Award Abstract # 1716594
An evolutionary approach to enable reprogramming of non-ribosomal peptide enzymology

NSF Org: MCB
Division of Molecular and Cellular Biosciences
Recipient: UNIVERSITY OF WISCONSIN SYSTEM
Initial Amendment Date: July 14, 2017
Latest Amendment Date: July 14, 2017
Award Number: 1716594
Award Instrument: Standard Grant
Program Manager: Anthony Garza
aggarza@nsf.gov
 (703)292-2489
MCB
 Division of Molecular and Cellular Biosciences
BIO
 Directorate for Biological Sciences
Start Date: August 1, 2017
End Date: January 31, 2022 (Estimated)
Total Intended Award Amount: $750,000.00
Total Awarded Amount to Date: $750,000.00
Funds Obligated to Date: FY 2017 = $750,000.00
History of Investigator:
  • Michael Thomas (Principal Investigator)
    thomas@bact.wisc.edu
  • Brian Pfleger (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Wisconsin-Madison
21 N PARK ST STE 6301
MADISON
WI  US  53715-1218
(608)262-3822
Sponsor Congressional District: 02
Primary Place of Performance: University of Wisconsin-Madison
1550 Linden Drive
Madison
WI  US  53706-1521
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): LCLSJAGTNZQ7
Parent UEI:
NSF Program(s): Systems and Synthetic Biology
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9179, 9178, 9251, 7465
Program Element Code(s): 801100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Non-ribosomal peptides are naturally produced by many bacteria and have been an excellent source of therapeutics, most notably new antibiotics. The synthesis of many of these peptides involves a class of enzymes called non-ribosomal peptide synthetases. These enzymes function in a manner analogous to an assembly line with enzyme workstations or 'modules' that coordinately build the peptide one amino acid at a time. The goal of this project is to learn the rules for mixing and matching the workstations from different non-ribosomal peptide synthetases. Ultimately, this would allow researchers to construct hybrid enzymes that synthesize novel peptides and then screen the peptides for therapeutic properties. This research will provide cross-disciplinary training due to the collaborative effort between faculty in the biological sciences and engineering sciences. This cross-disciplinary approach will be integrated into a formal undergraduate capstone course, an undergraduate summer research program, and outreach to K-12 students. This approach will also expose the students to basic scientific questions (e.g. substrate recognition) and show the students how this information can be applied to an important goal (e.g. production of designer molecules).

During non-ribosomal peptide assembly, the adenylation (A) domains recognize specific amino acids and tethers them to partner peptidyl carrier protein (PCP) domains. Condensation (C) domains subsequently form amide bonds between two neighboring PCP-tethered amino acids in a directional manner, forming the peptide backbone. Structural and biochemical studies have identified A domain specificity codes that define the amino acid recognized by the domain. While this code has proved enormously useful in predicting the amino acid activated, a number of studies have shown that altering the residues that define this code nearly always fail to switch substrate specificity. Furthermore, complete domain or module swaps generating chimeric non-ribosomal peptide synthetases generally fail to function efficiently, likely due to improper protein-protein interactions or substrate specificity of the associated C domains. This project will investigate the reprogramming of both A and C domains of non-ribosomal peptide synthetases using in vivo directed evolution approaches. Using these approaches, this study aims to define a means for generating functional chimeric A domains, identify new A domain specificity codes for altering amino acid recognition, and understand the residues governing substrate recognition by C domains. Results from these studies will aid our ability to rationally reprogram the biosynthesis of this important class of natural products to generate designer molecules for a variety of applied purposes, while also gaining insights into how nature has accomplished this goal.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Cook, Taylor B. and Rand, Jacqueline M. and Nurani, Wasti and Courtney, Dylan K. and Liu, Sophia A. and Pfleger, Brian F. "Genetic tools for reliable gene expression and recombineering in Pseudomonas putida" Journal of Industrial Microbiology & Biotechnology , v.45 , 2018 10.1007/s10295-017-2001-5 Citation Details
Cook, Taylor B. and Pfleger, Brian F. "Leveraging synthetic biology for producing bioactive polyketides and non-ribosomal peptides in bacterial heterologous hosts" MedChemComm , v.10 , 2019 10.1039/C9MD00055K Citation Details
Throckmorton, Kurt and Vinnik, Vladimir and Chowdhury, Ratul and Cook, Taylor and Chevrette, Marc G. and Maranas, Costas and Pfleger, Brian and Thomas, Michael George "Directed Evolution Reveals the Functional Sequence Space of an Adenylation Domain Specificity Code" ACS Chemical Biology , v.14 , 2019 https://doi.org/10.1021/acschembio.9b00532 Citation Details
Lawson, Christopher E. and Harcombe, William R. and Hatzenpichler, Roland and Lindemann, Stephen R. and Löffler, Frank E. and OMalley, Michelle A. and García Martín, Héctor and Pfleger, Brian F. and Raskin, Lutgarde and Venturelli, Ophelia S. and Weissbr "Common principles and best practices for engineering microbiomes" Nature reviews. Microbiology , 2019 https://doi.org/10.1038/s41579-019-0255-9 Citation Details
Vinnik, Vladimir and Zhang, Fan and Park, Hyunjun and Cook, Taylor B. and Throckmorton, Kurt and Pfleger, Brian F. and Bugni, Tim S. and Thomas, Michael G. "Structural and Biosynthetic Analysis of the Fabrubactins, Unusual Siderophores from Agrobacterium fabrum Strain C58" ACS Chemical Biology , v.16 , 2021 https://doi.org/10.1021/acschembio.0c00809 Citation Details
Cook, Taylor B. and Jacobson, Tyler B. and Venkataraman, Maya V. and Hofstetter, Heike and Amador-Noguez, Daniel and Thomas, Michael G. and Pfleger, Brian F. "Stepwise genetic engineering of Pseudomonas putida enables robust heterologous production of prodigiosin and glidobactin A" Metabolic Engineering , v.67 , 2021 https://doi.org/10.1016/j.ymben.2021.06.004 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Project Outcomes Summary for NSF award 1716594

