--- _id: '10736' abstract: - lang: eng text: Predicting function from sequence is a central problem of biology. Currently, this is possible only locally in a narrow mutational neighborhood around a wildtype sequence rather than globally from any sequence. Using random mutant libraries, we developed a biophysical model that accounts for multiple features of σ70 binding bacterial promoters to predict constitutive gene expression levels from any sequence. We experimentally and theoretically estimated that 10–20% of random sequences lead to expression and ~80% of non-expressing sequences are one mutation away from a functional promoter. The potential for generating expression from random sequences is so pervasive that selection acts against σ70-RNA polymerase binding sites even within inter-genic, promoter-containing regions. This pervasiveness of σ70-binding sites implies that emergence of promoters is not the limiting step in gene regulatory evolution. Ultimately, the inclusion of novel features of promoter function into a mechanistic model enabled not only more accurate predictions of gene expression levels, but also identified that promoters evolve more rapidly than previously thought. acknowledgement: 'We thank Hande Acar, Nicholas H Barton, Rok Grah, Tiago Paixao, Maros Pleska, Anna Staron, and Murat Tugrul for insightful comments and input on the manuscript. This work was supported by: Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 216779/Z/19/Z) to ML; IPC Grant from IST Austria to ML and SS; European Research Council Funding Programme 7 (2007–2013, grant agreement number 648440) to JPB.' article_number: e64543 article_processing_charge: No article_type: original author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Srdjan full_name: Sarikas, Srdjan id: 35F0286E-F248-11E8-B48F-1D18A9856A87 last_name: Sarikas - first_name: Magdalena full_name: Steinrueck, Magdalena last_name: Steinrueck - first_name: David full_name: Toledo-Aparicio, David last_name: Toledo-Aparicio - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 citation: ama: Lagator M, Sarikas S, Steinrueck M, et al. Predicting bacterial promoter function and evolution from random sequences. eLife. 2022;11. doi:10.7554/eLife.64543 apa: Lagator, M., Sarikas, S., Steinrueck, M., Toledo-Aparicio, D., Bollback, J. P., Guet, C. C., & Tkačik, G. (2022). Predicting bacterial promoter function and evolution from random sequences. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.64543 chicago: Lagator, Mato, Srdjan Sarikas, Magdalena Steinrueck, David Toledo-Aparicio, Jonathan P Bollback, Calin C Guet, and Gašper Tkačik. “Predicting Bacterial Promoter Function and Evolution from Random Sequences.” ELife. eLife Sciences Publications, 2022. https://doi.org/10.7554/eLife.64543. ieee: M. Lagator et al., “Predicting bacterial promoter function and evolution from random sequences,” eLife, vol. 11. eLife Sciences Publications, 2022. ista: Lagator M, Sarikas S, Steinrueck M, Toledo-Aparicio D, Bollback JP, Guet CC, Tkačik G. 2022. Predicting bacterial promoter function and evolution from random sequences. eLife. 11, e64543. mla: Lagator, Mato, et al. “Predicting Bacterial Promoter Function and Evolution from Random Sequences.” ELife, vol. 11, e64543, eLife Sciences Publications, 2022, doi:10.7554/eLife.64543. short: M. Lagator, S. Sarikas, M. Steinrueck, D. Toledo-Aparicio, J.P. Bollback, C.C. Guet, G. Tkačik, ELife 11 (2022). date_created: 2022-02-06T23:01:32Z date_published: 2022-01-26T00:00:00Z date_updated: 2023-08-02T14:09:02Z day: '26' ddc: - '576' department: - _id: CaGu - _id: GaTk - _id: NiBa doi: 10.7554/eLife.64543 ec_funded: 1 external_id: isi: - '000751104400001' pmid: - '35080492' file: - access_level: open_access checksum: decdcdf600ff51e9a9703b49ca114170 content_type: application/pdf creator: cchlebak date_created: 2022-02-07T07:14:09Z date_updated: 2022-02-07T07:14:09Z file_id: '10739' file_name: 2022_ELife_Lagator.pdf file_size: 5604343 relation: main_file success: 1 file_date_updated: 2022-02-07T07:14:09Z has_accepted_license: '1' intvolume: ' 11' isi: 1 language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: eissn: - 2050-084X publication_status: published publisher: eLife Sciences Publications quality_controlled: '1' scopus_import: '1' status: public title: Predicting bacterial promoter function and evolution from random sequences 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 11 year: '2022' ... --- _id: '9410' abstract: - lang: eng text: Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains. acknowledgement: We would like to thank Martin Ackermann, Camilo Barbosa, Nick Barton, Jonathan Bollback, Sebastian Bonhoeffer, Nick Colegrave, Calin Guet, Alex Hall, Sally Otto, Tiago Paixao, Srdjan Sarikas, Hinrich Schulenburg, Marjon de Vos and Michael Whitlock for insightful support. article_number: '20200913' article_processing_charge: No author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Hildegard full_name: Uecker, Hildegard id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87 last_name: Uecker orcid: 0000-0001-9435-2813 - first_name: Paul full_name: Neve, Paul last_name: Neve citation: ama: Lagator M, Uecker H, Neve P. Adaptation at different points along antibiotic concentration gradients. Biology letters. 