BIRNA

Research · Microbiome

Microbiota, microbiome and microbial ecology

Ecology · Organisation · Variation

Birna Ásbjörnsdóttir, PhDResearch synthesis / scientific explainer

Evidence classification: Experimental animal model · Editorial synthesis

The human intestine contains one of the most densely populated microbial ecosystems known.

Bacteria dominate much of the literature, but the intestinal ecosystem also includes archaea, fungi, viruses and bacteriophages, together with their genes, metabolites and interactions with one another and with the host.¹–³ These communities are not simply passengers within the gastrointestinal tract. They consume and transform substrates, compete and cooperate, occupy spatial niches, interact with the intestinal surface and participate in metabolic and immunological processes that shape the environment in which they live.²–⁵

This ecological perspective matters because the language used to describe the intestinal microbiome can easily make a dynamic system appear static.

We speak of the microbiome as though it were one entity. We compare relative abundances of organisms and describe communities as enriched or depleted. We use terms such as diversity, dysbiosis and healthy microbiome as shorthand for enormously complex ecological states.

These concepts can be useful.

But they can also conceal as much biology as they reveal.

Understanding the intestinal microbiome therefore begins with a more fundamental question:

What kind of biological system are we actually studying?

Microbiota and microbiome are related, but not identical

The terms microbiota and microbiome are often used interchangeably, including within the scientific literature.

They are not strictly synonymous.

Microbiota refers primarily to the assemblage of microorganisms present within a defined environment.

Microbiome is broader. Depending on the definition used, it can encompass the microorganisms, their collective genomes, their products and the ecological context in which they interact.¹

That distinction is more than terminological.

A description of which organisms are present does not necessarily tell us what those organisms are doing. Two communities can differ taxonomically while retaining overlapping metabolic capabilities. Conversely, communities that appear relatively similar at a broad taxonomic level may differ substantially in strain composition, gene content, transcriptional activity or metabolic output.³,⁶

This is one reason why the microbiome cannot be reduced to a list of bacterial names.

Taxonomy is one level of microbial biology.

Function is another.

The intestine contains ecosystems, not a single ecosystem

The gastrointestinal tract is often discussed as though it contained one homogeneous microbial community.

It does not.

Conditions change profoundly along its length.

The stomach, small intestine and colon differ in pH, oxygen availability, transit time, nutrient supply, host secretions, antimicrobial exposure and microbial density. Even within a single intestinal region, organisms occupying the lumen encounter a different environment from organisms associated with mucus or living close to the epithelial surface.²,⁴,⁷

The colon contains the greatest microbial density, but high abundance does not make the faecal microbiota a complete representation of microbial ecology throughout the intestine.

Faecal sampling has transformed human microbiome research because it is non-invasive and scalable. Yet a stool sample predominantly captures organisms and microbial products leaving the distal intestinal ecosystem. It does not provide a direct map of microbial communities at every mucosal surface or along the entire gastrointestinal tract.⁴,⁷

This becomes particularly important when microbial findings are interpreted in relation to intestinal-barrier biology.

The microbes most relevant to an epithelial interaction may not be those most abundant in faeces.

Where a microorganism is located can matter as much as whether it is present.

Spatial organisation is part of microbial ecology

The intestinal surface is organised to permit coexistence with an enormous microbial population while limiting inappropriate microbial contact with host tissue.

Mucus, antimicrobial molecules, secretory immunoglobulins, epithelial responses and immune surveillance contribute to spatial organisation at this interface.⁴,⁸

The relationship is not simply one of exclusion.

Host processes influence which microorganisms can occupy particular niches, while microbial activity helps shape the chemical and nutritional environment of those niches.

Oxygen provides a useful example.

Epithelial metabolism contributes to maintaining the steep oxygen gradient between host tissue and the largely anaerobic colonic lumen. Disruption of epithelial metabolism or inflammation can alter oxygen availability and thereby change the competitive landscape for intestinal microorganisms.⁹

The microbial community can therefore change because the environment has changed.

This is a fundamental ecological point.

An altered microbiota may contribute to disease biology.

But it may also be a consequence of altered host physiology.

Often, both processes occur together.

Composition is not function

Early microbiome research understandably focused heavily on identifying organisms and comparing their relative abundance between groups.

Those studies established an essential descriptive foundation.

But microbial function cannot reliably be inferred from taxonomic composition alone.³,⁶

Microorganisms can share functional pathways across taxonomic boundaries. Strains belonging to the same species may differ in important genes. Gene presence does not establish gene expression, and gene expression does not establish that a microbial product reaches the host at a biologically meaningful concentration.

The development of shotgun metagenomics, metatranscriptomics, metabolomics and other functional approaches has therefore changed what can be asked of microbiome data.³,⁶,¹⁰

Each method adds another layer.

