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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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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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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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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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Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
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Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A

Prince P Mathai1, Christopher Staley2, Michael J Sadowsky3

  • 1BioTechnology Institute, University of Minnesota, St. Paul, MN, USA.

Journal of Microbiological Methods
|September 6, 2020
PubMed
Summary
This summary is machine-generated.

Microbial Source Tracking (MST) methods have evolved to overcome limitations in identifying fecal contamination sources. Advanced DNA sequencing and machine learning, like SourceTracker, now improve water quality assessments.

Keywords:
Fecal contaminationHigh-throughput DNA sequencingMicrobial source trackingSourceTracker

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Area of Science:

  • Environmental microbiology
  • Molecular biology
  • Water quality assessment

Background:

  • Traditional fecal indicator bacteria methods are inadequate for accurate source attribution.
  • Environmental survival and growth of bacteria, plus pathogen-host correlations, necessitate advanced tracking.
  • Regulatory needs for total maximum daily loads (TMDLs) require precise source allocation.

Purpose of the Study:

  • To review the evolution and necessity of Microbial Source Tracking (MST) methods.
  • To highlight the shift from culture-dependent to culture-independent molecular analyses.
  • To discuss community-based MST approaches and their application in water quality management.

Main Methods:

  • Evolution from culture-dependent to culture-independent molecular techniques.
  • Development of DNA sequencing-based microbial community analyses.
  • Application of machine learning algorithms for host source allocation.

Main Results:

  • Community-based MST methods address limitations of traditional approaches.
  • DNA sequencing generates large datasets for sophisticated source tracking.
  • Bayesian algorithms, such as SourceTracker, are effective for source determination.

Conclusions:

  • Advanced MST tools are crucial for understanding and managing fecal contamination.
  • Community-based approaches and machine learning significantly enhance water quality monitoring.
  • SourceTracker provides a robust method for identifying sources of water contamination.