Researchers at The University of Texas at Austin have created a more accurate mathematical model of how certain types of bacteria move to find food. The research, published in the Proceedings of the National Academy of Sciences, could help scientists better understand how bacteria cause infections and develop new ways to fight them.

Bacteria use a variety of strategies to find food, but one common method is called chemotaxis. Chemotaxis involves sensing the concentration of certain chemicals in the environment and then moving towards or away from those chemicals. This allows bacteria to find food sources and avoid harmful substances.

The mathematical model developed by the UT Austin researchers is based on the idea that bacteria use a two-step process to search for food. In the first step, bacteria move in a random direction. If they sense an increase in the concentration of a desired chemical, they move in the same direction. If they sense a decrease in the concentration of the desired chemical, they change direction.

In the second step, bacteria use a more directed search pattern. They move in a straight line until they sense a decrease in the concentration of the desired chemical. When this happens, they change direction and move towards the area with the highest concentration of the desired chemical.

The UT Austin researchers found that their model accurately describes the movement of bacteria in a variety of environments. This suggests that the model could be used to study how bacteria cause infections and develop new ways to fight them.

For example, the model could be used to study how bacteria move through the body and find ways to block their movement. This could lead to new treatments for bacterial infections.

The model could also be used to study how bacteria interact with each other and with other organisms. This could lead to a better understanding of how bacterial communities function and how they contribute to human health.