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Selection and Evaluation of Appropriate Reference Genes for RT-qPCR Normalization of Volvariella volvacea Gene Expression under Different Conditions

文献类型： 外文期刊

作者： Qian, Jiang 1 ; Gao, Yingnv 2 ; Wang, Ying 2 ; Wu, Yingying 2 ; Wan, Ying 2 ; Zhao, Yucheng 6 ; Chen, Hongyu 2 ; Bao, Dap 1 ;

作者机构： 1.China Pharmaceut Univ, Sch Life Sci & Technol, 24 Tongjiaxiang, Nanjing 210009, Jiangsu, Peoples R China

2.Shanghai Acad Agr Sci, Natl Engn Res Ctr Edible Fungi, Shanghai, Peoples R China

3.Shanghai Acad Agr Sci, Key Lab Appl Mycol Resources & Utilizat, Minist Agr, Shanghai, Peoples R China

4.Shanghai Acad Agr Sci, Shanghai Key Lab Agr Genet & Breeding, Shanghai, Peoples R China

5.Shanghai Acad Agr Sci, Inst Edible Fungi, Shanghai, Peoples R China

6.China Pharmaceut Univ, Jiangsu Key Lab Bioact Nat Prod Res, Nanjing, Jiangsu, Peoples R China

7.China Pharmaceut Univ, State Key Lab Nat Med, Nanjing, Jiangsu, Peoples R China

期刊名称：BIOMED RESEARCH INTERNATIONAL （ 影响因子：3.411； 五年影响因子：3.62 ）

ISSN： 2314-6133

年卷期： 2018 年

页码：

收录情况： SCI

摘要： Volvariella volvacea (V. volvacea), commonly referred to as Chinese (paddy straw) mushroom, is a basidiomycete with a protein-rich volva and pileus. Selecting appropriate reference genes is a crucial step in the normalization of quantitative real-time PCR data. Therefore, 12 candidate reference genes were selected from the V. volvacea transcriptome based on previous studies and then BestKeeper, geNorm, and Norm Finder were used to identify reference genes stably expressed during different developmental stages and conditions. Of the 12 candidate reference genes, SPRY domain protein (SPRYp), alpha-tubulin (TUB alpha), cyclophilin (CYP), L-asparaginase (L-asp), and MSF1-domain-containing protein (MSF1) were the most stably expressed under different experimental conditions, while 18S ribosomal RNA (18S), 28S ribosomal RNA (28S), and beta-actin (ACTB) were the least stably expressed. This investigation not only revealed potential factors influencing the suitability of reference genes, but also identified optimal reference genes from a pool of candidate genes under a wide range of conditions.

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