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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Three-Domain System of Life01:21

Three-Domain System of Life

Ribosomal RNA (rRNA) sequence analysis revealed three distinct groups of cells: eukaryotes, bacteria, and archaea. In 1978, Carl R. Woese proposed the concept of domains, a taxonomic level above kingdoms, to differentiate these groups. He suggested that archaea and bacteria, despite their similar appearance, represent separate domains. Domains differ in rRNA, membrane lipid structure, transfer RNA, and antibiotic sensitivity.In this classification, animals, plants, and fungi belong to the...
Microbial Phylogeny01:28

Microbial Phylogeny

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,...
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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Related Experiment Video

Updated: Jun 27, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Exploring microbial diversity and taxonomy using SSU rRNA hypervariable tag sequencing.

Susan M Huse1, Les Dethlefsen, Julie A Huber

  • 1Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America.

Plos Genetics
|November 22, 2008
PubMed
Summary
This summary is machine-generated.

Massively parallel pyrosequencing of small subunit ribosomal RNA (SSU rRNA) hypervariable regions offers deeper microbial community sampling than traditional methods. This cost-effective approach accurately assesses microbial composition and diversity, revealing more of the rare biosphere.

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Last Updated: Jun 27, 2026

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Published on: October 15, 2019

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
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Published on: August 29, 2014

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Traditional full-length small subunit ribosomal RNA (SSU rRNA) gene sequencing limits microbial community sampling depth.
  • Assessing microbial diversity and composition is crucial for understanding various ecosystems.

Purpose of the Study:

  • To evaluate the effectiveness of using hypervariable SSU rRNA gene regions for microbial community analysis.
  • To compare the taxonomic resolution and diversity metrics obtained from hypervariable tags versus full-length SSU rRNA sequences.

Main Methods:

  • Massively parallel pyrosequencing of V3 and V6 hypervariable regions of SSU rRNA genes.
  • Taxonomic assignment using the Global Alignment for Sequence Taxonomy (GAST) process against an extensive rRNA database.
  • Comparison of results with full-length SSU rRNA sequencing from human gut and deep-sea vent environments.

Main Results:

  • Hypervariable region tags provided equivalent microbial community taxonomy and relative abundance compared to full-length SSU rRNA sequences.
  • This method accurately classified sequences with up to 15% divergence from reference matches.
  • Massively parallel pyrosequencing significantly increased sampling depth, revealing more members of the rare biosphere.

Conclusions:

  • Sequencing hypervariable SSU rRNA regions via massively parallel pyrosequencing is a cost-effective and accurate method for microbial community analysis.
  • The technique enhances the discovery of rare microbial populations and minimizes biases associated with cloning.
  • This approach is suitable for large-scale projects like the Human Microbiome Project for studying microbial community dynamics.