primerForge: a Python program for identifying primer pairs capable of distinguishing groups of genomes from each other

Details

• Alternative Title:
  J Open Source Softw
• Personal Author:
  Wirth, Joseph S. ; Katz, Lee S. ; Williams, Grant M. ; Chen, Jessica C.
• Description:
  In both molecular epidemiology and microbial ecology, it is useful to be able to categorize specific strains of microorganisms in either an ingroup or an outgroup in a given population, e.g. to distinguish a pathogenic strain of interest from its non-virulent relatives. An "ingroup" refers to a group of microbes that are the primary focus of study or interest. Conversely, an "outgroup" consists of microbes that are closely-related to, but have evolved separately from, the ingroup. While whole genome sequencing and downstream phylogenetic analyses can be employed to do this, these techniques are often slow and can be resource intensive. Additionally, the laboratory would have to sequence the whole genome to use these tools to determine whether or not a new sample is part of the ingroup or outgroup. Alternatively, polymerase chain reaction (PCR) can be used to amplify regions of genetic material that are specific to the strain(s) of interest. PCR is faster, less expensive, and more accessible than whole genome sequencing, so having a PCR-based approach can accelerate the detection of specific strain(s) of microbes and facilitate diagnoses and/or population studies.
• Source:
  J Open Source Softw. 9(101)
• Pubmed ID:
  39624182
• Pubmed Central ID:
  PMC11611387
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  9
• Issue:
  101
• Download URL:
  https://stacks.cdc.gov/view/cdc/174255/cdc_174255_DS1.pdf
• File Type:
  [PDF - 299.37 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:de4db7cd2652f3826ef5c2c4ec3d52a5146fc607231f94e6c538be3e66f7f5668fe750638f63207bc2b17403d9092b62c3606d8d5757ae896d50945e625cb70f