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Related Concept Videos

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. 
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Size and Structure of Viral Genomes

Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
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Archaeal viruses play a crucial role in the ecosystems of extremophilic archaea, particularly those belonging to the phyla Euryarchaeota and Crenarchaeota. By shaping host evolution and facilitating gene transfer, these viruses influence microbial communities and contribute to genetic diversity in extreme environments. The archaea they infect thrive in acidic hot springs and hydrothermal vents characterized by high temperatures and low pH. Archaeal viruses exhibit remarkable structural...
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RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Pan-lyssavirus Real Time RT-PCR for Rabies Diagnosis
06:25

Pan-lyssavirus Real Time RT-PCR for Rabies Diagnosis

Published on: July 10, 2019

What can we learn about lyssavirus genomes using 454 sequencing?

Dirk Höper1, Stefan Finke, Conrad M Freuling

  • 1Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Greifswald - Insel Riems, Germany. dirk.hoeper@fli.bund.de

Berliner Und Munchener Tierarztliche Wochenschrift
|June 21, 2012
PubMed
Summary
This summary is machine-generated.

This study successfully generated high-quality whole genome sequences for lyssaviruses, enabling detailed analysis of viral populations and evolution. These findings support advancements in diagnostics and understanding of this public health threat.

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Area of Science:

  • Virology
  • Molecular Epidemiology
  • Genomics

Background:

  • Lyssaviruses pose a re-emerging public health threat.
  • Understanding lyssavirus diversity and evolution is crucial for control.
  • Current diagnostic methods may benefit from genomic insights.

Purpose of the Study:

  • To generate high-quality whole genome sequences of lyssaviruses.
  • To analyze viral population diversity, including quasi-species and defective interfering RNAs.
  • To provide a foundation for improved epidemiological analysis, evolutionary studies, and novel diagnostics.

Main Methods:

  • Whole genome sequencing of lyssaviruses.
  • In-depth bioinformatic analysis of viral sequences.
  • Comparative genomic and phylogenetic analyses.

Main Results:

  • High-quality, full-length lyssavirus genome sequences were successfully generated.
  • Efficient analysis of viral population diversity (quasi-species, defective interfering RNAs) is feasible.
  • Sequence data provides insights into lyssavirus evolution and epidemiology.

Conclusions:

  • The generation and analysis of complete lyssavirus genomes are achievable.
  • This approach facilitates a deeper understanding of lyssavirus diversity and evolution.
  • The data generated will be instrumental in developing new nucleic acid-based diagnostics and epidemiological tools.