1a.Objectives (from AD-416)
The overall objective of this project is to elucidate genomic mechanisms of detoxification and tolerance of ethanologenic yeast to biomass conversion inhibitors furfural and 5-hydroxymethylfurfural (HMF), and thereafter to genome-wise manipulate and engineer more robust strains for low-cost biomass conversion to ethanol. This study will identify and characterize genes involved in pathways relevant to detoxification, biotransformation, and tolerance to furfural and HMF involved in biomass conversion to ethanol; and elucidate regulatory mechanisms of major gene interactions in relevant pathways involved in furfural and HMF detoxification and tolerance using computational prediction and mathematical modeling.
1b.Approach (from AD-416)
We plan to study genomic regulatory mechanisms of inhibitor detoxification by yeast during ethanol production from dilute acid-hydrolyzed biomass. We propose to characterize the genomic transcriptional profiling of wild-type and several improved, more inhibitor-tolerant strains in response to furfural and 5-hydroxymethylfurfural (HMF) supplied in a defined culture medium. To accomplish this, yeast cells will be sampled in a time-course study to isolate total ribonucleic acid (RNA) and conduct microarray experiments using two-color microarray with spiking universal external RNA quality controls. Inhibitor and inhibitor-conversion products, glucose consumption, ethanol production, and other byproducts generated during the fermentation process will also be monitored during the time-course study to establish metabolic profiles for wild-type and more tolerant strains involved in detoxification of biomass conversion inhibitors. Based on data from culture time-course studies, we will propose computational models to predict the behavior of the gene function and expression of natural and genetically engineered networks under furfural and HMF stress. A dynamic mathematical model using difference equations and estimate parameters will be applied and tested for its ability to describe gene regulatory network behavior. Based on these approaches, we will form testable hypotheses to explain molecular and genomic mechanisms of yeast detoxification and tolerance to furfural and HMF.
In this past year, we have focused on comparative modeling of gene interactions and topology-based pathway-guided enrichment analysis of gene expression data under inhibitor stress. We have made significant progress in developing a novel pathway enrichment analysis program using our stress conditioned comparative microarray data. This development applied available pathway resources and a topology-based strategy of comparative high throughput microarray data sets. It allowed more sensitive detection of gene interactions and pathways affected by the stress. We also tested data from quantitative real-time polymerase chain reactions of deletion mutations using a comparative modeling method and will further improve the computational method based on the preliminary results. The Authorized Departmental Officer's Designated Representative monitored the activities of this agreement via e-mail contacts, telephone communications, and monthly teleconferences.