Evidence map›Paper›PMID 40596810›Full record

ArticleBMC genomics2025

Selection of reference genes in Thermothelomyces fergusii: insights from genomic and expression analysis in response to different carbon sources.

Abdul Waheed, Yi Chen, Hafiz Muhammad Rizwan, Muhammad Adnan, Xuekun Ma, Gang Liu

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Abdul WaheedShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Yi ChenShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Hafiz Muhammad RizwanCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China.
Muhammad AdnanLushan Botanical Garden, Chinese Academy of Sciences, Jiujiang, Jiangxi Province, 332900, China.
Xuekun MaShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China.
Gang LiuShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518060, China. zjuliug@szu.edu.cn.

Funding

National Natural Science Foundation of China 22078199Natural Science Foundation of Guangdong Province 2021A1515012118Shenzhen Municipal Science and Technology Basic Research Program JCYJ20200109105210448
6 · The paper itself

Abstract

backgroundRNA 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.

resultsThe 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.

conclusionThese 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.

Indexed as

CarbonGene Expression ProfilingGenes, FungalGenomicsGene Expression Regulation, FungalReal-Time Polymerase Chain ReactionReference StandardsCarbonData normalizationFermentation mediumRefFinderSugar treatmentsThermothelomyces Fergusii

Identifiers

PMID40596810
PMCPMC12211256

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