Allele mining and enhanced genetic recombination for rice breeding
Traditional rice varieties harbour a large store of genetic diversity with potential to accelerate rice improvement. For a long time, this diversity maintained in the International Rice Genebank has not been fully used because of a lack of genome information. The publication of the first reference g...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/165370 |
| _version_ | 1855543711023235072 |
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| author | Leung, Hei Raghavan, Chitra Zhou, Bo Oliva, Ricardo Choi, Il-Ryong Lacorte, Vanica Jubay, Mona Liza Vera Cruz, Casiana Gregorio, Glenn Singh, Rakesh Kumar Ulat, Victor Jun Borja, Frances Nikki Mauleon, Ramil Alexandrov, Nickolai N. McNally, Kenneth L. Hamilton, Ruaraidh Sackville |
| author_browse | Alexandrov, Nickolai N. Borja, Frances Nikki Choi, Il-Ryong Gregorio, Glenn Hamilton, Ruaraidh Sackville Jubay, Mona Liza Lacorte, Vanica Leung, Hei Mauleon, Ramil McNally, Kenneth L. Oliva, Ricardo Raghavan, Chitra Singh, Rakesh Kumar Ulat, Victor Jun Vera Cruz, Casiana Zhou, Bo |
| author_facet | Leung, Hei Raghavan, Chitra Zhou, Bo Oliva, Ricardo Choi, Il-Ryong Lacorte, Vanica Jubay, Mona Liza Vera Cruz, Casiana Gregorio, Glenn Singh, Rakesh Kumar Ulat, Victor Jun Borja, Frances Nikki Mauleon, Ramil Alexandrov, Nickolai N. McNally, Kenneth L. Hamilton, Ruaraidh Sackville |
| author_sort | Leung, Hei |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Traditional rice varieties harbour a large store of genetic diversity with potential to accelerate rice improvement. For a long time, this diversity maintained in the International Rice Genebank has not been fully used because of a lack of genome information. The publication of the first reference genome of Nipponbare by the International Rice Genome Sequencing Project (IRGSP) marked the beginning of a systematic exploration and use of rice diversity for genetic research and breeding. Since then, the Nipponbare genome has served as the reference for the assembly of many additional genomes. The recently completed 3000 Rice Genomes Project together with the public database (SNP-Seek) provides a new genomic and data resource that enables the identification of useful accessions for breeding. Using disease resistance traits as case studies, we demonstrated the power of allele mining in the 3,000 genomes for extracting accessions from the GeneBank for targeted phenotyping. Although potentially useful landraces can now be identified, their use in breeding is often hindered by unfavourable linkages. Efficient breeding designs are much needed to transfer the useful diversity to breeding. Multi-parent Advanced Generation InterCross (MAGIC) is a breeding design to produce highly recombined populations. The MAGIC approach can be used to generate pre-breeding populations with increased genotypic diversity and reduced linkage drag. Allele mining combined with a multi-parent breeding design can help convert useful diversity into breeding-ready genetic resources. |
| format | Journal Article |
| id | CGSpace165370 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1653702025-05-14T10:24:34Z Allele mining and enhanced genetic recombination for rice breeding Leung, Hei Raghavan, Chitra Zhou, Bo Oliva, Ricardo Choi, Il-Ryong Lacorte, Vanica Jubay, Mona Liza Vera Cruz, Casiana Gregorio, Glenn Singh, Rakesh Kumar Ulat, Victor Jun Borja, Frances Nikki Mauleon, Ramil Alexandrov, Nickolai N. McNally, Kenneth L. Hamilton, Ruaraidh Sackville alleles disease resistance genetic diversity genomes landraces plant breeding recombination Traditional rice varieties harbour a large store of genetic diversity with potential to accelerate rice improvement. For a long time, this diversity maintained in the International Rice Genebank has not been fully used because of a lack of genome information. The publication of the first reference genome of Nipponbare by the International Rice Genome Sequencing Project (IRGSP) marked the beginning of a systematic exploration and use of rice diversity for genetic research and breeding. Since then, the Nipponbare genome has served as the reference for the assembly of many additional genomes. The recently completed 3000 Rice Genomes Project together with the public database (SNP-Seek) provides a new genomic and data resource that enables the identification of useful accessions for breeding. Using disease resistance traits as case studies, we demonstrated the power of allele mining in the 3,000 genomes for extracting accessions from the GeneBank for targeted phenotyping. Although potentially useful landraces can now be identified, their use in breeding is often hindered by unfavourable linkages. Efficient breeding designs are much needed to transfer the useful diversity to breeding. Multi-parent Advanced Generation InterCross (MAGIC) is a breeding design to produce highly recombined populations. The MAGIC approach can be used to generate pre-breeding populations with increased genotypic diversity and reduced linkage drag. Allele mining combined with a multi-parent breeding design can help convert useful diversity into breeding-ready genetic resources. 2015-12 2024-12-19T12:54:59Z 2024-12-19T12:54:59Z Journal Article https://hdl.handle.net/10568/165370 en Open Access Springer Leung, Hei; Raghavan, Chitra; Zhou, Bo; Oliva, Ricardo; Choi, Il Ryong; Lacorte, Vanica; Jubay, Mona Liza; Cruz, Casiana Vera; Gregorio, Glenn; Singh, Rakesh Kumar; Ulat, Victor Jun; Borja, Frances Nikki; Mauleon, Ramil; Alexandrov, Nickolai N.; McNally, Kenneth L. and Sackville Hamilton, Ruaraidh. 2015. Allele mining and enhanced genetic recombination for rice breeding. Rice, Volume 8, no. 1 |
| spellingShingle | alleles disease resistance genetic diversity genomes landraces plant breeding recombination Leung, Hei Raghavan, Chitra Zhou, Bo Oliva, Ricardo Choi, Il-Ryong Lacorte, Vanica Jubay, Mona Liza Vera Cruz, Casiana Gregorio, Glenn Singh, Rakesh Kumar Ulat, Victor Jun Borja, Frances Nikki Mauleon, Ramil Alexandrov, Nickolai N. McNally, Kenneth L. Hamilton, Ruaraidh Sackville Allele mining and enhanced genetic recombination for rice breeding |
| title | Allele mining and enhanced genetic recombination for rice breeding |
| title_full | Allele mining and enhanced genetic recombination for rice breeding |
| title_fullStr | Allele mining and enhanced genetic recombination for rice breeding |
| title_full_unstemmed | Allele mining and enhanced genetic recombination for rice breeding |
| title_short | Allele mining and enhanced genetic recombination for rice breeding |
| title_sort | allele mining and enhanced genetic recombination for rice breeding |
| topic | alleles disease resistance genetic diversity genomes landraces plant breeding recombination |
| url | https://hdl.handle.net/10568/165370 |
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