--- _id: '12265' acknowledgement: We are very grateful to the authors of the commentaries for the interesting discussion and to Luke Holman for handling this set of manuscripts. Part of this work was funded by the Austrian Science Fund FWF (grant P 32166). article_processing_charge: Yes (via OA deal) article_type: letter_note author: - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. 2022;35(9):1200-1205. doi:10.1111/jeb.14082' apa: 'Westram, A. M., Stankowski, S., Surendranadh, P., & Barton, N. H. (2022). Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.14082' chicago: 'Westram, Anja M, Sean Stankowski, Parvathy Surendranadh, and Nicholas H Barton. “Reproductive Isolation, Speciation, and the Value of Disagreement: A Reply to the Commentaries on ‘What Is Reproductive Isolation?’” Journal of Evolutionary Biology. Wiley, 2022. https://doi.org/10.1111/jeb.14082.' ieee: 'A. M. Westram, S. Stankowski, P. Surendranadh, and N. H. Barton, “Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?,’” Journal of Evolutionary Biology, vol. 35, no. 9. Wiley, pp. 1200–1205, 2022.' ista: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. 2022. Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary Biology. 35(9), 1200–1205.' mla: 'Westram, Anja M., et al. “Reproductive Isolation, Speciation, and the Value of Disagreement: A Reply to the Commentaries on ‘What Is Reproductive Isolation?’” Journal of Evolutionary Biology, vol. 35, no. 9, Wiley, 2022, pp. 1200–05, doi:10.1111/jeb.14082.' short: A.M. Westram, S. Stankowski, P. Surendranadh, N.H. Barton, Journal of Evolutionary Biology 35 (2022) 1200–1205. date_created: 2023-01-16T09:59:37Z date_published: 2022-09-01T00:00:00Z date_updated: 2023-08-04T09:53:41Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/jeb.14082 external_id: isi: - '000849851100009' file: - access_level: open_access checksum: 27268009e5eec030bc10667a4ac5ed4c content_type: application/pdf creator: dernst date_created: 2023-01-30T10:14:09Z date_updated: 2023-01-30T10:14:09Z file_id: '12449' file_name: 2022_JourEvoBiology_Westram_Response.pdf file_size: 349603 relation: main_file success: 1 file_date_updated: 2023-01-30T10:14:09Z has_accepted_license: '1' intvolume: ' 35' isi: 1 issue: '9' keyword: - Ecology - Evolution - Behavior and Systematics language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 1200-1205 project: - _id: 05959E1C-7A3F-11EA-A408-12923DDC885E grant_number: P32166 name: The maintenance of alternative adaptive peaks in snapdragons publication: Journal of Evolutionary Biology publication_identifier: eissn: - 1420-9101 issn: - 1010-061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '12264' relation: other status: public scopus_import: '1' status: public title: 'Reproductive isolation, speciation, and the value of disagreement: A reply to the commentaries on ‘What is reproductive isolation?’' 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: 35 year: '2022' ... --- _id: '10787' abstract: - lang: eng text: "A species distributed across diverse environments may adapt to local conditions. We ask how quickly such a species changes its range in response to changed conditions. Szép et al. (Szép E, Sachdeva H, Barton NH. 2021 Polygenic local adaptation in metapopulations: a stochastic eco-evolutionary model. Evolution75, 1030–1045 (doi:10.1111/evo.14210)) used the infinite island model to find the stationary distribution of allele frequencies and deme sizes. We extend this to find how a metapopulation responds to changes in carrying capacity, selection strength, or migration rate when deme sizes are fixed. We further develop a ‘fixed-state’ approximation. Under this approximation, polymorphism is only possible for a narrow range of habitat proportions when selection is weak compared to drift, but for a much wider range otherwise. When rates of selection or migration relative to drift change in a single deme of the metapopulation, the population takes a time of order m−1 to reach the new equilibrium. However, even with many loci, there can be substantial fluctuations in net adaptation, because at each locus, alleles randomly get lost or fixed. Thus, in a finite metapopulation, variation may gradually be lost by chance, even if it would persist in an infinite metapopulation. When conditions change across the whole metapopulation, there can be rapid change, which is predicted well by the fixed-state approximation. This work helps towards an understanding of how metapopulations extend their range across diverse environments.\r\nThis article is part of the theme issue ‘Species’ ranges in the face of changing environments (Part II)’." acknowledgement: This research was partly funded by the Austrian Science Fund (FWF) [FWF P-32896B]. article_processing_charge: No article_type: original author: - 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: Oluwafunmilola O full_name: Olusanya, Oluwafunmilola O id: 41AD96DC-F248-11E8-B48F-1D18A9856A87 last_name: Olusanya orcid: 0000-0003-1971-8314 citation: ama: 'Barton NH, Olusanya OO. The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. 2022;377(1848). doi:10.1098/rstb.2021.0009' apa: 'Barton, N. H., & Olusanya, O. O. (2022). The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rstb.2021.0009' chicago: 'Barton, Nicholas H, and Oluwafunmilola O Olusanya. “The Response of a Metapopulation to a Changing Environment.” Philosophical Transactions of the Royal Society B: Biological Sciences. