Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus

Real-time quantitative reverse transcription PCR (RT-qPCR) is one of the most effective tools for studying gene expression. <i>Inonotus obliquus</i> is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. In this study, we selected 11 potential reference genes of <i>Inonotus obliquus</i>. Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. Under varying carbon sources, <i>VPS</i> exhibited good stability and was suitable as an internal reference gene. Under different nitrogen sources, <i>RPB2</i> was the most stable reference gene. For varying growth factors, <i>PP2A</i> was the most stable reference gene. At different pH levels, <i>UBQ</i> showed the highest stability. Under different temperature conditions, <i>RPL4</i> was the most stable. In different strains, <i>RPL2</i> was the most stable reference gene, while <i>VAS</i> demonstrated the greatest stability across different growth stages. Overall, <i>VPS</i> was the most recommended reference gene for the entire sample set. This study provides a foundation for the further application of RT-qPCR in the gene expression analysis of <i>Inonotus obliquus</i>.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2025-01-29
DOI
https://doi.org/10.3389/fmicb.2025.1500043
Citations
2
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus

Shouming Wang, Xiao-fan Guo, Lulu Li
2 citations
Frontiers in Microbiology
Molecular Biology Techniques and Applications
1.61
article

Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus

Shouming Wang, Xiao-fan Guo, Lulu Li
article en
2 citations

Abstract

Real-time quantitative reverse transcription PCR (RT-qPCR) is one of the most effective tools for studying gene expression. <i>Inonotus obliquus</i> is a rare and edible medicinal fungus. Selecting an appropriate reference gene is crucial for researching its gene function. In this study, we selected 11 potential reference genes of <i>Inonotus obliquus</i>. Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. Under varying carbon sources, <i>VPS</i> exhibited good stability and was suitable as an internal reference gene. Under different nitrogen sources, <i>RPB2</i> was the most stable reference gene. For varying growth factors, <i>PP2A</i> was the most stable reference gene. At different pH levels, <i>UBQ</i> showed the highest stability. Under different temperature conditions, <i>RPL4</i> was the most stable. In different strains, <i>RPL2</i> was the most stable reference gene, while <i>VAS</i> demonstrated the greatest stability across different growth stages. Overall, <i>VPS</i> was the most recommended reference gene for the entire sample set. This study provides a foundation for the further application of RT-qPCR in the gene expression analysis of <i>Inonotus obliquus</i>.

Frontiers in MicrobiologyVol. 16
Hubei Engineering University (CN)
Clean water and sanitation
Openalex Percentile: Top 20%
Molecular Biology Techniques and Applications
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus — Shouming Wang, Xiao-fan Guo, et al. · Frontiers in Microbiology (2025) | TGRS Research Map | TGRS