Metagenomics can provide information about microbial genetic potential.

Metatranscriptomics can indicate which microbial genes are being expressed.

Metabolomics can detect chemical products present within a sample.

None alone describes the complete ecosystem.

This distinction matters whenever microbiome data are translated into biological claims.

A higher relative abundance of a taxon associated elsewhere with butyrate production does not demonstrate that more butyrate was produced in the individual being studied.

A gene capable of participating in a metabolic pathway does not establish pathway activity.

And detection of a metabolite does not by itself establish which organism produced it or what effect it had on the host.

The distance between composition and function should remain visible.

Diversity is informative, but not a synonym for health

Microbial diversity has become one of the most familiar concepts in microbiome research.

Within-sample diversity, often described as alpha diversity, captures aspects of richness and evenness within a microbial community. Beta diversity describes differences in community composition between samples or individuals.

These measures are useful ecological summaries.

They are not universal measures of health.¹¹,¹²

Reduced diversity has been associated with several disease states and with some forms of ecological disruption. Yet higher diversity is not intrinsically beneficial in every biological context, nor is there one diversity threshold that defines a healthy intestinal microbiome.

A community can be diverse and still contain functionally undesirable characteristics.

A less diverse community can be appropriate to a particular physiological state.

Early life provides an obvious example: the infant intestinal microbiota undergoes profound ecological development and does not need to resemble the diverse adult microbiota in order to be appropriate for that stage of life.¹³

The same caution applies when comparing populations.

Diet, geography, age, medication, lifestyle, environment and host biology all influence microbial ecology.¹⁴–¹⁶

Diversity is therefore a property of the ecosystem.

Its meaning depends on context.

There is no single taxonomic definition of a healthy microbiome

One of the enduring challenges in microbiome science has been defining what a “healthy microbiome” actually is.

Large human studies have demonstrated substantial interpersonal variation even among apparently healthy individuals.³,¹⁴,¹⁵ Different people can harbour markedly different microbial communities while remaining clinically well.

This makes a single universal taxonomic blueprint for health difficult to defend.

Some ecological and functional properties may nevertheless be important.

The ability to utilise dietary substrates, generate metabolites, resist invasion by pathogens, recover after disturbance and maintain appropriate relationships with host tissues may matter more than possession of one exact set of organisms.³,⁵,¹⁷

This shifts the question.

Instead of asking:

Which bacteria should every healthy person have?

we can ask:

What functions and ecological properties allow this microbial community to coexist productively with this host in this environment?

That is a more difficult question.

It is also biologically more meaningful.

Stability is not the same as immobility

A healthy ecosystem does not need to remain unchanged.

Diet can alter substrate availability within days. Antibiotics can create profound ecological disturbance. Infection, travel, medication and changes in physiology can reshape microbial communities. Some changes are transient; others persist.¹⁶–¹⁸

The concept of resilience is therefore useful.

Resilience describes the capacity of an ecosystem to absorb disturbance, reorganise and retain or recover important properties.¹⁷,¹⁸

This is different from stability understood as absence of change.

A microbial ecosystem may fluctuate while remaining functionally resilient.

Another may appear relatively stable until a perturbation reveals reduced capacity to recover.

This ecological framing parallels a broader principle in living systems: health is not necessarily the maintenance of a fixed state.

It can lie in the capacity to adapt without losing essential organisation.

Diet changes the ecological landscape

Diet is one of the most important environmental inputs into intestinal microbial ecology.

What escapes digestion and absorption in the upper gastrointestinal tract becomes substrate for microbial metabolism further downstream. Dietary fibres, resistant starches, proteins, fats and food-associated compounds can therefore alter the ecological opportunities available to different microorganisms.¹⁹,²⁰

The response is not determined by the food alone.

Baseline microbiota differs between individuals, as do host physiology, habitual diet and microbial metabolic capacity. The same dietary intervention can therefore produce different microbial responses in different people.²⁰,²¹

This is one reason why simple formulations such as eat food X to increase bacterium Y often overstate the predictability of the system.

Food changes the environment.

Microorganisms respond within that environment.

The result emerges from the interaction.

Medication and other exposures can be powerful ecological forces

Antibiotics are the most obvious pharmacological disruptors of the intestinal microbiota, but they are not the only medications that matter.

Large-scale analyses have shown associations between numerous commonly used non-antibiotic drugs and gut-microbiome composition or function.²²,²³

Proton-pump inhibitors, metformin and other medications can produce recognisable microbial signatures, although the mechanisms and clinical implications differ between drug classes.²²,²³

This matters especially in observational human research.

