Hypothesis: hyperstructures regulate bacterial structure and the cell cycle

Hunting the Cell Cycle Snark

In this very personal hunt for the meaning of the bacterial cell cycle, the snark, I briefly revisit and update some of the mechanisms we and many others have proposed to regulate the bacterial cell cycle. These mechanisms, which include the dynamics of calcium, membranes, hyperstructures, and networks, are based on physical and physico-chemical concepts such as ion condensation, phase transition, crowding, liquid crystal immiscibility, collective vibrational modes, reptation, and water availability. I draw on ideas from subjects such as the 'prebiotic ecology' and phenotypic diversity to help with the hunt. Given the fundamental nature of the snark, I would expect that its capture would make sense of other parts of biology. The route, therefore, followed by the hunt has involved trying to answer questions like "why do cells replicate their DNA?", "why is DNA replication semi-conservative?", "why is DNA a double helix?", "why do cells divide?", "is cell division a spandrel?", and "how are catabolism and anabolism balanced?". Here, I propose some relatively unexplored, experimental approaches to testing snark-related hypotheses and, finally, I propose some possibly original ideas about DNA packing, about phase separations, and about computing with populations of virtual bacteria.

Membrane-localized expression, production and assembly of Vibrio parahaemolyticus T3SS2 provides evidence for transertion

It has been proposed that bacterial membrane proteins may be synthesized and inserted into the membrane by a process known as transertion, which involves membrane association of their encoding genes, followed by coupled transcription, translation and membrane insertion. Here, we provide evidence supporting that the pathogen Vibrio parahaemolyticus uses transertion to assemble its type III secretion system (T3SS2), to inject virulence factors into host cells. We propose a two-step transertion process where the membrane-bound co-component receptor (VtrA/VtrC) is first activated by bile acids, leading to membrane association and expression of its target gene, vtrB, located in the T3SS2 pathogenicity island. VtrB, the transmembrane transcriptional activator of T3SS2, then induces the localized expression and membrane assembly of the T3SS2 structural components and its effectors. We hypothesize that the proposed transertion process may be used by other enteric bacteria for efficient assembly of membrane-bound molecular complexes in response to extracellular signals.

Plasma membrane-associated superstructure: Have we overlooked a new type of organelle in eukaryotic cells?

A variety of intriguing plasma membrane-associated regions, including focal adhesions, adherens junctions, tight junctions, immunological synapses, neuromuscular junctions and the primary cilia, among many others, have been described in eukaryotic cells. Emphasizing their importance, alteration in their molecular structures induces or correlates with different pathologies. These regions display surface proteins connected to intracellular molecules, including cytoskeletal component, which maintain their cytoarchitecture, and signalling proteins, which regulate their organization and functions. Based on the molecular similarities and other common features observed, we suggest that, despite differences in external appearances, all these regions are just the same superstructure that appears in different locations and cells. We hypothesize that this superstructure represents an overlooked new type of organelle that we call plasma membrane-associated superstructure (PMAS). Therefore, we suggest that eukaryotic cells include classical organelles (e.g. mitochondria, Golgi and others) and also PMAS. We speculate that this new type of organelle might be an innovation associated to the emergence of eukaryotes. Finally we discuss the implications of the hypothesis proposed.

Conserved patterns in bacterial genomes: a conundrum physically tailored by evolutionary tinkering

The proper functioning of bacteria is encoded in their genome at multiple levels or scales, each of which is constrained by specific physical forces. At the smallest spatial scales, interatomic forces dictate the folding and function of proteins and nucleic acids. On longer length scales, stochastic forces emerging from the thermal jiggling of proteins and RNAs impose strong constraints on the organization of genes along chromosomes, more particularly in the context of the building of nucleoprotein complexes and the operational mode of regulatory agents. At the cellular level, transcription, replication and cell division activities generate forces that act on both the internal structure and cellular location of chromosomes. The overall result is a complex multi-scale organization of genomes that reflects the evolutionary tinkering of bacteria. The goal of this review is to highlight avenues for deciphering this complexity by focusing on patterns that are conserved among evolutionarily distant bacteria. To this end, I discuss three different organizational scales: the protein structures, the chromosomal organization of genes and the global structure of chromosomes.

