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Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa

Quinoa depicts high nutritional quality and abiotic stress resistance, attracting strong interest in the last years. To unravel the function of candidate genes for agronomically relevant traits, studying their transcriptional activities by RT-qPCR is an important experimental approach. The accuracy...

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Autores principales: Maldonado-Taipe, Nathaly, Patirange, Dilan S. R., Schmöckel, Sandra M., Jung, Christian, Emrani, Nazgol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7951847/
https://www.ncbi.nlm.nih.gov/pubmed/33705394
http://dx.doi.org/10.1371/journal.pone.0233821
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author Maldonado-Taipe, Nathaly
Patirange, Dilan S. R.
Schmöckel, Sandra M.
Jung, Christian
Emrani, Nazgol
author_facet Maldonado-Taipe, Nathaly
Patirange, Dilan S. R.
Schmöckel, Sandra M.
Jung, Christian
Emrani, Nazgol
author_sort Maldonado-Taipe, Nathaly
collection PubMed
description Quinoa depicts high nutritional quality and abiotic stress resistance, attracting strong interest in the last years. To unravel the function of candidate genes for agronomically relevant traits, studying their transcriptional activities by RT-qPCR is an important experimental approach. The accuracy of such experiments strongly depends on precise data normalization. To date, validation of potential candidate genes for normalization of diurnal expression studies has not been performed in C. quinoa. We selected eight candidate genes based on transcriptome data and literature survey, including conventionally used reference genes. We used three statistical algorithms (BestKeeper, geNorm and NormFinder) to test their stability and added further validation by a simulation-based strategy. We demonstrated that using different reference genes, including those top ranked by stability, causes significant differences among the resulting diurnal expression patterns. Our results show that isocitrate dehydrogenase enzyme (IDH-A) and polypyrimidine tract-binding protein (PTB) are suitable genes to normalize diurnal expression data of two different quinoa accessions. Moreover, we validated our reference genes by normalizing two known diurnally regulated genes, BTC1 and BBX19. The validated reference genes obtained in this study will improve the accuracy of RT-qPCR data normalization and facilitate gene expression studies in quinoa.
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spelling pubmed-79518472021-03-22 Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa Maldonado-Taipe, Nathaly Patirange, Dilan S. R. Schmöckel, Sandra M. Jung, Christian Emrani, Nazgol PLoS One Research Article Quinoa depicts high nutritional quality and abiotic stress resistance, attracting strong interest in the last years. To unravel the function of candidate genes for agronomically relevant traits, studying their transcriptional activities by RT-qPCR is an important experimental approach. The accuracy of such experiments strongly depends on precise data normalization. To date, validation of potential candidate genes for normalization of diurnal expression studies has not been performed in C. quinoa. We selected eight candidate genes based on transcriptome data and literature survey, including conventionally used reference genes. We used three statistical algorithms (BestKeeper, geNorm and NormFinder) to test their stability and added further validation by a simulation-based strategy. We demonstrated that using different reference genes, including those top ranked by stability, causes significant differences among the resulting diurnal expression patterns. Our results show that isocitrate dehydrogenase enzyme (IDH-A) and polypyrimidine tract-binding protein (PTB) are suitable genes to normalize diurnal expression data of two different quinoa accessions. Moreover, we validated our reference genes by normalizing two known diurnally regulated genes, BTC1 and BBX19. The validated reference genes obtained in this study will improve the accuracy of RT-qPCR data normalization and facilitate gene expression studies in quinoa. Public Library of Science 2021-03-11 /pmc/articles/PMC7951847/ /pubmed/33705394 http://dx.doi.org/10.1371/journal.pone.0233821 Text en © 2021 Maldonado-Taipe 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, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Maldonado-Taipe, Nathaly
Patirange, Dilan S. R.
Schmöckel, Sandra M.
Jung, Christian
Emrani, Nazgol
Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title_full Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title_fullStr Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title_full_unstemmed Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title_short Validation of suitable genes for normalization of diurnal gene expression studies in Chenopodium quinoa
title_sort validation of suitable genes for normalization of diurnal gene expression studies in chenopodium quinoa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7951847/
https://www.ncbi.nlm.nih.gov/pubmed/33705394
http://dx.doi.org/10.1371/journal.pone.0233821
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