Waheed Abdul, Chen Yi, Rizwan Hafiz Muhammad, Adnan Muhammad, Ma Xuekun, Liu Gang
Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
BMC Genomics. 2025 Jul 1;26(1):586. doi: 10.1186/s12864-025-11772-x.
RNA expression analysis using reverse transcription qPCR requires reference genes for accurate data normalization. However, some reference genes can show significant variability in specific biological samples, raising concerns about the reliability of this method. This study assessed the expression levels of 12 reference genes in Thermothelomyces fergusii during spore and mycelium cultivation under different carbon source media (avicel, cellobiose, and glucose) using RT-qPCR. T. fergusii is a thermophilic fungus known for its abundance of cellulase and industrial applications. Quantifying fungal gene expression using the RT-qPCR method is essential for investigating the molecular biology of T. fergusii.
The stability of 12 reference genes in T. fergusii was evaluated using RefFinder, geNorm, NormFinder, BestKeeper, and delta Ct techniques. The robustness of the chosen reference gene was verified using the LPMO AA9-4 gene. Analysis of the different methods showed variations in the results of reference genes under different sugar treatments. Consistently, EF1, GAPDH, and 18 S-3 were identified as reliable reference genes by the geometric mean of ranking values from Pearson correlation coefficient (r) analysis of pooled data, ranking values of RefFinder in pooled data, and NormFinder of pooled data. However, BT-3, ACT-3, and 18 S-2 exhibited inconsistency as reference genes.
These results emphasize the importance of verifying reference genes in specific experimental models and provide valuable recommendations for selecting reliable reference genes in RT-qPCR. These findings have broad applicability for gene expression investigations involving T. fergusii.
使用逆转录定量聚合酶链反应(RT-qPCR)进行RNA表达分析需要参考基因来准确进行数据标准化。然而,一些参考基因在特定生物样本中可能表现出显著的变异性,这引发了对该方法可靠性的担忧。本研究使用RT-qPCR评估了在不同碳源培养基(微晶纤维素、纤维二糖和葡萄糖)中培养孢子和菌丝体期间费氏嗜热丝孢菌中12个参考基因的表达水平。费氏嗜热丝孢菌是一种嗜热真菌,以其丰富的纤维素酶和工业应用而闻名。使用RT-qPCR方法定量真菌基因表达对于研究费氏嗜热丝孢菌的分子生物学至关重要。
使用RefFinder、geNorm、NormFinder、BestKeeper和delta Ct技术评估了费氏嗜热丝孢菌中12个参考基因的稳定性。使用LPMO AA9-4基因验证了所选参考基因的稳健性。对不同方法的分析表明不同糖处理下参考基因的结果存在差异。一致地,通过对汇总数据的Pearson相关系数(r)分析的排名值的几何平均值、汇总数据中RefFinder排名值以及汇总数据的NormFinder,EF1、GAPDH和18 S-3被确定为可靠的参考基因。然而,BT-3、ACT-3和18 S-2作为参考基因表现出不一致性。
这些结果强调了在特定实验模型中验证参考基因的重要性,并为在RT-qPCR中选择可靠的参考基因提供了有价值的建议。这些发现对于涉及费氏嗜热丝孢菌的基因表达研究具有广泛的适用性。