LbCML38 and LbRH52, two reference genes derived from RNA-Seq data suitable for assessing gene expression in Lycium barbarum L.

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作者
Lei Gong
Yajun Yang
Yuchao Chen
Jing Shi
Yuxia Song
Hongxia Zhang
机构
[1] Ningxia Key Laboratory for Agrobiotechnology,
[2] Agricultural Bio-Technology Center,undefined
[3] Ningxia Academy of Agriculture and Forestry Science,undefined
[4] School of Life Sciences,undefined
[5] Ningxia University,undefined
[6] National Key Laboratory of Plant Molecular Genetics,undefined
[7] Shanghai Institute of Plant Physiology and Ecology,undefined
[8] Chinese Academy of Sciences,undefined
[9] College of Agriculture,undefined
[10] Ludong University,undefined
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For quantitative real-time PCR (qRT-PCR) analysis, the key prerequisite that determines result accuracy is the selection of appropriate reference gene(s). Goji (Lycium barbarum L.) is a multi-branched shrub belonging to the Solanaceae family. To date, no systematic screening or evaluation of reference gene(s) in Goji has been performed. In this work, we identified 18 candidate reference genes from the transcriptomic sequencing data of 14 samples of Goji at different developmental stages and under drought stress condition. The expression stability of these candidate genes was rigorously analyzed using qRT-PCR and four different statistical algorithms: geNorm, BestKeeper, NormFinder and RefFinder. Two novel reference genes LbCML38 and LbRH52 showed the most stable expression, whereas the traditionally used reference genes such as LbGAPDH, LbHSP90 and LbTUB showed unstable expression in the tested samples. Expression of a target gene LbMYB1 was also tested and compared using optimal reference genes LbCML38 and LbRH52, mediocre reference gene LbActin7, and poor reference gene LbHSP90 as normalization standards, respectively. As expected, calculation of the target gene expression by normalization against LbCML38, LbActin7 or LbHSP90 showed significant differences. Our findings suggest that LbCML38 and LbRH52 can be used as reference genes for gene expression analysis in Goji.
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