@article{1697,
  abstract     = {Motion tracking is a challenge the visual system has to solve by reading out the retinal population. It is still unclear how the information from different neurons can be combined together to estimate the position of an object. Here we recorded a large population of ganglion cells in a dense patch of salamander and guinea pig retinas while displaying a bar moving diffusively. We show that the bar’s position can be reconstructed from retinal activity with a precision in the hyperacuity regime using a linear decoder acting on 100+ cells. We then took advantage of this unprecedented precision to explore the spatial structure of the retina’s population code. The classical view would have suggested that the firing rates of the cells form a moving hill of activity tracking the bar’s position. Instead, we found that most ganglion cells in the salamander fired sparsely and idiosyncratically, so that their neural image did not track the bar. Furthermore, ganglion cell activity spanned an area much larger than predicted by their receptive fields, with cells coding for motion far in their surround. As a result, population redundancy was high, and we could find multiple, disjoint subsets of neurons that encoded the trajectory with high precision. This organization allows for diverse collections of ganglion cells to represent high-accuracy motion information in a form easily read out by downstream neural circuits.},
  author       = {Marre, Olivier and Botella Soler, Vicente and Simmons, Kristina and Mora, Thierry and Tkacik, Gasper and Berry, Michael},
  journal      = {PLoS Computational Biology},
  number       = {7},
  publisher    = {Public Library of Science},
  title        = {{High accuracy decoding of dynamical motion from a large retinal population}},
  doi          = {10.1371/journal.pcbi.1004304},
  volume       = {11},
  year         = {2015},
}

@article{1698,
  abstract     = {In mean-payoff games, the objective of the protagonist is to ensure that the limit average of an infinite sequence of numeric weights is nonnegative. In energy games, the objective is to ensure that the running sum of weights is always nonnegative. Multi-mean-payoff and multi-energy games replace individual weights by tuples, and the limit average (resp., running sum) of each coordinate must be (resp., remain) nonnegative. We prove finite-memory determinacy of multi-energy games and show inter-reducibility of multi-mean-payoff and multi-energy games for finite-memory strategies. We improve the computational complexity for solving both classes with finite-memory strategies: we prove coNP-completeness improving the previous known EXPSPACE bound. For memoryless strategies, we show that deciding the existence of a winning strategy for the protagonist is NP-complete. We present the first solution of multi-mean-payoff games with infinite-memory strategies: we show that mean-payoff-sup objectives can be decided in NP∩coNP, whereas mean-payoff-inf objectives are coNP-complete.},
  author       = {Velner, Yaron and Chatterjee, Krishnendu and Doyen, Laurent and Henzinger, Thomas A and Rabinovich, Alexander and Raskin, Jean},
  journal      = {Information and Computation},
  number       = {4},
  pages        = {177 -- 196},
  publisher    = {Elsevier},
  title        = {{The complexity of multi-mean-payoff and multi-energy games}},
  doi          = {10.1016/j.ic.2015.03.001},
  volume       = {241},
  year         = {2015},
}

@article{1699,
  abstract     = {By hybridization and backcrossing, alleles can surmount species boundaries and be incorporated into the genome of a related species. This introgression of genes is of particular evolutionary relevance if it involves the transfer of adaptations between populations. However, any beneficial allele will typically be associated with other alien alleles that are often deleterious and hamper the introgression process. In order to describe the introgression of an adaptive allele, we set up a stochastic model with an explicit genetic makeup of linked and unlinked deleterious alleles. Based on the theory of reducible multitype branching processes, we derive a recursive expression for the establishment probability of the beneficial allele after a single hybridization event. We furthermore study the probability that slightly deleterious alleles hitchhike to fixation. The key to the analysis is a split of the process into a stochastic phase in which the advantageous alleles establishes and a deterministic phase in which it sweeps to fixation. We thereafter apply the theory to a set of biologically relevant scenarios such as introgression in the presence of many unlinked or few closely linked deleterious alleles. A comparison to computer simulations shows that the approximations work well over a large parameter range.},
  author       = {Uecker, Hildegard and Setter, Derek and Hermisson, Joachim},
  journal      = {Journal of Mathematical Biology},
  number       = {7},
  pages        = {1523 -- 1580},
  publisher    = {Springer},
  title        = {{Adaptive gene introgression after secondary contact}},
  doi          = {10.1007/s00285-014-0802-y},
  volume       = {70},
  year         = {2015},
}

