Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean

Due to its accuracy, sensitivity and high throughput, real time quantitative PCR (RT-qPCR) has been widely used in analysing gene expression. The quality of data from such analyses is affected by the quality of reference genes used. Expression stabilities for nine candidate reference genes widely us...

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Autores principales: Ma, Shuhua, Niu, Hongwei, Liu, Chunji, Zhang, Jie, Hou, Chunyan, Wang, Dongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790784/
https://www.ncbi.nlm.nih.gov/pubmed/24124481
http://dx.doi.org/10.1371/journal.pone.0075271
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author Ma, Shuhua
Niu, Hongwei
Liu, Chunji
Zhang, Jie
Hou, Chunyan
Wang, Dongmei
author_facet Ma, Shuhua
Niu, Hongwei
Liu, Chunji
Zhang, Jie
Hou, Chunyan
Wang, Dongmei
author_sort Ma, Shuhua
collection PubMed
description Due to its accuracy, sensitivity and high throughput, real time quantitative PCR (RT-qPCR) has been widely used in analysing gene expression. The quality of data from such analyses is affected by the quality of reference genes used. Expression stabilities for nine candidate reference genes widely used in soybean were evaluated under different stresses in this study. Our results showed that EF1A and ACT11 were the best under salinity stress, TUB4, TUA5 and EF1A were the best under drought stress, ACT11 and UKN2 were the best under dark treatment, and EF1B and UKN2 were the best under virus infection. EF1B and UKN2 were the top two genes which can be reliably used in all of the stress conditions assessed.
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spelling pubmed-37907842013-10-11 Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean Ma, Shuhua Niu, Hongwei Liu, Chunji Zhang, Jie Hou, Chunyan Wang, Dongmei PLoS One Research Article Due to its accuracy, sensitivity and high throughput, real time quantitative PCR (RT-qPCR) has been widely used in analysing gene expression. The quality of data from such analyses is affected by the quality of reference genes used. Expression stabilities for nine candidate reference genes widely used in soybean were evaluated under different stresses in this study. Our results showed that EF1A and ACT11 were the best under salinity stress, TUB4, TUA5 and EF1A were the best under drought stress, ACT11 and UKN2 were the best under dark treatment, and EF1B and UKN2 were the best under virus infection. EF1B and UKN2 were the top two genes which can be reliably used in all of the stress conditions assessed. Public Library of Science 2013-10-04 /pmc/articles/PMC3790784/ /pubmed/24124481 http://dx.doi.org/10.1371/journal.pone.0075271 Text en © 2013 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ma, Shuhua
Niu, Hongwei
Liu, Chunji
Zhang, Jie
Hou, Chunyan
Wang, Dongmei
Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title_full Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title_fullStr Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title_full_unstemmed Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title_short Expression Stabilities of Candidate Reference Genes for RT-qPCR under Different Stress Conditions in Soybean
title_sort expression stabilities of candidate reference genes for rt-qpcr under different stress conditions in soybean
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790784/
https://www.ncbi.nlm.nih.gov/pubmed/24124481
http://dx.doi.org/10.1371/journal.pone.0075271
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