Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
A population-level strain genotyping method to study pathogen strain dynamics in human infections
Sarah J. Morgan, … , Matthew C. Radey, Pradeep K. Singh
Sarah J. Morgan, … , Matthew C. Radey, Pradeep K. Singh
Published December 22, 2021
Citation Information: JCI Insight. 2021;6(24):e152472. https://doi.org/10.1172/jci.insight.152472.
View: Text | PDF
Resource and Technical Advance Infectious disease Microbiology

A population-level strain genotyping method to study pathogen strain dynamics in human infections

  • Text
  • PDF
Abstract

A hallmark of chronic bacterial infections is the long-term persistence of 1 or more pathogen species at the compromised site. Repeated detection of the same bacterial species can suggest that a single strain or lineage is continually present. However, infection with multiple strains of a given species, strain acquisition and loss, and changes in strain relative abundance can occur. Detecting strain-level changes and their effects on disease is challenging because most methods require labor-intensive isolate-by-isolate analyses, and thus, only a few cells from large infecting populations can be examined. Here, we present a population-level method for enumerating and measuring the relative abundance of strains called population multi-locus sequence typing (PopMLST). The method exploits PCR amplification of strain-identifying polymorphic loci, next-generation sequencing to measure allelic variants, and informatic methods to determine whether variants arise from sequencing errors or low-abundance strains. These features enable PopMLST to simultaneously interrogate hundreds of bacterial cells that are cultured en masse from patient samples or are present in DNA directly extracted from clinical specimens without ex vivo culture. This method could be used to detect epidemic or super-infecting strains, facilitate understanding of strain dynamics during chronic infections, and enable studies that link strain changes to clinical outcomes.

Authors

Sarah J. Morgan, Samantha L. Durfey, Sumedha Ravishankar, Peter Jorth, Wendy Ni, Duncan T. Skerrett, Moira L. Aitken, Edward F. McKone, Stephen J. Salipante, Matthew C. Radey, Pradeep K. Singh

×

Figure 6

PopMLST on clinical samples.

Options: View larger image (or click on image) Download as PowerPoint
PopMLST on clinical samples.
(A and B) PopMLST results from 3 of 7 patie...
(A and B) PopMLST results from 3 of 7 patients with CF in whom PopMLST detected 2 Sa strains (see Supplemental Figure 4 for the 4 of 7 patients in whom 1 strain was detected). (A) PopMLST results from DNA pooled from 90–95 cultured Sa isolates. Blue and red bars indicate different MLST loci alleles for each patient (Supplemental Table 3). Bars for each sample show relative abundance of arc, aro, glp, gmk, pta, tpi, and yqi. A third pta allele (black bar and indicated with *) differed at a single nucleotide from the allele indicated in red, likely representing sequencing error or mutation. (B) Relative abundance of arc locus as measured by PopMLST (Pop) and by individually Sanger sequencing (Sanger) 20–30 isolates from each sample from A. (C) PopMLST performed directly on DNA isolated from 3 sputum samples, A–C, and from mixtures of these samples. Red, blue, and yellow bars indicate the abundance of MLST alleles corresponding to samples A–C, respectively; green bars indicate an allele shared between samples A and C; and orange bars indicate an allele shared between samples B and C (see Supplemental Table 1). Control experiments examining more than 100 Pa isolates cultured from sputum samples A–C showed each contained a single Pa MLST type. (D) PopMLST of DNA pooled from more than 100 Sa cultured colonies (culture) and directly from sputum (sputum). Red and blue indicate different MLST types, which were confirmed by Sanger sequencing individual isolates (Supplemental Table 1). Subject 9’s sputum contained 3 loci with an additional allele, likely indicating a third MLST type (green) that was not detected in culture. Indicated significant differences were determined by the multiple t test of minor allele abundance. Black bar indicated with * indicates the presence of a third allele, likely due to mutation or sequencing error.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts