Absolute Abundance

Measuring absolute abundance, or the total microbial load, is vital for a thorough understanding of microbiome composition. While relative abundance highlights the distribution of different species within a sample, absolute abundance reveals the actual microbial count, offering a clearer perspective on community dynamics. 

Our Quantitative Microbiome Profiling (QMP) service provides accurate microbial quantification, enabling a deeper and more complete analysis of your microbiome data.

Absolute Abundance

Measuring absolute abundance, or the total microbial load, is vital for a thorough understanding of microbiome composition. While relative abundance highlights the distribution of different species within a sample, absolute abundance reveals the actual microbial count, offering a clearer perspective on community dynamics. Our Quantitative Microbiome Profiling (QMP) service provides accurate microbial quantification, enabling a deeper and more complete analysis of your microbiome data.

 

Quantitative Microbiome Profiling (QMP) Services

We offer Quantitative Microbiome Profiling (QMP) services to determine absolute microbial abundance in your samples. QMP enhances the value of your microbiome data by integrating quantitative measurements, providing a complete picture of microbial community structure.

Several methods are available for quantifying microbes in a sample:

  • Spike-In Controls: Addition of known quantities of an external microbial species absent from the sample to calculate both relative and absolute abundances.

  • Quantitative PCR (qPCR): Amplification and quantification of target DNA sequences.

  • Flow Cytometry (Cell Counting): Direct counting of microbial cells.

We specialize in the two most efficient methods — spike-in controls and qPCR.

Spike-In Controls

The spike-in method involves adding a known quantity of an external microbial species to your sample before DNA extraction. Since the spike-in species undergoes the same processing steps as the sample microbes, it accounts for any biases introduced during DNA extraction and sequencing. This method allows for precise calculation of both relative and absolute abundances.

Quantitative PCR (qPCR)

 

qPCR quantifies microbial DNA by amplifying specific DNA sequences. This method allows for calculation of both relative and absolute abundances without sacrificing sequencing reads. However, it can be affected by DNA extraction biases, as extraction efficiency may not be perfectly linear.

 

Integrating Absolute Abundance with Microbiome Sequencing

Our QMP services are fully compatible with both marker gene analysis (amplicon sequencing) and shotgun metagenomics. This flexibility ensures that you can integrate absolute abundance measurements into your preferred microbiome analysis workflow, enhancing the depth and reliability of your results.

  • Marker Gene Analysis (Amplicon Sequencing): Quantify specific microbial groups by targeting genes like 16S rRNA, ITS, or 18S rRNA.

  • Shotgun Metagenomics: Assess the entire microbial community by sequencing all genetic material present in the sample.

Key Benefits of Our QMP Services

  • Accurate Microbial Load Assessment: Gain precise measurements of total microbial abundance in your samples.

  • Enhanced Data Interpretation: Integrate absolute abundance data with relative abundance for a more complete microbiome analysis. 

 

 

  • Expert Guidance: Our experienced team provides personalized support to determine the best quantification method for your study.

  • Optimized Protocols: Benefit from validated protocols that minimize biases and maximize data quality.

Applications of Absolute Abundance Data

Absolute abundance data expands the utility of microbiome research across a range of applications:

  • Clinical Diagnostics & Therapeutics: Monitor microbial overgrowth, dysbiosis, and treatment efficacy with quantitative benchmarks, particularly in conditions like IBD, infections, and metabolic disorders.

  • Animal & Agricultural Health: Track microbial load in livestock or soil to optimize health, productivity, and sustainable practices.

  • Probiotic & Prebiotic Development: Quantify the actual impact of interventions on target microbial populations, supporting evidence-based product claims.

 

 

  • Environmental Microbiology: Measure microbial load in water, soil, or built environments to assess contamination, remediation success, or ecological health.

  • Longitudinal & Interventional Studies: Improve accuracy in time-series research by capturing true microbial changes, not just shifts in proportions.

  • Antibiotic Treatments: Quantify reductions in microbial load post-treatment to assess antibiotic impact and support antimicrobial stewardship.

  • Microbial Establishment & Re-establishment: Track the colonization of microbiota in early life (e.g. infants) or recovery phases (e.g. post-antibiotic), providing insight into microbiome resilience and succession.

 

References

Vandeputte, D., Kathagen, G., D’hoe, K. et al. Quantitative microbiome profiling links gut community variation to microbial load. Nature 551, 507–511 (2017). https://doi.org/10.1038/nature24460

Morton, J.T., Marotz, C., Washburne, A. et al. Establishing microbial composition measurement standards with reference frames. Nature Communications 10, 2719 (2019). https://doi.org/10.1038/s41467-019-10656-5