Go beyond relative abundance with absolute metagenomic sequencing powered by Nanopore/PacBio. N2Jenomics Lab Pvt. Ltd. delivers precise microbial quantification for research labs, CRO projects, and academic institutions.
Key Value:
The microbiome plays a vital role in advancing research across human health, drug discovery, agriculture, and environmental science. However, most microbiome studies continue to rely on relative metagenomic sequencing, which reports microbial composition as percentages rather than measuring the actual microbial load. Because relative abundance data are compositional, changes in one organism can artificially influence the apparent abundance of others, potentially masking true biological differences and limiting meaningful interpretation.
At N2Jenomics Lab Pvt. Ltd., our Absolute Metagenomic Sequencing Service addresses these challenges by integrating long-read metagenomic sequencing with advanced absolute quantification technologies. Using carefully validated internal standards and spike-in controls, we determine the true abundance of microbial taxa and functional genes within each sample. This enables accurate cross-sample comparisons, quantitative microbial risk assessment, and highly reliable microbiome profiling. Our service is ideally suited for academic researchers, biochemistry laboratories, biotechnology companies, and CRO projects seeking quantitative microbiome insights beyond conventional relative abundance analysis.
Traditional metagenomic sequencing reports microbial communities as relative abundances, where all detected organisms are expressed as percentages that collectively sum to 100%. As a result, an increase in one microorganism may falsely suggest a decrease in another, even when both populations are actually increasing. This compositional bias can lead to inaccurate correlations and misleading biological conclusions, particularly in studies involving drug–microbiome interactions, environmental microbiology, infectious diseases, and antibiotic resistance gene (ARG) surveillance.
Absolute Metagenomic Sequencing eliminates this limitation by directly measuring the true abundance of microbial taxa and functional genes within a sample. This quantitative approach provides a more accurate and biologically meaningful understanding of microbial communities while supporting robust comparisons across experiments and study cohorts.
By combining absolute abundance microbiome profiling with state-of-the-art long-read sequencing, N2Jenomics Lab Pvt. Ltd. delivers highly accurate, reproducible, and biologically relevant microbiome data—empowering researchers to move beyond relative estimates and gain truly quantitative insights into complex microbial communities.
| Feature | Relative Abundance | Absolute Abundance |
|---|---|---|
| Measure Type | Proportional (% of total) | Actual counts (cells, gene copies per volume or mass) |
| Dependency | Total community DNA, sequencing depth, compositional effects | Calibrated via spike-in, total microbial load, less impacted by compositional bias |
| Correlation Risk | High risk of spurious correlations; dominance effects distort interpretations | More direct and interpretable shifts; enables confident detection of real changes |
| Cross-sample / Cross-study Comparability | Poor, since total read counts or community composition vary widely | Better, because normalized to absolute units allows direct comparison across conditions and studies |
| Application Scenarios | Good for understanding community structure, diversity, proportions | Better for risk assessment, tracking pathogen load, ARG abundance, drug treatment effects |
| Platform | Key Strengths | Limitations | Best Use Cases |
|---|---|---|---|
| Nanopore | Ultra-long reads (tens of kb to >1 Mb), real-time data streaming; direct detection of base modifications; excellent for capturing complete genomes, plasmids, mobile elements; portable workflows. | Raw read accuracy lower than "HiFi" PacBio or high-coverage Illumina; more sequencing errors especially in homopolymer regions; may require higher depth or polishing. | When you need ultra-long reads for structural variation, ARG host tracking, rapid/field deployment, or when you want epigenetic modification profiling. |
| PacBio (HiFi / SMRT) | Combines long reads with high single-molecule accuracy (HiFi), strong for repeat regions, structural variant detection, and high-quality assemblies; lower error rates post-consensus. | Higher cost per base; longer turnaround and instrument cost; may need more input DNA of high quality; lower real-time streaming capability compared to Nanopore. | For projects needing reference-grade genomes, high base accuracy, complex regions, or validation/polishing of long read assemblies; methylation/epigenetics work. |
| Illumina / Second-Generation Sequencing | Very high per-base accuracy; excellent throughput; lower cost per Gb; well established pipelines; ideal for short fragment sequencing, large numbers of samples. | Short reads make assembly of repeats, plasmids, mobile elements, ARG host linkage difficult; no direct detection of base modifications; relative abundance only unless used with spike-in or microbial load calibration. | When needing high sample throughput, cost sensitivity, comparative studies; or for polishing assemblies from long-read data; for diversity estimation, SNP detection, gene quantification. |
N2Jenomics Lab Pvt. Ltd. provides an end-to-end absolute metagenomic sequencing workflow powered by long-read technology. Our streamlined process ensures accurate microbial quantification, high-quality assemblies, and actionable results for research clients.
