Development of genetic markers in cyanobacteria and stability of genetically marked strains in soil

Reporter marker GUS (-glucuronidase gene from Escherichia coli) and luc operon from the American firefly were introduced into cyanobacteria and the stability of these markers in soil was examined. To transfer the integrational vector into cyanobacteria, the genomic DNA library of Synechocystis sp. or Anabaena cylindrica maintained in pBR 322, pCY 100 and pCY 101 were transformed with HB 101 containing pRL 528 and selected for Cm^r and Amp^r. These clones of HB 101 containing pRL 528 and the vectors carrying different cyanobacterial chromosomal DNA fragments were used for triparental mating with HB 101 [pRK 2013/pRK 2073] and cyanobacteria. The frequency of transconjugants for integrational vectors was between 2.1 × 10^–5 and 4.0 × 10^–4. The transfer frequency of RSF 1010 based vectors (pDSK 519 and pCY 106) was 1.0–4.5 × 10^–4 in Synechocystis sp. whereas A. cylindrica failed to maintain these vectors. Low frequency transfer (2.0–2.3 × 10^–6) of RK 2 based vectors pVK 100 and pCY 104 was observed in A. cylindrica but these were unable to replicate in Synechocystis sp. The vectors in general were stable at least by 74.9% for 60 days of incubation in BG-11 medium. The markers were less stable in A. cylindrica (74.9–84.2%) compared to Synechocystis sp. (80.1–88.8%) at 60 days of incubation. Integrational vectors were almost 85% stable in both the strains. The RK 2 derivative of pCY 104 was less stable in A. cylindrica (74.9–77.3%) than the RSF 1010-based vector pCY 106 in Synechocystis sp. (80.1–81.0%). A maximum of 64.7% of the markers were lost in soil. The chromosomal markers through integrational vectors were found to be highly stable and 68.2–72.7% of these markers were retained in cyanobacteria at 60 days of incubation. Plasmid markers were less stable, with a loss of 64.7–48.7% at the end of the experiment. In A. cylindrica 58–65% of the RK 2 vector was lost whereas in Synechocystis sp. 49–61% of RSF 1010 was lost at 60 days of incubation.     

Protein domain definition should allow for conditional disorder

Abstract: Proteins are often classified in a binary fashion as either structured or disordered. However this approach has several deficits. Firstly, protein folding is always conditional on the physiochemical environment. A protein which is structured in some circumstances will be disordered in others. Secondly, it hides a fundamental asymmetry in behavior. While all structured proteins can be unfolded through a change in environment, not all disordered proteins have the capacity for folding. Failure to accommodate these complexities confuses the definition of both protein structural domains and intrinsically disordered regions. We illustrate these points with an experimental study of a family of small binding domains, drawn from the RNA polymerase of mumps virus and its closest relatives. Assessed at face value the domains fall on a structural continuum, with folded, partially folded, and near unstructured members. Yet the disorder present in the family is conditional, and these closely related polypeptides can access the same folded state under appropriate conditions. Any heuristic definition of the protein domain emphasizing conformational stability divides this domain family in two, in a way that makes no biological sense. Structural domains would be better defined by their ability to adopt a specific tertiary structure: a structure that may or may not be realized, dependent on the circumstances. This explicitly allows for the conditional nature of protein folding, and more clearly demarcates structural domains from intrinsically disordered regions that may function without folding.     

Population dynamics of three songbird species in a nestbox population in Central Europe show effects of density,climate and competitive interactions

Unravelling the contributions of density‐dependent and density‐independent factors in determining species population dynamics is a challenge, especially if the two factors interact. One approach is to apply stochastic population models to long‐term data, yet few studies have included interactions between density‐dependent and density‐independent factors, or explored more than one type of stochastic population model. However, both are important because model choice critically affects inference on population dynamics and stability. Here, we used a multiple models approach and applied log‐linear and non‐linear stochastic population models to time series (spanning 29 years) on the population growth rates of Blue Tits Cyanistes caeruleus, Great Tits Parus major and Pied Flycatchers Ficedula hypoleuca breeding in two nestbox populations in southern Germany. We focused on the roles of climate conditions and intra‐ and interspecific competition in determining population growth rates. Density dependence was evident in all populations. For Blue Tits in one population and for Great Tits in both populations, addition of a density‐independent factor improved model fit. At one location, Blue Tit population growth rate increased following warmer winters, whereas Great Tit population growth rates decreased following warmer springs. Importantly, Great Tit population growth rate also decreased following years of high Blue Tit abundance, but not vice versa. This finding is consistent with asymmetric interspecific competition and implies that competition could carry over to influence population dynamics. At the other location, Great Tit population growth rate decreased following years of high Pied Flycatcher abundance but only when Great Tit population numbers were low, illustrating that the roles of density‐dependent and density‐independent factors are not necessarily mutually exclusive. The dynamics of this Great Tit population, in contrast to the other populations, were unstable and chaotic, raising the question of whether interactions between density‐dependent and density‐independent factors play a role in determining the (in) stability of the dynamics of species populations.     

2-C-Methyl-d-erythritol. Produced in plants,forms aerosols in the atmosphere. An alternative pathway in isoprenoid biosynthesis

2-C-Methyltetritols, or 2-methyl-1,2,3,4-butanetetraols, which exist as four stereoisomers, are found to be present in the atmosphere above the Amazonian rainforest. 2-C-methyl-d-erythritol was originally isolated from Convolvulus glomeratus and later synthesized enantiomerically pure. It has been claimed that these compounds are produced from isoprene by radical oxidation in the atmosphere. More recently, detailed analysis has shown that the mixture of stereoisomers from forests in both Brazil and Sweden contains unequal amounts of enantiomers. This shows that the oxidation must be due to enzymatic activity in plants. A review of the history of these compounds, synthesis and the significance of stereochemistry is given. Moreover, the significance of 2-C-methyl-d-erythritol for the non-mevalonate route to isoprenoids is briefly discussed.     

A Durable Alternative for Proton‐Exchange Membranes: Sulfonated Poly(Benzoxazole Thioether Sulfone)s

To develop a durable proton‐exchange membrane (PEM) for fuel‐cell applications, a series of sulfonated poly(benzoxazole thioether sulfone)s ( SPTESBOs) are designed and synthesized, with anticipated good dimensional stability (via acid–base cross linking), improved oxidative stability against free radicals (via incorporation of thioether groups), and enhanced inherent stability (via elimination of unstable end groups) of the backbone. The structures and the degree of sulfonation of the copolymers are characterized using Fourier‐transform infrared spectroscopy, and nuclear magnetic resonance spectroscopy (¹H NMR and ¹⁹F NMR). The electrochemical stabilities of the monomers are examined using cyclic voltammetry in a typical three‐electrode cell configuration. The physicochemical properties of the membranes vital to fuel‐cell performance are also carefully evaluated under conditions relevant to fuel‐cell operation, including chemical and thermal stability, proton conductivity, solubility in different solvents, water uptake, and swelling ratio. The new membranes exhibit low dimensional change at 25°C to 90°C and excellent thermal stability up to 250°C. Upon elimination of unstable end groups, the co‐polymers display enhanced chemical resistance and oxidative stability in Fenton's test. Further, the SPTESBO‐HFB‐60 (HFB‐60=hexafluorobenzene, 60 mol% sulfone) membrane displays comparable fuel‐cell performance to that of an NRE 212 membrane at 80°C under fully humidified condition, suggesting that the new membranes have the potential to be more durable but less expensive for fuel‐cell applications.     

Developability studies before initiation of process development

Monoclonal antibodies constitute a robust class of therapeutic proteins. Their stability, resistance to stress conditions and high solubility have allowed the successful development and commercialization of over 40 antibody-based drugs. Although mAbs enjoy a relatively high probability of success compared with other therapeutic proteins, examples of projects that are suspended due to the instability of the molecule are not uncommon. Developability assessment studies have therefore been devised to identify early during process development problems associated with stability, solubility that is insufficient to meet expected dosing or sensitivity to stress. This set of experiments includes short-term stability studies at 2−8 þC, 25 þC and 40 þC, freeze-thaw studies, limited forced degradation studies and determination of the viscosity of high concentration samples. We present here three case studies reflecting three typical outcomes: (1) no major or unexpected degradation is found and the study results are used to inform early identification of degradation pathways and potential critical quality attributes within the Quality by Design framework defined by US Food and Drug Administration guidance documents; (2) identification of specific degradation pathway(s) that do not affect potency of the molecule, with subsequent definition of proper process control and formulation strategies; and (3) identification of degradation that affects potency, resulting in program termination and reallocation of resources.     

