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Many naturally occurring or artificially created RNAs are capable of binding to guanine or guanine derivatives with high affinity and selectivity. They bind their ligands using very different recognition modes involving a diverse set of hydrogen bonding and stacking interactions. Apparently, the potential structural diversity for guanine, guanosine, and guanine nucleotide binding motifs is far from being fully explored. Szostak and coworkers have derived a large set of different GTP-binding aptamer families differing widely in sequence, secondary structure, and ligand specificity. The so-called class V–GTP aptamer from this set binds GTP with very high affinity and has a complex secondary structure. Here we use solution NMR spectroscopy to demonstrate that the class V aptamer binds GTP through the formation of an intermolecular two-layered G-quadruplex structure that directly incorporates the ligand and folds only upon ligand addition. Ligand binding and G-quadruplex formation depend strongly on the identity of monovalent cations present with a clear preference for potassium ions. GTP binding through direct insertion into an intermolecular G-quadruplex is a previously unobserved structural variation for ligand-binding RNA motifs and rationalizes the previously observed specificity pattern of the class V aptamer for GTP analogs.
Shrew-1, also called AJAP1, is a transmembrane protein associated with E-cadherin-mediated adherence junctions and a putative tumor suppressor. Apart from its interaction with β-catenin and involvement in E-cadherin internalization, little structure or function information exists. Here we explored shrew-1 expression during postnatal differentiation of mammary gland as a model system. Immunohistological analyses with antibodies against either the extracellular or the cytoplasmic domains of shrew-1 consistently revealed the expression of full-length shrew-1 in myoepithelial cells, but only part of it in luminal cells. While shrew-1 localization remained unaltered in myoepithelial cells, nuclear localization occurred in luminal cells during lactation. Based on these observations, we identified two unknown shrew-1 transcript variants encoding N-terminally truncated proteins. The smallest shrew-1 protein lacks the extracellular domain and is most likely the only variant present in luminal cells. RNA analyses of human tissues confirmed that the novel transcript variants of shrew-1 exist in vivo and exhibit a differential tissue expression profile. We conclude that our findings are essential for the understanding and interpretation of future functional and interactome analyses of shrew-1 variants.
The Asian tiger mosquito Aedes albopictus, native to South East Asia, is listed as one of the worst invasive vector species worldwide. In Europe the species is currently restricted to Southern Europe, but due to the ongoing climate change, Ae. albopictus is expected to expand its potential range further northwards. In addition to modelling the habitat suitability for Ae. albopictus under current and future climatic conditions in Europe by means of the maximum entropy approach, we here focused on the drivers of the habitat suitability prediction. We explored the most limiting factors for Aedes albopictus in Europe under current and future climatic conditions, a method which has been neglected in species distribution modelling so far. Ae. albopictus is one of the best-studied mosquito species, which allowed us to evaluate the applied Maxent approach for most limiting factor mapping. We identified three key limiting factors for Ae. albopictus in Europe under current climatic conditions: winter temperature in Eastern Europe, summer temperature in Southern Europe. Model findings were in good accordance with commonly known establishment thresholds in Europe based on climate chamber experiments and derived from the geographical distribution of the species. Under future climatic conditions low winter temperature were modelled to remain the most limiting factor in Eastern Europe, whereas in Central Europe annual mean temperature and summer temperatures were modelled to be replaced by summer precipitation, respectively, as most limiting factors. Changes in the climatic conditions in terms of the identified key limiting factors will be of great relevance regarding the invasive potential of the Ae. albopictus. Thus, our results may help to understand the key drivers of the suggested range expansion under climate change and may help to improve monitoring programmes. The applied approach of investigating limiting factors has proven to yield valuable results and may also provide valuable insights into the drivers of the prediction of current and future distribution of other species. This might be particularly interesting for other vector species that are of increasing public health concerns.
Background: Aedes albopictus and Ae. japonicus are two of the most widespread invasive mosquito species that have recently become established in western Europe. Both species are associated with the transmission of a number of serious diseases and are projected to continue their spread in Europe.
Methods: In the present study, we modelled the habitat suitability for both species under current and future climatic conditions by means of an Ensemble forecasting approach. We additionally compared the modelled MAXENT niches of Ae. albopictus and Ae. japonicus regarding temperature and precipitation requirements.
Results: Both species were modelled to find suitable habitat conditions in distinct areas within Europe: Ae. albopictus within the Mediterranean regions in southern Europe, Ae. japonicus within the more temperate regions of central Europe. Only in few regions, suitable habitat conditions were projected to overlap for both species. Whereas Ae. albopictus is projected to be generally promoted by climate change in Europe, the area modelled to be climatically suitable for Ae. japonicus is projected to decrease under climate change. This projection of range reduction under climate change relies on the assumption that Ae. japonicus is not able to adapt to warmer climatic conditions. The modelled MAXENT temperature niches of Ae. japonicus were found to be narrower with an optimum at lower temperatures compared to the niches of Ae. albopictus.
Conclusions: Species distribution models identifying areas with high habitat suitability can help improving monitoring programmes for invasive species currently in place. However, as mosquito species are known to be able to adapt to new environmental conditions within the invasion range quickly, niche evolution of invasive mosquito species should be closely followed upon in future studies.
Core Facilities (CF) for advanced light microscopy (ALM) have become indispensable support units for research in the life sciences. Their organizational structure and technical characteristics are quite diverse, although the tasks they pursue and the services they offer are similar. Therefore, throughout Europe, scientists from ALM‐CFs are forming networks to promote interactions and discuss best practice models. Here, we present recommendations for ALM‐CF operations elaborated by the workgroups of the German network of ALM‐CFs, German Bio‐Imaging (GerBI). We address technical aspects of CF planning and instrument maintainance, give advice on the organization and management of an ALM‐CF, propose a scheme for the training of CF users, and provide an overview of current resources for image processing and analysis. Further, we elaborate on the new challenges and opportunities for professional development and careers created by CFs. While some information specifically refers to the German academic system, most of the content of this article is of general interest for CFs in the life sciences.
Soil fungal communities are an essential element in the terrestrial ecosystem, however their response to ongoing anthropogenic climate change is currently poorly understood. Fungi are one of the most abundant groups of microbes in soil, they are mainly responsible for the decomposition of organic matter (Baldrian et al., 2012; Buée et al., 2009). By binding carbon in soil, fungi thus maintain an important role in the global carbon cycle (Bardgett et al., 2008). Future climates are likely to influence the communities of belowground microbial organisms (Castro et al., 2010; Deacon et al., 2006). However, how these communities are affected in their diversity, composition, and function after environmental perturbation is insufficiently known.
Molecular techniques using high-throughput sequencing are presently revolutionizing the analysis of complex communities, such as soil fungi. High-throughput metabarcoding enables the recovery of DNA sequence data directly from environmental samples, and DNA sequences from entire communities present in these samples can be simultaneously recovered through massively parallel sequencing reactions (Bik et al., 2012; Taberlet et al., 2012b). This results in more accurate estimation of diversity and community composition and thus provides unprecedented insight into cryptic communities (Lindahl and Kuske, 2014). Yet, challenges associated with these novel techniques include the bioinformatic processing, and the ecological analyses of the large amount of sequence data generated. Most biologists without explicit training in bioinformatics spend a fair amount of time learning how to filter raw sequence data, and customize bioinformatics pipelines specific to their project. To improve the quality of data treatment, and decrease the time needed for the analyses, it is desirable to have bioinformatics pipelines that are easy to use, well explained to researchers not trained in bioinformatics, and adaptable to individual research needs...
This thesis describes the adaptation of Acinetobacter species to dry environments with the soil bacterium A. baylyi and the opportunistic hospital pathogen A. baumanii in its focus. The adaptation of A. baylyi and A. baumannii to osmotic stress was investigated. Compatible solutes that were uptaken from the environment or synthesized de novo to cope with the loss of water at high salinity were identified. The corresponding transporters and enzymes involved were characzerized. In addition, the desiccation resistance of A. baumannii was analyzed to elucidate its survival in hospital environments. The usage of compatible solutes during desiccation stress was analyzed and proteins that were produced were identified.
The availability of water is essential for bacterial life and if environmental conditions are awkward, bacteria have to cope with high salinitiy to prevent loss of water. In this thesis it was shown that A. baylyi synthesizes glutamate and mannitol de novo as compatible solutes in response to osmotic stress to balance the osmotic potential. The pathway for mannitol biosynthesis from Fructose-6-Phosphate (F-6-P) via Mannitol-1-Phosphate (Mtl-1-P) was elucidated and the isolation and characterization of a novel type of biofunctional enzyme was described. Interestingly, the unique bifunctional enzyme MtlD, acting as dehydrogenase and phosphatase, mediates both steps of the mannitol biosynthesis pathway. This enzyme catalyzes the reduction of F-6-P to Mtl-1-P with NADPH as reducing equivalent. The dehydrogenase activity of MtlD was salt dependent and the phosphatase activity was dependent on Mg2+ as cofactor. Phylogenetic analyses revealed that MtlD is broadly distributed among other Acinetobacter strains but not in other phylogenetic tribes.
