--- _id: '1909' abstract: - lang: eng text: 'Summary: Phenotypes are often environmentally dependent, which requires organisms to track environmental change. The challenge for organisms is to construct phenotypes using the most accurate environmental cue. Here, we use a quantitative genetic model of adaptation by additive genetic variance, within- and transgenerational plasticity via linear reaction norms and indirect genetic effects respectively. We show how the relative influence on the eventual phenotype of these components depends on the predictability of environmental change (fast or slow, sinusoidal or stochastic) and the developmental lag τ between when the environment is perceived and when selection acts. We then decompose expected mean fitness into three components (variance load, adaptation and fluctuation load) to study the fitness costs of within- and transgenerational plasticity. A strongly negative maternal effect coefficient m minimizes the variance load, but a strongly positive m minimises the fluctuation load. The adaptation term is maximized closer to zero, with positive or negative m preferred under different environmental scenarios. Phenotypic plasticity is higher when τ is shorter and when the environment changes frequently between seasonal extremes. Expected mean population fitness is highest away from highest observed levels of phenotypic plasticity. Within- and transgenerational plasticity act in concert to deliver well-adapted phenotypes, which emphasizes the need to study both simultaneously when investigating phenotypic evolution.' acknowledgement: 'Engineering and Physical Sciences Research Council. Grant Number: EP/H031928/1' article_processing_charge: No author: - first_name: Thomas full_name: Ezard, Thomas last_name: Ezard - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Rebecca full_name: Hoyle, Rebecca last_name: Hoyle citation: ama: Ezard T, Prizak R, Hoyle R. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 2014;28(3):693-701. doi:10.1111/1365-2435.12207 apa: Ezard, T., Prizak, R., & Hoyle, R. (2014). The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. Wiley-Blackwell. https://doi.org/10.1111/1365-2435.12207 chicago: Ezard, Thomas, Roshan Prizak, and Rebecca Hoyle. “The Fitness Costs of Adaptation via Phenotypic Plasticity and Maternal Effects.” Functional Ecology. Wiley-Blackwell, 2014. https://doi.org/10.1111/1365-2435.12207. ieee: T. Ezard, R. Prizak, and R. Hoyle, “The fitness costs of adaptation via phenotypic plasticity and maternal effects,” Functional Ecology, vol. 28, no. 3. Wiley-Blackwell, pp. 693–701, 2014. ista: Ezard T, Prizak R, Hoyle R. 2014. The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. 28(3), 693–701. mla: Ezard, Thomas, et al. “The Fitness Costs of Adaptation via Phenotypic Plasticity and Maternal Effects.” Functional Ecology, vol. 28, no. 3, Wiley-Blackwell, 2014, pp. 693–701, doi:10.1111/1365-2435.12207. short: T. Ezard, R. Prizak, R. Hoyle, Functional Ecology 28 (2014) 693–701. date_created: 2018-12-11T11:54:40Z date_published: 2014-06-01T00:00:00Z date_updated: 2025-09-29T12:26:34Z day: '01' ddc: - '570' department: - _id: NiBa - _id: GaTk doi: 10.1111/1365-2435.12207 external_id: isi: - '000335954900016' file: - access_level: open_access checksum: 3cbe8623174709a8ceec2103246f8fe0 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:45Z date_updated: 2020-07-14T12:45:20Z file_id: '5167' file_name: IST-2016-419-v1+1_Ezard_et_al-2014-Functional_Ecology.pdf file_size: 536154 relation: main_file file_date_updated: 2020-07-14T12:45:20Z has_accepted_license: '1' intvolume: ' 28' isi: 1 issue: '3' language: - iso: eng month: '06' oa: 1 oa_version: Published Version page: 693 - 701 publication: Functional Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '5186' pubrep_id: '419' scopus_import: '1' status: public title: The fitness costs of adaptation via phenotypic plasticity and maternal effects 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 28 year: '2014' ... --- _id: '1932' abstract: - lang: eng text: The existence of complex (multiple-step) genetic adaptations that are "irreducible" (i.e., all partial combinations are less fit than the original genotype) is one of the longest standing problems in evolutionary biology. In standard genetics parlance, these adaptations require the crossing of a wide adaptive valley of deleterious intermediate stages. Here, we demonstrate, using a simple model, that evolution can cross wide valleys to produce "irreducibly complex" adaptations by making use of previously cryptic mutations. When revealed by an evolutionary capacitor, previously cryptic mutants have higher initial frequencies than do new mutations, bringing them closer to a valley-crossing saddle in allele frequency space. Moreover, simple combinatorics implies an enormous number of candidate combinations exist within available cryptic genetic variation. We model the dynamics of crossing of a wide adaptive valley after a capacitance event using both numerical simulations and analytical approximations. Although individual valley crossing events become less likely as valleys widen, by taking the combinatorics of genotype space into account, we see that revealing cryptic variation can cause the frequent evolution of complex adaptations. acknowledgement: "Funded by National Institutes of Health. Grant Numbers: R01GM076041, R01GM104040 \r\n\r\nSimons Foundation\r\n\r\n" article_processing_charge: No arxiv: 1 author: - first_name: Meredith full_name: Trotter, Meredith last_name: Trotter - first_name: Daniel full_name: Weissman, Daniel id: 2D0CE020-F248-11E8-B48F-1D18A9856A87 last_name: Weissman - first_name: Grant full_name: Peterson, Grant last_name: Peterson - first_name: Kayla full_name: Peck, Kayla last_name: Peck - first_name: Joanna full_name: Masel, Joanna last_name: Masel citation: ama: Trotter M, Weissman D, Peterson G, Peck K, Masel J. Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. 2014;68(12):3357-3367. doi:10.1111/evo.12517 apa: Trotter, M., Weissman, D., Peterson, G., Peck, K., & Masel, J. (2014). Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.12517 chicago: Trotter, Meredith, Daniel Weissman, Grant Peterson, Kayla Peck, and Joanna Masel. “Cryptic Genetic Variation Can Make &quot;Irreducible Complexity&quot; a Common Mode of Adaptation in Sexual Populations.” Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1111/evo.12517. ieee: M. Trotter, D. Weissman, G. Peterson, K. Peck, and J. Masel, “Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations,” Evolution, vol. 68, no. 12. Wiley-Blackwell, pp. 3357–3367, 2014. ista: Trotter M, Weissman D, Peterson G, Peck K, Masel J. 2014. Cryptic genetic variation can make &quot;irreducible complexity&quot; a common mode of adaptation in sexual populations. Evolution. 68(12), 3357–3367. mla: Trotter, Meredith, et al. “Cryptic Genetic Variation Can Make &quot;Irreducible Complexity&quot; a Common Mode of Adaptation in Sexual Populations.” Evolution, vol. 68, no. 12, Wiley-Blackwell, 2014, pp. 3357–67, doi:10.1111/evo.12517. short: M. Trotter, D. Weissman, G. Peterson, K. Peck, J. Masel, Evolution 68 (2014) 3357–3367. date_created: 2018-12-11T11:54:47Z date_published: 2014-12-01T00:00:00Z date_updated: 2025-09-29T12:10:43Z day: '01' department: - _id: NiBa doi: 10.1111/evo.12517 ec_funded: 1 external_id: arxiv: - '1310.6077' isi: - '000346075600001' intvolume: ' 68' isi: 1 issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1310.6077 month: '12' oa: 1 oa_version: Submitted Version page: 3357 - 3367 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '5162' quality_controlled: '1' scopus_import: '1' status: public title: Cryptic genetic variation can make "irreducible complexity" a common mode of adaptation in sexual populations type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 68 year: '2014' ... --- _id: '1936' abstract: - lang: eng text: 'The social intelligence hypothesis states that the need to cope with complexities of social life has driven the evolution of advanced cognitive abilities. It is usually invoked in the context of challenges arising from complex intragroup structures, hierarchies, and alliances. However, a fundamental aspect of group living remains largely unexplored as a driving force in cognitive evolution: the competition between individuals searching for resources (producers) and conspecifics that parasitize their findings (scroungers). In populations of social foragers, abilities that enable scroungers to steal by outsmarting producers, and those allowing producers to prevent theft by outsmarting scroungers, are likely to be beneficial and may fuel a cognitive arms race. Using analytical theory and agent-based simulations, we present a general model for such a race that is driven by the producer-scrounger game and show that the race''s plausibility is dramatically affected by the nature of the evolving abilities. If scrounging and scrounging avoidance rely on separate, strategy-specific cognitive abilities, arms races are short-lived and have a limited effect on cognition. However, general cognitive abilities that facilitate both scrounging and scrounging avoidance undergo stable, long-lasting arms races. Thus, ubiquitous foraging interactions may lead to the evolution of general cognitive abilities in social animals, without the requirement of complex intragroup structures.' article_processing_charge: No author: - first_name: Michal full_name: Arbilly, Michal last_name: Arbilly - first_name: Daniel full_name: Weissman, Daniel id: 2D0CE020-F248-11E8-B48F-1D18A9856A87 last_name: Weissman - first_name: Marcus full_name: Feldman, Marcus last_name: Feldman - first_name: Uri full_name: Grodzinski, Uri last_name: Grodzinski citation: ama: Arbilly M, Weissman D, Feldman M, Grodzinski U. An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. 