4.7 Article

Identification and testing of reference genes for gene expression analysis in pollen of Pyrus bretschneideri

期刊

SCIENTIA HORTICULTURAE
卷 190, 期 -, 页码 43-56

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scienta.2015.04.010

关键词

Pollen; BestKeeper; GeNorm; NormFinder; Reference gene; Pear

资金

  1. Fund for Independent Innovation of Agricultural Sciences in Jiangsu Province [CX(13)3010]
  2. National Natural Science Foundation of China [31230063, 31272119, 31171936]
  3. Doctoral Fund of Ministry of Education of China [20110097110029, 20120097110041]
  4. National Natural Science Foundation of Jiangsu Province [BK2012366]
  5. Jiangsu Province Science and Technology Support Program, China [BE2014400, BE2014334]

向作者/读者索取更多资源

Quantitative real-time PCR (qRT-PCR) is the preferred method for accurate analysis of targeted gene expression. The aim of this study was to validate optimal reference genes for qRT-PCR analyses in pear pollen. Ten candidate reference genes were chosen and examined in 36 pear samples. Among these, PbrEF1 alpha, PbrGAPDH and PbrAPT were developed to detect the purity of cDNA. Three qRT-PCR analysis programs, geNorm, NormFinder and BestKeeper, were applied for systematic determinations. The results showed that all the candidate reference genes could be used for qRT-PCR normalization in pear pollen. PbrEF1 alpha was the most stable reference gene across all abiotic stresses of pollen samples, especially for high temperature, N-butyl alcohol and NaCl treatments, and also during pollen development. PbrTUB was the optimal reference gene for pear tissue expression. PbrGAPDH was suitable for low temperature treatment and PbrPP2A was suitable for abscisic acid and also for NaCl treatment. For CuCl2 treatment, either of reference genes PbrCYP and PbrUBI was suitable. To illustrate the suitability of these reference genes, the expression profile of PbrVHA-a was used to analyze the expression patterns in different pear tissues, pollen developing stages and NaCl treatment. The results provide a valuable resource for gene expression characterization in pear pollen. (C) 2015 Elsevier B.V. All rights reserved.

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