In this thesis it is also described that, besides de novo synthesis of compatible solutes, A. baylyi takes up glycine betaine (GB) or its precursor choline by different transport systems and uses this solutes as osmoprotectants. The uptake of GB occurs via a secondary transporter (ACIAD3460) of the BCCT family. Choline is taken up as precursor and oxidized to GB by two dehydrogenases. The uptake and use of choline as GB precursor involves two transporters, whose genes are encoded in the bet cluster (BetT1, BetT2), two dehydrogenases (BetA, BetB) and a regulatory protein (BetI). Both transporters differ from each other in structure and function: BetT1 is osmo-independent and active independently of osmotic stress. BetT2 contains - in contrast to BetT1 - a long C-terminal domain for osmo-sensing and its activity highly increases in the presence of high osmolarity. The oxidation of choline occurs independently of the osmolarity of the medium but in the absence of salt stress, GB is exported. In contrast, in the presence of high salinity, GB is accumulated in the cytoplasm to balance the osmotic potential in order to prevent loss of water. The regulation of both transporters, the uptake of choline independently of the osmolarity and the export of GB under isoosmotic conditions are regulated by the transcriptional regulator BetI.
A. baumannii ATCC 19606 was also shown to cope with high salinity. Analogously to A. baylyi, A. baumannii ATCC19606 synthesizes glutamate and mannitol de novo in response to osmotic stress. The genes for the synthesis of these compatible solutes are identical to those found in A. baylyi. This suggests that the solute biosynthesis pathways of A. baumannii and A. baylyi are identical. A. baumannii was also able to take up GB and choline in response to osmotic stress and growth at high salinity was restored upon addition of GB and its precursor choline. The bet cluster was also present in the genome A. baumannii and also contains the two different choline transporters BetT1 and BetT2.
Our suggestion that choline or GB or the utilization of phosphatidylcholine as carbon source led to an increase in the survival under desiccation stress was not confirmed. However, 2D analysis of proteins produced during desiccation stress in A. baumannii led to elevated amounts of proteins implicated in biofilm formation, regulation, cell morphology and general stress response, such as Hsp60 or superoxide dismutase, both might play a role in general stress protection.
50 years of amino acid hydrophobicity scales : revisiting the capacity for peptide classification
(2016)
Background: Physicochemical properties are frequently analyzed to characterize protein-sequences of known and unknown function. Especially the hydrophobicity of amino acids is often used for structural prediction or for the detection of membrane associated or embedded β-sheets and α-helices. For this purpose many scales classifying amino acids according to their physicochemical properties have been defined over the past decades. In parallel, several hydrophobicity parameters have been defined for calculation of peptide properties. We analyzed the performance of separating sequence pools using 98 hydrophobicity scales and five different hydrophobicity parameters, namely the overall hydrophobicity, the hydrophobic moment for detection of the α-helical and β-sheet membrane segments, the alternating hydrophobicity and the exact ß-strand score.
Results: Most of the scales are capable of discriminating between transmembrane α-helices and transmembrane β-sheets, but assignment of peptides to pools of soluble peptides of different secondary structures is not achieved at the same quality. The separation capacity as measure of the discrimination between different structural elements is best by using the five different hydrophobicity parameters, but addition of the alternating hydrophobicity does not provide a large benefit. An in silico evolutionary approach shows that scales have limitation in separation capacity with a maximal threshold of 0.6 in general. We observed that scales derived from the evolutionary approach performed best in separating the different peptide pools when values for arginine and tyrosine were largely distinct from the value of glutamate. Finally, the separation of secondary structure pools via hydrophobicity can be supported by specific detectable patterns of four amino acids.
Conclusion: It could be assumed that the quality of separation capacity of a certain scale depends on the spacing of the hydrophobicity value of certain amino acids. Irrespective of the wealth of hydrophobicity scales a scale separating all different kinds of secondary structures or between soluble and transmembrane peptides does not exist reflecting that properties other than hydrophobicity affect secondary structure formation as well. Nevertheless, application of hydrophobicity scales allows distinguishing between peptides with transmembrane α-helices and β-sheets. Furthermore, the overall separation capacity score of 0.6 using different hydrophobicity parameters could be assisted by pattern search on the protein sequence level for specific peptides with a length of four amino acids.