ABSTRACT
The application of nano fertilizers is one of the hotspots in current agricultural production. In this study, nano silicon materials were mixed with compound fertilizers to make nano silicon fertilizer. The effects of different amounts of nano silicon application on the breaking-resistance strength, lodging-resistance index, lignin accumulation, lignin synthesis related enzymes, and the relative expression of lignin synthesis related genes in the second stem node of wheat were mainly studied. Four treatments were set up: CK (750 kg·ha-1 compound fertilizer), T1 (750 kg·ha-1 compound fertilizer + 0.9 kg·ha-1 nano silicon), T2 (750 kg·ha-1 compound fertilizer + 1.8 kg·ha-1 nano silicon), T3 (750 kg·ha-1 compound fertilizer + 2.7 kg·ha-1 nano silicon). The results of the two-year experiment showed that the breaking-resistance strength, lodging-resistance index, lignin accumulation in the second stem node of wheat treated with nano silicon fertilizer were higher than CK. In the first year of the experiment, the lignin accumulation of T2 was 130.73%, 5.14% and 7.25% higher than that of CK, T1 and T3 respectively at the maturity stage. In the second year of the experiment, the lignin accumulation of T2 was 20.33%, 11.19% and 9.89% higher than that of CK, T1 and T3 respectively at the maturity stage. And the activities of PAL, 4CL, CAD, and related gene expression levels were also higher than CK. And among them, T2 performed the best, indicating that the application of nano silicon fertilizer is beneficial for improving the lodging resistance of wheat stems and is of great significance for improving the quality of wheat.
Subject(s)
Fertilizers , Lignin , Lignin/metabolism , Triticum/metabolism , Silicon/pharmacology , Silicon/metabolism , Agriculture/methods , SoilABSTRACT
Fourteen current-use pesticides (CUPs) in the surface seawaters of the typical Liaoning sea areas were analyzed using HPLC-MS/MS. The concentrations, distribution, and ecological risks were studied, as well as their source appointments using principal component analysis (PCA). The results revealed that seven types of CUPs were detected in the surface seawaters of the typical Liaoning sea areas. The total concentrations of these CUPs ranged from 16.7 ng·L-1 to 176.1 ng·L-1. The samples with high concentrations were collected mostly from the estuary, and the concentrations of CUPs in the western Liaodong Bay were generally higher than those in the northeastern Yellow Sea. Atrazine and triadimenol were the predominant CUPs, and their contribution rates accounted for 56.0% and 34.5%, respectively. The PCA results indicated that six types of CUPs might be caused by the runoff from farmlands and the wastewater discharge from the chemical pesticide factory, and fruit planting could be a substantial contributor to the single component acetochlor. Atrazine and acetochlor posed medium-high ecological risks to the microalgae, while all the seven types of CUPs showed relatively lower risks to invertebrates and fish.
Subject(s)
Pesticides , Water Pollutants, Chemical , Animals , China , Environmental Monitoring , Pesticides/analysis , Seawater , Tandem Mass Spectrometry , Water Pollutants, Chemical/analysisABSTRACT
OBJECTIVE: The purpose of this study was to investigate the clinical significance of THY1 protein expression in epithelial ovarian cancer. METHODS: Immunohistochemistry (IHC) and terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling (TUNEL) staining were used to detect the protein expression of THY1, Ki67 and cell apoptosis in 76 epithelial ovarian cancers by tissue microarray. The correlation between THY1 expression and patients' clinical features was analyzed. RESULTS: Of the 76 epithelial ovarian cancer samples, 64 were informative for IHC and TUNEL assays and 42 (65.6%) among them showed down-regulated/loss expression of THY1 protein. A significant positive correlation of THY1 protein expression with clinical stage and distant metastasis was observed in this ovarian cancer cohort (P < 0.05). The more advanced the tumor stage, the more frequency of loss expression of THY1 protein. In addition, the mean positive rate of Ki67 staining in tumors with down-regulated/loss expression of THY1 was 33.7% +/- 3.5%, significantly higher than that in the tumors with normal expression of THY1 (17.3% +/- 6.1%, P = 0.0027). However, no significant correlation was observed between THY1 protein expression and tumor cell apoptosis as well as patients' survival in this series (P > 0.05). CONCLUSION: Down-regulated/loss expression of THY1 protein in epithelial ovarian cancer is significantly correlated with cancer cell proliferation and metastasis in the epithelial ovarian cancer, and it may be used as one of the new molecular biomarkers to predict the disease progression in patients.