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Selection and validation of reference genes for RT-qPCR analysis in potato under abiotic stress

Overview of attention for article published in Plant Methods, October 2017
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Title
Selection and validation of reference genes for RT-qPCR analysis in potato under abiotic stress
Published in
Plant Methods, October 2017
DOI 10.1186/s13007-017-0238-7
Pubmed ID
Authors

Xun Tang, Ning Zhang, Huaijun Si, Alejandro Calderón-Urrea

Abstract

Real-time quantitative PCR (RT-qPCR) is the most commonly used method for accurately detecting gene expression patterns. As part of RT-qPCR analysis, normalization of the data requires internal control gene(s) that display uniform expression under different biological conditions. However, no invariable internal control gene exists, and therefore more than one reference gene is needed to normalize RT-qPCR results. Identification of stable reference genes in potato will improve assay accuracy for selecting stress-tolerance genes and identifying molecular mechanisms conferring stress tolerance in this species. In the experiment, we assessed the expression of eight candidate internal control genes, namely elongation factor-1alpha (EF1α), actin, tubulin, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), adenine phosphoribosyl transferase (APRT), 60S ribosomal protein L8 (L8), Cullin 3A (CUL3A), and exocyst complex component sec3 (sec3), in a diverse set of potato samples representing drought stress and osmotic stress challenges, and using geNorm, NormFinder, BestKeeper and RefFinder softwares. The results indicated that EF1α and sec3 were the most stably expressed genes in the potato under drought and osmotic stress conditions. This work will facilitate future work on gene expression studies in potato and also benefit other species of the Solanaceae, such as tomato.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Researcher 13 14%
Student > Bachelor 13 14%
Student > Master 10 11%
Student > Postgraduate 6 6%
Other 15 16%
Unknown 20 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 40%
Biochemistry, Genetics and Molecular Biology 28 30%
Unspecified 2 2%
Environmental Science 1 1%
Nursing and Health Professions 1 1%
Other 3 3%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Plant Methods
#961
of 1,088 outputs
Outputs of similar age
#249,550
of 325,925 outputs
Outputs of similar age from Plant Methods
#30
of 34 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,088 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.