iTRAQ-Based Quantitative Proteomic Analysis of Chemically Induced Aquilaria sinensis Provides Insights into Agarwood Formation Mechanism.

Agarwood is a precious traditional Chinese medicine with a variety of pharmacological effects. Although efforts have been made in elucidating the mechanism of agarwood formation, little progress is obtained till now. Therefore, the molecular mechanism of agarwood formation needs to be further explored using different biological approaches. In this study, the quantitative proteomic analysis using iTRAQ technology combined with transcriptomic and metabolomic analyses on chemically induced Aquilaria sinensis is performed to elucidate the agarwood formation mechanism by formic acid stimulus. Data are available via ProteomeXchange with identifier PXD007586; 1884 proteins are detected, 504 differential proteins that show at least twofold differences in their expression levels are selected based on GO annotations, KEGG, STRING analysis, and quantitative RT-PCR analysis. The results indicate that sesquiterpene synthase, germin-like protein, pathogenesis-related protein, 6-phosphogluconate dehydrogenase, lipoyl synthase, and superoxide dismutase play important roles in the agarwood formation, suggesting that the proteins related to the plant defensive response, the removal of peroxide, the disease-resistance, the biosythesis of glycan, fatty acids, and sesquiterpene are crucial for agarwood formation.

Identification of trace element sources and associated risk assessment in vegetable soils of the urban-rural transitional area of Hangzhou, China.

In the urban-rural transitional area of Hangzhou, China, 74 topsoil samples were collected from vegetable fields to measure the contents of arsenic (As), copper (Cu), cobalt (Co), cadmium (Cd), chromium (Cr), mercury (Hg), manganese (Mn), nickel (Ni), lead (Pb) and zinc (Zn). The combination of multivariate statistical and geostatistical methods successfully separated the contaminating elements (As, Cd, Cu, Hg, Pb and Zn) from uncontaminated elements (Co, Cr, Ni and Mn). A significant correlation was found between these uncontaminated elements and total Al2O3, Fe2O3, and SiO2 of the soils, indicating that the source of these elements was mainly controlled by soil-forming factors. On the other hand, these contaminating elements showed relatively weaker correlation and higher spatial variability, indicating that their enrichment and spatial heterogeneity were mostly affected by anthropic inputs. Through the pollution evaluation, it was found that only 30.8% of the study area did not suffer from moderate or severe pollution.