Local cooperation dominates over competition between CD4+ T cells of different antigen/MHC specificity

Interactions between CD4(+) T cells in vivo are controlled by a balance between cooperation and competition. In this study the interaction between two populations of CD4(+) T cells of different MHC/peptide specificity was probed at different precursor frequencies, delivering one or both Ags to APC using particle-mediated DNA delivery. Expansion of clonal populations of Ag (OVA and pigeon cytochrome c-specific) CD4(+) T cells was limited at higher precursor frequencies, presumably reflecting intraclonal competition. In contrast, a strong enhancement of the number of cells expressing IFN-gamma, IL-4, and IL-2 was observed in populations of cells at low precursor frequency in the presence of a high frequency of activated cells of a different Ag specificity. The helper effect was most potent when both Ags were delivered to the same dendritic cell (i.e., linked). This reflects the requirement of epicrine or paracrine help for optimal activation of T cell clones at low frequency. A measure of help was also delivered in an endocrine manner (unlinked), especially for Th1 responses, suggesting that there is also limited diffusion of cytokines between dendritic cell clusters. The dominant effects of cooperation over competition between CD4(+) T cells responding to different Ags may have important implications in terms of the efficacy of multivalent vaccines.     

The genome sequence of Yersinia pestis bacteriophage phiA1122 reveals an intimate history with the coliphage T3 and T7 genomes

The genome sequence of bacteriophage phiA1122 has been determined. phiA1122 grows on almost all isolates of Yersinia pestis and is used by the Centers for Disease Control and Prevention as a diagnostic agent for the causative agent of plague. phiA1122 is very closely related to coliphage T7; the two genomes are colinear, and the genome-wide level of nucleotide identity is about 89%. However, a quarter of the phiA1122 genome, one that includes about half of the morphogenetic and maturation functions, is significantly more closely related to coliphage T3 than to T7. It is proposed that the yersiniophage phiA1122 recombined with a close relative of the Y. enterocolitica phage phiYeO3-12 to yield progeny phages, one of which became the classic T3 coliphage of Demerec and Fano (M. Demerec and U. Fano, Genetics 30:119-136, 1945).     

Hybrid Spreading Mechanisms and T Cell Activation Shape the Dynamics of HIV-1 Infection

HIV-1 can disseminate between susceptible cells by two mechanisms: cell-free infection following fluid-phase diffusion of virions and by highly-efficient direct cell-to-cell transmission at immune cell contacts. The contribution of this hybrid spreading mechanism, which is also a characteristic of some important computer worm outbreaks, to HIV-1 progression in vivo remains unknown. Here we present a new mathematical model that explicitly incorporates the ability of HIV-1 to use hybrid spreading mechanisms and evaluate the consequences for HIV-1 pathogenenesis. The model captures the major phases of the HIV-1 infection course of a cohort of treatment naive patients and also accurately predicts the results of the Short Pulse Anti-Retroviral Therapy at Seroconversion (SPARTAC) trial. Using this model we find that hybrid spreading is critical to seed and establish infection, and that cell-to-cell spread and increased CD4+ T cell activation are important for HIV-1 progression. Notably, the model predicts that cell-to-cell spread becomes increasingly effective as infection progresses and thus may present a considerable treatment barrier. Deriving predictions of various treatments’ influence on HIV-1 progression highlights the importance of earlier intervention and suggests that treatments effectively targeting cell-to-cell HIV-1 spread can delay progression to AIDS. This study suggests that hybrid spreading is a fundamental feature of HIV infection, and provides the mathematical framework incorporating this feature with which to evaluate future therapeutic strategies.     