Step 2. DNA Extraction & Spike-In Controls
• Human and animal microbiome research – absolute abundance microbiome profiling for gut, oral, and skin communities
• Drug–microbiome interaction studies – evaluate therapeutic effects and safety through absolute metagenomic sequencing
• Antibiotic resistance monitoring – ARG detection and host tracking in clinical and environmental samples
• Wastewater-based epidemiology (WBE) – rapid surveillance of pathogens and resistance genes in water systems
• Environmental microbiology – soil, marine, and extreme environment metagenomics for ecology and biodiversity studies
• Industrial microbiology and bioprocess monitoring – track microbial composition and functional genes in production systems
Choosing the right partner for absolute metagenomic sequencing is critical to obtaining reliable, actionable results. N2Jenomics Lab Pvt. Ltd. stands out with unique advantages that go beyond standard sequencing providers.
• Proven expertise in Long-read metagenomics
Over a decade of experience delivering high-quality Long-read sequencing services, from ultra-long reads to targeted and full-length transcriptome solutions.
• Absolute quantification capability
Unlike many competitors that report only relative abundance, we integrate spike-in standards and advanced calibration to provide true microbial load measurements.
• Comprehensive deliverables
From absolute abundance microbiome tables to genome assemblies, ARG host tracking, and base modification profiling, we provide a complete view of microbial communities.
• Cross-application support
Expertise across human health, drug–microbiome research, environmental monitoring, and industrial microbiology ensures tailored solutions for each client.
• End-to-end project management
From sample preparation to advanced bioinformatics and interpretation, we offer one-stop services that save clients time and resources.
• Trusted global CRO partner
Serving leading academic institutions, pharmaceutical companies, and biotech firms worldwide with consistent quality and professional support.
N2Jenomics Lab Pvt. Ltd. delivers not just sequencing data, but actionable microbiome insights—helping our clients move confidently from raw data to meaningful discovery.
| Sample Type | Recommended Quantity | Minimum Quantity | Concentration | Notes |
|---|---|---|---|---|
| Genomic DNA | ≥ 5 µg | — | ≥ 20 ng/µL | High molecular weight DNA, OD260/280 = 1.8–2.0 |
| Long-read Metagenomic DNA | ≥ 2 µg | — | ≥ 30 ng/µL | DNA should be RNase-free, no degradation/contamination |
| Environmental Samples | 6 g | 2 g | — | Soil, sludge, sediment accepted |
| Water Filter Membrane | 6 | 2 | — | 0.22 µm membranes recommended for microbial capture |
| Tissue | 2 g | 1 g | — | Fresh or frozen, quick-freeze in liquid nitrogen |
| Interstitial Fluid | 6–10 mL | 2 mL | — | Store frozen, ship on dry ice |
Absolute abundance measures the actual number of microbial cells, genes, or taxa in a sample (for example, per gram or per milliliter), providing a true representation of microbial load. In contrast, relative abundance expresses each organism as a percentage of the total microbial community, which can lead to misleading conclusions because an increase in one organism automatically causes the relative percentage of others to decrease, even if their actual abundance remains unchanged.
Yes. Long-read sequencing enables the assembly of high-quality metagenome-assembled genomes (MAGs) and plasmids, allowing species- and strain-level characterization. Because long reads span both antibiotic resistance genes and their surrounding genomic regions, they also facilitate accurate assignment of ARGs to their microbial hosts and help identify mobile genetic elements involved in gene transfer.
High-quality, high-molecular-weight DNA is recommended for optimal genome assembly and analytical accuracy. However, advances in long-read sequencing now allow successful analysis from relatively low DNA inputs (typically tens of nanograms), provided sufficient sequencing depth and appropriate spike-in calibration strategies are used.
Unlike conventional culture-based or relative abundance methods, Absolute Metagenomic Sequencing enables direct detection of culturable and unculturable microorganisms, identification of antibiotic resistance genes (ARGs), host attribution, and absolute microbial quantification. These capabilities support earlier risk detection, more comprehensive pathogen surveillance, and improved biological interpretation.
Yes. Samples containing high levels of host DNA can still be processed, although excessive host DNA may reduce the number of usable microbial reads. Host DNA depletion during sample preparation, combined with robust bioinformatics filtering and spike-in calibration, helps maximize microbial data quality while maintaining reliable absolute quantification.
Our comprehensive analysis package includes: