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Evaluating suitable internal control genes for transcriptional studies in heat‐stressed mammary explants of buffaloes
Author(s) -
Sodhi M.,
Kishore A.,
Khate K.,
Kapila N.,
Mishra B.P.,
Kataria R.S.,
Mohanty A.K.,
Varshney N.,
Mukesh M.
Publication year - 2013
Publication title -
journal of animal breeding and genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1111/j.1439-0388.2012.01004.x
Subject(s) - reference genes , biology , eukaryotic translation elongation factor 1 alpha 1 , gene , glyceraldehyde 3 phosphate dehydrogenase , gene expression , normalization (sociology) , explant culture , andrology , genetics , rna , medicine , ribosome , sociology , anthropology , in vitro
Summary It is now a well‐accepted notion that each new experimental design requires proper evaluation of internal control genes (ICGs) for accurate normalization of expression data. In riverine buffaloes, till date no appropriate ICG has been reported for studying transcriptional response under any of the physiological stressful condition. The objective here was to test 16 well‐known reference genes from different functional categories that could serve as suitable ICG during heat stress studies in buffalo mammary tissue. Briefly, the mammary explants were exposed to 45°C for 1 h and subsequently allowed to recover at 37°C for different time points (2–24 h). Three software programs, geNorm, Normfinder and BestKeeper, were used to measure gene transcript stability. RPL22 was excluded because of weak amplification and unacceptable PCR efficiency. Except GAPDH , all other genes showed expression stability within the acceptable range (<1.5). RPL4 , B2M , RPS23 and EEF1A1 genes were found to be most stably expressed while GAPDH and ACTB showed least stability. The BestKeeper analysis identified high correlation for RPL4 ( r = 0.953) and EEF1A1 ( r = 0.914) with BestKeeper index. Based on the present findings, it could be suggested that geometric average of RPL4 , B2M , RPS23 and EEF1A1 would provide accurate normalization to transcriptional data of buffalo mammary explant in response to heat stress.