Cargando…

Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments

Background: Oxytropis ochrocephala Bunge, an indigenous locoweed species in China, poses great threats to livestock on grasslands. There is a need for further genetic study in the plants per se, for understanding the basis of its acclimation mechanism in various unfavorable environmental conditions...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhuang, Huihui, Fu, Yanping, He, Wei, Wang, Lin, Wei, Yahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484982/
https://www.ncbi.nlm.nih.gov/pubmed/26175743
http://dx.doi.org/10.3389/fpls.2015.00475
_version_ 1782378724943986688
author Zhuang, Huihui
Fu, Yanping
He, Wei
Wang, Lin
Wei, Yahui
author_facet Zhuang, Huihui
Fu, Yanping
He, Wei
Wang, Lin
Wei, Yahui
author_sort Zhuang, Huihui
collection PubMed
description Background: Oxytropis ochrocephala Bunge, an indigenous locoweed species in China, poses great threats to livestock on grasslands. There is a need for further genetic study in the plants per se, for understanding the basis of its acclimation mechanism in various unfavorable environmental conditions and to implement effective control measures. Quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) is the most commonly used method for gene expression analysis. To facilitate gene expression studies and obtain more accurate qRT-PCR data, normalization relative to stable reference genes is required. The aim of this study was to select the most stable reference genes for transcriptional analysis in O. ochrocephala. Results: We selected 12 candidate reference genes, 18S ribosomal RNA (18S RNA), actin2/7 (ACT7), β-actin (ACTB), actin101 (ACT101), actin11 (ACT11), β-tubulin (TUB), α-tubulin (TUA), glyceraldehyde-3-phosphate dehydrogenase-1 (GAPDH1), GAPDH2, metallothionein-like protein (MET), fructose-bisphosphate aldolase (FBA) and histone H3 (HIS), from the transcriptome datasets of O. ochrocephala and determined the suitability by analyzing their expression levels when exposed to a range of abiotic stress conditions. By employing software packages including geNorm, NormFinder and BestKeeper, HIS, ACT7, and ACT101 were assessed as the most suitable set for normalization in all samples. When normalized with the most stable reference genes, the expression patterns of the three target genes were in accordance with those in the transcriptome data, indicating that the reference genes selected in this study are suitable. Conclusions: The study provided appropriate reference genes for accurate normalization in qRT-PCR analysis in O. ochrocephala and emphasized the importance of validating reference genes for gene expression analysis under specific experimental condition. The usage of inappropriate reference gene would cause misinterpretation.
format Online
Article
Text
id pubmed-4484982
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-44849822015-07-14 Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments Zhuang, Huihui Fu, Yanping He, Wei Wang, Lin Wei, Yahui Front Plant Sci Plant Science Background: Oxytropis ochrocephala Bunge, an indigenous locoweed species in China, poses great threats to livestock on grasslands. There is a need for further genetic study in the plants per se, for understanding the basis of its acclimation mechanism in various unfavorable environmental conditions and to implement effective control measures. Quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) is the most commonly used method for gene expression analysis. To facilitate gene expression studies and obtain more accurate qRT-PCR data, normalization relative to stable reference genes is required. The aim of this study was to select the most stable reference genes for transcriptional analysis in O. ochrocephala. Results: We selected 12 candidate reference genes, 18S ribosomal RNA (18S RNA), actin2/7 (ACT7), β-actin (ACTB), actin101 (ACT101), actin11 (ACT11), β-tubulin (TUB), α-tubulin (TUA), glyceraldehyde-3-phosphate dehydrogenase-1 (GAPDH1), GAPDH2, metallothionein-like protein (MET), fructose-bisphosphate aldolase (FBA) and histone H3 (HIS), from the transcriptome datasets of O. ochrocephala and determined the suitability by analyzing their expression levels when exposed to a range of abiotic stress conditions. By employing software packages including geNorm, NormFinder and BestKeeper, HIS, ACT7, and ACT101 were assessed as the most suitable set for normalization in all samples. When normalized with the most stable reference genes, the expression patterns of the three target genes were in accordance with those in the transcriptome data, indicating that the reference genes selected in this study are suitable. Conclusions: The study provided appropriate reference genes for accurate normalization in qRT-PCR analysis in O. ochrocephala and emphasized the importance of validating reference genes for gene expression analysis under specific experimental condition. The usage of inappropriate reference gene would cause misinterpretation. Frontiers Media S.A. 2015-06-30 /pmc/articles/PMC4484982/ /pubmed/26175743 http://dx.doi.org/10.3389/fpls.2015.00475 Text en Copyright © 2015 Zhuang, Fu, He, Wang and Wei. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhuang, Huihui
Fu, Yanping
He, Wei
Wang, Lin
Wei, Yahui
Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title_full Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title_fullStr Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title_full_unstemmed Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title_short Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments
title_sort selection of appropriate reference genes for quantitative real-time pcr in oxytropis ochrocephala bunge using transcriptome datasets under abiotic stress treatments
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484982/
https://www.ncbi.nlm.nih.gov/pubmed/26175743
http://dx.doi.org/10.3389/fpls.2015.00475
work_keys_str_mv AT zhuanghuihui selectionofappropriatereferencegenesforquantitativerealtimepcrinoxytropisochrocephalabungeusingtranscriptomedatasetsunderabioticstresstreatments
AT fuyanping selectionofappropriatereferencegenesforquantitativerealtimepcrinoxytropisochrocephalabungeusingtranscriptomedatasetsunderabioticstresstreatments
AT hewei selectionofappropriatereferencegenesforquantitativerealtimepcrinoxytropisochrocephalabungeusingtranscriptomedatasetsunderabioticstresstreatments
AT wanglin selectionofappropriatereferencegenesforquantitativerealtimepcrinoxytropisochrocephalabungeusingtranscriptomedatasetsunderabioticstresstreatments
AT weiyahui selectionofappropriatereferencegenesforquantitativerealtimepcrinoxytropisochrocephalabungeusingtranscriptomedatasetsunderabioticstresstreatments