@article{8265, abstract = {Genome rearrangements have played an important role in the evolution of Yersinia pestis from its progenitor Yersinia pseudotuberculosis. Traditional phylogenetic trees for Y. pestis based on sequence comparison have short internal branches and low bootstrap supports as only a small number of nucleotide substitutions have occurred. On the other hand, even a small number of genome rearrangements may resolve topological ambiguities in a phylogenetic tree. We reconstructed phylogenetic trees based on genome rearrangements using several popular approaches such as Maximum likelihood for Gene Order and the Bayesian model of genome rearrangements by inversions. We also reconciled phylogenetic trees for each of the three CRISPR loci to obtain an integrated scenario of the CRISPR cassette evolution. Analysis of contradictions between the obtained evolutionary trees yielded numerous parallel inversions and gain/loss events. Our data indicate that an integrated analysis of sequence-based and inversion-based trees enhances the resolution of phylogenetic reconstruction. In contrast, reconstructions of strain relationships based on solely CRISPR loci may not be reliable, as the history is obscured by large deletions, obliterating the order of spacer gains. Similarly, numerous parallel gene losses preclude reconstruction of phylogeny based on gene content.}, author = {Bochkareva, Olga and Dranenko, Natalia O. and Ocheredko, Elena S. and Kanevsky, German M. and Lozinsky, Yaroslav N. and Khalaycheva, Vera A. and Artamonova, Irena I. and Gelfand, Mikhail S.}, issn = {2167-8359}, journal = {PeerJ}, publisher = {PeerJ}, title = {{Genome rearrangements and phylogeny reconstruction in Yersinia pestis}}, doi = {10.7717/peerj.4545}, volume = {6}, year = {2018}, } @inproceedings{8297, abstract = {Designing a secure permissionless distributed ledger (blockchain) that performs on par with centralized payment processors, such as Visa, is a challenging task. Most existing distributed ledgers are unable to scale-out, i.e., to grow their totalprocessing capacity with the number of validators; and those that do, compromise security or decentralization. We present OmniLedger, a novel scale-out distributed ledger that preserves longterm security under permissionless operation. It ensures security and correctness by using a bias-resistant public-randomness protocol for choosing large, statistically representative shards that process transactions, and by introducing an efficient crossshard commit protocol that atomically handles transactions affecting multiple shards. OmniLedger also optimizes performance via parallel intra-shard transaction processing, ledger pruning via collectively-signed state blocks, and low-latency “trust-butverify” validation for low-value transactions. An evaluation ofour experimental prototype shows that OmniLedger’s throughput scales linearly in the number of active validators, supporting Visa-level workloads and beyond, while confirming typical transactions in under two seconds.}, author = {Kokoris Kogias, Eleftherios and Jovanovic, Philipp and Gasser, Linus and Gailly, Nicolas and Syta, Ewa and Ford, Bryan}, booktitle = {2018 IEEE Symposium on Security and Privacy}, isbn = {9781538643532}, issn = {2375-1207}, location = {San Francisco, CA, United States}, pages = {583--598}, publisher = {IEEE}, title = {{OmniLedger: A secure, scale-out, decentralized ledger via sharding}}, doi = {10.1109/sp.2018.000-5}, year = {2018}, } @unpublished{8547, abstract = {The cerebral cortex contains multiple hierarchically organized areas with distinctive cytoarchitectonical patterns, but the cellular mechanisms underlying the emergence of this diversity remain unclear. Here, we have quantitatively investigated the neuronal output of individual progenitor cells in the ventricular zone of the developing mouse neocortex using a combination of methods that together circumvent the biases and limitations of individual approaches. We found that individual cortical progenitor cells show a high degree of stochasticity and generate pyramidal cell lineages that adopt a wide range of laminar configurations. Mathematical modelling these lineage data suggests that a small number of progenitor cell populations, each generating pyramidal cells following different stochastic developmental programs, suffice to generate the heterogenous complement of pyramidal cell lineages that collectively build the complex cytoarchitecture of the neocortex.}, author = {Llorca, Alfredo and Ciceri, Gabriele and Beattie, Robert J and Wong, Fong K. and Diana, Giovanni and Serafeimidou, Eleni and Fernández-Otero, Marian and Streicher, Carmen and Arnold, Sebastian J. and Meyer, Martin and Hippenmeyer, Simon and Maravall, Miguel and Marín, Oscar}, booktitle = {bioRxiv}, publisher = {Cold Spring Harbor Laboratory}, title = {{Heterogeneous progenitor cell behaviors underlie the assembly of neocortical cytoarchitecture}}, doi = {10.1101/494088}, year = {2018}, } @inbook{86, abstract = {Responsiveness—the requirement that every request to a system be eventually handled—is one of the fundamental liveness properties of a reactive system. Average response time is a quantitative measure for the responsiveness requirement used commonly in performance evaluation. We show how average response time can be computed on state-transition graphs, on Markov chains, and on game graphs. In all three cases, we give polynomial-time algorithms.}, author = {Chatterjee, Krishnendu and Henzinger, Thomas A and Otop, Jan}, booktitle = {Principles of Modeling}, editor = {Lohstroh, Marten and Derler, Patricia and Sirjani, Marjan}, pages = {143 -- 161}, publisher = {Springer}, title = {{Computing average response time}}, doi = {10.1007/978-3-319-95246-8_9}, volume = {10760}, year = {2018}, } @article{9062, abstract = {Self-assembly is the autonomous organization of components into patterns or structures: an essential ingredient of biology and a desired route to complex organization1. At equilibrium, the structure is encoded through specific interactions2,3,4,5,6,7,8, at an unfavourable entropic cost for the system. An alternative approach, widely used by nature, uses energy input to bypass the entropy bottleneck and develop features otherwise impossible at equilibrium9. Dissipative building blocks that inject energy locally were made available by recent advances in colloidal science10,11 but have not been used to control self-assembly. Here we show the targeted formation of self-powered microgears from active particles and their autonomous synchronization into dynamical superstructures. We use a photoactive component that consumes fuel, haematite, to devise phototactic microswimmers that form self-spinning microgears following spatiotemporal light patterns. The gears are coupled via their chemical clouds by diffusiophoresis12 and constitute the elementary bricks of synchronized superstructures, which autonomously regulate their dynamics. The results are quantitatively rationalized on the basis of a stochastic description of diffusio-phoretic oscillators dynamically coupled by chemical gradients. Our findings harness non-equilibrium phoretic phenomena to program interactions and direct self-assembly with fidelity and specificity. It lays the groundwork for the autonomous construction of dynamical architectures and functional micro-machinery.}, author = {Aubret, Antoine and Youssef, Mena and Sacanna, Stefano and Palacci, Jérémie A}, issn = {1745-2481}, journal = {Nature Physics}, number = {11}, pages = {1114--1118}, publisher = {Springer Nature}, title = {{Targeted assembly and synchronization of self-spinning microgears}}, doi = {10.1038/s41567-018-0227-4}, volume = {14}, year = {2018}, } @article{9229, author = {Danzl, Johann G}, issn = {2500-2295}, journal = {Opera Medica et Physiologica}, number = {S1}, pages = {11}, publisher = {Lobachevsky State University of Nizhny Novgorod}, title = {{Diffraction-unlimited optical imaging for synaptic physiology}}, doi = {10.20388/omp2018.00s1.001}, volume = {4}, year = {2018}, } @inproceedings{6005, abstract = {Network games are widely used as a model for selfish resource-allocation problems. In the classicalmodel, each player selects a path connecting her source and target vertices. The cost of traversingan edge depends on theload; namely, number of players that traverse it. Thus, it abstracts the factthat different users may use a resource at different times and for different durations, which playsan important role in determining the costs of the users in reality. For example, when transmittingpackets in a communication network, routing traffic in a road network, or processing a task in aproduction system, actual sharing and congestion of resources crucially depends on time.In [13], we introducedtimed network games, which add a time component to network games.Each vertexvin the network is associated with a cost function, mapping the load onvto theprice that a player pays for staying invfor one time unit with this load. Each edge in thenetwork is guarded by the time intervals in which it can be traversed, which forces the players tospend time in the vertices. In this work we significantly extend the way time can be referred toin timed network games. In the model we study, the network is equipped withclocks, and, as intimed automata, edges are guarded by constraints on the values of the clocks, and their traversalmay involve a reset of some clocks. We argue that the stronger model captures many realisticnetworks. The addition of clocks breaks the techniques we developed in [13] and we developnew techniques in order to show that positive results on classic network games carry over to thestronger timed setting.