LexA-independent expression of a mutant mucAB operon.

pKM101 is a naturally occurring plasmid that carries mucAB, an analog of the umuDC operon, the gene products of which are required for the SOS-dependent processing of damaged DNA necessary for most mutagenesis. Genetic studies have indicated that mucAB expression is controlled by the SOS regulatory circuit, with LexA acting as a direct repressor. pGW16 is a pKM101 derivative obtained by N-methyl-N'-nitro-N-nitrosoguanidine mutagenesis that was originally identified on the basis of its ability to cause a modest increase in spontaneous mutation rate. In this report, we show that pGW16 differs from pKM101 in being able to enhance methyl methanesulfonate mutagenesis and to confer substantial resistance to UV killing in a lexA3 host. The mutation carried by pGW16 is dominant and was localized to a 2.4-kb region of pGW16 that includes the mucAB coding region and approximately 0.6 kb of the 5'-flanking region. We determined the sequence of a 119-bp fragment containing the region upstream of mucAB and identified a single-base-pair change in that region, a G.C-to-A.T transition that alters a sequence homologous to known LexA-binding sites. DNA gel shift experiments indicate that LexA protein binds poorly to a 125-bp fragment containing this mutation, whereas a fragment containing the wild-type sequence is efficiently bound by LexA. This mutation also alters an overlapping sequence that is homologous to the -10 region of Escherichia coli promoters, moving it closer to the consensus sequence. The observation that the synthesis of pGW16-encoded mucAB proteins in maxicells is increased relative to that of pKM101-encoded mucAB proteins even in the absence of a lexA+ plasmid suggests that this mutation also increases the activity of the mucAB promoter.     

Simulating the evolution of signal transduction pathways

We use a generic model of a network of proteins that can activate or deactivate each other to explore the emergence and evolution of signal transduction networks and to gain a basic understanding of their general properties. Starting with a set of non-interacting proteins, we evolve a signal transduction network by random mutation and selection to fulfill a complex biological task. In order to validate this approach we base selection on a fitness function that captures the essential features of chemotactic behavior as seen in bacteria. We find that a system of as few as three proteins can evolve into a network mediating chemotaxis-like behavior by acting as a "derivative sensor". Furthermore, we find that the dynamics and topology of such networks show many similarities to the natural chemotaxis pathway, that the response magnitude can increase with increasing network size and that network behavior shows robustness towards variations in some of the internal parameters. We conclude that simulating the evolution of signal transduction networks to mediate a certain behavior may be a promising approach for understanding the general properties of the natural pathway for that behavior.     

Predictive glycoengineering of biosimilars using a Markov chain glycosylation model

Biosimilar drugs must closely resemble the pharmacological attributes of innovator products to ensure safety and efficacy to obtain regulatory approval. Glycosylation is one critical quality attribute that must be matched, but it is inherently difficult to control due to the complexity of its biogenesis. This usually implies that costly and time‐consuming experimentation is required for clone identification and optimization of biosimilar glycosylation. Here, a computational method that utilizes a Markov model of glycosylation to predict optimal glycoengineering strategies to obtain a specific glycosylation profile with desired properties is described. The approach uses a genetic algorithm to find the required quantities to perturb glycosylation reaction rates that lead to the best possible match with a given glycosylation profile. Furthermore, the approach can be used to identify cell lines and clones that will require minimal intervention while achieving a glycoprofile that is most similar to the desired profile. Thus, this approach can facilitate biosimilar design by providing computational glycoengineering guidelines that can be generated with a minimal time and cost.     

Learning to use illumination gradients as an unambiguous cue to three dimensional shape

The luminance and colour gradients across an image are the result of complex interactions between object shape, material and illumination. Using such variations to infer object shape or surface colour is therefore a difficult problem for the visual system. We know that changes to the shape of an object can affect its perceived colour, and that shading gradients confer a sense of shape. Here we investigate if the visual system is able to effectively utilise these gradients as a cue to shape perception, even when additional cues are not available. We tested shape perception of a folded card object that contained illumination gradients in the form of shading and more subtle effects such as inter-reflections. Our results suggest that observers are able to use the gradients to make consistent shape judgements. In order to do this, observers must be given the opportunity to learn suitable assumptions about the lighting and scene. Using a variety of different training conditions, we demonstrate that learning can occur quickly and requires only coarse information. We also establish that learning does not deliver a trivial mapping between gradient and shape; rather learning leads to the acquisition of assumptions about lighting and scene parameters that subsequently allow for gradients to be used as a shape cue. The perceived shape is shown to be consistent for convex and concave versions of the object that exhibit very different shading, and also similar to that delivered by outline, a largely unrelated cue to shape. Overall our results indicate that, although gradients are less reliable than some other cues, the relationship between gradients and shape can be quickly assessed and the gradients therefore used effectively as a visual shape cue.     

