Functional Analysis Of Wheat VRN2Gene And Identification Of Early Responsive Genes During The Shift From Short Days To Long Days

The floral transition process is the core of plant growth and development, wheat (Triticum aestivum L.) as an important grain crops, vernalization and photoperiod phenomenon is an important factor affecting its flowering time. It requires a prolonged period of cold treatment for timely flowering, a process referred to asvernalization. Genetic studies showed that the major wheat vernalization regulated genes are VRN1, VRN2, VRN3and other genetic loci, in order to further study the molecular mechanism of wheat vernalization VRN2, we separate the ZCCT1and ZCCT2genes of wheat VRN2sites, using Agrobacterium transformation technology in Brachypodium distachyon to verify its function.Photoperiodic phenomenon refers to that wheat flowering can be accelerated by long-days. Even the completion of vernalization, winter wheat and spring wheat growth in the short-day still non-flowering or late flowering, but when placed in long-day they will be flowering quickly, so there must be a long-day induction of flowering signals pathways, but the signal transduction pathways are unknown. In this study, Expression profiling sequencing and microarray technology are used to identify a group of genes participate the process of shifting from short days to long days, which can affect the flowering time. These genes may also be non-coding RNA genes, such as small non-coding RNA, which will make a base for further study of long-day promote flowering pathway in wheat.Currently, Ubi::ZCCT1-A1and Ubi::ZCCT1-D1transgenic plant compared with the same period Wild-type plant, there exist a late flowering phenomenon. But after three weeks of vernalization, late flowering phenotype can be recovering, the results showed that overexpression of ZCCT1may be increased the demand of vernalization in Brachypodium distachyon.After the high throughput expression profiling sequencing and microarray bioinformatics analysis, we found significantly differentially expressed genes1093and228respectively. Among these differentially expressed genes, there are ten overlapping genes both detected in transcriptome sequencing and microarray bioinformatics. At the same time, we analyzed the function of these ten genes and a quantitative qRT-PCR validation was carried out. The results show that the results were consistent with the expression profiling results and microarray. In addition, the groups of small RNA transcripts were also analyzed to identify significant differentially expressed miRNA. These differentially expressed miRNAs were carried out qRT-PCR validation and predict their possible target gene and the target gene functions were annotate simultaneously.