Gluconobacter oxydans is well-known for its incomplete
oxidizing capacity and has been widely applied in industrial production.
However, genetic tools in G. oxydans are still
scarce compared with model microorganisms, limiting its metabolic
engineering. This study aimed to develop a clustered regularly interspaced
short palindromic repeats interference (CRISPRi) system based on the
typical type I-E endogenous CRISPR/CRISPR-associated proteins (Cas)
system in G. oxydans WSH-003. The nuclease Cas3
in this system was inactivated naturally and hence did not need to
be knocked out. Subsequently, the CRISPRi effect was verified by repressing
the expression of fluorescent proteins, revealing effective multiplex
gene repression. Finally, the endogenous CRISPRi system was used to
study the role of the central carbon metabolism pathway, including
the pentose phosphate pathway (PPP) and Entner–Doudoroff pathway
(EDP), in G. oxydans WSH-003. This was done
to demonstrate a metabolic engineering application. The PPP was found
to be important for cell growth and the substrate conversion rate.
The development of the CRISPRi system enriched the gene regulation
tools in G. oxydans and promoted the metabolic
engineering modification of G. oxydans to improve
its performance. In addition, it might have implications for metabolic
engineering modification of other genetically recalcitrant strains.
A sequential heuristic algorithm is presented for the one-dimensional cutting stock problem in which a set of items with specified length and demand are cut from the stock rods such that the waste is minimized. The algorithm generates a cutting pattern using items of a selected subset of the unassigned items, determines the frequency (number of times) at which the pattern can be used, deletes from the set of the unassigned items those that are assigned to the current pattern, and repeats until all items have been assigned. The selected subset is determined such that the frequency of the generated pattern can be as large as possible, provided that some constraints are observed to keep reasonable trim loss, and the cutting pattern is obtained from solving a bounded knapsack problem. The computational test on 18 classes of 1800 benchmark instances indicates that the algorithm performs better than two recently published algorithms for pattern reduction.
Three crosslinked copolymer nanospheres were prepared by inverse microemulsion polymerization. Resistance temperature and resistance salinity of the copolymer CP(AM-AA-AMPS) [crosslinked poly(acrylamide-acrylic acid-2-acrylamide-2-methylacrylic sulfonic acid)] nano-spheres were superior to the CPAM (crosslinked polyacrylamide) nano-spheres and CP(AM-AA) [crosslinked poly(acrylamide-acrylic acid)] nano-spheres. The nanospheres had a tendency to plug the high-permeability layer and drive crude oil from the low-permeability layer. Meanwhile, these nanospheres displaced crude oil that existed in the pores or throats when they were conveyed in porous media. Consequently, deep profile control and oil displacement could be entirely actualized, and the ultimate goal of enhanced oil recovery could be achieved for high-temperature and high-salinity reservoirs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.