A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1
| dc.contributor.author | Yocgo, Rosita E | |
| dc.contributor.author | Geza, Ephifania | |
| dc.contributor.author | Chimusa, Emile R | |
| dc.contributor.author | Mazandu, Gaston K | |
| dc.date.accessioned | 2021-10-08T06:54:45Z | |
| dc.date.available | 2021-10-08T06:54:45Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Advances in forward and reverse genetic techniques have enabled the discovery and identification of several plant defence genes based on quantifiable disease phenotypes in mutant populations. Existing models for testing the effect of gene inactivation or genes causing these phenotypes do not take into account eventual uncertainty of these datasets and potential noise inherent in the biological experiment used, which may mask downstream analysis and limit the use of these datasets. Moreover, elucidating biological mechanisms driving the induced disease resistance and influencing these observable disease phenotypes has never been systematically tackled, eliciting the need for an efficient model to characterize completely the gene target under consideration. | |
| dc.identifier.apacitation | Yocgo, R. E., Geza, E., Chimusa, E. R., & Mazandu, G. K. (2017). A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. <i>BMC Plant Biology</i>, 17(1), 174 - 177. http://hdl.handle.net/11427/34330 | en_ZA |
| dc.identifier.chicagocitation | Yocgo, Rosita E, Ephifania Geza, Emile R Chimusa, and Gaston K Mazandu "A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1." <i>BMC Plant Biology</i> 17, 1. (2017): 174 - 177. http://hdl.handle.net/11427/34330 | en_ZA |
| dc.identifier.citation | Yocgo, R.E., Geza, E., Chimusa, E.R. & Mazandu, G.K. 2017. A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. <i>BMC Plant Biology.</i> 17(1):174 - 177. http://hdl.handle.net/11427/34330 | en_ZA |
| dc.identifier.issn | 1471-2229 | |
| dc.identifier.ris | TY - Journal Article AU - Yocgo, Rosita E AU - Geza, Ephifania AU - Chimusa, Emile R AU - Mazandu, Gaston K AB - Advances in forward and reverse genetic techniques have enabled the discovery and identification of several plant defence genes based on quantifiable disease phenotypes in mutant populations. Existing models for testing the effect of gene inactivation or genes causing these phenotypes do not take into account eventual uncertainty of these datasets and potential noise inherent in the biological experiment used, which may mask downstream analysis and limit the use of these datasets. Moreover, elucidating biological mechanisms driving the induced disease resistance and influencing these observable disease phenotypes has never been systematically tackled, eliciting the need for an efficient model to characterize completely the gene target under consideration. DA - 2017 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - BMC Plant Biology LK - https://open.uct.ac.za PY - 2017 SM - 1471-2229 T1 - A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1 TI - A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1 UR - http://hdl.handle.net/11427/34330 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/34330 | |
| dc.identifier.vancouvercitation | Yocgo RE, Geza E, Chimusa ER, Mazandu GK. A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1. BMC Plant Biology. 2017;17(1):174 - 177. http://hdl.handle.net/11427/34330. | en_ZA |
| dc.language.iso | eng | |
| dc.publisher.department | Department of Integrative Biomedical Sciences (IBMS) | |
| dc.publisher.faculty | Faculty of Health Sciences | |
| dc.source | BMC Plant Biology | |
| dc.source.journalissue | 1 | |
| dc.source.journalvolume | 17 | |
| dc.source.pagination | 174 - 177 | |
| dc.source.uri | https://dx.doi.org/10.1186/s12870-017-1151-y | |
| dc.subject.other | Gene silencing | |
| dc.subject.other | Plant defence gene discovery | |
| dc.subject.other | Semantic similarity | |
| dc.subject.other | Arabidopsis thaliana | |
| dc.subject.other | Pseudomonas syringae | |
| dc.title | A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1 | |
| dc.type | Journal Article | |
| uct.type.publication | Research | |
| uct.type.resource | Journal Article |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- YocgoRositaE_A_post_gene_sil_2017.pdf
- Size:
- 1.86 MB
- Format:
- Adobe Portable Document Format
- Description: