Genetics and Genomics Commons^™

Bacterial Metabolism Of Glucosinolates From Brassica: Association With Isothiocyanate Production, Stephanie Thomas, Jiaxuan Li, Michael J. Miller

PRECS student projects

Study Focus: To explore the alternative metabolic pathways of GSLs in bacteria, present on the surface of brassica vegetables.

Hypothesis: The alternative pathways used to metabolize GSLs in bacteria located on the surface of brassica vegetables, may contribute to the high variance of human gut GSL conversion to ITC.

Comparative Analysis Of Metabolic Pathways Of Bacteria Used In Fermented Food, Keanu Hoang, Kiran Bastola

Theses/Capstones/Creative Projects

This study presents a novel methodology for analyzing metabolic pathways. Utilizing KEGG REST API through a Biopython package and file parser, data about whether or not a bacteria has an enzyme or not was extracted. The results found that differences in metabolic pathway enrichment values follow along the lines of genera and pathway type. In particular, bacteria found in food spoilage and commercial nitrogen fixing products had high values of enrichment.

Draft Nuclear Genome Sequence Of The Liquid Hydrocarbon–Accumulating Green Microalga Botryococcus Braunii Race B (Showa), Daniel R. Browne, Jerry Jenkins, Jeremy Schmutz, Shengqiang Shu, Kerrie Barry, Jane Grimwood, Jennifer Chiniquy, Aditi Sharma, Thomas Daniel Niehaus, Taylor L. Weiss, Andrew T. Koppisch, David T. Fox, Suraj Dhungana, Shigeru Okada, Joe Chappell, Timothy P. Devarenne

Plant and Soil Sciences Faculty Publications

Botryococcus braunii has long been known as a prodigious producer of liquid hydrocarbon oils that can be converted into combustion engine fuels. This draft genome for the B race of B. braunii will allow researchers to unravel important hydrocarbon biosynthetic pathways and identify possible regulatory networks controlling this unusual metabolism.

Gene And Protein Sequence Optimization For High-Level Production Of Fully Active And Aglycosylated Lysostaphin In Pichia Pastoris, Hongliang Zhao, Kristina Blazanovic, Yoonjoo Choi, Chris Bailey-Kellogg, Karl E. Griswold

Dartmouth Scholarship

Lysostaphin represents a promising therapeutic agent for the treatment of staphylococcal infections, in particular those of methicillin-resistant Staphylococcus aureus (MRSA). However, conventional expression systems for the enzyme suffer from various limitations, and there remains a need for an efficient and cost-effective production process to facilitate clinical translation and the development of nonmedical applications. While Pichia pastoris is widely used for high-level production of recombinant proteins, there are two major barriers to the production of lysostaphin in this industrially relevant host: lack of expression from the wild-type lysostaphin gene and aberrant glycosylation of the wild-type protein sequence. The first barrier can …

Principal Component Analysis For Predicting Transcription-Factor Binding Motifs From Array-Derived Data, Yunlong Liu, Matthew P Vincenti, Hiroki Yokota

Dartmouth Scholarship

The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to transcription-factor binding motifs (TFBMs). In order to select a critical set of TFBMs from genomic DNA information and an array-derived data, an efficient algorithm to solve a combinatorial optimization problem is required. Although computational approaches based on evolutionary algorithms are commonly employed, an analytical algorithm would be useful to predict TFBMs at nearly no computational cost and evaluate varying modelling conditions. Singular value decomposition (SVD) is a powerful method to derive primary components of a given matrix. Applying SVD …