The Revolutionizing Prospects Of Next Generation DNA Sequencing Of Microorganisms For Microbiological And AMR Identification And Characterization-The GMI Singapore Sequencing Statement

J. Schlundt
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Abstract

Revolutionizing Next of Microorganisms for Identification and Characterization-the GMI Sequencing Abstract A cascade of technological DNA sequencing advancements has decreased the cost of Whole Genome Sequencing (WGS) very fast. At the same time, the enormous potential of WGS in the surveillance of microorganisms and Antimicrobial Resistance (AMR) is increasingly realized. One Health Solutions-based on cross-sectoral typing and source attribution are increasingly spreading in relation to foodborne disease and AMR prevention. Collaboration for disease prevention between human, veterinary and food sectors is already instituted in some countries and has in some cases resulted in significant reduction in foodborne disease risk, as well as AMR risk. The success of One Health risk mitigation is to a large part based on the potential to link relevant microbiological data from different sectors (animal, food and human) as the basis for science-based decision support to reduce the risk of foodborne diseases and AMR. Such linkage is only possible if the methodologies used, or at least the outcome microbiological characterizations, are comparable. While this has been a major problem in the past, novel DNA sequencing methodologies are now providing promising new potential. The case is made for the potential to develop a global, equitable system of whole microbial genome databases to aggregate, share, mine and use microbiological genomic data, to address global food safety and public health challenges and most importantly to reduce foodborne and infectious disease burden.
下一代微生物DNA测序的革命性前景,用于微生物和抗菌素耐药性鉴定和表征- GMI新加坡测序声明
DNA测序技术的一系列进步迅速降低了全基因组测序(WGS)的成本。同时,WGS在微生物和抗菌素耐药性(AMR)监测方面的巨大潜力日益被人们认识到。基于跨部门分型和来源归因的“一个健康解决方案”在食源性疾病和抗微生物药物耐药性预防方面日益普及。一些国家已经在人类、兽医和食品部门之间开展了疾病预防合作,在某些情况下显著减少了食源性疾病风险以及抗微生物药物耐药性风险。减轻同一健康风险的成功在很大程度上是基于将来自不同部门(动物、食品和人类)的相关微生物数据联系起来的潜力,作为基于科学的决策支持的基础,以减少食源性疾病和抗生素耐药性的风险。这种联系只有在使用的方法或至少结果微生物特征具有可比性时才有可能。虽然这在过去是一个主要问题,但新的DNA测序方法现在提供了有希望的新潜力。该案例提出了开发一个全球公平的全微生物基因组数据库系统的潜力,以汇总、共享、挖掘和使用微生物基因组数据,以应对全球食品安全和公共卫生挑战,最重要的是减少食源性疾病和传染病负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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