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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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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Updated: Jun 24, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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phyloBARCODER: A Web Tool for Phylogenetic Classification of Eukaryote Metabarcodes Using Custom Reference Databases.

Jun Inoue1, Chuya Shinzato1, Junya Hirai1

  • 1Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan.

Molecular Biology and Evolution
|June 8, 2024
PubMed
Summary
This summary is machine-generated.

phyloBARCODER is a new web tool for species identification using DNA metabarcoding. It builds phylogenetic trees to accurately classify short DNA sequences, improving upon similarity-based methods.

Keywords:
assignmentclassificationgene treemetabarcodingphyloBARCODERphylogenetic analysisplacementspecies identificationspecies tree

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Metabarcoding enables species identification from environmental DNA.
  • Current similarity-based methods require exact sequence matches, limiting accuracy.
  • Phylogenetic context is crucial for robust DNA sequence identification.

Purpose of the Study:

  • To introduce phyloBARCODER, a novel web tool for species-level DNA sequence identification.
  • To enhance the accuracy of metabarcoding by incorporating phylogenetic analysis.
  • To provide clear explanations for sequence classification and species assignment.

Main Methods:

  • Development of the phyloBARCODER web tool.
  • Estimation of phylogenetic trees using uploaded DNA sequences and reference databases.
  • Utilizing a comprehensive database of eukaryotic mitochondrial gene sequences (Version 1).
  • Enabling user-uploaded custom databases for specialized identification (e.g., ITS, rbcL).

Main Results:

  • phyloBARCODER accurately identifies species and classifications of query DNA sequences.
  • The tool can associate anonymous sequences with specific species or populations within a phylogenetic framework.
  • Phylogenetic context improves identification accuracy compared to similarity-based approaches.

Conclusions:

  • phyloBARCODER offers a significant advancement in DNA metabarcoding for species identification.
  • The tool's phylogenetic approach provides more accurate and detailed sequence classification.
  • User-customizable databases enhance phyloBARCODER's versatility for diverse research needs.