Metagenomics for pathogen detection in public health.
Metagenomics for pathogen detection in public health.
复制标题
作者：
Miller RR;Montoya V;Gardy JL;Patrick DM;Tang P
公共卫生传染病监测中的传统病原体检测方法依赖于已知与特定临床综合征相关的病原体的鉴定。新兴的宏基因组学领域有可能彻底改变公共卫生实验室的病原体检测，通过使用下一代DNA测序，允许同时检测临床样本中的所有微生物，而无需事先知道其身份。一个单一的宏基因组学分析有可能检测到罕见的和新的病原体，并揭示在传染性和慢性人类疾病的生态失调微生物组的作用。利用测序平台和生物信息学工具的进步，最近的研究表明，宏基因组学甚至可以确定病原体的全基因组序列，从而可以推断抗生素耐药性、毒力、进化和传播。我们正在进入一个新的时代，通过基于宏基因组学的方法而不是通过传统的实验室方法来识别更多的新型传染病。现在的动力是公共卫生实验室将宏基因组学技术整合到他们的诊断武器库中。
Traditional pathogen detection methods in public health infectious disease surveillance rely upon the identification of agents that are already known to be associated with a particular clinical syndrome. The emerging field of metagenomics has the potential to revolutionize pathogen detection in public health laboratories by allowing the simultaneous detection of all microorganisms in a clinical sample, without a priori knowledge of their identities, through the use of next-generation DNA sequencing. A single metagenomics analysis has the potential to detect rare and novel pathogens, and to uncover the role of dysbiotic microbiomes in infectious and chronic human disease. Making use of advances in sequencing platforms and bioinformatics tools, recent studies have shown that metagenomics can even determine the whole-genome sequences of pathogens, allowing inferences about antibiotic resistance, virulence, evolution and transmission to be made. We are entering an era in which more novel infectious diseases will be identified through metagenomics-based methods than through traditional laboratory methods. The impetus is now on public health laboratories to integrate metagenomics techniques into their diagnostic arsenals.
登录
查看更多内容
影响因子：
64.8
作者：
Bos, Kirsten I.;Schuenemann, Verena J.;Golding, G. Brian;Burbano, Hernan A.;Waglechner, Nicholas;Coombes, Brian K.;McPhee, Joseph B.;DeWitte, Sharon N.;Meyer, Matthias;Schmedes, Sarah;Wood, James;Earn, David J. D.;Herring, D. Ann;Bauer, Peter;Poinar, Hendrik N.;Krause, Johannes
通讯作者：
Krause, Johannes
人类感染新型禽源甲型流感 (H7N9) 病毒。
影响因子：
158.5
作者：
Gao, Rongbao;Cao, Bin;Shu, Yuelong
通讯作者：
Shu, Yuelong
DOI：
10.1073/pnas.0608255104
发表时间：
2007-01-02
影响因子：
11.1
作者：
Brodie, Eoin L.;DeSantis, Todd Z.;Andersen, Gary L.
通讯作者：
Andersen, Gary L.
影响因子：
4.3
作者：
Faust K;Sathirapongsasuti JF;Izard J;Segata N;Gevers D;Raes J;Huttenhower C
通讯作者：
Huttenhower C
影响因子：
7
作者：
Castellarin, Mauro;Warren, Rene L.;Holt, Robert A.
通讯作者：
Holt, Robert A.