Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola
Uniqprimer, a software pipeline developed in Python, was deployed as a user-friendly internet tool in Rice Galaxy for comparative genome analyses to design primer sets for PCRassays capable of detecting target bacterial taxa. The pipeline was trialed with Dickeya dianthicola, a destructive broad-hos...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Scientific Societies
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164603 |
| _version_ | 1855519283645251584 |
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| author | Karim, Shaista McNally, R. Ryan Nasaruddin, Afnan S. DeReeper, Alexis Mauleon, Ramil P. Charkowski, Amy O. Leach, Jan E. Ben-Hur, Asa Triplett, Lindsay R. |
| author_browse | Ben-Hur, Asa Charkowski, Amy O. DeReeper, Alexis Karim, Shaista Leach, Jan E. Mauleon, Ramil P. McNally, R. Ryan Nasaruddin, Afnan S. Triplett, Lindsay R. |
| author_facet | Karim, Shaista McNally, R. Ryan Nasaruddin, Afnan S. DeReeper, Alexis Mauleon, Ramil P. Charkowski, Amy O. Leach, Jan E. Ben-Hur, Asa Triplett, Lindsay R. |
| author_sort | Karim, Shaista |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Uniqprimer, a software pipeline developed in Python, was deployed as a user-friendly internet tool in Rice Galaxy for comparative genome analyses to design primer sets for PCRassays capable of detecting target bacterial taxa. The pipeline was trialed with Dickeya dianthicola, a destructive broad-host-range bacterial pathogen found in most potato-growing regions. Dickeya is a highly variable genus, and some primers available to detect this genus and species exhibit common diagnostic failures. Upon uploading a selection of target and nontarget genomes, six primer sets were rapidly identified with Uniqprimer, of which two were specific and sensitive when tested with D. dianthicola. The remaining four amplified a minority of the nontarget strains tested. The two promising candidate primer sets were trialed with DNA isolated from 116 field samples from across the United States that were previously submitted for testing. D. dianthicola was detected in 41 samples, demonstrating the applicability of our detection primers and suggesting widespread occurrence of D. dianthicola in North America. |
| format | Journal Article |
| id | CGSpace164603 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Scientific Societies |
| publisherStr | Scientific Societies |
| record_format | dspace |
| spelling | CGSpace1646032025-12-08T09:54:28Z Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola Karim, Shaista McNally, R. Ryan Nasaruddin, Afnan S. DeReeper, Alexis Mauleon, Ramil P. Charkowski, Amy O. Leach, Jan E. Ben-Hur, Asa Triplett, Lindsay R. agronomy crop science plant science Uniqprimer, a software pipeline developed in Python, was deployed as a user-friendly internet tool in Rice Galaxy for comparative genome analyses to design primer sets for PCRassays capable of detecting target bacterial taxa. The pipeline was trialed with Dickeya dianthicola, a destructive broad-host-range bacterial pathogen found in most potato-growing regions. Dickeya is a highly variable genus, and some primers available to detect this genus and species exhibit common diagnostic failures. Upon uploading a selection of target and nontarget genomes, six primer sets were rapidly identified with Uniqprimer, of which two were specific and sensitive when tested with D. dianthicola. The remaining four amplified a minority of the nontarget strains tested. The two promising candidate primer sets were trialed with DNA isolated from 116 field samples from across the United States that were previously submitted for testing. D. dianthicola was detected in 41 samples, demonstrating the applicability of our detection primers and suggesting widespread occurrence of D. dianthicola in North America. 2019-11 2024-12-19T12:54:06Z 2024-12-19T12:54:06Z Journal Article https://hdl.handle.net/10568/164603 en Scientific Societies Karim, Shaista; McNally, R. Ryan; Nasaruddin, Afnan S.; DeReeper, Alexis; Mauleon, Ramil P.; Charkowski, Amy O.; Leach, Jan E.; Ben-Hur, Asa and Triplett, Lindsay R. 2019. Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola. Plant Disease, Volume 103 no. 11 p. 2893-2902 |
| spellingShingle | agronomy crop science plant science Karim, Shaista McNally, R. Ryan Nasaruddin, Afnan S. DeReeper, Alexis Mauleon, Ramil P. Charkowski, Amy O. Leach, Jan E. Ben-Hur, Asa Triplett, Lindsay R. Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title | Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title_full | Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title_fullStr | Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title_full_unstemmed | Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title_short | Development of the automated primer design workflow uniqprimer and diagnostic primers for the broad-host-range plant pathogen Dickeya dianthicola |
| title_sort | development of the automated primer design workflow uniqprimer and diagnostic primers for the broad host range plant pathogen dickeya dianthicola |
| topic | agronomy crop science plant science |
| url | https://hdl.handle.net/10568/164603 |
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