Genomics of Divergence along a Continuum of Parapatric Population Differentiation

The patterns of genomic divergence during ecological speciation are shaped by a combination of evolutionary forces. Processes such as genetic drift, local reduction of gene flow around genes causing reproductive isolation, hitchhiking around selected variants, variation in recombination and mutation rates are all factors that can contribute to the heterogeneity of genomic divergence. On the basis of 60 fully sequenced three-spined stickleback genomes, we explore these different mechanisms explaining the heterogeneity of genomic divergence across five parapatric lake and river population pairs varying in their degree of genetic differentiation. We find that divergent regions of the genome are mostly specific for each population pair, while their size and abundance are not correlated with the extent of genome-wide population differentiation. In each pair-wise comparison, an analysis of allele frequency spectra reveals that 25–55% of the divergent regions are consistent with a local restriction of gene flow. Another large proportion of divergent regions (38–75%) appears to be mainly shaped by hitchhiking effects around positively selected variants. We provide empirical evidence that alternative mechanisms determining the evolution of genomic patterns of divergence are not mutually exclusive, but rather act in concert to shape the genome during population differentiation, a first necessary step towards ecological speciation.     

Hybrid Epidemics—A Case Study on Computer Worm Conficker

Conficker is a computer worm that erupted on the Internet in 2008. It is unique in combining three different spreading strategies: local probing, neighbourhood probing, and global probing. We propose a mathematical model that combines three modes of spreading: local, neighbourhood, and global, to capture the worm’s spreading behaviour. The parameters of the model are inferred directly from network data obtained during the first day of the Conficker epidemic. The model is then used to explore the tradeoff between spreading modes in determining the worm’s effectiveness. Our results show that the Conficker epidemic is an example of a critically hybrid epidemic, in which the different modes of spreading in isolation do not lead to successful epidemics. Such hybrid spreading strategies may be used beneficially to provide the most effective strategies for promulgating information across a large population. When used maliciously, however, they can present a dangerous challenge to current internet security protocols.     

Divergence thresholds and divergent biodiversity estimates: can metabarcoding reliably describe zooplankton communities?

DNA metabarcoding is a promising method for describing communities and estimating biodiversity. This approach uses high‐throughput sequencing of targeted markers to identify species in a complex sample. By convention, sequences are clustered at a predefined sequence divergence threshold (often 3%) into operational taxonomic units (OTUs) that serve as a proxy for species. However, variable levels of interspecific marker variation across taxonomic groups make clustering sequences from a phylogenetically diverse dataset into OTUs at a uniform threshold problematic. In this study, we use mock zooplankton communities to evaluate the accuracy of species richness estimates when following conventional protocols to cluster hypervariable sequences of the V4 region of the small subunit ribosomal RNA gene (18S) into OTUs. By including individually tagged single specimens and “populations” of various species in our communities, we examine the impact of intra‐ and interspecific diversity on OTU clustering. Communities consisting of single individuals per species generated a correspondence of 59–84% between OTU number and species richness at a 3% divergence threshold. However, when multiple individuals per species were included, the correspondence between OTU number and species richness dropped to 31–63%. Our results suggest that intraspecific variation in this marker can often exceed 3%, such that a single species does not always correspond to one OTU. We advocate the need to apply group‐specific divergence thresholds when analyzing complex and taxonomically diverse communities, but also encourage the development of additional filtering steps that allow identification of artifactual rRNA gene sequences or pseudogenes that may generate spurious OTUs.     

The Genome Sequence of Psychrobacter arcticus 273-4, a Psychroactive Siberian Permafrost Bacterium,Reveals Mechanisms for Adaptation to Low-Temperature Growth

Psychrobacter arcticus strain 273-4, which grows at temperatures as low as −10°C, is the first cold-adapted bacterium from a terrestrial environment whose genome was sequenced. Analysis of the 2.65-Mb genome suggested that some of the strategies employed by P. arcticus 273-4 for survival under cold and stress conditions are changes in membrane composition, synthesis of cold shock proteins, and the use of acetate as an energy source. Comparative genome analysis indicated that in a significant portion of the P. arcticus proteome there is reduced use of the acidic amino acids and proline and arginine, which is consistent with increased protein flexibility at low temperatures. Differential amino acid usage occurred in all gene categories, but it was more common in gene categories essential for cell growth and reproduction, suggesting that P. arcticus evolved to grow at low temperatures. Amino acid adaptations and the gene content likely evolved in response to the long-term freezing temperatures (−10°C to −12°C) of the Kolyma (Siberia) permafrost soil from which this strain was isolated. Intracellular water likely does not freeze at these in situ temperatures, which allows P. arcticus to live at subzero temperatures.Temperature is one of the most important parameters that determine the distribution and extent of life on earth, and it does this by affecting cell structure and function. High temperatures break covalent bonds and ionic interactions between molecules, inactivating proteins and disrupting cell structures. Low temperatures reduce biochemical reaction rates and substrate transport and induce the formation of ice that damages cell structures. Not surprisingly, an organism''s compatibility with the temperature of its habitat is ultimately determined by its underlying genetic architecture.The strong emphasis in research on mesophile biology (temperatures in the 20°C to 37°C range) has given us a misimpression of the importance of cold on earth. However, 70% of the Earth''s surface is covered by oceans with average temperatures between 1°C and 5°C (11), 20% of the Earth''s terrestrial surface is permafrost (47), and a larger portion of the surface undergoes seasonal freezing, making our planet a predominantly cold environment. Hence, cold adaptation in the microbial world should be expected (55).Permafrost is defined as soils or sediments that are continuously exposed to a temperature of 0°C or less for at least 2 years (44). Permafrost temperatures range from −10°C to −20°C in the Arctic and from −10°C to −65°C in the Antarctic, and permafrost has low water activity, often contains small amounts of carbon (0.85 to 1%), and is subjected to prolonged exposure to damaging gamma radiation from ⁴⁰K in soil minerals (49). Liquid water occurs as a very thin, salty layer surrounding the soil particles in the frozen layer. Despite the challenges of the permafrost, a variety of microorganisms successfully colonize this environment, and many microorganisms have been isolated from it (54, 70). The bacterial taxa most frequently isolated from the Kolyma permafrost of northeast Siberia include Arthrobacter, Exiguobacterium, Flavobacterium, Sphingomonas, and Psychrobacter (71). Rhode and Price (56) proposed that microorganisms can survive in frozen ice for very long periods due to the very thin film of water surrounding each cell that serves as a reserve of substrates. Permafrost is a more favorable environment than ice as a result of its heterogeneous soil particles and larger reservoirs of nutrients.The genus Psychrobacter comprises a group of Gram-negative, rod-shaped, heterotrophic bacteria, and many Psychrobacter species are capable of growth at low temperatures. Members of this genus can grow at temperatures between −10°C and 42°C, and they have frequently been isolated from various cold environments, including Antarctic sea ice, ornithogenic soil and sediments, the stomach contents of Antarctic krill (Euphausia), deep seawater, and permafrost (9, 36, 57, 70, 71, 76; http://www.bacterio.cict.fr/p/psychrobacter.html). Psychrobacter arcticus 273-4 is a recently described species (4) that was isolated from a 20,000- to 30,000-year-old continuously frozen permafrost horizon in the Kolyma region in Siberia that was not exposed to temperatures higher than 4°C during isolation (70). This strain, the type strain of the species, grows at temperatures ranging from −10°C to 28°C, has a generation time of 3.5 days at −2.5°C, exhibits excellent long-term survival under freezing conditions, and has temperature-dependent physiological modifications in membrane composition and carbon source utilization (50). The fact that Psychrobacter has been found to be an indicator genus for permafrost and other polar environments (66) suggests that many of its members are adapted to low temperatures and increased levels of osmotica and have evolved molecular-level changes that aid survival at low temperatures.Early studies on cold adaptation in microorganisms revealed physiological strategies to deal with low temperatures, such as changes in membrane saturation, accumulation of compatible solutes, and the presence of cold shock proteins (CSPs) and many other proteins with general functions (62). However, many of the studies were conducted with mesophilic microorganisms, which limits the generality of the conclusions. We addressed the question of cold adaptation by studying microorganisms isolated from subzero environments using physiologic and genomic methods. We chose P. arcticus as our model because of its growth at subzero temperatures and widespread prevalence in permafrost. This paper focuses on the more novel potential adaptations.     

