A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea
The genus Pantoea forms a complex of more than 25 species, among which several cause diseases of several crop plants, including rice. Notably, strains of Pantoea ananatis and Pantoea stewartii have been found to cause bacterial leaf blight of rice in Togo and Benin, while other authors have observed...
| Autores principales: | , , , , |
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| Formato: | Preprint |
| Lenguaje: | Inglés |
| Publicado: |
Cold Spring Harbor Laboratory
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/102045 |
| _version_ | 1855529326887305216 |
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| author | Kini, K. Agnimonhan, R. Dossa, R. Silué, D. Koebnik, R. |
| author_browse | Agnimonhan, R. Dossa, R. Kini, K. Koebnik, R. Silué, D. |
| author_facet | Kini, K. Agnimonhan, R. Dossa, R. Silué, D. Koebnik, R. |
| author_sort | Kini, K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The genus Pantoea forms a complex of more than 25 species, among which several cause diseases of several crop plants, including rice. Notably, strains of Pantoea ananatis and Pantoea stewartii have been found to cause bacterial leaf blight of rice in Togo and Benin, while other authors have observed that Pantoea agglomerans can also cause bacterial leaf blight of rice. The contribution of these and perhaps other species of Pantoea to plant diseases and yield losses of crop plants is currently not well documented, partly due to the lack of efficient diagnostic tools. |
| format | Preprint |
| id | CGSpace102045 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Cold Spring Harbor Laboratory |
| publisherStr | Cold Spring Harbor Laboratory |
| record_format | dspace |
| spelling | CGSpace1020452025-12-08T10:11:39Z A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea Kini, K. Agnimonhan, R. Dossa, R. Silué, D. Koebnik, R. pantoea rice oryza sativa bacterial leaf blight The genus Pantoea forms a complex of more than 25 species, among which several cause diseases of several crop plants, including rice. Notably, strains of Pantoea ananatis and Pantoea stewartii have been found to cause bacterial leaf blight of rice in Togo and Benin, while other authors have observed that Pantoea agglomerans can also cause bacterial leaf blight of rice. The contribution of these and perhaps other species of Pantoea to plant diseases and yield losses of crop plants is currently not well documented, partly due to the lack of efficient diagnostic tools. 2018-10-30 2019-07-02T14:57:01Z 2019-07-02T14:57:01Z Preprint https://hdl.handle.net/10568/102045 en Open Access application/pdf Cold Spring Harbor Laboratory Kini, K., Agnimonhan, R., Dossa, R., Silué, D., and Koebnik, R. 2018. A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea. bioRxiv 456806 |
| spellingShingle | pantoea rice oryza sativa bacterial leaf blight Kini, K. Agnimonhan, R. Dossa, R. Silué, D. Koebnik, R. A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title | A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title_full | A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title_fullStr | A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title_full_unstemmed | A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title_short | A diagnostic multiplex PCR scheme for identification of plant-associated bacteria of the genus Pantoea |
| title_sort | diagnostic multiplex pcr scheme for identification of plant associated bacteria of the genus pantoea |
| topic | pantoea rice oryza sativa bacterial leaf blight |
| url | https://hdl.handle.net/10568/102045 |
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