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Metatranscriptomic Sequencing for Microbiome Functional Profiling

Capture real-time microbial activity with high-resolution RNA sequencing. Analyze active gene expression across bacteria, fungi, viruses, and archaea to reveal functional pathways in environmental, agricultural, and microbiome research.

Our end-to-end metatranscriptomic sequencing service delivers reliable, publication-ready data with expert bioinformatics support.

  • • Cross-kingdom microbial RNA expression profiling

  • • Efficient rRNA depletion and high-quality library preparation
  • • High-accuracy Illumina PE150 sequencing (Q30 ≥85%)
  • • Comprehensive bioinformatics analysis and expert support
Metatranscriptomic Sequencing for Microbiome Functional Profiling

What Is Metatranscriptomic Sequencing?

Metatranscriptomic sequencing analyzes RNA to reveal which microbial genes are actively expressed at the time of sampling. Unlike metagenomics, which identifies the genes present, this approach uncovers real-time microbial activity, gene regulation, and functional pathways across complex microbial communities.

It helps answer a critical question: What are the microbes doing right now?

 

How It Works

• Extract total RNA from the sample.

• Remove rRNA to enrich messenger RNA (mRNA).

• Convert mRNA into complementary DNA (cDNA).

• Prepare sequencing libraries and perform high-throughput sequencing.

• Analyze gene expression to identify active microbial functions and pathways.

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Why Choose Metatranscriptomic Sequencing?

Metatranscriptomic sequencing reveals active microbial functions, providing insights beyond DNA-based methods by showing which genes are being expressed in real time.

Key Benefits

  • • Real-time functional profiling of bacteria, fungi, viruses, and archaea

  • • Culture-independent analysis of entire microbial communities
  • • Dynamic expression studies across different conditions or time points
  • • Pathway and biomarker discovery using functional databases
  • • Multi-omics compatibility with metagenomics, transcriptomics, and metabolomics

 

Metatranscriptomics vs. Other Microbiome Methods

MethodDetectsFunctional ActivityBest For
16S/ITS SequencingMarker genesNoTaxonomic profiling
MetagenomicsMicrobial DNAPotential onlyCommunity composition & gene content
MetatranscriptomicsActive microbial RNAYesGene expression & functional analysis
Host TranscriptomicsHost RNAYesHost response studies

 

Workflow

• Project Planning – Define research goals and study design.

• Sample QC – Sample registration, RNA quality assessment, and optional RNA extraction.

• Library Preparation – rRNA depletion, library construction, and quality validation.

• Sequencing – Illumina, MGI, or PacBio platforms with customizable sequencing depth.

• Data Analysis – Expression profiling, functional annotation, and comprehensive reporting.

Sequencing Options

• Sample Types

  • - Stool, tissue, saliva, swabs, environmental samples, and purified RNA.

• Library Preparation

  • - High-efficiency (>90%) rRNA depletion
  • - Dual-indexed libraries
  • - Rigorous quality control

• Sequencing Platforms

  • - Illumina NovaSeq X – High-throughput expression profiling
  • - MGI DNBSEQ – Cost-effective transcriptome sequencing
  • - PacBio Sequel IIe – Long-read, isoform-level analysis

• Recommended Depth

  • - Standard: 5–10 Gb per sample
  • - Higher depth available for low-abundance transcripts

• Data Quality

  • - Q30 >80%
  • - Error rate <0.1%
  • - Reliable, publication-ready datasets

 

Bioinformatics Analysis

• Standard Analysis

  • - RNA sequence quality control
  • - Gene expression quantification
  • - Taxonomic profiling
  • - Functional annotation (UniRef, UniProt, KEGG, MetaCyc)
  • - Metabolic pathway reconstruction
  • - Diversity and abundance analysis

• Advanced Analysis

  • - Differential gene expression
  • - Antibiotic resistance and virulence gene analysis
  • - Pathway enrichment analysis
  • - PCA, heatmaps, volcano plots, LEfSe, and other publication-quality visualizations
  • - Statistical reports and normalized expression tables

 

 

Sample Requirements

To achieve high-quality sequencing results, samples should meet the recommended RNA quantity and quality standards. Our team also provides guidance for specialized or low-input samples.

