Evidence map›Paper›PMID 22772750›Full record

ArticleJournal of plant research2013

Identification of early induced genes upon water deficit in potato cell cultures by cDNA-AFLP.

Alfredo Ambrosone, Michele Di Giacomo, Antonella Leone, M Stefania Grillo, Antonello Costa

Abstract read
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In one paragraph

Article in Journal of plant research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Alfredo AmbrosoneNational Research Council of Italy, Institute of Plant Genetics (CNR-IGV), Via Università 133, Portici, Naples, Italy.
Michele Di Giacomo
Antonella Leone
M Stefania Grillo
Antonello Costa
Institute of Plant Genetics, Polish Academy of Sciences · PLNational Research Council · ITUniversity of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For plant cells in the early phases of water stress exposure, the genes induced under such conditions play a key role in detecting and responding to water deficit. In this study, potato cell suspensions were used as a simplified model system to dissect early molecular changes upon low water potential. In particular, the cDNA-amplified fragment length polymorphism approach was used to capture genes rapidly activated in potato cell cultures in response to water deficit induced by short-term exposure (up to 1 h) to polyethylene glycol. Selective amplifications with 38 primer combinations allowed the visualization of about 167 transcript-derived fragments (TDFs) differentially expressed upon exposure to low water potential. The gene expression pattern of 18 up-regulated genes was further investigated by semi-quantitative reverse transcriptase polymerase chain reaction analysis. Sequencing and similarity analysis revealed that TDFs present homologies chiefly with proteins involved in chaperone activity and protein degradation (hsps, proteinase precursor), in protein synthesis (elongation factor, ribosomal proteins) and in the ROS scavenging pathway (phenylalanine ammonia-lyase, peroxidase). Our findings might contribute to describe the potential role of genes activated in the early phases of plant response to drought.

Indexed as

Adaptation, PhysiologicalAmplified Fragment Length Polymorphism AnalysisCells, CulturedDNA, ComplementaryDroughtsGene Expression Regulation, PlantGenes, PlantSolanum tuberosumStress, PhysiologicalWaterDNA, ComplementaryWater

Identifiers

PMID22772750
OpenAlexW2049344399

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.