Abstract

Quantitative reverse transcription PCR (RT-qPCR) remains as an accurate approach for gene expression analysis but requires labor-intensive validation of reference genes using species-specific primers. To ease such demand, the aim was to design and test a multi-species primer set to validate reference genes for inter-genus RT-qPCR gene expression analysis. Primers were designed for ten housekeeping genes using transcript sequences of various livestock species. All ten gene transcripts were detected by RT-PCR in Bos taurus (cattle), Bubalus bubalis (buffaloes), Capra hircus (goats), and Ovis aries (sheep) cDNA. Primer efficiency was attained for eight reference genes using B. taurus—O. aries fibroblast cDNA (95.54–98.39%). The RT-qPCR data normalization was carried out for B. taurus vs. O. aries relative gene expression using Bestkeeper, GeNorm, Norm-finder, Delta CT method, and RefFinder algorithms. Validation of inter-genus RT-qPCR showed up-regulation of TLR4 and ZFX gene transcripts in B. taurus fibroblasts, irrespectively of normalization conditions (two, three, or four reference genes). In silico search in mammalian transcriptomes showed that the multi-species primer set is expected to amplify transcripts of at least two distinct loci in 114 species, and 79 species would be covered by six or more primers. Hence, a multi-species primer set allows for inter-genus gene expression analysis between O. aries and B. taurus fibroblasts and further reveals species-specific gene transcript abundance of key transcription factors.

Highlights

  • Cellular states are the result of differential gene expression that arises from stepwise instructive factors during development [1,2]

  • Adjusting annealing temperature allowed the detection of single amplicons for all ten gene transcripts of the multi-species primer set (MSPS) in B. taurus and B. bubalis fibroblast cDNA (Fig 1)

  • The MSPS was detected as absolute reverse transcription (RT)-qPCR reactions (B. taurus, B. bubalis, C. hircus, and O. aries), as demonstrated by the merged melting curves from qPCR reactions of these four species

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Summary

Introduction

Cellular states are the result of differential gene expression that arises from stepwise instructive factors during development [1,2]. Disease states or phenotypic perturbation of cellular transcriptional programs by environmental or/and genetic factors can be readily identified by gene expression changes [3,4]. Inter-genus RT-qPCR using multi-species primers study design, data collection or analysis, preparation of the manuscript, or decision where to publish

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