TY - JOUR A1 - Paolini, Alessio A1 - Abdelilah-Seyfried, Salim T1 - The mechanobiology of zebrafish cardiac valve leaflet formation JF - Current opinion in cell biology : review articles, recommended reading, bibliography of the world literature N2 - Over a lifetime, rhythmic contractions of the heart provide a continuous flow of blood throughout the body. An essential morphogenetic process during cardiac development which ensures unidirectional blood flow is the formation of cardiac valves. These structures are largely composed of extracellular matrix and of endocardial cells, a specialized population of endothelial cells that line the interior of the heart and that are subjected to changing hemodynamic forces. Recent studies have significantly expanded our understanding of this morphogenetic process. They highlight the importance of the mechanobiology of cardiac valve formation and show how biophysical forces due to blood flow drive biochemical and electrical signaling required for the differentiation of cells to produce cardiac valves. Y1 - 2018 U6 - https://doi.org/10.1016/j.ceb.2018.05.007 SN - 0955-0674 SN - 1879-0410 VL - 55 SP - 52 EP - 58 PB - Elsevier CY - London ER - TY - JOUR A1 - Omranian, Sara A1 - Nikoloski, Zoran A1 - Grimm, Dominik G. T1 - Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward BT - present state, challenges, and the way forward JF - Computational and structural biotechnology journal N2 - Physically interacting proteins form macromolecule complexes that drive diverse cellular processes. Advances in experimental techniques that capture interactions between proteins provide us with protein-protein interaction (PPI) networks from several model organisms. These datasets have enabled the prediction and other computational analyses of protein complexes. Here we provide a systematic review of the state-of-the-art algorithms for protein complex prediction from PPI networks proposed in the past two decades. The existing approaches that solve this problem are categorized into three groups, including: cluster-quality-based, node affinity-based, and network embedding-based approaches, and we compare and contrast the advantages and disadvantages. We further include a comparative analysis by computing the performance of eighteen methods based on twelve well-established performance measures on four widely used benchmark protein-protein interaction networks. Finally, the limitations and drawbacks of both, current data and approaches, along with the potential solutions in this field are discussed, with emphasis on the points that pave the way for future research efforts in this field. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/). KW - Protein Complex Prediction KW - Protein-Protein interaction network KW - Network KW - Clustering Algorithms KW - Network embedding Y1 - 2022 U6 - https://doi.org/10.1016/j.csbj.2022.05.049 SN - 2001-0370 VL - 20 SP - 2699 EP - 2712 PB - Research Network of Computational and Structural Biotechnology (RNCSB) CY - Gotenburg ER - TY - JOUR A1 - Omranian, Nooshin A1 - Kleessen, Sabrina A1 - Tohge, Takayuki A1 - Klie, Sebastian A1 - Basler, Georg A1 - Müller-Röber, Bernd A1 - Fernie, Alisdair A1 - Nikoloski, Zoran T1 - Differential metabolic and coexpression networks of plant metabolism JF - Trends in plant science N2 - Recent analyses have demonstrated that plant metabolic networks do not differ in their structural properties and that genes involved in basic metabolic processes show smaller coexpression than genes involved in specialized metabolism. By contrast, our analysis reveals differences in the structure of plant metabolic networks and patterns of coexpression for genes in (non)specialized metabolism. Here we caution that conclusions concerning the organization of plant metabolism based on network-driven analyses strongly depend on the computational approaches used. KW - plant specialized metabolism KW - metabolic networks KW - gene coexpression KW - differential network analysis Y1 - 2015 U6 - https://doi.org/10.1016/j.tplants.2015.02.002 SN - 1360-1385 VL - 20 IS - 5 SP - 266 EP - 268 PB - Elsevier CY - London ER - TY - JOUR A1 - Nickerson, David A1 - Atalag, Koray A1 - de Bono, Bernard A1 - Geiger, Joerg A1 - Goble, Carole A1 - Hollmann, Susanne A1 - Lonien, Joachim A1 - Mueller, Wolfgang A1 - Regierer, Babette A1 - Stanford, Natalie J. A1 - Golebiewski, Martin A1 - Hunter, Peter T1 - The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable JF - Interface focus N2 - Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning from the molecular level through to whole populations of individuals must be integrated, then personalized. This requires interoperability with multiple disparate and geographically separated data sources, and myriad computational software tools. Extracting and producing knowledge from such sources, even when the databases and software are readily available, is a challenging task. Despite the difficulties, researchers must frequently perform these tasks so that available knowledge can be continually integrated into the common framework required to realize the Human Physiome. Software and infrastructures that support the communities that generate these, together with their underlying standards to format, describe and interlink the corresponding data and computer models, are pivotal to the Human Physiome being realized. They provide the foundations for integrating, exchanging and re-using data and models efficiently, and correctly, while also supporting the dissemination of growing knowledge in these forms. In this paper, we explore the standards, software tooling, repositories and infrastructures that support this work, and detail what makes them vital to realizing the Human Physiome. KW - Human Physiome KW - standards KW - repositories KW - service infrastructure KW - reproducible science KW - managing big data Y1 - 2016 U6 - https://doi.org/10.1098/rsfs.2015.0103 SN - 2042-8898 SN - 2042-8901 VL - 6 SP - 57 EP - 61 PB - Royal Society CY - London ER - TY - JOUR A1 - Neilan, Brett A. A1 - Pearson, Leanne A. A1 - Münchhoff, Julia A1 - Moffitt, Michelle C. A1 - Dittmann-Thünemann, Elke T1 - Environmental conditions that influence toxin biosynthesis in cyanobacteria JF - Environmental microbiology N2 - Over the past 15 years, the genetic basis for production of many cyanobacterial bioactive compounds has been described. This knowledge has enabled investigations into the environmental factors that regulate the production of these toxins at the molecular level. Such molecular or systems level studies are also likely to reveal the physiological role of the toxin and contribute to effective water resource management. This review focuses on the environmental regulation of some of the most relevant cyanotoxins, namely the microcystins, nodularin, cylindrospermopsin, saxitoxins, anatoxins and jamaicamides. Y1 - 2013 U6 - https://doi.org/10.1111/j.1462-2920.2012.02729.x SN - 1462-2912 VL - 15 IS - 5 SP - 1239 EP - 1253 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Nakamura, Moritaka A1 - Grebe, Markus T1 - Outer, inner and planar polarity in the Arabidopsis root JF - Current opinion in plant biology N2 - Plant roots control uptake of water and nutrients and cope with environmental challenges. The root epidermis provides the first selective interface for nutrient absorption, while the endodermis produces the main apoplastic diffusion barrier in the form of a structure called the Casparian strip. The positioning of root hairs on epidermal cells, and of the Casparian strip around endodermal cells, requires asymmetries along cellular axes (cell polarity). Cell polarity is termed planar polarity, when coordinated within the plane of a given tissue layer. Here, we review recent molecular advances towards understanding both the polar positioning of the proteo-lipid membrane domain instructing root hair initiation, and the cytoskeletal, trafficking and polar tethering requirements of proteins at outer or inner plasma membrane domains. Finally, we highlight progress towards understanding mechanisms of Casparian strip formation and underlying endodermal cell polarity. Y1 - 2017 U6 - https://doi.org/10.1016/j.pbi.2017.08.002 SN - 1369-5266 SN - 1879-0356 VL - 41 SP - 46 EP - 53 PB - Elsevier CY - London ER - TY - JOUR A1 - Mühlenbruch, Marco A1 - Grossart, Hans-Peter A1 - Eigemann, Falk A1 - Voss, Maren T1 - Mini-review: Phytoplankton-derived polysaccharides in the marine environment and their interactions with heterotrophic bacteria JF - Environmental microbiology N2 - Within the wealth of molecules constituting marine dissolved organic matter, carbohydrates make up the largest coherent and quantifiable fraction. Their main sources