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Microbial communities
genes to ecosystems.

We study which microorganisms are present in a community, how their populations change and how community structure relates to host or environmental conditions. The work combines metagenomics, comparative genomics, numerical ecology and method development.

From a mixed sample to ecological insight.

Microbiomes contain a vast number of organisms, genes and interactions. Rather than treating that complexity as noise, we build ways to resolve it: connecting reads to genomes, genomes to strains, and strains to the ecological processes that shape them.

We work across human, soil and environmental microbiomes, with a particular interest in how microbial variation can inform health, disease and a more precise understanding of ecosystem function.

Illustration of a microbial research workflow from samples through sequence analysis to interpretation
01

Finding the organisms and genetic potential that remain uncatalogued.

Much of microbial diversity remains invisible to standard reference collections. We use metagenome-assembled genomes, marker-gene references and high-resolution strain analysis to identify organisms in human and environmental samples, then place their genes and functions in biological context.

This work moves microbiome research beyond broad taxonomic labels towards the organisms and variants most relevant to a person, population or ecosystem, while recognising how sampling, extraction and reference choice shape what can be detected.

02

Watching genomes change on ecologically meaningful timescales.

Microbial populations are not fixed entities. They gain and lose genes, diversify within hosts and disperse among people, places and habitats. We investigate how these processes affect persistence, transmission and adaptation.

By combining strain-resolved metagenomics, comparative genomics, population genetics and phylogenetic analysis, we ask what a microbial species means in practice, and when variation within a species changes the conclusions we draw about health or ecology.

03

Making patterns in complex communities easier to see and test.

Communities are more than lists of species. Their structure reflects shared niches, environmental pressures, host biology and interactions between organisms. We use numerical ecology, matrix factorisation and metabolic models to identify recurring patterns in the gut, soil and water.

These patterns make large datasets more interpretable without forcing every sample into a discrete type. They help us investigate community-level variation associated with diet, inflammation, ageing and broader environmental change.

Lab blogs and news

Public-facing explainers and practical guidance by Falk Hildebrand and colleagues, including pieces originally published in The Conversation.

Research commentary

Companion articles, comments and external discussion that help place lab publications in a wider scientific conversation.

Cell Host & Microbe · 2023 · Companion commentary

Coarse graining the human gut microbiome

Christian Diener and Sean M. Gibbons discuss the enterosignatures study and its approach to describing gut-microbiome variability through recurrent bacterial guilds.

Institutional reports

Official news and carefully chosen external reporting related to the group’s research.

Software developed through the research.

Our software is openly available so colleagues can inspect, adapt and build on the work.

Explore lab tools