RustEffectorV1, Main, Exploration, bibRecord, 000064

LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell.

Identifieur interne : 000064 ( Main/Exploration ); précédent : 000063; suivant : 000065

LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell.

Auteurs : Jana Sperschneider [Australie] ; Ann-Maree Catanzariti [Australie] ; Kathleen Deboer [Australie] ; Benjamin Petre [Royaume-Uni] ; Donald M. Gardiner [Australie] ; Karam B. Singh [Australie] ; Peter N. Dodds [Australie] ; Jennifer M. Taylor [Australie]

Source :

Scientific reports [ 2045-2322 ] ; 2017.

RBID : pubmed:28300209

Descripteurs français

KwdFr :
- Cellules végétales (métabolisme), Fractions subcellulaires (métabolisme), Génome fongique (MeSH), Logiciel (MeSH), Oomycetes (métabolisme), Organites (métabolisme), Protéines végétales (composition chimique), Protéines végétales (métabolisme), Signaux de triage des protéines (MeSH), Séquence d'acides aminés (MeSH), Tabac (métabolisme), Transport des protéines (MeSH).
MESH :
- composition chimique : Protéines végétales.
- métabolisme : Cellules végétales, Fractions subcellulaires, Oomycetes, Organites, Protéines végétales, Tabac.
- Génome fongique, Logiciel, Signaux de triage des protéines, Séquence d'acides aminés, Transport des protéines.

English descriptors

KwdEn :
- Amino Acid Sequence (MeSH), Genome, Fungal (MeSH), Oomycetes (metabolism), Organelles (metabolism), Plant Cells (metabolism), Plant Proteins (chemistry), Plant Proteins (metabolism), Protein Sorting Signals (MeSH), Protein Transport (MeSH), Software (MeSH), Subcellular Fractions (metabolism), Tobacco (metabolism).
MESH :
- chemical , chemistry : Plant Proteins.
- metabolism : Oomycetes, Organelles, Plant Cells, Plant Proteins, Subcellular Fractions, Tobacco.
- Amino Acid Sequence, Genome, Fungal, Protein Sorting Signals, Protein Transport, Software.

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. LOCALIZER is available at http://localizer.csiro.au/.

DOI: 10.1038/srep44598
PubMed: 28300209
PubMed Central: PMC5353544

Affiliations:

Australie, Royaume-Uni

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000065
to stream Main, to step Curation: 000065

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Amino Acid Sequence (MeSH)</term>
<term>Genome, Fungal (MeSH)</term>
<term>Oomycetes (metabolism)</term>
<term>Organelles (metabolism)</term>
<term>Plant Cells (metabolism)</term>
<term>Plant Proteins (chemistry)</term>
<term>Plant Proteins (metabolism)</term>
<term>Protein Sorting Signals (MeSH)</term>
<term>Protein Transport (MeSH)</term>
<term>Software (MeSH)</term>
<term>Subcellular Fractions (metabolism)</term>
<term>Tobacco (metabolism)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Cellules végétales (métabolisme)</term>
<term>Fractions subcellulaires (métabolisme)</term>
<term>Génome fongique (MeSH)</term>
<term>Logiciel (MeSH)</term>
<term>Oomycetes (métabolisme)</term>
<term>Organites (métabolisme)</term>
<term>Protéines végétales (composition chimique)</term>
<term>Protéines végétales (métabolisme)</term>
<term>Signaux de triage des protéines (MeSH)</term>
<term>Séquence d'acides aminés (MeSH)</term>
<term>Tabac (métabolisme)</term>
<term>Transport des protéines (MeSH)</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Plant Proteins</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Protéines végétales</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Oomycetes</term>
<term>Organelles</term>
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<term>Plant Proteins</term>
<term>Subcellular Fractions</term>
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<term>Fractions subcellulaires</term>
<term>Oomycetes</term>
<term>Organites</term>
<term>Protéines végétales</term>
<term>Tabac</term>
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<keywords scheme="MESH" xml:lang="en"><term>Amino Acid Sequence</term>
<term>Genome, Fungal</term>
<term>Protein Sorting Signals</term>
<term>Protein Transport</term>
<term>Software</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Génome fongique</term>
<term>Logiciel</term>
<term>Signaux de triage des protéines</term>
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<front><div type="abstract" xml:lang="en">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/.</div>
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<Abstract><AbstractText>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/.</AbstractText>
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	Serveur d'exploration sur les effecteurs de la rouille
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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.

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