Coordination between chromosome replication, segregation, and cell division in Caulobacter crescentus

Progression through the Caulobacter crescentus cell cycle is coupled to a cellular differentiation program. The swarmer cell is replicationally quiescent, and DNA replication initiates at the swarmer-to-stalked cell transition. There is a very short delay between initiation of DNA replication and movement of one of the newly replicated origins to the opposite pole of the cell, indicating the absence of cohesion between the newly replicated origin-proximal parts of the Caulobacter chromosome. The terminus region of the chromosome becomes located at the invaginating septum in predivisional cells, and the completely replicated terminus regions stay associated with each other after chromosome replication is completed, disassociating very late in the cell cycle shortly before the final cell division event. Invagination of the cytoplasmic membrane occurs earlier than separation of the replicated terminus regions and formation of separate nucleoids, which results in trapping of a chromosome on either side of the cell division septum, indicating that there is not a nucleoid exclusion phenotype.     

Analysis of the terminus region of the Caulobacter crescentus chromosome and identification of the dif site

The terminus region of the Caulobacter crescentus chromosome and the dif chromosome dimer resolution site were characterized. The Caulobacter genome contains skewed sequences that abruptly switch strands at dif and may have roles in chromosome maintenance and segregation. Absence of dif or the XerCD recombinase results in a chromosome segregation defect. The Caulobacter terminus region is unusual, since it contains many essential or highly expressed genes.     

Interrelationships of glycosylation and aggregation kinetics for Peniophora lycii phytase

The kinetics of thermally induced aggregation of the glycoprotein Peniophora lycii phytase (Phy) and a deglycosylated form (dgPhy) was studied by dynamic (DLS) and static (SLS) light scattering. This provided a detailed insight into the time course of the formation of small aggregates ( approximately 10-100 molecules) of the enzyme. The thermodynamic stability of the two forms was also investigated using scanning calorimetry (DSC). It was found that the glycans strongly promoted kinetic stability (i.e., reduced the rate of irreversible denaturation) while leaving the equilibrium denaturation temperature, T(d), defined by DSC, largely unaltered. At pH 4.5-5.0, for example, dgPhy aggregated approximately 200 times faster than Phy, even though the difference in T(d) was only 1-3 degrees C. To elucidate the mechanism by which the glycans promote kinetic stability, we measured the effect of ionic strength and temperature on the aggregation rate. Also, the second virial coefficients (B(22)) for the two forms were measured by SLS. These results showed that the aggregation rate of Phy scaled with the concentration of thermally denatured protein. This suggested first-order kinetics with respect to the concentration of the thermally denatured state. A similar but less pronounced correlation was found for dgPhy, and it was suggested that while the aggregation process for the deglycosylated form is dominated by denatured protein, it also involves a smaller contribution from associating molecules in the native state. The measurements of B(22) revealed that dgPhy had slightly higher values than Phy. This suggests that dgPhy interacts more favorably with the buffer than Phy and hence rules out strong hydration of the glycans as the origin of their effect on the kinetic stability. On the basis of this and the effects of pH and ionic strength, we suggest that the inhibition of aggregation is more likely to depend on steric hindrance of the glycans in the aggregated form of the protein.     

GCK-MODY diabetes associated with protein misfolding, cellular self-association and degradation

GCK-MODY, dominantly inherited mild fasting hyperglycemia, has been associated with >600 different mutations in the glucokinase (GK)-encoding gene (GCK). When expressed as recombinant pancreatic proteins, some mutations result in enzymes with normal/near-normal catalytic properties. The molecular mechanism(s) of GCK-MODY due to these mutations has remained elusive. Here, we aimed to explore the molecular mechanisms for two such catalytically 'normal' GCK mutations (S263P and G264S) in the F260-L270 loop of GK. When stably overexpressed in HEK293 cells and MIN6 β-cells, the S263P- and G264S-encoded mutations generated misfolded proteins with an increased rate of degradation (S263P>G264S) by the protein quality control machinery, and a propensity to self-associate (G264S>S263P) and form dimers (SDS resistant) and aggregates (partly Triton X-100 insoluble), as determined by pulse-chase experiments and subcellular fractionation. Thus, the GCK-MODY mutations S263P and G264S lead to protein misfolding causing destabilization, cellular dimerization/aggregation and enhanced rate of degradation. In silico predicted conformational changes of the F260-L270 loop structure are considered to mediate the dimerization of both mutant proteins by a domain swapping mechanism. Thus, similar properties may represent the molecular mechanisms for additional unexplained GCK-MODY mutations, and may also contribute to the disease mechanism in other previously characterized GCK-MODY inactivating mutations.     