Disease

This paper examines what it is for a condition to be a disease. It falls into two sections. In the first I examine the best existing account of disease (as proposed by Christopher Boorse) and argue that it must be rejected. In the second I outline a more acceptable account of disease. According to this account, by disease we mean a condition that it is a bad thing to have, that is such that we consider the afflicted person to have been unlucky, and that can potentially be medically treated. All three criteria must be fulfilled for a condition to be a disease. The criterion that for a condition to be a disease it must be a bad thing is required to distinguish the biologically different from the diseased. The claim that the sufferer must be unlucky is needed to distinguish diseases from conditions that are unpleasant but normal, for example teething. Finally, the claim that for a condition to be a disease it must be potentially medically treatable is needed to distinguish diseases from other types of misfortune, for example economic problems and legal problems.     

Origins of the nucleate organisms II

A revised version of an earlier phylogenetic model for the eukaryotes is presented. It is postulated that mitosis, phagotrophy, the mitochondrion, the flagellum, sexual reproduction, and the chloroplast are so complex that it is improbable that they evolved de novo more than once. It is assumed that their distribution among existing organisms is a reflection of their order of appearance in evolutionary history. Their distribution suggests that the nucleate organisms evolved through the sequence: amoeba, amoeboflagellate, sexual amoeboflagellate, and that the chloroplast first appeared in sexual flagellates. Sequence data indicate that the sexual amoeboflagellates gave rise to a line of holozoic protozoans that culminated in the metazoans. An amoeba-metazoan line can be envisaged as representing the mainstream of eukaryote evolution. Sequence data indicate that the sexual flagellates bearing mastigonemes, the eumycetes, and the metaphytes diverged from such a line, and in that order. Cytological and biochemical data strongly suggest that the rhodophytes and metaphytes derive from a common algal ancestor, that this ancestor would have arisen from a sexual, biflagellate, holozoic protozoan lacking mastigonemes, and that it would have been closely related to the most recent monocellular ancestor of the metazoans. Sequence data indicate that the chloroplast derives from an ancestral blue-green bacterium that was originally an endosymbiont within a phagotrophic protozoan. Thus the metaphytes may be secondary in a series of organisms able to produce chlorophyll a. There is evidence that subsequently a fully developed chloroplast able to produce chlorophylls a and b was transferred by a further symbiosis to a holozoic euglenoid protozoan; the chloroplast of the euglenophytes is so similar to that of the chlorophytes, but the morphologies of these algae are so different, it was postulated that euglenophytes arose through symbiosis between a euglenid and a chlorophyte. It is proposed here that the distribution of phylogenetic features among organisms bearing mastigonemes indicates that the euglenophytes gave rise to dinophytes, cryptophytes, and all other organisms bearing mastigonemes. Thus the algae bearing mastigonemes may be tertiary in a series of organisms able to produce chlorophyll a. It is postulated that the production of chlorophyll b in algae, and the stacking of thylakoids first appeared in a line from rhodophytes to chlorophytes, and that replacement of chlorophyll b by chlorophyll c₂ occurred in a line from euglenophytes to dinophytes. To account for the presence of biliproteins in rhodophytes and cryptophytes, it is proposed that the putative transfer of the chloroplast from chlorophytes to euglenophytes occurred before a loss of biliproteins in the metaphyte line, and that the primordial euglenophytes, dinophytes, and cryptophytes were able to produce biliproteins; subsequently, biliprotein production was abandoned in all algae except rhodophytes and cryptophytes. The interrelationships of the chytrids, eumycetes, and oomycetes remain obscure. However, the model is consistent with the hypothesis that the chytrids represent ancestors to the eumycetes, and that the eumycete line and the oomycete-hyphochytrid group of fungi arose independently. The distribution of phagotrophy, biflagellate form, and sexuality suggests that the paired form of flagella first appeared in asexual amoeboflagellates, and became stabilised in sexual amoeboflagellates. The overall model is in accord with sequence evidence that the genomes of the nucleus, mitochondrion, and chloroplast derive from different genetic sources in ancestral prokaryotes, and is consistent with the hypothesis that the mitochondrion and chloroplast were acquired through endosymbioses initiated by phagotrophic inclusion of an aerobic bacterium, and a blue-green bacterium, respectively. Avenues for phylogenetic and sequence investigation for testing the model are suggested.     

