Evidence map›Paper›PMID 27308855›Full record

ArticlePloS one2016

Identification of Reference Genes for Quantitative Gene Expression Studies in a Non-Model Tree Pistachio (Pistacia vera L.).

Maryam Moazzam Jazi, Effat Ghadirzadeh Khorzoghi, Christopher Botanga, Seyed Mahdi Seyedi

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Article in PloS one, 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

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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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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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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

4 authors.

Maryam Moazzam JaziPlant Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Effat Ghadirzadeh KhorzoghiPlant Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Christopher BotangaDepartment of Biological Sciences, Chicago State University, Chicago, Illinois, United States of America.
Seyed Mahdi SeyediPlant Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tree species, Pistacia vera (P. vera) is an important commercial product that is salt-tolerant and long-lived, with a possible lifespan of over one thousand years. Gene expression analysis is an efficient method to explore the possible regulatory mechanisms underlying these characteristics. Therefore, having the most suitable set of reference genes is required for transcript level normalization under different conditions in P. vera. In the present study, we selected eight widely used reference genes, ACT, EF1α, α-TUB, β-TUB, GAPDH, CYP2, UBQ10, and 18S rRNA. Using qRT-PCR their expression was assessed in 54 different samples of three cultivars of P. vera. The samples were collected from different organs under various abiotic treatments (cold, drought, and salt) across three time points. Several statistical programs (geNorm, NormFinder, and BestKeeper) were applied to estimate the expression stability of candidate reference genes. Results obtained from the statistical analysis were then exposed to Rank aggregation package to generate a consensus gene rank. Based on our results, EF1α was found to be the superior reference gene in all samples under all abiotic treatments. In addition to EF1α, ACT and β-TUB were the second best reference genes for gene expression analysis in leaf and root. We recommended β-TUB as the second most stable gene for samples under the cold and drought treatments, while ACT holds the same position in samples analyzed under salt treatment. This report will benefit future research on the expression profiling of P. vera and other members of the Anacardiaceae family.

Indexed as

Gene Expression Regulation, PlantGenes, EssentialGenes, PlantActinsAdaptation, PhysiologicalCold TemperatureDroughtsPeptide Elongation Factor 1PistaciaPlant LeavesPlant RootsReference StandardsReverse Transcriptase Polymerase Chain ReactionSalt ToleranceSodium ChlorideStress, PhysiologicalActinsPeptide Elongation Factor 1Sodium ChlorideTubulin

Identifiers

PMID27308855
PMCPMC4911069

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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.