Project Title: An evolutionary approach to enable reprogramming of nonribosomal peptide synthase enzymology

Summary:

We developed genetic selections and metabolic engineering tools and strains for the analysis, evolution, and engineering of nonribosomal peptide synthetase-base natural products. In Escherichia coli, we developed a genetic selection system that enables us to decipher the functionality of the nonribosomal peptide synthetase (NRPS) associated with enterobactin biosynthesis. We exploited this genetic selection to investigate the flexibility of the L-serine specificity code of the EntF adenylation (A) domain. Using site-saturation mutagenesis coupled with our genetic selection, we performed the most comprehensive analysis of an A domain specificity code to date. From this analysis, we determined the code was more expansive than seen in Nature, with 152 new L-serine specificity codes being identified. Analysis of a subset of these A domain variants determined that retained their specificity for L-serine and had a five-fold variation in in vivo function. In vitro biochemical analysis of these variants showed they had changed their affinity for L-serine or changed the reaction rate. Molecular modeling of the active sites suggested interactions between the enzyme and L-serine were reduced in these variants while the interactions between the specificity code residues were increased. This work laid the groundwork for further studies on specificity code flexibility. Further mutagenesis on an additional 60 million EntF variants determined that changes to the specificity code alone are not sufficient for changing substrate specificity of targeted A domains. Since the enterbactin system was limited to L-serine recognition, we used genome mining, metabolomics, and structural analysis to identify a siderophore in Agrobacterium fabrum strain C58 that extends the use of a genetic selection to include additional NRPS domains as well as polyketide synthase (PKS) domains. This work discovered previously unknown enzymology associated with NRPS and PKS enzymology. To extend our approach to additional organisms, we targeted the further development of Pseudomonas putida KT2440 as a microbial chassis to enable the reprogramming of NRPS enzymology. We developed a series of genetic tools for P. putida to capture and modify biosynthetic gene clusters from other organisms. As a proof-of-principle, we used these tools to enable the robust heterologous production of the NRPS-derived prodigiosin from Serratia marcescens and glidobactin A from Schlegelella brevitalea DSM7029 and Photorhabdus luminescens subp. laumondii TT01 in P. putida KT2440. These efforts showed that we could produce 1.1 g/L of prodigiosin and 470 mg/L of glydobactin A in P. putida KT2440. Therefore, we have developed the necessary genetic tools and strains for taking an evolutionary approach to enabling the reprogramming of NRPS enzymology in diverse microorganisms.

These studies resulted in six publications (four research papers and two reviews). Additionally, the Thomas laboratory trained 1.5 Ph.D. students and four BS students (two received undergraduate fellowships, one student was a member of an underrepresented group, and another student was a military veteran). The Pfleger laboratory trained one Ph.D. student, one BS student, and one high school apprentice on these projects.

 


Last Modified: 04/13/2022
Modified by: Michael G Thomas

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