The researchers anticipate that this tool will enable development of a bacterial dictionary that translates the output signals. "Our ability to translate the metabolic output of microbes is becoming more important, as they outnumber other cells in our body by a 10 to one margin," Dorrestein explain. "We want to begin to understand how those bacteria interact with our cells. This is a powerful tool that may ultimately aid in understanding these interactions."

In order to communicate, bacteria secrete molecules that tell other microbes, in effect, "I am irritated, stop growing," "I need more nutrients" or "come closer, I can supply you with nutrients." Other molecules are secreted that may turn off the body's defense mechanisms. The team is currently mapping hundreds of such bacterial interactions. Their hope is that this approach will also enable them to translate these bacterial-mediated mechanisms in the future.

Understanding the means by which microorganism cells talk to one another will facilitate therapeutic discovery, according to Dorrestein. For instance, knowing how microbes interact with human immune cells could lead to discovery of novel immune system modulators, and how these molecules control bacterial growth may lead to new anti-invectives. Both are active areas of investigation in his laboratory.

ucsd/

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