Literature DB >> 29876934

Applications of genomics to slow the spread of multidrug-resistant Neisseria gonorrhoeae.

Tatum D Mortimer1, Yonatan H Grad1,2.   

Abstract

Infections with Neisseria gonorrhoeae, a sexually transmitted pathogen that causes urethritis, cervicitis, and more severe complications, are increasing. Gonorrhea is typically treated with antibiotics; however, N. gonorrhoeae has rapidly acquired resistance to many antibiotic classes, and lineages with reduced susceptibility to the currently recommended therapies are emerging worldwide. In this review, we discuss the contributions of whole genome sequencing (WGS) to our understanding of resistant N. gonorrhoeae. Genomics has illuminated the evolutionary origins and population structure of N. gonorrhoeae and the magnitude of horizontal gene transfer within and between Neisseria species. WGS can be used to predict the susceptibility of N. gonorrhoeae based on known resistance determinants, track the spread of these determinants throughout the N. gonorrhoeae population, and identify novel loci contributing to resistance. WGS has also allowed more detailed epidemiological analysis of transmission of N. gonorrhoeae between individuals and populations than previously used typing methods. Ongoing N. gonorrhoeae genomics will complement other laboratory techniques to understand the biology and evolution of the pathogen, improve diagnostics and treatment in the clinic, and inform public health policies to limit the impact of antibiotic resistance.
© 2018 New York Academy of Sciences.

Entities:  

Keywords:  antibiotic resistance; epidemiology; gonorrhea; whole genome sequencing

Mesh:

Substances:

Year:  2018        PMID: 29876934      PMCID: PMC6281808          DOI: 10.1111/nyas.13871

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  161 in total

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9.  Genomic epidemiology and population structure of Neisseria gonorrhoeae in Norway, 2016-2017.

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