--- _id: '15099' abstract: - lang: eng text: Speciation is a key evolutionary process that is not yet fully understood. Combining population genomic and ecological data from multiple diverging pairs of marine snails (Littorina) supports the search for speciation mechanisms. Placing pairs on a one-dimensional speciation continuum, from undifferentiated populations to species, obscured the complexity of speciation. Adding multiple axes helped to describe either speciation routes or reproductive isolation in the snails. Divergent ecological selection repeatedly generated barriers between ecotypes, but appeared less important in completing speciation while genetic incompatibilities played a key role. Chromosomal inversions contributed to genomic barriers, but with variable impact. A multidimensional (hypercube) approach supported framing of questions and identification of knowledge gaps and can be useful to understand speciation in many other systems. acknowledgement: KJ, MR, and RKB were supported by grants from the Swedish Research Council (2021-0419, 2021-05243, and 2018-03695, respectively). RKB was also supported by the Leverhulme Trust (RPG-2021-141), RF by FCT- Portuguese Science Foundation (PTDC/BIA-EVL/1614/2021 and 2020.00275.CEECIND), and AMW by Norwegian Research Council RCN (Project number 315287). We thank the members of the Integration of Speciation Research network for stimulating discussions, the Littorina research community for important contributions of data and analyses, and Cynthia Riginos for useful comments on an earlier draft. article_processing_charge: Yes (in subscription journal) article_type: review author: - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Rui full_name: Faria, Rui last_name: Faria - first_name: Alan full_name: Le Moan, Alan last_name: Le Moan - first_name: Marina full_name: Rafajlović, Marina last_name: Rafajlović - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Roger K. full_name: Butlin, Roger K. last_name: Butlin - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski citation: ama: Johannesson K, Faria R, Le Moan A, et al. Diverse pathways to speciation revealed by marine snails. Trends in Genetics. 2024. doi:10.1016/j.tig.2024.01.002 apa: Johannesson, K., Faria, R., Le Moan, A., Rafajlović, M., Westram, A. M., Butlin, R. K., & Stankowski, S. (2024). Diverse pathways to speciation revealed by marine snails. Trends in Genetics. Cell Press. https://doi.org/10.1016/j.tig.2024.01.002 chicago: Johannesson, Kerstin, Rui Faria, Alan Le Moan, Marina Rafajlović, Anja M Westram, Roger K. Butlin, and Sean Stankowski. “Diverse Pathways to Speciation Revealed by Marine Snails.” Trends in Genetics. Cell Press, 2024. https://doi.org/10.1016/j.tig.2024.01.002. ieee: K. Johannesson et al., “Diverse pathways to speciation revealed by marine snails,” Trends in Genetics. Cell Press, 2024. ista: Johannesson K, Faria R, Le Moan A, Rafajlović M, Westram AM, Butlin RK, Stankowski S. 2024. Diverse pathways to speciation revealed by marine snails. Trends in Genetics. mla: Johannesson, Kerstin, et al. “Diverse Pathways to Speciation Revealed by Marine Snails.” Trends in Genetics, Cell Press, 2024, doi:10.1016/j.tig.2024.01.002. short: K. Johannesson, R. Faria, A. Le Moan, M. Rafajlović, A.M. Westram, R.K. Butlin, S. Stankowski, Trends in Genetics (2024). date_created: 2024-03-10T23:00:54Z date_published: 2024-02-22T00:00:00Z date_updated: 2024-03-13T12:08:57Z day: '22' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tig.2024.01.002 external_id: pmid: - '38395682' has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1016/j.tig.2024.01.002 month: '02' oa: 1 oa_version: Published Version pmid: 1 publication: Trends in Genetics publication_identifier: eissn: - 1362-4555 issn: - 0168-9525 publication_status: epub_ahead publisher: Cell Press quality_controlled: '1' scopus_import: '1' status: public title: Diverse pathways to speciation revealed by marine snails 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- _id: '15098' abstract: - lang: eng text: The paper is devoted to the analysis of the global well-posedness and the interior regularity of the 2D Navier–Stokes equations with inhomogeneous stochastic boundary conditions. The noise, white in time and coloured in space, can be interpreted as the physical law describing the driving