LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell.
LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell.
复制标题
DOI：
10.1038/srep44598
复制
发表时间：
2017-03-16
影响因子：
4.6
通讯作者：
Taylor JM
中科院分区：
文献类型：
--
作者：
Sperschneider J;Catanzariti AM;DeBoer K;Petre B;Gardiner DM;Singh KB;Dodds PN;Taylor JM
病原体分泌效应蛋白，许多在植物细胞内运作，使感染成为可能。已经发现一些效应物通过模拟宿主靶向序列进入亚细胞区室。虽然存在许多计算方法来预测植物蛋白质的亚细胞定位，他们表现不佳的效应。我们介绍LOCALIZER预测植物和效应蛋白定位到叶绿体，线粒体和细胞核。LOCALIZER显示更高的预测精度为叶绿体和线粒体靶向相比，其他方法为652植物蛋白。对于107个真核生物效应子，LOCALIZER优于其他方法，并预测了一个以前未被识别的叶绿体转运肽的ToxA效应子，我们显示易位到烟草叶绿体。全分泌组的预测和共聚焦显微镜显示，锈菌可能已经进化出多种效应器，靶向叶绿体或细胞核。LOCALIZER是第一种预测植物中效应子定位的方法，也是一种有价值的工具，用于优先考虑效应子候选人进行功能研究。LOCALIZER可在http://localizer.csiro.au/上获得。
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. LOCALIZER is available at http://localizer.csiro.au/.