Removing the sampling restrictions from family-based tests of association for a quantitative-trait locus

One strategy for localization of a quantitative-trait locus (QTL) is to test whether the distribution of a quantitative trait depends on the number of copies of a specific genetic-marker allele that an individual possesses. This approach tests for association between alleles at the marker and the QTL, and it assumes that association is a consequence of the marker being physically close to the QTL. However, problems can occur when data are not from a homogeneous population, since associations can arise irrespective of a genetic marker being in physical proximity to the QTL-that is, no information is gained regarding localization. Methods to address this problem have recently been proposed. These proposed methods use family data for indirect stratification of a population, thereby removing the effect of associations that are due to unknown population substructure. They are, however, restricted in terms of the number of children per family that can be used in the analysis. Here we introduce tests that can be used on family data with parent and child genotypes, with child genotypes only, or with a combination of these types of families, without size restrictions. Furthermore, equations that allow one to determine the sample size needed to achieve desired power are derived. By means of simulation, we demonstrate that the existing tests have an elevated false-positive rate when the size restrictions are not followed and that a good deal of information is lost as a result of adherence to the size restrictions. Finally, we introduce permutation procedures that are recommended for small samples but that can also be used for extensions of the tests to multiallelic markers and to the simultaneous use of more than one marker.     

Dockers at the crossroads.

The family of docker proteins containing phosphotyrosine-binding (PTB) domains appears to represent a family of critically positioned and exquisitely controlled signalling proteins that relay signals from the activated receptors to downstream pathways. These proteins all have a membrane attachment domain, a PTB domain that targets the protein to a subset of receptors and a number of phosphorylatable tyrosines that dock other signalling proteins. Evidence is accruing that suggests that the PTB domain has evolved from a pleckstrin homology (PH) domain to bind to a range of sequences that, while bestowing specificity, allows switching of the docker protein between receptors or signalling systems. The history of the PTB domain and how it influences the participation of docker protein in various signalling pathways are discussed.     

Entrainment to Periodic Initiation and Transition Rates in a Computational Model for Gene Translation

Periodic oscillations play an important role in many biomedical systems. Proper functioning of biological systems that respond to periodic signals requires the ability to synchronize with the periodic excitation. For example, the sleep/wake cycle is a manifestation of an internal timing system that synchronizes to the solar day. In the terminology of systems theory, the biological system must entrain or phase-lock to the periodic excitation. Entrainment is also important in synthetic biology. For example, connecting several artificial biological systems that entrain to a common clock may lead to a well-functioning modular system. The cell-cycle is a periodic program that regulates DNA synthesis and cell division. Recent biological studies suggest that cell-cycle related genes entrain to this periodic program at the gene translation level, leading to periodically-varying protein levels of these genes. The ribosome flow model (RFM) is a deterministic model obtained via a mean-field approximation of a stochastic model from statistical physics that has been used to model numerous processes including ribosome flow along the mRNA. Here we analyze the RFM under the assumption that the initiation and/or transition rates vary periodically with a common period . We show that the ribosome distribution profile in the RFM entrains to this periodic excitation. In particular, the protein synthesis pattern converges to a unique periodic solution with period . To the best of our knowledge, this is the first proof of entrainment in a mathematical model for translation that encapsulates aspects such as initiation and termination rates, ribosomal movement and interactions, and non-homogeneous elongation speeds along the mRNA. Our results support the conjecture that periodic oscillations in tRNA levels and other factors related to the translation process can induce periodic oscillations in protein levels, and may suggest a new approach for re-engineering genetic systems to obtain a desired, periodic, protein synthesis rate.     