are from primary producers, which release large amounts of photosynthetic products – mainly polysaccharides – directly into the surrounding water via passive and active exudation. The organic carbon and other nutrients derived from these photosynthates enrich the ‘phycosphere’ and attract heterotrophic bacteria. The rapid uptake and remineralization of dissolved free monosaccharides by heterotrophic bacteria account for the barely detectable levels of these compounds. By contrast, dissolved combined polysaccharides can reach high concentrations, especially during phytoplankton blooms. Polysaccharides are too large to be taken up directly by heterotrophic bacteria, instead requiring hydrolytic cleavage to smaller oligo- or monomers by bacteria with a suitable set of exoenzymes. The release of diverse polysaccharides by various phytoplankton taxa is generally interpreted as the deposition of excess organic material. However, these molecules likely also fulfil distinct, yet not fully understood functions, as inferred from their active modulation in terms of quality and quantity when phytoplankton becomes nutrient limited or is exposed to heterotrophic bacteria. This minireview summarizes current knowledge regarding the exudation and composition of phytoplankton-derived exopolysaccharides and acquisition of these compounds by heterotrophic bacteria. Y1 - 2018 U6 - https://doi.org/10.1111/1462-2920.14302 SN - 1462-2912 SN - 1462-2920 VL - 20 IS - 8 SP - 2671 EP - 2685 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Mulder, Christian A1 - Boit, Alice A1 - Mori, Shigeta A1 - Vonk, J. Arie A1 - Dyer, Scott D. A1 - Faggiano, Leslie A1 - Geisen, Stefan A1 - Gonzalez, Angelica L. A1 - Kaspari, Michael A1 - Lavorel, Sandra A1 - Marquet, Pablo A. A1 - Rossberg, Axel G. A1 - Sterner, Robert W. A1 - Voigt, Winfried A1 - Wall, Diana H. ED - Jacob, U ED - Woodward, G T1 - Distributional (In)Congruence of Biodiversity-Ecosystem Functioning JF - Advances in ecological research JF - Advances in Ecological Research N2 - The majority of research on biodiversity ecosystem functioning in laboratories has concentrated on a few traits, but there is increasing evidence from the field that functional diversity controls ecosystem functioning more often than does species number. Given the importance of traits as predictors of niche complementarity and community structures, we (1) examine how the diversity sensu lato of forest trees, freshwater fishes and soil invertebrates might support ecosystem functioning and (2) discuss the relevance of productive biota for monophyletic assemblages (taxocenes). In terrestrial ecosystems, correlating traits to abiotic factors is complicated by the appropriate choice of body-size distributions. Angiosperm and gymnosperm trees, for example, show metabolic incongruences in their respiration rates despite their pronounced macroecological scaling. Scaling heterotrophic organisms within their monophyletic assemblages seems more difficult than scaling autotrophs: in contrast to the generally observed decline of mass-specific metabolic rates with body mass within metazoans, soil organisms such as protozoans show opposite mass-specific trends. At the community level, the resource demand of metazoans shapes multitrophic interactions. Hence, population densities and their food web relationships reflect functional diversity, but the influence of biodiversity on stability and ecosystem functioning remains less clear. We focused on fishes in 18 riverine food webs, where the ratio of primary versus secondary extinctions (hereafter, 'extinction partitioning') summarizes the responses of fish communities to primary species loss (deletions) and its consequences. Based on extinction partitioning, our high-diversity food webs were just as (or even more) vulnerable to extinctions as low-diversity food webs. Our analysis allows us to assess consequences of the relocation or removal of fish species and to help with decision-making in sustainable river management. The study highlights that the topology of food webs (and not simply taxonomic diversity) plays a greater role in stabilizing the food web and enhancing ecological services than is currently acknowledged. Y1 - 2012 SN - 978-0-12-396992-7 U6 - https://doi.org/10.1016/B978-0-12-396992-7.00001-0 SN - 0065-2504 VL - 46 SP - 1 EP - 88 PB - Elsevier CY - San Diego