--- _id: '6858' article_processing_charge: No article_type: review 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. Is speciation driven by cycles of mixing and isolation? National Science Review. 2019;6(2):291-292. doi:10.1093/nsr/nwy113 apa: Barton, N. H. (2019). Is speciation driven by cycles of mixing and isolation? National Science Review. Oxford University Press. https://doi.org/10.1093/nsr/nwy113 chicago: Barton, Nicholas H. “Is Speciation Driven by Cycles of Mixing and Isolation?” National Science Review. Oxford University Press, 2019. https://doi.org/10.1093/nsr/nwy113. ieee: N. H. Barton, “Is speciation driven by cycles of mixing and isolation?,” National Science Review, vol. 6, no. 2. Oxford University Press, pp. 291–292, 2019. ista: Barton NH. 2019. Is speciation driven by cycles of mixing and isolation? National Science Review. 6(2), 291–292. mla: Barton, Nicholas H. “Is Speciation Driven by Cycles of Mixing and Isolation?” National Science Review, vol. 6, no. 2, Oxford University Press, 2019, pp. 291–92, doi:10.1093/nsr/nwy113. short: N.H. Barton, National Science Review 6 (2019) 291–292. date_created: 2019-09-07T14:43:02Z date_published: 2019-03-01T00:00:00Z date_updated: 2023-08-29T07:51:09Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1093/nsr/nwy113 external_id: isi: - '000467957400025' file: - access_level: open_access checksum: 571d60fa21a568607d1fd04e119da88c content_type: application/pdf creator: dernst date_created: 2020-10-02T09:16:44Z date_updated: 2020-10-02T09:16:44Z file_id: '8595' file_name: 2019_NSR_Barton.pdf file_size: 106463 relation: main_file success: 1 file_date_updated: 2020-10-02T09:16:44Z has_accepted_license: '1' intvolume: ' 6' isi: 1 issue: '2' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 291-292 publication: National Science Review publication_identifier: eissn: - 2053-714X issn: - 2095-5138 publication_status: published publisher: Oxford University Press quality_controlled: '1' scopus_import: '1' status: public title: Is speciation driven by cycles of mixing and 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: 6 year: '2019' ... --- _id: '6857' abstract: - lang: eng text: "Gene Drives are regarded as future tools with a high potential for population control. Due to their inherent ability to overcome the rules of Mendelian inheritance, gene drives (GD) may spread genes rapidly through populations of sexually reproducing organisms. A release of organisms carrying a GD would constitute a paradigm shift in the handling of genetically modified organisms because gene drive organisms (GDO) are designed to drive their transgenes into wild populations and thereby increase the number of GDOs. The rapid development in this field and its focus on wild populations demand a prospective risk assessment with a focus on exposure related aspects. Presently, it is unclear how adequate risk management could be guaranteed to limit the spread of GDs in time and space, in order to avoid potential adverse effects in socio‐ecological systems.\r\n\r\nThe recent workshop on the “Evaluation of Spatial and Temporal Control of Gene Drives” hosted by the Institute of Safety/Security and Risk Sciences (ISR) in Vienna aimed at gaining some insight into the potential population dynamic behavior of GDs and appropriate measures of control. Scientists from France, Germany, England, and the USA discussed both topics in this meeting on April 4–5, 2019. This article summarizes results of the workshop." article_number: '1900151' article_processing_charge: No article_type: original author: - first_name: B full_name: Giese, B last_name: Giese - first_name: J L full_name: Friess, J L last_name: Friess - first_name: 'M F ' full_name: 'Schetelig, M F ' last_name: Schetelig - 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: Philip full_name: Messer, Philip last_name: Messer - first_name: Florence full_name: Debarre, Florence last_name: Debarre - first_name: H full_name: Meimberg, H last_name: Meimberg - first_name: N full_name: Windbichler, N last_name: Windbichler - first_name: C full_name: Boete, C last_name: Boete citation: ama: 'Giese B, Friess JL, Schetelig MF, et al. Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. BioEssays. 2019;41(11). doi:10.1002/bies.201900151' apa: 'Giese, B., Friess, J. L., Schetelig, M. F., Barton, N. H., Messer, P., Debarre, F., … Boete, C. (2019). Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. BioEssays. Wiley. https://doi.org/10.1002/bies.201900151' chicago: 'Giese, B, J L Friess, M F Schetelig, Nicholas H Barton, Philip Messer, Florence Debarre, H Meimberg, N Windbichler, and C Boete. “Gene Drives: Dynamics and Regulatory Matters – A Report from the Workshop ‘Evaluation of Spatial and Temporal Control of Gene Drives’, 4 – 5 April 2019, Vienna.” BioEssays. Wiley, 2019. https://doi.org/10.1002/bies.201900151.' ieee: 'B. Giese et al., “Gene Drives: Dynamics and regulatory matters – A report from the workshop ‘Evaluation of spatial and temporal control of Gene Drives’, 4 – 5 April 2019, Vienna,” BioEssays, vol. 41, no. 11. Wiley, 2019.' ista: 'Giese B, Friess JL, Schetelig MF, Barton NH, Messer P, Debarre F, Meimberg H, Windbichler N, Boete C. 2019. Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna. BioEssays. 41(11), 1900151.' mla: 'Giese, B., et al. “Gene Drives: Dynamics and Regulatory Matters – A Report from the Workshop ‘Evaluation of Spatial and Temporal Control of Gene Drives’, 4 – 5 April 2019, Vienna.” BioEssays, vol. 41, no. 11, 1900151, Wiley, 2019, doi:10.1002/bies.201900151.' short: B. Giese, J.L. Friess, M.F. Schetelig, N.H. Barton, P. Messer, F. Debarre, H. Meimberg, N. Windbichler, C. Boete, BioEssays 41 (2019). date_created: 2019-09-07T14:40:03Z date_published: 2019-11-01T00:00:00Z date_updated: 2023-08-30T06:56:26Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1002/bies.201900151 external_id: isi: - '000489502000001' file: - access_level: open_access checksum: 8cc7551bff70b2658f8d5630f228ee12 content_type: application/pdf creator: dernst date_created: 2019-10-11T06:59:26Z date_updated: 2020-07-14T12:47:42Z file_id: '6939' file_name: 2019_BioEssays_Giese.pdf file_size: 193248 relation: main_file file_date_updated: 2020-07-14T12:47:42Z has_accepted_license: '1' intvolume: ' 41' isi: 1 issue: '11' language: - iso: eng month: '11' oa: 1 oa_version: Published Version publication: BioEssays publication_identifier: eissn: - 1521-1878 publication_status: published publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'Gene Drives: Dynamics and regulatory matters – A report from the workshop “Evaluation of spatial and temporal control of Gene Drives”, 4 – 5 April 2019, Vienna' 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: 41 year: '2019' ... --- _id: '13067' abstract: - lang: eng text: Genetic incompatibilities contribute to reproductive isolation between many diverging populations, but it is still unclear to what extent they play a role if divergence happens with gene flow. In contact zones between the "Crab" and "Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong barriers to gene flow, while the role of postzygotic barriers due to selection against hybrids remains unclear. High embryo abortion rates in this species could indicate the presence of such barriers. Postzygotic barriers might include genetic incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation, both expected to be most pronounced in contact zones. In addition, embryo abortion might reflect physiological stress on females and embryos independent of any genetic stress. We examined all embryos of >500 females sampled outside and inside contact zones of three populations in Sweden. Females' clutch size ranged from 0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean 12%). We described female genotypes by using a hybrid index based on hundreds of SNPs differentiated between ecotypes with which we characterised female genotypes. We also calculated female SNP heterozygosity and inversion karyotype. Clutch size did not vary with female hybrid index and abortion rates were only weakly related to hybrid index in two sites but not at all in a third site. No additional variation in abortion rate was explained by female SNP heterozygosity, but increased female inversion heterozygosity added slightly to increased abortion. Our results show only weak and probably biologically insignificant postzygotic barriers contributing to ecotype divergence and the high and variable abortion rates were marginally, if at all, explained by hybrid index of females. article_processing_charge: No author: - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Zuzanna full_name: Zagrodzka, Zuzanna last_name: Zagrodzka - first_name: Rui full_name: Faria, Rui last_name: Faria - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Roger full_name: Butlin, Roger last_name: Butlin citation: ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019. doi:10.5061/DRYAD.TB2RBNZWK' apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., & Butlin, R. (2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes? Dryad. https://doi.org/10.5061/DRYAD.TB2RBNZWK' chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow between Littorina Ecotypes?” Dryad, 2019. https://doi.org/10.5061/DRYAD.TB2RBNZWK.' ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?” Dryad, 2019.' ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?, Dryad, 10.5061/DRYAD.TB2RBNZWK.' mla: 'Johannesson, Kerstin, et al. Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow between Littorina Ecotypes? Dryad, 2019, doi:10.5061/DRYAD.TB2RBNZWK.' short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019). date_created: 2023-05-23T16:36:27Z date_published: 2019-12-02T00:00:00Z date_updated: 2023-09-06T14:48:57Z day: '02' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.TB2RBNZWK license: https://creativecommons.org/publicdomain/zero/1.0/ main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.tb2rbnzwk month: '12' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '7205' relation: used_in_publication status: public status: public title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?' tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2019' ... --- _id: '7393' abstract: - lang: eng text: The study of parallel ecological divergence provides important clues to the operation of natural selection. Parallel divergence often occurs in heterogeneous environments with different kinds of environmental gradients in different locations, but the genomic basis underlying this process is unknown. We investigated the genomics of rapid parallel adaptation in the marine snail Littorina saxatilis in response to two independent environmental axes (crab-predation versus wave-action and low-shore versus high-shore). Using pooled whole-genome resequencing, we show that sharing of genomic regions of high differentiation between environments is generally low but increases at smaller spatial scales. We identify different shared genomic regions of divergence for each environmental axis and show that most of these regions overlap with candidate chromosomal inversions. Several inversion regions are divergent and polymorphic across many localities. We argue that chromosomal inversions could store shared variation that fuels rapid parallel adaptation to heterogeneous environments, possibly as balanced polymorphism shared by adaptive gene flow. article_number: eaav9963 article_processing_charge: No article_type: original author: - first_name: Hernán E. full_name: Morales, Hernán E. last_name: Morales - first_name: Rui full_name: Faria, Rui last_name: Faria - first_name: Kerstin full_name: Johannesson, Kerstin last_name: Johannesson - first_name: Tomas full_name: Larsson, Tomas last_name: Larsson - first_name: Marina full_name: Panova, Marina last_name: Panova - first_name: Anja M full_name: Westram, Anja M id: 3C147470-F248-11E8-B48F-1D18A9856A87 last_name: Westram orcid: 0000-0003-1050-4969 - first_name: Roger K. full_name: Butlin, Roger K. last_name: Butlin citation: ama: 'Morales HE, Faria R, Johannesson K, et al. Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. 2019;5(12). doi:10.1126/sciadv.aav9963' apa: 'Morales, H. E., Faria, R., Johannesson, K., Larsson, T., Panova, M., Westram, A. M., & Butlin, R. K. (2019). Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. AAAS. https://doi.org/10.1126/sciadv.aav9963' chicago: 'Morales, Hernán E., Rui Faria, Kerstin Johannesson, Tomas Larsson, Marina Panova, Anja M Westram, and Roger K. Butlin. “Genomic Architecture of Parallel Ecological Divergence: Beyond a Single Environmental Contrast.” Science Advances. AAAS, 2019. https://doi.org/10.1126/sciadv.aav9963.' ieee: 'H. E. Morales et al., “Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast,” Science Advances, vol. 5, no. 12. AAAS, 2019.' ista: 'Morales HE, Faria R, Johannesson K, Larsson T, Panova M, Westram AM, Butlin RK. 2019. Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. 