The cartilage-derived, C-type lectin (CLECSF1): structure of the gene and chromosomal location.

Cartilage is a tissue that is primarily extracellular matrix, the bulk of which consists of proteoglycan aggregates constrained within a collagen framework. Candidate components that organize the extracellular assembly of the matrix consist of collagens, proteoglycans and multimeric glycoproteins. We describe the human gene structure of a potential organizing factor, a cartilage-derived member of the C-type lectin superfamily (CLECSF1; C-type lectin superfamily) related to the serum protein, tetranectin. We show by Northern analysis that this protein is restricted to cartilage and locate the gene on chromosome 16q23. We have characterized 10.9 kb of sequence upstream of the first exon. Similarly to human tetranectin, there are three exons. The residues that are conserved between CLECSF1 and tetranectin suggest that the cartilage-derived protein forms a trimeric structure similar to that of tetranectin, with three N-terminal alpha-helical domains aggregating through hydrophobic faces. The globular, C-terminal domain that has been shown to bind carbohydrate in some members of the family and plasminogen in tetranectin, is likely to have a similar overall structure to that of tetranectin.     

FtsZ ring: the eubacterial division apparatus conserved in archaebacteria

FtsZ is a tubulin-like protein that is essential for cell division in eubacteria. It functions by forming a ring at the division site that directs septation. The archaebacteria constitute a kingdom of life separate from eubacteria and eukaryotes. Like eubacteria, archaebacteria are prokaryotes, although they are phylogenetically closer to eukaryotes. Here it is shown that archaebacteria also possess FtsZ and that it is biochemically similar to eubacterial FtsZs. Significantly, FtsZ from the archaebacterium Haloferax volcanii is a GTPase that is localized to a ring that coincides with the division constriction. These results indicate that the FtsZ ring was part of the division apparatus of a common prokaryotic ancestor that was retained by both eubacteria and archaebacteria.     

Octopus vulgaris uses visual information to determine the location of its arm

Octopuses are intelligent, soft-bodied animals with keen senses that perform reliably in a variety of visual and tactile learning tasks. However, researchers have found them disappointing in that they consistently fail in operant tasks that require them to combine central nervous system reward information with visual and peripheral knowledge of the location of their arms. Wells claimed that in order to filter and integrate an abundance of multisensory inputs that might inform the animal of the position of a single arm, octopuses would need an exceptional computing mechanism, and "There is no evidence that such a system exists in Octopus, or in any other soft bodied animal." Recent electrophysiological experiments, which found no clear somatotopic organization in the higher motor centers, support this claim. We developed a three-choice maze that required an octopus to use a single arm to reach a visually marked goal compartment. Using this operant task, we show for the first time that Octopus vulgaris is capable of guiding a single arm in a complex movement to a location. Thus, we claim that octopuses can combine peripheral arm location information with visual input to control goal-directed complex movements.     

The pro-life argument from substantial identity and the pro-choice argument from asymmetric value: a reply to Patrick Lee

Lee claims that foetuses and adult humans are phases of the same identical substance, and thus have the same moral status because: first, foetuses and adults are the same physical organism, and second, the development from foetus to adult is quantitative and thus not a change of substance. Versus the first argument, I contend that the fact that foetuses and adults are the same physical organism implies only that they are the same thing but not the same substance, much as living adults and their corpses are the same thing (same body) but not the same substance. Against Lee's second argument, I contend that Lee confuses the nature of a process with the nature of its result. A process of quantitative change can produce a change in substance. Lee also fails to show that foetuses are rational and thus have all the essential properties of adults, as required for them to be the same substance. Against the pro-choice argument from asymmetric value (that only the fact that a human has become conscious of its life and begun to count on its continuing can explain human life's asymmetric moral value, i.e. that it is vastly worse to kill a human than not to produce one), Lee claims that foetus's lives are asymmetrically valuable to them before consciousness. This leads to counterintuitive outcomes, and it confuses the goodness of life (a symmetric value that cannot account for why it is worse to kill a human than not produce one) with asymmetric value.     

