis related protein 10, were up-regulated significantly in Jing-411 under all salt concentrations, whereas they were down-regulated in salinity-stressed Chinese Spring.