5(12), eaav9963.' mla: 'Morales, Hernán E., et al. “Genomic Architecture of Parallel Ecological Divergence: Beyond a Single Environmental Contrast.” Science Advances, vol. 5, no. 12, eaav9963, AAAS, 2019, doi:10.1126/sciadv.aav9963.' short: H.E. Morales, R. Faria, K. Johannesson, T. Larsson, M. Panova, A.M. Westram, R.K. Butlin, Science Advances 5 (2019). date_created: 2020-01-29T15:58:27Z date_published: 2019-12-04T00:00:00Z date_updated: 2023-09-06T15:35:56Z day: '04' ddc: - '570' department: - _id: NiBa doi: 10.1126/sciadv.aav9963 ec_funded: 1 external_id: isi: - '000505069600008' pmid: - '31840052' file: - access_level: open_access checksum: af99a5dcdc66c6d6102051faf3be48d8 content_type: application/pdf creator: dernst date_created: 2020-02-03T13:33:25Z date_updated: 2020-07-14T12:47:57Z file_id: '7442' file_name: 2019_ScienceAdvances_Morales.pdf file_size: 1869449 relation: main_file file_date_updated: 2020-07-14T12:47:57Z has_accepted_license: '1' intvolume: ' 5' isi: 1 issue: '12' language: - iso: eng license: https://creativecommons.org/licenses/by-nc/4.0/ month: '12' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships - _id: 265B41B8-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '797747' name: Theoretical and empirical approaches to understanding Parallel Adaptation publication: Science Advances publication_identifier: issn: - 2375-2548 publication_status: published publisher: AAAS quality_controlled: '1' scopus_import: '1' status: public title: 'Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast' tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) short: CC BY-NC (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 5 year: '2019' ... --- _id: '8281' abstract: - lang: eng text: We review the history of population genetics, starting with its origins a century ago from the synthesis between Mendel and Darwin's ideas, through to the recent development of sophisticated schemes of inference from sequence data, based on the coalescent. We explain the close relation between the coalescent and a diffusion process, which we illustrate by their application to understand spatial structure. We summarise the powerful methods available for analysis of multiple loci, when linkage equilibrium can be assumed, and then discuss approaches to the more challenging case, where associations between alleles require that we follow genotype, rather than allele, frequencies. Though we can hardly cover the whole of population genetics, we give an overview of the current state of the subject, and future challenges to it. 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 citation: ama: 'Barton NH, Etheridge A. Mathematical models in population genetics. In: Balding D, Moltke I, Marioni J, eds. Handbook of Statistical Genomics. 4th ed. Wiley; 2019:115-144. doi:10.1002/9781119487845.ch4' apa: Barton, N. H., & Etheridge, A. (2019). Mathematical models in population genetics. In D. Balding, I. Moltke, & J. Marioni (Eds.), Handbook of statistical genomics (4th ed., pp. 115–144). Wiley. https://doi.org/10.1002/9781119487845.ch4 chicago: Barton, Nicholas H, and Alison Etheridge. “Mathematical Models in Population Genetics.” In Handbook of Statistical Genomics, edited by David Balding, Ida Moltke, and John Marioni, 4th ed., 115–44. Wiley, 2019. https://doi.org/10.1002/9781119487845.ch4. ieee: N. H. Barton and A. Etheridge, “Mathematical models in population genetics,” in Handbook of statistical genomics, 4th ed., D. Balding, I. Moltke, and J. Marioni, Eds. Wiley, 2019, pp. 115–144. ista: 'Barton NH, Etheridge A. 2019.Mathematical models in population genetics. In: Handbook of statistical genomics. , 115–144.' mla: Barton, Nicholas H., and Alison Etheridge. “Mathematical Models in Population Genetics.” Handbook of Statistical Genomics, edited by David Balding et al., 4th ed., Wiley, 2019, pp. 115–44, doi:10.1002/9781119487845.ch4. short: N.H. Barton, A. Etheridge, in:, D. Balding, I. Moltke, J. Marioni (Eds.), Handbook of Statistical Genomics, 4th ed., Wiley, 2019, pp. 115–144. date_created: 2020-08-21T04:25:39Z date_published: 2019-07-29T00:00:00Z date_updated: 2023-09-08T11:24:15Z day: '29' ddc: - '576' department: - _id: NiBa doi: 10.1002/9781119487845.ch4 edition: '4' editor: - first_name: David full_name: Balding, David last_name: Balding - first_name: Ida full_name: Moltke, Ida last_name: Moltke - first_name: John full_name: Marioni, John last_name: Marioni external_id: isi: - '000261343000003' isi: 1 language: - iso: eng month: '07' oa_version: None page: 115-144 publication: Handbook of statistical genomics publication_identifier: isbn: - '9781119429142' publication_status: published publisher: Wiley quality_controlled: '1' status: public title: Mathematical models in population genetics type: book_chapter user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2019' ...