A hotspot for enhancing insulin receptor activation revealed by a conformation-specific allosteric aptamer

Aptamers are single-stranded oligonucleotides that bind to a specific target with high affinity, and are widely applied in biomedical diagnostics and drug development. However, the use of aptamers has largely been limited to simple binders or inhibitors that interfere with the function of a target protein. Here, we show that an aptamer can also act as a positive allosteric modulator that enhances the activation of a receptor by stabilizing the binding of a ligand to that receptor. We developed an aptamer, named IR-A43, which binds to the insulin receptor, and confirmed that IR-A43 and insulin bind to the insulin receptor with mutual positive cooperativity. IR-A43 alone is inactive, but, in the presence of insulin, it potentiates autophosphorylation and downstream signaling of the insulin receptor. By using the species-specific activity of IR-A43 at the human insulin receptor, we demonstrate that residue Q272 in the cysteine-rich domain is directly involved in the insulin-enhancing activity of IR-A43. Therefore, we propose that the region containing residue Q272 is a hotspot that can be used to enhance insulin receptor activation. Moreover, our study implies that aptamers are promising reagents for the development of allosteric modulators that discriminate a specific conformation of a target receptor.     

Pheromones and Pheromone Receptors Are the Primary Determinants of Mating Specificity in the Yeast Saccharomyces Cerevisiae

Saccharomyces cerevisiae has two haploid cell types, a and alpha, each of which produces a unique set of proteins that participate in the mating process. We sought to determine the minimum set of proteins that must be expressed to allow mating and to confer specificity. We show that the capacity to synthesize alpha-factor pheromone and a-factor receptor is sufficient to allow mating by mat alpha 1 mutants, mutants that normally do not express any alpha- or a-specific products. Likewise, the capacity to synthesize a-factor receptor and alpha-factor pheromone is sufficient to allow a ste2 ste6 mutants, which do not produce the normal a cell pheromone and receptor, to mate with wild-type a cells. Thus, the a-factor receptor and alpha-factor pheromone constitute the minimum set of alpha-specific proteins that must be produced to allow mating as an alpha cell. Further evidence that the pheromones and pheromone receptors are important determinants of mating specificity comes from studies with mat alpha 2 mutants, cells that simultaneously express both pheromones and both receptors. We created a series of strains that express different combinations of pheromones and receptors in a mat alpha 2 background. These constructions reveal that mat alpha 2 mutants can be made to mate as either a cells or as alpha cells by causing them to express only the pheromone and receptor set appropriate for a particular cell type. Moreover, these studies show that the inability of mat alpha 2 mutants to respond to either pheromone is a consequence of two phenomena: adaptation to an autocrine response to the pheromones they secrete and interference with response to alpha factor by the a-factor receptor.     

Modeling Taxa-Abundance Distributions in Microbial Communities using Environmental Sequence Data

We show that inferring the taxa-abundance distribution of a microbial community from small environmental samples alone is difficult. The difficulty stems from the disparity in scale between the number of genetic sequences that can be characterized and the number of individuals in communities that microbial ecologists aspire to describe. One solution is to calibrate and validate a mathematical model of microbial community assembly using the small samples and use the model to extrapolate to the taxa-abundance distribution for the population that is deemed to constitute a community. We demonstrate this approach by using a simple neutral community assembly model in which random immigrations, births, and deaths determine the relative abundance of taxa in a community. In doing so, we further develop a neutral theory to produce a taxa-abundance distribution for large communities that are typical of microbial communities. In addition, we highlight that the sampling uncertainties conspire to make the immigration rate calibrated on the basis of small samples very much higher than the true immigration rate. This scale dependence of model parameters is not unique to neutral theories; it is a generic problem in ecology that is particularly acute in microbial ecology. We argue that to overcome this, so that microbial ecologists can characterize large microbial communities from small samples, mathematical models that encapsulate sampling effects are required.     

