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Updated: May 23, 2026

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

Published on: August 7, 2021

Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes.

Georgia Giannoukos¹, Dawn M Ciulla, Katherine Huang

¹Genome Sequencing and Analysis Program, The Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA. ggiannou@broadinstitute.org

|March 30, 2012

Summary

This summary is machine-generated.

We developed a novel transcriptome analysis process for bacterial communities, improving RNA sequencing by efficiently removing rRNA and preserving fragmented RNA. This method yields reproducible and enriched expression profiles from diverse samples.

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Area of Science:

Microbiology
Molecular Biology
Bioinformatics

Background:

Bacterial community transcriptome analysis is crucial for understanding microbial ecosystems.
Existing RNA sequencing methods face challenges with fragmented RNA and high ribosomal RNA (rRNA) abundance.
Efficient and accurate transcriptome profiling is needed for clinical and environmental microbiology.

Purpose of the Study:

To develop and validate a robust RNA sequencing (RNA-seq) workflow for bacterial communities.
To accommodate both intact and fragmented RNA starting materials.
To improve the efficiency of ribosomal RNA removal and enable strand-specific sequencing.

Main Methods:

Developed a combined rRNA removal and strand-specific RNA-seq protocol.
Tested the method on a mixture of three bacterial species.
Applied the workflow to RNA isolated from clinical stool samples.

Main Results:

Achieved highly reproducible expression profiles.
Enriched non-rRNA transcripts by up to 40-fold.
Demonstrated strong correlation with undepleted total RNA profiles.

Conclusions:

The developed method provides a reliable approach for bacterial community transcriptome analysis.
The workflow effectively handles diverse RNA qualities and sample types.
This technique enhances the accuracy and depth of microbial gene expression studies.