Location: Wheat Health, Genetics, and Quality Research
Title: An integrated workflow for phenazine biosynthetic gene cluster discovery and characterizationAuthor
COATES, R. CAMERON - Joint Genome Institute | |
BOWEN, BENJAMIN - Joint Genome Institute | |
OBERORTNER, ERNST - Joint Genome Institute | |
Thomashow, Linda | |
HADJITHOMAS, MICHALIS - Joint Genome Institute | |
ZHAO, ZHIYING - Joint Genome Institute | |
KE, JING - Joint Genome Institute | |
SILVA, LESLIE - Joint Genome Institute | |
LOUIE, KATHERINE - Joint Genome Institute | |
WANG, GAOYAN - Joint Genome Institute | |
ROBINSON, DAVID - Joint Genome Institute | |
TARVER, ANGELA - Joint Genome Institute | |
HAMILTON, MATTHEW - Joint Genome Institute | |
LUBBE, ANDREA - Lawrence Berkeley National Laboratory | |
FELTCHER, MEGHAN - University Of North Carolina | |
DANGL, JEFF - University Of North Carolina | |
PATI, AMRITA - Joint Genome Institute | |
Weller, David | |
NORTHEN, TRENT - Joint Genome Institute | |
CHENG, JAN-FANG - Joint Genome Institute | |
MOUNCEY, NIGEL - Joint Genome Institute | |
DEUTSCH, SAM - Joint Genome Institute | |
YOSHIKUNI, YASUO - Joint Genome Institute |
Submitted to: Journal of Industrial Microbiology and Biotechnology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 4/9/2018 Publication Date: 7/20/2018 Citation: Coates, R., Bowen, B.P., Oberortner, E., Thomashow, L.S., Hadjithomas, M., Zhao, Z., Ke, J., Silva, L., Louie, K., Wang, G., Robinson, D., Tarver, A., Hamilton, M., Lubbe, A., Feltcher, M., Dangl, J., Pati, A., Weller, D.M., Northen, T.R., Cheng, J., Mouncey, N.J., Deutsch, S., Yoshikuni, Y. 2018. An integrated workflow for phenazine biosynthetic gene cluster discovery and characterization. Journal of Industrial Microbiology and Biotechnology. 45(7):567-577. https://doi.org/10.1007/s10295-018-2025-5. DOI: https://doi.org/10.1007/s10295-018-2025-5 Interpretive Summary: Hundreds of new DNA sequences for microorganisms and biosynthetic gene clusters (BGCs) continue to be discovered, increasing the potential to develop and employ novel chemical diversity for agriculture, medicine, environmental and industrial purposes. However, technical difficulties associated with expression of such genes in the laboratory can make it difficult to characterize their function. To overcome these problems, we have developed a workflow for BGC characterization that integrates pathway identification, modular design, DNA synthesis, assembly and characterization. We used this workflow to characterize multiple phenazine BGCs. These pathways are well-suited to the workflow because all phenazines are derived from a common core scaffold that is subsequently modified by such enzymes as PhzM, PhzS, PhzH, and PhzO that lead to the production of well-characterized compounds. We expressed refactored synthetic modules of previously uncharacterized phenazine BGCs in the model bacterium Escherichia coli and were able to identify metabolic intermediates the strains produced, including a previously unidentified metabolite. Our results show how this approach can accelerate functional characterization of BGCs. Technical Abstract: Increasing availability of new genomes and putative biosynthetic gene clusters (BGCs) has extended the opportunity to access novel chemical diversity for agriculture, medicine, environmental and industrial purposes. However, functional characterization of BGCs through heterologous expression is limited because expression may require complex regulatory mechanisms, specific folding or activation. We developed an integrated workflow for BGC characterization that integrates pathway identification, modular design, DNA synthesis, assembly and characterization. This workflow was applied to characterize multiple phenazine BGCs. Phenazine pathways are useful for this workflow because all phenazines are derived from a core scaffold for modification diverse modifying enzymes (PhzM, PhzS, PhzH, and PhzO) that produce characterized compounds. We expressed refactored synthetic modules of previously uncharacterized phenazine BGCs heterologously in Escherichia coli and were able to identify metabolic intermediates they produced, including a previously unidentified metabolite. These results demonstrate how this approach can accelerate functional characterization of BGCs. |