Genetic and Computational Identification of a Conserved Bacterial Metabolic Module
2008

Understanding Bacterial Metabolism of myo-Inositol

Sample size: 16000 publication 10 minutes Evidence: high

Author Information

Author(s): Boutte Cara C., Srinivasan Balaji S., Flannick Jason A., Novak Antal F., Martens Andrew T., Batzoglou Serafim, Viollier Patrick H., Crosson Sean

Primary Institution: University of Chicago

Hypothesis

Can we identify and annotate a conserved metabolic module for myo-inositol metabolism in bacteria?

Conclusion

The study defined a metabolic module for myo-inositol metabolism in Caulobacter crescentus and demonstrated its conservation across related bacterial species.

Supporting Evidence

  • The study identified a novel myo-inositol regulator protein and a cis-acting regulatory motif.
  • Transposon disruption of the operon encoding the myo-inositol transporter abolished growth on myo-inositol.
  • The research combined experimental and computational methods to extend functional annotations across species.

Takeaway

Scientists studied how a type of bacteria uses a sugar called myo-inositol for energy and found important genes that help with this process.

Methodology

The study used genetic screens, DNA microarray analysis, and computational network predictions to identify and validate genes involved in myo-inositol metabolism.

Potential Biases

Potential bias in gene annotation due to reliance on computational predictions and sequence homology.

Limitations

The study primarily focused on a single bacterial species and may not fully represent myo-inositol metabolism in all bacteria.

Statistical Information

P-Value

p<0.0001

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1371/journal.pgen.1000310

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication