Genomic changes underlying host specialization in the bee gut symbiont Lactobacillus Firm5

Bacteria that engage in long‐standing associations with particular hosts are expected to evolve host‐specific adaptations that limit their capacity to thrive in other environments. Consistent with this, many gut symbionts seem to have a limited host range, based on community profiling and phylogenomics. However, few studies have experimentally investigated host specialization of gut symbionts and the underlying mechanisms have largely remained elusive. Here, we studied host specialization of a dominant gut symbiont of social bees, Lactobacillus Firm5. We show that Firm5 strains isolated from honey bees and bumble bees separate into deep‐branching host‐specific phylogenetic lineages. Despite their divergent evolution, colonization experiments show that bumble bee strains are capable of colonizing the honey bee gut. However, they were less successful than honey bee strains, and competition with honey bee strains completely abolished their colonization. In contrast, honey bee strains of divergent phylogenetic lineages were able to coexist within individual bees. This suggests that both host selection and interbacterial competition play important roles in host specialization. Using comparative genomics of 27 Firm5 isolates, we found that the genomes of honey bee strains harbour more carbohydrate‐related functions than bumble bee strains, possibly providing a competitive advantage in the honey bee gut. Remarkably, most of the genes encoding carbohydrate‐related functions were not conserved among the honey bee strains, which suggests that honey bees can support a metabolically more diverse community of Firm5 strains than bumble bees. These findings advance our understanding of the genomic changes underlying host specialization.     

Lysosomal Signaling Licenses Embryonic Stem Cell Differentiation via Inactivation of Tfe3

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Sorting and pooling strategy: a novel tool to map a virus proteome for CD8 T-cell epitopes

Human cytomegalovirus (CMV) is a major cause of morbidity in immunocompromised individuals. However, no efficient vaccine has been developed to date. Identification of T-cell target proteins and epitopes is crucial not only for developing a successful immunization strategy, but also for new approaches using adoptive transfer of antigen-specific T-cells. The CMV genome has more than 200 open reading frames potentially coding for as many proteins. Here, we describe a robust, fast, and simple SPOT synthesis strategy, which allowed us to micro-synthesize every possible CD8 T-cell epitope in the entire potential CMV proteome. So far, 9069 of these peptides have been tested in an ex vivo T-cell stimulation assay. As well as confirming a number of previously known epitopes, we identified several new ones.     

The genotype specific competitive ability does not correlate with infection in natural Daphnia magna populations

Background

Different evolutionary hypotheses predict a correlation between the fitness of a genotype in the absence of infection and the likelihood to become infected. The cost of resistance hypothesis predicts that resistant genotypes pay a cost of being resistant and are less fit in the absence of parasites. The inbreeding-infection hypothesis predicts that the susceptible individuals are less fit due to inbreeding depression.

Methods and Results

Here we tested if a host''s natural infection status was associated with its fitness. First, we experimentally confirmed that cured but formerly infected Daphnia magna are genetically more susceptible to reinfections with Octosporea bayeri than naturally uninfected D. magna. We then collected from each of 22 populations both uninfected and infected D. magna genotypes. All were treated against parasites and kept in their asexual phase. We estimated their relative fitness in an experiment against a tester genotype and in another experiment in direct competition. Consistently, we found no difference in competitive abilities between uninfected and cured but formerly infected genotypes. This was the case both in the presence as well as in the absence of sympatric parasites during the competition trials.

Conclusions

Our data do not support the inbreeding-infection hypothesis. They also do not support a cost of resistance, however ignoring other parasite strains or parasite species. We suggest as a possible explanation for our results that resistance genes might segregate largely independently of other fitness associated genes in this system.     

Insights into the activation of brain serine racemase by the multi-PDZ domain glutamate receptor interacting protein, divalent cations and ATP

Brain serine racemase contains pyridoxal phosphate as a prosthetic group and is known to become activated by divalent cations such as Ca(2+) and Mg(2+), as well as by ATP and ADP. In vivo, brain serine racemase is also activated by a multi-PSD-95/discs large/ZO-1 (PDZ) domain glutamate receptor interacting protein (GRIP) that is usually coupled to the GluR2/3 subunits of the alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid Ca(2+) channel. In the present study, we analysed the mechanisms by which serine racemase becomes activated by GRIP, divalent cations and ATP. We show that binding of PDZ6 of GRIP to serine racemase does not result in increased d-serine production. However, full-length GRIP does augment significantly enzymatic activity. We expressed various GRIP shorter constructs to map down the regions within GRIP that are necessary for serine racemase activation. We observed that, whereas recombinant proteins containing PDZ4-PDZ5-PDZ6 are unable to activate serine racemase, other constructs containing PDZ4-PDZ5-PDZ6-GAP2-PDZ7 significantly augment its activity. Hence, activation of serine racemase by GRIP is not a direct consequence of the translocation towards the calcium channel but rather a likely conformational change induced by GRIP on serine racemase. On the other hand, the observed activation of serine racemase by divalent cations has been assumed to be a side-effect associated with ATP binding, which is known to form a complex with Mg(2+) ions. Because no mammalian serine racemase has yet been crystallized, we used molecular modelling based on yeast and bacterial homologs to demonstrate that the binding sites for Ca(2+), ATP and the PDZ6 domain of GRIP are spatially separated and modulate the enzyme through distinct mechanisms.     

Computational identification of cellular networks and pathways

In this article we highlight recent developments in computational functional genomics to identify networks of functionally related genes and proteins based on diverse sources of genomic data. Our specific focus is on statistical methods to identify genetic networks. We discuss integrated analysis of microarray datasets, methods to combine heterogeneous data sources, the analysis of high-dimensional phenotyping screens and describe efforts to establish a reliable and unbiased gold standard for method comparison and evaluation.     

Land use intensification increasingly drives the spatiotemporal patterns of the global human appropriation of net primary production in the last century

Land use has greatly transformed Earth's surface. While spatial reconstructions of how the extent of land cover and land-use types have changed during the last century are available, much less information exists about changes in land-use intensity. In particular, global reconstructions that consistently cover land-use intensity across land-use types and ecosystems are missing. We, therefore, lack understanding of how changes in land-use intensity interfere with the natural processes in land systems. To address this research gap, we map land-cover and land-use intensity changes between 1910 and 2010 for 9 points in time. We rely on the indicator framework of human appropriation of net primary production (HANPP) to quantify and map land-use-induced alterations of the carbon flows in ecosystems. We find that, while at the global aggregate level HANPP growth slowed down during the century, the spatial dynamics of changes in HANPP were increasing, with the highest change rates observed in the most recent past. Across all biomes, the importance of changes in land-use areas has declined, with the exception of the tropical biomes. In contrast, increases in land-use intensity became the most important driver of HANPP across all biomes and settings. We conducted uncertainty analyses by modulating input data and assumptions, which indicate that the spatial patterns of land use and potential net primary production are the most critical factors, while spatial allocation rules and uncertainties in overall harvest values play a smaller role. Highlighting the increasing role of land-use intensity compared to changes in the areal extent of land uses, our study supports calls for better integration of the intensity dimension into global analyses and models. On top of that, we provide important empirical input for further analyses of the sustainability of the global land system.     

New players in the field: Ecology and biocontrol potential of three species of mollusc-parasitic nematodes of the genus Phasmarhabditis

BioControl - Nematodes of the genus Phasmarhabditis are facultative parasites of molluscs with a world-wide distribution but, so far, only one species P. hermaphrodita has been thoroughly studied...