The interplay of the EIIA(Ntr) component of the nitrogen-related phosphotransferase system (PTS(Ntr)) of Pseudomonas putida with pyruvate dehydrogenase

BACKGROUND

Pseudomonas putida KT2440 is endowed with a variant of the phosphoenolpyruvate-carbohydrate phosphotransferase system (PTS(Ntr)), which is not related to sugar transport but believed to rule the metabolic balance of carbon vs. nitrogen. The metabolic targets of such a system are largely unknown.

METHODS

Dielectric breakdown of P. putida cells grown in rich medium revealed the presence of forms of the EIIA(Ntr) (PtsN) component of PTS(Ntr), which were strongly associated to other cytoplasmic proteins. To investigate such intracellular partners of EIIA(Ntr), a soluble protein extract of bacteria bearing an E epitope tagged version of PtsN was immunoprecipitated with a monoclonal anti-E antibody and the pulled-down proteins identified by mass spectrometry.

RESULTS

The E1 subunit of the pyruvate dehydrogenase (PDH) complex, the product of the aceE gene, was identified as a major interaction partner of EIIA(Ntr). To examine the effect of EIIA(Ntr) on PDH, the enzyme activity was measured in extracts of isogenic ptsN(+)/ptsN(-)P. putida strains and the role of phosphorylation was determined. Expression of PtsN and AceE proteins fused to different fluorescent moieties and confocal laser microscopy indicated a significant co-localization of the two proteins in the bacterial cytoplasm.

CONCLUSION

EIIA(Ntr) down-regulates PDH activity. Both genetic and biochemical evidence revealed that the non-phosphorylated form of PtsN is the protein species that inhibits PDH.

GENERAL SIGNIFICANCE

EIIA(Ntr) takes part in the node of C metabolism that checks the flux of carbon from carbohydrates into the Krebs cycle by means of direct protein-protein interactions with AceE. This type of control might connect metabolism to many other cellular functions. This article is part of a Special Issue entitled: Systems Biology of Microorganisms.

Question 7: the first units of life were not simple cells

Five common assumptions about the first cells are challenged by the pre-biotic ecology model and are replaced by the following propositions: firstly, early cells were more complex, more varied and had a greater diversity of constituents than modern cells; secondly, the complexity of a cell is not related to the number of genes it contains, indeed, modern bacteria are as complex as eukaryotes; thirdly, the unit of early life was an 'ecosystem' rather than a 'cell'; fourthly, the early cell needed no genes at all; fifthly, early life depended on non-covalent associations and on catalysts that were not confined to specific reactions. We present here the outlines of a theory that connects findings about modern bacteria with speculations about their origins.

Functional taxonomy of bacterial hyperstructures

The levels of organization that exist in bacteria extend from macromolecules to populations. Evidence that there is also a level of organization intermediate between the macromolecule and the bacterial cell is accumulating. This is the level of hyperstructures. Here, we review a variety of spatially extended structures, complexes, and assemblies that might be termed hyperstructures. These include ribosomal or "nucleolar" hyperstructures; transertion hyperstructures; putative phosphotransferase system and glycolytic hyperstructures; chemosignaling and flagellar hyperstructures; DNA repair hyperstructures; cytoskeletal hyperstructures based on EF-Tu, FtsZ, and MreB; and cell cycle hyperstructures responsible for DNA replication, sequestration of newly replicated origins, segregation, compaction, and division. We propose principles for classifying these hyperstructures and finally illustrate how thinking in terms of hyperstructures may lead to a different vision of the bacterial cell.

Cytoskeletal cytoplasmic filament ribbon of Treponema: a member of an intermediate-like filament protein family

Development of genetic systems for many bacterial genera, including Treponema, now allow the study of structures that are specific to certain pathogens. The cytoplasmic filament ribbon of treponemes that is involved in the cell division cycle has a unique organization. Cytoplasmic bridging proteins connect the filaments, maintaining the distance between them and providing the overall ribbon-like structure. The filaments are anchored by proteins associated with the inner membrane. Each filament is composed of a unique monomer, the cytoplasmic filament protein A (CfpA), with coiled-coils secondary structures. CfpA is part of a growing family of proteins that we propose to call bacterial intermediate-like filaments (BILF).

