[{"quality_controlled":"1","title":"Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics","date_published":"2019-08-01T00:00:00Z","volume":65,"article_processing_charge":"No","publication":"Journal of Glaciology","year":"2019","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1017/jog.2019.40"}],"date_created":"2023-02-20T08:13:03Z","scopus_import":"1","_id":"12601","oa":1,"author":[{"full_name":"STEINER, JAKOB F.","first_name":"JAKOB F.","last_name":"STEINER"},{"last_name":"BURI","first_name":"PASCAL","full_name":"BURI, PASCAL"},{"last_name":"MILES","first_name":"EVAN S.","full_name":"MILES, EVAN S."},{"first_name":"SILVAN","full_name":"RAGETTLI, SILVAN","last_name":"RAGETTLI"},{"full_name":"Pellicciotti, Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","first_name":"Francesca","last_name":"Pellicciotti"}],"citation":{"ista":"STEINER JF, BURI P, MILES ES, RAGETTLI S, Pellicciotti F. 2019. Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics. Journal of Glaciology. 65(252), 617–632.","apa":"STEINER, J. F., BURI, P., MILES, E. S., RAGETTLI, S., &#38; Pellicciotti, F. (2019). Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics. <i>Journal of Glaciology</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/jog.2019.40\">https://doi.org/10.1017/jog.2019.40</a>","mla":"STEINER, JAKOB F., et al. “Supraglacial Ice Cliffs and Ponds on Debris-Covered Glaciers: Spatio-Temporal Distribution and Characteristics.” <i>Journal of Glaciology</i>, vol. 65, no. 252, Cambridge University Press, 2019, pp. 617–32, doi:<a href=\"https://doi.org/10.1017/jog.2019.40\">10.1017/jog.2019.40</a>.","ieee":"J. F. STEINER, P. BURI, E. S. MILES, S. RAGETTLI, and F. Pellicciotti, “Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics,” <i>Journal of Glaciology</i>, vol. 65, no. 252. Cambridge University Press, pp. 617–632, 2019.","short":"J.F. STEINER, P. BURI, E.S. MILES, S. RAGETTLI, F. Pellicciotti, Journal of Glaciology 65 (2019) 617–632.","ama":"STEINER JF, BURI P, MILES ES, RAGETTLI S, Pellicciotti F. Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and characteristics. <i>Journal of Glaciology</i>. 2019;65(252):617-632. doi:<a href=\"https://doi.org/10.1017/jog.2019.40\">10.1017/jog.2019.40</a>","chicago":"STEINER, JAKOB F., PASCAL BURI, EVAN S. MILES, SILVAN RAGETTLI, and Francesca Pellicciotti. “Supraglacial Ice Cliffs and Ponds on Debris-Covered Glaciers: Spatio-Temporal Distribution and Characteristics.” <i>Journal of Glaciology</i>. Cambridge University Press, 2019. <a href=\"https://doi.org/10.1017/jog.2019.40\">https://doi.org/10.1017/jog.2019.40</a>."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-02-28T12:11:07Z","oa_version":"Published Version","type":"journal_article","publisher":"Cambridge University Press","language":[{"iso":"eng"}],"page":"617-632","article_type":"original","intvolume":"        65","abstract":[{"lang":"eng","text":"Ice cliffs and ponds on debris-covered glaciers have received increased attention due to their role in amplifying local melt. However, very few studies have looked at these features on the catchment scale to determine their patterns and changes in space and time. We have compiled a detailed inventory of cliffs and ponds in the Langtang catchment, central Himalaya, from six high-resolution satellite orthoimages and DEMs between 2006 and 2015, and a historic orthophoto from 1974. Cliffs cover between 1.4% (± 0.4%) in the dry and 3.4% (± 0.9%) in the wet seasons and ponds between 0.6% (± 0.1%) and 1.6% (± 0.3%) of the total debris-covered tongues. We find large variations between seasons, as cliffs and ponds tend to grow in the wetter monsoon period, but there is no obvious trend in total area over the study period. The inventory further shows that cliffs are predominately north-facing irrespective of the glacier flow direction. Both cliffs and ponds appear in higher densities several hundred metres from the terminus in areas where tributaries reach the main glacier tongue. On the largest glacier in the catchment ~10% of all cliffs and ponds persisted over nearly a decade."}],"doi":"10.1017/jog.2019.40","issue":"252","publication_identifier":{"eissn":["1727-5652"],"issn":["0022-1430"]},"status":"public","extern":"1","day":"01","publication_status":"published","month":"08"},{"date_created":"2023-02-20T08:13:08Z","year":"2019","main_file_link":[{"url":"https://doi.org/10.3389/feart.2019.00143","open_access":"1"}],"volume":7,"article_processing_charge":"No","publication":"Frontiers in Earth Science","date_published":"2019-06-04T00:00:00Z","title":"Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age","quality_controlled":"1","type":"journal_article","oa_version":"Published Version","date_updated":"2023-02-28T12:04:48Z","author":[{"last_name":"Wijngaard","first_name":"René R.","full_name":"Wijngaard, René R."},{"last_name":"Steiner","first_name":"Jakob F.","full_name":"Steiner, Jakob F."},{"first_name":"Philip D. A.","full_name":"Kraaijenbrink, Philip D. A.","last_name":"Kraaijenbrink"},{"first_name":"Christoph","full_name":"Klug, Christoph","last_name":"Klug"},{"first_name":"Surendra","full_name":"Adhikari, Surendra","last_name":"Adhikari"},{"last_name":"Banerjee","first_name":"Argha","full_name":"Banerjee, Argha"},{"first_name":"Francesca","id":"b28f055a-81ea-11ed-b70c-a9fe7f7b0e70","full_name":"Pellicciotti, Francesca","last_name":"Pellicciotti"},{"last_name":"van Beek","first_name":"Ludovicus P. H.","full_name":"van Beek, Ludovicus P. H."},{"full_name":"Bierkens, Marc F. P.","first_name":"Marc F. P.","last_name":"Bierkens"},{"last_name":"Lutz","first_name":"Arthur F.","full_name":"Lutz, Arthur F."},{"last_name":"Immerzeel","full_name":"Immerzeel, Walter W.","first_name":"Walter W."}],"oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"apa":"Wijngaard, R. R., Steiner, J. F., Kraaijenbrink, P. D. A., Klug, C., Adhikari, S., Banerjee, A., … Immerzeel, W. W. (2019). Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age. <i>Frontiers in Earth Science</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/feart.2019.00143\">https://doi.org/10.3389/feart.2019.00143</a>","mla":"Wijngaard, René R., et al. “Modeling the Response of the Langtang Glacier and the Hintereisferner to a Changing Climate since the Little Ice Age.” <i>Frontiers in Earth Science</i>, vol. 7, 143, Frontiers Media, 2019, doi:<a href=\"https://doi.org/10.3389/feart.2019.00143\">10.3389/feart.2019.00143</a>.","ista":"Wijngaard RR, Steiner JF, Kraaijenbrink PDA, Klug C, Adhikari S, Banerjee A, Pellicciotti F, van Beek LPH, Bierkens MFP, Lutz AF, Immerzeel WW. 2019. Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age. Frontiers in Earth Science. 7, 143.","ieee":"R. R. Wijngaard <i>et al.</i>, “Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age,” <i>Frontiers in Earth Science</i>, vol. 7. Frontiers Media, 2019.","chicago":"Wijngaard, René R., Jakob F. Steiner, Philip D. A. Kraaijenbrink, Christoph Klug, Surendra Adhikari, Argha Banerjee, Francesca Pellicciotti, et al. “Modeling the Response of the Langtang Glacier and the Hintereisferner to a Changing Climate since the Little Ice Age.” <i>Frontiers in Earth Science</i>. Frontiers Media, 2019. <a href=\"https://doi.org/10.3389/feart.2019.00143\">https://doi.org/10.3389/feart.2019.00143</a>.","ama":"Wijngaard RR, Steiner JF, Kraaijenbrink PDA, et al. Modeling the response of the Langtang Glacier and the Hintereisferner to a changing climate since the Little Ice Age. <i>Frontiers in Earth Science</i>. 2019;7. doi:<a href=\"https://doi.org/10.3389/feart.2019.00143\">10.3389/feart.2019.00143</a>","short":"R.R. Wijngaard, J.F. Steiner, P.D.A. Kraaijenbrink, C. Klug, S. Adhikari, A. Banerjee, F. Pellicciotti, L.P.H. van Beek, M.F.P. Bierkens, A.F. Lutz, W.W. Immerzeel, Frontiers in Earth Science 7 (2019)."},"_id":"12602","scopus_import":"1","intvolume":"         7","article_number":"143","article_type":"original","language":[{"iso":"eng"}],"publisher":"Frontiers Media","month":"06","publication_status":"published","extern":"1","day":"04","status":"public","publication_identifier":{"issn":["2296-6463"]},"abstract":[{"lang":"eng","text":"This study aims at developing and applying a spatially-distributed coupled glacier mass balance and ice-flow model to attribute the response of glaciers to natural and anthropogenic climate change. We focus on two glaciers with contrasting surface characteristics: a debris-covered glacier (Langtang Glacier in Nepal) and a clean-ice glacier (Hintereisferner in Austria). The model is applied from the end of the Little Ice Age (1850) to the present-day (2016) and is forced with four bias-corrected General Circulation Models (GCMs) from the historical experiment of the CMIP5 archive. The selected GCMs represent region-specific warm-dry, warm-wet, cold-dry, and cold-wet climate conditions. To isolate the effects of anthropogenic climate change on glacier mass balance and flow runs from these GCMs with and without further anthropogenic forcing after 1970 until 2016 are selected. The outcomes indicate that both glaciers experience the largest reduction in area and volume under warm climate conditions, whereas area and volume reductions are smaller under cold climate conditions. Simultaneously with changes in glacier area and volume, surface velocities generally decrease over time. Without further anthropogenic forcing the results reveal a 3% (9%) smaller decline in glacier area (volume) for the debris-covered glacier and a 18% (39%) smaller decline in glacier area (volume) for the clean-ice glacier. The difference in the magnitude between the two glaciers can mainly be attributed to differences in the response time of the glaciers, where the clean-ice glacier shows a much faster response to climate change. We conclude that the response of the two glaciers can mainly be attributed to anthropogenic climate change and that the impact is larger on the clean-ice glacier. The outcomes show that the model performs well under different climate conditions and that the developed approach can be used for regional-scale glacio-hydrological modeling."}],"doi":"10.3389/feart.2019.00143"},{"date_published":"2019-02-27T00:00:00Z","title":"Is Debian suitable for running an HPC Cluster?","publisher":"Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz","conference":{"name":"AHPC: Austrian HPC Meeting","start_date":"2019-02-25","location":"Grundlsee, Austria","end_date":"2019-02-27"},"publication":"AHPC19 - Austrian HPC Meeting 2019 ","article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2019","main_file_link":[{"url":"https://vsc.ac.at/fileadmin/user_upload/vsc/conferences/ahpc19/BOOKLET_AHPC19.pdf","open_access":"1"}],"page":"25","ddc":["000"],"date_created":"2023-05-05T12:48:48Z","file_date_updated":"2023-05-16T07:27:09Z","status":"public","_id":"12901","day":"27","has_accepted_license":"1","citation":{"mla":"Schlögl, Alois, et al. “Is Debian Suitable for Running an HPC Cluster?” <i>AHPC19 - Austrian HPC Meeting 2019 </i>, Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz, 2019, p. 25.","apa":"Schlögl, A., Kiss, J., &#38; Elefante, S. (2019). Is Debian suitable for running an HPC Cluster? In <i>AHPC19 - Austrian HPC Meeting 2019 </i> (p. 25). Grundlsee, Austria: Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz.","ista":"Schlögl A, Kiss J, Elefante S. 2019. Is Debian suitable for running an HPC Cluster? AHPC19 - Austrian HPC Meeting 2019 . AHPC: Austrian HPC Meeting, 25.","chicago":"Schlögl, Alois, Janos Kiss, and Stefano Elefante. “Is Debian Suitable for Running an HPC Cluster?” In <i>AHPC19 - Austrian HPC Meeting 2019 </i>, 25. Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz, 2019.","short":"A. Schlögl, J. Kiss, S. Elefante, in:, AHPC19 - Austrian HPC Meeting 2019 , Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz, 2019, p. 25.","ama":"Schlögl A, Kiss J, Elefante S. Is Debian suitable for running an HPC Cluster? In: <i>AHPC19 - Austrian HPC Meeting 2019 </i>. Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz; 2019:25.","ieee":"A. Schlögl, J. Kiss, and S. Elefante, “Is Debian suitable for running an HPC Cluster?,” in <i>AHPC19 - Austrian HPC Meeting 2019 </i>, Grundlsee, Austria, 2019, p. 25."