Status of life cycle assessment and engineering research in South Africa

In view of the upcoming 2002 World Summit in Johannesburg, sustainable development is a topic of high priority in South Africa. Although the South African competency in Life Cycle Assessment (LCA) and Life Cycle Engineering (LCE) has grown to some extent over the last ten years, South African industry and government have been slow to realise the benefit of LCAs and LCE as tools to support cleaner production and sustainable development. However, the local application of these tools, as well as considerations during their use, differs from practices in developed countries. The applications of LCAs and LCE, the type of organisations involved and the limitations and common problems associated with these tools in South Africa are discussed.     

Early life socioeconomic factors and genomic DNA methylation in mid-life

Epigenetic modifications may be one mechanism linking early life factors, including parental socioeconomic status (SES), to adult onset disease risk. However, SES influences on DNA methylation patterns remain largely unknown. In a US birth cohort of women, we examined whether indicators of early life and adult SES were associated with white blood cell methylation of repetitive elements (Sat2, Alu and LINE-1) in adulthood. Low family income at birth was associated with higher Sat2 methylation (β = 19.7, 95% CI: 0.4, 39.0 for lowest vs. highest income quartile) and single parent family was associated with higher Alu methylation (β = 23.5, 95% CI: 2.6, 44.4), after adjusting for other early life factors. Lower adult education was associated with lower Sat2 methylation (β = -16.7, 95% CI: -29.0, -4.5). There were no associations between early life SES and LINE-1 methylation. Overall, our preliminary results suggest possible influences of SES across the life-course on genomic DNA methylation in adult women. However, these preliminary associations need to be replicated in larger prospective studies.     

Uncertainty calculation in life cycle assessments

Goal and Background  Uncertainty is commonly not taken into account in LCA studies, which downgrades their usability for decision support. One often stated reason is a lack of method. The aim of this paper is to develop a method for calculating the uncertainty propagation in LCAs in a fast and reliable manner. Approach  The method is developed in a model that reflects the calculation of an LCA. For calculating the uncertainty, the model combines approximation formulas and Monte Carlo Simulation. It is based on virtual data that distinguishes true values and random errors or uncertainty, and that hence allows one to compare the performance of error propagation formulas and simulation results. The model is developed for a linear chain of processes, but extensions for covering also branched and looped product systems are made and described. Results  The paper proposes a combined use of approximation formulas and Monte Carlo simulation for calculating uncertainty in LCAs, developed primarily for the sequential approach. During the calculation, a parameter observation controls the performance of the approximation formulas. Quantitative threshold values are given in the paper. The combination thus transcends drawbacks of simulation and approximation. Conclusions and Outlook  The uncertainty question is a true jigsaw puzzle for LCAs and the method presented in this paper may serve as one piece in solving it. It may thus foster a sound use of uncertainty assessment in LCAs. Analysing a proper management of the input uncertainty, taking into account suitable sampling and estimation techniques; using the approach for real case studies, implementing it in LCA software for automatically applying the proposed combined uncertainty model and, on the other hand, investigating about how people do decide, and should decide, when their decision relies on explicitly uncertain LCA outcomes-these all are neighbouring puzzle pieces inviting to further work.     

A call for full annual cycle research in animal ecology

For vertebrates, annual cycles are organized into a series of breeding and non-breeding periods that vary in duration and location but are inextricably linked biologically. Here, we show that our understanding of the fundamental ecology of four vertebrate classes has been limited by a severe breeding season research bias and that studies of individual and population-level responses to natural and anthropogenic change would benefit from a full annual cycle perspective. Recent emergence of new analytical and technological tools for studying individual and population-level animal movement could help reverse this bias. To improve understanding of species biology and reverse the population declines of many vertebrate species, a concerted effort to move beyond single season research is vital.     

Genome-wide identification of novel genomic islands that contribute to Salmonella virulence in mouse systemic infection

Salmonella pathogenicity islands are inserted into the genome by horizontal gene transfer and are required for expression of full virulence. Here, we performed tRNA scanning of the genome of Salmonella enterica serovar Typhimurium and compared it with that of nonpathogenic Escherichia coli in order to identify genomic islands that contribute to Salmonella virulence. Using deletion analysis, we identified four genomic islands that are required for virulence in the mouse infection model. One of the newly identified pathogenicity islands was the pheV- tRNA-located genomic island, which is comprised of 26 126 bp, and encodes 22 putative genes, including STM3117–STM3138. We also showed that the pheV tRNA-located genomic island is widely distributed among different nontyphoid Salmonella serovars. Furthermore, genes including STM3118–STM3121 were identified as novel virulence-associated genes within the pheV- tRNA-located genomic island. These results indicate that a Salmonella -specific pheV- tRNA genomic island is involved in Salmonella pathogenesis among the nontyphoid Salmonella serovars.     

