I-Corps: A bioinformatic software platform for rapid microbe diagnoses in plants

I-Corps：用于植物快速微生物诊断的生物信息学软件平台

• 批准号: 2034054
• 负责人: Kitty Cardwell
• 金额: $ 5万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2034054&HistoricalAwards=false
• 关键词: Corps; bioinformatic; software; platform; rapid

The broader impact/commercial potential of this I-Corps project is the development of a plant disease diagnostic test that is faster to develop, quicker turn around to diagnostic results, and more reliable and sensitive than current diagnostic tools. Today’s diagnostic tests are limited and typically cannot determine which strain of flu you might have, or which cold virus, or whether what you have is a bacterially-caused sinus infection. In addition, the ability to quickly develop a diagnostic test and prove its accuracy is critical to emergency response to a new disease outbreak. Diagnostic technology also must overcome constraints in time to result while keeping costs low. The proposed technology may allow a health practitioner to test for multiple organisms in one test to quickly inform what actions are needed to help the patient. The proposed technology will be a test for known microbial causes of respiratory disease. all bacterial infections. It may be possible for a patient to be tested for the same cost as current technology tests for just one pathogen. The patient may then be appropriately and specifically treated for their respiratory illness. This I-Corps project is based on the development of computing software that allows rapid development of pathogen-specific probes and in-silico query of high throughput sequence (HTS) data from any kind of sample. The technology has the potential to be applied in many fields, including veterinary and human medicine, plant pathology, water quality, food safety, and environmental monitoring for biological threats. Current diagnostic technology requires 10-24 hours to a “yes” or “no” diagnosis per sample, per pathogen. The initial proof-of-concept has been conducted with 30 citrus pathogens of regulatory concern to the U.S. The proposed technology is capable of diagnosing presence or absence of multiple pathogens in a single sample in as little as 30 minutes to 3 hours from start to finish.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个i-Corps项目的更广泛的影响/商业潜力是开发一种植物病害诊断测试，它比目前的诊断工具开发得更快，诊断结果更快，更可靠和更灵敏。今天的诊断测试是有限的，通常不能确定你可能感染了哪种流感病毒，或者你感染的是不是由细菌引起的鼻窦感染。此外，快速开发诊断测试并证明其准确性的能力对于应对新疾病暴发的紧急反应至关重要。诊断技术还必须及时克服限制，在保持低成本的同时取得成果。这项拟议的技术可能允许卫生从业者在一次测试中检测多种微生物，以快速告知需要采取哪些行动来帮助患者。这项拟议的技术将对呼吸道疾病的已知微生物原因进行测试。都是细菌感染。一名患者接受测试的费用可能与目前只对一种病原体进行技术测试的费用相同。然后，患者可以针对他们的呼吸系统疾病进行适当和专门的治疗。这个I-Corps项目是基于计算软件的开发，该软件允许快速开发病原体特异性探针和从任何类型的样本中进行高通量序列(HTS)数据的电子查询。这项技术有潜力应用于许多领域，包括兽医和人类医学、植物病理学、水质、食品安全和生物威胁的环境监测。目前的诊断技术需要对每个病原体的每个样本进行10-24小时的“是”或“否”诊断。最初的概念验证已经对美国监管机构关注的30种柑橘病原体进行了。拟议的技术能够在从开始到结束的短短30分钟到3小时内诊断出单个样本中是否存在多种病原体。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。