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Validation of reference genes for RT-qPCR normalization in Iris. lactea var. chinensis leaves under different experimental conditions

文献类型： 外文期刊

作者： Gu, Chun-Sun 1 ; Liu, Liang-Qin 2 ; Deng, Yan-Ming 3 ; Zhu, Xu-Dong 2 ; Lu, Xiao-Qing 1 ; Huang, Su-Zhen 1 ;

作者机构： 1.Jiangsu Prov & Chinese Acad Sci, Inst Bot, Nanjing 210014, Jiangsu, Peoples R China

2.Nanjing Agr Univ, Coll Hort, Nanjing 210014, Jiangsu, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Agrobiotechnol, Nanjing 210014, Jiangsu, Peoples R China

关键词： Iris. lactea var. chinensis;Reference genes;RT-qPCR;Abiotic stress

期刊名称：SCIENTIA HORTICULTURAE （ 影响因子：3.463； 五年影响因子：3.672 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Iris. lactea var. chinensis (I. lactea var. chinensis) is highly tolerant of Cu, Pb, drought, NaCl and cold. To study the molecular. mechanism of L lactea var. chinensis under these stresses, it is necessary to select reliable reference genes for RT-qPCR study. In the present study, the expression stability of nine candidate reference genes, namely, beta-tubulin (TUBLIN6), ACTIN11, translation initiation factor 4A-1 (EIF4A1), cytosolic phosphoglycerate kinase (PGK),TIP41-like family protein (TIP41), glyceraldehyde-3-phosphate dehydrogenase (GAP), phosphatase 2A (PP2Acs), cyclophilin (CYP) and ubiquitin (UBQ), was assessed in L lactea var. chinensis plants subjected to five abiotic stresses using GeNorm and NormFinder. A combination of GAP, ACTIN11, TIP41, EIF4A1 and PGK was identified as appropriate genes for normalization under PEG stress, whereas the combination of UBQ PGK, TIP41 and PP2Acs was the most suitable under NaCl stress. PP2Acs, ACTIN11 and UBQ exhibited the most stable expression under Pb stress. For Cu-treated leaves, CYP, GAP and TIP41 were the most stably expressed, while GAP, PP2Acs and TIP41 for cold-treated leaves. Generally, the analyses found that TIP41, CYP, PGK, GAP and PP2Acs were the most stable genes under five abiotic stress conditions. These results would contribute the more accurate and widespread use of RT-qPCR in I. lactea var. chinensis gene analysis

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