2021;17(5). doi:10.1098/rsbl.2020.0913 apa: Lagator, M., Uecker, H., & Neve, P. (2021). Adaptation at different points along antibiotic concentration gradients. Biology Letters. Royal Society of London. https://doi.org/10.1098/rsbl.2020.0913 chicago: Lagator, Mato, Hildegard Uecker, and Paul Neve. “Adaptation at Different Points along Antibiotic Concentration Gradients.” Biology Letters. Royal Society of London, 2021. https://doi.org/10.1098/rsbl.2020.0913. ieee: M. Lagator, H. Uecker, and P. Neve, “Adaptation at different points along antibiotic concentration gradients,” Biology letters, vol. 17, no. 5. Royal Society of London, 2021. ista: Lagator M, Uecker H, Neve P. 2021. Adaptation at different points along antibiotic concentration gradients. Biology letters. 17(5), 20200913. mla: Lagator, Mato, et al. “Adaptation at Different Points along Antibiotic Concentration Gradients.” Biology Letters, vol. 17, no. 5, 20200913, Royal Society of London, 2021, doi:10.1098/rsbl.2020.0913. short: M. Lagator, H. Uecker, P. Neve, Biology Letters 17 (2021). date_created: 2021-05-23T22:01:43Z date_published: 2021-05-12T00:00:00Z date_updated: 2023-08-08T13:44:35Z day: '12' ddc: - '570' department: - _id: NiBa doi: 10.1098/rsbl.2020.0913 ec_funded: 1 external_id: isi: - '000651501400001' pmid: - ' 33975485' file: - access_level: open_access checksum: 9c13c1f5af7609c97c741f11d293188a content_type: application/pdf creator: kschuh date_created: 2021-05-25T14:09:03Z date_updated: 2021-05-25T14:09:03Z file_id: '9425' file_name: 2021_BiologyLetters_Lagator.pdf file_size: 726759 relation: main_file success: 1 file_date_updated: 2021-05-25T14:09:03Z has_accepted_license: '1' intvolume: ' 17' isi: 1 issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Biology letters publication_identifier: eissn: - 1744957X publication_status: published publisher: Royal Society of London quality_controlled: '1' scopus_import: '1' status: public title: Adaptation at different points along antibiotic concentration gradients 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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 17 year: '2021' ... --- _id: '67' abstract: - lang: eng text: 'Gene regulatory networks evolve through rewiring of individual components—that is, through changes in regulatory connections. However, the mechanistic basis of regulatory rewiring is poorly understood. Using a canonical gene regulatory system, we quantify the properties of transcription factors that determine the evolutionary potential for rewiring of regulatory connections: robustness, tunability and evolvability. In vivo repression measurements of two repressors at mutated operator sites reveal their contrasting evolutionary potential: while robustness and evolvability were positively correlated, both were in trade-off with tunability. Epistatic interactions between adjacent operators alleviated this trade-off. A thermodynamic model explains how the differences in robustness, tunability and evolvability arise from biophysical characteristics of repressor–DNA binding. The model also uncovers that the energy matrix, which describes how mutations affect repressor–DNA binding, encodes crucial information about the evolutionary potential of a repressor. The biophysical determinants of evolutionary potential for regulatory rewiring constitute a mechanistic framework for understanding network evolution.' article_processing_charge: No article_type: original author: - first_name: Claudia full_name: Igler, Claudia id: 46613666-F248-11E8-B48F-1D18A9856A87 last_name: Igler - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. 2018;2(10):1633-1643. doi:10.1038/s41559-018-0651-y apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018). Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. Nature Publishing Group. https://doi.org/10.1038/s41559-018-0651-y chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin C Guet. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.” Nature Ecology and Evolution. Nature Publishing Group, 2018. https://doi.org/10.1038/s41559-018-0651-y. ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Evolutionary potential of transcription factors for gene regulatory rewiring,” Nature Ecology and Evolution, vol. 2, no. 10. Nature Publishing Group, pp. 1633–1643, 2018. ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Evolutionary potential of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution. 