mechanism on the atmosphere–ocean interface, i.e. as a balance of the shear stress of the ocean and the horizontal wind force. acknowledgement: The authors thank Professor Franco Flandoli for useful discussions and valuable insight into the subject. In particular, A.A. would like to thank professor Franco Flandoli for hosting and financially contributing to his research visit at Scuola Normale di Pisa in January 2023, where this work started. E.L. would like to express sincere gratitude to Professor Marco Fuhrman for igniting his interest in this particular field of research. E.L. want to thank Professor Matthias Hieber and Dr. Martin Saal for useful discussions. Finally, the authors thank the anonymous referee for helpful comments which improved the paper from its initial version.Open access funding provided by Scuola Normale Superiore within the CRUI-CARE Agreement. A. Agresti has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 948819). article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 - first_name: Eliseo full_name: Luongo, Eliseo last_name: Luongo citation: ama: Agresti A, Luongo E. Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. Mathematische Annalen. 2024. doi:10.1007/s00208-024-02812-0 apa: Agresti, A., & Luongo, E. (2024). Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. Mathematische Annalen. Springer Nature. https://doi.org/10.1007/s00208-024-02812-0 chicago: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” Mathematische Annalen. Springer Nature, 2024. https://doi.org/10.1007/s00208-024-02812-0. ieee: A. Agresti and E. Luongo, “Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions,” Mathematische Annalen. Springer Nature, 2024. ista: Agresti A, Luongo E. 2024. Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions. Mathematische Annalen. mla: Agresti, Antonio, and Eliseo Luongo. “Global Well-Posedness and Interior Regularity of 2D Navier-Stokes Equations with Stochastic Boundary Conditions.” Mathematische Annalen, Springer Nature, 2024, doi:10.1007/s00208-024-02812-0. short: A. Agresti, E. Luongo, Mathematische Annalen (2024). date_created: 2024-03-10T23:00:54Z date_published: 2024-02-27T00:00:00Z date_updated: 2024-03-13T12:20:23Z day: '27' department: - _id: JuFi doi: 10.1007/s00208-024-02812-0 ec_funded: 1 external_id: arxiv: - '2306.11081' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1007/s00208-024-02812-0 month: '02' oa: 1 oa_version: Published Version project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: Mathematische Annalen publication_identifier: eissn: - 1432-1807 issn: - 0025-5831 publication_status: epub_ahead publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Global well-posedness and interior regularity of 2D Navier-Stokes equations with stochastic boundary conditions type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- _id: '15122' abstract: - lang: eng text: Quantum computers are increasing in size and quality but are still very noisy. Error mitigation extends the size of the quantum circuits that noisy devices can meaningfully execute. However, state-of-the-art error mitigation methods are hard to implement and the limited qubit connectivity in superconducting qubit devices restricts most applications to the hardware's native topology. Here we show a quantum approximate optimization algorithm (QAOA) on nonplanar random regular graphs with up to 40 nodes enabled by a machine learning-based error mitigation. We use a swap network with careful decision-variable-to-qubit mapping and a feed-forward neural network to optimize a depth-two QAOA on up to 40 qubits. We observe a meaningful parameter optimization for the largest graph which requires running quantum circuits with 958 two-qubit gates. Our paper emphasizes the need to mitigate samples, and not only expectation values, in quantum approximate optimization. These results are a step towards executing quantum approximate optimization at a scale that is not classically simulable. Reaching such system sizes is key to properly understanding the true potential of heuristic algorithms like QAOA. acknowledgement: S.H.S. acknowledges support from the IBM Ph.D. fellowship 2022 in quantum computing. The authors also thank M. Serbyn, R. Kueng, R. A. Medina, and S. Woerner for fruitful discussions. article_number: '013223' article_processing_charge: Yes article_type: original author: - first_name: Stefan full_name: Sack, Stefan id: dd622248-f6e0-11ea-865d-ce382a1c81a5 last_name: Sack orcid: 0000-0001-5400-8508 - first_name: Daniel J. full_name: Egger, Daniel J. last_name: Egger citation: ama: Sack S, Egger DJ. Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. 2024;6(1). doi:10.1103/PhysRevResearch.6.013223 apa: Sack, S., & Egger, D. J. (2024). Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.013223 chicago: Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review Research. American Physical Society, 2024. https://doi.org/10.1103/PhysRevResearch.6.013223. ieee: S. Sack and D. J. Egger, “Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation,” Physical Review Research, vol. 6, no. 1. American Physical Society, 2024. ista: Sack S, Egger DJ. 2024. Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. 6(1), 013223. mla: Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review Research, vol. 6, no. 1, 013223, American Physical Society, 2024, doi:10.1103/PhysRevResearch.6.013223. short: S. Sack, D.J. Egger, Physical Review Research 6 (2024). date_created: 2024-03-17T23:00:59Z date_published: 2024-03-01T00:00:00Z date_updated: 2024-03-19T07:24:03Z day: '01' ddc: - '530' department: - _id: MaSe doi: 10.1103/PhysRevResearch.6.013223 external_id: arxiv: - '2307.14427' file: - access_level: open_access checksum: 274c9f1b15b3547a10a03f39e4ccc582 content_type: application/pdf creator: dernst date_created: 2024-03-19T07:16:38Z date_updated: 2024-03-19T07:16:38Z file_id: '15123' file_name: 2024_PhysicalReviewResearch_Sack.pdf file_size: 2777593 relation: main_file success: 1 file_date_updated: 2024-03-19T07:16:38Z has_accepted_license: '1' intvolume: ' 6' issue: '1' language: - iso: eng month: '03' oa: 1 oa_version: Published Version project: - _id: bd660c93-d553-11ed-ba76-fb0fb6f49c0d name: Quantum_Quantum Circuits and Software_Variational quantum algorithms on NISQ devices publication: Physical Review Research publication_identifier: issn: - 2643-1564 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 6 year: '2024' ... --- _id: '15119' abstract: - lang: eng text: In this paper we consider an SPDE where the leading term is a second order operator with periodic boundary conditions, coefficients which are measurable in (t,ω) , and Hölder continuous in space. Assuming stochastic parabolicity conditions, we prove Lp((0,T)×Ω,tκdt;Hσ,q(Td)) -estimates. The main novelty is that we do not require p=q . Moreover, we allow arbitrary σ∈R and weights in time. Such mixed regularity estimates play a crucial role in applications to nonlinear SPDEs which is clear from our previous work. To prove our main results we develop a general perturbation theory for SPDEs. Moreover, we prove a new result on pointwise multiplication in spaces with fractional smoothness. acknowledgement: The first author has been partially supported by the Nachwuchsring – Network for the promotion of young scientists – at TU Kaiserslautern. The second author is supported by the VIDI subsidy 639.032.427 of the Netherlands Organisation for Scientific Research (NWO). The authors thank the anonymous referees and Max Sauerbrey for careful reading and helpful suggestions. article_processing_charge: No article_type: original author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 - first_name: Mark full_name: Veraar, Mark last_name: Veraar citation: ama: Agresti A, Veraar M. Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. Annales de l’institut Henri Poincare Probability and Statistics. 2024;60(1):413-430. doi:10.1214/22-AIHP1333 apa: Agresti, A., & Veraar, M. (2024). Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. Annales de l’institut Henri Poincare Probability and Statistics. Institute of Mathematical Statistics. https://doi.org/10.1214/22-AIHP1333 chicago: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for Second Order Systems with Periodic Boundary Conditions.” Annales de l’institut Henri Poincare Probability and Statistics. Institute of Mathematical Statistics, 2024. https://doi.org/10.1214/22-AIHP1333. ieee: A. Agresti and M. Veraar, “Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions,” Annales de l’institut Henri Poincare Probability and Statistics, vol. 60, no. 1. Institute of Mathematical Statistics, pp. 413–430, 2024. ista: Agresti A, Veraar M. 2024. Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions. Annales de l’institut Henri Poincare Probability and Statistics. 60(1), 413–430. mla: Agresti, Antonio, and Mark Veraar. “Stochastic Maximal Lp(Lq)-Regularity for Second Order Systems with Periodic Boundary Conditions.” Annales de l’institut Henri Poincare Probability and Statistics, vol. 60, no. 1, Institute of Mathematical Statistics, 2024, pp. 413–30, doi:10.1214/22-AIHP1333. short: A. Agresti, M. Veraar, Annales de l’institut Henri Poincare Probability and Statistics 60 (2024) 413–430. date_created: 2024-03-17T23:00:58Z date_published: 2024-02-01T00:00:00Z date_updated: 2024-03-19T08:14:17Z day: '01' department: - _id: JuFi doi: 10.1214/22-AIHP1333 external_id: arxiv: - '2106.01274' intvolume: ' 60' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2106.01274 month: '02' oa: 1 oa_version: Preprint page: 413-430 publication: Annales de l'institut Henri Poincare Probability and Statistics publication_identifier: issn: - 0246-0203 publication_status: published publisher: Institute of Mathematical Statistics quality_controlled: '1' scopus_import: '1' status: public title: Stochastic maximal Lp(Lq)-regularity for second order systems with periodic boundary conditions type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 60 year: '2024' ... --- _id: '14478' abstract: - lang: eng text: Entire chromosomes are typically only transmitted vertically from one generation to the next. The horizontal transfer of such chromosomes has long been considered improbable, yet gained recent support in several pathogenic fungi where it may affect the fitness or host specificity. To date, it is unknown how these transfers occur, how common they are and whether they can occur between different species. In this study, we show multiple independent instances of horizontal transfers of the same accessory chromosome between two distinct strains of the asexual entomopathogenic fungusMetarhizium robertsiiduring experimental co-infection of its insect host, the Argentine ant. Notably, only the one chromosome – but no other – was transferred from the donor to the recipient strain. The recipient strain, now harboring the accessory chromosome, exhibited a competitive advantage under certain host conditions. By phylogenetic analysis we further demonstrate that the same accessory chromosome was horizontally transferred in a natural environment betweenM. robertsiiand another congeneric insect pathogen,M. guizhouense. Hence horizontal chromosome transfer is not limited to the observed frequent events within species during experimental infections but also occurs naturally across species. The transferred accessory chromosome contains genes that might be involved in its preferential horizontal transfer, encoding putative histones and histone-modifying enzymes, but also putative virulence factors that may support its establishment. Our study reveals that both intra- and interspecies horizontal transfer of entire chromosomes is more frequent than previously assumed, likely representing a not uncommon mechanism for gene exchange.Significance StatementThe enormous success of bacterial pathogens has been attributed to their ability to exchange genetic material between one another. Similarly, in eukaryotes, horizontal transfer of genetic material allowed the spread of virulence factors across species. The horizontal transfer of whole chromosomes could be an important pathway for such exchange of genetic material, but little is known about the origin of transferable chromosomes and how frequently they are exchanged. Here, we show that the transfer of accessory chromosomes - chromosomes that are non-essential but may provide fitness benefits - is common during fungal co-infections and is even possible between distant pathogenic species, highlighting the importance of horizontal gene transfer via chromosome transfer also for the evolution and function of eukaryotic pathogens. acknowledgement: We thank Bernhardt Steinwender, Jorgen Eilenberg, and Nicolai V. Meyling for the fungal strains. We further thank Chengshu Wang for providing the short sequencing reads for M. guizhouense ARESF977 he used for his published genome assembly, and Kristian Ullrich for help in the bioinformatics analysis for methylation pattern in Nanopore