Mycobacterium tuberculosis – Heterogeneity Revealed Through Whole Genome Sequencing

Details

• Alternative Title:
  Tuberculosis (Edinb)
• Personal Author:
  Ford, Chris ; Yusim, Karina ; Ioerger, Tom ; Feng, Shihai ; Chase, Michael ; Greene, Mary ; Korber, Bette ; Fortune, Sarah
• Description:
  The emergence of whole genome sequencing (WGS) technologies as primary research tools has allowed for the detection of genetic diversity in Mycobacterium tuberculosis (Mtb) with unprecedented resolution. WGS has been used to address a broad range of topics, including the dynamics of evolution, transmission and treatment. Here, we have analyzed 55 publically available genomes to reconstruct the phylogeny of Mtb, and we have addressed complications that arise during the analysis of publically available WGS data. Additionally, we have reviewed the application of WGS to the study of Mtb and discuss those areas still to be addressed, moving from global (phylogeography), to local (transmission chains and circulating strain diversity), to the single patient (clonal heterogeneity) and to the bacterium itself (evolutionary studies). Finally, we discuss the current WGS approaches, their strengths and limitations.
• Subjects:
  Article Bacterial Typing Techniques Databases, Nucleic Acid Evolution Genetic Variation Genome, Bacterial Heterogeneity Humans Mycobacterium Tuberculosis Phylogeny Polymorphism, Single Nucleotide Sequence Analysis, DNA Tuberculosis Whole Genome Sequencing

  More +
• Source:
  Tuberculosis (Edinb). 2011; 92(3):194-201
• Pubmed ID:
  22218163
• Pubmed Central ID:
  PMC3323677
• Document Type:
  Journal Article
• Funding:
  1DP20D001378/DP/NCCDPHP CDC HHSUnited States/ ; U19 AI076217/AI/NIAID NIH HHSUnited States/ ; DP2 OD001378/OD/NIH HHSUnited States/ ; DP2 OD001378-01S1/OD/NIH HHSUnited States/ ; DP2 OD001378-01/OD/NIH HHSUnited States/ ; U19 AI076217-04/AI/NIAID NIH HHSUnited States/
• Volume:
  92
• Issue:
  3
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:0898944c653c642b8f7610aee6a15f2f28907f0f70032253ca41b6452e945063
• Download URL:
  https://stacks.cdc.gov/view/cdc/33339/cdc_33339_DS1.pdf
• File Type:
  [PDF - 845.79 KB ]