@article{1700,
  abstract     = {We use the dual boson approach to reveal the phase diagram of the Fermi-Hubbard model with long-range dipole-dipole interactions. By using a large-scale finite-temperature calculation on a 64×64 square lattice we demonstrate the existence of a novel phase, possessing an &quot;ultralong-range&quot; order. The fingerprint of this phase - the density correlation function - features a nontrivial behavior on a scale of tens of lattice sites. We study the properties and the stability of the ultralong-range-ordered phase, and show that it is accessible in modern experiments with ultracold polar molecules and magnetic atoms.},
  author       = {Van Loon, Erik and Katsnelson, Mikhail and Lemeshko, Mikhail},
  journal      = {Physical Review B},
  number       = {8},
  publisher    = {American Physical Society},
  title        = {{Ultralong-range order in the Fermi-Hubbard model with long-range interactions}},
  doi          = {10.1103/PhysRevB.92.081106},
  volume       = {92},
  year         = {2015},
}

@article{1701,
  abstract     = {The activity of a neural network is defined by patterns of spiking and silence from the individual neurons. Because spikes are (relatively) sparse, patterns of activity with increasing numbers of spikes are less probable, but, with more spikes, the number of possible patterns increases. This tradeoff between probability and numerosity is mathematically equivalent to the relationship between entropy and energy in statistical physics. We construct this relationship for populations of up to N = 160 neurons in a small patch of the vertebrate retina, using a combination of direct and model-based analyses of experiments on the response of this network to naturalistic movies. We see signs of a thermodynamic limit, where the entropy per neuron approaches a smooth function of the energy per neuron as N increases. The form of this function corresponds to the distribution of activity being poised near an unusual kind of critical point. We suggest further tests of criticality, and give a brief discussion of its functional significance. },
  author       = {Tkacik, Gasper and Mora, Thierry and Marre, Olivier and Amodei, Dario and Palmer, Stephanie and Berry Ii, Michael and Bialek, William},
  journal      = {PNAS},
  number       = {37},
  pages        = {11508 -- 11513},
  publisher    = {National Academy of Sciences},
  title        = {{Thermodynamics and signatures of criticality in a network of neurons}},
  doi          = {10.1073/pnas.1514188112},
  volume       = {112},
  year         = {2015},
}

@article{1703,
  abstract     = {Vegetation clearing and land-use change have depleted many natural plant communities to the point where restoration is required. A major impediment to the success of rebuilding complex vegetation communities is having regular access to sufficient quantities of high-quality seed. Seed-production areas (SPAs) can help generate this seed, but these must be underpinned by a broad genetic base to maximise the evolutionary potential of restored populations. However, genetic bottlenecks can occur at the collection, establishment and production stages in SPAs, requiring genetic evaluation. This is especially relevant for species that may take many years before a return on SPA investment is realised. Two recently established yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated to determine whether genetic bottlenecks had occurred between seed collection and SPA establishment. No evidence was found to suggest that a significant loss of genetic diversity had occurred at this stage, although there was a significant difference in diversity between the two SPAs. Complex population genetic structure was also observed in the seed used to source the SPAs, with up to eight groups identified. Plant survival in the SPAs was influenced by seed collection location but not by SPA location and was not associated with genetic diversity. There were also no associations between genetic diversity and plant growth. These data highlighted the importance of chance events when establishing SPAs and indicated that the two yellow box SPAs are likely to provide genetically diverse seed sources for future restoration projects, especially by pooling seed from both SPAs.},
  author       = {Broadhurst, Linda and Fifield, Graham and Vanzella, Bindi and Pickup, Melinda},
  journal      = {Australian Journal of Botany},
  number       = {5},
  pages        = {455 -- 466},
  publisher    = {CSIRO},
  title        = {{An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas}},
  doi          = {10.1071/BT15023},
  volume       = {63},
  year         = {2015},
}

