Evidence map›Paper›PMID 28300209›Full record

ArticleScientific reports2017

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

Jana Sperschneider, Ann-Maree Catanzariti, Kathleen DeBoer, Benjamin Petre, Donald M Gardiner, Karam B Singh, Peter N Dodds, Jennifer M Taylor

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

219 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. TheInternational journal of molecular sciences · 2026
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  10. CabioRxiv : the preprint server for biology · 2026
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  11. Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026
    Review
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159 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jana SperschneiderCentre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia.
Ann-Maree CatanzaritiDivision of Plant Sciences, Research School of Biology, The Australian National University, Acton, ACT, Australia.
Kathleen DeBoerThe UWA Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.
Benjamin PetreThe Sainsbury Laboratory, Norwich Research Park, Norwich, United Kingdom.
Donald M GardinerQueensland Bioscience Precinct, CSIRO Agriculture and Food, Brisbane, QLD, Australia.
Karam B SinghCentre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia.
Peter N DoddsBlack Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia.
Jennifer M TaylorBlack Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/.

Indexed as

SoftwareAmino Acid SequenceGenome, FungalNicotianaOomycetesOrganellesPlant CellsPlant ProteinsProtein Sorting SignalsProtein TransportSubcellular FractionsPlant ProteinsProtein Sorting Signals

Identifiers

PMID28300209
PMCPMC5353544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.