Mapping of citrullinated fibrinogen B-cell epitopes in rheumatoid arthritis by imaging surface plasmon resonance

Introduction  

Rheumatoid arthritis (RA) frequently involves the loss of tolerance to citrullinated antigens, which may play a role in pathogenicity. Citrullinated fibrinogen is commonly found in inflamed synovial tissue and is a frequent target of autoantibodies in RA patients. To obtain insight into the B-cell response to citrullinated fibrinogen in RA, its autoepitopes were systematically mapped using a new methodology.     

Comparative transcriptome analysis of Methylibium petroleiphilum PM1 exposed to the fuel oxygenates methyl tert-butyl ether and ethanol

High-density whole-genome cDNA microarrays were used to investigate substrate-dependent gene expression of Methylibium petroleiphilum PM1, one of the best-characterized aerobic methyl tert-butyl ether (MTBE)-degrading bacteria. Differential gene expression profiling was conducted with PM1 grown on MTBE and ethanol as sole carbon sources. Based on microarray high scores and protein similarity analysis, an MTBE regulon located on the megaplasmid was identified for further investigation. Putative functions for enzymes encoded in this regulon are described with relevance to the predicted MTBE degradation pathway. A new unique dioxygenase enzyme system that carries out the hydroxylation of tert-butyl alcohol to 2-methyl-2-hydroxy-1-propanol in M. petroleiphilum PM1 was discovered. Hypotheses regarding the acquisition and evolution of MTBE genes as well as the involvement of IS elements in these complex processes were formulated. The pathways for toluene, phenol, and alkane oxidation via toluene monooxygenase, phenol hydroxylase, and propane monooxygenase, respectively, were upregulated in MTBE-grown cells compared to ethanol-grown cells. Four out of nine putative cyclohexanone monooxygenases were also upregulated in MTBE-grown cells. The expression data allowed prediction of several hitherto-unknown enzymes of the upper MTBE degradation pathway in M. petroleiphilum PM1 and aided our understanding of the regulation of metabolic processes that may occur in response to pollutant mixtures and perturbations in the environment.     

Association of 25-Hydroxyvitamin D status and genetic variation in the vitamin D metabolic pathway with FEV1 in the Framingham Heart Study

Background

Vitamin D is associated with lung function in cross-sectional studies, and vitamin D inadequacy is hypothesized to play a role in the pathogenesis of chronic obstructive pulmonary disease. Further data are needed to clarify the relation between vitamin D status, genetic variation in vitamin D metabolic genes, and cross-sectional and longitudinal changes in lung function in healthy adults.

Methods

We estimated the association between serum 25-hydroxyvitamin D [25(OH)D] and cross-sectional forced expiratory volume in the first second (FEV₁) in Framingham Heart Study (FHS) Offspring and Third Generation participants and the association between serum 25(OH)D and longitudinal change in FEV₁ in Third Generation participants using linear mixed-effects models. Using a gene-based approach, we investigated the association between 241 SNPs in 6 select vitamin D metabolic genes in relation to longitudinal change in FEV₁ in Offspring participants and pursued replication of these findings in a meta-analyzed set of 4 independent cohorts.

Results

We found a positive cross-sectional association between 25(OH)D and FEV₁ in FHS Offspring and Third Generation participants (P = 0.004). There was little or no association between 25(OH)D and longitudinal change in FEV₁ in Third Generation participants (P = 0.97). In Offspring participants, the CYP2R1 gene, hypothesized to influence usual serum 25(OH)D status, was associated with longitudinal change in FEV₁ (gene-based P < 0.05). The most significantly associated SNP from CYP2R1 had a consistent direction of association with FEV₁ in the meta-analyzed set of replication cohorts, but the association did not reach statistical significance thresholds (P = 0.09).

Conclusions

Serum 25(OH)D status was associated with cross-sectional FEV₁, but not longitudinal change in FEV₁. The inconsistent associations may be driven by differences in the groups studied. CYP2R1 demonstrated a gene-based association with longitudinal change in FEV₁ and is a promising candidate gene for further studies.

Electronic supplementary material

The online version of this article (doi:10.1186/s12931-015-0238-y) contains supplementary material, which is available to authorized users.