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0009.' ieee: 'N. H. Barton and O. O. Olusanya, “The response of a metapopulation to a changing environment,” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 377, no. 1848. The Royal Society, 2022.' ista: 'Barton NH, Olusanya OO. 2022. The response of a metapopulation to a changing environment. Philosophical Transactions of the Royal Society B: Biological Sciences. 377(1848).' mla: 'Barton, Nicholas H., and Oluwafunmilola O. Olusanya. “The Response of a Metapopulation to a Changing Environment.” Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 377, no. 1848, The Royal Society, 2022, doi:10.1098/rstb.2021.0009.' short: 'N.H. Barton, O.O. Olusanya, Philosophical Transactions of the Royal Society B: Biological Sciences 377 (2022).' date_created: 2022-02-21T16:08:10Z date_published: 2022-04-11T00:00:00Z date_updated: 2024-01-26T12:00:53Z day: '11' ddc: - '570' department: - _id: GradSch - _id: NiBa doi: 10.1098/rstb.2021.0009 external_id: isi: - '000758140300001' pmid: - '35184588' file: - access_level: open_access checksum: 3b0243738f01bf3c07e0d7e8dc64f71d content_type: application/pdf creator: dernst date_created: 2022-08-02T06:14:32Z date_updated: 2022-08-02T06:14:32Z file_id: '11719' file_name: 2022_PhilosophicalTransactionsRSB_Barton.pdf file_size: 1349672 relation: main_file success: 1 file_date_updated: 2022-08-02T06:14:32Z has_accepted_license: '1' intvolume: ' 377' isi: 1 issue: '1848' keyword: - General Agricultural and Biological Sciences - General Biochemistry - Genetics and Molecular Biology language: - iso: eng month: '04' oa: 1 oa_version: Published Version pmid: 1 project: - _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8 grant_number: P32896 name: Causes and consequences of population fragmentation publication: 'Philosophical Transactions of the Royal Society B: Biological Sciences' publication_identifier: eissn: - 1471-2970 issn: - 0962-8436 publication_status: published publisher: The Royal Society quality_controlled: '1' related_material: record: - id: '14711' relation: dissertation_contains status: public scopus_import: '1' status: public title: The response of a metapopulation to a changing environment 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: 377 year: '2022' ... --- _id: '10658' abstract: - lang: eng text: We analyse how migration from a large mainland influences genetic load and population numbers on an island, in a scenario where fitness-affecting variants are unconditionally deleterious, and where numbers decline with increasing load. Our analysis shows that migration can have qualitatively different effects, depending on the total mutation target and fitness effects of deleterious variants. In particular, we find that populations exhibit a genetic Allee effect across a wide range of parameter combinations, when variants are partially recessive, cycling between low-load (large-population) and high-load (sink) states. Increased migration reduces load in the sink state (by increasing heterozygosity) but further inflates load in the large-population state (by hindering purging). We identify various critical parameter thresholds at which one or other stable state collapses, and discuss how these thresholds are influenced by the genetic versus demographic effects of migration. Our analysis is based on a ‘semi-deterministic’ analysis, which accounts for genetic drift but neglects demographic stochasticity. We also compare against simulations which account for both demographic stochasticity and drift. Our results clarify the importance of gene flow as a key determinant of extinction risk in peripheral populations, even in the absence of ecological gradients. This article is part of the theme issue ‘Species’ ranges in the face of changing environments (part I)’. acknowledgement: This research was partly funded by the Austrian Science Fund (FWF) (grant no. P-32896B). article_number: '20210010' article_processing_charge: No article_type: original author: - first_name: Himani full_name: Sachdeva, Himani last_name: Sachdeva - first_name: Oluwafunmilola O full_name: Olusanya, Oluwafunmilola O id: 41AD96DC-F248-11E8-B48F-1D18A9856A87 last_name: Olusanya orcid: 0000-0003-1971-8314 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Sachdeva H, Olusanya OO, Barton NH. Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. 2022;377(1846). doi:10.1098/rstb.2021.0010' apa: 'Sachdeva, H., Olusanya, O. O., & Barton, N. H. (2022). Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. The Royal Society. https://doi.org/10.1098/rstb.2021.0010' chicago: 'Sachdeva, Himani, Oluwafunmilola O Olusanya, and Nicholas H Barton. “Genetic Load and Extinction in Peripheral Populations: The Roles of Migration, Drift and Demographic Stochasticity.” Philosophical Transactions of the Royal Society B. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0010.' ieee: 'H. Sachdeva, O. O. Olusanya, and N. H. Barton, “Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity,” Philosophical Transactions of the Royal Society B, vol. 377, no. 1846. The Royal Society, 2022.' ista: 'Sachdeva H, Olusanya OO, Barton NH. 2022. Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity. Philosophical Transactions of the Royal Society B. 377(1846), 20210010.' mla: 'Sachdeva, Himani, et al. “Genetic Load and Extinction in Peripheral Populations: The Roles of Migration, Drift and Demographic Stochasticity.” Philosophical Transactions of the Royal Society B, vol. 377, no. 1846, 20210010, The Royal Society, 2022, doi:10.1098/rstb.2021.0010.' short: H. Sachdeva, O.O. Olusanya, N.H. Barton, Philosophical Transactions of the Royal Society B 377 (2022). date_created: 2022-01-24T10:34:53Z date_published: 2022-01-24T00:00:00Z date_updated: 2024-01-26T12:00:53Z day: '24' ddc: - '576' department: - _id: GradSch - _id: NiBa doi: 10.1098/rstb.2021.0010 external_id: isi: - '000745854300008' pmid: - '35067097' file: - access_level: open_access checksum: 04ca9e2f0e344d680b947f2457df8d0a content_type: application/pdf creator: oolusany date_created: 2022-01-24T10:34:45Z date_updated: 2022-01-24T10:34:45Z file_id: '10659' file_name: rstb.2021.0010.pdf file_size: 1845792 relation: main_file file_date_updated: 2022-01-24T10:34:45Z has_accepted_license: '1' intvolume: ' 377' isi: 1 issue: '1846' language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8 grant_number: P32896 name: Causes and consequences of population fragmentation publication: Philosophical Transactions of the Royal Society B publication_identifier: eissn: - 1471-2970 issn: - 0962-8436 publication_status: published publisher: The Royal Society quality_controlled: '1' related_material: link: - relation: earlier_version url: https://doi.org/10.1101/2021.08.05.455207 record: - id: '14711' relation: dissertation_contains status: public status: public title: 'Genetic load and extinction in peripheral populations: The roles of migration, drift and demographic stochasticity' 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: 377 year: '2022' ... --- _id: '11411' abstract: - lang: eng text: Many studies have quantified the distribution of heterozygosity and relatedness in natural populations, but few have examined the demographic processes driving these patterns. In this study, we take a novel approach by studying how population structure affects both pairwise identity and the distribution of heterozygosity in a natural population of the self-incompatible plant Antirrhinum majus. Excess variance in heterozygosity between individuals is due to identity disequilibrium, which reflects the variance in inbreeding between individuals; it is measured by the statistic g2. We calculated g2 together with FST and pairwise relatedness (Fij) using 91 SNPs in 22,353 individuals collected over 11 years. We find that pairwise Fij declines rapidly over short spatial scales, and the excess variance in heterozygosity between individuals reflects significant variation in inbreeding. Additionally, we detect an excess of individuals with around half the average heterozygosity, indicating either selfing or matings between close relatives. We use 2 types of simulation to ask whether variation in heterozygosity is consistent with fine-scale spatial population structure. First, by simulating offspring using parents drawn from a range of spatial scales, we show that the known pollen dispersal kernel explains g2. Second, we simulate a 1,000-generation pedigree using the known dispersal and spatial distribution and find that the resulting g2 is consistent with that observed from the field data. In contrast, a simulated population with uniform density underestimates g2, indicating that heterogeneous density promotes identity disequilibrium. Our study shows that heterogeneous density and leptokurtic dispersal can together explain the distribution of heterozygosity. acknowledged_ssus: - _id: ScienComp acknowledgement: "Part of this work was funded by Marie Curie COFUND Doctoral Fellowship and Austrian Science Fund FWF (grant P32166).\r\nWe thank the many volunteers and friends who have contributed to data collection in the field site over the years, in particular those who have managed field seasons: Barbora Trubenova, Maria Clara Melo, Tom Ellis, Eva Cereghetti, Lenka Matejovicova, Beatriz Pablo Carmona. Frederic Ferrer and Eva Salmerón Mateu have been immensely helpful with logistics at our informal field station, El Serrat de Planoles. We thank Sean Stankowski for technical help in\r\nproducing figure 1. This research was also supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp)." article_number: iyac083 article_processing_charge: No article_type: original author: - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh - first_name: Louise S full_name: Arathoon, Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon orcid: 0000-0003-1771-714X - first_name: Carina full_name: Baskett, Carina id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87 last_name: Baskett orcid: 0000-0002-7354-8574 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Genetics. 2022;221(3). doi:10.1093/genetics/iyac083 apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., & Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Genetics. Oxford University Press. https://doi.org/10.1093/genetics/iyac083 chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field, Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.” Genetics. Oxford University Press, 2022. https://doi.org/10.1093/genetics/iyac083. ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H. Barton, “Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus,” Genetics, vol. 221, no. 3. Oxford University Press, 2022. ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2022. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Genetics. 221(3), iyac083. mla: Surendranadh, Parvathy, et al. “Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.” Genetics, vol. 221, no. 3, iyac083, Oxford University Press, 2022, doi:10.1093/genetics/iyac083. short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton, Genetics 221 (2022). date_created: 2022-05-26T13:44:50Z date_published: 2022-07-01T00:00:00Z date_updated: 2024-02-21T12:38:33Z day: '01' ddc: - '576' department: - _id: GradSch - _id: NiBa doi: 10.1093/genetics/iyac083 external_id: isi: - '000803735800001' pmid: - '35639938' file: - access_level: open_access checksum: cc2d56deb608bd53c5cc02f03a875107 content_type: application/pdf creator: larathoo date_created: 2022-05-26T12:48:15Z date_updated: 2022-05-26T12:48:15Z file_id: '11412' file_name: Manuscript.pdf file_size: 885374 relation: main_file success: 1 - access_level: open_access checksum: 693742595b6c7ed809423be01460d083 content_type: application/pdf creator: larathoo date_created: 2022-05-26T12:48:21Z date_updated: 2022-05-26T12:48:21Z file_id: '11413' file_name: SupplementalMaterial.pdf file_size: 1401704 relation: main_file success: 1 file_date_updated: 2022-05-26T12:48:21Z has_accepted_license: '1' intvolume: ' 221' isi: 1 issue: '3' language: - iso: eng month: '07' oa: 1 oa_version: Submitted Version pmid: 1 project: - _id: 05959E1C-7A3F-11EA-A408-12923DDC885E grant_number: P32166 name: The maintenance of alternative adaptive peaks in snapdragons publication: Genetics publication_identifier: eissn: - 1943-2631 publication_status: published publisher: Oxford University Press quality_controlled: '1' related_material: record: - id: '14651' relation: dissertation_contains status: public - id: '11321' relation: research_data status: public - id: '9192' relation: research_data status: public scopus_import: '1' status: public title: Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 221 year: '2022' ... --- _id: '11321' abstract: - lang: eng text: 'Here are the research data underlying the publication "Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus" Further information are summed up in the README document. ' article_processing_charge: No author: - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh - first_name: Louise S full_name: Arathoon, Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon orcid: 0000-0003-1771-714X - first_name: Carina full_name: Baskett, Carina id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87 last_name: Baskett orcid: 0000-0002-7354-8574 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. 2022. doi:10.15479/at:ista:11321 apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., & Barton, N. H. (2022). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11321 chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field, Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11321. ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H. Barton, “Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus.” Institute of Science and Technology Austria, 2022. ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2022. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus, Institute of Science and Technology Austria, 10.15479/at:ista:11321. mla: Surendranadh, Parvathy, et al. Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11321. short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton, (2022). contributor: - contributor_type: project_member first_name: Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon - contributor_type: project_member first_name: Carina id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87 last_name: Baskett orcid: 0000-0002-7354-8574 - contributor_type: project_member first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - contributor_type: project_member first_name: Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - contributor_type: project_member first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 date_created: 2022-04-22T09:42:24Z date_published: 2022-04-28T00:00:00Z date_updated: 2024-02-21T12:41:09Z day: '28' ddc: - '570' department: - _id: GradSch - _id: NiBa doi: 10.15479/at:ista:11321 file: - access_level: open_access checksum: 96c1b86cdf25481f2a52972fcc45ca7f content_type: application/x-zip-compressed creator: larathoo date_created: 2022-04-22T09:39:03Z date_updated: 2022-04-22T09:39:03Z file_id: '11326' file_name: Data_Code.zip file_size: 13260571 relation: main_file success: 1 file_date_updated: 2022-04-22T09:39:03Z has_accepted_license: '1' month: '04' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '11411' relation: used_in_publication status: public - id: '9192' relation: earlier_version status: public - id: '8254' relation: earlier_version status: public status: public title: Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus 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: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2022' ... --- _id: '12081' abstract: - lang: eng text: 'Selection accumulates information in the genome—it guides stochastically evolving populations toward states (genotype frequencies) that would be unlikely under neutrality. This can be quantified as the Kullback–Leibler (KL) divergence between the actual distribution of genotype frequencies and the corresponding neutral distribution. First, we show that this population-level information sets an upper bound on the information at the level of genotype and phenotype, limiting how precisely they can be specified by selection. Next, we study how the accumulation and maintenance of information is limited by the cost of selection, measured as the genetic load or the relative fitness variance, both of which we connect to the control-theoretic KL cost of control. The information accumulation rate is upper bounded by the population size times the cost of selection. This bound is very general, and applies across models (Wright–Fisher, Moran, diffusion) and to arbitrary forms of selection, mutation, and recombination. Finally, the cost of maintaining information depends on how it is encoded: Specifying a single allele out of two is expensive, but one bit encoded among many weakly specified loci (as in a polygenic trait) is cheap.' acknowledgement: We thank Ksenia Khudiakova, Wiktor Młynarski, Sean Stankowski, and two anonymous reviewers for discussions and comments on the manuscript. G.T. and M.H. acknowledge funding from the Human Frontier Science Program Grant RGP0032/2018. N.B. acknowledges funding from ERC Grant 250152 “Information and Evolution.” article_number: e2123152119 article_processing_charge: No article_type: original author: - first_name: Michal full_name: Hledik, Michal id: 4171253A-F248-11E8-B48F-1D18A9856A87 last_name: Hledik - 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: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: '1' citation: ama: Hledik M, Barton NH, Tkačik G. Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. 2022;119(36). doi:10.1073/pnas.2123152119 apa: Hledik, M., Barton, N. H., & Tkačik, G. (2022). Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2123152119 chicago: Hledik, Michal, Nicholas H Barton, and Gašper Tkačik. “Accumulation and Maintenance of Information in Evolution.” Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences, 2022. https://doi.org/10.1073/pnas.2123152119. ieee: M. Hledik, N. H. Barton, and G. Tkačik, “Accumulation and maintenance of information in evolution,” Proceedings of the National Academy of Sciences, vol. 119, no. 36. Proceedings of the National Academy of Sciences, 2022. ista: Hledik M, Barton NH, Tkačik G. 2022. Accumulation and maintenance of information in evolution. Proceedings of the National Academy of Sciences. 119(36), e2123152119. mla: Hledik, Michal, et al. “Accumulation and Maintenance of Information in Evolution.” Proceedings of the National Academy of Sciences, vol. 119, no. 36, e2123152119, Proceedings of the National Academy of Sciences, 2022, doi:10.1073/pnas.2123152119. short: M. Hledik, N.H. Barton, G. Tkačik, Proceedings of the National Academy of Sciences 119 (2022). date_created: 2022-09-11T22:01:55Z date_published: 2022-08-29T00:00:00Z date_updated: 2024-03-06T14:22:51Z day: '29' ddc: - '570' department: - _id: NiBa - _id: GaTk doi: 10.1073/pnas.2123152119 ec_funded: 1 external_id: isi: - '000889278400014' pmid: - '36037343' file: - access_level: open_access checksum: 6dec51f6567da9039982a571508a8e4d content_type: application/pdf creator: dernst date_created: 2022-09-12T08:08:12Z date_updated: 2022-09-12T08:08:12Z file_id: '12091' file_name: 2022_PNAS_Hledik.pdf file_size: 2165752 relation: main_file success: 1 file_date_updated: 2022-09-12T08:08:12Z has_accepted_license: '1' intvolume: ' 119' isi: 1 issue: '36' language: - iso: eng month: '08' 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 - _id: 2665AAFE-B435-11E9-9278-68D0E5697425 grant_number: RGP0034/2018 name: Can evolution minimize spurious signaling crosstalk to reach optimal performance? publication: Proceedings of the National Academy of Sciences publication_identifier: eissn: - 1091-6490 issn: - 0027-8424 publication_status: published publisher: Proceedings of the National Academy of Sciences quality_controlled: '1' related_material: record: - id: '15020' relation: dissertation_contains status: public scopus_import: '1' status: public title: Accumulation and maintenance of information in evolution 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: 119 year: '2022' ... --- _id: '11388' abstract: - lang: eng text: "In evolve and resequence experiments, a population is sequenced, subjected to selection and\r\nthen sequenced again, so that genetic changes before and after selection can be observed at\r\nthe genetic level. Here, I use these studies to better understand the genetic basis of complex\r\ntraits - traits which depend on more than a few genes.\r\nIn the first chapter, I discuss the first evolve and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\" mice, were selected for tibia length while their body mass\r\nwas kept constant. The full pedigree is known. We observed a selection response on all\r\nchromosomes and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber of genes with infinitesimally small effect sizes, as a null model. Results implied a very\r\npolygenic basis with a few loci of major effect standing out and changing in parallel. There\r\nwas large variability between the different chromosomes in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving an equation based on the initial allele frequencies, average\r\npairwise LD, and the first four moments of the haplotype block copy number distribution. I\r\ndescribe this distribution by referring back to the founder generation. I then demonstrate\r\nhow to infer selection via a maximum likelihood scheme on the example of a single locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations. The experiment was highly replicated with 27 lines selected within family and a\r\nknown pedigree. We observed a phenotypic selection response of over one standard deviation.