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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
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Building up a clinical microbiota profiling: a quality framework proposal.

Valentin Scherz1, Gilbert Greub1, Claire Bertelli1

  • 1Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Critical Reviews in Microbiology
|November 9, 2021
PubMed
Summary
This summary is machine-generated.

Establishing quality management for human microbiota profiling is crucial for clinical utility. This review proposes a framework to standardize methods, ensuring reliable biomarkers for health and disease research and patient care.

Keywords:
Metagenomicsbiomarkersmicrobiomemicrobiota profilingquality management

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Clinical Diagnostics

Background:

  • Human microbiota composition is linked to health and disease, driving interest in microbiota profiling for biomarkers.
  • Technical challenges and inherent complexity hinder the generalization and clinical utility of current microbiota profiling methods.
  • A lack of standardized quality management schemes specific to microbiota profiling limits its reliability and reproducibility.

Purpose of the Study:

  • To review and adapt classical quality management tools for microbiota profiling.
  • To propose a specific quality management framework for microbiota profiling.
  • To enhance the clinical utility and research reproducibility of microbiota profiling.

Main Methods:

  • Discussion of adapting traditional quality management tools for diagnostic laboratories.
  • Proposal of a comprehensive quality management framework covering all profiling steps.
  • Adaptation of standard operating procedures for bioinformatic tools.

Main Results:

  • Identification of the need for multiple quality controls from sampling to data processing.
  • Highlighting the necessity to adapt validation and proficiency testing to account for process heterogeneity.
  • A proposed framework to guide the implementation of routine microbiota profiling.

Conclusions:

  • A robust quality management framework is essential for routine clinical microbiota profiling.
  • Implementing this framework will improve the reproducibility of research findings.
  • Standardization will facilitate the transfer of microbiota profiling methods and results from research to clinical practice.