Speculations on the initiation of chromosome replication in Escherichia coli: the dualism hypothesis

Presence of mycobacterial L-forms in human blood: Challenge of BCG vaccination

Possible persistence of bacteria in human blood as cell wall deficient forms (L-forms) represents a top research priority for microbiologists. Application of live BCG vaccine and L-form transformation of vaccine strain may display a new intriguing aspect concerning the opportunity for occurrence of unpredictable colonization inside the human body by unusual microbial life forms. L-form cultures were isolated from 141 blood samples of people previously vaccinated with BCG, none with a history of exposure to tuberculosis. Innovative methodology to access the unusual L-form elements derived from human blood was developed. The methodology outlines the path of transformation of non- cultivable L-form element to cultivable bacteria and their adaptation for growth in vitro. All isolates showed typical L-forms growth features ("fried eggs" colonies and biofilm). Electron microscopy revealed morphology evidencing peculiar characteristics of bacterial L-form population (cell wall deficient polymorphic elements of variable shape and size). Regular detection of acid fast bacteria in smears of isolated blood L-form cultures, led us to start their identification by using specific Mycobactrium spp. genetic tests. Forty five of 97 genetically tested blood cultures provided specific positive signals for mycobacteria, confirmed by at least one of the 3 specific assays (16S rRNA PCR; IS6110 Real Time PCR and spoligotyping). In conclusion, the obtained genetic evidence suggests that these L-forms are of mycobacterial origin. As the investigated people had been vaccinated with BCG, we can assume that the identified mycobacterial L-forms may be produced by persisting live BCG vaccine.

Why do bacteria divide?

The problem of not only how but also why cells divide can be tackled using recent ideas. One idea from the origins of life – Life as independent of its constituents – is that a living entity like a cell is a particular pattern of connectivity between its constituents. This means that if the growing cell were just to get bigger the average connectivity between its constituents per unit mass – its cellular connectivity – would decrease and the cell would lose its identity. The solution is division which restores connectivity. The corollary is that the cell senses decreasing cellular connectivity and uses this information to trigger division. A second idea from phenotypic diversity – Life on the Scales of Equilibria – is that a bacterium must find strategies that allow it to both survive and grow. This means that it has learnt to reconcile the opposing constraints that these strategies impose. The solution is that the cell cycle generates daughter cells with different phenotypes based on sufficiently complex equilibrium (E) and non-equilibrium (NE) cellular compounds and structures appropriate for survival and growth, respectively, alias ‘hyperstructures.’ The corollary is that the cell senses both the quantity of E material and the intensity of use of NE material and then uses this information to trigger the cell cycle. A third idea from artificial intelligence – Competitive Coherence – is that a cell selects the active subset of elements that actively determine its phenotype from a much larger set of available elements. This means that the selection of an active subset of a specific size and composition must be done so as to generate both a coherent cell state, in which the cell’s contents work together harmoniously, and a coherent sequence of cell states, each coherent with respect to itself and to an unpredictable environment. The solution is the use of a range of mechanisms ranging from hyperstructure dynamics to the cell cycle itself.

What properties of life are universal? Substance-free, scale-free life

One approach to answering the question of what properties of life are universal is to try to answer the question of what are the essential properties of biology's best understood model organism, Escherichia coli. One of these properties is competitive coherence whereby E. coli reconciles the generation of a coherent cell state with the generation of a coherent sequence of cell states. The second property is differentiation which occurs ineluctably when E. coli divides. The third property is dualism which is how E. coli navigates between the two main attractors of phenotypes - survival and growth - which are based on quasi-equilibrium and non-equilibrium structures, respectively. The fourth property is complementarity: the interactions between the molecules and macromolecules that constitute E. coli protect them from degradation and confer new properties. The fifth property is multi-scale existence: E. coli exists at levels extending from the bacterium to the global super-organism. The sixth property is maintenance of connectivity; growth alters connectivity and, in the case of E. coli, alters the phenotype. The seventh property is the combination of intensity sensing (the constituents can work no harder) and quantity sensing (too much unused material has been made); this combination is used by E. coli to drive its cell cycle and thereby generate an environmentally adapted population of cells. The eighth property is subjective experience which exists even at the level of a single E. coli but which only becomes important at higher levels of organisation. I propose that the search for life at other times and in other places be based on the above eight universal properties and be independent of both particular substances and spatio-temporal scales.