2014;25(3):487-495. doi:10.1093/beheco/aru002 apa: Arbilly, M., Weissman, D., Feldman, M., & Grodzinski, U. (2014). An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. Oxford University Press. https://doi.org/10.1093/beheco/aru002 chicago: Arbilly, Michal, Daniel Weissman, Marcus Feldman, and Uri Grodzinski. “An Arms Race between Producers and Scroungers Can Drive the Evolution of Social Cognition.” Behavioral Ecology. Oxford University Press, 2014. https://doi.org/10.1093/beheco/aru002. ieee: M. Arbilly, D. Weissman, M. Feldman, and U. Grodzinski, “An arms race between producers and scroungers can drive the evolution of social cognition,” Behavioral Ecology, vol. 25, no. 3. Oxford University Press, pp. 487–495, 2014. ista: Arbilly M, Weissman D, Feldman M, Grodzinski U. 2014. An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. 25(3), 487–495. mla: Arbilly, Michal, et al. “An Arms Race between Producers and Scroungers Can Drive the Evolution of Social Cognition.” Behavioral Ecology, vol. 25, no. 3, Oxford University Press, 2014, pp. 487–95, doi:10.1093/beheco/aru002. short: M. Arbilly, D. Weissman, M. Feldman, U. Grodzinski, Behavioral Ecology 25 (2014) 487–495. date_created: 2018-12-11T11:54:48Z date_published: 2014-02-13T00:00:00Z date_updated: 2025-09-29T12:07:50Z day: '13' department: - _id: NiBa doi: 10.1093/beheco/aru002 ec_funded: 1 external_id: isi: - '000336486100012' intvolume: ' 25' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014306/ month: '02' oa: 1 oa_version: Submitted Version page: 487 - 495 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Behavioral Ecology publication_status: published publisher: Oxford University Press publist_id: '5157' quality_controlled: '1' scopus_import: '1' status: public title: An arms race between producers and scroungers can drive the evolution of social cognition type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 25 year: '2014' ... --- _id: '2168' abstract: - lang: eng text: Many species have an essentially continuous distribution in space, in which there are no natural divisions between randomly mating subpopulations. Yet, the standard approach to modelling these populations is to impose an arbitrary grid of demes, adjusting deme sizes and migration rates in an attempt to capture the important features of the population. Such indirect methods are required because of the failure of the classical models of isolation by distance, which have been shown to have major technical flaws. A recently introduced model of extinction and recolonisation in two dimensions solves these technical problems, and provides a rigorous technical foundation for the study of populations evolving in a spatial continuum. The coalescent process for this model is simply stated, but direct simulation is very inefficient for large neighbourhood sizes. We present efficient and exact algorithms to simulate this coalescent process for arbitrary sample sizes and numbers of loci, and analyse these algorithms in detail. article_processing_charge: No author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - 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: 'Kelleher J, Etheridge A, Barton NH. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 2014;95:13-23. doi:10.1016/j.tpb.2014.05.001' apa: 'Kelleher, J., Etheridge, A., & Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2014.05.001' chicago: 'Kelleher, Jerome, Alison Etheridge, and Nicholas H Barton. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology. Academic Press, 2014. https://doi.org/10.1016/j.tpb.2014.05.001.' ieee: 'J. Kelleher, A. Etheridge, and N. H. Barton, “Coalescent simulation in continuous space: Algorithms for large neighbourhood size,” Theoretical Population Biology, vol. 95. Academic Press, pp. 13–23, 2014.' ista: 'Kelleher J, Etheridge A, Barton NH. 2014. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 95, 13–23.' mla: 'Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology, vol. 95, Academic Press, 2014, pp. 13–23, doi:10.1016/j.tpb.2014.05.001.' short: J. Kelleher, A. Etheridge, N.H. Barton, Theoretical Population Biology 95 (2014) 13–23. date_created: 2018-12-11T11:56:06Z date_published: 2014-08-01T00:00:00Z date_updated: 2025-09-29T11:39:51Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2014.05.001 ec_funded: 1 external_id: isi: - '000339460300002' file: - access_level: open_access checksum: 979d7a8034e9df198f068f0d251f31bd content_type: application/pdf creator: system date_created: 2018-12-12T10:10:49Z date_updated: 2020-07-14T12:45:31Z file_id: '4839' file_name: IST-2015-391-v1+1_1-s2.0-S0040580914000355-main.pdf file_size: 569005 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 95' isi: 1 language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 13 - 23 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_status: published publisher: Academic Press publist_id: '4816' pubrep_id: '391' quality_controlled: '1' scopus_import: '1' status: public title: 'Coalescent simulation in continuous space: Algorithms for large neighbourhood size' 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 95 year: '2014' ... --- _id: '2169' article_processing_charge: No 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: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111 apa: Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1410107111 chicago: Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS. National Academy of Sciences, 2014. https://doi.org/10.1073/pnas.1410107111. ieee: N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences, pp. 10398–10399, 2014. ista: Barton NH, Novak S, Paixao T. 2014. Diverse forms of selection in evolution and computer science. PNAS. 111(29), 10398–10399. mla: Barton, Nicholas H., et al. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS, vol. 111, no. 29, National Academy of Sciences, 2014, pp. 10398–99, doi:10.1073/pnas.1410107111. short: N.H. Barton, S. Novak, T. Paixao, PNAS 111 (2014) 10398–10399. corr_author: '1' date_created: 2018-12-11T11:56:07Z date_published: 2014-07-22T00:00:00Z date_updated: 2025-09-29T11:39:19Z day: '22' department: - _id: NiBa doi: 10.1073/pnas.1410107111 external_id: isi: - '000339310700017' intvolume: ' 111' isi: 1 issue: '29' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115508/ month: '07' oa: 1 oa_version: Submitted Version page: 10398 - 10399 publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '4815' quality_controlled: '1' scopus_import: '1' status: public title: Diverse forms of selection in evolution and computer science type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 111 year: '2014' ... --- _id: '2170' abstract: - lang: eng text: ' Short-read sequencing technologies have in principle made it feasible to draw detailed inferences about the recent history of any organism. In practice, however, this remains challenging due to the difficulty of genome assembly in most organisms and the lack of statistical methods powerful enough to discriminate between recent, nonequilibrium histories. We address both the assembly and inference challenges. We develop a bioinformatic pipeline for generating outgroup-rooted alignments of orthologous sequence blocks from de novo low-coverage short-read data for a small number of genomes, and show how such sequence blocks can be used to fit explicit models of population divergence and admixture in a likelihood framework. To illustrate our approach, we reconstruct the Pleistocene history of an oak-feeding insect (the oak gallwasp Biorhiza pallida), which, in common with many other taxa, was restricted during Pleistocene ice ages to a longitudinal series of southern refugia spanning the