16s Ribosomal Gene
16s Ribosomal Gene - Related Videos
10:24
Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
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Cited by 119 •
2014
Characterizing microbial community has been a longstanding goal in environmental microbiology. Next-generation sequencing methods now allow for the characterization of microbial communities at an unprecedented depth with minimal cost and labor. We detail here our approach to sequence bacterial 16S ribosomal RNA genes using a benchtop sequencer.
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.
11:37
Simultaneous DNA-RNA Extraction from Coastal Sediments and Quantification of 16S rRNA Genes and Transcripts by Real-time PCR
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Cited by 24 •
2016
A protocol to quantify bacterial 16S rRNA genes and transcripts from coastal sediments via real-time PCR is provided. The methodology includes the co-extraction of DNA and RNA; preparation of DNA-free RNA; and 16S rRNA gene and transcript quantification via RT-q-PCR, including standard curve construction.
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.
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...
FAQs
Conserved regions provide stable sites for primer binding, while variable regions contain sequence differences that help distinguish microbial organisms. This combination lets one assay target a broad range of bacteria and archaea without losing all taxonomic signal. In practice, researchers use the conserved sections to amplify the target and the variable sections to support identification and evolutionary comparisons.
After PCR and sequencing, the resulting sequence is compared with sequences in reference databases. Matching patterns provide evidence about the organism represented in the sample, while differences can help separate related organisms. The same comparisons also support evolutionary analysis by showing how sequence relationships among microbial groups can be organized and interpreted.
It can characterize microbial material through its genetic sequence rather than relying only on successful growth in culture. This is important for investigating organisms that conventional culture may not readily recover. In medicine, that capability extends bacterial identification and infectious-disease investigation, while complementing, rather than replacing, conventional diagnostic approaches.
The workflow begins by amplifying the target gene with PCR, then sequencing the amplified product. Researchers compare the resulting sequence with reference-database entries to assess microbial identity. This sequence-based workflow connects a laboratory sample to an interpretable molecular result and can be applied to both individual bacterial investigations and broader community characterization.
By examining 16S sequences present in a sample, researchers can investigate which microbial groups contribute to a community. This approach is useful when the scientific question concerns community composition rather than one isolate alone. In medicine, it supports microbiome research and contributes to investigations of microbial patterns associated with infectious disease.
In medicine, the gene is relevant not only to identifying organisms but also to placing them in a broader evolutionary context. Sequence relationships can support microbial phylogeny, while community-level analysis contributes to microbiome research. Together, these uses help researchers study both the identity of bacteria and the organization of microbial groups in clinically relevant samples.