A short-type peptidoglycan recognition protein from Asian corn borer, Ostrinia furnacalis (Guenée) exhibits antibacterial activity, and regulates the expression of antimicrobial peptides

Qiao Peitong,Mei Xianghan,Li Ruixiang,Zhao Qiaoling,Xia Dingguo,Qiu Zhiyong,Shen Dongxu 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.4

Peptidoglycan recognition proteins (PGRPs) discriminate and bind peptidoglycans by acting as pattern recog nition receptors (PRRs) in insects, and function pivotal roles in innate immune response. In the present study, we cloned a full-length PGRP gene designed as OfPGRP8 from the Asian corn borer, Ostrinia furnacalis (Guenée). Its mRNA exhibited the highest abundance in fat body, and its expression level upregulated dramatically after bacterial challenges. Purified recombinant OfPGRP8 exhibited intensive binding capacity to peptidoglycans from Staphylococcus aureus and Micrococcus luteus. Additionally, recombinant OfPGRP8 could inhibit the growth of S. aureus, M. luteus. However, recombinant OfPGRP8 could not cause agglutination of S. aureus, M. luteus or Escherichia coli. Furthermore, we also demonstrated that OfPGRP8 may be involved in modulating the signaling pathway of antimicrobial peptides (AMPs) synthesis. In sum, our results provided evidence that OfPGRP8 dis criminates peptidoglycans from microbes and acts as a PRR to initiate downstream immune signaling pathways.

The Optimization Model and Algorithm of Remanufacturing Supply Chain Logistics Network with Option Contracts

Liang Yong,Qiao Peili,Luo Zhiyong,Wang Jian 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8

By the point of view of remanufacturing enterprise, the studies of supply chain logistics network optimization problem focused on network optimization and logistics distribution between manufacturing enterprise and customer area. The present business environment is full of uncertainties. To compete effectively in such an environment, remanufacturing enterprises need to develop the capability of responding flexibly to changing market conditions and optimize effectively logistics networks. The mechanism of option contracts has effectively coordinated the relationship of remanufacturing enterprise and retailer and hedged against the risks of over- and under-production. There is few papers considers the mechanism of option contracts although there are lots of studies on supply chain logistics networks optimization problem. Therefore, the mechanism of option contracts is led into the study of remanufacturing supply chain logistics networks optimization problem. Considering environmental pollution influence factors in the remanufacturing process, a multi-objective optimization model of supply chain is developed. Dual-layer genetic algorithm mechanism was brought up. The first layer is responsible for supply chain logistics network structure with genetic algorithm. The second layer answers for specific supply chain logistics distribution with adaptive immune genetic algorithm. Finally, numerical examples demonstrate the validity of the model and algorithm for the optimization problem.

Multi-objective Remanufacturing Supply Chain Optimization Problem with Dual Stochastic Programming

Liang Yong,Qiao Peili,Luo Zhiyong,Zhu Suxia 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.9

The successful implementation of remanufacturing supply chain not only needs foundation engineering technology, but also needs the efficient supply chain model to support logistics network. But till now, the optimization problems of supply chain logistics network focus on the determination for the number and location of facilities and logistics distribution between the various facilities. Except for the decisive factors, the optimization problem of remanufacturing supply chain logistics network considers the environmental pollution factors the waste product returns and transportation. The market demand and waste product returns are actually uncertain in remanufacturing supply chain. There is few papers focus on dual uncertain factors although there are lots of studies on the problems. Therefore, based on dual stochastic programming, the optimization model of multi-phase multi-objective remanufacturing supply chain is established with maximum profit in the remanufacturing supply chain, maximum rapid response customer satisfaction and minimum environmental pollution. Dual-layer genetic algorithm mechanism was brought up. The first layer algorithm is responsible for supply chain logistics network structure. The second layer algorithm determines specific distributions for remanufacturing supply chain, based on optimized logistics network structure mechanism in the first layer algorithm. Finally, numerical examples demonstrate the validity of the model and algorithm for the optimization problem.

