Model‐based high cell density cultivation of Rhodospirillum rubrum under respiratory dark conditions

The potential of facultative photosynthetic bacteria as producers of photosynthetic pigments, vitamins, coenzymes and other valuable products has been recognized for decades. However, mass cultivation under photosynthetic conditions is generally inefficient due to the inevitable limitation of light supply when cell densities become very high. The previous development of a new cultivation process for maximal expression of photosynthetic genes under semi‐aerobic dark conditions in common bioreactors offers a new perspective for utilizing the facultative photosynthetic bacterium Rhodospirillum rubrum for large‐scale applications. Based on this cultivation system, the present study aimed in determining the maximal achievable cell density of R. rubrum in a bioreactor, thereby providing a major milestone on the way to industrial bioprocesses. As a starting point, we focus on aerobic growth due to higher growth rates and more facile process control under this condition, with the option to extend the process by an anaerobic production phase. Process design and optimization were supported by an unstructured computational process model, based on mixed‐substrate kinetics. Key parameters for growth and process control were determined in shake‐flask experiments or estimated by simulation studies. For fed‐batch cultivation, a computer‐controlled exponential feed algorithm in combination with a pH‐stat element was implemented. As a result, a maximal cell density of 59 g cell dry weight (CDW) L^?1 was obtained, representing so far not attainable cell densities for photosynthetic bacteria. The applied exponential fed‐batch methodology therefore enters a range which is commonly employed for industrial applications with microbial cells. The biochemical analysis of high cell density cultures revealed metabolic imbalances, such as the accumulation and excretion of tetrapyrrole intermediates of the bacteriochlorophyll biosynthetic pathway. Biotechnol. Bioeng. 2010. 105: 729–739. © 2009 Wiley Periodicals, Inc.     

Measuring population differentiation using GST or D? A simulation study with microsatellite DNA markers under a finite island model and nonequilibrium conditions

The genetic differentiation of populations is a key parameter in population genetic investigations. Wright's F(ST) (and its relatives such as G(ST) ) has been a standard measure of differentiation. However, the deficiencies of these indexes have been increasingly realized in recent years, leading to some new measures being proposed, such as Jost's D (Molecular Ecology, 2008; 17, 4015). The existence of these new metrics has stimulated considerable debate and induced some confusion on which statistics should be used for estimating population differentiation. Here, we report a simulation study with neutral microsatellite DNA loci under a finite island model to compare the performance of G(ST) and D, particularly under nonequilibrium conditions. Our results suggest that there exist fundamental differences between the two statistics, and neither G(ST) nor D operates satisfactorily in all situations for quantifying differentiation. D is very sensitive to mutation models but G(ST) noticeably less so, which limits D's utility in population parameter estimation and comparisons across genetic markers. Also, the initial heterozygosity of the starting populations has some important effects on both the individual behaviours of G(ST) and D and their relative behaviours in early differentiation, and this effect is much greater for D than G(ST) . In the early stages of differentiation, when initial heterozygosity is relatively low (<0.5, if the number of subpopulations is large), G(ST) increases faster than D; the opposite is true when initial heterozygosity is high. Therefore, the state of the ancestral population appears to have some lasting impacts on population differentiation. In general, G(ST) can measure differentiation fairly well when heterozygosity is low whatever the causes; however, when heterozygosity is high (e.g. as a result of either high mutation rate or high initial heterozygosity) and gene flow is moderate to strong, G(ST) fails to measure differentiation. Interestingly, when population size is not very small (e.g. N ≥ 1000), G(ST) measures differentiation quite linearly with time over a long duration when gene flow is absent or very weak even if mutation rate is not low (e.g. μ = 0.001). In contrast, D, as a differentiation measure, performs rather robustly in all these situations. In practice, both indexes should be calculated and the relative levels of heterozygosities (especially H(S) ) and gene flow taken into account. We suggest that a comparison of the two indexes can generate useful insights into the evolutionary processes that influence population differentiation.     

Proteome analysis of secreted proteins during osteoclast differentiation using two different methods: two-dimensional electrophoresis and isotope-coded affinity tags analysis with two-dimensional chromatography

Bone is maintained by two cell types, bone-forming osteoblasts and bone-resorbing osteoclasts. Osteoblasts express two factors, osteoprotegerin and receptor activator of NF-kappaB ligand (RANKL), inhibiting and promoting osteoclast differentiation, respectively. In contrast, modulators of bone resorption expressed by osteoclasts have not been so well studied enough. In the present study, we demonstrate proteome analysis of secreted proteins during osteoclast differentiation to elucidate the molecular mechanism of bone resorption and bone remodeling. To achieve this objective, we chose RAW264.7 cells with RANKL as a homogeneous osteoclast differentiation model and used two methods, two-dimensional gel electrophoresis (2-DE) and isotope-coded affinity tags (ICAT) analysis with two-dimensional liquid chromatography. We found 23 spots in 2-DE and 19 proteins in ICAT analysis which were expressed differently during osteoclast differentiation. These two methods gave us closely related but different information about proteins, suggesting they are complementary or at least supplementary methods at present. Cathepsins, osteopontin, legumain, macrophage inflammatory protein-1alpha, and other proteins were observed as up- or down-regulated proteins and are discussed in the context of osteoclast differentiation and bone resorption. In addition to confirming previous observations, this study indicates novel proteins related to osteoclast differentiation which are potential therapeutic targets for the treatment of bone diseases, such as osteoporosis.     

