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Dr Amrita Vijay

Research Fellow, University of Nottingham

Discover the science behind a reliable and comprehensive microbiome test. Find out how 16S rRNA sequencing enables in-depth insights and why it’s trusted by researchers.


The Chuckling Goat microbiome test uses 16S rRNA sequencing, which stands out as the preferred method for investigating the gut microbiome. The 16S rRNA sequencing method is widely recognised for its accuracy and efficiency in microbial analysis. By focusing on the 16S rRNA gene, this technique offers in-depth insights into bacterial identification and classification.

16S rRNA empowering bacterial identification

Modern sequencing technologies, such as next-generation sequencing (NGS), have empowered the versatility of bacterial identification. These advancements enable swift and cost-effective processing of multiple samples simultaneously, allowing for the discernment of a broad spectrum of bacterial taxa.

The strength of 16S rRNA sequencing further stems from its reliance on extensive public databases such as SILVA, Greengenes and the Ribosomal Database Project (RDP), which enhance the method’s credibility. Leveraging these repositories allows scientists and researchers to compare and classify their sequences accurately, drawing upon the collective wisdom of the scientific community in the area of microbiome research.

This standardisation ensures consistent
and comparable results across
different studies and laboratories.

Standardised protocols enhance robustness

Moreover, the method’s robustness is reinforced by its well-established protocols and continually refined bioinformatics tools. This standardisation ensures consistent and comparable results across different studies and laboratories, which is a critical factor in advancing our comprehension of the gut microbiome and its crucial role in both health and disease.

At Cambridge Genomic Services, affiliated with the University of Cambridge, cutting-edge genomics and 16S rRNA sequencing technologies are complemented by comprehensive computational and bioinformatic support. This integrated approach streamlines data analysis and interpretation, further facilitating the exploration and understanding of gut microbial communities.

Precise and database-compatible

In essence, 16S rRNA sequencing emerges as the optimal choice for deciphering gut microbiome composition due to its affordability, precise gene targeting, compatibility with modern technologies, utilisation of extensive databases and adherence to standardised protocols. These attributes collectively render it a robust and reliable method for studying the diverse bacterial ecosystems within the gut.

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