Reference Gene Selection for Quantitative Real-Time PCR of Mycelia from Lentinula edodes under High-Temperature Stress

33Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

Abstract

Housekeeping genes are important for measuring the transcription expression of functional genes; 10 traditional reference genes, TUB, TUA, GADPH, EF1, 18S, GTP, ACT, UBI, UBC, and H2A, were tested for their adequacy in Lentinula edodes (L. edodes). Using specific primers, mRNA levels of these candidate housekeeping genes were evaluated in mycelia of L. edodes, which were treated with high-temperature stress at 37°C for 0, 4, 8, 12, 18, and 24 hours. After treatment, expression stability of candidate genes was evaluated using three statistical software programs: geNorm, NormFinder, and BestKeeper. According to geNorm, TUB had the lowest M values in L. edodes strains 18 and 18N44. Using NormFinder, the best candidate reference gene in strain 18 was TUB (0.030), and the best candidate reference gene in strain 18N44 was UBI (0.047). In BestKeeper analysis, the standard deviation (SD) values of UBC, TUA, H2A, EF1, ACT, 18S, and GTP in strain 18 and those of GADPH and GTP in strain 18N44 were greater than 1; thus, these genes were disqualified as reference genes. Taken together, only UBI and TUB were found to be desirable reference genes by BestKeeper software. Based on the results of three software analyses, TUB was the most stable gene under all conditions and was verified as an appropriate reference gene for quantitative real-time polymerase chain reaction in L. edodes mycelia under high-temperature stress.

References Powered by Scopus

Analysis of relative gene expression data using real-time quantitative PCR and the 2<sup>-ΔΔC</sup>T method

149929Citations
N/AReaders
Get full text

Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

16292Citations
N/AReaders
Get full text

Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets

5985Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Biosynthetic Mechanism of Key Volatile Biomarkers of Harvested Lentinula edodes Triggered by Spore Release

35Citations
N/AReaders
Get full text

RNA-seq Profiling Showed Divergent Carbohydrate-Active Enzymes (CAZymes) Expression Patterns in Lentinula edodes at Brown Film Formation Stage Under Blue Light Induction

30Citations
N/AReaders
Get full text

Heat stress in macrofungi: effects and response mechanisms

26Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhao, X., Yang, H., Chen, M., Song, X., Yu, C., Zhao, Y., & Wu, Y. (2018). Reference Gene Selection for Quantitative Real-Time PCR of Mycelia from Lentinula edodes under High-Temperature Stress. BioMed Research International, 2018. https://doi.org/10.1155/2018/1670328

Readers over time

‘19‘20‘21‘22‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

60%

Researcher 3

30%

Lecturer / Post doc 1

10%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 3

38%

Biochemistry, Genetics and Molecular Bi... 3

38%

Pharmacology, Toxicology and Pharmaceut... 1

13%

Computer Science 1

13%

Save time finding and organizing research with Mendeley

Sign up for free
0