Evidence map›Paper›PMID 33873491›Full record

ArticleThe New phytologist2004

The response of the poplar transcriptome to wounding and subsequent infection by a viral pathogen.

Caroline M Smith, Marisa Rodriguez-Buey, Jan Karlsson, Malcolm M Campbell

Abstract read
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In one paragraph

Article in The New phytologist, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.2field-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

16 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  3. Organic Farming Sharpens Plant Defenses in the Field.Frontiers in sustainable food systems · 2020
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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

4 authors at 2 institutions in 2 countries.

Caroline M SmithDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.
Marisa Rodriguez-BueyUmeå Plant Science Centre, Department of Plant Physiology, Umeå University, SE-901 87 Umeå, Sweden.
Jan KarlssonUmeå Plant Science Centre, Department of Plant Physiology, Umeå University, SE-901 87 Umeå, Sweden.
Malcolm M CampbellDepartment of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.
Umeå Plant Science Centre · SEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

•  The Populus-Poplar Mosaic Virus (PopMV) pathosystem is the best characterized of all forest tree-virus interactions. The details of the host response to this virus are completely unknown. •  The transcript abundance for approximately 10 000 Populus genes was simultaneously interrogated using spotted cDNA microarrays. Relative transcript abundance was compared for RNA extracted from Populus leaves that were untreated, mock-inoculated leaves that were wounded by leaf abrasion and inoculated leaves that were abraded and then infected by virus. •  Statistical analysis of the microarray data identified suites of genes that exhibited increased or decreased transcript abundance in response to wounding, systemic PopMV infection or both together. Genes implicated in programmed cell death, and cell wall reinforcement were a major feature of the wound response, whereas genes encoding metallothionein-like proteins, and proteins implicated in cell wall remodelling were a major feature of the PopMV response. •  The identification of wound- and PopMV-regulated genes opens the door for future studies aimed at testing specific hypotheses related to the mechanisms used by forest trees to contend with stress.

Indexed as

microarrayPoplar Mosaic VirusPopulustranscriptiontranscriptomewounding

Identifiers

PMID33873491
OpenAlexW2059488995

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.