Evidence map›Paper›PMID 29410430›Full record

ArticleScientific reports2018

Novel global effector mining from the transcriptome of early life stages of the soybean cyst nematode Heterodera glycines.

Michael Gardner, Andi Dhroso, Nathan Johnson, Eric L Davis, Thomas J Baum, Dmitry Korkin, Melissa G Mitchum

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
8.4field-weighted citation impact, top 3% 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, 44 citations in OpenAlex.

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  15. SCNBase: a genomics portal for the soybean cyst nematode (Heterodera glycines).Database : the journal of biological databases and curation · 2019
    Article
  16. Article
  17. An atypical N-ethylmaleimide sensitive factor enables the viability of nematode-resistantProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  18. Article
  19. Comparative Genomics ofFrontiers in microbiology · 2018
    Article
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 1 country.

Michael GardnerDivision of Plant Sciences and Bond Life Sciences Center, University of Missouri, Columbia, USA.
Andi DhrosoDepartment of Computer Science and Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, USA.
Nathan JohnsonDepartment of Computer Science and Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, USA.
Eric L DavisDepartment of Entomology and Plant Pathology, North Carolina State University, Raleigh, USA.
Thomas J BaumDepartment of Plant Pathology and Microbiology, Iowa State University, Ames, USA.
Dmitry KorkinDepartment of Computer Science and Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, USA. dkorkin@wpi.edu.
Melissa G MitchumDivision of Plant Sciences and Bond Life Sciences Center, University of Missouri, Columbia, USA. goellnerm@missouri.edu.ORCID http://orcid.org/0000-0002-9086-6312
Worcester Polytechnic Institute · USUniversity of Missouri · USIowa State University · USNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean cyst nematode (SCN) Heterodera glycines is an obligate parasite that relies on the secretion of effector proteins to manipulate host cellular processes that favor the formation of a feeding site within host roots to ensure its survival. The sequence complexity and co-evolutionary forces acting upon these effectors remain unknown. Here we generated a de novo transcriptome assembly representing the early life stages of SCN in both a compatible and an incompatible host interaction to facilitate global effector mining efforts in the absence of an available annotated SCN genome. We then employed a dual effector prediction strategy coupling a newly developed nematode effector prediction tool, N-Preffector, with a traditional secreted protein prediction pipeline to uncover a suite of novel effector candidates. Our analysis distinguished between effectors that co-evolve with the host genotype and those conserved by the pathogen to maintain a core function in parasitism and demonstrated that alternative splicing is one mechanism used to diversify the effector pool. In addition, we confirmed the presence of viral and microbial inhabitants with molecular sequence information. This transcriptome represents the most comprehensive whole-nematode sequence currently available for SCN and can be used as a tool for annotation of expected genome assemblies.

Indexed as

TranscriptomeAlternative SplicingAnimalsGenome, HelminthGlycine maxHelminth ProteinsHost-Parasite InteractionsPlant RootsTylenchoideaHelminth Proteins

Identifiers

PMID29410430
PMCPMC5802810
OpenAlexW2806045771

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.