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa":1,"author":[{"last_name":"Schlögl","first_name":"Alois","full_name":"Schlögl, Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100"},{"last_name":"Kiss","first_name":"Janos","id":"3D3A06F8-F248-11E8-B48F-1D18A9856A87","full_name":"Kiss, Janos"},{"last_name":"Elefante","first_name":"Stefano","full_name":"Elefante, Stefano","id":"490F40CE-F248-11E8-B48F-1D18A9856A87"}],"date_updated":"2023-05-16T07:29:32Z","oa_version":"Published Version","publication_status":"published","file":[{"relation":"main_file","checksum":"acc8272027faaf30709c51ac5c58ffa4","creator":"dernst","access_level":"open_access","date_created":"2023-05-16T07:27:09Z","success":1,"file_id":"12970","file_name":"2019_AHPC_Schloegl.pdf","file_size":1097603,"content_type":"application/pdf","date_updated":"2023-05-16T07:27:09Z"}],"department":[{"_id":"ScienComp"}],"type":"conference_abstract","month":"02"},{"article_processing_charge":"No","year":"2019","date_created":"2021-07-27T09:51:46Z","title":"Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding","date_published":"2019-12-19T00:00:00Z","publisher":"American Chemical Society ","day":"19","citation":{"apa":"Ucar, M. C., &#38; Lipowsky, R. (2019). Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding. American Chemical Society . <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s001\">https://doi.org/10.1021/acs.nanolett.9b04445.s001</a>","mla":"Ucar, Mehmet C., and Reinhard Lipowsky. <i>Supplementary Information - Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding</i>. American Chemical Society , 2019, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s001\">10.1021/acs.nanolett.9b04445.s001</a>.","ista":"Ucar MC, Lipowsky R. 2019. Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding, American Chemical Society , <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s001\">10.1021/acs.nanolett.9b04445.s001</a>.","ieee":"M. C. Ucar and R. Lipowsky, “Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding.” American Chemical Society , 2019.","chicago":"Ucar, Mehmet C, and Reinhard Lipowsky. “Supplementary Information - Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding.” American Chemical Society , 2019. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s001\">https://doi.org/10.1021/acs.nanolett.9b04445.s001</a>.","short":"M.C. Ucar, R. Lipowsky, (2019).","ama":"Ucar MC, Lipowsky R. Supplementary information - Collective force generation by molecular motors is determined by strain-induced unbinding. 2019. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s001\">10.1021/acs.nanolett.9b04445.s001</a>"},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","author":[{"last_name":"Ucar","orcid":"0000-0003-0506-4217","id":"50B2A802-6007-11E9-A42B-EB23E6697425","first_name":"Mehmet C","full_name":"Ucar, Mehmet C"},{"last_name":"Lipowsky","first_name":"Reinhard","full_name":"Lipowsky, Reinhard"}],"oa_version":"Published Version","date_updated":"2023-08-17T14:07:52Z","department":[{"_id":"EdHa"}],"type":"research_data_reference","month":"12","related_material":{"record":[{"id":"7166","relation":"used_in_publication","status":"public"}]},"abstract":[{"lang":"eng","text":"A detailed description of the two stochastic models, table of parameters, supplementary data for Figures 4 and 5, parameter dependence of the results, and an analysis on motors with different force–velocity functions (PDF)"}],"doi":"10.1021/acs.nanolett.9b04445.s001","status":"public","_id":"9726"},{"department":[{"_id":"FyKo"}],"oa_version":"Published Version","date_updated":"2023-08-30T06:20:21Z","oa":1,"author":[{"last_name":"Sigalova","full_name":"Sigalova, Olga","first_name":"Olga"},{"last_name":"Chaplin","full_name":"Chaplin, Andrei","first_name":"Andrei"},{"orcid":"0000-0003-1006-6639","id":"C4558D3C-6102-11E9-A62E-F418E6697425","first_name":"Olga","full_name":"Bochkareva, Olga","last_name":"Bochkareva"},{"last_name":"Shelyakin","first_name":"Pavel","full_name":"Shelyakin, Pavel"},{"last_name":"Filaretov","first_name":"Vsevolod","full_name":"Filaretov, Vsevolod"},{"last_name":"Akkuratov","first_name":"Evgeny","full_name":"Akkuratov, Evgeny"},{"last_name":"Burskaia","first_name":"Valentina","full_name":"Burskaia, Valentina"},{"first_name":"Mikhail S.","full_name":"Gelfand, Mikhail S.","last_name":"Gelfand"}],"citation":{"ista":"Sigalova O, Chaplin A, Bochkareva O, Shelyakin P, Filaretov V, Akkuratov E, Burskaia V, Gelfand MS. 2019. Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.9808772.v1\">10.6084/m9.figshare.9808772.v1</a>.","apa":"Sigalova, O., Chaplin, A., Bochkareva, O., Shelyakin, P., Filaretov, V., Akkuratov, E., … Gelfand, M. S. (2019). Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature. <a href=\"https://doi.org/10.6084/m9.figshare.9808772.v1\">https://doi.org/10.6084/m9.figshare.9808772.v1</a>","mla":"Sigalova, Olga, et al. <i>Additional File 11 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction</i>. Springer Nature, 2019, doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808772.v1\">10.6084/m9.figshare.9808772.v1</a>.","ieee":"O. Sigalova <i>et al.</i>, “Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.","short":"O. Sigalova, A. Chaplin, O. Bochkareva, P. Shelyakin, V. Filaretov, E. Akkuratov, V. Burskaia, M.S. Gelfand, (2019).","ama":"Sigalova O, Chaplin A, Bochkareva O, et al. Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. 2019. doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808772.v1\">10.6084/m9.figshare.9808772.v1</a>","chicago":"Sigalova, Olga, Andrei Chaplin, Olga Bochkareva, Pavel Shelyakin, Vsevolod Filaretov, Evgeny Akkuratov, Valentina Burskaia, and Mikhail S. Gelfand. “Additional File 11 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction.” Springer Nature, 2019. <a href=\"https://doi.org/10.6084/m9.figshare.9808772.v1\">https://doi.org/10.6084/m9.figshare.9808772.v1</a>."},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"12","month":"09","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"6898"}]},"type":"research_data_reference","doi":"10.6084/m9.figshare.9808772.v1","abstract":[{"lang":"eng","text":"OGs with putative pseudogenes by the number of affected genomes in different chlamydial species. Frameshift and nonsense mutations located less than 60 bp upstreamof the gene end or present in a single genome from the corresponding OG were excluded. (CSV 31 kb)"}],"_id":"9731","status":"public","year":"2019","main_file_link":[{"url":"https://doi.org/10.6084/m9.figshare.9808772.v1","open_access":"1"}],"article_processing_charge":"No","date_created":"2021-07-27T14:09:11Z","date_published":"2019-09-12T00:00:00Z","title":"Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction","publisher":"Springer Nature"},{"doi":"10.6084/m9.figshare.9808760.v1","abstract":[{"text":"Predicted frameshift and nonsense mutations in Chlamydial pan-genome. For the analysis of putative pseudogenes, events located less than 60 bp. away from gene end or present in a single genome from the corresponding OG were excluded. (CSV 600 kb)","lang":"eng"}],"status":"public","_id":"9783","day":"12","citation":{"ieee":"O. M. Sigalova <i>et al.