Chemistry and Chemical Biology ETDs
Publication Date
Spring 4-15-2018
Abstract
Type II polyketides (PK-II) has made up a class of natural products that are structurally diverse and are clinically useful due to their wide-range of bioactivity. The work described in this dissertation focuses on developing approaches to facilitate our understanding of sequence-function relationships of PK-II biosynthetic gene clusters (BGCs). We have systematically summarized the previous characterizations of enzymes involved in the core structure biosynthesis, which have set a foundation for our developments of approaches to discover organisms harboring novel enzymes responsible for novel PK-II molecules. We have successfully developed bioinformatics tools to globally mine the PK-II BGCs in the NCBI databank. From there, we have developed predictive models to predict the outcomes of PK-II BGCs at each stage of biosynthesis: priming-extension (KSα/β product prediction), cyclization (core structure prediction), and tailoring (whole structure prediction). We have applied the predictive models for more than 500 clusters identified from NCBI databank and have elected strains and clusters that have a high level of novelty in biosynthesis for further characterizations. Through phylogenetic analysis, we were able to identify uncharacterized proteins and protein families. The results from phylogenetic analysis could also work as a roadmap for synthetic biology approaches such as pathway engineering. Furthermore, the results of the co-evolutional analysis have suggested the existence of multienzyme complexes of PK-II biosynthetic genes. Lastly, we have developed and optimized a new approach to assess the availability and diversity of PK-II biosynthetic genes in environment soil bacteria. The method was applied to two bacterial collections to identify and elect strains for compound discovery and characterization.
Language
English
Document Type
Dissertation
Degree Name
Chemistry
Level of Degree
Doctoral
Department Name
Department of Chemistry and Chemical Biology
First Committee Member (Chair)
Dr. Jeremy Edwards
Second Committee Member
Dr. Charles Melancon
Third Committee Member
Dr. Fu-Sen Liang
Fourth Committee Member
Dr. Diana Northup
Recommended Citation
Nguyen, Han Bich. "BIOINFORMATICS- AND PHYLOGENETICS-GUIDED APPROACHES TO UNDERSTANDING SEQUENCE-FUNCTION RELATIONSHIPS OF TYPE II POLYKETIDE BIOSYNTHETIC GENE CLUSTERS." (2018). https://digitalrepository.unm.edu/chem_etds/91