Differences in the degree of inhibition of NDP reductase by chemical inactivation and by the thermosensitive mutation nrdA101 in Escherichia coli suggest an effect on chromosome segregation

NDP reductase activity can be inhibited either by treatment with hydroxyurea or by incubation of an nrdA_ts mutant strain at the non-permissive temperature. Both methods inhibit replication, but experiments on these two types of inhibition yielded very different results. The chemical treatment immediately inhibited DNA synthesis but did not affect the cell and nucleoid appearance, while the incubation of an nrdA101 mutant strain at the non-permissive temperature inhibited DNA synthesis after more than 50 min, and resulted in aberrant chromosome segregation, long filaments, and a high frequency of anucleate cells. These phenotypes are not induced by SOS. In view of these results, we suggest there is an indirect relationship between NDP reductase and the chromosome segregation machinery through the maintenance of the proposed replication hyperstructure.

Pre‐replication assembly ofE. colireplisome components

The localization of SeqA, thymidylate synthase, DnaB (helicase) and the DNA polymerase components alpha and tau, has been studied by immunofluorescence microscopy. The origin has been labelled through GFP-LacI bound near oriC. SeqA was located in the cell centre for one replication factory (RF) and at 1/4 and 3/4 positions in pre-divisional cells harbouring two RFs. The transition of central to 1/4 and 3/4 positions of SeqA appeared abrupt. Labelled thymidylate synthetase was found all over the cell, thus not supporting the notion of a dNTP-synthesizing complex exclusively localized near the RF. More DnaB, alpha and tau foci were found than expected. We have hypothesized that extra foci arise at pre-replication assembly sites, where the number of sites equals the number of origins, i.e. the number of future RFs. A reasonable agreement was found between predicted and found foci. In the case of multifork replication the number of foci appeared consistent with the assumption that three RFs are grouped into a higher-order structure. The RF is probably separate from the foci containing SeqA and the hemi-methylated SeqA binding sites because these foci did not coincide significantly with DnaB as marker of the RF. Co-labelling of DnaB and oriC revealed limited colocalization, indicating that DnaB did not yet become associated with oriC at a pre-replication assembly site. DnaB and tau co-labelled in the cell centre, though not at presumed pre-replication assembly sites. By contrast, alpha and tau co-labelled consistently suggesting that they are already associated before replication starts.

Examining the architecture of cellular computing through a comparative study with a computer

The computer and the cell both use information embedded in simple coding, the binary software code and the quadruple genomic code, respectively, to support system operations. A comparative examination of their system architecture as well as their information storage and utilization schemes is performed. On top of the code, both systems display a modular, multi-layered architecture, which, in the case of a computer, arises from human engineering efforts through a combination of hardware implementation and software abstraction. Using the computer as a reference system, a simplistic mapping of the architectural components between the two is easily detected. This comparison also reveals that a cell abolishes the software-hardware barrier through genomic encoding for the constituents of the biochemical network, a cell's "hardware" equivalent to the computer central processing unit (CPU). The information loading (gene expression) process acts as a major determinant of the encoded constituent's abundance, which, in turn, often determines the "bandwidth" of a biochemical pathway. Cellular processes are implemented in biochemical pathways in parallel manners. In a computer, on the other hand, the software provides only instructions and data for the CPU. A process represents just sequentially ordered actions by the CPU and only virtual parallelism can be implemented through CPU time-sharing. Whereas process management in a computer may simply mean job scheduling, coordinating pathway bandwidth through the gene expression machinery represents a major process management scheme in a cell. In summary, a cell can be viewed as a super-parallel computer, which computes through controlled hardware composition. While we have, at best, a very fragmented understanding of cellular operation, we have a thorough understanding of the computer throughout the engineering process. The potential utilization of this knowledge to the benefit of systems biology is discussed.

A hyperstructure approach to mitochondria

Several questions in our understanding of mitochondria are unanswered. These include how the ratio of mitochondrial (mt)DNA to mitochondria is maintained, how the accumulation of defective, rapidly replicating mitochondrial DNA is avoided, how the ratio of mitochondria to cells is adjusted to fit cellular needs, and why any proteins are synthesized in mitochondria rather than simply imported. In bacteria, large hyperstructures or assemblies of proteins, mRNA, lipids and ions have been proposed to constitute a level of organization intermediate between macromolecules and whole cells. Here, we suggest how the concept of hyperstructures together with other concepts developed for bacteria such as transcriptional sensing and spontaneous segregation may provide answers to mitochondrial problems. In doing this, we show how the problem of the very existence of mtDNA brings its own solution.