Genome-Wide Profiling of Peroxisome Proliferator-Activated Receptor γ in Primary Epididymal, Inguinal, and Brown Adipocytes Reveals Depot-Selective Binding Correlated with Gene Expression

Peroxisome proliferator-activated receptor γ (PPARγ) is a master regulator of adipocyte differentiation and function. We and others have previously mapped PPARγ binding at a genome-wide level in murine and human adipocyte cell lines and in primary human adipocytes. However, little is known about how binding patterns of PPARγ differ between brown and white adipocytes and among different types of white adipocytes. Here we have employed chromatin immunoprecipitation combined with deep sequencing to map and compare PPARγ binding in in vitro differentiated primary mouse adipocytes isolated from epididymal, inguinal, and brown adipose tissues. While these PPARγ binding profiles are overall similar, there are clear depot-selective binding sites. Most PPARγ binding sites previously mapped in 3T3-L1 adipocytes can also be detected in primary adipocytes, but there are a large number of PPARγ binding sites that are specific to the primary cells, and these tend to be located in closed chromatin regions in 3T3-L1 adipocytes. The depot-selective binding of PPARγ is associated with highly depot-specific gene expression. This indicates that PPARγ plays a role in the induction of genes characteristic of different adipocyte lineages and that preadipocytes from different depots are differentially preprogrammed to permit PPARγ lineage-specific recruitment even when differentiated in vitro.     

Backbone assignment of perdeuterated proteins using long-range H/C-dipolar transfers

For micro-crystalline proteins, solid-state nuclear magnetic resonance spectroscopy of perdeuterated samples can provide spectra of unprecedented quality. Apart from allowing to detect sparsely introduced protons and thereby increasing the effective resolution for a series of sophisticated techniques, deuteration can provide extraordinary coherence lifetimes—obtainable for all involved nuclei virtually without decoupling and enabling the use of scalar magnetization transfers. Unfortunately, for fibrillar or membrane-embedded proteins, significantly shorter transverse relaxation times have been encountered as compared to micro-crystalline proteins despite an identical sample preparation, calling for alternative strategies for resonance assignment. In this work we propose an approach towards sequential assignment of perdeuterated proteins based on long-range ¹H/¹³C Cross Polarization transfers. This strategy gives rise to H/N-separated correlations involving C^α, C^β, and CO chemical shifts of both, intra- and interresidual contacts, and thus connecting adjacent residues independent of transverse relaxation times.     

Habitat exclusion and reduced growth: a field experiment on the effects of inter-cohort competition in young-of-the-year brown trout

Competition during the juvenile phase is a key process for regulating density in organisms with high fecundity. Juvenile density-dependent bottlenecks may become even more pronounced if several cohorts compete, but this has received relatively limited attention in previous literature. We performed a manipulation experiment in seven coastal streams to investigate the presence of inter-cohort competition, using habitat selection, body-size and density of newly emerged (age-0) brown trout (Salmo trutta) as response variables. The trout population (age ≥ 1 fish) was estimated using electro-fishing prior to the emergence of fry (April-May) and was either removed (manipulated sections) or maintained (control sections). Age-0 habitat selection was examined in June while density and body-size was evaluated in October (end of the growth season). We found that age-0 trout selected habitats that were located further from riffles (nursery habitats) in the absence of age ≥ 1 trout, suggesting a niche overlap between cohorts in the habitat dimension and, hence, that both inter-cohort competitive interactions and ontogenetic preference may influence habitat utilisation in the wild. Furthermore, we also found age-0 body-size to be significantly larger in manipulated sections and negatively related to its own density. We argue that competition from older cohorts influence the availability of age-0 feeding territories at the critical phase of emergence with secondary negative effects on age-0 growth. These results not only have implications for understanding the mechanisms of density dependence but can also provide valuable knowledge to the management of salmonid populations and their habitats in the wild.     

Cape buffalo mitogenomics reveals a Holocene shift in the African human-megafauna dynamics

Africa is unique among the continents in having maintained an extraordinarily diverse and prolific megafauna spanning the Pleistocene-Holocene epochs. Little is known about the historical dynamics of this community and even less about the reasons for its unique persistence to modern times. We sequenced complete mitochondrial genomes from 43 Cape buffalo (Syncerus caffer caffer) to infer the demographic history of this large mammal. A combination of Bayesian skyline plots, simulations and Approximate Bayesian Computation (ABC) were used to distinguish population size dynamics from the confounding effect of population structure and identify the most probable demographic scenario. Our analyses revealed a late Pleistocene expansion phase concurrent with the human expansion between 80 000 and 10 000 years ago, refuting an adverse ecological effect of Palaeolithic humans on this quarry species, but also showed that the buffalo subsequently declined during the Holocene. The distinct two-phased dynamic inferred here suggests that a major ecological transition occurred in the Holocene. The timing of this transition coincides with the onset of drier conditions throughout tropical Africa following the Holocene Optimum (～9000-5000 years ago), but also with the explosive growth in human population size associated with the transition from the Palaeolithic to the Neolithic cultural stage. We evaluate each of these possible causal factors and their potential impact on the African megafauna, providing the first systematic assessment of megafauna dynamics on the only continent where large mammals remain abundant.     

Estimating population divergence time and phylogeny from single-nucleotide polymorphisms data with outgroup ascertainment bias

The inference of population divergence times and branching patterns is of fundamental importance in many population genetic analyses. Many methods have been developed for estimating population divergence times, and recently, there has been particular attention towards genome-wide single-nucleotide polymorphisms (SNP) data. However, most SNP data have been affected by an ascertainment bias caused by the SNP selection and discovery protocols. Here, we present a modification of an existing maximum likelihood method that will allow approximately unbiased inferences when ascertainment is based on a set of outgroup populations. We also present a method for estimating trees from the asymmetric dissimilarity measures arising from pairwise divergence time estimation in population genetics. We evaluate the methods by simulations and by applying them to a large SNP data set of seven East Asian populations.