Microbiome testing has become increasingly popular, but not all gut tests are created equal. If you’ve ever wondered why results can look very different depending on the test used — or why one practitioner recommends one type over another — the answer lies in how the microbiome is analysed.
Broadly speaking, there are three main approaches to gut microbiome testing:
Each has strengths, limitations, and appropriate use cases. Understanding the differences can help you make sense of your results — and avoid frustration or confusion.

1. Culture-Based Stool Testing (The Traditional Method)
1. Culture-Based Stool Testing (The Traditional Method)
How it works
Culture-based tests attempt to grow bacteria from a stool sample in a laboratory. Specific media are used to encourage the growth of certain organisms, which are then identified.
What it can tell us:

Key limitations
Best used for
Culture tests reflect a small fraction of the gut ecosystem. They can be useful in targeted clinical situations, but they do not represent overall microbiome health.
2. 16S rRNA Sequencing (A Broad Overview)
How it works
16S testing looks for a specific genetic marker (the 16S ribosomal RNA gene) that is shared by bacteria. By analysing this gene, the test can identify bacteria present in the sample.
What it can tell us

Strengths
Limitations
Best used for
16S testing gives a helpful “big picture” of bacterial balance, but it lacks the depth needed for truly personalised or targeted interventions.

3. Shotgun Metagenomic Sequencing (The Most Comprehensive Option)
How it works
Shotgun sequencing analyses all genetic material in a stool sample — not just one marker gene. This allows identification of bacteria, viruses, fungi, yeasts, archaea, and sometimes parasites, as well as the genes they carry.
What it can tell us:
Limitations
Strengths
Best used for
Shotgun sequencing provides the deepest insight into both who is in the gut and what they’re doing. When interpreted correctly, it offers the most clinically useful information.
Why Test Choice Matters
Two people can have the same symptoms and receive very different results depending on the test used. This doesn’t mean one result is “wrong” — it means the lens is different.
Choosing the right test depends on symptoms, history, goals, and how much detail is needed to guide treatment.

Final Thoughts
Microbiome testing is a powerful tool — but only when the right test is chosen and the results are interpreted in context. More data isn’t always better, and less data isn’t always enough.
If you’re considering microbiome testing, working with a practitioner who understands the strengths and limitations of each method ensures the results lead to clarity, not confusion — and to a plan that actually supports your gut health long-term.
Microbiome Test Comparison: At a Glance
| Feature | Culture-Based Testing | 16S rRNA Sequencing | Shotgun Metagenomic Sequencing |
|---|---|---|---|
| What’s analysed | Bacteria grown in a lab | Bacterial 16S rRNA gene | All microbial DNA |
| Microbes detected | Limited bacteria, some yeasts | Bacteria only | Bacteria, viruses, fungi, yeasts, archaea (± parasites) |
| Anaerobic bacteria | Mostly missed | Detected | Fully detected |
| Level of identification | Species (for those that grow) | Mostly genus level | Species and sometimes strain level |
| Functional insight (what microbes do) | None | Minimal | Detailed (metabolic & inflammatory pathways) |
| Diversity analysis | No | Yes | Yes |
| Pathogen detection | Limited | Moderate | Broad and detailed |
| Antibiotic sensitivity testing | Yes (for cultured organisms) | No | No |
| Clinical depth | Low | Moderate | High |
| Typical cost | Low | Moderate | Higher |
| Best suited for | Acute infections, targeted pathogens | General gut health overview | Complex, chronic or unexplained gut issues |
| Main limitation | Misses most of the microbiome | Limited resolution and function | Requires expert interpretation |
Think of culture testing as a snapshot, 16S as a wide-angle lens, and shotgun sequencing as a high-resolution, full-ecosystem analysis.
