Neisseria genomics: current status and future perspectives

Details

• Alternative Title:
  Pathog Dis
• Personal Author:
  Harrison, Odile B. ; Schoen, Christoph ; Retchless, Adam C. ; Wang, Xin ; Jolley, Keith A. ; Bray, James E ; Maiden, Martin C. J.
• Description:
  High-throughput whole genome sequencing has unlocked a multitude of possibilities enabling members of the Neisseria genus to be examined with unprecedented detail, including the human pathogens Neisseria meningitidis and Neisseria gonorrhoeae. To maximise the potential benefit of this for public health, it is becoming increasingly important to ensure that this plethora of data are adequately stored, disseminated and made readily accessible. Investigations facilitating cross-species comparisons as well as the analysis of global datasets will allow differences among and within species and across geographic locations and different times to be identified, improving our understanding of the distinct phenotypes observed. Recent advances in high-throughput platforms that measure the transcriptome, proteome and/or epigenome are also becoming increasingly employed to explore the complexities of Neisseria biology. An integrated approach to the analysis of these is essential to fully understand the impact these may have in the Neisseria genus. This article reviews the current status of some of the tools available for next generation sequence analysis at the dawn of the 'post-genomic' era.
• Subjects:
  Anti-Bacterial Agents Databases, Genetic Datasets As Topic DNA, Bacterial Drug Resistance, Bacterial Genome, Bacterial Genomics Gonorrhea High-Throughput Nucleotide Sequencing Humans Meningitis, Meningococcal Minireview Neisseria Gonorrhoeae Neisseria Gonorrhoeae; Omics Analyses Neisseria Meningitidis Next-generation Sequencing Transcriptome Virulence Whole Genome Sequencing

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• Source:
  Pathog Dis. 2017; 75(6).
• Pubmed ID:
  28591853
• Pubmed Central ID:
  PMC5827584
• Document Type:
  Journal Article
• Volume:
  75
• Issue:
  6
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:2d1c252fb152848b81f3a85b242bab6344ab41e4324c7b03c56c661ec72f7e7a
• Download URL:
  https://stacks.cdc.gov/view/cdc/57161/cdc_57161_DS1.pdf
• File Type:
  [PDF - 1.15 MB ]