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Published online 23 September 2008
Published in Crop Sci 48:1881-1887 (2008)
© 2008 Crop Science Society of America
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GENOMICS, MOLECULAR GENETICS & BIOTECHNOLOGY

Evaluation of Reference Genes for Quantitative RT-PCR in Lolium perenne

Ruth C. Martin, Vicky G. Hollenbeck and James E. Dombrowski*

USDA-ARS, National Forage Seed Production Research Center, 3450 S.W. Campus Way, Corvallis, OR 97331

* Corresponding author (dombrowj{at}onid.orst.edu).

Quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) provides an important tool for analyzing gene expression if proper internal standards are used. The aim of this study was to identify and evaluate reference genes for use in real-time quantitative RT-PCR in perennial ryegrass (Lolium perenne L.) during plant development. Partial sequences of nine L. perenne housekeeping genes were obtained by RT-PCR using degenerate primers designed from the corresponding genes in closely related species. Primers for quantitative RT-PCR were designed based on partial sequences. The housekeeping genes were evaluated for their expression stability in different tissues at various stages of development. The analysis found that eEF-1{alpha} and eIF-4a were the most stable and β-TUB was the least stable of the genes tested when all tissues were analyzed together. Analysis by geNorm indicated that the four most stably expressed housekeeping genes (eEF-1{alpha}, eIF-4a, 25S rRNA, and GAPDH) should be utilized when normalizing gene expression during plant developmental studies. For root crown tissues at different stages of development, eIF-4a and 25S rRNA were the most stably expressed of the housekeeping genes tested. In leaf tissues, eEF-1{alpha} and UBQ5 were the most stably expressed of the housekeeping genes tested. We found that using two housekeeping genes as reference genes is sufficient during RT-PCR gene expression studies when analyzing either root crown or leaf tissues during different stages of development.

Abbreviations: AFLP, amplified fragment length polymorphism • PCR, polymerase chain reaction • RT-PCR, reverse transcription-polymerase chain reaction • SAGE, Serial Analysis of Gene Expression • SSH, suppression subtractive hybridization







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