Selection and Validation of Reference Genes for mRNA Expression by Quantitative Real-Time PCR Analysis in Neolamarckia cadamba.
Selection and Validation of Reference Genes for mRNA Expression by Quantitative Real-Time PCR Analysis in Neolamarckia cadamba.
复制标题
通过实时定量 PCR 分析 Neolamarckia cadamba mRNA 表达的参考基因的选择和验证
DOI:
10.1038/s41598-018-27633-5
复制
发表时间:
2018-06-18
影响因子:
4.6
通讯作者:
Peng C
中科院分区:
文献类型:
--
作者:
Huang T;Long J;Liu SW;Yang ZW;Zhu QJ;Zhao XL;Peng C
Neolamarckia cadamba is an economically-important fast-growing tree species in South China and Southeast Asia. As a prerequisite first step for future gene expression studies, we have identified and characterized a series of stable reference genes that can be used as controls for quantitative real time PCR (qRT-PCR) expression analysis in this study. The expression stability of 15 candidate reference genes in various tissues and mature leaves under different conditions was evaluated using four different algorithms, i.e., geNorm, NormFinder, BestKeeper and RefFinder. Our results showed that SAMDC was the most stable of the selected reference genes across the set of all samples, mature leaves at different photosynthetic cycles and under drought stress, whereas RPL10A had the most stable expression in various tissues. PGK and RPS25 were considered the most suitable reference for mature leaves at different developmental stages and under cold treatment, respectively. Additionally, the gene expression profiles of sucrose transporter 4 (NcSUT4), and 9‐cis‐epoxycarotenoid dioxygenase 3 (NcNCED3) were used to confirm the validity of candidate reference genes. Collectively, our study is the first report to validate the optimal reference genes for normalization under various conditions in N. cadamba and will benefit the future discovery of gene function in this species.
登录
查看更多内容
影响因子:
5.3
作者:
Artico S;Nardeli SM;Brilhante O;Grossi-de-Sa MF;Alves-Ferreira M
通讯作者:
Alves-Ferreira M
DOI:
10.1016/j.bbrc.2014.02.004
发表时间:
2014-03-07
影响因子:
3.1
作者:
Basu, Supratim;Roychoudhury, Aryadeep;Sengupta, Dibyendu N.
通讯作者:
Sengupta, Dibyendu N.
影响因子:
--
作者:
Hu R;Fan C;Li H;Zhang Q;Fu YF
通讯作者:
Fu YF
影响因子:
5.2
作者:
Lin, Y. L.;Lai, Z. X.
通讯作者:
Lai, Z. X.
影响因子:
5.6
作者:
Hao X;Horvath DP;Chao WS;Yang Y;Wang X;Xiao B
通讯作者:
Xiao B