Project description:Published 2020 version of the first genome-scale metabolic model for Issatchenkia orientalis SD108.
Abstract: Many platform chemicals can be produced from renewable biomass by microorganisms, with organic acids making up a large fraction. Intolerance to the resulting low pH growth conditions, however, remains a challenge for the industrial production of organic acids by microorganisms. Issatchenkia orientalis SD108 is a promising host for industrial production because it is tolerant to acidic conditions as low as pH 2.0. With the goal to systematically assess the metabolic capabilities of this non-model yeast, we developed a genome-scale metabolic model for I. orientalis SD108 spanning 850 genes, 1826 reactions, and 1702 metabolites. In order to improve the model's quantitative predictions, organism-specific macromolecular composition and ATP maintenance requirements were determined experimentally and implemented. We examined its network topology, including essential genes and flux coupling analysis and drew comparisons with the Yeast 8.3 model for Saccharomyces cerevisiae. We explored the carbon substrate utilization and examined the organism's production potential for the industrially-relevant succinic acid, making use of the OptKnock framework to identify gene knockouts which couple production of the targeted chemical to biomass production. The genome-scale metabolic model iIsor850 is a data-supported curated model which can inform genetic interventions for overproduction.
Project description:We performed proteomic analyses of the roots in non-root pruned (control) and root-pruned Platycladus orientalis seedlings at different sampling times.
Project description:Reported here are the transcriptomic changes resulting from extinction learning, in the brain of an anuran amphibian. RNA sequencing was utilized to investigate gene expression patterns resulting from conditioned learning in the fire-bellied toad, Bombina orientalis. As a basal tetrapod lineage, B. orientalis represents a robust candidate for investigating the evolution of molecular mechanisms underlying learning in vertebrates. The gene expression patterns associated with extinction learning in this species shared similarities with to those found in mammals submitted to extinction, but interesting divergent profiles highlighted potential differences in the mechanisms of learning and memory among tetrapods.