Distinct ceramide synthases regulate polarized growth in the filamentous fungus Aspergillus nidulans

In filamentous fungi, the stabilization of a polarity axis is likely to be a pivotal event underlying the emergence of a germ tube from a germinating spore. Recent results implicate the polarisome in this process and also suggest that it requires localized membrane organization. Here, we employ a chemical genetic approach to demonstrate that ceramide synthesis is necessary for the formation of a stable polarity axis in the model fungus Aspergillus nidulans. We demonstrate that a novel compound (HSAF) produced by a bacterial biocontrol agent disrupts polarized growth and leads to loss of membrane organization and formin localization at hyphal tips. We show that BarA, a putative acyl-CoA-dependent ceramide synthase that is unique to filamentous fungi mediates the effects of HSAF. Moreover, A. nidulans possesses a second likely ceramide synthase that is essential and also regulates hyphal morphogenesis. Our results suggest that filamentous fungi possess distinct pools of ceramide that make independent contributions to polarized hyphal growth, perhaps through the formation of specialized lipid microdomains that regulate organization of the cytoskeleton.     

Qualitative Attribution,Phenomenal Experience and Being

I argue that the physiological, phenomenal and conceptual constitute a trichotomous hierarchy of emergent categories. I claim that each category employs a distinctive type of interactive mechanism that facilitates a meaningful kind of environmental discourse. I advocate, therefore, that each have a causal relation with the environment but that their specific class of mechanism qualifies distinctively the meaningfulness of that interaction and subsequent responses. Consequently, I argue that the causal chain of physical interaction feeds distinctive value-laden constructions that are ontologically distinct for each category. Within the limitations of the interactive mechanisms of each category, increasingly sophisticated forms tend to evolve. The increase in sophistication in each category inevitably leads to the emergence of the novel mechanism particular to the next in the hierarchy. In essence, there is an emergent hierarchy of evolving categories delineated by the nature of their mechanism of environmental engagement. I argue that biochemical mechanisms have a tendency to evolve meaningfully, specifically in a way that is both qualitatively relevant and responsive to environmental particulars. I explain that these mechanisms set in play an organisational imperative that leads to the emergence of the capacity to evaluate and prioritise qualitative biochemical assimilations which, inevitably, generates a subjectively individuated experience phenomenon. I then relate this to the novel characteristics of the human perspective.     

Reticulon 4a/NogoA locates to regions of high membrane curvature and may have a role in nuclear envelope growth

Reticulon 4a (Rtn4a) is a membrane protein that shapes tubules of the endoplasmic reticulum (ER). The ER is attached to the nuclear envelope (NE) during interphase and has a role in post mitotic/meiotic NE reassembly. We speculated that Rtn4a has a role in NE dynamics. Using immuno-electron microscopy we found that Rtn4a is located at junctions between membranes in the cytoplasm, and between cytoplasmic membranes and the outer nuclear membrane in growing Xenopus oocyte nuclei. We found that during NE assembly in Xenopus egg extracts, Rtn4a localises to the edges of membranes that are flattening onto the chromatin. These results demonstrate that Rtn4a locates to regions of high membrane curvature in the ER and the assembling NE. Previously it was shown that incubation of egg extracts with antibodies against Rtn4a caused ER to form into large vesicles instead of tubules. To test whether Rtn4a contributes to NE assembly, we added the same Rtn4a antibody to nuclear assembly reactions. Chromatin was enclosed by membranes containing nuclear pore complexes, but nuclei did not grow. Instead large sacs of ER membranes attached to, but did not integrate into the NE. It is possible therefore that Rtn4a may have a role in NE assembly.     

Natural radioactivity can explain clinal variation in the expression of melanin-based traits

A recent study shows that the expression of pheomelanin-based coloration in barn owls follows a continuous gradient across Europe as a result of local adaptation. The selective pressures that promote local adaptation remain, however, unknown. Here we hypothesize and test that natural radioactivity levels follow a similar spatial gradient to that of pheomelanin-based color in Europe and thus represents a potential selective pressure. The rationale is that the production of pheomelanin consumes glutathione (GSH), a key intracellular antioxidant, and that GSH is particularly susceptible to ionizing radiation, which depletes antioxidants. As predicted, the intensity of pheomelanin-based coloration in 18 populations of barn owls was negatively associated with terrestrial γ-dose rates across Europe. Therefore, we propose that natural selection acts against barn owls that present the molecular basis to produce large amounts of pheomelanin in those populations that are exposed to high levels of natural radioactivity, as in these populations individuals would require higher antioxidant resources to combat oxidative stress. This is the first time that natural radioactivity levels are related to the expression of a phenotypic trait.