Metagenomic or metabarcoding data are often used to predict microbial interactions in
complex communities, but these predictions are rarely explored experimentally. Here, we …

Microbiomes, the complex networks of micro-organisms and the molecules through which
they interact, play a crucial role in health and ecology. Over at least the past two decades …

The use of bacterial communities in bioproduction instead of monocultures has potential
advantages including increased productivity through division of labour, ability to utilise …

The success of fecal microbiota transplants (FMT) has provided the necessary proof-of-
concept for microbiome therapeutics. Yet, feces-based therapies have many associated …

The long-term success of introduced populations depends on their initial size and ability to
compete against existing residents, but it remains unclear how these factors collectively …

Artificial selection is a promising way to improve microbial community functions, but previous
experiments have only shown moderate success. Here, we experimentally evaluate a new …

Pairwise interactions are often used to predict features of complex microbial communities
due to the challenge of measuring multi-species interactions in high dimensional contexts …

Predicting species coexistence can be difficult often because underlying assembly
processes are unknown and data are limited. However, accurate predictions are needed for …

Microbiomes perform critical functions across many environments on Earth1, 2, 3. However,
elucidating principles of their design is immensely challenging4, 5, 6, 7. Using a diverse …

Clostridioides difficile can transiently or persistently colonize the human gut, posing a risk
factor for infections. This colonization is influenced by complex molecular and ecological …