16s Rrna Sequence Analysis
16s Rrna Sequence Analysis - Related Videos
10:57
16S rRNA Sequencing: A PCR-based Technique to Identify Bacterial Species
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2023
Source: Ewa Bukowska-Faniband1, Tilde Andersson1, Rolf Lood1 1 Department of Clinical Sciences Lund, Division of Infection Medicine, Biomedical Center, Lund University, 221 00 Lund, Sweden Planet Earth is a habitat for millions of bacterial species, each of which has specific characteristics. Identification of bacterial species is widely used in microbial ecology to determine biodiversity of environmental samples and medical microbiology to diagnose infected patients. Bacteria can be classified...
12:37
Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
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Cited by 42 •
2016
We describe an efficient, robust, and cost effective method for extracting nucleic acid from swabs for characterization of bacterial communities using 16S rRNA gene amplicon sequencing. The method allows for a common processing approach for multiple sample types and accommodates a number of downstream analytic processes.
06:34
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
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Cited by 29 •
2016
Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and molecular techniques (16S rRNA gene sequencing) permit the identification of rare bacterial pathogens in routine diagnostics. The goal of this protocol lies in the combination of both techniques which leads to more accurate and reliable data.
11:22
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Cited by 65 •
2019
Described here is a simplified standard operating procedure for microbiome profiling using 16S rRNA metagenomic sequencing and analysis using freely available tools. This protocol will help researchers who are new to the microbiome field as well as those requiring updates on methods to achieve bacterial profiling at a higher resolution.
07:21
Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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Cited by 36 •
2018
Here we present a next-generation sequencing protocol for 16S rRNA sequencing which enables identification and characterization of microbial communities within vectors. This method involves DNA extraction, amplification and barcoding of samples through PCR, sequencing on a flow-cell, and bioinformatics to match sequence data to phylogenetic information.
FAQs
Different 16S rRNA regions contain different amounts of sequence variation. A region with limited variation may support broad classification but fail to distinguish closely related microorganisms, whereas a more informative region can provide finer separation. Researchers therefore select regions according to the taxonomic resolution required, while recognizing that the chosen region influences how confidently relationships can be inferred.
Conserved portions provide stable sequence context, while variable portions contain differences that help separate taxa. Comparing both types allows researchers to assess taxonomic relationships rather than relying on a single sequence feature. This balance supports classification and phylogenetic interpretation, particularly when the desired level of identification has been established before analysis begins.
Closely related microorganisms may share highly similar 16S rRNA sequences, limiting the method’s ability to resolve them separately. Sequence quality, the selected amplified region, reference database coverage, and the resolution required all influence the result. When these factors provide insufficient discrimination, the analysis may support only a broader taxonomic assignment rather than a precise classification.
A typical workflow amplifies selected 16S rRNA regions from DNA, sequences the resulting products, and compares those sequences with reference database entries. Researchers then use similarities and differences across conserved and variable regions to infer taxonomic relationships. The quality of the sequence data and the coverage of the comparison database directly affect the reliability and specificity of the interpretation.
The method is useful for microbial community profiling, environmental surveys, clinical research, and phylogenetic studies. It can also support investigations of organisms that are difficult to culture, allowing researchers to examine microbial diversity without depending entirely on cultivation. These applications make the approach relevant when the composition or relationships of bacterial and archaeal communities are central research questions.
By examining sequence variation in the gene encoding the small-subunit ribosomal RNA molecule, researchers can compare bacterial and archaeal taxa within biological samples or across environments. The resulting comparisons help characterize community membership and investigate taxonomic relationships. In biology, this provides a shared molecular basis for studying organisms that may differ greatly in ecology or culturability.