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Selection and evaluation of reference genes for qRT-PCR analysis in Euscaphis konishii Hayata based on transcriptome data

Overview of attention for article published in Plant Methods, June 2018
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Title
Selection and evaluation of reference genes for qRT-PCR analysis in Euscaphis konishii Hayata based on transcriptome data
Published in
Plant Methods, June 2018
DOI 10.1186/s13007-018-0311-x
Pubmed ID
Authors

Wenxian Liang, Xiaoxing Zou, Rebeca Carballar-Lejarazú, Lingjiao Wu, Weihong Sun, Xueyuan Yuan, Songqing Wu, Pengfei Li, Hui Ding, Lin Ni, Wei Huang, Shuangquan Zou

Abstract

Quantitative real-time reverse transcription-polymerase chain reaction has been widely used in gene expression analysis, however, to have reliable and accurate results, reference genes are necessary to normalize gene expression under different experimental conditions. Several reliable reference genes have been reported in plants of Traditional Chinese Medicine, but none have been identified for Euscaphis konishii Hayata. In this study, 12 candidate reference genes, including 3 common housekeeping genes and 9 novel genes based on E. konishii Hayata transcriptome data were selected and analyzed in different tissues (root, branch, leaf, capsule and seed), capsule and seed development stages. Expression stability was calculated using geNorm and NormFinder, the minimal number of reference genes required for accurate normalization was calculated by Vn/Vn + 1 using geNorm. EkEEF-5A-1 and EkADF2 were the two most stable reference genes for all samples, while EkGSTU1 and EkGAPDH were the most stable reference genes for tissue samples. For seed development stages, EkGAPDH and EkEEF-5A-1 were the most stable genes, whereas EkGSTU1 and EkGAPDH were identified as the two most stable genes in the capsule development stages. Two reference genes were sufficient to normalize gene expression across all sample sets. Results of this study revealed that suitable reference genes should be selected for different experimental samples, and not all the common reference genes are suitable for different tissue samples and/or experimental conditions. In this study, we present the first data of reference genes selection for E. konishii Hayata based on transcriptome data, our data will facilitate further studies in molecular biology and gene function on E. konishii Hayata and other closely related species.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 9%
Researcher 1 4%
Other 1 4%
Unknown 10 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 22%
Biochemistry, Genetics and Molecular Biology 4 17%
Chemistry 1 4%
Unknown 13 57%
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 04 June 2018.
All research outputs
#20,474,722
of 25,163,238 outputs
Outputs from Plant Methods
#1,075
of 1,237 outputs
Outputs of similar age
#262,577
of 336,526 outputs
Outputs of similar age from Plant Methods
#28
of 29 outputs
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