Evidence map›Paper›PMID 26129768›Full record

ArticleMolecular genetics and genomics : MGG2016

Identification of suitable grapevine reference genes for qRT-PCR derived from heterologous species.

Rebecca M Tashiro, Joshua G Philips, Christopher S Winefield

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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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  8. The Rapid Methylation of T-DNAs UponFrontiers in plant science · 2019
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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

3 authors.

Rebecca M TashiroDepartment of Wine, Food and Molecular Biosciences, Lincoln University, PO Box 85084, Lincoln, 7647, Canterbury, New Zealand.
Joshua G PhilipsDepartment of Wine, Food and Molecular Biosciences, Lincoln University, PO Box 85084, Lincoln, 7647, Canterbury, New Zealand.
Christopher S WinefieldDepartment of Wine, Food and Molecular Biosciences, Lincoln University, PO Box 85084, Lincoln, 7647, Canterbury, New Zealand. chris.winefield@lincoln.ac.nz.ORCID http://orcid.org/0000-0002-6262-6370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification and validation of suitable reference genes that exhibit robust transcriptional stability across many sample types is an absolute requirement of all qRT-PCR experiments. Often, however, only small numbers of reference genes, validated across limited sample types, are available for non-model species. This points to a clear need to assess and validate a wider range of potential reference genes than is currently available. We therefore looked to test and validate a large number of potential reference genes across a wide range of tissue types and treatments to determine the applicability of these reference genes for use in grapevine and other non-model plant species. Potential reference genes were selected based on stability of gene transcription in the model plant species Arabidopsis or due to their common use in the grapevine community. The selected reference genes were analyzed across two datasets consisting of a range of either 'Sauvignon blanc' or 'Pinot noir' tissues. A total of 11 potential reference genes were screened across the two datasets. Gene stability was analyzed by GeNorm, a widely used Excel application, or an ANOVA-based method developed in red clover. Both analysis methods showed that all 11 potential reference genes are stably expressed in the datasets tested, but the rankings of gene stability differed based on the datasets and analysis method used. Furthermore, the transcript stability of these genes, initially identified in Arabidopsis and now validated in grapevine, suggests applicability across a wide range of non-model plant species in addition to their utility in grapevine.

Indexed as

ArabidopsisGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantPlant LeavesReverse Transcriptase Polymerase Chain ReactionTranscription, GeneticVitisGrapevineMIQEqRT-PCRReference genes

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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.