Evidence map›Paper›PMID 21569240›Full record

ArticleBMC genomics2011

Analysis of gene expression in soybean (Glycine max) roots in response to the root knot nematode Meloidogyne incognita using microarrays and KEGG pathways.

Heba M M Ibrahim, Parsa Hosseini, Nadim W Alkharouf, Ebtissam H A Hussein, Abd El Kader Y Gamal El-Din, Mohammed A M Aly, Benjamin F Matthews

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Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

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  13. Genomics of Plant Disease Resistance in Legumes.Frontiers in plant science · 2019
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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.

Heba M M IbrahimUnited States Department of Agriculture, Plant Sciences Institute, Beltsville, MD 20705, USA.
Parsa Hosseini
Nadim W Alkharouf
Ebtissam H A Hussein
Abd El Kader Y Gamal El-Din
Mohammed A M Aly
Benjamin F Matthews

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoot-knot nematodes are sedentary endoparasites that can infect more than 3000 plant species. Root-knot nematodes cause an estimated $100 billion annual loss worldwide. For successful establishment of the root-knot nematode in its host plant, it causes dramatic morphological and physiological changes in plant cells. The expression of some plant genes is altered by the nematode as it establishes its feeding site.

resultsWe examined the expression of soybean (Glycine max) genes in galls formed in roots by the root-knot nematode, Meloidogyne incognita, 12 days and 10 weeks after infection to understand the effects of infection of roots by M. incognita. Gene expression was monitored using the Affymetrix Soybean GeneChip containing 37,500 G. max probe sets. Gene expression patterns were integrated with biochemical pathways from the Kyoto Encyclopedia of Genes and Genomes using PAICE software. Genes encoding enzymes involved in carbohydrate and cell wall metabolism, cell cycle control and plant defense were altered.

conclusionsA number of different soybean genes were identified that were differentially expressed which provided insights into the interaction between M. incognita and soybean and into the formation and maintenance of giant cells. Some of these genes may be candidates for broadening plants resistance to root-knot nematode through over-expression or silencing and require further examination.

Indexed as

Databases, GeneticAnimalsCarbonCell WallEnergy MetabolismGene Expression ProfilingGenes, PlantGlycine maxMitosisOligonucleotide Array Sequence AnalysisPlant ProteinsPlant RootsPlant TumorsPolymerase Chain ReactionReproducibility of ResultsSoftwareCarbonPlant Proteins

Identifiers

PMID21569240
PMCPMC3225080

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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.