LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell
dc.contributor.author | Sperschneider, J. | |
dc.contributor.author | Catanzariti, A. | |
dc.contributor.author | Deboer, K. | |
dc.contributor.author | Petre, B. | |
dc.contributor.author | Gardiner, D. | |
dc.contributor.author | Singh, Karam | |
dc.contributor.author | Dodds, P. | |
dc.contributor.author | Taylor, J. | |
dc.date.accessioned | 2017-04-28T13:57:43Z | |
dc.date.available | 2017-04-28T13:57:43Z | |
dc.date.created | 2017-04-28T09:06:02Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Sperschneider, J. and Catanzariti, A. and Deboer, K. and Petre, B. and Gardiner, D. and Singh, K. and Dodds, P. et al. 2017. LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell. Scientific Reports. 7: 44598. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/52131 | |
dc.identifier.doi | 10.1038/srep44598 | |
dc.description.abstract |
Pathogens secrete effector proteins and many operate inside plant cells to enable infection. Some effectors have been found to enter subcellular compartments by mimicking host targeting sequences. Although many computational methods exist to predict plant protein subcellular localization, they perform poorly for effectors. We introduce LOCALIZER for predicting plant and effector protein localization to chloroplasts, mitochondria, and nuclei. LOCALIZER shows greater prediction accuracy for chloroplast and mitochondrial targeting compared to other methods for 652 plant proteins. For 107 eukaryotic effectors, LOCALIZER outperforms other methods and predicts a previously unrecognized chloroplast transit peptide for the ToxA effector, which we show translocates into tobacco chloroplasts. Secretome-wide predictions and confocal microscopy reveal that rust fungi might have evolved multiple effectors that target chloroplasts or nuclei. LOCALIZER is the first method for predicting effector localisation in plants and is a valuable tool for prioritizing effector candidates for functional investigations. © The Author(s) 2017. | |
dc.publisher | Nature Publishing Group | |
dc.title | LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell | |
dc.type | Journal Article | |
dcterms.source.volume | 7 | |
dcterms.source.issn | 2045-2322 | |
dcterms.source.title | Scientific Reports | |
curtin.department | Centre for Crop Disease Management | |
curtin.accessStatus | Open access via publisher |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |