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Related Concept Videos

RNA-seq03:21

RNA-seq

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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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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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Updated: Oct 21, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

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Variant abundance estimation for SARS-CoV-2 in wastewater using RNA-Seq quantification.

Jasmijn A Baaijens1, Alessandro Zulli2, Isabel M Ott3

  • 1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

Medrxiv : the Preprint Server for Health Sciences
|September 8, 2021
PubMed
Summary
This summary is machine-generated.

Wastewater sequencing effectively estimates SARS-CoV-2 variant prevalence, complementing clinical surveillance. This method tracks variant trends, especially when clinical data is limited.

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Area of Science:

  • Environmental microbiology
  • Virology
  • Computational biology

Background:

  • Monitoring SARS-CoV-2 variants is crucial for pandemic control.
  • Wastewater surveillance offers an efficient proxy for COVID-19 population rates.
  • Accurately predicting variant proportions in wastewater presents significant challenges.

Approach:

  • Sequencing SARS-CoV-2 RNA from wastewater samples.
  • Applying computational RNA-Seq quantification methods to estimate variant abundance.
  • Validating results by comparing wastewater data with clinical isolate sequences.

Key Points:

  • The study demonstrates wastewater sequencing can estimate variant abundances.
  • Temporal dynamics of SARS-CoV-2 variants in wastewater broadly align with clinical data.
  • The technique shows high sample variability and limited detection of low-frequency variants (<10%).

Conclusions:

  • Wastewater sequencing provides a viable method for monitoring SARS-CoV-2 variant trends.
  • This approach is particularly useful in settings lacking widespread clinical sequencing.
  • While less sensitive than clinical sequencing, wastewater surveillance offers valuable population-level insights.