醇化烟叶酵母菌分离鉴定及其生物学特性研究

采用涂布培养法和富集培养法对醇化烟叶样品中酵母菌进行了分离,富集培养法分离到23株,涂布培养法分离到6株。29株酵母菌的生物学特性研究表明,其中果胶酶、蛋白酶、淀粉酶、脂酶、纤维素酶、酚类利用、木质素利用、尼古丁降解、发酵产物气味等试验呈阳性的菌株数分别是1、10、0、3、10、22、1、21和29株。利用ATB系统,将ATY1、ATY8和ATY27等3株酵母菌分别鉴定为黏红酵母(Rhodotorula glutinis)、罗伦隐球酵母(Cryptococcus laurentii)和粗壮假丝酵母(Candida valida),各菌株鉴定结果的符合率分别为99.4%、98.2%和89.9%。研究结果表明,醇化烟叶中酵母菌种群数量较小,但酵母菌的生物学特性有利于烟叶醇化,值得进一步深入研究。     

Two-stage life cycle of a Cordylophora population in the Netherlands

A population of Cordylophora caspia was studied during a number of years in interconnected waters of different salinity and pollution. The distribution pattern of the colonies is only partly accounted for by these properties of the water. Part of it is also due to the availability of suitable substratum.Evidence is given that colonies of Cordylophora grow and survive on stones along the banks, but flourish during the summer on free-floating water-lily stalks.Zoological Laboratory, University of AmsterdamZoological Laboratory, University of Amsterdam     

Aspects of the life cycle of Schistosoma margrebowiei infection in laboratory mammals

Schistosoma margrebowiei Le Roux, 1933 has been recorded in a number of mammals in Africa. The parasite was maintained in the laboratory using Bulinus natalensis as intermediate host and hamsters, mice and gerbils as definitive hosts.Worm recovery, growth of paired worms, egg output and egg viability were determined and compared in the three laboratory hosts. The results in the three hosts are discussed and the mouse was observed to be suitable for the long term studies on S. margrebowiei in the laboratory. Hamsters and gerbils were observed to be useful for the study of the acute phase of the disease.     

Individual variation in movement throughout the life cycle of a stream-dwelling salmonid fish

Stream-dwelling fish populations have long served as important models of animal movement. Populations of adult stream-dwelling fishes are generally composed of a mix of relatively sedentary and mobile individuals. However, we do not know whether this pattern that we typically observe among adults is indicative of patterns of movement that occur throughout the life cycle. Therefore, we do not know whether we can apply these patterns to understanding or predicting processes such as migration and thus the potential for the evolution of genetic differences among populations. We test the general hypothesis that patterns of movement throughout the life cycle are consistent with patterns of movement inferred by indirect genetic methods and, more specifically, that the characteristics of the mobile fraction of the population are consistent with patterns of genetic differentiation. We used parentage analyses to infer the movements of alevin brook charr (Salvelinus fontinalis) in Freshwater River, Newfoundland, Canada, and a capture-recapture study of one cohort in this population to infer movement throughout the rest of the life cycle. We found that alevins move large distances shortly after emergence, primarily in the downstream direction, and that the population is composed of a mix of relatively sedentary and mobile individuals throughout all other intervals of the life cycle. In contrast, when we considered movements of individuals first captured as juveniles and eventually recovered as reproductively mature adults, we found relatively large and uniform distributions of net movement distance. Thus, heterogeneity in individual movement of adults is not representative of patterns of movement throughout the life cycle and therefore may provide only limited inference of population-level processes such as gene flow.     

Composition of Gigartina carrageenan in relation to sporophyte and gametophyte stages of the life cycle

Total carrageenan levels (55–88% of plant dry weight) of four Gigartina species showed little variation between male, female and tetrasporic plants. However whereas male and female gametophyte plants gave carrageenans with K: λ ratios usually ranging from 1·0 to 4·0, with one species in the range 0·3–0·8, tetrasporophyte carrageenans gave very low K: λ ratios, 0·02–0·1, indicative of a virtual absence of K-carrageenan from plants of this stage of the life cycle.     