</i>, “Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.","ama":"Sigalova OM, Chaplin AV, Bochkareva O, et al. Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. 2019. doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808760.v1\">10.6084/m9.figshare.9808760.v1</a>","short":"O.M. Sigalova, A.V. Chaplin, O. Bochkareva, P.V. Shelyakin, V.A. Filaretov, E.E. Akkuratov, V. Burskaia, M.S. Gelfand, (2019).","chicago":"Sigalova, Olga M., Andrei V. Chaplin, Olga Bochkareva, Pavel V. Shelyakin, Vsevolod A. Filaretov, Evgeny E. Akkuratov, Valentina Burskaia, and Mikhail S. Gelfand. “Additional File 10 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction.” Springer Nature, 2019. <a href=\"https://doi.org/10.6084/m9.figshare.9808760.v1\">https://doi.org/10.6084/m9.figshare.9808760.v1</a>.","ista":"Sigalova OM, Chaplin AV, Bochkareva O, Shelyakin PV, Filaretov VA, Akkuratov EE, Burskaia V, Gelfand MS. 2019. Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.9808760.v1\">10.6084/m9.figshare.9808760.v1</a>.","mla":"Sigalova, Olga M., et al. <i>Additional File 10 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction</i>. Springer Nature, 2019, doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808760.v1\">10.6084/m9.figshare.9808760.v1</a>.","apa":"Sigalova, O. M., Chaplin, A. 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Pokusaeva <i>et al.</i>, “A statistical summary of segment libraries and sequencing results.” Public Library of Science, 2019.","mla":"Pokusaeva, Victoria, et al. <i>A Statistical Summary of Segment Libraries and Sequencing Results</i>. Public Library of Science, 2019, doi:<a href=\"https://doi.org/10.1371/journal.pgen.1008079.s011\">10.1371/journal.pgen.1008079.s011</a>.","apa":"Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan, K., Mishin, A. S., … Kondrashov, F. (2019). A statistical summary of segment libraries and sequencing results. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pgen.1008079.s011\">https://doi.org/10.1371/journal.pgen.1008079.s011</a>","ista":"Pokusaeva V, Usmanova DR, Putintseva EV, Espinar L, Sarkisyan K, Mishin AS, Bogatyreva NS, Ivankov D, Akopyan A, Povolotskaya IS, Filion GJ, Carey LB, Kondrashov F. 2019. A statistical summary of segment libraries and sequencing results, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pgen.1008079.s011\">10.1371/journal.pgen.1008079.s011</a>."},"day":"10","publisher":"Public Library of Science","title":"A statistical summary of segment libraries and sequencing results","date_published":"2019-04-10T00:00:00Z","date_created":"2021-08-06T11:08:20Z","year":"2019","article_processing_charge":"No"},{"title":"Raw behavioral data","date_published":"2019-02-07T00:00:00Z","publisher":"Public Library of Science","article_processing_charge":"No","year":"2019","date_created":"2021-08-06T11:34:56Z","doi":"10.1371/journal.pbio.2005902.s006","_id":"9801","status":"public","author":[{"last_name":"Merrill","full_name":"Merrill, Richard M.","first_name":"Richard M."},{"full_name":"Rastas, Pasi","first_name":"Pasi","last_name":"Rastas"},{"last_name":"Martin","first_name":"Simon H.","full_name":"Martin, Simon H."},{"last_name":"Melo Hurtado","first_name":"Maria C","id":"386D7308-F248-11E8-B48F-1D18A9856A87","full_name":"Melo Hurtado, Maria C"},{"first_name":"Sarah","full_name":"Barker, Sarah","last_name":"Barker"},{"first_name":"John","full_name":"Davey, John","last_name":"Davey"},{"first_name":"W. Owen","full_name":"Mcmillan, W. Owen","last_name":"Mcmillan"},{"last_name":"Jiggins","full_name":"Jiggins, Chris D.","first_name":"Chris D."}],"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","citation":{"mla":"Merrill, Richard M., et al. <i>Raw Behavioral Data</i>. Public Library of Science, 2019, doi:<a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>.","apa":"Merrill, R. M., Rastas, P., Martin, S. H., Melo Hurtado, M. C., Barker, S., Davey, J., … Jiggins, C. D. (2019). Raw behavioral data. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">https://doi.org/10.1371/journal.pbio.2005902.s006</a>","ista":"Merrill RM, Rastas P, Martin SH, Melo Hurtado MC, Barker S, Davey J, Mcmillan WO, Jiggins CD. 2019. Raw behavioral data, Public Library of Science, <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>.","ieee":"R. M. Merrill <i>et al.</i>, “Raw behavioral data.” Public Library of Science, 2019.","chicago":"Merrill, Richard M., Pasi Rastas, Simon H. Martin, Maria C Melo Hurtado, Sarah Barker, John Davey, W. Owen Mcmillan, and Chris D. Jiggins. “Raw Behavioral Data.” Public Library of Science, 2019. <a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">https://doi.org/10.1371/journal.pbio.2005902.s006</a>.","ama":"Merrill RM, Rastas P, Martin SH, et al. Raw behavioral data. 2019. doi:<a href=\"https://doi.org/10.1371/journal.pbio.2005902.s006\">10.1371/journal.pbio.2005902.s006</a>","short":"R.M. Merrill, P. Rastas, S.H. Martin, M.C. Melo Hurtado, S. Barker, J. Davey, W.O. Mcmillan, C.D. Jiggins, (2019)."},"day":"07","department":[{"_id":"NiBa"}],"date_updated":"2023-08-24T14:46:23Z","oa_version":"Published Version","related_material":{"record":[{"id":"6022","relation":"used_in_publication","status":"public"}]},"month":"02","type":"research_data_reference"},{"publisher":"Dryad","title":"Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat","date_published":"2019-07-16T00:00:00Z","date_created":"2021-08-06T11:45:11Z","year":"2019","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.8tp0900"}],"article_processing_charge":"No","_id":"9802","status":"public","abstract":[{"text":"This paper analyzes how partial selfing in a large source population influences its ability to colonize a new habitat via the introduction of a few founder individuals. Founders experience inbreeding depression due to partially recessive deleterious alleles as well as maladaptation to the new environment due to selection on a large number of additive loci. I first introduce a simplified version of the Inbreeding History Model (Kelly, 2007) in order to characterize mutation-selection balance in a