Aspects, mechanism, and biological relevance of mitochondrial protein nitration sustained by mitochondrial nitric oxide synthase

The goal of this study was to explore the occurrence of nitrated proteins in mitochondria given that these organelles are endowed with a mitochondrial nitric oxide (NO·) synthase and considering the important role that mitochondria have in energy metabolism. Our hypothesis is that nitration of proteins constitutes a posttranslational modification by which NO· exhibits long-term effects above and beyond those bioregulatory ones mediated through the interaction with cytochrome c oxidase. Our studies are aimed at understanding the mechanisms underlying the nitration of proteins in mitochondria and the biological significance of such a process in the cellular milieu. On promoting a sustained NO· production by mitochondria, we investigated various aspects of protein nitration. Among them, the localization of nitrated proteins in mitochondrial subfractions, the identification of nitrated proteins through proteomic approaches, the characterization of affected pathways, and depiction of a target sequence. The biological relevance was analyzed by considering the turnover of native and nitrated proteins. In this regard, mitochondrial dysfunction, ensuing nitrative stress, may be envisioned as the result of accumulation of nitrated proteins, resulting from an overproduction of endogenous NO· (this study), a failure in the proteolytic system to catabolize modified proteins, or a combination of both. Finally, this study allows one to gain understanding on the mechanism and nitrating species underlying mitochondrial protein nitration.

A strand-specific model for chromosome segregation in bacteria

Chromosome separation and segregation must be executed within a bacterial cell in which the membrane and cytoplasm are highly structured. Here, we develop a strand-specific model based on each of the future daughter chromosomes being associated with a different set of structures or hyperstructures in an asymmetric cell. The essence of the segregation mechanism is that the genes on the same strand in the parental cell that are expressed together in a hyperstructure continue to be expressed together and segregate together in the daughter cell. The model therefore requires an asymmetric distribution of classes of genes and of binding sites and other structures on the strands of the parental chromosome. We show that the model is consistent with the asymmetric distribution of highly expressed genes and of stress response genes in Escherichia coli and Bacillus subtilis. The model offers a framework for interpreting data from genomics.

Conformon-driven biopolymer shape changes in cell modeling

Conceptual models of the atom preceded the mathematical model of the hydrogen atom in physics in the second decade of the 20th century. The computer modeling of the living cell in the 21st century may follow a similar course of development. A conceptual model of the cell called the Bhopalator was formulated in the mid-1980s, along with its twin theories known as the conformon theory of molecular machines and the cell language theory of biopolymer interactions [Ann. N.Y. Acad. Sci. 227 (1974) 211; BioSystems 44 (1997) 17; Ann. N.Y. Acad. Sci. 870 (1999a) 411; BioSystems 54 (2000) 107; Semiotica 138 (1-4) (2002a) 15; Fundamenta Informaticae 49 (2002b) 147]. The conformon theory accounts for the reversible actions of individual biopolymers coupled to irreversible chemical reactions, while the cell language theory provides a theoretical framework for understanding the complex networks of dynamic interactions among biopolymers in the cell. These two theories are reviewed and further elaborated for the benefit of both computational biologists and computer scientists who are interested in modeling the living cell and its functions. One of the critical components of the mechanisms of cell communication and cell computing has been postulated to be space- and time-organized teleonomic (i.e. goal-directed) shape changes of biopolymers that are driven by exergonic (free energy-releasing) chemical reactions. The generalized Franck-Condon principle is suggested to be essential in resolving the apparent paradox arising when one attempts to couple endergonic (free energy-requiring) biopolymer shape changes to the exergonic chemical reactions that are catalyzed by biopolymer shape changes themselves. Conformons, defined as sequence-specific mechanical strains of biopolymers first invoked three decades ago to account for energy coupling in mitochondria, have been identified as shape changers, the agents that cause shape changes in biopolymers. Given a set of space- and time-organized teleonomic shape changes of biopolymers driven by conformons, all of the functions of the cell can be accounted for in molecular terms-at least in principle. To convert a conceptual model of the cell into a computer model, it is necessary to represent the conceptual model in an algebraic language. To this end, we have begun to apply the process algebra of Milner [Communicating and Mobile Systems: The pi-calculus, Cambridge University Press, Cambridge, 1999] to develop what is here called the "shape algebra," capable of describing complex and mobile patterns of interactions among biomolecules leading to cell functions.

