Most vacuolar proteins are synthesized on the endoplasmic reticulum (ER) as a proprotein precursor and then transported to vacuoles. In vacuoles, they are converted into the respective mature form. TaVPE1 and TaVPE2 were isolated from the cDNA library that was prepared from the wheat kernels at 16 and 18 days after fertilization (DAF). Additionally, putative TaVPEs (TaVPE3, TaVPE4) were isolated by inverse PCR (IPCR) using GrainGenes database. Each open reading frame (ORF) encodes 495, 497, 495, 456 amino acids, respectively. TaVPEs were closely related in respect to peptide comparisons and their sequence homologies were ranged from 84% to 93%. The TaVPE genes showed various expression patterns in response to exogenous treatment of phytohormones. The transcript of TaVPE1 was detected slightly and steadily after exposure to all phytohormones and the accumulation of TaVPE2 transcript was increased from 24 hours in NaCl treatment. The transcript of TaVPE3 was increased from 48 hours in response to H2O2 and decreased after exogenous application of ABA and salicylic acid. In case of TaVPE4, the transcript of TaVPE4 were weakly detected all time points of each phytohormone treatment.

The purpose of this study is to explore the concept of a logistics hub, identify key factors and milestones for its development, and give some recommendations and implications to developing countries. For this the countries competing to be Logistics hub in Northeast Asia (NEA), such as South Korea, japan and China, are taken into consideration These countries have under its priority policies the development of a logistics hub vision to become the central area of the region achieving microeconomic and macroeconomic prosperity. Based on the review of the relevant literature, five factors came up as key determinants for the development of a hub project: 1. Logistics services support and infrastructure. 2. Business environment. 3. Economic determinants. 4. Political support and 5. Access to international markets. These are going to be analyzed together with its different variables, using statistical methods.