Homothallic life cycle in the diploid red yeast Xanthophyllomyces dendrorhous (Phaffia rhodozyma)

Sexual activity was induced in the basidiomyceteous Phaffia rhodozyma (Xanthophyllomyces dendrorhous) by depletion of nitrogen from the culture medium. This activity involved both mating between two yeast cells and the formation of basidiospores. Mating is possibly started by a G1 phase arrest of the cell cycle, as in other yeasts. The life cycle exhibited homothallic features. Crosses between genetically marked strains, and pulse-field gel electrophoresis of the chromosomal DNA of cells derived from individual spores revealed evidence of karyogamy, meiosis and even recombination. The segregation ratio in tetrads pointed to diploid vegetative cells, which formed tetraploid zygotes and the immediate meiosis then gave rise to diploid progenies again. Apart from the type strain Phaffia rhodozyma CBS 5905, all the examined strains were able to sporulate.     

Annual life cycle and timing of male-egg production in the antColobopsis nipponicus (Wheeler)

Summary Life history parameters, including colony boundary, number of queens in a colony, seasonal change in colony-member composition and seasonal change in male-egg production were investigated for the arboreal antColobopsis nipponicus in the field. Colonies were shown to be typically monogynous and polydomous, with several different colonies inhabiting the same tree. The queen and workers overwinter only with larvae, which grow rapidly into new adults during early summer. Male-destined eggs were produced throughout the warm season with a conspicuous peak in summer that coincided with adult production. It is suggested that this might be related to seasonal changes in the food available to the queen.     

Expression of the yeast mevalonate kinase gene in trangenic tobacco

The coding region of the yeast mevalonate kinase gene (ERG12), under the control of the cauliflower mosaic virus (CaMV) 35S promoter, has been inserted in tobacco (Nicotiana tabacum cv. Paraguay Bell) using an Agrobacterium tumefaciens binary vector system. Integration and expression of the ERG12 chimaeric gene was demonstrated in several independent transformants in which specific mevalonate kinase (MK) activity in young plantlets was increased by about 60% on average. The expression of this MK gene was accompanied by phenotypical modifications, such as acceleration of regenerating processes, lateral bud growth, and peculiar flowering behaviour. A higher chlorophyll content all along the plant development, paralleled by an unusual starch accumulation in the leaves of young plantlets and, later, in roots of full-grown plants, was also detected. Overexpression of the MK gene led also to a stronger inhibition of cytokinin-induced plant growth by methyl jasmonate in transgenic plants. All these events may be interpreted as a possible modification of the hormonal balance in transgenic tobaccos.     

Using monte carlo simulation in life cycle assessment for electric and internal combustion vehicles

1 Background

The U.S. Government has encouraged shifting from internal combustion engine vehicles (ICEVs) to alternatively fueled vehicles such as electric vehicles (EVs) for three primary reasons: reducing oil dependence, reducing greenhouse gas emissions, and reducing Clean Air Act criteria pollutant emissions. In comparing these vehicles, there is uncertainty and variability in emission factors and performance variables, which cause wide variation in reported outputs.

2 Objectives

A model was developed to demonstrate the use of Monte Carlo simulation to predict life cycle emissions and energy consumption differences between the ICEV versus the EV on a per kilometer (km) traveled basis. Three EV technologies are considered: lead-acid, nickel-cadmium, and nickel metal hydride batteries.

3 Methods

Variables were identified to build life cycle inventories between the EVs and ICEV. Distributions were selected for each of the variables and input to Monte Carlo Simulation soft-ware called Crystal Ball 2000®.

4 Results and Discussion

All three EV options reduce U.S. oil dependence by shifting to domestic coal. The life cycle energy consumption per kilometer (km) driven for the EVs is comparable to the ICEV; however, there is wide variation in predicted energy values. The model predicts that all three EV technologies will likely increase oxides of sulfur and nitrogen as well as particulate matter emissions on a per km driven basis. The model shows a high probability that volatile organic compounds and carbon monoxide emissions are reduced with the use of EVs. Lead emissions are also predicted to increase for lead-acid battery EVs. The EV will not reduce greenhouse gas emissions substantially and may even increase them based on the current U.S. reliance on coal for electricity generation. The EV may benefit public health by relocating air pollutants from urban centers, where traffic is concentrated, to rural areas where electricity generation and mining generally occur. The use of Monte Carlo simulation in life cycle analysis is demonstrated to be an effective tool to provide further insight on the likelihood of emission outputs and energy consumption.