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Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata

Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of the tropical and subtropical areas of the world. They are natural genetic reservoirs of salt adaptation genes and offer a unique system to explore adaptive mechanisms under salinity stress. However, th...

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Autores principales: Saddhe, Ankush Ashok, Malvankar, Manali Ramakant, Kumar, Kundan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046198/
https://www.ncbi.nlm.nih.gov/pubmed/30013853
http://dx.doi.org/10.7717/peerj.5226
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author Saddhe, Ankush Ashok
Malvankar, Manali Ramakant
Kumar, Kundan
author_facet Saddhe, Ankush Ashok
Malvankar, Manali Ramakant
Kumar, Kundan
author_sort Saddhe, Ankush Ashok
collection PubMed
description Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of the tropical and subtropical areas of the world. They are natural genetic reservoirs of salt adaptation genes and offer a unique system to explore adaptive mechanisms under salinity stress. However, there are no reliable studies available on selection and validation of reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) in R. apiculata physiological tissues and in salt stress conditions. The selection of appropriate candidate reference gene for normalization of qRT-PCR data is a crucial step towards relative analysis of gene expression. In the current study, seven genes such as elongation factor 1α (EF1α), Ubiquitin (UBQ), β-tubulin (β-TUB), Actin (ACT), Ribulose1,5-bisphosphate carboxylase/oxygenase (rbcL), Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and 18S rRNA (18S) were selected and analyzed for their expression stability. Physiological tissues such as leaf, root, stem, and flower along with salt stress leaf samples were used for selection of candidate reference genes. The high-quality expression data was obtained from biological replicates and further analyzed using five different programs such as geNorm, NormFinder, BestKeeper, Delta Ct and RefFinder. All algorithms comprehensively ranked EF1α followed by ACT as the most stable candidate reference genes in R. apiculata physiological tissues. Moreover, β-TUB and 18S were ranked as moderately stable candidate reference genes, while GAPDH and rbcL were least stable reference genes. Under salt stress, EF1α was comprehensively recommended top-ranked candidate reference gene followed by ACT and 18S. In order to validate the identified most stable candidate reference genes, EF1α, ACT, 18S and UBQ were used for relative gene expression level of sodium/proton antiporter (NHX) gene under salt stress. The expression level of NHX varied according to the internal control which showed the importance of selection of appropriate reference gene. Taken together, this is the first ever systematic attempt of selection and validation of reference gene for qRT-PCR in R. apiculata physiological tissues and in salt stress. This study would promote gene expression profiling of salt stress tolerance related genes in R. apiculata.
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spelling pubmed-60461982018-07-16 Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata Saddhe, Ankush Ashok Malvankar, Manali Ramakant Kumar, Kundan PeerJ Molecular Biology Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of the tropical and subtropical areas of the world. They are natural genetic reservoirs of salt adaptation genes and offer a unique system to explore adaptive mechanisms under salinity stress. However, there are no reliable studies available on selection and validation of reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) in R. apiculata physiological tissues and in salt stress conditions. The selection of appropriate candidate reference gene for normalization of qRT-PCR data is a crucial step towards relative analysis of gene expression. In the current study, seven genes such as elongation factor 1α (EF1α), Ubiquitin (UBQ), β-tubulin (β-TUB), Actin (ACT), Ribulose1,5-bisphosphate carboxylase/oxygenase (rbcL), Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and 18S rRNA (18S) were selected and analyzed for their expression stability. Physiological tissues such as leaf, root, stem, and flower along with salt stress leaf samples were used for selection of candidate reference genes. The high-quality expression data was obtained from biological replicates and further analyzed using five different programs such as geNorm, NormFinder, BestKeeper, Delta Ct and RefFinder. All algorithms comprehensively ranked EF1α followed by ACT as the most stable candidate reference genes in R. apiculata physiological tissues. Moreover, β-TUB and 18S were ranked as moderately stable candidate reference genes, while GAPDH and rbcL were least stable reference genes. Under salt stress, EF1α was comprehensively recommended top-ranked candidate reference gene followed by ACT and 18S. In order to validate the identified most stable candidate reference genes, EF1α, ACT, 18S and UBQ were used for relative gene expression level of sodium/proton antiporter (NHX) gene under salt stress. The expression level of NHX varied according to the internal control which showed the importance of selection of appropriate reference gene. Taken together, this is the first ever systematic attempt of selection and validation of reference gene for qRT-PCR in R. apiculata physiological tissues and in salt stress. This study would promote gene expression profiling of salt stress tolerance related genes in R. apiculata. PeerJ Inc. 2018-07-12 /pmc/articles/PMC6046198/ /pubmed/30013853 http://dx.doi.org/10.7717/peerj.5226 Text en ©2018 Saddhe 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Molecular Biology
Saddhe, Ankush Ashok
Malvankar, Manali Ramakant
Kumar, Kundan
Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title_full Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title_fullStr Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title_full_unstemmed Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title_short Selection of reference genes for quantitative real-time PCR analysis in halophytic plant Rhizophora apiculata
title_sort selection of reference genes for quantitative real-time pcr analysis in halophytic plant rhizophora apiculata
topic Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046198/
https://www.ncbi.nlm.nih.gov/pubmed/30013853
http://dx.doi.org/10.7717/peerj.5226
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