Sign in
Molecular BiologybioRxiv
Preprint

Selection of appropriate reference genes for quantitative real-time PCR in Clerodendrum trichotomum

Yajie Hua, Yuanzheng YueiD, Gongwei CheniD, Taotao Yan, Wenjie DingiD, Tingting ShiiD, Die HuiD, Lianggui WangiD, Xiulian YangiD

Abstract

AbstrsctClerodendrum trichotomum, an important medicinal plant, has excellent salt tolerance and beautiful ornamental character. However, reliable reference genes for quantitative real-time PCR data (qRT-PCR) in C. trichotomum have not been investigated. Using our previous transcriptome data, 17 reference genes were selected in different tissues (leaves, flowers, fruits, stems, and roots) and under various abiotic stresses (salt, drought, flood, and heat) for C. trichotomum, using four different reference gene analysis software types: GeNorm, NormFinder, BestKeeper and ReFinder. The results identified RPL, ACT and HSP70 as the three most suitable reference genes for tissues. Genes ACT and AP-2 were most stably expressed under drought stress; MDH and UBCE2 were stable under flooding stress; RPL and UBCE2 were most stable under salt stress; and MDH and EF-1A were most appropriate under heat stress. For abiotic treatments, RPL, MDH and AP-2 were the most stable reference genes; and AP-2, RPL and ACT were stably expressed in all examined samples. The expression profile of the genes for Na+/H+ Exchanger1 (ClNHX1) and laccase (ClLAC) were selected to validate the stability of the determined reference genes. Our study provided reliable normalization for gene expression analysis and ensured more accurate data for further molecular mechanism research in C. trichotomum.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJaiswal '19Wang '19Stephan '19Liu '21Maldonado-T '20Sarker '18
70% semantic matchGenetics
Poonam Subhash Jaiswal, Navneet Kaur, Gursharn Singh Randhawa·Crop Science·Jan 1, 2019· 27 citations