Automatic and accurate identification of aerobic bacteria, anaerobic bacteria, yeasts, and fungi in clinical samples derived from animals and from feed for pets

项目摘要 该项目旨在建立在康涅狄格州兽医诊断实验室 (CVMDL)自动、快速、准确地识别 临床标本中的需氧细菌、厌氧细菌、酵母和真菌 动物和宠物的商业饲料。身份识别是之前需要的步骤 细菌和真菌分离株的耐药性评估。实验室 需要更换现在被认为过时的ID自动识别系统 好氧细菌(Ommnilog系统)具有新的系统，可提供更广泛的 功能和提高的精确度。 该项目的目标与美国FDA兽医实验室的调查和 反应网络(Vet-LIRN)努力追踪中国的抗菌素耐药性 从患病动物和饲料中分离出的细菌和真菌。 为了达到这个项目的目标，我们正在申请资金，以获得一个自动化的 像Gen III OmniLog ID Plus系统(美国加利福尼亚州海沃德Biolog Inc.)和 配套数据库包括YT(酵母)、FF(真菌)、AN(厌氧细菌)和 革兰氏阴性菌和阳性菌的基因III。这个Biolog高级表型 技术提供了关于菌株特性的有价值的信息，除了 物种级别的识别。在该系统中，专有的碳源利用 技术通过产生一种细菌来识别环境和病原体 从不同的测试反应中获得的特征模式或“代谢指纹” 在96孔的微孔板内。 购买第三代OmniLog ID Plus系统将提高能力 在CVMDL微生物实验室全面参与Vet-LIRN目标。这个 实验室最近获得了一种先进的自动化系统来识别细菌和 阅读抗生素敏感图版(BIOMIC V3，Giles Science)。两者的使用 系统将增强CVMDL的能力。

Project Summary This project aims to build at the Connecticut Veterinary Medical Diagnostic Laboratory (CVMDL) the capacity necessary to automatically, rapidly, and accurately identify aerobic bacteria, anaerobic bacteria, yeasts, and fungi in clinical samples derived from animals and in commercial feed for pets. Identification is a step needed before assessing the antimicrobial resistance of bacterial and fungal isolates. The laboratory needs to replace a now considered obsolete automatic identification system used for ID aerobic bacteria (Ommnilog system) with a new system that provides broader capabilities and improved accuracy. The project's goal aligns with the US FDA Veterinary Laboratory Investigation and Response Network (Vet-LIRN) efforts towards tracking antimicrobial resistance in bacteria and fungi isolated from sick animals and feed. To meet the goal of this project, we are requesting funds to acquire an automated system like GEN III OmniLog ID Plus System (Biolog Inc., Hayward, CA, USA) and companion databases including YT (yeast), FF (fungi), AN (anaerobic bacteria) and GEN III for Gram-negative and positive bacteria. This Biolog advanced phenotypic technology provides valuable information on the properties of strains, in addition to a species-level identification. In the system, a proprietary carbon source utilization technology identifies environmental and pathogenic microorganisms by producing a characteristic pattern or "metabolic fingerprint" from discrete test reactions performed within a 96 well microplate. The purchase of a GEN III OmniLog ID Plus System system will enhance the capacity at the CVMDL Microbiology Laboratory to be fully engaged with Vet-LIRN goals. The laboratory recently acquired an advanced automated system to identify bacteria and for reading antibiotic susceptibility plates (BIOMIC V3, Giles Scientific). The use of both systems will potentiate CVMDL’s capabilities.