Modelling autocatalytic networks with artificial microbiology

Cells can usefully be equated to autocatalytic networks that increase in mass and then divide. To begin to model relationships between autocatalytic networks and cell division, we have written a program of artificial chemistry that simulates a cell fed by monomers. These monomers are symbols that can be assembled into linear (non-branched) polymers to give different lengths. A reaction is catalysed by a particular polymer or 'enzyme' that may itself be a reactant of that reaction (autocatalysis). These reactions are only studied within the confines of the 'cell' or 'reaction chamber'. There is a flux of material through the cell and eventually the mass of polymers reaches a threshold at which we analyse the cell. Our results indicate a similarity between the connectivity of the reaction network and that of real metabolic networks. Developing the model will entail attributing increased probabilities of reactions to polymers that are colocalised to evaluate the consequences of the dynamics of large assemblies of diverse molecules (hyperstructures) and of cell division.

Analyzing yeast protein-protein interaction data obtained from different sources

High-throughput methods for detecting protein interactions, such as mass spectrometry and yeast two-hybrid assays, continue to produce vast amounts of data that may be exploited to infer protein function and regulation. As this article went to press, the pool of all published interaction information on Saccharomyces cerevisiae was 15,143 interactions among 4,825 proteins, and power-law scaling supports an estimate of 20,000 specific protein interactions. To investigate the biases, overlaps, and complementarities among these data, we have carried out an analysis of two high-throughput mass spectrometry (HMS)-based protein interaction data sets from budding yeast, comparing them to each other and to other interaction data sets. Our analysis reveals 198 interactions among 222 proteins common to both data sets, many of which reflect large multiprotein complexes. It also indicates that a "spoke" model that directly pairs bait proteins with associated proteins is roughly threefold more accurate than a "matrix" model that connects all proteins. In addition, we identify a large, previously unsuspected nucleolar complex of 148 proteins, including 39 proteins of unknown function. Our results indicate that existing large-scale protein interaction data sets are nonsaturating and that integrating many different experimental data sets yields a clearer biological view than any single method alone.

Hypothesis: hyperstructures regulate initiation in Escherichia coli and other bacteria

Hyperstructures or modules have been proposed to constitute a level of organisation intermediate between macromolecules and whole cells. In this model of intracellular organisation, hyperstructures compete and collaborate for existence within the membrane and cytoplasm. Those directly involved in the cell cycle include initiation, replication and division hyperstructures based on DnaA, SeqA and the 2-minute cluster, respectively. During the run-up to initiation, the mass to DNA ratio increases and, we contend, differential gene expression leads to some hyperstructures becoming more active and stable than others. This results in a drop in the diversity of hyperstructures, some of which release DnaA as they dissociate, and a DnaA-initiation hyperstructure forms. Subsequent DNA replication and cell division generate different daughter cells containing different hyperstructures. This has the advantage of increasing the phenotypic diversity of the population. In developing this model, we also invoke hyperstructures in the partitioning of origins of replication.

A SeqA hyperstructure and its interactions direct the replication and sequestration of DNA

A level of explanation in biology intermediate between macromolecules and cells has recently been proposed. This level is that of hyperstructures. One class of hyperstructures comprises the genes, mRNA, proteins and lipids that assemble to fulfil a particular function and disassemble when no longer required. To reason in terms of hyperstructures, it is essential to understand the factors responsible for their formation. These include the local concentration of sites on DNA and their cognate DNA-binding proteins. In Escherichia coli, the formation of a SeqA hyperstructure via the phenomenon of local concentration may explain how the binding of SeqA to hemimethylated GATC sequences leads to the sequestration of newly replicated origins of replication.

Effects of calcium and calcium chelators on growth and morphology of Escherichia coli L-form NC-7

Growth of a wall-less, L-form of Escherichia coli specifically requires calcium, and in its absence, cells ceased dividing, became spherical, swelled, developed large vacuoles, and eventually lysed. The key cell division protein, FtsZ, was present in the L-form at a concentration five times less than that in the parental strain. One interpretation of these results is that the L-form possesses an enzoskeleton partly regulated by calcium.