@article{1704,
  abstract     = {Given a convex function (Formula presented.) and two hermitian matrices A and B, Lewin and Sabin study in (Lett Math Phys 104:691–705, 2014) the relative entropy defined by (Formula presented.). Among other things, they prove that the so-defined quantity is monotone if and only if (Formula presented.) is operator monotone. The monotonicity is then used to properly define (Formula presented.) for bounded self-adjoint operators acting on an infinite-dimensional Hilbert space by a limiting procedure. More precisely, for an increasing sequence of finite-dimensional projections (Formula presented.) with (Formula presented.) strongly, the limit (Formula presented.) is shown to exist and to be independent of the sequence of projections (Formula presented.). The question whether this sequence converges to its &quot;obvious&quot; limit, namely (Formula presented.), has been left open. We answer this question in principle affirmatively and show that (Formula presented.). If the operators A and B are regular enough, that is (A − B), (Formula presented.) and (Formula presented.) are trace-class, the identity (Formula presented.) holds.},
  author       = {Deuchert, Andreas and Hainzl, Christian and Seiringer, Robert},
  journal      = {Letters in Mathematical Physics},
  number       = {10},
  pages        = {1449 -- 1466},
  publisher    = {Springer},
  title        = {{Note on a family of monotone quantum relative entropies}},
  doi          = {10.1007/s11005-015-0787-5},
  volume       = {105},
  year         = {2015},
}

@inproceedings{1706,
  abstract     = {We consider a problem of learning kernels for use in SVM classification in the multi-task and lifelong scenarios and provide generalization bounds on the error of a large margin classifier. Our results show that, under mild conditions on the family of kernels used for learning, solving several related tasks simultaneously is beneficial over single task learning. In particular, as the number of observed tasks grows, assuming that in the considered family of kernels there exists one that yields low approximation error on all tasks, the overhead associated with learning such a kernel vanishes and the complexity converges to that of learning when this good kernel is given to the learner.},
  author       = {Pentina, Anastasia and Ben David, Shai},
  location     = {Banff, AB, Canada},
  pages        = {194 -- 208},
  publisher    = {Springer},
  title        = {{Multi-task and lifelong learning of kernels}},
  doi          = {10.1007/978-3-319-24486-0_13},
  volume       = {9355},
  year         = {2015},
}

@article{1709,
  abstract     = {The competition for resources among cells, individuals or species is a fundamental characteristic of evolution. Biological all-pay auctions have been used to model situations where multiple individuals compete for a single resource. However, in many situations multiple resources with various values exist and single reward auctions are not applicable. We generalize the model to multiple rewards and study the evolution of strategies. In biological all-pay auctions the bid of an individual corresponds to its strategy and is equivalent to its payment in the auction. The decreasingly ordered rewards are distributed according to the decreasingly ordered bids of the participating individuals. The reproductive success of an individual is proportional to its fitness given by the sum of the rewards won minus its payments. Hence, successful bidding strategies spread in the population. We find that the results for the multiple reward case are very different from the single reward case. While the mixed strategy equilibrium in the single reward case with more than two players consists of mostly low-bidding individuals, we show that the equilibrium can convert to many high-bidding individuals and a few low-bidding individuals in the multiple reward case. Some reward values lead to a specialization among the individuals where one subpopulation competes for the rewards and the other subpopulation largely avoids costly competitions. Whether the mixed strategy equilibrium is an evolutionarily stable strategy (ESS) depends on the specific values of the rewards.},
  author       = {Reiter, Johannes and Kanodia, Ayush and Gupta, Raghav and Nowak, Martin and Chatterjee, Krishnendu},
  journal      = {Proceedings of the Royal Society of London Series B Biological Sciences},
  number       = {1812},
  publisher    = {Royal Society},
  title        = {{Biological auctions with multiple rewards}},
  doi          = {10.1098/rspb.2015.1041},
  volume       = {282},
  year         = {2015},
}

