The Least Cost Path From Landscape Genetics to Landscape Genomics
Ecosystems are the stage on which the play of evolution is acted, and ecosystems are complex, spatially structured and temporally varying. The purpose of this Research Topic is to explore critical challenges and opportunities for the transition from landscape genetics to landscape genomics. Landscap...
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| 格式: | Online |
| 語言: | 英语 |
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Frontiers Media SA
2021
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| 在線閱讀: | 31958 |
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| _version_ | 1869524043568250880 |
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| author | Rodney J. Dyer Stéphane Joost Samuel A. Cushman Glenn T. Howe Melanie A. Murphy Andrew J. Shirk |
| author_browse | Andrew J. Shirk Glenn T. Howe Melanie A. Murphy Rodney J. Dyer Samuel A. Cushman Stéphane Joost |
| author_facet | Rodney J. Dyer Stéphane Joost Samuel A. Cushman Glenn T. Howe Melanie A. Murphy Andrew J. Shirk |
| author_sort | Rodney J. Dyer |
| collection | Directory of Open Access Books |
| description | Ecosystems are the stage on which the play of evolution is acted, and ecosystems are complex, spatially structured and temporally varying. The purpose of this Research Topic is to explore critical challenges and opportunities for the transition from landscape genetics to landscape genomics. Landscape genetics has focused on the spatial analysis of small genetic datasets, typically comprised of less than 20 microsatellite markers, taken from clusters of individuals in putative populations or distributed individuals across landscapes. The recent emergence of large scale genomic datasets produced by next generation sequencing methods poses tremendous challenge and opportunity to the field. Perhaps the greatest is to produce, process, curate, archive and analyze spatially referenced genomic datasets in a way such that research is led by a priori hypotheses regarding how environmental heterogeneity and temporal dynamics interact to affect gene flow and selection. The papers in the Research Topic cover a broad range of topics under this area of focus, from reviews of the emergence of landscape genetics, to best practices in spatial analysis of genetic data. The compilation, like the emerging field itself, is eclectic and illustrates the scope of both the challenges and opportunities of this emerging field. |
| format | Online |
| id | doab-20.500.12854ir-51490 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-514902024-04-05T12:35:07Z The Least Cost Path From Landscape Genetics to Landscape Genomics Rodney J. Dyer Stéphane Joost Samuel A. Cushman Glenn T. Howe Melanie A. Murphy Andrew J. Shirk QH426-470 QK1-989 QH540-549.5 Q1-390 landscape genomics gene flow next generation sequencing landscape genetics evolution thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) Ecosystems are the stage on which the play of evolution is acted, and ecosystems are complex, spatially structured and temporally varying. The purpose of this Research Topic is to explore critical challenges and opportunities for the transition from landscape genetics to landscape genomics. Landscape genetics has focused on the spatial analysis of small genetic datasets, typically comprised of less than 20 microsatellite markers, taken from clusters of individuals in putative populations or distributed individuals across landscapes. The recent emergence of large scale genomic datasets produced by next generation sequencing methods poses tremendous challenge and opportunity to the field. Perhaps the greatest is to produce, process, curate, archive and analyze spatially referenced genomic datasets in a way such that research is led by a priori hypotheses regarding how environmental heterogeneity and temporal dynamics interact to affect gene flow and selection. The papers in the Research Topic cover a broad range of topics under this area of focus, from reviews of the emergence of landscape genetics, to best practices in spatial analysis of genetic data. The compilation, like the emerging field itself, is eclectic and illustrates the scope of both the challenges and opportunities of this emerging field. 2021-02-11T17:31:04Z 2021-02-11T17:31:04Z 2019-01-23 14:53:42 2018 book 31958 16648714 9782889455485 https://directory.doabooks.org/handle/20.500.12854/51490 eng Frontiers Research Topics image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/3790/the-least-cost-path-from-landscape-genetics-to-landscape-genomics-challenges-and-opportunities-to-ex Frontiers Media SA 10.3389/978-2-88945-548-5 10.3389/978-2-88945-548-5 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889455485 116 open access |
| spellingShingle | QH426-470 QK1-989 QH540-549.5 Q1-390 landscape genomics gene flow next generation sequencing landscape genetics evolution thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) Rodney J. Dyer Stéphane Joost Samuel A. Cushman Glenn T. Howe Melanie A. Murphy Andrew J. Shirk The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title | The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title_full | The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title_fullStr | The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title_full_unstemmed | The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title_short | The Least Cost Path From Landscape Genetics to Landscape Genomics |
| title_sort | least cost path from landscape genetics to landscape genomics |
| topic | QH426-470 QK1-989 QH540-549.5 Q1-390 landscape genomics gene flow next generation sequencing landscape genetics evolution thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) |
| topic_facet | QH426-470 QK1-989 QH540-549.5 Q1-390 landscape genomics gene flow next generation sequencing landscape genetics evolution thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) |
| url | 31958 |
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