\r\nI describe the patterns in allele frequency data, including allele frequency changes and patterns\r\nof heterozygosity, and give ideas for future work." alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Stefanie full_name: Belohlavy, Stefanie id: 43FE426A-F248-11E8-B48F-1D18A9856A87 last_name: Belohlavy orcid: 0000-0002-9849-498X citation: ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve and resequence experiments. 2022. doi:10.15479/at:ista:11388 apa: Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11388 chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11388. ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of evolve and resequence experiments,” Institute of Science and Technology Austria, 2022. ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis of evolve and resequence experiments. Institute of Science and Technology Austria. mla: Belohlavy, Stefanie. The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11388. short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of Evolve and Resequence Experiments, Institute of Science and Technology Austria, 2022. date_created: 2022-05-16T16:49:18Z date_published: 2022-05-18T00:00:00Z date_updated: 2023-08-29T06:41:51Z day: '18' ddc: - '576' degree_awarded: PhD department: - _id: GradSch - _id: NiBa doi: 10.15479/at:ista:11388 file: - access_level: open_access checksum: 4d75e6a619df7e8a9d6e840aee182380 content_type: application/pdf creator: sbelohla date_created: 2022-05-19T13:03:13Z date_updated: 2023-05-20T22:30:03Z embargo: 2023-05-19 file_id: '11398' file_name: thesis_sb_final_pdfa.pdf file_size: 8247240 relation: main_file - access_level: closed checksum: 7a5d8b6dd0ca00784f860075b0a7d8f0 content_type: application/x-zip-compressed creator: sbelohla date_created: 2022-05-19T13:07:47Z date_updated: 2023-05-20T22:30:03Z embargo_to: open_access file_id: '11399' file_name: thesis_sb_final.zip file_size: 7094 relation: source_file file_date_updated: 2023-05-20T22:30:03Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '98' publication_identifier: isbn: - 978-3-99078-018-3 publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '6713' relation: part_of_dissertation status: public status: public supervisor: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 title: The genetic basis of complex traits studied via analysis of evolve and resequence experiments 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: dissertation user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2022' ... --- _id: '10535' abstract: - lang: eng text: Realistic models of biological processes typically involve interacting components on multiple scales, driven by changing environment and inherent stochasticity. Such models are often analytically and numerically intractable. We revisit a dynamic maximum entropy method that combines a static maximum entropy with a quasi-stationary approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics, without the need to track microscopic details. Although the method has been previously applied to a few (rather complicated) applications in population genetics, our main goal here is to explain and to better understand how the method works. We demonstrate the usefulness of the method for two widely studied stochastic problems, highlighting its accuracy in capturing important macroscopic quantities even in rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process, the method recovers the exact dynamics whilst for a stochastic island model with migration from other habitats, the approximation retains high macroscopic accuracy under a wide range of scenarios in a dynamic environment. acknowledged_ssus: - _id: ScienComp acknowledgement: "Computational resources for the study were provided by the Institute of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20." article_number: e1009661 article_processing_charge: No article_type: original author: - first_name: Katarína full_name: Bod'ová, Katarína id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87 last_name: Bod'ová orcid: 0000-0002-7214-0171 - first_name: Eniko full_name: Szep, Eniko id: 485BB5A4-F248-11E8-B48F-1D18A9856A87 last_name: Szep - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. 2021;17(12). doi:10.1371/journal.pcbi.1009661 apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661 chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661. ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate approximation of structured population dynamics,” PLoS Computational Biology, vol. 17, no. 12. Public Library of Science, 2021. ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate approximation of structured population dynamics. PLoS Computational Biology. 