Identification and functional study of detoxification-related genes in response to tolfenpyrad stress in Glyphodes pyloalis Walker (Lepidoptera: Pyralidae).

Glyphodes pyloalis Walker (G. pyloalis) is a common destructive mulberry pest. Due to the long-term and frequent use of insecticides, it has developed tolerance to commonly used insecticides. Tolfenpyrad (TFP) is a novel pyrazole heterocyclic insecticide. In order to understand the TFP detoxification mechanism of G. pyloalis larvae, we first estimated the LC30 dose of TFP for 3rd instar G. pyloalis larvae. Next, we identified genes that were differentially expressed in 3rd instar G. pyloalis larvae treated with TFP compared to the control group by transcriptome sequencing. In total, 86,949,569 and 67,442,028 clean reads were obtained from TFP-treated and control G. pyloalis larvae, respectively. A total of 5588 differentially expressed genes (DEGs) were identified in TFP-treated and control G. pyloalis larvae, of which 3084 genes were upregulated and 2504 genes were downregulated. We analyzed the expression of 43 candidate detoxification enzyme genes associated with insecticide tolerance using qPCR. According to the spatiotemporal expression pattern of DEGs, we found that CYP6ABE1, CYP333A36 and GST-epsilon8 were highly expressed in the midgut, while CarEs14 was strongly expressed in haemolymph. Furthermore, we successfully knocked down these genes by RNA interference. After silencing CYP6ABE1 and CYP333A36, bioassay showed that the mortality rate of TFP-treated G. pyloalis larvae was significantly higher compared to the control group. This study provides a theoretical foundation for understanding the sensitivity of G. pyloalis to TFP and establish the basis for the effective and green management of this pest.

Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban areas. Early prevention strategies are needed to reduce the associated mortality and morbidity. We applied the combination of rules and different machine learning techniques to assess the risk of development of T2DM in an urban Chinese adult population. A retrospective analysis was performed on 8000 people with non-diabetes and 3845 people with T2DM in Nanjing. Multilayer Perceptron (MLP), AdaBoost (AD), Trees Random Forest (TRF), Support Vector Machine (SVM), and Gradient Tree Boosting (GTB) machine learning techniques with 10 cross validation methods were used with the proposed model for the prediction of the risk of development of T2DM. The performance of these models was evaluated with accuracy, precision, sensitivity, specificity, and area under receiver operating characteristic (ROC) curve (AUC). After comparison, the prediction accuracy of the different five machine models was 0.87, 0.86, 0.86, 0.86 and 0.86 respectively. The combination model using the same voting weight of each component was built on T2DM, which was performed better than individual models. The findings indicate that, combining machine learning models could provide an accurate assessment model for T2DM risk prediction.

Determination of Quality Changes in Peaches Wrapped in Active Paper and Stored at Ambient Temperature in Summer.

Peaches are known for their palatable flavor and abundant nutrients. However, peaches are perishable, and the existing preservation techniques for peaches are still immature. To further extend the shelf life and prevent nutrient loss of perishable peaches under ambient temperature in summer (approximately 25-32 °C), we conducted experiments wrapping peaches (Prunus persica cv 'Baihua') in single- and composite-treated vegetal fibrous papers that contained calcium carbonate, phytic acid, Na-alginate and vitamin C. The pathogenic fungi that primarily caused peach decay during storage belonged to the genera of Penicillium, Botrytis, Aspergillus, Alternaria, and Rhizopus. After analyzing quality attributes, including weight loss, firmness, soluble sugar content, respiration rate, relative electric conductivity, malonaldehyde content, peroxidase activity and the decay index, we proved that vitamin C within the preservative paper greatly contributes to peach preservation. Combined with phytic acid and Na-alginate, the composite vitamin C preservative papers played significant roles in delaying fruit senescence, and 0.4% (w/v) vitamin C preservative paper with 1% Na-alginate could maintain quality and extend shelf life with the best effect. This preservation technique significantly postponed the respiration peak by 2-3 days and is a significant contribution to contemporary commercial production.

Use of shorted coaxial transmission line for high-power microwave measurement.

In order to reduce the effective area of the receiving antenna to receive microwave power in the high electric field regions, a 1.76 GHz shorted coaxial transmission line (SCTL) is investigated numerically and experimentally in this paper. When the frequency is 1.76 GHz, the simulation results show that the general gain and the effective area of the SCTL are -10.21 dBi and 2.19 cm(2), respectively, and the power capacity of the SCTL is about 41 kW. So the maximum power flow density, which can be measured by the SCTL, is 18.7 kW/cm(2). With the frequency varying from 1.70 to 1.80 GHz, the general gain increases from -11.19 to -9.42 dBi linearly. The general gain of the SCTL is calibrated with the Agilent E8363B network analyzer in an anechoic chamber, and the calibrated results agree with the simulation. The high-power tests are performed on an improved magnetically insulated transmission line oscillator. Compared to the cutoff free-field probe, the maximum power flow density, which can be measured by the SCTL, is higher.

[The inhibitory effect of hyporesponsive peptide on human leukocyte antigen-DRbeta1 specific T cell activation].

OBJECTIVE: To evaluate the inhibitory effect of human leukocyte antigen (HLA)-DRbeta1 specific collagen II (CII) peptides with substitutions of TCR binding residues on T cell activation, and explore a new therapeutic strategy for T cell mediated autoimmune diseases by interfering with antigen recognition of T Cell receptor (TCR). METHODS: Non-TCR binding peptides were designed by computer modeling based on interaction of HLA DR1. The modified CII263-272. Intracellular transfer of the modified CII peptide and its binding to HLA DR1 were studied using confocal microscopy and fluorescence-activated cell sorter (FACS). The effects of altered peptides on T cell activation were evaluated using an antigen presenting system consisting of HLA-DR1 transgenic APC and CII specific T cells. RESULTS: Computer modeling showed the side chains of 263 (F), 266 (E) fit in the peptide binding groove, and form hydrogen bond with alpha1, beta1 chain of HLA-DR1. The side chains of TCR specific 267 (Q) and 270 (K) protruded out of the groove, which might be TCR recognizing residues. The modified CII peptides with intact HLA-DR1 binding residues were bound to intracellular HLA-DR1 and expressed on cell surface. The modified peptides with single residue substitution of 267-270 and consecutive substitution of 268-270 showed a hyporesponsive T cell activation. Altered peptides 270A, sub268-270 could significantly suppress the T cell activation induced by CII263-272. CONCLUSION: The altered peptides with substitution of TCR binding residues are hyporesponsive in T cell activation, and may competitively inhibit the T cell activation in T cell mediated autoimmune diseases.