reads, and the VBC and the Max Planck Society for the use of their sequencing centers. We thank Barbara Milutinović and Hinrich Schulenburg for discussion, and Tal Dagan and Jens Rolff for comments on a previous version of the manuscript. Fig. 1A was created with BioRender.com. This study received funding by the European Research Council under the European Union’s Horizon 2020 Research and Innovation Programme (No. 771402; EPIDEMICSonCHIP) to S.C. and by the German Research Foundation (DFG grant HA9263/1-1) to M.H. article_number: e2316284121 article_processing_charge: Yes (in subscription journal) article_type: original author: - first_name: Michael full_name: Habig, Michael last_name: Habig - first_name: Anna V full_name: Grasse, Anna V id: 406F989C-F248-11E8-B48F-1D18A9856A87 last_name: Grasse - first_name: Judith full_name: Müller, Judith last_name: Müller - first_name: Eva H. full_name: Stukenbrock, Eva H. last_name: Stukenbrock - first_name: Hanna full_name: Leitner, Hanna id: 8fc5c6f6-5903-11ec-abad-c83f046253e7 last_name: Leitner - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 citation: ama: Habig M, Grasse AV, Müller J, Stukenbrock EH, Leitner H, Cremer S. Frequent horizontal chromosome transfer between asexual fungal insect pathogens. Proceedings of the National Academy of Sciences of the United States of America. 2024;121(11). doi:10.1073/pnas.2316284121 apa: Habig, M., Grasse, A. V., Müller, J., Stukenbrock, E. H., Leitner, H., & Cremer, S. (2024). Frequent horizontal chromosome transfer between asexual fungal insect pathogens. Proceedings of the National Academy of Sciences of the United States of America. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2316284121 chicago: Habig, Michael, Anna V Grasse, Judith Müller, Eva H. Stukenbrock, Hanna Leitner, and Sylvia Cremer. “Frequent Horizontal Chromosome Transfer between Asexual Fungal Insect Pathogens.” Proceedings of the National Academy of Sciences of the United States of America. Proceedings of the National Academy of Sciences, 2024. https://doi.org/10.1073/pnas.2316284121. ieee: M. Habig, A. V. Grasse, J. Müller, E. H. Stukenbrock, H. Leitner, and S. Cremer, “Frequent horizontal chromosome transfer between asexual fungal insect pathogens,” Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 11. Proceedings of the National Academy of Sciences, 2024. ista: Habig M, Grasse AV, Müller J, Stukenbrock EH, Leitner H, Cremer S. 2024. Frequent horizontal chromosome transfer between asexual fungal insect pathogens. Proceedings of the National Academy of Sciences of the United States of America. 121(11), e2316284121. mla: Habig, Michael, et al. “Frequent Horizontal Chromosome Transfer between Asexual Fungal Insect Pathogens.” Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 11, e2316284121, Proceedings of the National Academy of Sciences, 2024, doi:10.1073/pnas.2316284121. short: M. Habig, A.V. Grasse, J. Müller, E.H. Stukenbrock, H. Leitner, S. Cremer, Proceedings of the National Academy of Sciences of the United States of America 121 (2024). date_created: 2023-10-31T13:30:00Z date_published: 2024-03-12T00:00:00Z date_updated: 2024-03-19T09:07:20Z day: '12' ddc: - '570' department: - _id: SyCr doi: 10.1073/pnas.2316284121 ec_funded: 1 external_id: pmid: - '38442176' file: - access_level: open_access checksum: f5e871db617b682edc71fcd08670dc81 content_type: application/pdf creator: dernst date_created: 2024-03-19T09:02:57Z date_updated: 2024-03-19T09:02:57Z file_id: '15124' file_name: 2024_PNAS_Habig.pdf file_size: 5750361 relation: main_file success: 1 file_date_updated: 2024-03-19T09:02:57Z has_accepted_license: '1' intvolume: ' 121' issue: '11' language: - iso: eng month: '03' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 2649B4DE-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '771402' name: Epidemics in ant societies on a chip publication: Proceedings of the National Academy of Sciences of the United States of America publication_identifier: eissn: - 1091-6490 issn: - 0027-8424 publication_status: published publisher: Proceedings of the National Academy of Sciences quality_controlled: '1' scopus_import: '1' status: public title: Frequent horizontal chromosome transfer between asexual fungal insect pathogens tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 121 year: '2024' ...