Evidence map›Paper›PMID 25774904›Full record

ArticlePloS one2015

Identification of a novel reference gene for apple transcriptional profiling under postharvest conditions.

Tatiane Timm Storch, Camila Pegoraro, Taciane Finatto, Vera Quecini, Cesar Valmor Rombaldi, César Luis Girardi

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

6 authors.

Tatiane Timm StorchEmpresa Brasileira de Pesquisa Agropecuária Uva e Vinho, Bento Gonçalves, Brazil; Universidade Federal de Pelotas, Pelotas, Brazil.
Camila PegoraroEmpresa Brasileira de Pesquisa Agropecuária Uva e Vinho, Bento Gonçalves, Brazil.
Taciane FinattoEmpresa Brasileira de Pesquisa Agropecuária Uva e Vinho, Bento Gonçalves, Brazil.
Vera QueciniEmpresa Brasileira de Pesquisa Agropecuária Uva e Vinho, Bento Gonçalves, Brazil.
Cesar Valmor RombaldiUniversidade Federal de Pelotas, Pelotas, Brazil.
César Luis GirardiEmpresa Brasileira de Pesquisa Agropecuária Uva e Vinho, Bento Gonçalves, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse Transcription quantitative PCR (RT-qPCR) is one of the most important techniques for gene expression profiling due to its high sensibility and reproducibility. However, the reliability of the results is highly dependent on data normalization, performed by comparisons between the expression profiles of the genes of interest against those of constitutively expressed, reference genes. Although the technique is widely used in fruit postharvest experiments, the transcription stability of reference genes has not been thoroughly investigated under these experimental conditions. Thus, we have determined the transcriptional profile, under these conditions, of three genes commonly used as reference--ACTIN (MdACT), PROTEIN DISULPHIDE ISOMERASE (MdPDI) and UBIQUITIN-CONJUGATING ENZYME E2 (MdUBC)--along with two novel candidates--HISTONE 1 (MdH1) and NUCLEOSSOME ASSEMBLY 1 PROTEIN (MdNAP1). The expression profile of the genes was investigated throughout five experiments, with three of them encompassing the postharvest period and the other two, consisting of developmental and spatial phases. The transcriptional stability was comparatively investigated using four distinct software packages: BestKeeper, NormFinder, geNorm and DataAssist. Gene ranking results for transcriptional stability were similar for the investigated software packages, with the exception of BestKeeper. The classic reference gene MdUBC ranked among the most stably transcribed in all investigated experimental conditions. Transcript accumulation profiles for the novel reference candidate gene MdH1 were stable throughout the tested conditions, especially in experiments encompassing the postharvest period. Thus, our results present a novel reference gene for postharvest experiments in apple and reinforce the importance of checking the transcription profile of reference genes under the experimental conditions of interest.

Indexed as

Gene Expression Regulation, PlantTranscriptomeComputational BiologyGene Expression ProfilingMalusRNA Stability

Identifiers

PMID25774904
PMCPMC4361542

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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.