Sample TypeMinimum Requirement
Total RNA≥4 µg (minimum 3 µg), ≥50 ng/µL
Cultured Cells≥5 × 10⁶ cells
Environmental Samples≥1.5 g

Need help preparing your samples? Contact our experts for personalized recommendations before submission.

 

Is Metatranscriptomic Sequencing Right for Your Research?

Metatranscriptomics measures active microbial gene expression, helping researchers understand how microbial communities respond to changing conditions and biological processes.

Ideal Applications

  • • Health and disease microbiome research
  • • Drug, diet, and environmental intervention studies
  • • Soil, water, and agricultural microbiome analysis
  • • Probiotic and microbiome therapeutic development
  • • Functional analysis of unculturable microorganisms

Common Research Questions

  • • How does microbial activity change after treatment?
  • • Which genes and pathways respond to environmental or dietary changes?
  • • Can active functions be detected in unculturable microbes?
  • • Which microbial genes support biomarker or probiotic discovery?

 

Multi-Omics Integration

Combine metatranscriptomics with complementary technologies for a more complete understanding of microbial biology.

Combined ApproachKey Benefit
Metagenomics + MetatranscriptomicsCompare genetic potential with active gene expression
Host Transcriptomics + MetatranscriptomicsExplore host–microbe interactions and immune responses
Metabolomics + MetatranscriptomicsConnect gene expression with metabolic activity
16S/ITS + MetatranscriptomicsScreen large sample sets before detailed functional analysis

Integrating multiple omics approaches provides deeper biological insights, enabling more comprehensive microbiome and systems biology research.

 

Why Choose N2Jenomics Lab Pvt. Ltd.?

  • • End-to-end metatranscriptomic sequencing solutions
  • • High-quality RNA library preparation with efficient rRNA depletion
  • • Flexible sequencing platforms and customizable depth
  • • Expert bioinformatics support and publication-ready reports
  • • Fast turnaround and dedicated technical assistance

Our metatranscriptomic sequencing services help researchers uncover microbial activity, identify functional pathways, and generate meaningful biological insights across environmental, agricultural, clinical, and microbiome studies.

1. What are the key requirements for RNA samples?

RNA samples should be collected using sterile, RNase-free materials to prevent contamination. Fresh samples should be immediately preserved (for example, using liquid nitrogen) or submitted following recommended storage conditions. We recommend high-quality RNA with sufficient quantity and concentration for successful sequencing.

 

2. How do you ensure sample and sequencing quality?

All RNA samples undergo quality assessment before sequencing, including RNA integrity testing. Library quality is evaluated for size and purity, followed by qPCR-based quantification before sequencing. Final sequencing data undergo strict quality filtering to ensure reliable, high-quality results.

 

3. What are the advantages of metatranscriptomic sequencing?

Metatranscriptomics provides a direct view of active RNA expression within microbial communities. It enables detection of microbial functions, RNA viruses, host–microbe interactions, and ecological changes without the need for culturing.

Key advantages include:

  • • Captures active microbial and viral transcripts

  • • Enables discovery of novel RNA viruses and functional genes
  • • Provides insights beyond DNA-based sequencing
  • • Supports analysis of microbial activity and community dynamics
  • • Requires minimal sample processing compared with traditional approaches

 

4. Are my samples suitable for metatranscriptomic sequencing?

Yes. We provide sample feasibility assessments based on your research goals and sample type. Our experts help determine the appropriate sequencing platform, depth, and analysis strategy before starting the project.

 

5. Can metatranscriptomics be combined with other omics approaches?

Yes. Metatranscriptomics can be integrated with metagenomics, metabolomics, and host transcriptomics to provide deeper insights into microbial functions, interactions, and biological pathways.

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