Without them there would be on oxygen, humans and animals could not digest, and the material cycles on Earth would come to a halt: Microorganisms. Microbial communities also carry out important functions is aquatic systems. These are often the result of interactions between organisms within the community. It is known, for example, that microorganisms exchange metabolic products or signal molecules: Some bacteria produce certain amino acids that other cannot produce.
These important substances which are important for growth are exchanged by diffusion. However, this can only take place up to a certain distance between the individual bacteria. The size of this interaction range has been unknown up to now. Researchers of Eawag and ETH Zurich have succeeded in being able to measure these interactions. They present how this is done in the
Nature Ecology & Evolution
journal.
Interaction only over very short distances
The researcher have developed an apparatus in which the cells of two bacteria strains are grown under controlled conditions and this growth is observed under the microscope. Measurements show that cells that are directly next to cells of the other bacteria strain grow faster. This is because certain amino acids that promote growth are only produced by one bacteria strain and these are then forwarded to the neighbouring cells by diffusion.
However, this interaction only functions over distances of few thousandths of a millimetre. Even at a distance of two cell lengths, this interaction almost completely breaks down. “A microbiome is thus not always capable of carrying out metabolic processes, since its activities are based almost exclusively on interactions between individual neighbouring bacterial cells”, Martin Ackermann, professor at ETH Zurich’s Institute of Biogeochemistry and Pollutant Dynamics, said.
In order to understand these interactions and their influence on the properties of the microbial communities more easily, the researchers have developed a mathematical model that predicts the growth rates on the basis of the amino acids present. Practically all microbial communities can be studied in this way: The researchers are now applying the method to include microorganisms that participate in the carbon cycle in aquatic habitats.
