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Updated: Jan 15, 2026

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
Published on: August 29, 2014
High-Throughput Absolute Quantification Sequencing Advances Characterisation of Microbial Community Ecology
Shengnan Li1, Xuting Ye1, Kaikun Luo1
1State Key Laboratory of Developmental Biology of Freshwater Fish, Engineering Research Center of Polyploid Fish Reproduction and Breeding of the State Education Ministry, College of Life Sciences, Hunan Normal University, Changsha, China.
Microbial ecology studies using relative abundance data can mask important population dynamics. Absolute quantification reveals true microbial community patterns, especially for rare taxa and co-occurrence networks, offering deeper ecological insights.
Area of Science:
- Microbial Ecology
- Environmental Microbiology
- Molecular Ecology
Background:
- High-throughput sequencing commonly yields relative microbial abundance data, with known discrepancies compared to absolute abundances.
- Previous studies have recognized but rarely explored the ecological implications of these abundance data discrepancies.
Purpose of the Study:
- To investigate microbial community dynamics, co-occurrence patterns, and assembly processes in Lake Dongting using both relative and absolute abundance data.
- To highlight the importance of absolute quantification for accurate microbial ecological interpretations.
Main Methods:
- Quantified microbial absolute abundances using spike-in based 16S absolute quantification sequencing.
- Analyzed microbial community dynamics and co-occurrence networks using both relative and absolute abundance data.
- Compared ecological assembly processes and environmental drivers between the two abundance measures.
Main Results:
- Absolute and relative abundances showed comparable community-level results but differed significantly at the population level.
- Relative abundance data masked individual taxa dynamics, especially for abundant taxa.
- Correlation-based co-occurrence networks from relative abundance underestimated rare taxa and were less stable than those from absolute abundance.
- Temperature was the primary driver of microbial community composition and assembly, irrespective of abundance data type.
- Relative abundance data suggested stronger environmental and deterministic effects on microbial assembly.
Conclusions:
- Absolute quantification is crucial for uncovering microbial ecological patterns obscured by relative abundance data.
- The study underscores the need to incorporate absolute abundance measurements for a comprehensive understanding of microbial communities.
- Findings emphasize the impact of abundance data choice on ecological interpretations, particularly concerning rare taxa and community interactions.
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