Natural products from organisms as diverse as bacteria, plants, and marine invertebrates constitute a rich source of molecules with wide-ranging bioactivities related to human disease, including antibiotics and anti- cancer agents. A plentitude of these structurally complex secondary metabolites are synthesized by large enzyme complexes, polyketide synthases (PKSs) and/or nonribosomal peptide synthetases (NRPSs), in a linear """"""""assembly-line"""""""" manner. PKSs/NRPSs consist of multiple polypeptides (modules), each with multiple functional domains that covalently load appropriate building blocks (e.g., malonyl groups for PKSs and activated amino acids for NRPSs) and sequentially condense them onto the growing natural product chain. Often, additional enzymes are involved for further processing, such as attachment of carbohydrates. There is also enzymatic variety within each module such that, e.g., dehydration, reduction, and alkylation reactions may occur at any position in the growing natural product chain for increased structural diversity. Tremendous advances in our understanding of natural product biosynthetic pathways are beginning to allow pathway engineering for generation of compounds with new or improved bioactivities. However, in many cases, valuable natural products are known but the corresponding biosynthetic pathways remain undiscovered due to, e.g., challenges in genome sequencing. For such systems, pathway discovery at the protein rather than DNA level is emerging as an attractive approach that also verifies biosynthetic protein expression. However, due to the complexity of collected metaproteomic samples, targeted methods are needed. This proposal describes the development of innovative methods for targeted PKS/NRPS proteomics, as well as their application for pathway discovery in the dinoflagellate Karenia brevis. This marine plankton produces the highly structurally complex brevetoxins, responsible for the deaths and illnesses associated with the Florida red tide, as well as the antitoxin, brevenal, currently in clinical trials for treatment of asthma and cystic fibrosis. We will harness the high infrared absorption of phosphopantetheine (Ppant) prosthetic groups on PKSs/NRPSs to selectively detect Ppant-containing peptides in proteolytic digests with mass spectrometry in a parallel rather than the conventional sequential manner. This innovative strategy will be validated in highly complex metaproteomic samples such as the tunicate/microbial symbiont producer of the approved anti-cancer agent ET-743, for which we recently demonstrated feasibility of biosynthetic protein detection. We will also develop suitable bioinformatic approaches for automated mining of such complex datasets. For increased selectivity, we will develop IR-active chemical probes, resembling secondary metabolite biosynthetic intermediates, for loading onto PKSs/NRPSs. These approaches will be applied for PKS discovery in collected K. brevis samples. Biosynthetic pathway identification will allow characterization of the corresponding undoubtedly highly intricate biosynthetic mechanisms, and provide a gateway to sustainable drug production.

Public Health Relevance

Almost all drug molecules used in the United States are natural products or derivatives thereof. This research focuses on developing innovative approaches for discovering the enzymes responsible for generating these structurally complex molecules within organisms in their natural environment. Acquired knowledge about the functions of such enzymes will allow generation of novel or improved drugs, as well as engineering of novel methods for drug production.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM107148-01A1
Application #
8630175
Study Section
Enabling Bioanalytical and Imaging Technologies Study Section (EBIT)
Program Officer
Edmonds, Charles G
Project Start
2014-02-01
Project End
2019-01-31
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Borotto, Nicholas B; McClory, Phillip J; Martin, Brent R et al. (2017) Targeted Annotation of S-Sulfonylated Peptides by Selective Infrared Multiphoton Dissociation Mass Spectrometry. Anal Chem 89:8304-8310
McClory, Phillip J; HÃ¥kansson, Kristina (2017) Corona Discharge Suppression in Negative Ion Mode Nanoelectrospray Ionization via Trifluoroethanol Addition. Anal Chem 89:10188-10193
Kochen, Michael A; Chambers, Matthew C; Holman, Jay D et al. (2016) Greazy: Open-Source Software for Automated Phospholipid Tandem Mass Spectrometry Identification. Anal Chem 88:5733-41
Tsou, Chih-Chiang; Tsai, Chia-Feng; Teo, Guo Ci et al. (2016) Untargeted, spectral library-free analysis of data-independent acquisition proteomics data generated using Orbitrap mass spectrometers. Proteomics 16:2257-71
Khare, Dheeraj; Hale, Wendi A; Tripathi, Ashootosh et al. (2015) Structural Basis for Cyclopropanation by a Unique Enoyl-Acyl Carrier Protein Reductase. Structure 23:2213-2223
Tsou, Chih-Chiang; Avtonomov, Dmitry; Larsen, Brett et al. (2015) DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics. Nat Methods 12:258-64, 7 p following 264