17(12), e1009661. mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational Biology, vol. 17, no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661. short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021). date_created: 2021-12-12T23:01:27Z date_published: 2021-12-01T00:00:00Z date_updated: 2022-08-01T10:48:04Z day: '01' ddc: - '570' department: - _id: NiBa - _id: GaTk doi: 10.1371/journal.pcbi.1009661 external_id: arxiv: - '2102.03669' pmid: - '34851948' file: - access_level: open_access checksum: dcd185d4f7e0acee25edf1d6537f447e content_type: application/pdf creator: dernst date_created: 2022-05-16T08:53:11Z date_updated: 2022-05-16T08:53:11Z file_id: '11383' file_name: 2021_PLOsComBio_Bodova.pdf file_size: 2299486 relation: main_file success: 1 file_date_updated: 2022-05-16T08:53:11Z has_accepted_license: '1' intvolume: ' 17' issue: '12' language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 publication: PLoS Computational Biology publication_identifier: eissn: - 1553-7358 issn: - 1553-734X publication_status: published publisher: Public Library of Science quality_controlled: '1' scopus_import: '1' status: public title: Dynamic maximum entropy provides accurate approximation of structured population dynamics 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: 17 year: '2021' ... --- _id: '8708' abstract: - lang: eng text: The Mytilus complex of marine mussel species forms a mosaic of hybrid zones, found across temperate regions of the globe. This allows us to study ‘replicated’ instances of secondary contact between closely related species. Previous work on this complex has shown that local introgression is both widespread and highly heterogeneous, and has identified SNPs that are outliers of differentiation between lineages. Here, we developed an ancestry‐informative panel of such SNPs. We then compared their frequencies in newly sampled populations, including samples from within the hybrid zones, and parental populations at different distances from the contact. Results show that close to the hybrid zones, some outlier loci are near to fixation for the heterospecific allele, suggesting enhanced local introgression, or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses, treating local parental populations as the reference, reveal a globally high concordance among loci, albeit with a few signals of asymmetric introgression. Enhanced local introgression at specific loci is consistent with the early transfer of adaptive variants after contact, possibly including asymmetric bi‐stable variants (Dobzhansky‐Muller incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having escaped one barrier, however, these variants can be trapped or delayed at the next barrier, confining the introgression locally. These results shed light on the decay of species barriers during phases of contact. acknowledgement: Data used in this work were partly produced through the genotyping and sequencing facilities of ISEM and LabEx CeMEB, an ANR ‘Investissements d'avenir’ program (ANR‐10‐LABX‐04‐01) This project benefited from the Montpellier Bioinformatics Biodiversity platform supported by the LabEx CeMEB. We thank Norah Saarman, Grant Pogson, Célia Gosset and Pierre‐Alexandre Gagnaire for providing samples. This work was funded by a Languedoc‐Roussillon ‘Chercheur(se)s d'Avenir’ grant (Connect7 project). P. Strelkov was supported by the Russian Science Foundation project 19‐74‐20024. This is article 2020‐240 of Institut des Sciences de l'Evolution de Montpellier. article_processing_charge: No article_type: original author: - first_name: Alexis full_name: Simon, Alexis last_name: Simon - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: Tahani full_name: El Ayari, Tahani last_name: El Ayari - first_name: Cathy full_name: Liautard‐Haag, Cathy last_name: Liautard‐Haag - first_name: Petr full_name: Strelkov, Petr last_name: Strelkov - first_name: John J full_name: Welch, John J last_name: Welch - first_name: Nicolas full_name: Bierne, Nicolas last_name: Bierne citation: ama: Simon A, Fraisse C, El Ayari T, et al. How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 2021;34(1):208-223. doi:10.1111/jeb.13709 apa: Simon, A., Fraisse, C., El Ayari, T., Liautard‐Haag, C., Strelkov, P., Welch, J. J., & Bierne, N. (2021). How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. Wiley. https://doi.org/10.1111/jeb.13709 chicago: Simon, Alexis, Christelle Fraisse, Tahani El Ayari, Cathy Liautard‐Haag, Petr Strelkov, John J Welch, and Nicolas Bierne. “How Do Species Barriers Decay? Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13709. ieee: A. Simon et al., “How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels,” Journal of Evolutionary Biology, vol. 34, no. 1. Wiley, pp. 208–223, 2021. ista: Simon A, Fraisse C, El Ayari T, Liautard‐Haag C, Strelkov P, Welch JJ, Bierne N. 2021. How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 34(1), 208–223. mla: Simon, Alexis, et al. “How Do Species Barriers Decay? Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology, vol. 34, no. 1, Wiley, 2021, pp. 208–23, doi:10.1111/jeb.13709. short: A. Simon, C. Fraisse, T. El Ayari, C. Liautard‐Haag, P. Strelkov, J.J. Welch, N. Bierne, Journal of Evolutionary Biology 34 (2021) 208–223. date_created: 2020-10-25T23:01:20Z date_published: 2021-01-01T00:00:00Z date_updated: 2023-08-04T11:04:11Z day: '01' department: - _id: BeVi - _id: NiBa doi: 10.1111/jeb.13709 external_id: isi: - '000579599700001' pmid: - '33045123' intvolume: ' 34' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1101/818559 month: '01' oa: 1 oa_version: Preprint page: 208-223 pmid: 1 publication: Journal of Evolutionary Biology publication_identifier: eissn: - '14209101' issn: - 1010061X publication_status: published publisher: Wiley quality_controlled: '1' related_material: record: - id: '13073' relation: research_data status: public scopus_import: '1' status: public title: How do species barriers decay? Concordance and local introgression in mosaic hybrid zones of mussels type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 34 year: '2021' ... --- _id: '8743' abstract: - lang: eng text: 'Montane cloud forests are areas of high endemism, and are one of the more vulnerable terrestrial ecosystems to climate change. Thus, understanding how they both contribute to the generation of biodiversity, and will respond to ongoing climate change, are important and related challenges. The widely accepted model for montane cloud forest dynamics involves upslope forcing of their range limits with global climate warming. However, limited climate data provides some support for an alternative model, where range limits are forced downslope with climate warming. Testing between these two models is challenging, due to the inherent limitations of climate and pollen records. We overcome this with an alternative source of historical information, testing between competing model predictions using genomic data and demographic analyses for a species of beetle tightly associated to an oceanic island cloud forest. Results unequivocally support the alternative model: populations that were isolated at higher elevation peaks during the Last Glacial Maximum are now in contact and hybridizing at lower elevations. Our results suggest that genomic data are a rich source of information to further understand how montane cloud forest biodiversity originates, and how it is likely to be impacted by ongoing climate change.' acknowledgement: 'This work was financed by the Spanish Agencia Estatal de Investigación (CGL2017‐85718‐P), awarded to BCE, and co‐financed by FEDER. It was also supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (EQC2018‐004418‐P), awarded to BCE. AS‐C was funded by the Spanish Ministerio de Ciencia, Innovación y Universidades through an FPU PhD fellowship (FPU014/02948). The authors thank Instituto Tecnológico y de Energías Renovables (ITER), S.A for providing access to the Teide High‐Performance Computing facility (Teide‐HPC). Fieldwork was supported by collecting permit AFF 107/17 (sigma number 2017‐00572) kindly provided by the Cabildo of Tenerife. The authors wish to thank the following for field work and sample sorting and identification: A. J. Pérez‐Delgado, H. López, and C. Andújar. We also thank V. García‐Olivares for assistance with laboratory and bioinformatic work.' article_processing_charge: No article_type: original author: - first_name: Antonia full_name: Salces-Castellano, Antonia last_name: Salces-Castellano - first_name: Sean full_name: Stankowski, Sean id: 43161670-5719-11EA-8025-FABC3DDC885E last_name: Stankowski - first_name: Paula full_name: Arribas, Paula last_name: Arribas - first_name: Jairo full_name: Patino, Jairo last_name: Patino - first_name: 'Dirk N. ' full_name: 'Karger, Dirk N. ' last_name: Karger - first_name: Roger full_name: Butlin, Roger last_name: Butlin - first_name: Brent C. full_name: Emerson, Brent C. last_name: Emerson citation: ama: Salces-Castellano A, Stankowski S, Arribas P, et al. Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. 2021;75(2):231-244. doi:10.1111/evo.14111 apa: Salces-Castellano, A., Stankowski, S., Arribas, P., Patino, J., Karger, D. N., Butlin, R., & Emerson, B. C. (2021). Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. Wiley. https://doi.org/10.1111/evo.14111 chicago: Salces-Castellano, Antonia, Sean Stankowski, Paula Arribas, Jairo Patino, Dirk N. Karger, Roger Butlin, and Brent C. Emerson. “Long-Term Cloud Forest Response to Climate Warming Revealed by Insect Speciation History.” Evolution. Wiley, 2021. https://doi.org/10.1111/evo.14111. ieee: A. Salces-Castellano et al., “Long-term cloud forest response to climate warming revealed by insect speciation history,” Evolution, vol. 75, no. 2. Wiley, pp. 231–244, 2021. ista: Salces-Castellano A, Stankowski S, Arribas P, Patino J, Karger DN, Butlin R, Emerson BC. 2021. Long-term cloud forest response to climate warming revealed by insect speciation history. Evolution. 75(2), 231–244. mla: Salces-Castellano, Antonia, et al. “Long-Term Cloud Forest Response to Climate Warming Revealed by Insect Speciation History.” Evolution, vol. 75, no. 2, Wiley, 2021, pp. 231–44, doi:10.1111/evo.14111. short: A. Salces-Castellano, S. Stankowski, P. Arribas, J. Patino, D.N. Karger, R. Butlin, B.C. Emerson, Evolution 75 (2021) 231–244. date_created: 2020-11-08T23:01:26Z date_published: 2021-02-01T00:00:00Z date_updated: 2023-08-04T11:09:49Z day: '01' department: - _id: NiBa doi: 10.1111/evo.14111 external_id: isi: - '000583190600001' pmid: - '33078844' intvolume: ' 75' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://hdl.handle.net/10261/223937 month: '02' oa: 1 oa_version: Submitted Version page: 231-244 pmid: 1 publication: Evolution publication_identifier: eissn: - 1558-5646 issn: - 0014-3820 publication_status: published publisher: Wiley quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1111/evo.14225 scopus_import: '1' status: public title: Long-term cloud forest response to climate warming revealed by insect speciation history type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 75 year: '2021' ...