An extracellular lipopolysaccharide-phospholipid-protein complex produced by Escherichia coli grown under lysinelimiting conditions

Lysine limitation during growth of the lysine-requiring mutant of Escherichia coli 12408 resulted in the excretion of a complex containing 60% of lipopolysaccharide, 26% of extractable phospholipid and 11% of protein. The complex was obtained from the culture filtrate in yields of about 0·5g./l. by precipitation with chloroform or gel filtration; some purification steps are described. The greater part of the phospholipid consisted of phosphatidylethanolamine, which contained four main fatty acids; two monoenoic acids and a cyclopropane acid were esterified mainly in the β-position, and a saturated acid was located mainly in the γ-position. The protein component was relatively insoluble and contained an excess of acidic over basic amino acids and little cystine. The lipopolysaccharide resembled in composition the intracellular lipopolysaccharides from rough strains of E. coli. Both protein and lipopolysaccharide constituents of the complex were serologically active; the complex was less toxic than the purified lipopolysaccharide. In the electron microscope the complex showed a mixture of particles of various sizes and shapes. Rods and hollow spheroids (diameter 12–200mμ) were most common and resembled the particles previously found surrounding cells actively excreting the complex. The chloroform-precipitated material showed a tubular lamellar structure. Soluble lipopolysaccharide prepared from the complex also consisted of hollow spheres and rods.     

An extracellular glycolipid produced by Escherichia coli grown under lysine-limiting conditions

1. Some of the products excreted by cultures of lysine-requiring Escherichia coli A.T.C.C. 12408 grown under lysine-limiting conditions have been studied. 2. A glycolipid designated ;extracellular lipoglycopeptide' was prepared from culture filtrates of such organisms. It contained 35% of lipid, 19% of carbohydrate, 3.4% of P and 3.7% of N. 3. Comparison of the lipids, fatty acids, carbohydrates and amino acids of this lipoglycopeptide with those of whole cells, cell walls and cellular lipopolysaccharides shows that it has few features (except its residual lipids) in common with any of these fractions. 4. The lipoglycopeptide was antigenically related to both walls and lipopolysaccharide.     

Application of robust optimization in matrix-based LCI for decision making under uncertainty

Purpose

When product systems are optimized to minimize environmental impacts, uncertainty in the process data may impact optimal decisions. The purpose of this article is to propose a mathematical method for life cycle assessment (LCA) optimization that protects decisions against uncertainty at the life cycle inventory (LCI) stage.

Methods

A robust optimization approach is proposed for decision making under uncertainty in the LCI stage. The proposed approach incorporates data uncertainty into an optimization problem in which the matrix-based LCI model appears as a constraint. The level of protection against data uncertainty in the technology and intervention matrices can be controlled to reflect varying degrees of conservatism.

Results and discussion

A simple numerical example on an electricity generation product system is used to illustrate the main features of this methodology. A comparison is made between a robust optimization approach, and decision making using a Monte Carlo analysis. Challenges to implement the robust optimization approach on common uncertainty distributions found in LCA and on large product systems are discussed. Supporting source code is available for download at https://github.com/renwang/Robust_Optimization_LCI_Uncertainty.

Conclusions

A robust optimization approach for matrix-based LCI is proposed. The approach incorporates data uncertainties into an optimization framework for LCI and provides a mechanism to control the level of protection against uncertainty. The tool computes optimal decisions that protects against worst-case realizations of data uncertainty. The robust optimal solution is conservative and is able to avoid the negative consequences of uncertainty in decision making.     

Wound repair in Montipora capitata

We documented the microscopic morphology of tissue healing in Montipora capitata. Fragments from two healthy coral colonies were traumatized by scraping tissue and skeleton and monitored in flow-through seawater tables every 2-4 days for 40 days for gross and cellular changes. Grossly, corals appeared healed and repigmented by Day 40. Histologically, traumatized issues were undistinguishable from intact untraumatized tissues by Day 12. We suspect that the calicoblastic epidermis of basal body wall is pluripotential and can develop into surface epidermis when needed.