}, author = {Avni, Guy and Guha, Shibashis and Kupferman, Orna}, issn = {1868-8969}, location = {Liverpool, United Kingdom}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, title = {{Timed network games with clocks}}, doi = {10.4230/LIPICS.MFCS.2018.23}, volume = {117}, year = {2018}, } @article{9668, abstract = {Estimating the homogeneous ice nucleation rate from undercooled liquid water is crucial for understanding many important physical phenomena and technological applications, and challenging for both experiments and theory. From a theoretical point of view, difficulties arise due to the long time scales required, as well as the numerous nucleation pathways involved to form ice nuclei with different stacking disorders. We computed the homogeneous ice nucleation rate at a physically relevant undercooling for a single-site water model, taking into account the diffuse nature of ice–water interfaces, stacking disorders in ice nuclei, and the addition rate of particles to the critical nucleus. We disentangled and investigated the relative importance of all the terms, including interfacial free energy, entropic contributions and the kinetic prefactor, that contribute to the overall nucleation rate. Breaking down the problem into pieces not only provides physical insights into ice nucleation, but also sheds light on the long-standing discrepancy between different theoretical predictions, as well as between theoretical and experimental determinations of the nucleation rate. Moreover, we pinpoint the main shortcomings and suggest strategies to systematically improve the existing simulation methods.}, author = {Cheng, Bingqing and Dellago, Christoph and Ceriotti, Michele}, issn = {1463-9084}, journal = {Physical Chemistry Chemical Physics}, number = {45}, pages = {28732--28740}, publisher = {Royal Society of Chemistry}, title = {{Theoretical prediction of the homogeneous ice nucleation rate: Disentangling thermodynamics and kinetics}}, doi = {10.1039/c8cp04561e}, volume = {20}, year = {2018}, } @article{9687, abstract = {The Gibbs free energy is the fundamental thermodynamic potential underlying the relative stability of different states of matter under constant-pressure conditions. However, computing this quantity from atomic-scale simulations is far from trivial, so the potential energy of a system is often used as a proxy. In this paper, we use a combination of thermodynamic integration methods to accurately evaluate the Gibbs free energies associated with defects in crystals, including the vacancy formation energy in bcc iron, and the stacking fault energy in fcc nickel, iron, and cobalt. We quantify the importance of entropic and anharmonic effects in determining the free energies of defects at high temperatures, and show that the potential energy approximation as well as the harmonic approximation may produce inaccurate or even qualitatively wrong results. Our calculations manifest the necessity to employ accurate free energy methods such as thermodynamic integration to estimate the stability of crystallographic defects at high temperatures.}, author = {Cheng, Bingqing and Ceriotti, Michele}, issn = {2469-9969}, journal = {Physical Review B}, number = {5}, publisher = {American Physical Society}, title = {{Computing the absolute Gibbs free energy in atomistic simulations: Applications to defects in solids}}, doi = {10.1103/physrevb.97.054102}, volume = {97}, year = {2018}, } @article{315, abstract = {More than 100 years after Grigg’s influential analysis of species’ borders, the causes of limits to species’ ranges still represent a puzzle that has never been understood with clarity. The topic has become especially important recently as many scientists have become interested in the potential for species’ ranges to shift in response to climate change—and yet nearly all of those studies fail to recognise or incorporate evolutionary genetics in a way that relates to theoretical developments. I show that range margins can be understood based on just two measurable parameters: (i) the fitness cost of dispersal—a measure of environmental heterogeneity—and (ii) the strength of genetic drift, which reduces genetic diversity. Together, these two parameters define an ‘expansion threshold’: adaptation fails when genetic drift reduces genetic diversity below that required for adaptation to a heterogeneous environment. When the key parameters drop below this expansion threshold locally, a sharp range margin forms. When they drop below this threshold throughout the species’ range, adaptation collapses everywhere, resulting in either extinction or formation of a fragmented metapopulation. Because the effects of dispersal differ fundamentally with dimension, the second parameter—the strength of genetic drift—is qualitatively different compared to a linear habitat. In two-dimensional habitats, genetic drift becomes effectively independent of selection. It decreases with ‘neighbourhood size’—the number of individuals accessible by dispersal within one generation. Moreover, in contrast to earlier predictions, which neglected evolution of genetic variance and/or stochasticity in two dimensions, dispersal into small marginal populations aids adaptation. This is because the reduction of both genetic and demographic stochasticity has a stronger effect than the cost of dispersal through increased maladaptation. The expansion threshold thus provides a novel, theoretically justified, and testable prediction for formation of the range margin and collapse of the species’ range.}, author = {Polechova, Jitka}, issn = {15449173}, journal = {PLoS Biology}, number = {6}, publisher = {Public Library of Science}, title = {{Is the sky the limit? On the expansion threshold of a species’ range}}, doi = {10.1371/journal.pbio.2005372}, volume = {16}, year = {2018}, }