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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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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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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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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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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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Related Experiment Video

Updated: Aug 1, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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CDEMI: Characterizing differences in microbial composition and function in microbiome data.

Lidan Wang1,2, Xiao Liang1, Hao Chen1

  • 1School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.

Computational and Structural Biotechnology Journal
|April 24, 2023
PubMed
Summary

A new online tool, CDEMI, helps researchers analyze microbial composition variations across diverse conditions. It aids in understanding how microbes impact host phenotypes by linking composition to function through comprehensive microbe libraries.

Keywords:
Functional characterizationMetabolic pathwayMicrobial associationMicrobial compositionMicrobiome

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Area of Science:

  • Microbiome research
  • Host-microbe interactions
  • Metagenomics

Background:

  • Microbial communities significantly impact host phenotypes via metabolites and interactions with exogenous active substances (EASs).
  • Analyzing microbial community dynamics and functions is complex, hindering the identification of microbe-host phenotype links.
  • Characterizing microbial composition variations across diverse conditions is crucial but lacks dedicated web-based tools.

Purpose of the Study:

  • To introduce CDEMI, an online tool for discovering microbial composition variations across different conditions.
  • To provide comprehensive functional characterization of microbes from multiple perspectives.
  • To facilitate the discovery of mechanistic links between microbes and host phenotypes.

Main Methods:

  • Development of the CDEMI web server.
  • Integration of five distinct microbe libraries: functional pathways, disease associations, EASs associations, bioactive metabolites, and human body habitats.
  • Analysis of microbial composition patterns across various conditions.

Main Results:

  • CDEMI enables the revelation of microbial patterns in distributions and compositions across different conditions.
  • The tool facilitates biological interpretations by leveraging diverse microbe libraries for functional annotation.
  • CDEMI addresses the unmet need for a web server to characterize microbial composition variations.

Conclusions:

  • CDEMI is a unique resource for exploring microbial community variations and their functional implications.
  • The tool supports a deeper understanding of microbe-host phenotype relationships.
  • CDEMI enhances microbiome research by integrating composition analysis with functional annotation.