Evidence map›Paper›PMID 28718511›Full record

ArticlePlant biotechnology journal2018

Genomewide identification of genes involved in the potato response to drought indicates functional evolutionary conservation with Arabidopsis plants.

Marcin Pieczynski, Anna Wyrzykowska, Kaja Milanowska, Dominika Boguszewska-Mankowska, Barbara Zagdanska, Wojciech Karlowski, Artur Jarmolowski, Zofia Szweykowska-Kulinska

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Overexpression ofInternational journal of molecular sciences · 2024
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  11. Article
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  13. Article
  14. Expression of PotatoFrontiers in plant science · 2022
    Article
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  18. 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

8 authors at 3 institutions in 1 country.

Marcin PieczynskiDepartment of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Anna WyrzykowskaDepartment of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Kaja MilanowskaDepartment of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Dominika Boguszewska-MankowskaPotato Agronomy Department, Plant Breeding and Acclimatization Institute, National Research Institute, Division Jadwisin, Poland.
Barbara ZagdanskaDepartment of Biochemistry, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warsaw, Poland.
Wojciech KarlowskiDepartment of Computational Biology, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Artur JarmolowskiDepartment of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Zofia Szweykowska-KulinskaDepartment of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, Poland.
Adam Mickiewicz University in Poznań · PLPlant Breeding and Acclimatization Institute - National Research Institute · PLUniversity of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potato is one of the four most important food crop plants worldwide and is strongly affected by drought. The following two pairs of potato cultivars, which are related in ancestry but show different drought tolerances, were chosen for comparative gene expression studies: Gwiazda/Oberon and Tajfun/Owacja. Comparative RNA-seq analyses of gene expression differences in the transcriptomes obtained from drought-tolerant versus drought-sensitive plants during water shortage conditions were performed. The 23 top-ranking genes were selected, 22 of which are described here as novel potato drought-responsive genes. Moreover, all but one of the potato genes selected have homologues in the Arabidopsis genome. Of the seven tested A. thaliana mutants with altered expression of the selected homologous genes, compared to the wild-type Arabidopsis plants, six showed an improved tolerance to drought. These genes encode carbohydrate transporter, mitogen-activated protein kinase kinase kinase 15 (MAPKKK15), serine carboxypeptidase-like 19 protein (SCPL19), armadillo/beta-catenin-like repeat-containing protein, high-affinity nitrate transporter 2.7 and nonspecific lipid transfer protein type 2 (nsLPT). The evolutionary conservation of the functions of the selected genes in the plant response to drought confirms the importance of these identified potato genes in the ability of plants to cope with water shortage conditions. Knowledge regarding these gene functions can be used to generate potato cultivars that are resistant to unfavourable conditions. The approach used in this work and the obtained results allowed for the identification of new players in the plant response to drought.

Indexed as

DroughtsArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantPlant ProteinsPlants, Genetically ModifiedSolanum tuberosumArabidopsis ProteinsPlant ProteinsArabidopsis homologuesfunctional confirmation of the selected gene importance to droughtpotato drought-responsive genesRNA-seqSolanum tuberosumtranscriptomics

Identifiers

PMID28718511
PMCPMC5787840
OpenAlexW2736519455

What OpenQuestion holds

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LicenceCC BY
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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.