--- _id: '29' abstract: - lang: eng text: Social insects have evolved enormous capacities to collectively build nests and defend their colonies against both predators and pathogens. The latter is achieved by a combination of individual immune responses and sophisticated collective behavioral and organizational disease defenses, that is, social immunity. We investigated how the presence or absence of these social defense lines affects individual-level immunity in ant queens after bacterial infection. To this end, we injected queens of the ant Linepithema humile with a mix of gram+ and gram− bacteria or a control solution, reared them either with workers or alone and analyzed their gene expression patterns at 2, 4, 8, and 12 hr post-injection, using RNA-seq. This allowed us to test for the effect of bacterial infection, social context, as well as the interaction between the two over the course of infection and raising of an immune response. We found that social isolation per se affected queen gene expression for metabolism genes, but not for immune genes. When infected, queens reared with and without workers up-regulated similar numbers of innate immune genes revealing activation of Toll and Imd signaling pathways and melanization. Interestingly, however, they mostly regulated different genes along the pathways and showed a different pattern of overall gene up-regulation or down-regulation. Hence, we can conclude that the absence of workers does not compromise the onset of an individual immune response by the queens, but that the social environment impacts the route of the individual innate immune responses. article_processing_charge: No author: - first_name: Lumi full_name: Viljakainen, Lumi last_name: Viljakainen - first_name: Jaana full_name: Jurvansuu, Jaana last_name: Jurvansuu - first_name: Ida full_name: Holmberg, Ida last_name: Holmberg - first_name: Tobias full_name: Pamminger, Tobias last_name: Pamminger - first_name: Silvio full_name: Erler, Silvio last_name: Erler - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 citation: ama: Viljakainen L, Jurvansuu J, Holmberg I, Pamminger T, Erler S, Cremer S. Social environment affects the transcriptomic response to bacteria in ant queens. Ecology and Evolution. 2018;8(22):11031-11070. doi:10.1002/ece3.4573 apa: Viljakainen, L., Jurvansuu, J., Holmberg, I., Pamminger, T., Erler, S., & Cremer, S. (2018). Social environment affects the transcriptomic response to bacteria in ant queens. Ecology and Evolution. Wiley. https://doi.org/10.1002/ece3.4573 chicago: Viljakainen, Lumi, Jaana Jurvansuu, Ida Holmberg, Tobias Pamminger, Silvio Erler, and Sylvia Cremer. “Social Environment Affects the Transcriptomic Response to Bacteria in Ant Queens.” Ecology and Evolution. Wiley, 2018. https://doi.org/10.1002/ece3.4573. ieee: L. Viljakainen, J. Jurvansuu, I. Holmberg, T. Pamminger, S. Erler, and S. Cremer, “Social environment affects the transcriptomic response to bacteria in ant queens,” Ecology and Evolution, vol. 8, no. 22. Wiley, pp. 11031–11070, 2018. ista: Viljakainen L, Jurvansuu J, Holmberg I, Pamminger T, Erler S, Cremer S. 2018. Social environment affects the transcriptomic response to bacteria in ant queens. Ecology and Evolution. 8(22), 11031–11070. mla: Viljakainen, Lumi, et al. “Social Environment Affects the Transcriptomic Response to Bacteria in Ant Queens.” Ecology and Evolution, vol. 8, no. 22, Wiley, 2018, pp. 11031–70, doi:10.1002/ece3.4573. short: L. Viljakainen, J. Jurvansuu, I. Holmberg, T. Pamminger, S. Erler, S. Cremer, Ecology and Evolution 8 (2018) 11031–11070. date_created: 2018-12-11T11:44:15Z date_published: 2018-11-01T00:00:00Z date_updated: 2023-09-19T09:29:12Z day: '01' ddc: - '576' - '591' department: - _id: SyCr doi: 10.1002/ece3.4573 external_id: isi: - '000451611000032' file: - access_level: open_access checksum: 0d1355c78627ca7210aadd9a17a01915 content_type: application/pdf creator: dernst date_created: 2018-12-17T08:27:04Z date_updated: 2020-07-14T12:45:52Z