@article{1710,
  abstract     = {We consider the hollow on the half-plane {(x, y) : y ≤ 0} ⊂ ℝ2 defined by a function u : (-1, 1) → ℝ, u(x) &lt; 0, and a vertical flow of point particles incident on the hollow. It is assumed that u satisfies the so-called single impact condition (SIC): each incident particle is elastically reflected by graph(u) and goes away without hitting the graph of u anymore. We solve the problem: find the function u minimizing the force of resistance created by the flow. We show that the graph of the minimizer is formed by two arcs of parabolas symmetric to each other with respect to the y-axis. Assuming that the resistance of u ≡ 0 equals 1, we show that the minimal resistance equals π/2 - 2arctan(1/2) ≈ 0.6435. This result completes the previously obtained result [SIAM J. Math. Anal., 46 (2014), pp. 2730-2742] stating in particular that the minimal resistance of a hollow in higher dimensions equals 0.5. We additionally consider a similar problem of minimal resistance, where the hollow in the half-space {(x1,...,xd,y) : y ≤ 0} ⊂ ℝd+1 is defined by a radial function U satisfying the SIC, U(x) = u(|x|), with x = (x1,...,xd), u(ξ) &lt; 0 for 0 ≤ ξ &lt; 1, and u(ξ) = 0 for ξ ≥ 1, and the flow is parallel to the y-axis. The minimal resistance is greater than 0.5 (and coincides with 0.6435 when d = 1) and converges to 0.5 as d → ∞.},
  author       = {Akopyan, Arseniy and Plakhov, Alexander},
  journal      = {Society for Industrial and Applied Mathematics},
  number       = {4},
  pages        = {2754 -- 2769},
  publisher    = {SIAM},
  title        = {{Minimal resistance of curves under the single impact assumption}},
  doi          = {10.1137/140993843},
  volume       = {47},
  year         = {2015},
}

@article{1712,
  abstract     = {The majority of immune cells in Drosophila melanogaster are plasmatocytes; they carry out similar functions to vertebrate macrophages, influencing development as well as protecting against infection and cancer. Plasmatocytes, sometimes referred to with the broader term of hemocytes, migrate widely during embryonic development and cycle in the larvae between sessile and circulating positions. Here we discuss the similarities of plasmatocyte developmental migration and its functions to that of vertebrate macrophages, considering the recent controversy regarding the functions of Drosophila PDGF/VEGF related ligands. We also examine recent findings on the significance of adhesion for plasmatocyte migration in the embryo, as well as proliferation, trans-differentiation, and tumor responses in the larva. We spotlight parallels throughout to vertebrate immune responses.},
  author       = {Ratheesh, Aparna and Belyaeva, Vera and Siekhaus, Daria E},
  journal      = {Current Opinion in Cell Biology},
  number       = {10},
  pages        = {71 -- 79},
  publisher    = {Elsevier},
  title        = {{Drosophila immune cell migration and adhesion during embryonic development and larval immune responses}},
  doi          = {10.1016/j.ceb.2015.07.003},
  volume       = {36},
  year         = {2015},
}

