ABSTRACT
To elucidate one mechanism by which putrescine (Put) functions in plant signaling under osmotic stress, Put and ABAcontents, and plasma membrane-NADPH oxidase (PM-NOX) activity were detected in wheat seedling leaves. Underosmotic stress, ABA and Put contents, PM-NOX activity, and PM-NOX-dependent O2.- production all increased. Theinhibitor tungstate (T) of ABA bio-synthesis reduced the increases in ABA and Put contents under osmotic stress. Theinhibitor D-arginine (D-Arg) of Put bio-synthesis didn’t reduce osmotic-induced increase of ABA, but it inhibited theincreases of PM-NOX activity and O2. - production, and the inhibitory effects were reversed by exogenous Put. Thesefindings suggested that ABA might regulate Put biosynthesis, and Put might regulate PM-NOX activity. Treatments withthree inhibitors imidazole (I), diphenylene iodonium (DPI) and pyridine (P) of PM-NOX reduced significantly not only O2. -production, but also the stress-induced increase of Put content, which indicated that O2. - production might regulate Putbiosynthesis. Treatments with EGTA (Ca2? chelator), La3? and verapamil (V) (Ca2? channel blockers) reduced significantly the stress-induced increase of Put content, which suggested that Ca2? might regulate Put biosynthesis. With thesefindings, it could be concluded that Put was involved in ABA signaling induced by osmotic stress via regulating PM-NOXactivity in wheat seedling leaves.
ABSTRACT
ABSTRACT: Wheat (Triticum aestivum L.) stem development significantly affects grain yield. The dwarf plants (D) of wheat mutant dms was less than 30cm. Here, we were to explore the molecular basis for the restrained stem development of the dwarf plants. The results were reached by compare the young spikes and stems transcriptomes of the tall (T) and D plants of mutant dms. We identified 663 genes highly expressed in stem tips. We identified 997 differentially expressed genes (DEGs) in stem tips between T and D, 403 DEGs were significantly related with stem development. Most biological processes in stem tips on dwarf plants were significantly suppressed, such as phytohormone signaling etc. The sequencing analysis results were confirmed by quantitatively analysis the expression profiles of fourteen key DEGs via real-time QRT-PCR. We identified a group genes related to wheat stem development, identified a group DEGs related to the restrained stem development of D plants of dms. The suppressed phytohormone signaling, carbohydrate transport and metabolism were the major causal factors leading to dwarf plants of D. Our dataset provides a useful resource for investigating wheat stem development.
RESUMO: O desenvolvimento da haste do trigo (Triticum aestivum L.) afeta significativamente o rendimento dos grãos. A partir disso, empregou-se a base molecular para o desenvolvimento de uma haste de variedade de trigo. Os resultados foram alcançados ao conferir as hastes de um mutante de trigo DMS. Identificou-se 663 genes altamente expressos na haste; 997 genes (DEGs) diferentemente expressos em hastes entre T e D e; 403 DEGs foram significativamente diferentes. A maioria dos processos biológicos de caule tipo não plantas foram significativamente suprimidas, com o fito hormônio de sinalização. Os resultados da análise de sequencia foram confirmados pela expressão quantitativa de perfis de catorze chave DEGs através de qRT-PCR em tempo real. Nota-se um grupo de genes relacionados com a haste de trigo de desenvolvimento. Identificou-se um grupo DEGs relacionados com o desenvolvimento de um tronco D plantas de DMS. O fito hormônio de sinalização, transporte e metabolismo de hidratos de carbono foram os principais fatores suscetíveis das plantas anão de D. Nosso conjunto de dados fornece um recurso útil para investigar o desenvolvimento do caule de trigo.
ABSTRACT
Evaluation of performance stability and high yield is essential for yield trials conducted in different environments. We determined the stability of 10 bread wheat (Triticum aestivum L.) genotypes (5 cultivars and 5 advanced lines) using nonparametric stability measures and compared nonparametric stability statistics across 19 environments in the Central Anatolian Region of Turkey. Experiments were setup in a randomized complete block design with four replications. Nonparametric stability measures revealed that AL-2, Karahan-99 and Altay-2000 were the most stable and well adapted genotypes across the 19 environments. In addition, it was concluded that graphs of mean grain yield (t ha-1) vs. nonparametric measures (Si(1), Si(2), S(3), Si(6) and sigma-gy) values and kr vs. sigma-r values could enhance visual efficiency of genotype selection based on genotype by environment interaction. Furthermore, high TOP values, Si(3) and Si(6) were associated with high grain yield, but the other nonparametric stability measures were not positively correlated with grain yield and instead characterized a static concept of stability. Choice of genotype for increased grain yield in bread wheat would, therefore, be expected to change yield stability by increasing the values of the Si(3), Si(6) and TOP nonparametric stability statistics.