file_id: '5682' file_name: Viljakainen_et_al-2018-Ecology_and_Evolution.pdf file_size: 1272096 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' intvolume: ' 8' isi: 1 issue: '22' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 11031-11070 publication: Ecology and Evolution publication_identifier: issn: - '20457758' publication_status: published publisher: Wiley publist_id: '8026' quality_controlled: '1' scopus_import: '1' status: public title: Social environment affects the transcriptomic response to bacteria in ant queens tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 8 year: '2018' ... --- _id: '806' abstract: - lang: eng text: Social insect colonies have evolved many collectively performed adaptations that reduce the impact of infectious disease and that are expected to maximize their fitness. This colony-level protection is termed social immunity, and it enhances the health and survival of the colony. In this review, we address how social immunity emerges from its mechanistic components to produce colony-level disease avoidance, resistance, and tolerance. To understand the evolutionary causes and consequences of social immunity, we highlight the need for studies that evaluate the effects of social immunity on colony fitness. We discuss the role that host life history and ecology have on predicted eco-evolutionary dynamics, which differ among the social insect lineages. Throughout the review, we highlight current gaps in our knowledge and promising avenues for future research, which we hope will bring us closer to an integrated understanding of socio-eco-evo-immunology. article_processing_charge: No author: - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 - first_name: Christopher full_name: Pull, Christopher id: 3C7F4840-F248-11E8-B48F-1D18A9856A87 last_name: Pull orcid: 0000-0003-1122-3982 - first_name: Matthias full_name: Fürst, Matthias id: 393B1196-F248-11E8-B48F-1D18A9856A87 last_name: Fürst orcid: 0000-0002-3712-925X citation: ama: 'Cremer S, Pull C, Fürst M. Social immunity: Emergence and evolution of colony-level disease protection. Annual Review of Entomology. 2018;63:105-123. doi:10.1146/annurev-ento-020117-043110' apa: 'Cremer, S., Pull, C., & Fürst, M. (2018). Social immunity: Emergence and evolution of colony-level disease protection. Annual Review of Entomology. Annual Reviews. https://doi.org/10.1146/annurev-ento-020117-043110' chicago: 'Cremer, Sylvia, Christopher Pull, and Matthias Fürst. “Social Immunity: Emergence and Evolution of Colony-Level Disease Protection.” Annual Review of Entomology. Annual Reviews, 2018. https://doi.org/10.1146/annurev-ento-020117-043110.' ieee: 'S. Cremer, C. Pull, and M. Fürst, “Social immunity: Emergence and evolution of colony-level disease protection,” Annual Review of Entomology, vol. 63. Annual Reviews, pp. 105–123, 2018.' ista: 'Cremer S, Pull C, Fürst M. 2018. Social immunity: Emergence and evolution of colony-level disease protection. Annual Review of Entomology. 63, 105–123.' mla: 'Cremer, Sylvia, et al. “Social Immunity: Emergence and Evolution of Colony-Level Disease Protection.” Annual Review of Entomology, vol. 63, Annual Reviews, 2018, pp. 105–23, doi:10.1146/annurev-ento-020117-043110.' short: S. Cremer, C. Pull, M. Fürst, Annual Review of Entomology 63 (2018) 105–123. date_created: 2018-12-11T11:48:36Z date_published: 2018-01-07T00:00:00Z date_updated: 2023-09-19T09:29:45Z day: '07' department: - _id: SyCr doi: 10.1146/annurev-ento-020117-043110 external_id: isi: - '000424633700008' intvolume: ' 63' isi: 1 language: - iso: eng month: '01' oa_version: None page: 105 - 123 publication: Annual Review of Entomology publication_identifier: issn: - 1545-4487 publication_status: published publisher: Annual Reviews publist_id: '6844' quality_controlled: '1' related_material: record: - id: '819' relation: dissertation_contains status: public scopus_import: '1' status: public title: 'Social immunity: Emergence and evolution of colony-level disease