Rupert Norman

TL;DR: A revised manually curated full genome sequence for Clostridium autoethanogenum DSM10061 is presented, which provides reliable information for genome-scale models that rely heavily on the accuracy of annotation, and represents an important step towards the manipulation and metabolic modelling of this industrially relevant acetogen.

TL;DR: Analysis of the genome sequences revealed that three genes were missing from pantothenate and thiamine biosynthetic pathways, and five genes were absent from the pathway for biotin biosynthesis, raising questions whether alternative steps exist in biotin and thienine biosynthesis pathways in these acetogens.

TL;DR: The research conducted into C. autoethanogenum is outlined in three broad categories (Enzymology, Genetics, and Systems Biology) and suggestions for future research are offered.

TL;DR: A new, experimentally parameterised genome-scale model of C. autoethanogenum predicts dramatically increased 2,3-BD production under non-carbon-limited conditions when thermodynamic constraints on hydrogen production are considered.

TL;DR: This study presents a thorough analysis of two different in silico methods tested against experimental data (metabolomics and 13C-MFA) for the mesophile Escherichia coli, and explored the reliability of currently available tools by investigating the impact of varying parameters in the simulation of metabolic fluxes and metabolite concentration values.