A novel transposon-based method for elimination of large bacterial plasmids

Elimination or modification of large plasmids of bacteria is often an essential step in functional analysis of these replicons. However, the conventional plasmid-curing procedures such as ethidium bromide and heat treatment are insufficient in many cases. For instance, curing of the large virulence plasmid of Salmonella Enteritidis 2,102 has failed when these treatments were applied. To overcome the difficulties, a two-step transposon-based curing method has been developed. First, a Tn10-based transposable unit carrying a Km(R) marker gene and the joined IS30 ends transposes from a replication deficient conjugative plasmid into the target replicon. Then, the inducible IS30 transposase, using the highly reactive joined IS30 ends, mediates deletions or gives rise to the loss of the target plasmid. The efficiency of the method has been monitored by the frequency of Km(S) colonies after induction of IS30 transposase, and it was shown that the Km(S) phenotype often accompanied the complete loss of the virulence plasmid or the formation of deletion derivatives. The procedure has been successfully applied also in removing the large virulence plasmid from enterotoxigenic Escherichia coli (ETEC O147), suggesting that the transposon-based method can be a useful tool for eliminating native plasmids in several bacteria.     

A simple model for a regulatory enzyme

A simple model for a regulatory enzyme is described which leads to relationships between the initial velocity of the catalysed reaction and the varied concentration of a substrate that are of the non-inflected or sigmoidal varieties without a maximum. The model assumes that the most relevant measure of protein configuration (itself determining the kinetic behaviour of the enzyme) is the apparent association constant, α_i, measured for the given fractional saturation of the ligand under investigation. It is further assumed that the original state of the protein in solution, α₀, is destabilized by an increment of energy, ΔG_p⁰, that is proportional to the fractional saturation of the enzyme by ligand so that the formation of a new configurational state, a,, can be represented by ?ΔG_p⁰ = RT ln $\text{α}{}_1\text{α}{}_0$. The rate or fractional saturation equation that can be derived from this model predicts both positive and negative cooperativity. Either equation can be transformed for linear representation, provided the maximum velocity or its equivalent maximum saturation is known, and estimates of α₀ and α_i (the apparent association constants at zero and complete saturation) can be obtained thereby. A procedure is also described by which an initial estimate of the maximum velocity or saturation can be improved. The model is tested by application to a range of data in the literature and it is shown to give fits to the data comparable in quality to those provided by the model of Monod, Wyman &; Changeux (1965).     

A regulatory model for spindle function during mitosis

Structural information on the mitotic spindle of Saccharomyces cerevisiae obtained from isolated whole mount preparations has shown that the spindle undergoes a two-fold increase in length whilst comprising only a single microtubule continuous between the two spindle pole bodies. Further data from immunofluorescence microscopy on the timing of anaphase B has suggested that microtubules do not directly produce the required force, but instead have a more passive role. Here a regulatory function for spindle microtubules during mitosis is explored and the existence of a non-microtubule force-generating system is postulated. Thus it is suggested that the continuous microtubules govern the velocity of anaphase B by providing a resistive force that is itself regulated by the number of microtubules and their rate of polymerization. On this basis a model for the forces acting on a spindle pole body during anaphase is proposed.     

A Markov-blanket-based model for gene regulatory network inference

An efficient two-step Markov blanket method for modeling and inferring complex regulatory networks from large-scale microarray data sets is presented. The inferred gene regulatory network (GRN) is based on the time series gene expression data capturing the underlying gene interactions. For constructing a highly accurate GRN, the proposed method performs: 1) discovery of a gene's Markov Blanket (MB), 2) formulation of a flexible measure to determine the network's quality, 3) efficient searching with the aid of a guided genetic algorithm, and 4) pruning to obtain a minimal set of correct interactions. Investigations are carried out using both synthetic as well as yeast cell cycle gene expression data sets. The realistic synthetic data sets validate the robustness of the method by varying topology, sample size, time delay, noise, vertex in-degree, and the presence of hidden nodes. It is shown that the proposed approach has excellent inferential capabilities and high accuracy even in the presence of noise. The gene network inferred from yeast cell cycle data is investigated for its biological relevance using well-known interactions, sequence analysis, motif patterns, and GO data. Further, novel interactions are predicted for the unknown genes of the network and their influence on other genes is also discussed.     