large, partially selfing source population under selection involving multiple non-identical loci. I then use individual-based simulations to study the eco-evolutionary dynamics of founders establishing in the new habitat under a model of hard selection. The study explores how selfing rate shapes establishment probabilities of founders via effects on both inbreeding depression and adaptability to the new environment, and also distinguishes the effects of selfing on the initial fitness of founders from its effects on the long-term adaptive response of the populations they found. A high rate of (but not complete) selfing is found to aid establishment over a wide range of parameters, even in the absence of mate limitation. The sensitivity of the results to assumptions about the nature of polygenic selection are discussed.","lang":"eng"}],"doi":"10.5061/dryad.8tp0900","related_material":{"record":[{"relation":"used_in_publication","id":"6680","status":"public"}]},"month":"07","type":"research_data_reference","department":[{"_id":"NiBa"}],"oa_version":"Published Version","date_updated":"2023-08-29T06:43:57Z","oa":1,"author":[{"id":"42377A0A-F248-11E8-B48F-1D18A9856A87","first_name":"Himani","full_name":"Sachdeva, Himani","last_name":"Sachdeva"}],"citation":{"mla":"Sachdeva, Himani. <i>Data from: Effect of Partial Selfing and Polygenic Selection on Establishment in a New Habitat</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>.","apa":"Sachdeva, H. (2019). Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat. Dryad. <a href=\"https://doi.org/10.5061/dryad.8tp0900\">https://doi.org/10.5061/dryad.8tp0900</a>","ista":"Sachdeva H. 2019. Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat, Dryad, <a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>.","ieee":"H. Sachdeva, “Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat.” Dryad, 2019.","chicago":"Sachdeva, Himani. “Data from: Effect of Partial Selfing and Polygenic Selection on Establishment in a New Habitat.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.8tp0900\">https://doi.org/10.5061/dryad.8tp0900</a>.","short":"H. Sachdeva, (2019).","ama":"Sachdeva H. Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.8tp0900\">10.5061/dryad.8tp0900</a>"},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"16"},{"citation":{"ieee":"G. Puixeu Sala, M. Pickup, D. Field, and S. C. H. Barrett, “Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics.” Dryad, 2019.","chicago":"Puixeu Sala, Gemma, Melinda Pickup, David Field, and Spencer C.H. Barrett. “Data from: Variation in Sexual Dimorphism in a Wind-Pollinated Plant: The Influence of Geographical Context and Life-Cycle Dynamics.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.n1701c9\">https://doi.org/10.5061/dryad.n1701c9</a>.","ama":"Puixeu Sala G, Pickup M, Field D, Barrett SCH. Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>","short":"G. Puixeu Sala, M. Pickup, D. Field, S.C.H. Barrett, (2019).","apa":"Puixeu Sala, G., Pickup, M., Field, D., &#38; Barrett, S. C. H. (2019). Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics. Dryad. <a href=\"https://doi.org/10.5061/dryad.n1701c9\">https://doi.org/10.5061/dryad.n1701c9</a>","mla":"Puixeu Sala, Gemma, et al. <i>Data from: Variation in Sexual Dimorphism in a Wind-Pollinated Plant: The Influence of Geographical Context and Life-Cycle Dynamics</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>.","ista":"Puixeu Sala G, Pickup M, Field D, Barrett SCH. 2019. Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics, Dryad, <a href=\"https://doi.org/10.5061/dryad.n1701c9\">10.5061/dryad.n1701c9</a>."},"day":"22","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","oa":1,"author":[{"id":"33AB266C-F248-11E8-B48F-1D18A9856A87","full_name":"Puixeu Sala, Gemma","first_name":"Gemma","orcid":"0000-0001-8330-1754","last_name":"Puixeu Sala"},{"first_name":"Melinda","id":"2C78037E-F248-11E8-B48F-1D18A9856A87","full_name":"Pickup, Melinda","orcid":"0000-0001-6118-0541","last_name":"Pickup"},{"last_name":"Field","full_name":"Field, David","first_name":"David"},{"last_name":"Barrett","first_name":"Spencer C.H.","full_name":"Barrett, Spencer C.H."}],"date_updated":"2023-08-29T07:17:07Z","oa_version":"Published Version","department":[{"_id":"NiBa"},{"_id":"BeVi"}],"type":"research_data_reference","related_material":{"record":[{"id":"14058","relation":"used_in_publication","status":"public"},{"status":"public","relation":"used_in_publication","id":"6831"}]},"month":"07","doi":"10.5061/dryad.n1701c9","abstract":[{"text":"Understanding the mechanisms causing phenotypic differences between females and males has long fascinated evolutionary biologists. An extensive literature exists on animal sexual dimorphism but less is known about sex differences in plants, particularly the extent of geographical variation in sexual dimorphism and its life-cycle dynamics. Here, we investigate patterns of genetically-based sexual dimorphism in vegetative and reproductive traits of a wind-pollinated dioecious plant, Rumex hastatulus, across three life-cycle stages using open-pollinated families from 30 populations spanning the geographic range and chromosomal variation (XY and XY1Y2) of the species. The direction and degree of sexual dimorphism was highly variable among populations and life-cycle stages. Sex-specific differences in reproductive function explained a significant amount of temporal change in sexual dimorphism. For several traits, geographical variation in sexual dimorphism was associated with bioclimatic parameters, likely due to the differential responses of the sexes to climate. We found no systematic differences in sexual dimorphism between chromosome races. Sex-specific trait differences in dioecious plants largely result from a balance between sexual and natural selection on resource allocation. Our results indicate that abiotic factors associated with geographical context also play a role in modifying sexual dimorphism during the plant life cycle.","lang":"eng"}],"status":"public","_id":"9803","article_processing_charge":"No","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.n1701c9"}],"year":"2019","date_created":"2021-08-06T11:48:42Z","title":"Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics","date_published":"2019-07-22T00:00:00Z","publisher":"Dryad"},{"type":"research_data_reference","related_material":{"record":[{"status":"public","id":"6713","relation":"used_in_publication"}]},"month":"06","date_updated":"2023-08-29T06:41:51Z","oa_version":"Published Version","department":[{"_id":"NiBa"}],"citation":{"mla":"Castro, João Pl, et al. <i>Data from: An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>.","apa":"Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kučka, M., … Chan, Y. F. (2019). Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. Dryad. <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">https://doi.org/10.5061/dryad.0q2h6tk</a>","ista":"Castro JP, Yancoskie MN, Marchini M, Belohlavy S, Hiramatsu L, Kučka M, Beluch WH, Naumann R, Skuplik I, Cobb J, Barton NH, Rolian C, Chan YF. 2019. Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice, Dryad, <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>.","ieee":"J. P. Castro <i>et al.</i>, “Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice.” Dryad, 2019.","chicago":"Castro, João Pl, Michelle N. Yancoskie, Marta Marchini, Stefanie Belohlavy, Layla Hiramatsu, Marek Kučka, William H. Beluch, et al. “Data from: An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">https://doi.org/10.5061/dryad.0q2h6tk</a>.","ama":"Castro JP, Yancoskie MN, Marchini M, et al. Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.0q2h6tk\">10.5061/dryad.0q2h6tk</a>","short":"J.P. Castro, M.N. Yancoskie, M. Marchini, S. Belohlavy, L. Hiramatsu, M. Kučka, W.H. Beluch, R. Naumann, I. Skuplik, J. Cobb, N.H. Barton, C. Rolian, Y.F. Chan, (2019)."},"day":"06","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","oa":1,"author":[{"last_name":"Castro","full_name":"Castro, João Pl","first_name":"João Pl"},{"full_name":"Yancoskie, Michelle N.","first_name":"Michelle N.","last_name":"Yancoskie"},{"last_name":"Marchini","full_name":"Marchini, Marta","first_name":"Marta"},{"orcid":"0000-0002-9849-498X","first_name":"Stefanie","id":"43FE426A-F248-11E8-B48F-1D18A9856A87","full_name":"Belohlavy, Stefanie","last_name":"Belohlavy"},{"first_name":"Layla","full_name":"Hiramatsu, Layla","last_name":"Hiramatsu"},{"last_name":"Kučka","full_name":"Kučka, Marek","first_name":"Marek"},{"last_name":"Beluch","first_name":"William H.","full_name":"Beluch, William H."},{"last_name":"Naumann","full_name":"Naumann, Ronald","first_name":"Ronald"},{"first_name":"Isabella","full_name":"Skuplik, Isabella","last_name":"Skuplik"},{"first_name":"John","full_name":"Cobb, John","last_name":"Cobb"},{"last_name":"Barton","orcid":"0000-0002-8548-5240","full_name":"Barton, Nicholas H","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Rolian, Campbell","first_name":"Campbell","last_name":"Rolian"},{"last_name":"Chan","first_name":"Yingguang Frank","full_name":"Chan, Yingguang Frank"}],"status":"public","_id":"9804","abstract":[{"text":"Evolutionary studies are often limited by missing data that are critical to understanding the history of selection. Selection experiments, which reproduce rapid evolution under controlled conditions, are excellent tools to study how genomes evolve under selection. Here we present a genomic dissection of the Longshanks selection experiment, in which mice were selectively bred over 20 generations for longer tibiae relative to body mass, resulting in 13% longer tibiae in two replicates. We synthesized evolutionary theory, genome sequences and molecular genetics to understand the selection response and found that it involved both polygenic adaptation and discrete loci of major effect, with the strongest loci tending to be selected in parallel between replicates. We show that selection may favor de-repression of bone growth through inactivating two limb enhancers of an inhibitor, Nkx3-2. Our integrative genomic analyses thus show that it is possible to connect individual base-pair changes to the overall selection response.","lang":"eng"}],"doi":"10.5061/dryad.0q2h6tk","date_created":"2021-08-06T11:52:54Z","year":"2019","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5061/dryad.0q2h6tk"}],"article_processing_charge":"No","publisher":"Dryad","date_published":"2019-06-06T00:00:00Z","title":"Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice"},{"publisher":"Dryad","title":"Data from: The consequences of an introgression event","date_published":"2019-01-09T00:00:00Z","date_created":"2021-08-06T12:03:50Z","year":"2019","main_file_link":[{"url":"https://doi.org/10.5061/dryad.2kb6fh4","open_access":"1"}],"article_processing_charge":"No","_id":"9805","status":"public","abstract":[{"text":"The spread of adaptive alleles is fundamental to evolution, and in theory, this process is well‐understood. However, only rarely can we follow this process—whether it originates from the spread of a new mutation, or by introgression from another population. In this issue of Molecular Ecology, Hanemaaijer et al. (2018) report on a 25‐year long study of the mosquitoes Anopheles gambiae (Figure 1) and Anopheles coluzzi in Mali, based on genotypes at 15 single‐nucleotide polymorphism (SNP). The species are usually reproductively isolated from each other, but in 2002 and 2006, bursts of hybridization were observed, when F1 hybrids became abundant. Alleles backcrossed from A. gambiae into A. coluzzi, but after the first event, these declined over the following years. In contrast, after 2006, an insecticide resistance allele that had established in A. gambiae spread into A. coluzzi, and rose to high frequency there, over 6 years (~75 generations). Whole genome sequences of 74 individuals showed that A. gambiae SNP from across the genome had become common in the A. coluzzi population, but that most of these were clustered in 34 genes around the resistance locus. A new set of SNP from 25 of these genes were assayed over time; over the 4 years since near‐fixation of the resistance allele; some remained common, whereas others declined. What do these patterns tell us about this introgression event?","lang":"eng"}],"doi":"10.5061/dryad.2kb6fh4","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"40"}]},"month":"01","type":"research_data_reference","department":[{"_id":"NiBa"}],"oa_version":"Published Version","date_updated":"2023-09-19T10:06:07Z","author":[{"orcid":"0000-0002-8548-5240","id":"4880FE40-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas H","full_name":"Barton, Nicholas H","last_name":"Barton"}],"oa":1,"citation":{"ama":"Barton NH. Data from: The consequences of an introgression event. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>","short":"N.H. Barton, (2019).","chicago":"Barton, Nicholas H. “Data from: The Consequences of an Introgression Event.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">https://doi.org/10.5061/dryad.2kb6fh4</a>.","ieee":"N. H. Barton, “Data from: The consequences of an introgression event.” Dryad, 2019.","ista":"Barton NH. 2019. Data from: The consequences of an introgression event, Dryad, <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>.","mla":"Barton, Nicholas H. <i>Data from: The Consequences of an Introgression Event</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">10.5061/dryad.2kb6fh4</a>.","apa":"Barton, N. H. (2019). Data from: The consequences of an introgression event. Dryad. <a href=\"https://doi.org/10.5061/dryad.2kb6fh4\">https://doi.org/10.5061/dryad.2kb6fh4</a>"},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"09"},{"doi":"10.5061/dryad.9kj41f0","abstract":[{"text":"1. Hosts can alter their strategy towards pathogens during their lifetime, i.e., they can show phenotypic plasticity in immunity or life history. Immune priming is one such example, where a previous encounter with a pathogen confers enhanced protection upon secondary challenge, resulting in reduced pathogen load (i.e. resistance) and improved host survival. However, an initial encounter might also enhance tolerance, particularly to less virulent opportunistic pathogens that establish persistent infections. In this scenario, individuals are better able to reduce the negative fitness consequences that result from a high pathogen load. Finally, previous exposure may also lead to life history adjustments, such as terminal investment into reproduction. 2. Using different Drosophila melanogaster host genotypes and two bacterial pathogens, Lactococcus lactis and Pseudomonas entomophila, we tested if previous exposure results in resistance or tolerance and whether it modifies immune gene expression during an acute-phase infection (one day post-challenge). We then asked if previous pathogen exposure affects chronic-phase pathogen persistence and longer-term survival (28 days post-challenge). 3. We predicted that previous exposure would increase host resistance to an early stage bacterial infection while it might come at a cost to host fecundity tolerance. We reasoned that resistance would be due in part to stronger immune gene expression after challenge. We expected that previous exposure would improve long-term survival, that it would reduce infection persistence, and we expected to find genetic variation in these responses. 4. We found that previous exposure to P. entomophila weakened host resistance to a second infection independent of genotype and had no effect on immune gene expression. Fecundity tolerance showed genotypic variation but was not influenced by previous exposure. However, L. lactis persisted as a chronic infection, whereas survivors cleared the more pathogenic P. entomophila infection. 5. To our knowledge, this is the first study that addresses host tolerance to bacteria in relation to previous exposure, taking a multi-faceted approach to address the topic. Our results suggest that previous exposure comes with transient costs to resistance during the early stage of infection in this host-pathogen system and that infection persistence may be bacterium-specific.","lang":"eng"}],"_id":"9806","status":"public","author":[{"orcid":"0000-0002-8696-6978","full_name":"Kutzer, Megan","first_name":"Megan","id":"29D0B332-F248-11E8-B48F-1D18A9856A87","last_name":"Kutzer"},{"last_name":"Kurtz","first_name":"Joachim","full_name":"Kurtz, Joachim"},{"first_name":"Sophie A.O.","full_name":"Armitage, Sophie A.O.","last_name":"Armitage"}],"oa":1,"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"05","citation":{"ieee":"M. Kutzer, J. Kurtz, and S. A. O. Armitage, “Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance.” Dryad, 2019.","ama":"Kutzer M, Kurtz J, Armitage SAO. Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.9kj41f0\">10.5061/dryad.9kj41f0</a>","short":"M. Kutzer, J. Kurtz, S.A.O. Armitage, (2019).","chicago":"Kutzer, Megan, Joachim Kurtz, and Sophie A.O. Armitage. “Data from: A Multi-Faceted Approach Testing the Effects of Previous Bacterial Exposure on Resistance and Tolerance.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.9kj41f0\">https://doi.org/10.5061/dryad.9kj41f0</a>.","ista":"Kutzer M, Kurtz J, Armitage SAO. 2019. Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance, Dryad, <a href=\"https://doi.org/10.5061/dryad.9kj41f0\">10.5061/dryad.9kj41f0</a>.","apa":"Kutzer, M., Kurtz, J., &#38; Armitage, S. A. O. (2019). Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance. Dryad. <a href=\"https://doi.org/10.5061/dryad.9kj41f0\">https://doi.org/10.5061/dryad.9kj41f0</a>","mla":"Kutzer, Megan, et al. <i>Data from: A Multi-Faceted Approach Testing the Effects of Previous Bacterial Exposure on Resistance and Tolerance</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.9kj41f0\">10.5061/dryad.9kj41f0</a>."},"department":[{"_id":"SyCr"}],"date_updated":"2023-08-25T08:04:52Z","oa_version":"Published Version","related_material":{"record":[{"id":"6105","relation":"used_in_publication","status":"public"}]},"month":"02","type":"research_data_reference","date_published":"2019-02-05T00:00:00Z","title":"Data from: A multi-faceted approach testing the effects of previous bacterial exposure on resistance and tolerance","publisher":"Dryad","article_processing_charge":"No","year":"2019","main_file_link":[{"url":"https://doi.org/10.5061/dryad.9kj41f0","open_access":"1"}],"date_created":"2021-08-06T12:06:40Z"},{"month":"06","related_material":{"record":[{"id":"315","relation":"used_in_publication","status":"public"}]},"type":"research_data_reference","department":[{"_id":"NiBa"}],"oa_version":"Published Version","date_updated":"2023-02-23T11:14:30Z","oa":1,"author":[{"first_name":"Jitka","id":"3BBFB084-F248-11E8-B48F-1D18A9856A87","full_name":"Polechova, Jitka","orcid":"0000-0003-0951-3112","last_name":"Polechova"}],"citation":{"ista":"Polechova J. 2019. Data from: Is the sky the limit? On the expansion threshold of a species’ range, Dryad, <a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>.","apa":"Polechova, J. (2019). Data from: Is the sky the limit? On the expansion threshold of a species’ range. Dryad. <a href=\"https://doi.org/10.5061/dryad.5vv37\">https://doi.org/10.5061/dryad.5vv37</a>","mla":"Polechova, Jitka. <i>Data from: Is the Sky the Limit? On the Expansion Threshold of a Species’ Range</i>. Dryad, 2019, doi:<a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>.","ama":"Polechova J. Data from: Is the sky the limit? On the expansion threshold of a species’ range. 