Evidence map›Paper›PMID 19290528›Full record

ArticlePlant cell reports2009

Identification and characterization of differentially expressed genes from Fagus sylvatica roots after infection with Phytophthora citricola.

Katja Schlink

Abstract read
PubMed Publisher
In one paragraph

Article in Plant cell reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Morphological and Molecular Identification ofPlants (Basel, Switzerland) · 2024
    Article
  2. Dual RNA-Sequencing Analysis of Resistant (International journal of molecular sciences · 2021
    Article
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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

1 author at 1 institution in 1 country.

Katja SchlinkForest Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, Freising, Germany. schlink@tum.de
Weihenstephan-Triesdorf University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytophthora species are major plant pathogens infecting herbaceous and woody plants including European beech, the dominant or co-dominant tree in temperate Europe and an economically important species. For the analysis of the interaction of Phytophthora citricola with Fagus sylvatica suppression subtractive hybridization was used to isolate transcripts induced during infection and 1,149 sequences were generated. Hybridizations with driver and tester populations demonstrated differential expression in infected roots as compared to controls and verify efficient enrichment of these cDNAs during subtraction. Up regulation of selected genes during pathogenesis demonstrated using RT-PCR is consistent with these results. Pathogenesis-related proteins formed the largest group among functionally categorized transcripts. Cell wall proteins and protein kinases were also frequently found. Several transcription factors were isolated that are reactive to pathogens or wounding in other plants. The library contained a number of jasmonic acid, salicylic acid and ethylene responsive genes as well as genes directly involved in signaling pathways. Besides a mechanistic interconnection among signaling pathways another factor explaining the activation of different pathways could be the hemibiotrophic life style of Phytophthora triggering different signals in both stages.

Indexed as

Expressed Sequence TagsFagusGene Expression Regulation, PlantGene LibraryMicrosatellite RepeatsPhytophthoraPlant DiseasesPlant RootsRNA, PlantSequence AlignmentSequence Analysis, DNAUp-RegulationRNA, Plant

Identifiers

PMID19290528
OpenAlexW1968056460

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.