ER - TY - JOUR A1 - Mulder, Christian A1 - Boit, Alice A1 - Bonkowski, Michael A1 - De Ruiter, Peter C. A1 - Mancinelli, Giorgio A1 - Van der Heijden, Marcel G. A. A1 - Van Wijnen, Harm J. A1 - Vonk, J. Arie A1 - Rutgers, Michiel ED - Woodward, G T1 - A belowground perspective on dutch agroecosystems how soil organisms interact to support ecosystem services JF - Advances in ecological research JF - Advances in Ecological Research N2 - 1. New patterns and trends in land use are becoming increasingly evident in Europe's heavily modified landscape and else whereas sustainable agriculture and nature restoration are developed as viable long-term alternatives to intensively farmed arable land. The success of these changes depends on how soil biodiversity and processes respond to changes in management. To improve our understanding of the community structure and ecosystem functioning of the soil biota, we analyzed abiotic variables across 200 sites, and biological variables across 170 sites in The Netherlands, one of the most intensively farmed countries. The data were derived from the Dutch Soil Quality Network (DSQN), a long-term monitoring framework designed to obtain ecological insight into soil types (STs) and ecosystem types (ETs). 2. At the outset we describe STs and biota, and we estimate the contribution of various groups to the provision of ecosystem services. We focused on interactive effects of soil properties on community patterns and ecosystem functioning using food web models. Ecologists analyze soil food webs by means of mechanistic and statistical modelling, linking network structure to energy flow and elemental dynamics commonly based on allometric scaling. 3. We also explored how predatory and metabolic processes are constrained by body size, diet and metabolic type, and how these constraints govern the interactions within and between trophic groups. In particular, we focused on how elemental fluxes determine the strengths of ecological interactions, and the resulting ecosystem services, in terms of sustenance of soil fertility. 4. We discuss data mining, food web visualizations, and an appropriate categorical way to capture subtle interrelationships within the DSQN dataset. Sampled metazoans were used to provide an overview of below-ground processes and influences of land use. Unlike most studies to date we used data from the entire size spectrum, across 15 orders of magnitude, using body size as a continuous trait crucial for understanding ecological services. 5. Multimodality in the frequency distributions of body size represents a performance filter that acts as a buffer to environmental change. Large differences in the body-size distributions across ETs and STs were evident. Most observed trends support the hypothesis that the direct influence of ecological stoichiometry on the soil biota as an independent predictor (e.g. in the form of nutrient to carbon ratios), and consequently on the allometric scaling, is more dominant than either ET or ST. This provides opportunities to develop a mechanistic and physiologically oriented model for the distribution of species' body sizes, where responses of invertebrates can be predicted. 6. Our results highlight the different roles that organisms play in a number of key ecosystem services. Such a trait-based research has unique strengths in its rigorous formulation of fundamental scaling rules, as well as in its verifiability by empirical data. Nonetheless, it still has weaknesses that remain to be addressed, like the consequences of intraspecific size variation, the high degree of omnivory, and a possibly inaccurate assignment to trophic groups. 7. Studying the extent to which nutrient levels influence multitrophic interactions and how different land-use regimes affect soil biodiversity is clearly a fruitful area for future research to develop predictive models for soil ecosystem services under different management regimes. No similar efforts have been attempted previously for soil food webs, and our dataset has the potential to test and further verify its usefulness at an unprecedented space scale. Y1 - 2011 SN - 978-0-12-374794-5 U6 - https://doi.org/10.1016/B978-0-12-374794-5.00005-5 SN - 0065-2504 VL - 44 IS - 2 SP - 277 EP - 357 PB - Elsevier CY - San Diego ER - TY - JOUR A1 - Micheel, Burkhard T1 - Stichworte zu Thema Immunologie Y1 - 2000 ER -