Chandra G Sharath, Asokan R, Manamohan M, Kumar N K K, Sita T
Mol Biol (Mosk). 2014 Nov-Dec;48(6):927-38.
Reverse-transcription quantitative real-time PCR (RT-qPCR), a sensitive technique is being extensively employed in quantification of gene expression. However this requires normalization with suitable reference gene (RG) which is crucial in minimizing inter sample variations. Information regarding suitable RG is scarce in general and more so in insects, including the cotton bollworm, Helicoverpa armigera, an economically important pest. In management of this pest RNA interference (RNAi), is perceived as a potential tool, which is achieved by double-stranded RNA (dsRNA) delivery. These studies demand accurate quantification of gene silencing. In this study we assessed the suitability of five RGs viz. β-actin (ACTB), 18S rRNA (18S), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-tubulin (TUB) and elongation fator-1-alfa (EF1-α) for gene expression studies in dsRNA treatment and across different developmental stages of H. armigera and ranked using geNorm, NormFinder and BestKeeper software programs. Data analysis revealed that best ranked RGs were varied in dsRNA treatment and in developmental stages. Under dsRNA treatment, 18S and GAPDH were more stable whereas, TUB and GAPDH were more stable across developmental stages. We also demonstrate that inappropriate selection of RG led to erroneous estimation of the target gene, chymotrypsin, expression. These results facilitate accurate quantification of gene expression in H. armigera.
逆转录定量实时PCR(RT-qPCR)是一种灵敏的技术,被广泛用于基因表达的定量分析。然而,这需要用合适的内参基因(RG)进行标准化,这对于最小化样本间差异至关重要。一般来说,关于合适内参基因的信息很少,在昆虫中更是如此,包括棉铃虫,一种具有重要经济意义的害虫。在这种害虫的治理中,RNA干扰(RNAi)被视为一种潜在工具,它是通过双链RNA(dsRNA)传递来实现的。这些研究需要对基因沉默进行准确的定量分析。在本研究中,我们评估了五个内参基因,即β-肌动蛋白(ACTB)、18S核糖体RNA(18S)、甘油醛-3-磷酸脱氢酶(GAPDH)、β-微管蛋白(TUB)和延伸因子-1-α(EF1-α)在dsRNA处理以及棉铃虫不同发育阶段基因表达研究中的适用性,并使用geNorm、NormFinder和BestKeeper软件程序进行排名。数据分析表明,在dsRNA处理和发育阶段中,排名最佳的内参基因各不相同。在dsRNA处理下,18S和GAPDH更稳定,而在不同发育阶段,TUB和GAPDH更稳定。我们还证明,不适当选择内参基因会导致对靶基因胰凝乳蛋白酶表达的错误估计。这些结果有助于准确量化棉铃虫中的基因表达。