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Related Concept Videos

Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
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...
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...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Genomics02:02

Genomics

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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: May 11, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Computational meta'omics for microbial community studies.

Nicola Segata1, Daniela Boernigen, Timothy L Tickle

  • 1Biostatistics Department, Harvard School of Public Health, Boston, MA, USA.

Molecular Systems Biology
|May 15, 2013
PubMed
Summary
This summary is machine-generated.

Technological advancements in sequencing and computational methods are revolutionizing microbiome research. These multi-omics approaches offer deeper insights into microbial communities and their host interactions.

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

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Related Experiment Videos

Last Updated: May 11, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
08:09

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

Published on: September 15, 2015

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

Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Microbial communities are crucial in ecosystems and human health.
  • Culture-independent sequencing has advanced microbial surveys.
  • Technological progress continues in sequencing and computational analysis.

Purpose of the Study:

  • To review current and emerging multi-omics technologies for microbiome analysis.
  • To highlight successes in biological discovery using these methods.
  • To identify outstanding challenges in the field.

Main Methods:

  • Review of technological and computational meta'omic approaches.
  • Analysis of sequencing platforms for genomic and transcriptional content.
  • Examination of computational techniques for microbiome data.

Main Results:

  • Multi-omics approaches enable comprehensive characterization of microbial communities.
  • Advancements facilitate understanding of host-microbe interactions.
  • Increasing availability of data and methods supports predictive modeling.

Conclusions:

  • The field of microbiome research is rapidly evolving with new technologies.
  • Multi-omics strategies are key to accurate microbial community characterization.
  • Future work should address remaining technological and analytical challenges.