Reference gene selection for real-time qPCR in European flounder (Platichthys flesus) using organ-specific RNA-seq data

被引:0
作者
Pomianowski, Konrad [1 ]
Burzynski, Artur [1 ]
机构
[1] Polish Acad Sci, Inst Oceanol, Dept Genet & Marine Biotechnol, Powstancow Warszawy 55, PL-81712 Sopot, Poland
关键词
HKG; Housekeeping genes; Differential expression analysis; Fish; HOUSEKEEPING GENES; CHEMICAL STRESS; NORMALIZATION; RESPONSES; PCR; EXPRESSION;
D O I
10.1007/s11033-024-10105-7
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
BackgroundThe European flounder is readily chosen as an experimental subject and model in physiological and ecotoxicological studies mostly because of its adaptability to laboratory conditions. Many studies utilise a quantitative PCR (qPCR) approach to ascertain the expression of target genes under experimental conditions. Such an approach relies heavily on the selection of reference genes with stable expression. Yet certain housekeeping genes are commonly used in this role, often without due consideration of their overall expression patterns. Therefore, new approaches should be developed to identify stable reference genes for a given species and to expand the general pool of genes suitable for the reference in qPCR analysis.Methods and resultsHere RNA-seq data of nine flounder organs led to identify four candidate genes of the most stable expression. It was achieved by differential expression analysis and tritoconstrictor script. Specific primers were designed for the complete ORF as well as for qPCR analysis. RT-qPCR efficiencies were tested on ORF amplicon templates. Most of the genes tested showed good amplification in a wide range of template dilutions (107-101), with a correlation coefficient (R2) ranging from 0.991 to 0.998 and a consistent efficiency (E) (Sybr Green I staining and TaqMan molecular probe).ConclusionsThe proposed approach based on differential expression analysis and a new bioinformatic tool is an appropriate selection method of candidates for reference genes in qPCR. The proposed approach, combining differential expression analysis with a new bioinformatics tool, provides an effective method for selecting reference gene candidates for qPCR. As a result, we can propose four genes (polr2f, yif1a, sf3b6, uba52), each with a set of validated primers, as suitable for consideration as reference genes in qPCR analysis in European flounder, an emerging model species.
引用
收藏
页数:8
相关论文
共 25 条
[1]   Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets [J].
Andersen, CL ;
Jensen, JL ;
Orntoft, TF .
CANCER RESEARCH, 2004, 64 (15) :5245-5250
[2]   Utility of the housekeeping genes 18S rRNA, β-actin and glyceraldehyde-3-phosphate-dehydrogenase for normalization in real-time quantitative reverse transcriptase-polymerase chain reaction analysis of gene expression in human T lymphocytes [J].
Bas, A ;
Forsberg, G ;
Hammarström, S ;
Hammarström, ML .
SCANDINAVIAN JOURNAL OF IMMUNOLOGY, 2004, 59 (06) :566-573
[3]   Insights into the development of hepatocellular fibrillar inclusions in European flounder (Platichthys flesus) from UK estuaries [J].
Bignell, John P. ;
Barber, Jon ;
Bateman, Kelly S. ;
Etherton, Mark ;
Feist, Stephen W. ;
Galloway, Tamara S. ;
Katsiadaki, Ioanna ;
Sebire, Marion ;
Scott, Alexander P. ;
Stentiford, Grant D. ;
Bean, Tim P. .
CHEMOSPHERE, 2020, 256 (256)
[4]   The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments [J].
Bustin, Stephen A. ;
Benes, Vladimir ;
Garson, Jeremy A. ;
Hellemans, Jan ;
Huggett, Jim ;
Kubista, Mikael ;
Mueller, Reinhold ;
Nolan, Tania ;
Pfaffl, Michael W. ;
Shipley, Gregory L. ;
Vandesompele, Jo ;
Wittwer, Carl T. .
CLINICAL CHEMISTRY, 2009, 55 (04) :611-622
[5]   Selection of optimal reference genes for normalization in quantitative RT-PCR [J].
Chervoneva, Inna ;
Li, Yanyan ;
Schulz, Stephanie ;
Croker, Sean ;
Wilson, Chantell ;
Waldman, Scott A. ;
Hyslop, Terry .
BMC BIOINFORMATICS, 2010, 11
[6]   Assessment of the European flounder responses to chemical stress in the English Channel, considering biomarkers and life history traits [J].
Dupuy, Celie ;
Galland, Claire ;
Pichereau, Vianney ;
Sanchez, Wilfried ;
Riso, Ricardo ;
Labonne, Maylis ;
Amara, Rachid ;
Charrier, Gregory ;
Fournier, Michel ;
Laroche, Jean .
MARINE POLLUTION BULLETIN, 2015, 95 (02) :634-645
[7]   Impacts of mixtures of herbicides on molecular and physiological responses of the European flounder Platichthys flesus [J].
Evrard, Esterine ;
Marchand, Justine ;
Theron, Michael ;
Pichavant-Rafini, Karine ;
Durand, Gael ;
Quiniou, Louis ;
Laroche, Jean .
COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY, 2010, 152 (03) :321-331
[8]   Hepatic transcriptomic profiles of European flounder (Platichthys flesus) from field sites and computational approaches to predict site from stress gene responses following exposure to model toxicants [J].
Falciani, F. ;
Diab, A. M. ;
Sabine, V. ;
Williams, T. D. ;
Ortega, F. ;
George, S. G. ;
Chipman, J. K. .
AQUATIC TOXICOLOGY, 2008, 90 (02) :92-101
[9]   Full-length transcriptome assembly from RNA-Seq data without a reference genome [J].
Grabherr, Manfred G. ;
Haas, Brian J. ;
Yassour, Moran ;
Levin, Joshua Z. ;
Thompson, Dawn A. ;
Amit, Ido ;
Adiconis, Xian ;
Fan, Lin ;
Raychowdhury, Raktima ;
Zeng, Qiandong ;
Chen, Zehua ;
Mauceli, Evan ;
Hacohen, Nir ;
Gnirke, Andreas ;
Rhind, Nicholas ;
di Palma, Federica ;
Birren, Bruce W. ;
Nusbaum, Chad ;
Lindblad-Toh, Kerstin ;
Friedman, Nir ;
Regev, Aviv .
NATURE BIOTECHNOLOGY, 2011, 29 (07) :644-U130
[10]   Real time quantitative PCR [J].
Heid, CA ;
Stevens, J ;
Livak, KJ ;
Williams, PM .
GENOME RESEARCH, 1996, 6 (10) :986-994