PHYTOREMEDIATION IN EDUCATION: TEXTILE DYE TEACHING EXPERIMENTS

Phytoremediation, the use of plants to clean up contaminated soil and water, has a wide range of applications and advantages, and can be extended to scientific education. Phytoremediation of textile dyes can be used as a scientific experiment or demonstration in teaching laboratories of middle school, high school and college students. In the experiments that we developed, students were involved in a hands-on activity where they were able to learn about phytoremediation concepts. Experiments were set up with 20—40 mg L^?1 dye solutions of different colors. Students can be involved in the set up process and may be involved in the experimental design. In its simplest forms, they use two-week-old sunflower seedlings and place them into a test tube of known volume of dye solution. Color change and/ or dye disappearance can be monitored by visual comparison or with a spectrophotometer. Intensity and extent of the lab work depends on student's educational level, and time constraints. Among the many dyes tested, Evan's Blue proved to be the most readily decolorized azo dye. Results could be observed within 1–2 hours. From our experience, dye phytoremediation experiments are suitable and easy to understand by both college and middle school students. These experiments help visual learners, as students compare the color of the dye solution before and after the plant application. In general, simple phytoremediation experiments of this kind can be introduced in many classes including biology, biochemistry and ecological engineering. This paper presents success stories of teaching phytoremediation to middle school and college students.     

Transcription‐blocking DNA damage in aging: a mechanism for hormesis

Recent evidence from studies on DNA repair systems that are implicated in accelerated aging syndromes, have revealed a mechanism through which low levels of persistent damage might exert beneficial effects for both cancer prevention and longevity assurance. Beneficial effects of adaptive responses to low doses of insults that in higher concentrations show adverse effects are generally referred to as hormesis. There are numerous examples of hormetic effects ranging from mild stresses of irradiation to heat stress, hypergravity, pro‐oxidants, or food restriction. Although the notion of hormesis is supported by many observations in various organisms, at least two major caveats have thus far prevented the application of hormesis for disease prevention in humans. First, the very nature of hormesis using toxins as a treatment regimen harbors the inherent danger of detrimental consequences. Second, the molecular mechanisms through which insults might exert beneficial effects have thus far remained elusive. Here, I discuss a mechanistic basis for hormesis and its implications for cancer prevention and healthy aging.     

Treatment of peri-implantitis with deproteinised bovine bone and tetracycline: a case report

doi: 10.1111/j.1741‐2358.2011.00470.x
Treatment of peri‐implantitis with deproteinised bovine bone and tetracycline: a case report Objective: The objective of this study is to evaluate the use of tetracycline in a patient with peri‐implantitis. Background: Tetracycline is widely used in regeneration procedures owing to its positive effect with bone graft material, regeneration of extraction socket bone and its traditional antibacterial effect. However, there have been limited reports on bone graft procedures combined with tetracycline application in peri‐implantitis. Materials and methods: The detoxification procedure was performed with chlorhexidine and tetracycline, and the defect area was grafted with a 4:1 volume ratio combination of deproteinised bovine bone mixed with tetracycline. Results: Soft tissue healing was uneventful, and the treatment yielded improved clinical results with a reduced probing depth. Conclusions: Tetracycline was used in the treatment of peri‐implantitis by burnishing the implant surface and applying tetracycline in conjunction with an osseous graft to the defect area. The treatment of peri‐implantitis with tetracycline seemed to show improved clinical results up to the follow‐up period.     

Evaluation of four protocols for the detection and isolation of thermophilic Campylobacter from different matrices

Aims: To identify the optimal method for detection of thermophilic Campylobacter at various stages in the food chain, three culture‐dependent (direct plating, Bolton and Preston enrichment) and one molecular method (qPCR) were compared for three matrices: poultry faeces (n = 38), neck skin (n = 38) and packed fresh meat (n = 38). Methods and Results: Direct plating was compared to enrichment with either Bolton broth (ISO 10272:2006‐1) or Preston broth, followed by culture on two selective agars: modified charcoal cefoperazone desoxycholate agar (mCCDA) and Campyfood agar (CFA). Direct plating on CFA provided the highest number of positive samples for faeces and neck skin samples. Enrichment of meat samples in Preston followed by plating on mCCDA gave significantly higher number of positives than the recommended ISO method. Real‐time qPCR yielded the highest number of positive samples. Conclusion: Direct plating on CFA is optimal for Campylobacter isolation from highly contaminated samples such as faeces or neck skin. When enrichment is required for less‐contaminated samples such as poultry meat, Preston broth is the best choice. The maximum of detectable cells predicted by qPCR is a sensitive and powerful evaluation tool. Significance and impact of the study: The recommended ISO protocol had the least sensitivity, and application of this method could result in underreporting. We detected a high prevalence of Campylobacter on packed meat to be distributed, which suggests this is still a significant risk for consumers.     

Temperature dependence of predation depends on the relative performance of predators and prey

The temperature dependence of predation rates is a key issue for understanding and predicting the responses of ecosystems to climate change. Using a simple mechanistic model, we demonstrate that differences in the relative performances of predator and prey can cause strong threshold effects in the temperature dependence of attack rates. Empirical data on the attack rate of northern pike (Esox lucius) feeding on brown trout (Salmo trutta) confirm this result. Attack rates fell sharply below a threshold temperature of +11°C, which corresponded to a shift in relative performance of pike and brown trout with respect to maximum attack and escape swimming speeds. The average attack speed of pike was an order of magnitude lower than the escape speed of brown trout at 5°C, but approximately equal at temperatures above 11°C. Thresholds in the temperature dependence of ecological rates can create tipping points in the responses of ecosystems to increasing temperatures. Thus, identifying thresholds is crucial when predicting future effects of climate warming.