@inproceedings{1714,
  abstract     = {We present a flexible framework for the automated competitive analysis of on-line scheduling algorithms for firm-deadline real-time tasks based on multi-objective graphs: Given a task set and an on-line scheduling algorithm specified as a labeled transition system, along with some optional safety, liveness, and/or limit-average constraints for the adversary, we automatically compute the competitive ratio of the algorithm w.r.t. A clairvoyant scheduler. We demonstrate the flexibility and power of our approach by comparing the competitive ratio of several on-line algorithms, including Dover, that have been proposed in the past, for various task sets. Our experimental results reveal that none of these algorithms is universally optimal, in the sense that there are task sets where other schedulers provide better performance. Our framework is hence a very useful design tool for selecting optimal algorithms for a given application.},
  author       = {Chatterjee, Krishnendu and Pavlogiannis, Andreas and Kößler, Alexander and Schmid, Ulrich},
  booktitle    = {Real-Time Systems Symposium},
  location     = {Rome, Italy},
  number       = {January},
  pages        = {118 -- 127},
  publisher    = {IEEE},
  title        = {{A framework for automated competitive analysis of on-line scheduling of firm-deadline tasks}},
  doi          = {10.1109/RTSS.2014.9},
  volume       = {2015},
  year         = {2015},
}

@article{1845,
  abstract     = {Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression. Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression.},
  author       = {Vandael, David H and Espinoza Martinez, Claudia  and Jonas, Peter M},
  journal      = {Neuron},
  number       = {6},
  pages        = {1149 -- 1151},
  publisher    = {Elsevier},
  title        = {{Excitement about inhibitory presynaptic terminals}},
  doi          = {10.1016/j.neuron.2015.03.006},
  volume       = {85},
  year         = {2015},
}

@article{1846,
  abstract     = {Modal transition systems (MTS) is a well-studied specification formalism of reactive systems supporting a step-wise refinement methodology. Despite its many advantages, the formalism as well as its currently known extensions are incapable of expressing some practically needed aspects in the refinement process like exclusive, conditional and persistent choices. We introduce a new model called parametric modal transition systems (PMTS) together with a general modal refinement notion that overcomes many of the limitations. We investigate the computational complexity of modal and thorough refinement checking on PMTS and its subclasses and provide a direct encoding of the modal refinement problem into quantified Boolean formulae, allowing us to employ state-of-the-art QBF solvers for modal refinement checking. The experiments we report on show that the feasibility of refinement checking is more influenced by the degree of nondeterminism rather than by the syntactic restrictions on the types of formulae allowed in the description of the PMTS.},
  author       = {Beneš, Nikola and Kretinsky, Jan and Larsen, Kim and Möller, Mikael and Sickert, Salomon and Srba, Jiří},
  journal      = {Acta Informatica},
  number       = {2-3},
  pages        = {269 -- 297},
  publisher    = {Springer},
  title        = {{Refinement checking on parametric modal transition systems}},
  doi          = {10.1007/s00236-015-0215-4},
  volume       = {52},
  year         = {2015},
}

@article{1847,
  author       = {Grones, Peter and Friml, Jiřĺ},
  journal      = {Molecular Plant},
  number       = {3},
  pages        = {356 -- 358},
  publisher    = {Elsevier},
  title        = {{ABP1: Finally docking}},
  doi          = {10.1016/j.molp.2014.12.013},
  volume       = {8},
  year         = {2015},
}

