Qilu University of Technology 2 articles published in JoVE Biology Rearing Axenic Delia antiqua with Half-Fermented Sterile Diets Xin Cao1, Qingxia Liang1, Miaomiao Li1, Xiaoqing Wu1, Susu Fan1, Xinjian Zhang1, Fangyuan Zhou1, Zhiqing Zhao2 1Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), 2Agriculture and Rural Bureau of Changqing District A simple procedure for rearing axenic Delia antiqua with half-fermented sterile diets is described. Only one Wolbachia strain was detected in each instar of axenic D. antiqua using PCR. Environment A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans Shan Gao*1, Weiyang Chen*2, Nan Zhang1, Chi Xu3, Haiming Jing1,4, Wenjing Zhang1,4, Gaochao Han1,4, Matthew Flavel5, Markandeya Jois5, Yingxin Zeng1, Jing-Dong J. Han3, Bo Xian3, Guojun Li1,4 1Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control/Beijing Center of Preventive Medicine Research, China, 2College of Computer Science and Technology, Qilu University of Technology(Shandong Academy of Sciences), China, 3Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China, 4Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, China, 5School of Life Sciences, La Trobe University, Australia A quantitative method has been developed to identify and predict the acute toxicity of chemicals by automatically analyzing the phenotypic profiling of Caenorhabditis elegans. This protocol describes how to treat worms with chemicals in a 384-well plate, capture videos, and quantify toxicological related phenotypes.