Effects of Alkyl Chain Length of Aliphatic Dicarboxylic Ester on Degradation Properties of Aliphatic-Aromatic Water-Soluble Copolyesters for Warp Sizing

Manli Li,Enqi Jin,Zhiyong Qiao,Rongli Zhao 한국섬유공학회 2018 Fibers and polymers Vol.19 No.3

In order to study the effects of alkyl chain length of aliphatic dicarboxylic ester (ADE) monomers on enzymatic and hydrolytic degradation properties of aliphatic-aromatic water-soluble copolyesters for warp sizing, dimethyl terephthalate, dimethyl isophthalate-5-sulfonic sodium, and ADE monomers with various alkyl chain lengths were copolymerized through a two-step method, i.e. transesterification and polycondensation. The enzymatic and hydrolytic degradation properties of the copolyesters were studied in terms of reduction rates of molecular weight, glass transition temperatures, and surface morphology after being cultivated for 24-96 h. It was found that, enzymatic degradation of the copolyesters strongly depended on alkyl chain length of ADE monomers. After being enzymatically degraded for 96 h, reduction rate of molecular weight of the copolyester using dimethyl malonate as ADE monomers could reach 22.2 %. Meanwhile, the hydrolytic degradation of the copolyesters was not directly related to the alkyl chain length.

Effects of Molecular Structure of Carboxyl-Containing Vinyl Monomers on Sizing Properties of Feather Keratin Graft Copolymer

Manli Li,Enqi Jin,Zhiyong Qiao,Yuting Xiong 한국섬유공학회 2019 Fibers and polymers Vol.20 No.9

In order to study the effects of molecular structure of carboxyl-containing vinyl monomers on applicationperformance of feather keratin (FK) graft copolymer for warp sizing, three kinds of carboxyl acids, i.e. acrylic acid (AA),methacrylic acid (MAA), and itaconic acid (IA), were grafted onto molecular chains of FK through initiation of K2S2O8-NaHSO3 redox system. FK-g-PAA, FK-g-PMAA, and FK-g-PIA with similar grafting ratios around 31 % were prepared assizing agents. Major sizing properties of the three grafted keratins were studied in terms of water-solubility, apparentviscosity, contact angles of sizing paste on cotton fibers, mechanical properties of sizing film, and adhesion to fibers. It wasfound that sizing properties of the grafted FK strongly depended on molecular structure of the carboxyl-containing vinylmonomers. In view of overall performance of the grafted keratin sizes, the most appropriate carboxyl-containing vinylmonomer should be AA.

Correlation analysis of muscle amino acid deposition and gut microbiota profile of broilers reared at different ambient temperatures

Yang, Yuting,Gao, Huan,Li, Xing,Cao, Zhenhui,Li, Meiquan,Liu, Jianping,Qiao, Yingying,Ma, Li,Zhao, Zhiyong,Pan, Hongbin Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.1

Objective: Temperature could influence protein and amino acid deposition as well as gut microbiota profile and composition. However, the specific effects of ambient temperature on amino acids deposition and gut microbiota composition remain insufficiently understood. Methods: A total of 300 one-day-old Avian broilers were randomly divided into three groups and reared at high, medium, and low temperature (HT, MT, and LT), respectively. Breast muscle and fecal samples were collected for amino acid composition analysis and 16S rRNA gene sequence analysis. Results: Our data showed that compared to the MT group, there was a decrease of muscle leucine and tyrosine (p<0.05), as well as an increase of methionine in the HT group (p<0.05) and a decrease of serine in the LT group. Examination of microbiota shift revealed that at genus level, the relative abundance of Turicibacter and Parabacteroides was increased in the HT group (p<0.05) and that the relative abundances of Pandoraea, Achromobacter, Prevotella, Brevundimonas, and Stenotrophomonas in the LT group were higher than those in the MT group (p<0.05). In addition, there were substantial correlations between microbes and amino acids. In the HT group. Turicibacter was negatively correlated with aspartic acid and tyrosine, whereas Parabacteroides was positively correlated with methionine (p<0.05). In the LT group, there were multiple positive correlations between Achromobacter and arginine, isoleucine or tyrosine; between Prevotella and cysteine or phenylalanine; between Brevundimonas and cysteine; and between Stenotrophomonas and cysteine as well as a negative correlation between Stenotrophomonas and serine. Conclusion: Our findings demonstrated that amino acid content of breast muscle and intestinal microbiota profile was affected by different ambient temperatures. Under heat exposure, augmented abundance of Parabacteroides was correlated with elevated methionine. Low temperature treatment may affect muscle tyrosine content through the regulation of Achromobacter.