@article{1848,
  abstract     = {The ability to escape apoptosis is a hallmark of cancer-initiating cells and a key factor of resistance to oncolytic therapy. Here, we identify FAM96A as a ubiquitous, evolutionarily conserved apoptosome-activating protein and investigate its potential pro-apoptotic tumor suppressor function in gastrointestinal stromal tumors (GISTs). Interaction between FAM96A and apoptotic peptidase activating factor 1 (APAF1) was identified in yeast two-hybrid screen and further studied by deletion mutants, glutathione-S-transferase pull-down, co-immunoprecipitation and immunofluorescence. Effects of FAM96A overexpression and knock-down on apoptosis sensitivity were examined in cancer cells and zebrafish embryos. Expression of FAM96A in GISTs and histogenetically related cells including interstitial cells of Cajal (ICCs), “fibroblast-like cells” (FLCs) and ICC stem cells (ICC-SCs) was investigated by Northern blotting, reverse transcription—polymerase chain reaction, immunohistochemistry and Western immunoblotting. Tumorigenicity of GIST cells and transformed murine ICC-SCs stably transduced to re-express FAM96A was studied by xeno- and allografting into immunocompromised mice. FAM96A was found to bind APAF1 and to enhance the induction of mitochondrial apoptosis. FAM96A protein or mRNA was dramatically reduced or lost in 106 of 108 GIST samples representing three independent patient cohorts. Whereas ICCs, ICC-SCs and FLCs, the presumed normal counterparts of GIST, were found to robustly express FAM96A protein and mRNA, FAM96A expression was much reduced in tumorigenic ICC-SCs. Re-expression of FAM96A in GIST cells and transformed ICC-SCs increased apoptosis sensitivity and diminished tumorigenicity. Our data suggest FAM96A is a novel pro-apoptotic tumor suppressor that is lost during GIST tumorigenesis.},
  author       = {Schwamb, Bettina and Pick, Robert and Fernández, Sara and Völp, Kirsten and Heering, Jan and Dötsch, Volker and Bösser, Susanne and Jung, Jennifer and Beinoravičiute Kellner, Rasa and Wesely, Josephine and Zörnig, Inka and Hammerschmidt, Matthias and Nowak, Matthias and Penzel, Roland and Zatloukal, Kurt and Joos, Stefan and Rieker, Ralf and Agaimy, Abbas and Söder, Stephan and Reid Lombardo, Kmarie and Kendrick, Michael and Bardsley, Michael and Hayashi, Yujiro and Asuzu, David and Syed, Sabriya and Ördög, Tamás and Zörnig, Martin},
  journal      = {International Journal of Cancer},
  number       = {6},
  pages        = {1318 -- 1329},
  publisher    = {Wiley},
  title        = {{FAM96A is a novel pro-apoptotic tumor suppressor in gastrointestinal stromal tumors}},
  doi          = {10.1002/ijc.29498},
  volume       = {137},
  year         = {2015},
}

@article{1849,
  abstract     = {Cell polarity is a fundamental property of pro- and eukaryotic cells. It is necessary for coordination of cell division, cell morphogenesis and signaling processes. How polarity is generated and maintained is a complex issue governed by interconnected feed-back regulations between small GTPase signaling and membrane tension-based signaling that controls membrane trafficking, and cytoskeleton organization and dynamics. Here, we will review the potential role for calcium as a crucial signal that connects and coordinates the respective processes during polarization processes in plants. This article is part of a Special Issue entitled: 13th European Symposium on Calcium.},
  author       = {Himschoot, Ellie and Beeckman, Tom and Friml, Jiřĺ and Vanneste, Steffen},
  journal      = {Biochimica et Biophysica Acta - Molecular Cell Research},
  number       = {9},
  pages        = {2168 -- 2172},
  publisher    = {Elsevier},
  title        = {{Calcium is an organizer of cell polarity in plants}},
  doi          = {10.1016/j.bbamcr.2015.02.017},
  volume       = {1853},
  year         = {2015},
}

@article{1850,
  abstract     = {Entomopathogenic fungi are potent biocontrol agents that are widely used against insect pests, many of which are social insects. Nevertheless, theoretical investigations of their particular life history are scarce. We develop a model that takes into account the main distinguishing features between traditionally studied diseases and obligate killing pathogens, like the (biocontrol-relevant) insect-pathogenic fungi Metarhizium and Beauveria. First, obligate killing entomopathogenic fungi produce new infectious particles (conidiospores) only after host death and not yet on the living host. Second, the killing rates of entomopathogenic fungi depend strongly on the initial exposure dosage, thus we explicitly consider the pathogen load of individual hosts. Further, we make the model applicable not only to solitary host species, but also to group living species by incorporating social interactions between hosts, like the collective disease defences of insect societies. Our results identify the optimal killing rate for the pathogen that minimises its invasion threshold. Furthermore, we find that the rate of contact between hosts has an ambivalent effect: dense interaction networks between individuals are considered to facilitate disease outbreaks because of increased pathogen transmission. In social insects, this is compensated by their collective disease defences, i.e., social immunity. For the type of pathogens considered here, we show that even without social immunity, high contact rates between live individuals dilute the pathogen in the host colony and hence can reduce individual pathogen loads below disease-causing levels.},
  author       = {Novak, Sebastian and Cremer, Sylvia},
  journal      = {Journal of Theoretical Biology},
  number       = {5},
  pages        = {54 -- 64},
  publisher    = {Elsevier},
  title        = {{Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates}},
  doi          = {10.1016/j.jtbi.2015.02.018},
  volume       = {372},
  year         = {2015},
}

