title: Genome-wide identification of suitable zebrafish Danio rerio reference genes for normalization of gene expression data by RT-qPCR.
abstract: In this study, to systematically identify the most stably expressed genes for internal reference in zebrafish Danio rerio investigations, 37 D. rerio transcriptomic datasets (both RNA sequencing and microarray data) were collected from gene expression omnibus (GEO) database and unpublished data, and gene expression variations were analysed under three experimental conditions: tissue types, developmental stages and chemical treatments. Forty-four putative candidate genes were identified with the c.v. <0·2 from all datasets. Following clustering into different functional groups, 21 genes, in addition to four conventional housekeeping genes (eef1a1l1, b2m, hrpt1l and actb1), were selected from different functional groups for further quantitative real-time (qrt-)PCR validation using 25 RNA samples from different adult tissues, developmental stages and chemical treatments. The qrt-PCR data were then analysed using the statistical algorithm refFinder for gene expression stability. Several new candidate genes showed better expression stability than the conventional housekeeping genes in all three categories. It was found that sep15 and metap1 were the top two stable genes for tissue types, ube2a and tmem50a the top two for different developmental stages, and rpl13a and rp1p0 the top two for chemical treatments. Thus, based on the extensive transcriptomic analyses and qrt-PCR validation, these new reference genes are recommended for normalization of D. rerio qrt-PCR data respectively for the three different experimental conditions.
authors.affiliation: Pearl River Fisheries Research Institute, Chinese Academic of Fishery Sciences, Guangzhou 510380, China.|Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
authors.forename: H
authors.initials: H
authors.lastname: Xu
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
authors.forename: C
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
authors.forename: Q
authors.initials: Q
authors.lastname: Zeng
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
authors.forename: I
authors.initials: I
authors.lastname: Agrawal
authors.affiliation: Pearl River Fisheries Research Institute, Chinese Academic of Fishery Sciences, Guangzhou 510380, China.
authors.forename: X
authors.initials: X
authors.lastname: Zhu
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore.
authors.forename: Z
authors.initials: Z
authors.lastname: Gong
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D030541:Databases, Genetic; D066264:Datasets as Topic; D020869:Gene Expression Profiling / Q000379:methods; D020043:Genes, Essential; D016678:Genome; D012313:RNA; D060888:Real-Time Polymerase Chain Reaction; D015027:Zebrafish / Q000235:genetics*
chemical_list: D012313:RNA
keywords: fish; gene expression; housekeeping genes; transcriptomes