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Related Experiment Video

Updated: May 16, 2026

Detection and Genogrouping of Noroviruses from Children's Stools By Taqman One-step RT-PCR
15:16

Detection and Genogrouping of Noroviruses from Children's Stools By Taqman One-step RT-PCR

Published on: July 22, 2012

Enteroaggregative Escherichia coli quantification in children stool samples using quantitative PCR.

Ila Fernanda Nunes Lima1, Josiane da Silva Quetz, Richard Littleton Guerrant

  • 1Institute of Biomedicine for Brazilian Semi-Arid (IBISAB) & Clinical Research Unit, Federal University of Ceara, Fortaleza, Ceara, Brazil.

APMIS : Acta Pathologica, Microbiologica, Et Immunologica Scandinavica
|December 11, 2012
PubMed
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A new real-time PCR method accurately quantifies enteroaggregative Escherichia coli (EAEC) in stool. This sensitive and specific assay aids in understanding EAEC infections, particularly in children.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Infectious Diseases

Background:

  • Enteroaggregative Escherichia coli (EAEC) is a significant pathogen causing infectious diarrhea, especially in vulnerable populations like children in resource-limited settings.
  • Accurate quantification of EAEC in clinical samples is crucial for understanding its role in disease pathogenesis and for epidemiological studies.

Purpose of the Study:

  • To develop and validate a SYBR Green-based real-time polymerase chain reaction (qPCR) method for the quantitative detection of EAEC directly from human stool DNA.
  • To assess the specificity, sensitivity, repeatability, and DNA extraction efficiency of the developed qPCR assay.

Main Methods:

  • A SYBR Green-based qPCR assay was designed for EAEC detection.
  • Specificity was tested against various strains of EAEC, other E. coli types, and Shigella.

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Last Updated: May 16, 2026

Detection and Genogrouping of Noroviruses from Children's Stools By Taqman One-step RT-PCR
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Published on: July 22, 2012

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  • Sensitivity was determined by assessing the detection limit (CFU/reaction), and repeatability was evaluated. DNA extraction efficiency was assessed using spiked stool samples.
  • Main Results:

    • The qPCR assay demonstrated high specificity against tested bacterial strains.
    • The detection limit was found to be 67 CFU/reaction.
    • EAEC was quantified in naturally infected stool samples, ranging from 6.7 × 10^5 to 2 × 10^9 CFU/g of feces, with no significant loss of DNA during extraction.

    Conclusions:

    • The developed SYBR Green-based qPCR method is a simple, rapid, reproducible, sensitive, and specific tool for quantifying EAEC in human stool samples.
    • This assay facilitates accurate EAEC quantification, which is essential for future research into EAEC pathophysiology and the impact of EAEC infections.