Danner Caroline, Karpenko Yuriy, Mach Robert L, Mach-Aigner Astrid R
Institute of Chemical, Environmental and Bioscience Engineering, Technische Universität Wien, Gumpendorfer Str. 1a, 1060 Vienna, Austria.
J Fungi (Basel). 2025 May 21;11(5):396. doi: 10.3390/jof11050396.
is a well-established industrial enzyme producer and has been the subject of extensive research for various applications. The basis of many research studies is the analysis of gene expression, specifically with RT-qPCR, which requires stable reference genes for normalization to yield reliable results. Yet the commonly used reference genes, and , were initially chosen based on reports from the literature rather than systematic validation, raising concerns about their stability. Thus, properly evaluated reference genes for are lacking. In this study, five potentially new reference genes were identified by analyzing publicly available transcriptome datasets of the strains QM6a and Rut-C30. Their expression stability was then evaluated under relevant cultivation conditions using RT-qPCR and analyzed with RefFinder. The two most stable candidate reference genes were further validated by normalizing the expression of the well-characterized gene and comparing the results to those obtained using and . Additionally, and were normalized against the new reference genes to assess the variability in their expression. All five new reference genes exhibited a more stable expression than and . Both in silico and RT-qPCR analysis ranked the so far uncharacterized gene, , as the most stable. Further, we found that and have strain- and condition-dependent expression variability, suggesting that they are unsuitable as universal reference genes in . Based on these results, we propose to use the combination of and for the normalization in RT-qPCR analysis instead of and .
是一家成熟的工业酶生产商,并且一直是各种应用广泛研究的对象。许多研究的基础是基因表达分析,特别是使用RT-qPCR,这需要稳定的参考基因进行标准化以产生可靠的结果。然而,常用的参考基因和最初是根据文献报道而非系统验证选择的,这引发了对其稳定性的担忧。因此,缺乏经过适当评估的用于的参考基因。在本研究中,通过分析菌株QM6a和Rut-C30的公开可用转录组数据集,鉴定了五个潜在的新参考基因。然后使用RT-qPCR在相关培养条件下评估它们的表达稳定性,并使用RefFinder进行分析。通过对特征明确的基因的表达进行标准化,并将结果与使用和获得的结果进行比较,进一步验证了两个最稳定的候选参考基因。此外,和针对新参考基因进行标准化,以评估其表达的变异性。所有五个新参考基因均表现出比和更稳定的表达。计算机分析和RT-qPCR分析均将迄今为止未表征的基因列为最稳定的基因。此外,我们发现和具有菌株和条件依赖性的表达变异性,这表明它们不适用于作为通用参考基因。基于这些结果,我们建议在RT-qPCR分析中使用和的组合进行标准化,而不是和。