Zang et al. / J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2015 16(8)Abstract: Glucosinolates (GSs) are an important group of defensive phytochemicals mainly found in Brassicaceae. Plant hormones jasmonic acid (JA) and salicylic acid (SA) are major regulators of plant response to pathogen attack. However, there is little information about the interactive effect of both elicitors on inducing GS biosynthesis in Chinese cabbage (Brassica rapa ssp. pekinensis). In this study, we applied different concentrations of methyl jasmonate (MeJA) and/or SA onto the leaf and root of Chinese cabbage to investigate the time-course interactive profiles of GSs. Regardless of the site of the elicitation and the concentrations of the elicitors, the roots accumulated much more GSs and were more sensitive and more rapidly responsive to the elicitors than leaves. Irrespective of the elicitation site, MeJA had a greater inducing and longer lasting effect on GS accumulation than SA. All three components of indole GS (IGS) were detected along with aliphatic and aromatic GSs. However, IGS was a major component of total GSs that accumulated rapidly in both root and leaf tissues in response to MeJA and SA elicitation. Neoglucobrassicin (neoGBC) did not respond to SA but to MeJA in leaf tissue, while it responded to both SA and MeJA in root tissue. Conversion of glucobrassicin (GBC) to neoGBC occurred at a steady rate over 3 d of elicitation. Increased accumulation of 4-methoxy glucobrassicin (4-MGBC) occurred only in the root irrespective of the type of elicitors and the site of elicitation. Thus, accumulation of IGS is a major metabolic hallmark of SA-and MeJA-mediated systemic response systems. SA exerted an antagonistic effect on the MeJA-induced root GSs irrespective of the site of elicitation. However, SA showed synergistic and antagonistic effects on the MeJA-induced leaf GSs when roots and leaves are elicitated for 3 d, respectively.

This paper mainly describes the research progress of Cooperative Vehicle Infrastructure System (CVIS) communication technology in freeway. The application status of short-range real-time communication technology and intermediate-range interactive communication technology in different scenarios of freeway CVIS are discussed respectively. This paper summarizes the existing problems in the research of CVIS communication technology from two aspects of technology application and network security. The research shows that in the future, machine learning, deep learning and other methods can be used to automatically detect network intrusion and deal with unknown attacks; In the future, the CVIS communication technology will adopt channel coding technology and encryption technology to improve the security of wireless network; With the development of 5G technology, the Internet of Vehicles(IOV) will usher in new opportunities. In the future, the freeway communication network will be a heterogeneous wireless network with multiple access networks, which can meet the application requirements in different road traffic scenarios, effectively promote the construction of freeway informatization and accelerate the construction process of smart freeway.

No abstract

No abstract