Evidence map›Paper›PMID 19183474›Full record

ArticleBMC genomics2009

Sequence mining and transcript profiling to explore cyst nematode parasitism.

Axel A Elling, Makedonka Mitreva, Xiaowu Gai, John Martin, Justin Recknor, Eric L Davis, Richard S Hussey, Dan Nettleton, James P McCarter, Thomas J Baum

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.7field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 52 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Axel A EllingInterdepartmental Genetics Program, Iowa State University, Ames, IA 50011, USA. axel.elling@yale.edu
Makedonka Mitreva
Xiaowu Gai
John Martin
Justin Recknor
Eric L Davis
Richard S Hussey
Dan Nettleton
James P McCarter
Thomas J Baum
Iowa State University · USWashington University in St. Louis · USChildren's Hospital of Philadelphia · USEli Lilly (United States) · USNorth Carolina State University · USUniversity of Georgia · US

Funding

A GENOMIC APPROACH TO PARASITES FROM THE PHYLUM NEMATODAU01AI046593 · NIAID · WASHINGTON UNIVERSITY · PI MITREVA, MAKEDONKA · 2000 to 2007
$4.0M
NIAID NIH HHS AI46593NIAID NIH HHS U01 AI046593
6 · The paper itself

Abstract

backgroundCyst nematodes are devastating plant parasites that become sedentary within plant roots and induce the transformation of normal plant cells into elaborate feeding cells with the help of secreted effectors, the parasitism proteins. These proteins are the translation products of parasitism genes and are secreted molecular tools that allow cyst nematodes to infect plants.

resultsWe present here the expression patterns of all previously described parasitism genes of the soybean cyst nematode, Heterodera glycines, in all major life stages except the adult male. These insights were gained by analyzing our gene expression dataset from experiments using the Affymetrix Soybean Genome Array GeneChip, which contains probeset sequences for 6,860 genes derived from preparasitic and parasitic H. glycines life stages. Targeting the identification of additional H. glycines parasitism-associated genes, we isolated 633 genes encoding secretory proteins using algorithms to predict secretory signal peptides. Furthermore, because some of the known H. glycines parasitism proteins have strongest similarity to proteins of plants and microbes, we searched for predicted protein sequences that showed their highest similarities to plant or microbial proteins and identified 156 H. glycines genes, some of which also contained a signal peptide. Analyses of the expression profiles of these genes allowed the formulation of hypotheses about potential roles in parasitism. This is the first study combining sequence analyses of a substantial EST dataset with microarray expression data of all major life stages (except adult males) for the identification and characterization of putative parasitism-associated proteins in any parasitic nematode.

conclusionWe have established an expression atlas for all known H. glycines parasitism genes. Furthermore, in an effort to identify additional H. glycines genes with putative functions in parasitism, we have reduced the currently known 6,860 H. glycines genes to a pool of 788 most promising candidate genes (including known parasitism genes) and documented their expression profiles. Using our approach to pre-select genes likely involved in parasitism now allows detailed functional analyses in a manner not feasible for larger numbers of genes. The generation of the candidate pool described here is an important enabling advance because it will significantly facilitate the unraveling of fascinating plant-animal interactions and deliver knowledge that can be transferred to other pathogen-host systems. Ultimately, the exploration of true parasitism genes verified from the gene pool delineated here will identify weaknesses in the nematode life cycle that can be exploited by novel anti-nematode efforts.

Indexed as

Transcription, GeneticAnimalsExpressed Sequence TagsGene Expression ProfilingGenes, HelminthGenome, HelminthGlycine maxHistone DeacetylasesHost-Parasite InteractionsTylenchoideaHistone Deacetylases

Identifiers

PMID19183474
PMCPMC2640417
OpenAlexW2115133456

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.