Differential susceptibility epidemic models

We formulate compartmental differential susceptibility (DS) susceptible-infective-removed (SIR) models by dividing the susceptible population into multiple subgroups according to the susceptibility of individuals in each group. We analyze the impact of disease-induced mortality in the situations where the number of contacts per individual is either constant or proportional to the total population. We derive an explicit formula for the reproductive number of infection for each model by investigating the local stability of the infection-free equilibrium. We further prove that the infection-free equilibrium of each model is globally asymptotically stable by qualitative analysis of the dynamics of the model system and by utilizing an appropriately chosen Liapunov function. We show that if the reproductive number is greater than one, then there exists a unique endemic equilibrium for all of the DS models studied in this paper. We prove that the endemic equilibrium is locally asymptotically stable for the models with no disease-induced mortality and the models with contact numbers proportional to the total population. We also provide sufficient conditions for the stability of the endemic equilibrium for other situations. We briefly discuss applications of the DS models to optimal vaccine strategies and the connections between the DS models and predator-prey models with multiple prey populations or host-parasitic interaction models with multiple hosts are also given.This research was partially supported by the Department of Energy under contracts W-7405-ENG-36 and the Applied Mathematical Sciences Program KC-07-01-01.     

Genetic selection for protein solubility enabled by the folding quality control feature of the twin-arginine translocation pathway

One of the most vexing problems facing structural genomics efforts and the biotechnology enterprise in general is the inability to efficiently produce functional proteins due to poor folding and insolubility. Additionally, protein misfolding and aggregation has been linked to a number of human diseases, such as Alzheimer's. Thus, a robust cellular assay that allows for direct monitoring, manipulation, and improvement of protein folding could have a profound impact. We report the development and characterization of a genetic selection for protein folding and solubility in living bacterial cells. The basis for this assay is the observation that protein transport through the bacterial twin-arginine translocation (Tat) pathway depends on correct folding of the protein prior to transport. In this system, a test protein is expressed as a tripartite fusion between an N-terminal Tat signal peptide and a C-terminal TEM1 beta-lactamase reporter protein. We demonstrate that survival of Escherichia coli cells on selective medium expressing a Tat-targeted test protein/beta-lactamase fusion correlates with the solubility of the test protein. Using this assay, we isolated solubility-enhanced variants of the Alzheimer's Abeta42 peptide from a large combinatorial library of Abeta42 sequences, thereby confirming that our assay is a highly effective selection tool for soluble proteins. By allowing the bacterial Tat pathway to exert folding quality control on expressed target protein sequences, we have generated a powerful tool for monitoring protein folding and solubility in living cells, for molecular engineering of solubility-enhanced proteins or for the isolation of factors and/or cellular conditions that stabilize aggregation-prone proteins.     

Nature of selective constraints on synonymous codon usage of rice differs in GC-poor and GC-rich genes

Synonymous codon usage and cellular tRNA abundance are thought to be co-evolved in optimizing translational efficiencies in highly expressed genes. Here in this communication by taking the advantage of publicly available gene expression data of rice and Arabidopsis we demonstrated that tRNA gene copy number is not the only driving force favoring translational selection in all highly expressed genes of rice. We found that forces favoring translational selection differ between GC-rich and GC-poor classes of genes. Supporting our results we also showed that, in highly expressed genes of GC-poor class there is a perfect correspondence between majority of preferred codons and tRNA gene copy number that confers translational efficiencies to this group of genes. However, tRNA gene copy number is not fully consistent with models of translational selection in GC-rich group of genes, where constraints on mRNA secondary structure play a role to optimize codon usage in highly expressed genes.     

Stability Study of Crude Dextransucrase from <Emphasis Type="Italic">Leuconostoc citreum</Emphasis> NRRL B-742

In the present work, the stability of crude dextransucrase from Leuconostoc citreum B-742 was evaluated in synthetic and in cashew apple juice culture broth. Optimum stability conditions for dextransucrase from L. citreum B-742 were different from the reported for its parental industrial strain enzyme (L. mesenteroides B-512F). Crude dextransucrase, from L. citreum B-742, produced using cashew apple juice as substrate, presented higher stability than the crude enzyme produced using synthetic culture medium, showing the same behavior previously reported for dextransucrase from L. mesenteroides B-512F. The crude enzyme presented good stability in cashew apple juice for 48 h at 25°C and pH 6.5.