2(10), 1633–1643. mla: Igler, Claudia, et al. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.” Nature Ecology and Evolution, vol. 2, no. 10, Nature Publishing Group, 2018, pp. 1633–43, doi:10.1038/s41559-018-0651-y. short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, Nature Ecology and Evolution 2 (2018) 1633–1643. date_created: 2018-12-11T11:44:27Z date_published: 2018-09-10T00:00:00Z date_updated: 2024-03-28T23:30:49Z day: '10' ddc: - '570' department: - _id: CaGu - _id: GaTk - _id: JoBo doi: 10.1038/s41559-018-0651-y ec_funded: 1 external_id: isi: - '000447947600021' file: - access_level: open_access checksum: 383a2e2c944a856e2e821ec8e7bf71b6 content_type: application/pdf creator: dernst date_created: 2020-05-14T11:28:52Z date_updated: 2020-07-14T12:47:37Z file_id: '7830' file_name: 2018_NatureEcology_Igler.pdf file_size: 1135973 relation: main_file file_date_updated: 2020-07-14T12:47:37Z has_accepted_license: '1' intvolume: ' 2' isi: 1 issue: '10' language: - iso: eng month: '09' oa: 1 oa_version: Submitted Version page: 1633 - 1643 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer - _id: 251EE76E-B435-11E9-9278-68D0E5697425 grant_number: '24573' name: Design principles underlying genetic switch architecture (DOC Fellowship) publication: Nature Ecology and Evolution publication_status: published publisher: Nature Publishing Group publist_id: '7987' quality_controlled: '1' related_material: record: - id: '5585' relation: popular_science status: public - id: '6371' relation: dissertation_contains status: public scopus_import: '1' status: public title: Evolutionary potential of transcription factors for gene regulatory rewiring type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 2 year: '2018' ... --- _id: '5585' abstract: - lang: eng text: Mean repression values and standard error of the mean are given for all operator mutant libraries. article_processing_charge: No author: - first_name: Claudia full_name: Igler, Claudia id: 46613666-F248-11E8-B48F-1D18A9856A87 last_name: Igler - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Gasper full_name: Tkacik, Gasper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkacik orcid: 0000-0002-6699-1455 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108 apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108 chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:108. ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring.” Institute of Science and Technology Austria, 2018. ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring, Institute of Science and Technology Austria, 10.15479/AT:ISTA:108. mla: Igler, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring. Institute of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:108. short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, (2018). datarep_id: '108' date_created: 2018-12-12T12:31:40Z date_published: 2018-07-20T00:00:00Z date_updated: 2024-03-28T23:30:49Z day: '20' ddc: - '576' department: - _id: CaGu - _id: GaTk doi: 10.15479/AT:ISTA:108 ec_funded: 1 file: - access_level: open_access checksum: 1435781526c77413802adee0d4583cce content_type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet creator: system date_created: 2018-12-12T13:02:45Z date_updated: 2020-07-14T12:47:07Z file_id: '5611' file_name: IST-2018-108-v1+1_data_figures.xlsx file_size: 16507 relation: main_file file_date_updated: 2020-07-14T12:47:07Z has_accepted_license: '1' license: https://creativecommons.org/publicdomain/zero/1.0/ month: '07' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer - _id: 251EE76E-B435-11E9-9278-68D0E5697425 grant_number: '24573' name: Design principles underlying genetic switch architecture (DOC Fellowship) publisher: Institute of Science and Technology Austria related_material: record: - id: '67' relation: research_paper status: public - id: '6371' relation: research_paper status: public status: public title: Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '570' abstract: - lang: eng text: 'Most phenotypes are determined by molecular systems composed of specifically interacting molecules. However, unlike for individual components, little is known about the distributions of mutational effects of molecular systems as a whole. We ask how the distribution of mutational effects of a transcriptional regulatory system differs from the distributions of its components, by first independently, and then simultaneously, mutating a transcription factor and the associated promoter it represses. We find that the system distribution exhibits increased phenotypic variation compared to individual component distributions - an effect arising from intermolecular epistasis between the transcription factor and its DNA-binding site. In large part, this epistasis can