2019. doi:<a href=\"https://doi.org/10.5061/dryad.5vv37\">10.5061/dryad.5vv37</a>","short":"J. Polechova, (2019).","chicago":"Polechova, Jitka. “Data from: Is the Sky the Limit? On the Expansion Threshold of a Species’ Range.” Dryad, 2019. <a href=\"https://doi.org/10.5061/dryad.5vv37\">https://doi.org/10.5061/dryad.5vv37</a>.","ieee":"J. Polechova, “Data from: Is the sky the limit? On the expansion threshold of a species’ range.” Dryad, 2019."},"day":"22","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","_id":"9839","status":"public","abstract":[{"text":"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.","lang":"eng"}],"doi":"10.5061/dryad.5vv37","date_created":"2021-08-09T13:07:28Z","year":"2019","main_file_link":[{"url":"https://doi.org/10.5061/dryad.5vv37","open_access":"1"}],"article_processing_charge":"No","publisher":"Dryad","date_published":"2019-06-22T00:00:00Z","title":"Data from: Is the sky the limit? On the expansion threshold of a species' range"},{"date_updated":"2023-08-30T06:20:21Z","oa_version":"Published Version","department":[{"_id":"FyKo"}],"citation":{"ista":"Sigalova OM, Chaplin AV, Bochkareva O, Shelyakin PV, Filaretov VA, Akkuratov EE, Burskaia V, Gelfand MS. 2019. Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.9808802.v1\">10.6084/m9.figshare.9808802.v1</a>.","apa":"Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E., … Gelfand, M. S. (2019). Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature. <a href=\"https://doi.org/10.6084/m9.figshare.9808802.v1\">https://doi.org/10.6084/m9.figshare.9808802.v1</a>","mla":"Sigalova, Olga M., et al. <i>Additional File 15 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction</i>. Springer Nature, 2019, doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808802.v1\">10.6084/m9.figshare.9808802.v1</a>.","ieee":"O. M. Sigalova <i>et al.</i>, “Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.","ama":"Sigalova OM, Chaplin AV, Bochkareva O, et al. Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. 2019. doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808802.v1\">10.6084/m9.figshare.9808802.v1</a>","short":"O.M. Sigalova, A.V. Chaplin, O. Bochkareva, P.V. Shelyakin, V.A. Filaretov, E.E. Akkuratov, V. Burskaia, M.S. Gelfand, (2019).","chicago":"Sigalova, Olga M., Andrei V. Chaplin, Olga Bochkareva, Pavel V. Shelyakin, Vsevolod A. Filaretov, Evgeny E. Akkuratov, Valentina Burskaia, and Mikhail S. Gelfand. “Additional File 15 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction.” Springer Nature, 2019. <a href=\"https://doi.org/10.6084/m9.figshare.9808802.v1\">https://doi.org/10.6084/m9.figshare.9808802.v1</a>."},"user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","day":"12","oa":1,"author":[{"last_name":"Sigalova","first_name":"Olga M.","full_name":"Sigalova, Olga M."},{"first_name":"Andrei V.","full_name":"Chaplin, Andrei V.","last_name":"Chaplin"},{"last_name":"Bochkareva","orcid":"0000-0003-1006-6639","full_name":"Bochkareva, Olga","first_name":"Olga","id":"C4558D3C-6102-11E9-A62E-F418E6697425"},{"last_name":"Shelyakin","first_name":"Pavel V.","full_name":"Shelyakin, Pavel V."},{"full_name":"Filaretov, Vsevolod A.","first_name":"Vsevolod A.","last_name":"Filaretov"},{"last_name":"Akkuratov","full_name":"Akkuratov, Evgeny E.","first_name":"Evgeny E."},{"last_name":"Burskaia","full_name":"Burskaia, Valentina","first_name":"Valentina"},{"last_name":"Gelfand","first_name":"Mikhail S.","full_name":"Gelfand, Mikhail S."}],"type":"research_data_reference","related_material":{"record":[{"status":"public","id":"6898","relation":"used_in_publication"}]},"month":"09","abstract":[{"lang":"eng","text":"Distribution of OGs with mosaic phyletic patterns across species (complete genomes only). (CSV 7 kb)"}],"doi":"10.6084/m9.figshare.9808802.v1","status":"public","_id":"9890","main_file_link":[{"url":"https://doi.org/10.6084/m9.figshare.9808802.v1","open_access":"1"}],"year":"2019","article_processing_charge":"No","date_created":"2021-08-11T14:26:40Z","title":"Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction","date_published":"2019-09-12T00:00:00Z","publisher":"Springer Nature"},{"status":"public","_id":"9892","abstract":[{"lang":"eng","text":"Distribution of OGs with mosaic phyletic patterns across species (all genomes). (CSV 10 kb)"}],"doi":"10.6084/m9.figshare.9808814.v1","type":"research_data_reference","month":"09","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"6898"}]},"citation":{"short":"O.M. Sigalova, A.V. Chaplin, O. Bochkareva, P.V. Shelyakin, V.A. Filaretov, E.E. Akkuratov, V. Burskaia, M.S. Gelfand, (2019).","ama":"Sigalova OM, Chaplin AV, Bochkareva O, et al. Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. 2019. doi:<a href=\"https://doi.org/10.6084/m9.figshare.9808814.v1\">10.6084/m9.figshare.9808814.v1</a>","chicago":"Sigalova, Olga M., Andrei V Chaplin, Olga Bochkareva, Pavel V. Shelyakin, Vsevolod A. Filaretov, Evgeny E. Akkuratov, Valentina Burskaia, and Mikhail S. Gelfand. “Additional File 16 of Chlamydia Pan-Genomic Analysis Reveals Balance between Host Adaptation and Selective Pressure to Genome Reduction.” Springer Nature, 2019. <a href=\"https://doi.org/10.6084/m9.figshare.9808814.v1\">https://doi.org/10.6084/m9.figshare.9808814.v1</a>.","ieee":"O. M. Sigalova <i>et al.</i>, “Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction.” Springer Nature, 2019.","ista":"Sigalova OM, Chaplin AV, Bochkareva O, Shelyakin PV, Filaretov VA, Akkuratov EE, Burskaia V, Gelfand MS. 2019. Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction, Springer Nature, <a href=\"https://doi.org/10.6084/m9.figshare.9808814.v1\">10.6084/m9.figshare.9808814.v1</a>.","apa":"Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E., … Gelfand, M. S. (2019). Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. 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