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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
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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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...

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Updated: Jul 14, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Published on: December 7, 2021

A comparison of ARA and DNA data for microbial source tracking based on source-classification models developed using

Bertram Price1, Elichia Venso, Mark Frana

  • 1Price Associates, Inc., One N. Broadway Ste 406, White Plains, NY 10601, USA. bprice@priceassociatesinc.com

Water Research
|June 30, 2007
PubMed
Summary

DNA analysis offers more reliable microbial source tracking (MST) than antibiotic resistance analysis (ARA). However, for Total Maximum Daily Load (TMDL) programs, the higher cost of DNA analysis may not be justified by its improved accuracy.

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Area of Science:

  • Environmental microbiology
  • Water quality management
  • Molecular biology

Background:

  • Microbial Source Tracking (MST) is crucial for identifying bacterial contamination in surface waters.
  • DNA analysis and Antibiotic Resistance Analysis (ARA) are common MST methods.
  • Library-based MST using DNA data is often considered more reliable but costlier than ARA.

Purpose of the Study:

  • To evaluate if the enhanced reliability of DNA-based MST justifies its higher cost in Total Maximum Daily Load (TMDL) surface water management programs.
  • To compare the effectiveness and cost-efficiency of DNA-based MST versus ARA for bacterial source prediction.

Main Methods:

  • Application of classification trees for MST.
  • Analysis of both ARA and DNA data from fecal samples.
  • Data collection from the Potomac River Watershed in Maryland.

Main Results:

  • Preliminary findings suggest comparable performance between ARA and DNA data in this specific application.
  • The cost-benefit analysis indicates potential overspending on DNA data for current TMDL program needs.

Conclusions:

  • The increased reliability of DNA-based MST may not outweigh its additional expense for TMDL surface water management.
  • ARA might be a more cost-effective option for bacterial source tracking in similar management contexts.
  • Further research is needed to confirm these preliminary conclusions.