be qualitatively attributed to the structure of the transcriptional regulatory system and could therefore be a common feature in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the constraints of individual components, thereby increasing phenotypic variation that selection could act on and facilitating adaptive evolution. ' article_number: e28921 author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Srdjan full_name: Sarikas, Srdjan id: 35F0286E-F248-11E8-B48F-1D18A9856A87 last_name: Sarikas - first_name: Hande full_name: Acar, Hande id: 2DDF136A-F248-11E8-B48F-1D18A9856A87 last_name: Acar orcid: 0000-0003-1986-9753 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. Regulatory network structure determines patterns of intermolecular epistasis. eLife. 2017;6. doi:10.7554/eLife.28921 apa: Lagator, M., Sarikas, S., Acar, H., Bollback, J. P., & Guet, C. C. (2017). Regulatory network structure determines patterns of intermolecular epistasis. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.28921 chicago: Lagator, Mato, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, and Calin C Guet. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.28921. ieee: M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory network structure determines patterns of intermolecular epistasis,” eLife, vol. 6. eLife Sciences Publications, 2017. ista: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. 2017. Regulatory network structure determines patterns of intermolecular epistasis. eLife. 6, e28921. mla: Lagator, Mato, et al. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.” ELife, vol. 6, e28921, eLife Sciences Publications, 2017, doi:10.7554/eLife.28921. short: M. Lagator, S. Sarikas, H. Acar, J.P. Bollback, C.C. Guet, ELife 6 (2017). date_created: 2018-12-11T11:47:14Z date_published: 2017-11-13T00:00:00Z date_updated: 2021-01-12T08:03:15Z day: '13' ddc: - '576' department: - _id: CaGu - _id: JoBo - _id: NiBa doi: 10.7554/eLife.28921 ec_funded: 1 file: - access_level: open_access checksum: 273ab17f33305e4eaafd911ff88e7c5b content_type: application/pdf creator: system date_created: 2018-12-12T10:14:42Z date_updated: 2020-07-14T12:47:10Z file_id: '5096' file_name: IST-2017-918-v1+1_elife-28921-figures-v3.pdf file_size: 8453470 relation: main_file - access_level: open_access checksum: b433f90576c7be597cd43367946f8e7f content_type: application/pdf creator: system date_created: 2018-12-12T10:14:43Z date_updated: 2020-07-14T12:47:10Z file_id: '5097' file_name: IST-2017-918-v1+2_elife-28921-v3.pdf file_size: 1953221 relation: main_file file_date_updated: 2020-07-14T12:47:10Z has_accepted_license: '1' intvolume: ' 6' language: - iso: eng month: '11' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: issn: - 2050084X publication_status: published publisher: eLife Sciences Publications publist_id: '7244' pubrep_id: '918' quality_controlled: '1' scopus_import: 1 status: public title: Regulatory network structure determines patterns of intermolecular epistasis 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: '2017' ... --- _id: '954' abstract: - lang: eng text: Understanding the relation between genotype and phenotype remains a major challenge. The difficulty of predicting individual mutation effects, and particularly the interactions between them, has prevented the development of a comprehensive theory that links genotypic changes to their phenotypic effects. We show that a general thermodynamic framework for gene regulation, based on a biophysical understanding of protein-DNA binding, accurately predicts the sign of epistasis in a canonical cis-regulatory element consisting of overlapping RNA polymerase and repressor binding sites. Sign and magnitude of individual mutation effects are sufficient to predict the sign of epistasis and its environmental dependence. Thus, the thermodynamic model offers the correct null prediction for epistasis between mutations across DNA-binding sites. Our results indicate that a predictive theory for the effects of cis-regulatory mutations is possible from first principles, as long as the essential molecular mechanisms and the constraints these impose on a biological system are accounted for. article_number: e25192 article_processing_charge: Yes author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 citation: ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192 apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C. (2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192 chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192. ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife, vol. 6. eLife Sciences Publications, 2017. ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192. mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications, 2017, doi:10.7554/eLife.25192. short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017). date_created: 2018-12-11T11:49:23Z date_published: 2017-05-18T00:00:00Z date_updated: 2023-09-22T10:01:17Z day: '18' ddc: - '576' department: - _id: CaGu - _id: NiBa - _id: JoBo doi: 10.7554/eLife.25192 ec_funded: 1 external_id: isi: - '000404024800001' file: - access_level: open_access checksum: 59cdd4400fb41280122d414fea971546 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:49Z date_updated: 2020-07-14T12:48:16Z file_id: '5306' file_name: IST-2017-841-v1+1_elife-25192-v2.pdf file_size: 2441529 relation: main_file - access_level: open_access checksum: b69024880558b858eb8c5d47a92b6377 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:50Z date_updated: 2020-07-14T12:48:16Z file_id: '5307' file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf file_size: 3752660 relation: main_file file_date_updated: 2020-07-14T12:48:16Z has_accepted_license: '1' intvolume: ' 6' isi: 1 language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 25B1EC9E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '618091' name: Speed of Adaptation in Population Genetics and Evolutionary Computation - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme - _id: 2578D616-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '648440' name: Selective Barriers to Horizontal Gene Transfer publication: eLife publication_identifier: issn: - 2050084X publication_status: published publisher: eLife Sciences Publications publist_id: '6460' pubrep_id: '841' quality_controlled: '1' scopus_import: '1' status: public title: On the mechanistic nature of epistasis in a canonical cis-regulatory element 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: 6 year: '2017' ... --- _id: '1427' abstract: - lang: eng text: Changes in gene expression are an important mode of evolution; however, the proximate mechanism of these changes is poorly understood. In particular, little is known about the effects of mutations within cis binding sites for transcription factors, or the nature of epistatic interactions between these mutations. Here, we tested the effects of single and double mutants in two cis binding sites involved in the transcriptional regulation of the Escherichia coli araBAD operon, a component of arabinose metabolism, using a synthetic system. This system decouples transcriptional control from any posttranslational effects on fitness, allowing a precise estimate of the effect of single and double mutations, and hence epistasis, on gene expression. We found that epistatic interactions between mutations in the araBAD cis-regulatory element are common, and that the predominant form of epistasis is negative. The magnitude of the interactions depended on whether the mutations are located in the same or in different operator sites. Importantly, these epistatic interactions were dependent on the presence of arabinose, a native inducer of the araBAD operon in vivo, with some interactions changing in sign (e.g., from negative to positive) in its presence. This study thus reveals that mutations in even relatively simple cis-regulatory elements interact in complex ways such that selection on the level of gene expression in one environment might perturb regulation in the other environment in an unpredictable and uncorrelated manner. author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Claudia full_name: Igler, Claudia id: 46613666-F248-11E8-B48F-1D18A9856A87 last_name: Igler - first_name: Anaisa full_name: Moreno, Anaisa last_name: Moreno - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Jonathan P full_name: Bollback, Jonathan P id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87 last_name: Bollback orcid: 0000-0002-4624-4612 citation: ama: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology and Evolution. 2016;33(3):761-769. doi:10.1093/molbev/msv269 apa: Lagator, M., Igler, C., Moreno, A., Guet, C. C., & Bollback, J. P. (2016). Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msv269 chicago: Lagator, Mato, Claudia Igler, Anaisa Moreno, Calin C Guet, and Jonathan P Bollback. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.” Molecular Biology and Evolution. Oxford University Press, 2016. https://doi.org/10.1093/molbev/msv269. ieee: M. Lagator, C. Igler, A. Moreno, C. C. Guet, and J. P. Bollback, “Epistatic interactions in the arabinose cis-regulatory element,” Molecular Biology and Evolution, vol. 33, no. 3. Oxford University Press, pp. 761–769, 2016. ista: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. 2016. Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology and Evolution. 33(3), 761–769. mla: Lagator, Mato, et al. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.” Molecular Biology and Evolution, vol. 33, no. 3, Oxford University Press, 2016, pp. 761–69, doi:10.1093/molbev/msv269. short: M. Lagator, C. Igler, A. Moreno, C.C. Guet, J.P. Bollback, Molecular Biology and Evolution 33 (2016) 761–769. date_created: 2018-12-11T11:51:57Z date_published: 2016-03-01T00:00:00Z date_updated: 2021-01-12T06:50:39Z day: '01' ddc: - '570' - '576' department: - _id: CaGu - _id: JoBo doi: 10.1093/molbev/msv269 ec_funded: 1 file: - access_level: open_access checksum: 1f456ce1d2aa2f67176a1709f9702ecf content_type: application/pdf creator: system date_created: 2018-12-12T10:09:27Z date_updated: 2020-07-14T12:44:53Z file_id: '4751' file_name: IST-2016-588-v1+1_Mol_Biol_Evol-2016-Lagator-761-9.pdf file_size: 648115 relation: main_file file_date_updated: 2020-07-14T12:44:53Z has_accepted_license: '1' intvolume: ' 33' issue: '3' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 761 - 769 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Molecular Biology and Evolution publication_status: published publisher: Oxford University Press publist_id: '5772' pubrep_id: '588' quality_controlled: '1' scopus_import: 1 status: public title: Epistatic interactions in the arabinose cis-regulatory element 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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 33 year: '2016' ... --- _id: '2083' abstract: - lang: eng text: Understanding the effects of sex and migration on adaptation to novel environments remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas reinhardtii, we investigated how sex and migration affected rates of evolutionary rescue in a sink environment, and subsequent changes in fitness following evolutionary rescue. We show that sex and migration affect both the rate of evolutionary rescue and subsequent adaptation. However, their combined effects change as the populations adapt to a sink habitat. Both sex and migration independently increased rates of evolutionary rescue, but the effect of sex on subsequent fitness improvements, following initial rescue, changed with migration, as sex was beneficial in the absence of migration but constraining adaptation when combined with migration. These results suggest that sex and migration are beneficial during the initial stages of adaptation, but can become detrimental as the population adapts to its environment. acknowledgement: The authors are grateful to the Leverhulme Trust (F/00 215/AW) for funding this work. article_processing_charge: No article_type: original author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Andrew full_name: Morgan, Andrew last_name: Morgan - first_name: Paul full_name: Neve, Paul last_name: Neve - first_name: Nick full_name: Colegrave, Nick last_name: Colegrave citation: ama: Lagator M, Morgan A, Neve P, Colegrave N. Role of sex and migration in adaptation to sink environments. Evolution. 2014;68(8):2296-2305. doi:10.1111/evo.12440 apa: Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Role of sex and migration in adaptation to sink environments. Evolution. Wiley. https://doi.org/10.1111/evo.12440 chicago: Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Role of Sex and Migration in Adaptation to Sink Environments.” Evolution. Wiley, 2014. https://doi.org/10.1111/evo.12440. ieee: M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Role of sex and migration in adaptation to sink environments,” Evolution, vol. 68, no. 8. Wiley, pp. 2296–2305, 2014. ista: Lagator M, Morgan A, Neve P, Colegrave N. 2014. Role of sex and migration in adaptation to sink environments. Evolution. 68(8), 2296–2305. mla: Lagator, Mato, et al. “Role of Sex and Migration in Adaptation to Sink Environments.” Evolution, vol. 68, no. 8, Wiley, 2014, pp. 2296–305, doi:10.1111/evo.12440. short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, Evolution 68 (2014) 2296–2305. date_created: 2018-12-11T11:55:36Z date_published: 2014-04-25T00:00:00Z date_updated: 2023-02-23T14:06:51Z day: '25' ddc: - '570' department: - _id: CaGu doi: 10.1111/evo.12440 file: - access_level: open_access checksum: 8d459b07e4a11bb5fde92d969184fe48 content_type: application/pdf creator: dernst date_created: 2020-05-14T16:40:31Z date_updated: 2020-07-14T12:45:28Z file_id: '7845' file_name: 2014_Evolution_Lagator.pdf file_size: 467254 relation: main_file file_date_updated: 2020-07-14T12:45:28Z has_accepted_license: '1' intvolume: ' 68' issue: '8' language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 2296 - 2305 publication: Evolution publication_status: published publisher: Wiley publist_id: '4954' quality_controlled: '1' related_material: record: - id: '9747' relation: research_data status: public scopus_import: 1 status: public title: Role of sex and migration in adaptation to sink environments type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 68 year: '2014' ... --- _id: '9747' abstract: - lang: eng text: Understanding the effects of sex and migration on adaptation to novel environments remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas reinhardtii, we investigated how sex and migration affected rates of evolutionary rescue in a sink environment, and subsequent changes in fitness following evolutionary rescue. We show that sex and migration affect both the rate of evolutionary rescue and subsequent adaptation. However, their combined effects change as the populations adapt to a sink habitat. Both sex and migration independently increased rates of evolutionary rescue, but the effect of sex on subsequent fitness improvements, following initial rescue, changed with migration, as sex was beneficial in the absence of migration but constraining adaptation when combined with migration. These results suggest that sex and migration are beneficial during the initial stages of adaptation, but can become detrimental as the population adapts to its environment. article_processing_charge: No author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Andrew full_name: Morgan, Andrew last_name: Morgan - first_name: Paul full_name: Neve, Paul last_name: Neve - first_name: Nick full_name: Colegrave, Nick last_name: Colegrave citation: ama: 'Lagator M, Morgan A, Neve P, Colegrave N. Data from: Role of sex and migration in adaptation to sink environments. 2014. doi:10.5061/dryad.s42n1' apa: 'Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Data from: Role of sex and migration in adaptation to sink environments. Dryad. https://doi.org/10.5061/dryad.s42n1' chicago: 'Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Data from: Role of Sex and Migration in Adaptation to Sink Environments.” Dryad, 2014. https://doi.org/10.5061/dryad.s42n1.' ieee: 'M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Data from: Role of sex and migration in adaptation to sink environments.” Dryad, 2014.' ista: 'Lagator M, Morgan A, Neve P, Colegrave N. 2014. Data from: Role of sex and migration in adaptation to sink environments, Dryad, 10.5061/dryad.s42n1.' mla: 'Lagator, Mato, et al. Data from: Role of Sex and Migration in Adaptation to Sink Environments. Dryad, 2014, doi:10.5061/dryad.s42n1.' short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, (2014). date_created: 2021-07-28T15:32:55Z date_published: 2014-04-17T00:00:00Z date_updated: 2023-02-23T10:27:31Z day: '17' department: - _id: CaGu doi: 10.5061/dryad.s42n1 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.s42n1 month: '04' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '2083' relation: used_in_publication status: public status: public title: 'Data from: Role of sex and migration in adaptation to sink environments' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2014' ... --- _id: '2036' abstract: - lang: eng text: ' In rapidly changing environments, selection history may impact the dynamics of adaptation. Mutations selected in one environment may result in pleiotropic fitness trade-offs in subsequent novel environments, slowing the rates of adaptation. Epistatic interactions between mutations selected in sequential stressful environments may slow or accelerate subsequent rates of adaptation, depending on the nature of that interaction. We explored the dynamics of adaptation during sequential exposure to herbicides with different modes of action in Chlamydomonas reinhardtii. Evolution of resistance to two of the herbicides was largely independent of selection history. For carbetamide, previous adaptation to other herbicide modes of action positively impacted the likelihood of adaptation to this herbicide. Furthermore, while adaptation to all individual herbicides was associated with pleiotropic fitness costs in stress-free environments, we observed that accumulation of resistance mechanisms was accompanied by a reduction in overall fitness costs. We suggest that antagonistic epistasis may be a driving mechanism that enables populations to more readily adapt in novel environments. These findings highlight the potential for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug and -pesticide resistance, as well as the potential for epistatic interactions between adaptive mutations to facilitate evolutionary rescue in rapidly changing environments. ' acknowledgement: The project was supported by Leverhulme Trust. article_number: '20141679' author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Nick full_name: Colegrave, Nick last_name: Colegrave - first_name: Paul full_name: Neve, Paul last_name: Neve citation: ama: Lagator M, Colegrave N, Neve P. Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses. Proceedings of the Royal Society of London Series B Biological Sciences. 2014;281(1794). doi:10.1098/rspb.2014.1679 apa: Lagator, M., Colegrave, N., & Neve, P. (2014). Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The. https://doi.org/10.1098/rspb.2014.1679 chicago: Lagator, Mato, Nick Colegrave, and Paul Neve. “Selection History and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The, 2014. https://doi.org/10.1098/rspb.2014.1679. ieee: M. Lagator, N. Colegrave, and P. Neve, “Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses,” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 281, no. 1794. Royal Society, The, 2014. ista: Lagator M, Colegrave N, Neve P. 2014. Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses. Proceedings of the Royal Society of London Series B Biological Sciences. 281(1794), 20141679. mla: Lagator, Mato, et al. “Selection History and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings of the Royal Society of London Series B Biological Sciences, vol. 281, no. 1794, 20141679, Royal Society, The, 2014, doi:10.1098/rspb.2014.1679. short: M. Lagator, N. Colegrave, P. Neve, Proceedings of the Royal Society of London Series B Biological Sciences 281 (2014). date_created: 2018-12-11T11:55:21Z date_published: 2014-09-17T00:00:00Z date_updated: 2023-02-23T14:06:44Z day: '17' department: - _id: CaGu doi: 10.1098/rspb.2014.1679 intvolume: ' 281' issue: '1794' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211454/ month: '09' oa: 1 oa_version: Submitted Version publication: Proceedings of the Royal Society of London Series B Biological Sciences publication_status: published publisher: Royal Society, The publist_id: '5019' quality_controlled: '1' related_material: record: - id: '9741' relation: research_data status: public scopus_import: 1 status: public title: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 281 year: '2014' ... --- _id: '9741' abstract: - lang: eng text: In rapidly changing environments, selection history may impact the dynamics of adaptation. Mutations selected in one environment may result in pleiotropic fitness trade-offs in subsequent novel environments, slowing the rates of adaptation. Epistatic interactions between mutations selected in sequential stressful environments may slow or accelerate subsequent rates of adaptation, depending on the nature of that interaction. We explored the dynamics of adaptation during sequential exposure to herbicides with different modes of action in Chlamydomonas reinhardtii. Evolution of resistance to two of the herbicides was largely independent of selection history. For carbetamide, previous adaptation to other herbicide modes of action positively impacted the likelihood of adaptation to this herbicide. Furthermore, while adaptation to all individual herbicides was associated with pleiotropic fitness costs in stress-free environments, we observed that accumulation of resistance mechanisms was accompanied by a reduction in overall fitness costs. We suggest that antagonistic epistasis may be a driving mechanism that enables populations to more readily adapt in novel environments. These findings highlight the potential for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug and -pesticide resistance, as well as the potential for epistatic interactions between adaptive mutations to facilitate evolutionary rescue in rapidly changing environments. article_processing_charge: No author: - first_name: Mato full_name: Lagator, Mato id: 345D25EC-F248-11E8-B48F-1D18A9856A87 last_name: Lagator - first_name: Nick full_name: Colegrave, Nick last_name: Colegrave - first_name: Paul full_name: Neve, Paul last_name: Neve citation: ama: 'Lagator M, Colegrave N, Neve P. Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses. 2014. doi:10.5061/dryad.85dn7' apa: 'Lagator, M., Colegrave, N., & Neve, P. (2014). Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses. Dryad. https://doi.org/10.5061/dryad.85dn7' chicago: 'Lagator, Mato, Nick Colegrave, and Paul Neve. “Data from: Selection History and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses.” Dryad, 2014. https://doi.org/10.5061/dryad.85dn7.' ieee: 'M. Lagator, N. Colegrave, and P. Neve, “Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses.” Dryad, 2014.' ista: 'Lagator M, Colegrave N, Neve P. 2014. Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses, Dryad, 10.5061/dryad.85dn7.' mla: 'Lagator, Mato, et al. Data from: Selection History and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses. Dryad, 2014, doi:10.5061/dryad.85dn7.' short: M. Lagator, N. Colegrave, P. Neve, (2014). date_created: 2021-07-28T08:48:06Z date_published: 2014-08-21T00:00:00Z date_updated: 2023-02-23T10:25:31Z day: '21' department: - _id: CaGu doi: 10.5061/dryad.85dn7 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.85dn7 month: '08' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '2036' relation: used_in_publication status: public status: public title: 'Data from: Selection history and epistatic interactions impact dynamics of adaptation to novel environmental stresses' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2014' ...