protection' type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 63 year: '2018' ... --- _id: '140' abstract: - lang: eng text: Reachability analysis is difficult for hybrid automata with affine differential equations, because the reach set needs to be approximated. Promising abstraction techniques usually employ interval methods or template polyhedra. Interval methods account for dense time and guarantee soundness, and there are interval-based tools that overapproximate affine flowpipes. But interval methods impose bounded and rigid shapes, which make refinement expensive and fixpoint detection difficult. Template polyhedra, on the other hand, can be adapted flexibly and can be unbounded, but sound template refinement for unbounded reachability analysis has been implemented only for systems with piecewise constant dynamics. We capitalize on the advantages of both techniques, combining interval arithmetic and template polyhedra, using the former to abstract time and the latter to abstract space. During a CEGAR loop, whenever a spurious error trajectory is found, we compute additional space constraints and split time intervals, and use these space-time interpolants to eliminate the counterexample. Space-time interpolation offers a lazy, flexible framework for increasing precision while guaranteeing soundness, both for error avoidance and fixpoint detection. To the best of out knowledge, this is the first abstraction refinement scheme for the reachability analysis over unbounded and dense time of affine hybrid systems, which is both sound and automatic. We demonstrate the effectiveness of our algorithm with several benchmark examples, which cannot be handled by other tools. alternative_title: - LNCS article_processing_charge: No author: - first_name: Goran full_name: Frehse, Goran last_name: Frehse - first_name: Mirco full_name: Giacobbe, Mirco id: 3444EA5E-F248-11E8-B48F-1D18A9856A87 last_name: Giacobbe orcid: 0000-0001-8180-0904 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 citation: ama: 'Frehse G, Giacobbe M, Henzinger TA. Space-time interpolants. In: Vol 10981. Springer; 2018:468-486. doi:10.1007/978-3-319-96145-3_25' apa: 'Frehse, G., Giacobbe, M., & Henzinger, T. A. (2018). Space-time interpolants (Vol. 10981, pp. 468–486). Presented at the CAV: Computer Aided Verification, Oxford, United Kingdom: Springer. https://doi.org/10.1007/978-3-319-96145-3_25' chicago: Frehse, Goran, Mirco Giacobbe, and Thomas A Henzinger. “Space-Time Interpolants,” 10981:468–86. Springer, 2018. https://doi.org/10.1007/978-3-319-96145-3_25. ieee: 'G. Frehse, M. Giacobbe, and T. A. Henzinger, “Space-time interpolants,” presented at the CAV: Computer Aided Verification, Oxford, United Kingdom, 2018, vol. 10981, pp. 468–486.' ista: 'Frehse G, Giacobbe M, Henzinger TA. 2018. Space-time interpolants. CAV: Computer Aided Verification, LNCS, vol. 10981, 468–486.' mla: Frehse, Goran, et al. Space-Time Interpolants. Vol. 10981, Springer, 2018, pp. 468–86, doi:10.1007/978-3-319-96145-3_25. short: G. Frehse, M. Giacobbe, T.A. Henzinger, in:, Springer, 2018, pp. 468–486. conference: end_date: 2018-07-17 location: Oxford, United Kingdom name: 'CAV: Computer Aided Verification' start_date: 2018-07-14 date_created: 2018-12-11T11:44:50Z date_published: 2018-07-18T00:00:00Z date_updated: 2023-09-19T09:30:43Z day: '18' ddc: - '005' department: - _id: ToHe doi: 10.1007/978-3-319-96145-3_25 external_id: isi: - '000491481600025' file: - access_level: open_access checksum: 6dca832f575d6b3f0ea9dff56f579142 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:53Z date_updated: 2020-07-14T12:44:50Z file_id: '5310' file_name: IST-2018-1010-v1+1_space-time_interpolants.pdf file_size: 563710 relation: main_file file_date_updated: 2020-07-14T12:44:50Z has_accepted_license: '1' intvolume: ' 10981' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 468 - 486 project: - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 25F5A88A-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11402-N23 