A platinum standard pan-genome resource that represents the population structure of Asian rice
As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand a...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/164516 |
| _version_ | 1855538914264088576 |
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| author | Zhou, Yong Chebotarov, Dmytro Kudrna, Dave Llaca, Victor Lee, Seunghee Rajasekar, Shanmugam Mohammed, Nahed Al-Bader, Noor Sobel-Sorenson, Chandler Parakkal, Praveena Arbelaez, Lady Johanna Franco, Natalia Alexandrov, Nickolai Hamilton, Ruaraidh Sackville Leung, Hei Mauleon, Ramil Lorieux, Mathias Zuccolo, Andrea McNally, Kenneth Zhang, Jianwei Wing, Rod A. |
| author_browse | Al-Bader, Noor Alexandrov, Nickolai Arbelaez, Lady Johanna Chebotarov, Dmytro Franco, Natalia Hamilton, Ruaraidh Sackville Kudrna, Dave Lee, Seunghee Leung, Hei Llaca, Victor Lorieux, Mathias Mauleon, Ramil McNally, Kenneth Mohammed, Nahed Parakkal, Praveena Rajasekar, Shanmugam Sobel-Sorenson, Chandler Wing, Rod A. Zhang, Jianwei Zhou, Yong Zuccolo, Andrea |
| author_facet | Zhou, Yong Chebotarov, Dmytro Kudrna, Dave Llaca, Victor Lee, Seunghee Rajasekar, Shanmugam Mohammed, Nahed Al-Bader, Noor Sobel-Sorenson, Chandler Parakkal, Praveena Arbelaez, Lady Johanna Franco, Natalia Alexandrov, Nickolai Hamilton, Ruaraidh Sackville Leung, Hei Mauleon, Ramil Lorieux, Mathias Zuccolo, Andrea McNally, Kenneth Zhang, Jianwei Wing, Rod A. |
| author_sort | Zhou, Yong |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand and thus, knowledge of the full repertoire of genetic diversity that exists in germplasm banks across the globe is required. To meet this demand, we describe the generation, validation and preliminary analyses of transposable element and long-range structural variation content of 12 near-gap-free reference genome sequences (RefSeqs) from representatives of 12 of 15 subpopulations of cultivated Asian rice. When combined with 4 existing RefSeqs, that represent the 3 remaining rice subpopulations and the largest admixed population, this collection of 16 Platinum Standard RefSeqs (PSRefSeq) can be used as a template to map resequencing data to detect virtually all standing natural variation that exists in the pan-genome of cultivated Asian rice. |
| format | Journal Article |
| id | CGSpace164516 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1645162025-05-14T10:24:27Z A platinum standard pan-genome resource that represents the population structure of Asian rice Zhou, Yong Chebotarov, Dmytro Kudrna, Dave Llaca, Victor Lee, Seunghee Rajasekar, Shanmugam Mohammed, Nahed Al-Bader, Noor Sobel-Sorenson, Chandler Parakkal, Praveena Arbelaez, Lady Johanna Franco, Natalia Alexandrov, Nickolai Hamilton, Ruaraidh Sackville Leung, Hei Mauleon, Ramil Lorieux, Mathias Zuccolo, Andrea McNally, Kenneth Zhang, Jianwei Wing, Rod A. computer science applications education information systems library and information sciences statistics and probability statistics probability and uncertainty As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand and thus, knowledge of the full repertoire of genetic diversity that exists in germplasm banks across the globe is required. To meet this demand, we describe the generation, validation and preliminary analyses of transposable element and long-range structural variation content of 12 near-gap-free reference genome sequences (RefSeqs) from representatives of 12 of 15 subpopulations of cultivated Asian rice. When combined with 4 existing RefSeqs, that represent the 3 remaining rice subpopulations and the largest admixed population, this collection of 16 Platinum Standard RefSeqs (PSRefSeq) can be used as a template to map resequencing data to detect virtually all standing natural variation that exists in the pan-genome of cultivated Asian rice. 2020-04-07 2024-12-19T12:53:59Z 2024-12-19T12:53:59Z Journal Article https://hdl.handle.net/10568/164516 en Open Access Springer Zhou, Yong; Chebotarov, Dmytro; Kudrna, Dave; Llaca, Victor; Lee, Seunghee; Rajasekar, Shanmugam; Mohammed, Nahed; Al-Bader, Noor; Sobel-Sorenson, Chandler; Parakkal, Praveena; Arbelaez, Lady Johanna; Franco, Natalia; Alexandrov, Nickolai; Hamilton, N. Ruaraidh Sackville; Leung, Hei; Mauleon, Ramil; Lorieux, Mathias; Zuccolo, Andrea; McNally, Kenneth; Zhang, Jianwei and Wing, Rod A. 2020. A platinum standard pan-genome resource that represents the population structure of Asian rice. Sci Data, Volume 7, no. 1 |
| spellingShingle | computer science applications education information systems library and information sciences statistics and probability statistics probability and uncertainty Zhou, Yong Chebotarov, Dmytro Kudrna, Dave Llaca, Victor Lee, Seunghee Rajasekar, Shanmugam Mohammed, Nahed Al-Bader, Noor Sobel-Sorenson, Chandler Parakkal, Praveena Arbelaez, Lady Johanna Franco, Natalia Alexandrov, Nickolai Hamilton, Ruaraidh Sackville Leung, Hei Mauleon, Ramil Lorieux, Mathias Zuccolo, Andrea McNally, Kenneth Zhang, Jianwei Wing, Rod A. A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title | A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title_full | A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title_fullStr | A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title_full_unstemmed | A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title_short | A platinum standard pan-genome resource that represents the population structure of Asian rice |
| title_sort | platinum standard pan genome resource that represents the population structure of asian rice |
| topic | computer science applications education information systems library and information sciences statistics and probability statistics probability and uncertainty |
| url | https://hdl.handle.net/10568/164516 |
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