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Soft horns and a tinkling piano form the backbone of “Fifty Degrees North, Four Degrees West,” a jazz number with two interesting twists: it has no composer and no actual musicians. Unless you count bacteria and other tiny microbes, that is.
When faced with an avalanche of microbial data collected from samples taken from the western English Channel, Larsen recognized he needed a way to make sense of it all. “Thinking of interesting ways to highlight interactions within data is part of my daily job,” he said. “I am always trying to find new ways to visualize those relationships in ways so that someone can make relevant biological conclusions.”
Far and Wide: Microbial species of the Order Rickettsiales, such as the highly abundant, free-living planktonic species Pelagibacter ubique, are typically, highly abundant taxa in L4 Station data. Its relative abundance in the microbial community at L4 Station follows a distinctive seasonal pattern. In this composition, there are two chords per measure, generated from photosynthetically active radiation measurements and temperature. The melody of each measure is six notes that describe the relative abundance of the Order Rickettsiales. The first note of each measure is from the relative abundance at a time point. The next five notes of a measure follow one of the following patterns: a continuous rise in pitch, a continuous drop in pitch, a rise then drop in pitch, or a drop then rise in pitch. These patterns are matched to the relative abundance of Rickettsiales at the given time point, relative to the previous and subsequent time points. The pattern of notes in a measure is mapped to the relative abundance of Rickettsiales with fewer rests per measure indicating higher abundance. For time points at which Rickettsiales was the most abundant microbial taxa, the corresponding measure is highlighted with a cymbal crash.
“There are certain parameters like sunlight, temperature or the concentration of phosphorus in the water that give a kind of structure to the data and determine the microbial populations,” he said. “This structure provides us with an intuitive way to use music to describe a wide range of natural phenomena.”
A colleague of Larsen’s suggested that classical music could effectively represent the data, but Larsen wanted any patterns inherent in the information to emerge naturally and not to be imposed from without.
“For something as structured as classical music, there’s an insufficient amount of structure that you can infer without having to tweak the result to fit what you perceive it should sound like,” Larsen said. “We didn’t want to do that.”
While this is not the first attempt to “sonify” data, it is one of the more mellifluous examples of the genre. “We were astounded by just how musical it sounded,” Larsen said. “A large majority of attempts to converting linear data into sound succeed, but they really don’t obey the dictates of music – meter, tempo, harmony. To see these things in natural phenomena and to describe them was a wonderful surprise.”
According to Larsen, the musicality of the data is not limited to the organisms in the English Channel. In another set of analysis, he and his colleagues used a similar methodology to look at the relationship between a plant and a fungus.
“We expect to see the same intuitive patterns recurring in different environments,” he said. “Sometimes, it can sound a little avant-garde, but it’s not random because it reflects very real phenomena.”
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Contacts and sources:
Jared Sagoff
DOE/Argonne National Laboratory