Western Palaearctic. Our analysis of sequence blocks sampled from a single genome from each of three major glacial refugia reveals support for an unexpected history dominated by recent admixture. Despite the fact that 80% of the genome is affected by admixture during the last glacial cycle, we are able to infer the deeper divergence history of these populations. These inferences are robust to variation in block length, mutation model and the sampling location of individual genomes within refugia. This combination of de novo assembly and numerical likelihood calculation provides a powerful framework for estimating recent population history that can be applied to any organism without the need for prior genetic resources.' acknowledgement: This work was funded by NERC grants to G Stone, J Nicholls, K Lohse and N Barton (NE/J010499, NBAF375, NE/E014453/1 and NER/B/S2003/00856). article_processing_charge: No author: - first_name: Jack full_name: Hearn, Jack last_name: Hearn - first_name: Graham full_name: Stone, Graham last_name: Stone - first_name: Lynsey full_name: Bunnefeld, Lynsey last_name: Bunnefeld - first_name: James full_name: Nicholls, James last_name: Nicholls - 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: Konrad full_name: Lohse, Konrad last_name: Lohse citation: ama: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. 2014;23(1):198-211. doi:10.1111/mec.12578 apa: Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., & Lohse, K. (2014). Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. Wiley-Blackwell. https://doi.org/10.1111/mec.12578 chicago: Hearn, Jack, Graham Stone, Lynsey Bunnefeld, James Nicholls, Nicholas H Barton, and Konrad Lohse. “Likelihood-Based Inference of Population History from Low-Coverage de Novo Genome Assemblies.” Molecular Ecology. Wiley-Blackwell, 2014. https://doi.org/10.1111/mec.12578. ieee: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N. H. Barton, and K. Lohse, “Likelihood-based inference of population history from low-coverage de novo genome assemblies,” Molecular Ecology, vol. 23, no. 1. Wiley-Blackwell, pp. 198–211, 2014. ista: Hearn J, Stone G, Bunnefeld L, Nicholls J, Barton NH, Lohse K. 2014. Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. 23(1), 198–211. mla: Hearn, Jack, et al. “Likelihood-Based Inference of Population History from Low-Coverage de Novo Genome Assemblies.” Molecular Ecology, vol. 23, no. 1, Wiley-Blackwell, 2014, pp. 198–211, doi:10.1111/mec.12578. short: J. Hearn, G. Stone, L. Bunnefeld, J. Nicholls, N.H. Barton, K. Lohse, Molecular Ecology 23 (2014) 198–211. date_created: 2018-12-11T11:56:07Z date_published: 2014-01-01T00:00:00Z date_updated: 2025-09-29T11:38:51Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1111/mec.12578 external_id: isi: - '000330950900017' file: - access_level: open_access checksum: 4de1ab255976a8ae77eb0e55ad62ecc9 content_type: application/pdf creator: system date_created: 2018-12-12T10:07:52Z date_updated: 2020-07-14T12:45:31Z file_id: '4651' file_name: IST-2016-559-v1+1_Hearn_et_al.pdf file_size: 807444 relation: main_file - access_level: open_access checksum: 01a8073e071c088500425f910b0f1f71 content_type: application/pdf creator: system date_created: 2018-12-12T10:07:53Z date_updated: 2020-07-14T12:45:31Z file_id: '4652' file_name: IST-2016-559-v1+2_Hearn_et_al_Suppl.pdf file_size: 1518088 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 23' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 198 - 211 publication: Molecular Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '4814' pubrep_id: '559' quality_controlled: '1' related_material: record: - id: '9754' relation: research_data status: public scopus_import: '1' status: public title: Likelihood-based inference of population history from low-coverage de novo genome assemblies type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 23 year: '2014' ... --- _id: '2174' abstract: - lang: eng text: 'When polygenic traits are under stabilizing selection, many different combinations of alleles allow close adaptation to the optimum. If alleles have equal effects, all combinations that result in the same deviation from the optimum are equivalent. Furthermore, the genetic variance that is maintained by mutation-selection balance is 2μ/S per locus, where μ is the mutation rate and S the strength of stabilizing selection. In reality, alleles vary in their effects, making the fitness landscape asymmetric and complicating analysis of the equilibria. We show that that the resulting genetic variance depends on the fraction of alleles near fixation, which contribute by 2μ/S, and on the total mutational effects of alleles that are at intermediate frequency. The inpplayfi between stabilizing selection and mutation leads to a sharp transition: alleles with effects smaller than a threshold value of 2 remain polymorphic, whereas those with larger effects are fixed. The genetic load in equilibrium is less than for traits of equal effects, and the fitness equilibria are more similar. We find p the optimum is displaced, alleles with effects close to the threshold value sweep first, and their rate of increase is bounded by Long-term response leads in general to well-adapted traits, unlike the case of equal effects that often end up at a suboptimal fitness peak. However, the particular peaks to which the populations converge are extremely sensitive to the initial states and to the speed of the shift of the optimum trait value.' article_processing_charge: No arxiv: 1 author: - first_name: Harold full_name: De Vladar, Harold last_name: De Vladar - 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: De Vladar H, Barton NH. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 2014;197(2):749-767. doi:10.1534/genetics.113.159111 apa: De Vladar, H., & Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.159111 chicago: De Vladar, Harold, and Nicholas H Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics. Genetics Society of America, 2014. https://doi.org/10.1534/genetics.113.159111. ieee: H. De Vladar and N. H. Barton, “Stability and response of polygenic traits to stabilizing selection and mutation,” Genetics, vol. 197, no. 2. Genetics Society of America, pp. 749–767, 2014. ista: De Vladar H, Barton NH. 2014. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 197(2), 749–767. mla: De Vladar, Harold, and Nicholas H. Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics, vol. 197, no. 2, Genetics Society of America, 2014, pp. 749–67, doi:10.1534/genetics.113.159111. short: H. De Vladar, N.H. Barton, Genetics 197 (2014) 749–767. corr_author: '1' date_created: 2018-12-11T11:56:08Z date_published: 2014-06-01T00:00:00Z date_updated: 2025-09-29T11:37:14Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.113.159111 ec_funded: 1 external_id: arxiv: - '1404.1017' isi: - '000338697000027' intvolume: ' 197' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1404.1017 month: '06' oa: 1 oa_version: Submitted Version page: 749 - 767 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '4809' quality_controlled: '1' scopus_import: '1' status: public title: Stability and response of polygenic traits to stabilizing selection and mutation type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 197 year: '2014' ... --- _id: '2252' abstract: - lang: eng text: The pattern of inheritance and mechanism of sex determination can have important evolutionary consequences. We studied probabilistic sex determination in the ciliate Tetrahymena thermophila, which was previously shown to cause evolution of skewed sex ratios. We find that the genetic background alters the sex determination patterns of mat alleles in heterozygotes and that allelic interaction can differentially influence the expression probability of the 7 sexes. We quantify the dominance relationships between several mat alleles and find that A-type alleles, which specify sex I, are indeed recessive to B-type alleles, which are unable to specify that sex. Our results provide additional support for the presence of modifier loci and raise implications for the dynamics of sex ratios in populations of T. thermophila. article_processing_charge: No author: - first_name: Sujal full_name: Phadke, Sujal last_name: Phadke - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Tuan full_name: Pham, Tuan last_name: Pham - first_name: Stephanie full_name: Pham, Stephanie last_name: Pham - first_name: Rebecca full_name: Zufall, Rebecca last_name: Zufall citation: ama: Phadke S, Paixao T, Pham T, Pham S, Zufall R. Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. 2014;105(1):130-135. doi:10.1093/jhered/est063 apa: Phadke, S., Paixao, T., Pham, T., Pham, S., & Zufall, R. (2014). Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. Oxford University Press. https://doi.org/10.1093/jhered/est063 chicago: Phadke, Sujal, Tiago Paixao, Tuan Pham, Stephanie Pham, and Rebecca Zufall. “Genetic Background Alters Dominance Relationships between Mat Alleles in the Ciliate Tetrahymena Thermophila.” Journal of Heredity. Oxford University Press, 2014. https://doi.org/10.1093/jhered/est063. ieee: S. Phadke, T. Paixao, T. Pham, S. Pham, and R. Zufall, “Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila,” Journal of Heredity, vol. 105, no. 1. Oxford University Press, pp. 130–135, 2014. ista: Phadke S, Paixao T, Pham T, Pham S, Zufall R. 2014. Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. 105(1), 130–135. mla: Phadke, Sujal, et al. “Genetic Background Alters Dominance Relationships between Mat Alleles in the Ciliate Tetrahymena Thermophila.” Journal of Heredity, vol. 105, no. 1, Oxford University Press, 2014, pp. 130–35, doi:10.1093/jhered/est063. short: S. Phadke, T. Paixao, T. Pham, S. Pham, R. Zufall, Journal of Heredity 105 (2014) 130–135. corr_author: '1' date_created: 2018-12-11T11:56:35Z date_published: 2014-01-01T00:00:00Z date_updated: 2025-09-29T11:16:03Z day: '01' department: - _id: NiBa doi: 10.1093/jhered/est063 external_id: isi: - '000328427800013' intvolume: ' 105' isi: 1 issue: '1' language: - iso: eng month: '01' oa_version: None page: 130 - 135 publication: Journal of Heredity publication_identifier: issn: - 0022-1503 publication_status: published publisher: Oxford University Press publist_id: '4695' quality_controlled: '1' scopus_import: '1' status: public title: Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 105 year: '2014' ... --- _id: '537' abstract: - lang: eng text: Transgenerational effects are broader than only parental relationships. Despite mounting evidence that multigenerational effects alter phenotypic and life-history traits, our understanding of how they combine to determine fitness is not well developed because of the added complexity necessary to study them. Here, we derive a quantitative genetic model of adaptation to an extraordinary new environment by an additive genetic component, phenotypic plasticity, maternal and grandmaternal effects. We show how, at equilibrium, negative maternal and negative grandmaternal effects maximize expected population mean fitness. We define negative transgenerational effects as those that have a negative effect on trait expression in the subsequent generation, that is, they slow, or potentially reverse, the expected evolutionary dynamic. When maternal effects are positive, negative grandmaternal effects are preferred. As expected under Mendelian inheritance, the grandmaternal effects have a lower impact on fitness than the maternal effects, but this dual inheritance model predicts a more complex relationship between maternal and grandmaternal effects to constrain phenotypic variance and so maximize expected population mean fitness in the offspring. article_processing_charge: No author: - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Thomas full_name: Ezard, Thomas last_name: Ezard - first_name: Rebecca full_name: Hoyle, Rebecca last_name: Hoyle citation: ama: Prizak R, Ezard T, Hoyle R. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 2014;4(15):3139-3145. doi:10.1002/ece3.1150 apa: Prizak, R., Ezard, T., & Hoyle, R. (2014). Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. Wiley-Blackwell. https://doi.org/10.1002/ece3.1150 chicago: Prizak, Roshan, Thomas Ezard, and Rebecca Hoyle. “Fitness Consequences of Maternal and Grandmaternal Effects.” Ecology and Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1002/ece3.1150. ieee: R. Prizak, T. Ezard, and R. Hoyle, “Fitness consequences of maternal and grandmaternal effects,” Ecology and Evolution, vol. 4, no. 15. Wiley-Blackwell, pp. 3139–3145, 2014. ista: Prizak R, Ezard T, Hoyle R. 2014. Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. 4(15), 3139–3145. mla: Prizak, Roshan, et al. “Fitness Consequences of Maternal and Grandmaternal Effects.” Ecology and Evolution, vol. 4, no. 15, Wiley-Blackwell, 2014, pp. 3139–45, doi:10.1002/ece3.1150. short: R. Prizak, T. Ezard, R. Hoyle, Ecology and Evolution 4 (2014) 3139–3145. date_created: 2018-12-11T11:47:02Z date_published: 2014-07-19T00:00:00Z date_updated: 2025-09-29T13:17:53Z day: '19' ddc: - '530' - '571' department: - _id: NiBa - _id: GaTk doi: 10.1002/ece3.1150 external_id: isi: - '000340575000015' file: - access_level: open_access checksum: e32abf75a248e7a11811fd7f60858769 content_type: application/pdf creator: system date_created: 2018-12-12T10:11:31Z date_updated: 2020-07-14T12:46:38Z file_id: '4886' file_name: IST-2018-934-v1+1_Prizak_et_al-2014-Ecology_and_Evolution.pdf file_size: 621582 relation: main_file file_date_updated: 2020-07-14T12:46:38Z has_accepted_license: '1' intvolume: ' 4' isi: 1 issue: '15' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 3139 - 3145 publication: Ecology and Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '7280' pubrep_id: '934' scopus_import: '1' status: public title: Fitness consequences of maternal and grandmaternal effects 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 4 year: '2014' ... --- _id: '2023' abstract: - lang: eng text: 'Understanding the evolution of dispersal is essential for understanding and predicting the dynamics of natural populations. Two main factors are known to influence dispersal evolution: spatio-temporal variation in the environment and relatedness between individuals. However, the relation between these factors is still poorly understood, and they are usually treated separately. In this article, I present a theoretical framework that contains and connects effects of both environmental variation and relatedness, and reproduces and extends their known features. Spatial habitat variation selects for balanced dispersal strategies, whereby the population is kept at an ideal free distribution. Within this class of dispersal strategies, I explain how increased dispersal is promoted by perturbations to the dispersal type frequencies. An explicit formula shows the magnitude of the selective advantage of increased dispersal in terms of the spatial variability in the frequencies of the different dispersal strategies present. These variances are capable of capturing various sources of stochasticity and hence establish a common scale for their effects on the evolution of dispersal. The results furthermore indicate an alternative approach to identifying effects of relatedness on dispersal evolution.' article_processing_charge: No author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X citation: ama: Novak S. Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. 2014;4(24):4589-4597. doi:10.1002/ece3.1289 apa: Novak, S. (2014). Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. Wiley-Blackwell. https://doi.org/10.1002/ece3.1289 chicago: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency Variances as Driving Forces of Dispersal Evolution.” Ecology and Evolution. Wiley-Blackwell, 2014. https://doi.org/10.1002/ece3.1289. ieee: S. Novak, “Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution,” Ecology and Evolution, vol. 4, no. 24. Wiley-Blackwell, pp. 4589–4597, 2014. ista: Novak S. 2014. Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. 4(24), 4589–4597. mla: Novak, Sebastian. “Habitat Heterogeneities versus Spatial Type Frequency Variances as Driving Forces of Dispersal Evolution.” Ecology and Evolution, vol. 4, no. 24, Wiley-Blackwell, 2014, pp. 4589–97, doi:10.1002/ece3.1289. short: S. Novak, Ecology and Evolution 4 (2014) 4589–4597. corr_author: '1' date_created: 2018-12-11T11:55:16Z date_published: 2014-11-27T00:00:00Z date_updated: 2026-04-09T14:25:34Z day: '27' ddc: - '570' department: - _id: NiBa doi: 10.1002/ece3.1289 ec_funded: 1 external_id: isi: - '000346736200003' file: - access_level: open_access checksum: 9ab43db1b0fede7bfe560ed77e177b76 content_type: application/pdf creator: system date_created: 2018-12-12T10:12:28Z date_updated: 2020-07-14T12:45:25Z file_id: '4946' file_name: IST-2016-462-v1+1_Novak-2014-Ecology_and_Evolution.pdf file_size: 118813 relation: main_file file_date_updated: 2020-07-14T12:45:25Z has_accepted_license: '1' intvolume: ' 4' isi: 1 issue: '24' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 4589 - 4597 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Ecology and Evolution publication_status: published publisher: Wiley-Blackwell publist_id: '5049' pubrep_id: '462' quality_controlled: '1' related_material: record: - id: '1125' relation: dissertation_contains status: public scopus_import: '1' status: public title: Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 4 year: '2014' ... --- _id: '2718' abstract: - lang: eng text: Even though both population and quantitative genetics, and evolutionary computation, deal with the same questions, they have developed largely independently of each other. I review key results from each field, emphasising those that apply independently of the (usually unknown) relation between genotype and phenotype. The infinitesimal model provides a simple framework for predicting the response of complex traits to selection, which in biology has proved remarkably successful. This allows one to choose the schedule of population sizes and selection intensities that will maximise the response to selection, given that the total number of individuals realised, C = ∑t Nt, is constrained. This argument shows that for an additive trait (i.e., determined by the sum of effects of the genes), the optimum population size and the maximum possible response (i.e., the total change in trait mean) are both proportional to √C. 