Predictive model a step toward using bacteria as a renewable fuel source
Wednesday, September 18, 2013 - 06:30
in Biology & Nature
A new transcriptomics-based model accurately predicts how much isoprene the bacterium Bacillus subtilis will produce when stressed or nourished. This model marks a step toward understanding how changes in the bacteria's environment affect gene expression and, in turn, isoprene production. Isoprene is a volatile liquid currently derived from oil that is used for aviation fuel and industrial applications.