New approaches to the problem of generating coherent, reproducible phenotypes

Fundamental, unresolved questions in biology include how a bacterium generates coherent phenotypes, how a population of bacteria generates a coherent set of such phenotypes, how the cell cycle is regulated and how life arose. To try to help answer these questions, we have developed the concepts of hyperstructures, competitive coherence and life on the scales of equilibria. Hyperstructures are large assemblies of macromolecules that perform functions. Competitive coherence describes the way in which organisations such as cells select a subset of their constituents to be active in determining their behaviour; this selection results from a competition between a process that is responsible for a historical coherence and another process responsible for coherence with the current environment. Life on the scales of equilibria describes how bacteria depend on the cell cycle to negotiate phenotype space and, in particular, to satisfy the conflicting constraints of having to grow in favourable conditions so as to reproduce yet not grow in hostile conditions so as to survive. Both competitive coherence and life on the scales deal with the problem of reconciling conflicting constraints. Here, we bring together these concepts in the common framework of hyperstructures and make predictions that may be tested using a learning program, Coco, and secondary ion mass spectrometry.

Plasmids as scribbling pads for operon formation and propagation

Many bacterial genes are in operons and the process whereby operons are formed is therefore fundamental. To help elucidate this process, we propose in the Scribbling Pad hypothesis that bacteria have been constantly using plasmids for genetic experimentation and, in particular, for the construction of operons. This hypothesis simultaneously solves the problems of the creation of operons and the way operons are propagated. We cite results in the literature to support the hypothesis and make experimental predictions to test it.

Chromosome Replication in Escherichia coli: Life on the Scales

At all levels of Life, systems evolve on the 'scales of equilibria'. At the level of bacteria, the individual cell must favor one of two opposing strategies and either take risks to grow or avoid risks to survive. It has been proposed in the Dualism hypothesis that the growth and survival strategies depend on non-equilibrium and equilibrium hyperstructures, respectively. It has been further proposed that the cell cycle itself is the way cells manage to balance the ratios of these types of hyperstructure so as to achieve the compromise solution of living on the two scales. Here, we attempt to re-interpret a major event, the initiation of chromosome replication in Escherichia coli, in the light of scales of equilibria. This entails thinking in terms of hyperstructures as responsible for intensity sensing and quantity sensing and how this sensing might help explain the role of the DnaA protein in initiation of replication. We outline experiments and an automaton approach to the cell cycle that should test and refine the scales concept.

How did metabolism and genetic replication get married?

In addressing the question of the origins of the relationship between metabolism and genetic replication, we consider the implications of a prebiotic, fission-fusion, ecology of composomes. We emphasise the importance of structures and non-specific catalysis on interfaces created by structures. From the assumption that the bells of the metabolism-replication wedding still echo in modern cells, we argue that the functional assemblies of macromolecules that constitute hyperstructures in modern bacteria are the descendants of composomes and that interactions at the hyperstructure level control the cell cycle. A better understanding of the cell cycle should help understand the original metabolism-replication marriage. This understanding requires new concepts such as metabolic signalling, metabolic sensing and Dualism, which entails the cells in a population varying the ratios of equilibrium to non-equilibrium hyperstructures so as to maximise the chances of both survival and growth. A deeper understanding of the coupling between metabolism and replication may also require a new view of cell cycle functions in creating a coherent diversity of phenotypes and in narrowing the combinatorial catalytic space. To take these ideas into account, we propose the Accordion model in which a dynamic interface between lipid domains catalysed monomer to polymer reactions and became decorated with peptides and nucleotides that favoured their own catalysis. In this model, metabolism, replication, differentiation and division all began together at the interface between extended equilibrium structures within protocells or composomes.

Hyperstructure interactions influence the virulence of the type 3 secretion system in yersiniae and other bacteria

A paradigm shift in our thinking about the intricacies of the host-parasite interaction is required that considers bacterial structures and their relationship to bacterial pathogenesis. It has been proposed that interactions between extended macromolecular assemblies, termed hyperstructures (which include multiprotein complexes), determine bacterial phenotypes. In particular, it has been proposed that hyperstructures can alter virulence. Two such hyperstructures have been characterized in both pathogenic and nonpathogenic bacteria. Present within a number of both human and plant Gram-negative pathogens is the type 3 secretion system (T3SS) injectisome which in some bacteria serves to inject toxic effector proteins directly into targeted host cells resulting in their paralysis and eventual death (but which in other bacteria prevents the death of the host). The injectisome itself comprises multiple protein subunits, which are all essential for its function. The degradosome is another multiprotein complex thought to be involved in cooperative RNA decay and processing of mRNA transcripts and has been very well characterized in nonpathogenic Escherichia coli. Recently, experimental evidence has suggested that a degradosome exists in the yersiniae as well and that its interactions within the pathogens modulate their virulence. Here, we explore the possibility that certain interactions between hyperstructures, like the T3SS and the degradosome, can ultimately influence the virulence potential of the pathogen based upon the physical locations of hyperstructures within the cell.