Evidence map›Paper›PMID 35701429›Full record

ArticleScientific data2022

Genotypic and tissue-specific variation of Populus nigra transcriptome profiles in response to drought.

Christian Eckert, Henning Wildhagen, Maria João Paulo, Simone Scalabrin, Johannes Ballauff, Sabine K Schnabel, Vera Vendramin, Joost J B Keurentjes, Marie-Béatrice Bogeat-Triboulot, Gail Taylor and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Christian Eckert *Forest Botany and Tree Physiology, University of Goettingen, Büsgenweg 2, Göttingen, Germany.ORCID 0000-0002-8698-9977
Henning Wildhagen *HAWK University of Applied Sciences and Arts, Faculty of Resource Management, Büsgenweg 1a, 37077, Göttingen, Germany. henning.wildhagen@hawk.de.
Maria João PauloBiometris, Wageningen UR Wageningen Plant Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.
Simone ScalabrinIGA Technology Services, via Jacopo Linussio 51, Udine, Italy.
Johannes BallauffForest Botany and Tree Physiology, University of Goettingen, Büsgenweg 2, Göttingen, Germany.
Sabine K SchnabelBiometris, Wageningen UR Wageningen Plant Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.
Vera VendraminIGA Technology Services, via Jacopo Linussio 51, Udine, Italy.
Joost J B KeurentjesLaboratory of Genetics, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.
Marie-Béatrice Bogeat-TriboulotUniversité de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, France.
Gail TaylorDepartment of Plant Sciences, University of California, One Shields Ave, Davis, CA, USA.ORCID 0000-0001-8470-6390
Andrea PolleForest Botany and Tree Physiology, University of Goettingen, Büsgenweg 2, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is one of the most important challenges for mankind in the far and near future. In this regard, sustainable production of woody crops on marginal land with low water availability is a major challenge to tackle. This dataset is part of an experiment, in which we exposed three genetically differentiated genotypes of Populus nigra originating from contrasting natural habitats to gradually increasing moderate drought. RNA sequencing was performed on fine roots, developing xylem and leaves of those three genotypes under control and moderate drought conditions in order to get a comprehensive dataset on the transcriptional changes at the whole plant level under water limiting conditions. This dataset has already provided insight in the transcriptional control of saccharification potential of the three Populus genotypes under drought conditions and we suggest that our data will be valuable for further in-depth analysis regarding candidate gene identification or, on a bigger scale, for meta-transcriptome analysis.

Indexed as

PopulusTranscriptomeClimate ChangeDroughtsGene Expression Regulation, PlantGenotypeWaterWater

Identifiers

PMID35701429
PMCPMC9197931

What OpenQuestion holds

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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.