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Published on: June 27, 2025
Absolute quantification of microbial taxon abundances.
Ruben Props1,2, Frederiek-Maarten Kerckhof1, Peter Rubbens3
1Center for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Gent, Belgium.
Microbiome surveys using 16S rRNA gene sequencing provide semi-quantitative data. Combining this with flow cytometry to measure absolute taxon abundances offers clearer insights into microbial community dynamics and avoids misinterpreting relative abundance shifts.
Area of Science:
- Microbiology
- Molecular Biology
- Ecology
Background:
- High-throughput amplicon sequencing (e.g., 16S rRNA gene) is standard for microbial community profiling.
- Microbiome surveys aim to link bacterial taxon shifts to environmental factors.
- Current sequencing methods yield semi-quantitative data, potentially misrepresenting actual taxon densities.
Purpose of the Study:
- To combine 16S rRNA gene sequencing with flow cytometry for absolute microbial taxon abundance quantification.
- To analyze longitudinal changes in absolute abundances for clearer microbial community profiling.
- To investigate the relationship between relative and absolute taxon abundance changes.
Main Methods:
- Utilized high-throughput 16S rRNA gene amplicon sequencing.
- Employed robust single-cell enumeration via flow cytometry.
- Conducted detailed longitudinal analysis of absolute taxon abundances.
Main Results:
- Absolute abundance profiling provided less ambiguous and directly comparable data across studies.
- Demonstrated that increased relative abundance (enrichment) does not always correlate with increased absolute abundance (outgrowth).
- Distinct abundance profiles were observed when analyzing absolute rather than relative abundances.
Conclusions:
- Absolute taxon abundance quantification is crucial for accurate microbiome survey interpretation.
- Relying solely on relative abundances can lead to misinterpretations of microbial community dynamics.
- Integrating absolute and relative abundance data provides a more comprehensive understanding of microbial ecology.
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