If medication use differs between a clinical group and controls, a microbial signature attributed to disease may partly reflect treatment.

Diet, medication, bowel transit, age and other environmental factors can therefore become part of the causal structure underlying an observed microbiome difference.

Microbiome research cannot be interpreted independently of the host’s wider context.

Inter-individual variation is biological information

Variation between individuals is sometimes treated primarily as a statistical obstacle.

But it is also one of the defining properties of the human microbiome.

Host genetics contributes to some microbial traits, but environmental and lifestyle factors explain substantial variation, and the relative contribution of each depends on the population and phenotype studied.¹⁴,²⁴

This has important implications for attempts to classify individuals as having a “normal” or “abnormal” microbiome.

A population average is not necessarily an ecological optimum for an individual.

Nor does deviation from the average necessarily represent dysbiosis.

Reference populations, geography, age, medication, diet and methodology all influence what appears normal.

The concept of normality must therefore be used cautiously.

Dysbiosis describes a pattern; it does not explain it

Few terms in microbiome research are used as broadly as dysbiosis.

At its most useful, the term describes a microbial community that differs from a reference state in a biologically relevant context.

At its least useful, it simply means the microbiome looked different in people with disease.

That is description, not mechanism.

A dysbiotic pattern may involve loss of particular functions, expansion of organisms favoured by inflammation, altered community structure, reduced ecological resilience or changes in microbial metabolism.⁵,⁹,¹⁷

But identifying such a pattern does not establish why it arose.

Nor does it establish that the microbial alteration caused the associated disease.

Inflammation can reshape microbial ecology.

Changes in intestinal transit can reshape microbial ecology.

Dietary restriction following illness can reshape microbial ecology.

Medication can reshape microbial ecology.

The disease itself may therefore create the microbial pattern later described as dysbiosis.

The direction of causality must be demonstrated rather than assumed.

Microbiome studies are measurements of samples, not ecosystems in their entirety

Every microbiome study contains another important boundary: sampling and analytical method.

A faecal sample is a sample.

DNA extraction introduces methodological choices.

Sequencing platform, primer selection, sequencing depth and bioinformatic pipeline can influence the organisms detected and their estimated abundance.²⁵

Relative-abundance data introduce additional statistical problems because microbial sequencing data are compositional: an apparent increase in one organism can occur because another organism decreased, even when the absolute abundance of the first did not change.²⁶

Batch effects and laboratory procedures can be large enough to obscure biological signals if they are not adequately controlled.²⁵

These are not reasons to distrust microbiome science.

They are reasons to interpret it as measurement science.

The microbial ecosystem exists independently of the dataset.

The dataset is one representation of it.

My own work: microbiota within a larger biological system

This distinction between microbial composition and biological meaning has been important in my own research.

In our study of bovine colostrum in wild-type and zonulin-transgenic mice, we examined intestinal microbiota together with behavioural outcomes in a model in which intestinal-barrier regulation differed genetically.²⁷

The value of the model was not simply that microbial communities could be compared.

It allowed microbial observations to be interpreted within a wider experimental context involving host genotype, barrier-related biology and behaviour.

But the same inferential boundaries apply.

An association between a microbial pattern and behaviour does not establish that the microbial change caused the behavioural outcome.

Likewise, a microbial difference between experimental groups does not by itself reveal the mechanism through which an intervention acted.

The microbiota forms part of the biological system being studied.

It should not automatically be made the explanation for the system.

From catalogue to ecology

Microbiome science has moved far beyond the original task of cataloguing which microorganisms inhabit the human intestine.

The more interesting questions now concern relationships.

Which organisms occupy which niches?

Which resources shape their competition and cooperation?

What functions are encoded and expressed?

Which metabolites are produced?

How does the host alter the microbial environment?

How do microbial activities influence epithelial, immune and metabolic physiology?

How does the ecosystem respond to disturbance?

And which changes are causes, consequences or compensations?

These questions require an ecological perspective.

The intestinal microbiota is not an organ in the conventional sense, nor is the microbiome a single variable that can be classified as simply healthy or unhealthy.

It is a dynamic community embedded within another living system.

Its composition matters.

Its function matters.

Its spatial organisation matters.

Its history matters.

And its relationship with the host matters.

The microbiome becomes biologically meaningful not when we know only who is there, but when we understand what they are doing, where they are doing it, and within which ecological and host context.

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Authorship & AI Transparency — This work is entirely my own. AI-assisted tools are used solely for language review and clarity. I disclose their use in the interest of transparency and research integrity and take full responsibility for the final published work.

Verified peer-reviewed records

Prophylactic Effect of Bovine Colostrum on Intestinal Microbiota and Behavior in Wild-Type and Zonulin Transgenic Mice

Biomedicines · 2023