N2Jenomics Lab Pvt. Ltd. offers Bacterial RNA Sequencing services for comprehensive transcriptome analysis of prokaryotic organisms. Our workflow enables accurate gene expression profiling, transcript discovery, operon analysis, and functional genomics using advanced sequencing technologies and bioinformatics.
Bacterial RNA sequencing (RNA-Seq) is a high-throughput approach for studying the complete bacterial transcriptome. It enables genome-wide analysis of gene expression, transcript structure, operons, and regulatory RNAs under different environmental or experimental conditions.
Unlike eukaryotic RNA sequencing, bacterial RNA-Seq relies on rRNA depletion instead of poly(A) enrichment because bacterial mRNAs typically lack poly(A) tails. Strand-specific library preparation further improves transcript annotation and identification of antisense transcripts.
Improves genome annotation by identifying coding regions, small peptides, and previously unannotated genes.
Detects regulatory elements such as small RNAs (sRNAs), riboswitches, and untranslated regions involved in gene regulation.
Characterizes operon organization and polycistronic transcripts to better understand bacterial gene regulation.
Measures genome-wide transcriptional changes across different growth conditions, treatments, and stress responses.
Supports studies of bacterial physiology, metabolism, host-pathogen interactions, antibiotic resistance, and microbial adaptation.
Bacterial RNA sequencing is widely used for:
Isolation of high-quality total RNA from bacterial samples.
Removal of ribosomal RNA to enrich messenger RNA and other functional transcripts.
Reverse transcription, cDNA synthesis, fragmentation, adapter ligation, and PCR amplification.
Sequencing performed using Illumina or PacBio platforms, depending on project requirements.
Comprehensive analysis including:

![]() | Sample Requirements
Note: Sample amounts are listed for reference only. For detailed information, please contact us with your customized requests. |
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| Sequencing Strategy
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![]() | Bioinformatics Analysis
Gene expression level analysis
Note: Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests. |

Ribosomal RNA (rRNA) accounts for the majority of total bacterial RNA, while mRNA represents only a small fraction. Removing rRNA enriches mRNA, improves sequencing efficiency, and enhances the accuracy of gene expression analysis.
A high-quality reference genome is strongly recommended. Since bacterial transcripts are often polycistronic, reference-based analysis provides more accurate transcript identification, gene annotation, and expression quantification.
Bacterial RNA sequencing measures the average gene expression of a bacterial population, whereas single-cell RNA sequencing profiles gene expression in individual cells, enabling the study of cellular heterogeneity and population diversity.


