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Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions

To understand the role of gene expression in adaptive variation, it is necessary to examine expression variation in an ecological context. Quantitative real-time PCR (qPCR) is considered the most accurate and reliable technique to measure gene expression and to validate the data obtained by RNA-seq;...

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Autores principales: Rojas-Hernandez, Noemí, Véliz, David, Vega-Retter, Caren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401100/
https://www.ncbi.nlm.nih.gov/pubmed/30837616
http://dx.doi.org/10.1038/s41598-019-40196-3
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author Rojas-Hernandez, Noemí
Véliz, David
Vega-Retter, Caren
author_facet Rojas-Hernandez, Noemí
Véliz, David
Vega-Retter, Caren
author_sort Rojas-Hernandez, Noemí
collection PubMed
description To understand the role of gene expression in adaptive variation, it is necessary to examine expression variation in an ecological context. Quantitative real-time PCR (qPCR) is considered the most accurate and reliable technique to measure gene expression and to validate the data obtained by RNA-seq; however, accurate normalization is crucial. In Chile, the freshwater silverside fish Basilichthys microlepidotus inhabits both polluted and nonpolluted areas, showing differential gene expression related to pollution. In this study, we infer the stability of six potential reference genes (tubulin alpha, hypoxanthine-guanine phosphoribosyltransferase, glyceraldehyde-3-phosphate dehydrogenase, beta-actin, 60S ribosomal protein L13, and 60S ribosomal protein L8) in the gills and liver of silverside individuals inhabiting polluted and nonpolluted areas. To validate the reference genes selected, the most and least stable reference genes were used to normalize two target transcripts, one for each organ. The RefFinder tool was used to analyze and identify the most stably expressed genes. The 60S ribosomal protein L8 gene was ranked as the most stable gene for both organs. Our results show that reference gene selection influences the detection of differences in the expression levels of target genes in different organs and, also highlighting candidate reference genes that could be used in field studies.
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spelling pubmed-64011002019-03-07 Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions Rojas-Hernandez, Noemí Véliz, David Vega-Retter, Caren Sci Rep Article To understand the role of gene expression in adaptive variation, it is necessary to examine expression variation in an ecological context. Quantitative real-time PCR (qPCR) is considered the most accurate and reliable technique to measure gene expression and to validate the data obtained by RNA-seq; however, accurate normalization is crucial. In Chile, the freshwater silverside fish Basilichthys microlepidotus inhabits both polluted and nonpolluted areas, showing differential gene expression related to pollution. In this study, we infer the stability of six potential reference genes (tubulin alpha, hypoxanthine-guanine phosphoribosyltransferase, glyceraldehyde-3-phosphate dehydrogenase, beta-actin, 60S ribosomal protein L13, and 60S ribosomal protein L8) in the gills and liver of silverside individuals inhabiting polluted and nonpolluted areas. To validate the reference genes selected, the most and least stable reference genes were used to normalize two target transcripts, one for each organ. The RefFinder tool was used to analyze and identify the most stably expressed genes. The 60S ribosomal protein L8 gene was ranked as the most stable gene for both organs. Our results show that reference gene selection influences the detection of differences in the expression levels of target genes in different organs and, also highlighting candidate reference genes that could be used in field studies. Nature Publishing Group UK 2019-03-05 /pmc/articles/PMC6401100/ /pubmed/30837616 http://dx.doi.org/10.1038/s41598-019-40196-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rojas-Hernandez, Noemí
Véliz, David
Vega-Retter, Caren
Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title_full Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title_fullStr Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title_full_unstemmed Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title_short Selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
title_sort selection of suitable reference genes for gene expression analysis in gills and liver of fish under field pollution conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401100/
https://www.ncbi.nlm.nih.gov/pubmed/30837616
http://dx.doi.org/10.1038/s41598-019-40196-3
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