@article{1851,
  abstract     = {We consider mating strategies for females who search for males sequentially during a season of limited length. We show that the best strategy rejects a given male type if encountered before a time-threshold but accepts him after. For frequency-independent benefits, we obtain the optimal time-thresholds explicitly for both discrete and continuous distributions of males, and allow for mistakes being made in assessing the correct male type. When the benefits are indirect (genes for the offspring) and the population is under frequency-dependent ecological selection, the benefits depend on the mating strategy of other females as well. This case is particularly relevant to speciation models that seek to explore the stability of reproductive isolation by assortative mating under frequency-dependent ecological selection. We show that the indirect benefits are to be quantified by the reproductive values of couples, and describe how the evolutionarily stable time-thresholds can be found. We conclude with an example based on the Levene model, in which we analyze the evolutionarily stable assortative mating strategies and the strength of reproductive isolation provided by them.},
  author       = {Priklopil, Tadeas and Kisdi, Eva and Gyllenberg, Mats},
  issn         = {1558-5646},
  journal      = {Evolution},
  number       = {4},
  pages        = {1015 -- 1026},
  publisher    = {Wiley},
  title        = {{Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating}},
  doi          = {10.1111/evo.12618},
  volume       = {69},
  year         = {2015},
}

@article{1855,
  abstract     = {Summary: Declining populations of bee pollinators are a cause of concern, with major repercussions for biodiversity loss and food security. RNA viruses associated with honeybees represent a potential threat to other insect pollinators, but the extent of this threat is poorly understood. This study aims to attain a detailed understanding of the current and ongoing risk of emerging infectious disease (EID) transmission between managed and wild pollinator species across a wide range of RNA viruses. Within a structured large-scale national survey across 26 independent sites, we quantify the prevalence and pathogen loads of multiple RNA viruses in co-occurring managed honeybee (Apis mellifera) and wild bumblebee (Bombus spp.) populations. We then construct models that compare virus prevalence between wild and managed pollinators. Multiple RNA viruses associated with honeybees are widespread in sympatric wild bumblebee populations. Virus prevalence in honeybees is a significant predictor of virus prevalence in bumblebees, but we remain cautious in speculating over the principle direction of pathogen transmission. We demonstrate species-specific differences in prevalence, indicating significant variation in disease susceptibility or tolerance. Pathogen loads within individual bumblebees may be high and in the case of at least one RNA virus, prevalence is higher in wild bumblebees than in managed honeybee populations. Our findings indicate widespread transmission of RNA viruses between managed and wild bee pollinators, pointing to an interconnected network of potential disease pressures within and among pollinator species. In the context of the biodiversity crisis, our study emphasizes the importance of targeting a wide range of pathogens and defining host associations when considering potential drivers of population decline.},
  author       = {Mcmahon, Dino and Fürst, Matthias and Caspar, Jesicca and Theodorou, Panagiotis and Brown, Mark and Paxton, Robert},
  journal      = {Journal of Animal Ecology},
  number       = {3},
  pages        = {615 -- 624},
  publisher    = {Wiley},
  title        = {{A sting in the spit: Widespread cross-infection of multiple RNA viruses across wild and managed bees}},
  doi          = {10.1111/1365-2656.12345},
  volume       = {84},
  year         = {2015},
}