name: Moderne Concurrency Paradigms publication_identifier: issn: - '03029743' publication_status: published publisher: Springer publist_id: '7783' pubrep_id: '1010' quality_controlled: '1' related_material: record: - id: '6894' relation: dissertation_contains status: public scopus_import: '1' status: public title: Space-time interpolants tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 10981 year: '2018' ... --- _id: '154' abstract: - lang: eng text: We give a lower bound on the ground state energy of a system of two fermions of one species interacting with two fermions of another species via point interactions. We show that there is a critical mass ratio m2 ≈ 0.58 such that the system is stable, i.e., the energy is bounded from below, for m∈[m2,m2−1]. So far it was not known whether this 2 + 2 system exhibits a stable region at all or whether the formation of four-body bound states causes an unbounded spectrum for all mass ratios, similar to the Thomas effect. Our result gives further evidence for the stability of the more general N + M system. acknowledgement: Open access funding provided by Austrian Science Fund (FWF). article_number: '19' article_processing_charge: No article_type: original author: - first_name: Thomas full_name: Moser, Thomas id: 2B5FC9A4-F248-11E8-B48F-1D18A9856A87 last_name: Moser - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 citation: ama: Moser T, Seiringer R. Stability of the 2+2 fermionic system with point interactions. Mathematical Physics Analysis and Geometry. 2018;21(3). doi:10.1007/s11040-018-9275-3 apa: Moser, T., & Seiringer, R. (2018). Stability of the 2+2 fermionic system with point interactions. Mathematical Physics Analysis and Geometry. Springer. https://doi.org/10.1007/s11040-018-9275-3 chicago: Moser, Thomas, and Robert Seiringer. “Stability of the 2+2 Fermionic System with Point Interactions.” Mathematical Physics Analysis and Geometry. Springer, 2018. https://doi.org/10.1007/s11040-018-9275-3. ieee: T. Moser and R. Seiringer, “Stability of the 2+2 fermionic system with point interactions,” Mathematical Physics Analysis and Geometry, vol. 21, no. 3. Springer, 2018. ista: Moser T, Seiringer R. 2018. Stability of the 2+2 fermionic system with point interactions. Mathematical Physics Analysis and Geometry. 21(3), 19. mla: Moser, Thomas, and Robert Seiringer. “Stability of the 2+2 Fermionic System with Point Interactions.” Mathematical Physics Analysis and Geometry, vol. 21, no. 3, 19, Springer, 2018, doi:10.1007/s11040-018-9275-3. short: T. Moser, R. Seiringer, Mathematical Physics Analysis and Geometry 21 (2018). date_created: 2018-12-11T11:44:55Z date_published: 2018-09-01T00:00:00Z date_updated: 2023-09-19T09:31:15Z day: '01' ddc: - '530' department: - _id: RoSe doi: 10.1007/s11040-018-9275-3 ec_funded: 1 external_id: isi: - '000439639700001' file: - access_level: open_access checksum: 411c4db5700d7297c9cd8ebc5dd29091 content_type: application/pdf creator: dernst date_created: 2018-12-17T16:49:02Z date_updated: 2020-07-14T12:45:01Z file_id: '5729' file_name: 2018_MathPhysics_Moser.pdf file_size: 496973 relation: main_file file_date_updated: 2020-07-14T12:45:01Z has_accepted_license: '1' intvolume: ' 21' isi: 1 issue: '3' language: - iso: eng month: '09' oa: 1 oa_version: Published Version project: - _id: 25C6DC12-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '694227' name: Analysis of quantum many-body systems - _id: 25C878CE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P27533_N27 name: Structure of the Excitation Spectrum for Many-Body Quantum Systems - _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1 call_identifier: FWF name: FWF Open Access Fund publication: Mathematical Physics Analysis and Geometry publication_identifier: eissn: - '15729656' issn: - '13850172' publication_status: published publisher: Springer publist_id: '7767' quality_controlled: '1' related_material: record: - id: '52' relation: dissertation_contains status: public scopus_import: '1' status: public title: Stability of the 2+2 fermionic system with point interactions tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 21 year: '2018' ... --- _id: '5787' abstract: - lang: eng text: "Branching morphogenesis remains a subject of abiding interest. Although \ much is \r\nknown about the gene regulatory programs and signaling pathways that operate at \r\nthe cellular scale, it has remained unclear how the macroscopic features of branched \r\norgans, including their size, network topology and \ spatial patterning, are encoded. \r\nLately, it has been proposed that, these features can be explained quantitatively in \r\nseveral organs within a single unifying framework. Based on large-\r\nscale organ recon\r\n-\r\nstructions \ and cell lineage tracing, it has been argued that morphogenesis follows \ \r\nfrom the collective dynamics of sublineage- \r\nrestricted self- \r\nrenewing progenitor cells, \r\nlocalized at ductal tips, that act cooperatively to drive a serial process of ductal elon\r\n-\r\ngation and stochastic tip bifurcation. By correlating differentiation or cell cycle exit \r\nwith proximity to maturing ducts, this dynamic results in the specification of a com-\r\nplex network of \ defined density and statistical organization. These results suggest \r\nthat, for several mammalian tissues, branched epithelial structures develop as a self- \r\norganized process, reliant upon a strikingly simple, but generic, \ set of local rules, \r\nwithout recourse to a rigid and deterministic \ sequence of genetically programmed \r\nevents. Here, we review the basis of these findings and discuss their implications." article_processing_charge: No author: - first_name: Edouard B full_name: Hannezo, Edouard B id: 3A9DB764-F248-11E8-B48F-1D18A9856A87 last_name: Hannezo orcid: 0000-0001-6005-1561 - first_name: Benjamin D. full_name: Simons, Benjamin D. last_name: Simons citation: ama: Hannezo EB, Simons BD. Statistical theory of branching morphogenesis. Development Growth and Differentiation. 2018;60(9):512-521. doi:10.1111/dgd.12570 apa: Hannezo, E. B., & Simons, B. D. (2018). Statistical theory of branching morphogenesis. Development Growth and Differentiation. Wiley. https://doi.org/10.1111/dgd.12570 chicago: Hannezo, Edouard B, and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” Development Growth and Differentiation. Wiley, 2018. https://doi.org/10.1111/dgd.12570. ieee: E. B. Hannezo and B. D. Simons, “Statistical theory of branching morphogenesis,” Development Growth and Differentiation, vol. 60, no. 9. Wiley, pp. 512–521, 2018. ista: Hannezo EB, Simons BD. 2018. Statistical theory of branching morphogenesis. Development Growth and Differentiation. 60(9), 512–521. mla: Hannezo, Edouard B., and Benjamin D. Simons. “Statistical Theory of Branching Morphogenesis.” Development Growth and Differentiation, vol. 60, no. 9, Wiley, 2018, pp. 512–21, doi:10.1111/dgd.12570. short: E.B. Hannezo, B.D. Simons, Development Growth and Differentiation 60 (2018) 512–521. date_created: 2018-12-30T22:59:14Z date_published: 2018-12-09T00:00:00Z date_updated: 2023-09-19T09:32:49Z day: '09' ddc: - '570' department: - _id: EdHa doi: 10.1111/dgd.12570 external_id: isi: - '000453555100002' file: - access_level: open_access checksum: a6d30b0785db902c734a84fecb2eadd9 content_type: application/pdf creator: dernst date_created: 2019-02-06T10:40:46Z date_updated: 2020-07-14T12:47:11Z file_id: '5933' file_name: 2018_DevGrowh_Hannezo.pdf file_size: 1313606 relation: main_file file_date_updated: 2020-07-14T12:47:11Z has_accepted_license: '1' intvolume: ' 60' isi: 1 issue: '9' language: - iso: eng month: '12' oa: 1 oa_version: Published Version page: 512-521 publication: Development Growth and Differentiation publication_identifier: issn: - '00121592' publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: Statistical theory of branching morphogenesis tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 60 year: '2018' ...