23s Rrna Mutation
23s Rrna Mutation - Related Videos
09:12
DNAzyme-dependent Analysis of rRNA 2’-O-Methylation
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2019
Here we present a protocol for DNAzyme-dependent cleavage of RNA. This enables fast and site-dependent analysis of RNA 2’-O-methylation. This approach can be used for the preliminary or major assessment of snoRNA activity.
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...
00:36
Viral Mutations
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2019
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material for adaptive...
09:50
Detection of Tissue-resident Bacteria in Bladder Biopsies by 16S rRNA Fluorescence In Situ Hybridization
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Cited by 15 •
2019
This protocol is for the unbiased detection of tissue-associated bacteria in patient biopsies by 16S rRNA in situ hybridization and confocal microscopy.
08:05
Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
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Cited by 28 •
2018
This manuscript describes a detailed standardized protocol of high-throughput 16S rRNA-amplicon sequencing. The protocol introduces an integrated, uniformed, feasible, and inexpensive protocol starting from fecal sample collection through data analyses. This protocol enables analysis of large numbers of samples with rigorous standards and several controls.
FAQs
The specific nucleotide change determines whether a 23S rRNA mutation disrupts an antibiotic-binding site or alters another part of the ribosome. That distinction matters because not every mutation produces the same resistance phenotype. Interpreting the altered site alongside the bacterial background helps explain why susceptibility can differ among strains carrying changes in the same ribosomal RNA gene.
A bacterial background can change how a given 23S rRNA mutation affects antibiotic response. The same genetic change may not produce identical results in every strain because the mutation operates within a particular ribosomal and cellular context. Considering that background prevents researchers from treating one observed resistance pattern as universally predictive for all bacteria.
When a 23S rRNA mutation reduces an antibiotic’s ability to bind its ribosomal target, the drug may interfere less effectively with translation. Protein synthesis can therefore continue during antimicrobial exposure, supporting bacterial survival under conditions that would inhibit susceptible cells. The resulting effect depends on the nucleotide change and the bacterial background.
Identifying these mutations can connect a bacterial strain’s genotype with its response to ribosome-targeting antibiotics. This information helps explain observed resistance, supports interpretation of susceptibility results, and contributes to tracking resistant strains. In infection research, the genetic finding therefore provides context for understanding how resistance emerges and persists across bacterial populations.
Mutation analysis adds a genetic explanation to susceptibility testing by showing whether a strain carries a change associated with altered antibiotic binding or response. Researchers can compare the mutation with the observed susceptibility pattern rather than relying on either result alone. This combined interpretation helps clarify resistance mechanisms and supports more informed treatment considerations.
Monitoring 23S rRNA mutations helps surveillance programs recognize and track resistant bacterial strains as emerging infections change over time. The findings can also inform treatment strategies by indicating that a ribosome-targeting antibiotic may be less effective when relevant mutations are present. Their value extends from individual resistance analysis to broader public health observation.