ArticleMicrobiologyOpen2021
Measuring the absolute abundance of the microbiome by adding yeast containing 16S rRNA gene from a hyperthermophile.
Article in MicrobiologyOpen, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Comparison of ESKAPE Pathogen Levels in Wastewater and Receiving Water Bodies Using Agar-Based Enumeration and Real-Time PCR.Current microbiology · 2026Article
- Long journey of 16S rRNA-amplicon sequencing toward cell-based functional bacterial microbiota characterization.iMetaOmics · 2024Review
- Article
- Measuring the absolute abundance of the microbiome by adding yeast containing 16S rRNA gene from a hyperthermophile.MicrobiologyOpen · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput sequencing (HTS) of 16S rRNA gene amplicons provides compositional information regarding the microbial community, but not the absolute abundance of the bacteria. We aimed to develop a standardized method for quantifying the absolute abundance of bacteria in microbiome studies. To demonstrate the utility of our approach, we quantified the number of bacteria from the compositional data of the fecal and cecal microbiomes. The 16S rRNA gene of a hyperthermophile, Thermus aquaticus, was cloned into Pichia pastoris (yeast) genome, and an equivalent amount of the yeast was added to the stool and cecal samples of mice before DNA extraction. 16S rRNA gene library construction and HTS were performed after DNA extraction. The absolute abundances of bacteria were calculated using T. aquaticus reads. The average relative abundances of T. aquaticus in the five stool and five cecal samples were 0.95% and 0.33%, respectively, indicating that the number of bacteria in a cecum sample is 2.9 times higher than that in a stool sample. The method proposed for quantifying the absolute abundance of the bacterial population in this study is expected to overcome the limitation of showing only compositional data in most microbiome studies.
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Registered trials
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