A piggyBac transposon-based mutagenesis system for the fission yeast Schizosaccharomyces pombe

The TTAA-specific transposon piggyBac (PB), originally isolated from the cabbage looper moth, Trichoplusia ni, has been utilized as an insertional mutagenesis tool in various eukaryotic organisms. Here, we show that PB transposes in the fission yeast Schizosaccharomyces pombe and leaves almost no footprints. We developed a PB-based mutagenesis system for S. pombe by constructing a strain with a selectable transposon excision marker and an integrated transposase gene. PB transposition in this strain has low chromosomal distribution bias as shown by deep sequencing-based insertion site mapping. Using this system, we obtained loss-of-function alleles of klp5 and klp6, and a gain-of-function allele of dam1 from a screen for mutants resistant to the microtubule-destabilizing drug thiabendazole. From another screen for cdc25-22 suppressors, we obtained multiple alleles of wee1 as expected. The success of these two screens demonstrated the usefulness of this PB-mediated mutagenesis tool for fission yeast.     

Structure and symmetry of B. stearothermophilus pyruvate dehydrogenase multienzyme complex and implications for eucaryote evolution.

The pyruvate dehydrogenase multienzyme complex was purified from B. stearothermophilus. The enzyme was found to be of high molecular weight (s_20,w⁰ = 75S) and to contain four different types of polypeptide chain, with subunit molecular weights estimated as 57,000, 54,000, 42,000 and 36,000, respectively. The subunit of molecular weight 57,000 was shown to derive from the lipoate acetyltransferase component (EC 2.3.1.12), whereas the subunit of molecular weight 54,000 was identified as lipoamide dehydrogenase (EC 1.6.4.3). The other two polypeptide chains are likely to be the subunits of pyruvate decarboxylase (EC 1.2.4.1). The purified lipoate acetyltransferase component was also of high molecular weight (s_20,w⁰ = 35S), and both it and the intact enzyme complex were readily visualized in negatively-stained preparations in the electron microscope. The lipoate acetyltransferase component, in particular, clearly showed the 5 fold, 3 fold and 2 fold rotation axes of a regular pentagonal dodecahedron with a diameter of 23 nm. The symmetry of the enzyme complex is apparently icosahedral. In all these properties the enzyme from B. stearothermophilus (Gram-positive) strikingly resembles the pyruvate dehydrogenase complex from the mitochondria of eucaryotic cells, and stands in marked contrast to the enzyme from E. coli (Gram-negative). A growing body of evidence indicates that the quaternary structures of enzymes from Gram-positive bacteria and the mitochondria of eucaryotes share distinctive common features that set them apart from the corresponding enzymes from Gram-negative bacteria. Adopting the serial endosymbiosis theory for the evolution of the mitochondrion, it follows that the forerunner of mitochondria may have been a Gram-positive rather than a Gram-negative bacterium.     

A sexual selection model for hominid evolution

The following paper develops a sexual selection model for the evolution of bipedal locomotion, canine reduction, brain enlargement, language and higher intelligence. The model involves an expansion of Darwin’s ideas about human evolution based on recent elaborations of sexual selection theory. Modern notions about intrasexual competition and female and male choice and their ecological correlates are summarized along with a new model for the role of sexual selection in speciation. Rapid evolution of bipedal locomotion as a male adaptation for nuptial feeding of females is proposed as a model for ape-hominid divergence through sexual selection; canine reduction is attributed to selection for associated epigamic displays. The analogy with male specialization through sexual selection speciation in hamadryas baboons is noted. Subsequent changes in female reproductive physiology are attributed to female competition for increased male parental investment during the time of early Homo andHomo erectus. The origin of higher intellectual and language abilities inHomo sapiens is attributed to male competition through technology and rule production to control resources and females; intellectual abilities involved in social manipulation are attributed to female competition for male parental investment and maintenance of polyandry. The course of hominid evolution is characterized as involving a trend from a promiscuous mating system toward increasing intensity of adaptations for male control of females, and by increasing intensity of female adaptation to maintain male parental investment while circumventing male control.     