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: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: 'Barton NH, Paixao T. Can quantitative and population genetics help us understand evolutionary computation? In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. ACM; 2013:1573-1580. doi:10.1145/2463372.2463568' apa: 'Barton, N. H., & Paixao, T. (2013). Can quantitative and population genetics help us understand evolutionary computation? In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 1573–1580). Amsterdam, Netherlands: ACM. https://doi.org/10.1145/2463372.2463568' chicago: Barton, Nicholas H, and Tiago Paixao. “Can Quantitative and Population Genetics Help Us Understand Evolutionary Computation?” In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, 1573–80. ACM, 2013. https://doi.org/10.1145/2463372.2463568. ieee: N. H. Barton and T. Paixao, “Can quantitative and population genetics help us understand evolutionary computation?,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 1573–1580. ista: 'Barton NH, Paixao T. 2013. Can quantitative and population genetics help us understand evolutionary computation? Proceedings of the 15th annual conference on Genetic and evolutionary computation. GECCO: Genetic and evolutionary computation conference, 1573–1580.' mla: Barton, Nicholas H., and Tiago Paixao. “Can Quantitative and Population Genetics Help Us Understand Evolutionary Computation?” Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–80, doi:10.1145/2463372.2463568. short: N.H. Barton, T. Paixao, in:, Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–1580. conference: end_date: 2013-07-10 location: Amsterdam, Netherlands name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2013-07-06 corr_author: '1' date_created: 2018-12-11T11:59:14Z date_published: 2013-07-01T00:00:00Z date_updated: 2024-10-09T20:55:12Z day: '01' ddc: - '570' department: - _id: NiBa - _id: CaGu doi: 10.1145/2463372.2463568 ec_funded: 1 file: - access_level: open_access checksum: 9d9be9090ce5c20766e0eb076ace5b98 content_type: application/pdf creator: system date_created: 2018-12-12T10:15:38Z date_updated: 2020-07-14T12:45:45Z file_id: '5159' file_name: IST-2016-564-v1+1_NickGECCO_2013_1_-1.pdf file_size: 475844 relation: main_file file_date_updated: 2020-07-14T12:45:45Z has_accepted_license: '1' language: - iso: eng month: '07' oa: 1 oa_version: Submitted Version page: 1573 - 1580 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Proceedings of the 15th annual conference on Genetic and evolutionary computation publication_status: published publisher: ACM publist_id: '4174' pubrep_id: '564' quality_controlled: '1' scopus_import: 1 status: public title: Can quantitative and population genetics help us understand evolutionary computation? type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2719' abstract: - lang: eng text: Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary biology and evolutionary computation (EC). It has long been realized that heritable variation is crucial to both the response to selection and the success of genetic algorithms. However, not all variation contributes in the same way to the response. Quantitative genetics has developed a large body of work trying to estimate and understand how different components of the variance in fitness in the population contribute to the response to selection. We illustrate how to apply some concepts of quantitative genetics to the analysis of genetic algorithms. In particular, we derive estimates for the short term prediction of the response to selection and we use variance decomposition to gain insight on local aspects of the landscape. Finally, we propose a new population based genetic algorithm that uses these methods to improve its operation. author: - 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 citation: ama: 'Paixao T, Barton NH. A variance decomposition approach to the analysis of genetic algorithms. In: Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation. ACM; 2013:845-852. doi:10.1145/2463372.2463470' apa: 'Paixao, T., & Barton, N. H. (2013). A variance decomposition approach to the analysis of genetic algorithms. In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 845–852). Amsterdam, Netherlands: ACM. https://doi.org/10.1145/2463372.2463470' chicago: Paixao, Tiago, and Nicholas H Barton. “A Variance Decomposition Approach to the Analysis of Genetic Algorithms.” In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, 845–52. ACM, 2013. https://doi.org/10.1145/2463372.2463470. ieee: T. Paixao and N. H. Barton, “A variance decomposition approach to the analysis of genetic algorithms,” in Proceedings of the 15th annual conference on Genetic and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 845–852. ista: 'Paixao T, Barton NH. 2013. A variance decomposition approach to the analysis of genetic algorithms. Proceedings of the 15th annual conference on Genetic and evolutionary computation. GECCO: Genetic and evolutionary computation conference, 845–852.' mla: Paixao, Tiago, and Nicholas H. Barton. “A Variance Decomposition Approach to the Analysis of Genetic Algorithms.” Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 845–52, doi:10.1145/2463372.2463470. short: T. Paixao, N.H. Barton, in:, Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 845–852. conference: end_date: 2013-07-10 location: Amsterdam, Netherlands name: 'GECCO: Genetic and evolutionary computation conference' start_date: 2013-07-06 corr_author: '1' date_created: 2018-12-11T11:59:15Z date_published: 2013-07-01T00:00:00Z date_updated: 2024-10-09T20:55:12Z day: '01' department: - _id: NiBa - _id: CaGu doi: 10.1145/2463372.2463470 ec_funded: 1 language: - iso: eng month: '07' oa_version: None page: 845 - 852 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Proceedings of the 15th annual conference on Genetic and evolutionary computation publication_status: published publisher: ACM publist_id: '4173' quality_controlled: '1' scopus_import: 1 status: public title: A variance decomposition approach to the analysis of genetic algorithms type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2720' abstract: - lang: eng text: 'Knowledge of the rate and fitness effects of mutations is essential for understanding the process of evolution. Mutations are inherently difficult to study because they are rare and are frequently eliminated by natural selection. In the ciliate Tetrahymena thermophila, mutations can accumulate in the germline genome without being exposed to selection. We have conducted a mutation accumulation (MA) experiment in this species. Assuming that all mutations are deleterious and have the same effect, we estimate that the deleterious mutation rate per haploid germline genome per generation is U = 0.0047 (95% credible interval: 0.0015, 0.0125), and that germline mutations decrease fitness by s = 11% when expressed in a homozygous state (95% CI: 4.4%, 27%). We also estimate that deleterious mutations are partially recessive on average (h = 0.26; 95% CI: –0.022, 0.62) and that the rate of lethal mutations is <10% of the deleterious mutation rate. Comparisons between the observed evolutionary responses in the germline and somatic genomes and the results from individual-based simulations of MA suggest that the two genomes have similar mutational parameters. These are the first estimates of the deleterious mutation rate and fitness effects from the eukaryotic supergroup Chromalveolata and are within the range of those of other eukaryotes.' article_processing_charge: No author: - first_name: Hongan full_name: Long, Hongan last_name: Long - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 - first_name: Ricardo full_name: Azevedo, Ricardo last_name: Azevedo - first_name: Rebecca full_name: Zufall, Rebecca last_name: Zufall citation: ama: Long H, Paixao T, Azevedo R, Zufall R. Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. 2013;195(2):527-540. doi:10.1534/genetics.113.153536 apa: Long, H., Paixao, T., Azevedo, R., & Zufall, R. (2013). Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.153536 chicago: Long, Hongan, Tiago Paixao, Ricardo Azevedo, and Rebecca Zufall. “Accumulation of Spontaneous Mutations in the Ciliate Tetrahymena Thermophila.” Genetics. Genetics Society of America, 2013. https://doi.org/10.1534/genetics.113.153536. ieee: H. Long, T. Paixao, R. Azevedo, and R. Zufall, “Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila,” Genetics, vol. 195, no. 2. Genetics Society of America, pp. 527–540, 2013. ista: Long H, Paixao T, Azevedo R, Zufall R. 2013. Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. 195(2), 527–540. mla: Long, Hongan, et al. “Accumulation of Spontaneous Mutations in the Ciliate Tetrahymena Thermophila.” Genetics, vol. 195, no. 2, Genetics Society of America, 2013, pp. 527–40, doi:10.1534/genetics.113.153536. short: H. Long, T. Paixao, R. Azevedo, R. Zufall, Genetics 195 (2013) 527–540. date_created: 2018-12-11T11:59:15Z date_published: 2013-10-01T00:00:00Z date_updated: 2025-09-29T14:08:19Z day: '01' department: - _id: NiBa - _id: CaGu doi: 10.1534/genetics.113.153536 ec_funded: 1 external_id: isi: - '000325286200020' pmid: - '23934880' intvolume: ' 195' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781978/ month: '10' oa: 1 oa_version: Submitted Version page: 527-540 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: Genetics publication_status: published publisher: Genetics Society of America publist_id: '4172' quality_controlled: '1' scopus_import: '1' status: public title: Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 195 year: '2013' ... --- _id: '2817' abstract: - lang: eng text: The basic idea of evolutionary game theory is that payoff determines reproductive rate. Successful individuals have a higher payoff and produce more offspring. But in evolutionary and ecological situations there is not only reproductive rate but also carrying capacity. Individuals may differ in their exposure to density limiting effects. Here we explore an alternative approach to evolutionary game theory by assuming that the payoff from the game determines the carrying capacity of individual phenotypes. Successful strategies are less affected by density limitation (crowding) and reach higher equilibrium abundance. We demonstrate similarities and differences between our framework and the standard replicator equation. Our equation is defined on the positive orthant, instead of the simplex, but has the same equilibrium points as the replicator equation. Linear stability analysis produces the classical conditions for asymptotic stability of pure strategies, but the stability properties of internal equilibria can differ in the two frameworks. For example, in a two-strategy game with an internal equilibrium that is always stable under the replicator equation, the corresponding equilibrium can be unstable in the new framework resulting in a limit cycle. article_processing_charge: No author: - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak orcid: 0000-0002-2519-824X - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin full_name: Nowak, Martin last_name: Nowak citation: ama: Novak S, Chatterjee K, Nowak M. Density games. Journal of Theoretical Biology. 2013;334:26-34. doi:10.1016/j.jtbi.2013.05.029 apa: Novak, S., Chatterjee, K., & Nowak, M. (2013). Density games. Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2013.05.029 chicago: Novak, Sebastian, Krishnendu Chatterjee, and Martin Nowak. “Density Games.” Journal of Theoretical Biology. Elsevier, 2013. https://doi.org/10.1016/j.jtbi.2013.05.029. ieee: S. Novak, K. Chatterjee, and M. Nowak, “Density games,” Journal of Theoretical Biology, vol. 334. Elsevier, pp. 26–34, 2013. ista: Novak S, Chatterjee K, Nowak M. 2013. Density games. Journal of Theoretical Biology. 334, 26–34. mla: Novak, Sebastian, et al. “Density Games.” Journal of Theoretical Biology, vol. 334, Elsevier, 2013, pp. 26–34, doi:10.1016/j.jtbi.2013.05.029. short: S. Novak, K. Chatterjee, M. Nowak, Journal of Theoretical Biology 334 (2013) 26–34. corr_author: '1' date_created: 2018-12-11T11:59:45Z date_published: 2013-10-07T00:00:00Z date_updated: 2025-09-29T13:59:11Z day: '07' ddc: - '000' department: - _id: NiBa - _id: KrCh doi: 10.1016/j.jtbi.2013.05.029 ec_funded: 1 external_id: isi: - '000323629500003' file: - access_level: open_access checksum: 3c29059ab03a4b8f97a07646b817ddbb content_type: application/pdf creator: system date_created: 2018-12-12T10:14:54Z date_updated: 2020-07-14T12:45:49Z file_id: '5110' file_name: IST-2016-400-v1+1_1-s2.0-S0022519313002609-main.pdf file_size: 834604 relation: main_file file_date_updated: 2020-07-14T12:45:49Z has_accepted_license: '1' intvolume: ' 334' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 26 - 34 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 25863FF4-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S11407 name: Game Theory - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 2587B514-B435-11E9-9278-68D0E5697425 name: Microsoft Research Faculty Fellowship publication: Journal of Theoretical Biology publication_status: published publisher: Elsevier publist_id: '3984' pubrep_id: '400' quality_controlled: '1' scopus_import: '1' status: public title: Density games 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 334 year: '2013' ... --- _id: '2823' abstract: - lang: eng text: The primary goal of restoration is to create self-sustaining ecological communities that are resilient to periodic disturbance. Currently, little is known about how restored communities respond to disturbance events such as fire and how this response compares to remnant vegetation. Following the 2003 fires in south-eastern Australia we examined the post-fire response of revegetation plantings and compared this to remnant vegetation. Ten burnt and 10 unburnt (control) sites were assessed for each of three types of vegetation (direct seeding revegetation, revegetation using nursery seedlings (tubestock) and remnant woodland). Sixty sampling sites were surveyed 6months after fire to quantify the initial survival of mid- and overstorey plant species in each type of vegetation. Three and 5years after fire all sites were resurveyed to assess vegetation structure, species diversity and vigour, as well as indicators of soil function. Overall, revegetation showed high (>60%) post-fire survival, but this varied among species depending on regeneration strategy (obligate seeder or resprouter). The native ground cover, mid- and overstorey in both types of plantings showed rapid recovery of vegetation structure and cover within 3years of fire. This recovery was similar to the burnt remnant woodlands. Non-native (exotic) ground cover initially increased after fire, but was no different in burnt and unburnt sites 5years after fire. Fire had no effect on species richness, but burnt direct seeding sites had reduced species diversity (Simpson's Diversity Index) while diversity was higher in burnt remnant woodlands. Indices of soil function in all types of vegetation had recovered to levels found in unburnt sites 5years after fire. These results indicate that even young revegetation (stands <10years old) showed substantial recovery from disturbance by fire. This suggests that revegetation can provide an important basis for restoring woodland communities in the fire-prone Australian environment. article_processing_charge: No author: - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Susie full_name: Wilson, Susie last_name: Wilson - first_name: David full_name: Freudenberger, David last_name: Freudenberger - first_name: Nick full_name: Nicholls, Nick last_name: Nicholls - first_name: Lori full_name: Gould, Lori last_name: Gould - first_name: Sarah full_name: Hnatiuk, Sarah last_name: Hnatiuk - first_name: Jeni full_name: Delandre, Jeni last_name: Delandre citation: ama: Pickup M, Wilson S, Freudenberger D, et al. Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. 2013;38(3):300-312. doi:10.1111/j.1442-9993.2012.02404.x apa: Pickup, M., Wilson, S., Freudenberger, D., Nicholls, N., Gould, L., Hnatiuk, S., & Delandre, J. (2013). Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. Wiley-Blackwell. https://doi.org/10.1111/j.1442-9993.2012.02404.x chicago: Pickup, Melinda, Susie Wilson, David Freudenberger, Nick Nicholls, Lori Gould, Sarah Hnatiuk, and Jeni Delandre. “Post-Fire Recovery of Revegetated Woodland Communities in South-Eastern Australia.” Austral Ecology. Wiley-Blackwell, 2013. https://doi.org/10.1111/j.1442-9993.2012.02404.x. ieee: M. Pickup et al., “Post-fire recovery of revegetated woodland communities in south-eastern Australia,” Austral Ecology, vol. 38, no. 3. Wiley-Blackwell, pp. 300–312, 2013. ista: Pickup M, Wilson S, Freudenberger D, Nicholls N, Gould L, Hnatiuk S, Delandre J. 2013. Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. 38(3), 300–312. mla: Pickup, Melinda, et al. “Post-Fire Recovery of Revegetated Woodland Communities in South-Eastern Australia.” Austral Ecology, vol. 38, no. 3, Wiley-Blackwell, 2013, pp. 300–12, doi:10.1111/j.1442-9993.2012.02404.x. short: M. Pickup, S. Wilson, D. Freudenberger, N. Nicholls, L. Gould, S. Hnatiuk, J. Delandre, Austral Ecology 38 (2013) 300–312. date_created: 2018-12-11T11:59:47Z date_published: 2013-05-01T00:00:00Z date_updated: 2025-09-29T13:56:47Z day: '01' department: - _id: NiBa doi: 10.1111/j.1442-9993.2012.02404.x external_id: isi: - '000318188200007' intvolume: ' 38' isi: 1 issue: '3' language: - iso: eng month: '05' oa_version: None page: 300 - 312 publication: Austral Ecology publication_status: published publisher: Wiley-Blackwell publist_id: '3978' quality_controlled: '1' scopus_import: '1' status: public title: Post-fire recovery of revegetated woodland communities in south-eastern Australia type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 38 year: '2013' ... --- _id: '2842' abstract: - lang: eng text: 'We outline two approaches to inference of neighbourhood size, N, and dispersal rate, σ2, based on either allele frequencies or on the lengths of sequence blocks that are shared between genomes. Over intermediate timescales (10-100 generations, say), populations that live in two dimensions approach a quasi-equilibrium that is independent of both their local structure and their deeper history. Over such scales, the standardised covariance of allele frequencies (i.e. pairwise FS T) falls with the logarithm of distance, and depends only on neighbourhood size, N, and a ''local scale'', κ; the rate of gene flow, σ2, cannot be inferred. We show how spatial correlations can be accounted for, assuming a Gaussian distribution of allele frequencies, giving maximum likelihood estimates of N and κ. Alternatively, inferences can be based on the distribution of the lengths of sequence that are identical between blocks of genomes: long blocks (>0.1 cM, say) tell us about intermediate timescales, over which we assume a quasi-equilibrium. For large neighbourhood size, the distribution of long blocks is given directly by the classical Wright-Malécot formula; this relationship can be used to infer both N and σ2. With small neighbourhood size, there is an appreciable chance that recombinant lineages will coalesce back before escaping into the distant past. For this case, we show that if genomes are sampled from some distance apart, then the distribution of lengths of blocks that are identical in state is geometric, with a mean that depends on N and σ2.' article_processing_charge: No 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: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Amandine full_name: Véber, Amandine last_name: Véber citation: ama: 'Barton NH, Etheridge A, Kelleher J, Véber A. Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. 2013;87(1):105-119. doi:10.1016/j.tpb.2013.03.001' apa: 'Barton, N. H., Etheridge, A., Kelleher, J., & Véber, A. (2013). Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. Elsevier. https://doi.org/10.1016/j.tpb.2013.03.001' chicago: 'Barton, Nicholas H, Alison Etheridge, Jerome Kelleher, and Amandine Véber. “Inference in Two Dimensions: Allele Frequencies versus Lengths of Shared Sequence Blocks.” Theoretical Population Biology. Elsevier, 2013. https://doi.org/10.1016/j.tpb.2013.03.001.' ieee: 'N. H. Barton, A. Etheridge, J. Kelleher, and A. Véber, “Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks,” Theoretical Population Biology, vol. 87, no. 1. Elsevier, pp. 105–119, 2013.' ista: 'Barton NH, Etheridge A, Kelleher J, Véber A. 2013. Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. 87(1), 105–119.' mla: 'Barton, Nicholas H., et al. “Inference in Two Dimensions: Allele Frequencies versus Lengths of Shared Sequence Blocks.” Theoretical Population Biology, vol. 87, no. 1, Elsevier, 2013, pp. 105–19, doi:10.1016/j.tpb.2013.03.001.' short: N.H. Barton, A. Etheridge, J. Kelleher, A. Véber, Theoretical Population Biology 87 (2013) 105–119. date_created: 2018-12-11T11:59:53Z date_published: 2013-08-01T00:00:00Z date_updated: 2025-09-29T13:44:19Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2013.03.001 ec_funded: 1 external_id: isi: - '000322688800010' file: - access_level: open_access checksum: 9bf9d9a6fd03dd9df50906891f393bf8 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:33Z date_updated: 2020-07-14T12:45:50Z file_id: '5288' file_name: IST-2016-558-v1+1_inference_revised3101NB.pdf file_size: 1554712 relation: main_file - access_level: open_access checksum: 2bceddb76edacd0cd5fad73051e2a928 content_type: application/pdf creator: system date_created: 2018-12-12T10:17:34Z date_updated: 2020-07-14T12:45:50Z file_id: '5289' file_name: IST-2016-558-v1+2_inference_revised3101NBApp.pdf file_size: 822964 relation: main_file file_date_updated: 2020-07-14T12:45:50Z has_accepted_license: '1' intvolume: ' 87' isi: 1 issue: '1' language: - iso: eng month: '08' oa: 1 oa_version: Submitted Version page: 105 - 119 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_status: published publisher: Elsevier publist_id: '3953' pubrep_id: '558' quality_controlled: '1' scopus_import: '1' status: public title: 'Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 87 year: '2013' ... --- _id: '2907' abstract: - lang: eng text: 'Sex and recombination are among the most striking features of the living world, and they play a crucial role in allowing the evolution of complex adaptation. The sharing of genomes through the sexual union of different individuals requires elaborate behavioral and physiological adaptations. At the molecular level, the alignment of two DNA double helices, followed by their precise cutting and rejoining, is an extraordinary feat. Sex and recombination have diverse—and often surprising—evolutionary consequences: distinct sexes, elaborate mating displays, selfish genetic elements, and so on.' author: - 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: 'Barton NH. Recombination and sex. In: The Princeton Guide to Evolution. Princeton University Press; 2013:328-333.' apa: Barton, N. H. (2013). Recombination and sex. In The Princeton Guide to Evolution (pp. 328–333). Princeton University Press. chicago: Barton, Nicholas H. “Recombination and Sex.” In The Princeton Guide to Evolution, 328–33. Princeton University Press, 2013. ieee: N. H. Barton, “Recombination and sex,” in The Princeton Guide to Evolution, Princeton University Press, 2013, pp. 328–333. ista: 'Barton NH. 2013.Recombination and sex. In: The Princeton Guide to Evolution. , 328–333.' mla: Barton, Nicholas H. “Recombination and Sex.” The Princeton Guide to Evolution, Princeton University Press, 2013, pp. 328–33. short: N.H. Barton, in:, The Princeton Guide to Evolution, Princeton University Press, 2013, pp. 328–333. corr_author: '1' date_created: 2018-12-11T12:00:16Z date_published: 2013-11-04T00:00:00Z date_updated: 2024-10-09T20:55:04Z day: '04' ddc: - '576' department: - _id: NiBa file: - access_level: open_access checksum: 8332ca9cb40f7e66d1006b175ce36b60 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: system date_created: 2018-12-12T10:16:47Z date_updated: 2020-07-14T12:45:52Z file_id: '5237' file_name: IST-2013-119-v1+1_IV.4_Recombination_and_Sex_Barton_1-13-13-e.docx file_size: 79838 relation: main_file - access_level: open_access checksum: 849f418620fb78d6ba23bb4f488ee93f content_type: application/pdf creator: system date_created: 2018-12-12T10:16:48Z date_updated: 2020-07-14T12:45:52Z file_id: '5238' file_name: IST-2017-119-v1+2_Barton_Recombination_Sex.pdf file_size: 144131 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' language: - iso: eng month: '11' oa: 1 oa_version: Submitted Version page: 328 - 333 publication: The Princeton Guide to Evolution publication_identifier: isbn: - '9780691149776' publication_status: published publisher: Princeton University Press publist_id: '3839' pubrep_id: '119' quality_controlled: '1' status: public title: Recombination and sex type: book_chapter user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2013' ... --- _id: '2908' abstract: - lang: eng text: 'Hybridization is an almost inevitable component of speciation, and its study can tell us much about that process. However, hybridization itself may have a negligible influence on the origin of species: on the one hand, universally favoured alleles spread readily across hybrid zones, whilst on the other, spatially heterogeneous selection causes divergence despite gene flow. Thus, narrow hybrid zones or occasional hybridisation may hardly affect the process of divergence.' article_processing_charge: No author: - 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: Barton NH. Does hybridisation influence speciation?  . Journal of Evolutionary Biology. 2013;26(2):267-269. doi:10.1111/jeb.12015 apa: Barton, N. H. (2013). Does hybridisation influence speciation?  . Journal of Evolutionary Biology. Wiley-Blackwell. https://doi.org/10.1111/jeb.12015 chicago: Barton, Nicholas H. “Does Hybridisation Influence Speciation?  .” Journal of Evolutionary Biology. Wiley-Blackwell, 2013. https://doi.org/10.1111/jeb.12015. ieee: N. H. Barton, “Does hybridisation influence speciation?  ,” Journal of Evolutionary Biology, vol. 26, no. 2. Wiley-Blackwell, pp. 267–269, 2013. ista: Barton NH. 2013. Does hybridisation influence speciation?  . Journal of Evolutionary Biology. 26(2), 267–269. mla: Barton, Nicholas H. “Does Hybridisation Influence Speciation?  .” Journal of Evolutionary Biology, vol. 26, no. 2, Wiley-Blackwell, 2013, pp. 267–69, doi:10.1111/jeb.12015. short: N.H. Barton, Journal of Evolutionary Biology 26 (2013) 267–269. corr_author: '1' date_created: 2018-12-11T12:00:17Z date_published: 2013-01-17T00:00:00Z date_updated: 2025-09-29T13:31:43Z day: '17' ddc: - '576' department: - _id: NiBa doi: 10.1111/jeb.12015 external_id: isi: - '000313747600007' file: - access_level: open_access checksum: 716e88714c3411cd0bd70928b14ea692 content_type: text/rtf creator: system date_created: 2018-12-12T10:09:38Z date_updated: 2020-07-14T12:45:52Z file_id: '4762' file_name: IST-2013-111-v1+1_Hybridisation_and_speciation_revised.rtf file_size: 13339 relation: main_file - access_level: open_access checksum: 957fd07c71c1b1eac2c65ae3311aca78 content_type: application/pdf creator: system date_created: 2018-12-12T10:09:39Z date_updated: 2020-07-14T12:45:52Z file_id: '4763' file_name: IST-2017-111-v1+2_Hybridisation_and_speciation_revised.pdf file_size: 103437 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' intvolume: ' 26' isi: 1 issue: '2' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version page: 267 - 269 publication: Journal of Evolutionary Biology publication_status: published publisher: Wiley-Blackwell publist_id: '3835' pubrep_id: '111' quality_controlled: '1' scopus_import: '1' status: public title: 'Does hybridisation influence speciation? ' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 26 year: '2013' ... --- _id: '2909' abstract: - lang: eng text: "We survey a class of models for spatially structured populations\r\nwhich we have called spatial Λ-Fleming–Viot processes. They arise from a flexible\r\nframework for modelling in which the key innovation is that random genetic drift\r\nis driven by a Poisson point process of spatial ‘events’. We demonstrate how this\r\novercomes some of the obstructions to modelling populations which evolve in two-\r\n(and higher-) dimensional spatial continua, how its predictions match phenomena\r\nobserved in data and how it fits with classical models. Finally we outline some\r\ndirections for future research." article_processing_charge: No 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: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Amandine full_name: Véber, Amandine last_name: Véber citation: ama: Barton NH, Etheridge A, Véber A. Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. 2013;2013(1). doi:10.1088/1742-5468/2013/01/P01002 apa: Barton, N. H., Etheridge, A., & Véber, A. (2013). Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. IOP Publishing. https://doi.org/10.1088/1742-5468/2013/01/P01002 chicago: Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “Modelling Evolution in a Spatial Continuum.” Journal of Statistical Mechanics Theory and Experiment. IOP Publishing, 2013. https://doi.org/10.1088/1742-5468/2013/01/P01002. ieee: N. H. Barton, A. Etheridge, and A. Véber, “Modelling evolution in a spatial continuum,” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 1. IOP Publishing, 2013. ista: Barton NH, Etheridge A, Véber A. 2013. Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. 2013(1). mla: Barton, Nicholas H., et al. “Modelling Evolution in a Spatial Continuum.” Journal of Statistical Mechanics Theory and Experiment, vol. 2013, no. 1, IOP Publishing, 2013, doi:10.1088/1742-5468/2013/01/P01002. short: N.H. Barton, A. Etheridge, A. Véber, Journal of Statistical Mechanics Theory and Experiment 2013 (2013). corr_author: '1' date_created: 2018-12-11T12:00:17Z date_published: 2013-01-16T00:00:00Z date_updated: 2025-09-29T13:31:08Z day: '16' ddc: - '570' department: - _id: NiBa doi: 10.1088/1742-5468/2013/01/P01002 ec_funded: 1 external_id: isi: - '000315410500003' file: - access_level: open_access checksum: ce8a4424385b3086138a1e054e16e0e3 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:52Z date_updated: 2020-07-14T12:45:52Z file_id: '5242' file_name: IST-2016-557-v1+1_BEVrevised.pdf file_size: 702583 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' intvolume: ' 2013' isi: 1 issue: '1' language: - iso: eng month: '01' oa: 1 oa_version: Submitted Version project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Journal of Statistical Mechanics Theory and Experiment publication_status: published publisher: IOP Publishing publist_id: '3834' pubrep_id: '557' quality_controlled: '1' scopus_import: '1' status: public title: Modelling evolution in a spatial continuum type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 2013 year: '2013' ... --- _id: '2910' abstract: - lang: eng text: "Coalescent simulation has become an indispensable tool in population genetics and many complex evolutionary scenarios have been incorporated into the basic algorithm. Despite many years of intense interest in spatial structure, however, there are no available methods to simulate the ancestry of a sample of genes that occupy a spatial continuum. This is mainly due to the severe technical problems encountered by the classical model of isolation\r\nby distance. A recently introduced model solves these technical problems and provides a solid theoretical basis for the study of populations evolving in continuous space. We present a detailed algorithm to simulate the coalescent process in this model, and provide an efficient implementation of a generalised version of this algorithm as a freely available Python module." article_processing_charge: No author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - 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: Alison full_name: Etheridge, Alison last_name: Etheridge citation: ama: Kelleher J, Barton NH, Etheridge A. Coalescent simulation in continuous space. Bioinformatics. 2013;29(7):955-956. doi:10.1093/bioinformatics/btt067 apa: Kelleher, J., Barton, N. H., & Etheridge, A. (2013). Coalescent simulation in continuous space. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btt067 chicago: Kelleher, Jerome, Nicholas H Barton, and Alison Etheridge. “Coalescent Simulation in Continuous Space.” Bioinformatics. Oxford University Press, 2013. https://doi.org/10.1093/bioinformatics/btt067. ieee: J. Kelleher, N. H. Barton, and A. Etheridge, “Coalescent simulation in continuous space,” Bioinformatics, vol. 29, no. 7. Oxford University Press, pp. 955–956, 2013. ista: Kelleher J, Barton NH, Etheridge A. 2013. Coalescent simulation in continuous space. Bioinformatics. 29(7), 955–956. mla: Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space.” Bioinformatics, vol. 29, no. 7, Oxford University Press, 2013, pp. 955–56, doi:10.1093/bioinformatics/btt067. short: J. Kelleher, N.H. Barton, A. Etheridge, Bioinformatics 29 (2013) 955–956. corr_author: '1' date_created: 2018-12-11T12:00:17Z date_published: 2013-02-07T00:00:00Z date_updated: 2025-09-29T13:30:36Z day: '07' ddc: - '570' department: - _id: NiBa doi: 10.1093/bioinformatics/btt067 ec_funded: 1 external_id: isi: - '000316695700020' file: - access_level: open_access checksum: a3b54d7477fac923815ac082403d9bd0 content_type: application/pdf creator: system date_created: 2018-12-12T10:16:04Z date_updated: 2020-07-14T12:45:52Z file_id: '5189' file_name: IST-2016-556-v1+1_bioinformatics-2013.pdf file_size: 170197 relation: main_file file_date_updated: 2020-07-14T12:45:52Z has_accepted_license: '1' intvolume: ' 29' isi: 1 issue: '7' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 955 - 956 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Bioinformatics publication_status: published publisher: Oxford University Press publist_id: '3833' pubrep_id: '556' quality_controlled: '1' scopus_import: '1' status: public title: Coalescent simulation in continuous space type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 29 year: '2013' ...