Shenyang Agricultural University

4 ARTICLES PUBLISHED IN JoVE

Immunology and Infection

A Periprosthetic Joint Candida albicans Infection Model in Mouse

Chen Yang¹, Jiaxue Zhang¹, Fei Mo², Peipei Zhang¹, Qingqing Li¹, Jiye Zhang¹

¹School of Pharmacy, Health Science Center, Xi’an Jiaotong University, ²Key Laboratory of Livestock Infectious Diseases in Northeast China, Ministry of Education, College of Animal Science and Veterinary Medicine, Shenyang Agricultural University

Periprosthetic joint infection (PJI) caused by dangerous pathogens is common in clinical orthopedics. Existing animal models cannot accurately simulate the actual situation of PJI. Here, we established a Candida albicans biofilm-associated PJI mouse model to research and develop new therapeutics for PJI.

Immunology and Infection

Chen Yang¹, Fei Mo², Jiaxue Zhang¹, Peipei Zhang¹, Qingqing Li¹, Jiye Zhang¹

We establish a mouse model of C.albicans-associated catheter-related infection (CRI), in which biofilm forms on the catheter, and the interaction between C.albicans and host correlates well with the clinical CRI. This model helps screen therapies for C.albicans biofilm-associated CRI, laying a foundation for clinical transformation.

Biology

RNA Interference in the Egg Parasitoid, Trichogramma dendrolimi Matsumura

Long-xi Zhang¹, Qian-jin Dong¹, Shuai Yang¹, Wu-nan Che¹, Li-sheng Zhang², Jin-cheng Zhou^1,2, Hui Dong¹

¹College of Plant Protection, Shenyang Agricultural University, ²State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences

The manipulation of RNA interference (RNAi) presents a formidable challenge in many parasitoid species with diminutive size, such as Trichogramma wasps. This study delineated an efficient RNAi method in Trichogramma denrolimi. The present methodology provides a robust model for investigating gene regulation in Trichogramma wasps.

Environment

Separation and Identification of Conventional Microplastics from Farmland Soils

Siyang Ren^1,2, Martine Graf², Kai Wang¹, Jinrui Zhang^1,3, Hanyue Zhang⁴, Xiuting Liu^1,5, Jingjing Li¹, Tong Zhu¹, Kaige Ren¹, Yingming Sun⁶, Ruimin Qi⁷, Benjamin I. Collins², Li Xu⁸, Xiaoxu Jiang⁹, Jixiao Cui⁵, Fan Ding⁶, Changrong Yan^5,10, Xuejun Liu^1,3, Davey L. Jones², David R. Chadwick²

¹State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences; National Academy of Agriculture Green Development, Key Laboratory of Plant-Soil Interactions of Ministry of Education, National Observation and Research Station of Agriculture Green Development (Quzhou, Hebei), China Agricultural University, ²School of Environmental & Natural Sciences, Bangor University, ³College of Resources and Environmental Sciences, Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, China Agricultural University, ⁴Soil Physics and Land Management Group, Wageningen University & Research, ⁵Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, ⁶College of Land and Environment, Shenyang Agricultural University, ⁷School of Environmental Science and Engineering, Southern University of Science and Technology, ⁸Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture & Forestry Sciences, ⁹China National Environmental Monitoring Centre, ¹⁰Key Laboratory of Prevention and Control of Residual Pollution in Agricultural Film, Ministry of Agriculture and Rural Affairs

Presented here is a method for extracting microplastics from soil and identifying their polymer types. The method has been optimized for execution, applicability, and cost-effectiveness. It lays a scientific foundation for standardizing the analytical method to identify microplastics in soils.