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Updated: May 15, 2026

Depletion of Ribosomal RNA for Mosquito Gut Metagenomic RNA-seq

Depletion of Ribosomal RNA for Mosquito Gut Metagenomic RNA-seq

Published on: April 7, 2013

An efficient rRNA removal method for RNA sequencing in GC-rich bacteria.

Clelia Peano¹, Alessandro Pietrelli¹, Clarissa Consolandi¹

¹Institute of Biomedical Technologies, National Research Council, Segrate, Milan, Italy.

Microbial Informatics and Experimentation

|January 9, 2013

Summary

This summary is machine-generated.

Efficiently removing ribosomal RNA (rRNA) is crucial for bacterial RNA sequencing. Combining two commercial kits significantly enhances mRNA enrichment, improving transcriptomic analysis accuracy and reducing costs for GC-rich genomes.

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Assessment of DNA Contamination in RNA Samples Based on Ribosomal DNA

Assessment of DNA Contamination in RNA Samples Based on Ribosomal DNA

Published on: January 22, 2018

Area of Science:

Microbiology
Genomics
Molecular Biology

Background:

Next-generation sequencing (NGS) offers powerful gene expression analysis but requires protocol optimization for cost and accuracy.
High ribosomal RNA (rRNA) abundance in bacteria (95-98% of total RNA) impedes messenger RNA (mRNA) coverage in transcriptomic studies.
GC-rich genomes present additional challenges for efficient rRNA removal and subsequent RNA sequencing.

Purpose of the Study:

To evaluate commercial kits for ribosomal RNA (rRNA) removal in bacterial RNA sequencing.
To optimize mRNA enrichment protocols for bacteria with high GC content and complex genomes.
To assess the impact of rRNA removal on sequencing accuracy, sensitivity, and cost-effectiveness.

Main Methods:

Tested two commercial rRNA removal kits, individually and in combination, on Burkholderia thailandensis.
Sequenced enriched mRNA samples using paired-end Illumina GAIIx technology.
Analyzed mRNA enrichment factors, transcript coverage, and potential biases in relative mRNA abundance.

Main Results:

Combined rRNA removal kits achieved over 238-fold mRNA enrichment.
More than 90% of B. thailandensis transcripts were sequenced using less than 10 million reads.
The combined method preserved mRNA relative abundance, avoiding bias in differential expression profiles.

Conclusions:

The combined rRNA removal protocol significantly increases mRNA detection sensitivity (up to 770%) compared to total RNA.
This enhanced sensitivity allows for reduced sequencing read requirements for comprehensive transcriptome analysis.
The MICROBExpress/Ovation combined method is suitable for whole transcriptome RNA sequencing of microorganisms with high GC content and complex genomes, reducing overall sequencing costs.