Evidence map›Paper›PMID 16380840›Full record

ArticleParasitology research2006

Detection of putative secreted proteins in the plant-parasitic nematode Heterodera schachtii.

Bartel Vanholme, Makedonka Mitreva, Wim Van Criekinge, Marc Logghe, David Bird, James P McCarter, Godelieve Gheysen

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Article in Parasitology research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.6field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 50 citations in OpenAlex.

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  10. Multiple lateral gene transfers and duplications have promoted plant parasitism ability in nematodes.Proceedings of the National Academy of Sciences of the United States of America · 2010
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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

7 authors at 4 institutions in 2 countries.

Bartel VanholmeMolecular Biotechnology Department, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, 9000, Ghent, Belgium.
Makedonka Mitreva
Wim Van Criekinge
Marc Logghe
David Bird
James P McCarter
Godelieve Gheysen
Ghent University · BEWashington University in St. Louis · USAblynx (Belgium) · BENorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The beet cyst nematode Heterodera schachtii is an important pathogen worldwide, but its molecular characterization has been limited to studying individual genes of interest. We undertook a high-throughput genomic approach and drastically increased the number of available sequences for this parasite. A total of 2,662 expressed sequence tags were grouped into 1,212 clusters representing a nonredundant catalog of H. schachtii genes. Implementing a bioinformatic workflow, we identified 50 sequences coding for candidate secreted proteins. All of these contain a putative signal peptide required for entry into the secretory pathway and lack any transmembrane domain. Included are previously postulated cell-wall-degrading enzymes and other parasitism-related genes. Moreover, we provide the first report of an arabinogalactan endo-1,4-beta-galactosidase enzyme (EC 3.2.1.89) in animals. As sequence data increase at a rapid rate, developing high-throughput genomic screening is a necessity. The in silico approach described here is an effective way to identify putative secreted proteins and prioritize candidates for further studies.

Indexed as

AnimalsComputational BiologyContig MappingDNA, HelminthExpressed Sequence TagsGene LibraryGlycoside HydrolasesHelminth ProteinsPlantsProtein Sorting SignalsProtein Structure, TertiaryTylenchoideaarabinogalactan endo-1,4-beta-galactosidaseDNA, HelminthGlycoside HydrolasesHelminth ProteinsProtein Sorting Signals

Identifiers

PMID16380840
OpenAlexW1964064525

What OpenQuestion holds

Textmetadata
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.