A mathematical model for experimental gene evolution

The purpose of this paper is to determine the optimal mutation rate for random mutagenesis procedures used to make mutant libraries for subsequent screening. When the mutation rate is low, the probability of achieving a rare beneficial mutation is low. When the mutation rate is high, the probability of producing lethal mutations which result in loss of function is also high. We demonstrate that between these two extremes, an optimal mutation rate exists for experimental gene improvement. This rate depends strongly on the number of simultaneous mutations required for a beneficial change of the gene, but only weakly on the number of possible lethal mutations. This model predicts that when mutagenesis is performed at the optimum mutation rate, at least 63% (1--e(-1)) of the cloned genes in a mutant library will be non-functional.     

A mini-Mu transposon-based method for multiple DNA fragment integration into bacterial genomes

A method for construction of bacterial strains with multiple DNA inserted into their chromosomes has been developed based on the mini-Mu transposon and FLP/FRT recombination. Exogenous DNA can be integrated by Mu transposition with an FRT cassette containing selection marker and conditional replicative origin (R6Kγori). Subsequently, with the introduction of a helper plasmid bearing gene of FLP recombinase, drug-resistant selection marker is excised from the chromosome. Cells cured of the helper plasmid can undergo the next cycle of transposition and excision of selection marker. Each cycle can add further foreign gene(s) to the chromosome. As an example, resistance genes of chloramphenicol, tetracycline, and gentamicin were successively integrated into the chromosome of Escherichia coli BW25113 by three cycles of insertion and excision as described above. This method proved to be simple and time-saving, which could be applicable to a variety of microorganisms.     

A tetrameric iron superoxide dismutase from the eucaryote Tetrahymena pyriformis

An iron-containing superoxide dismutase has been purified from the protozoan Tetrahymena pyriformis. It has a molecular weight of 85,000 and is composed of four subunits of equal size. The tetramer contains 2.5 g atoms of ferric iron. Visible absorption and electron spin resonance spectra closely resemble those of other iron-containing superoxide dismutases. The amino acid sequence of the iron superoxide dismutase was determined. Each subunit is made up of 196 residues, corresponding to a molecular weight of 22,711. Comparison of the primary structure with the known sequences of other iron-containing superoxide dismutases reveals a relatively low degree of identity (33-34%). However, a higher percentage identity is found with mammalian manganese-containing superoxide dismutases (41-42%). The amino acid sequence is discussed in consideration of residues that may distinguish iron from manganese or dimeric from tetrameric superoxide dismutases.     

A self-attention model for inferring cooperativity between regulatory features

Deep learning has demonstrated its predictive power in modeling complex biological phenomena such as gene expression. The value of these models hinges not only on their accuracy, but also on the ability to extract biologically relevant information from the trained models. While there has been much recent work on developing feature attribution methods that discover the most important features for a given sequence, inferring cooperativity between regulatory elements, which is the hallmark of phenomena such as gene expression, remains an open problem. We present SATORI, a Self-ATtentiOn based model to detect Regulatory element Interactions. Our approach combines convolutional layers with a self-attention mechanism that helps us capture a global view of the landscape of interactions between regulatory elements in a sequence. A comprehensive evaluation demonstrates the ability of SATORI to identify numerous statistically significant TF-TF interactions, many of which have been previously reported. Our method is able to detect higher numbers of experimentally verified TF-TF interactions than existing methods, and has the advantage of not requiring a computationally expensive post-processing step. Finally, SATORI can be used for detection of any type of feature interaction in models that use a similar attention mechanism, and is not limited to the detection of TF-TF interactions.     

On the evolution of scale-free topologies with a gene regulatory network model

A novel approach to generating scale-free network topologies is introduced, based on an existing artificial gene regulatory network model. From this model, different interaction networks can be extracted, based on an activation threshold. By using an evolutionary computation approach, the model is allowed to evolve, in order to reach specific network statistical measures. The results obtained show that, when the model uses a duplication and divergence initialisation, such as seen in nature, the resulting regulation networks not only are closer in topology to scale-free networks, but also require only a few evolutionary cycles to achieve a satisfactory error value.     

A model for the evolution of assortative mating

Abstract: Many animals and plants show a correlation between the traits of the individuals in the mating pair, implying assortative mating. Given the ubiquity of assortative mating in nature, why and how it has evolved remain open questions. Here we attempt to answer these questions in those cases where the trait under assortment is the same in males and females. We consider the most favorable scenario for assortment to evolve, where the same trait is under assortment and viability selection. We find conditions for assortment to evolve using a multilocus formalism in a haploid population. Our results show how epistasis in fitness between the loci that control the focal trait is crucial for assortment to evolve. We then assume specific forms of assortment in haploids and diploids and study the limiting cases of selective and nonselective mating. We find that selection for increased assortment is weak and that where increased assortment is costly, it does not invade.     

A diffusion model for the evolution of metalloporphyrin

We give a mathematical model of the evolution of enzymes, the molecular structure of which is like metalloporphyrins or chlorophylls. We show, for this model, that even a small amount of these enzymes at the first stage is sufficient to increase and dominate the majority in a cell (like phenomena of gene fixation). For this purpose we use Kimura's equation, which has been explored for the study of evolution of genetics and has been known as a neutral theory of molecular evolution. Our model is a non-linear, non-equilibrium and non-closed (open to the external world) model.     

A model of evolution for accumulating genetic information

By taking into account recent knowledge of multigene families and other repetitive DNA sequences, a model of evolution by gene duplication for accumulating genetic information is studied. Genetic information is defined as the sum of distinct functions that the gene family can perform. A coefficient, "genetic diversity" is defined and used in this study, that is highly correlated with genetic information. Initially, a multigene family with a few gene copies is assumed, and natural selection starts to work on this gene family to increase genetic diversity contained in the gene family. As an important mechanism, unequal crossing-over is incorporated. Together with mutation, it is responsible for supplying genetic variability among individuals for selection to work. A specific model, in which individuals with less genetic diversity are selectively disadvantageous, has been studied in detail. Through approximate theoretical analysis and extensive Monte Carlo studies, it has been shown that the system is an extremely efficient way to accumulate genetic information. For attaining one gene, the genetic load is much smaller under this model than under the traditional model of natural selection. The model may be applied to the process of origin of multigene families with diverse copy members such as those of immunoglobulin or cytochrome P450. In general, the process of creating new genes by duplication might be somewhere between the present and the traditional models.     

A Sleeping Beauty DNA transposon-based genetic sensor for functional screening of vitamin D3 analogues

Background  

Analogues of vitamin D3 are extensively used in the treatment of various illnesses, such as osteoporosis, inflammatory skin diseases, and cancer. Functional testing of new vitamin D3 analogues and formulations for improved systemic and topical administration is supported by sensitive screening methods that allow a comparative evaluation of drug properties. As a new tool in functional screening of vitamin D3 analogues, we describe a genomically integratable sensor for sensitive drug detection. This system facilitates assessment of the pharmacokinetic and pharmadynamic properties of vitamin D3 analogues. The tri-cistronic genetic sensor encodes a drug-sensoring protein, a reporter protein expressed from an activated sensor-responsive promoter, and a resistance marker.