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Plant reference genes for development and stress response studies

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Abstract

Many reference genes are used by different laboratories for gene expression analyses to indicate the relative amount of input RNA/DNA in the experiment. These reference genes are supposed to show least variation among the treatments and with the control sets in a given experiment. However, expression of reference genes varies significantly from one set of experiment to the other. Thus, selection of reference genes depends on the experimental conditions. Sometimes the average expression of two or three reference genes is taken as standard. This review consolidated the details of about 120 genes attempted for normalization during comparative expression analysis in 16 different plants. Plant species included in this review are Arabidopsis thaliana, cotton (Gossypium hirsutum), tobacco (Nicotiana benthamiana and N. tabacum), soybean (Glycine max), rice (Oryza sativa), blueberry (Vaccinium corymbosum), tomato (Solanum lycopersicum), wheat (Triticum aestivum), potato (Solanum tuberosum), sugar cane (Saccharum sp.), carrot (Daucus carota), coffee (Coffea arabica), cucumber (Cucumis sativus), kiwi (Actinidia deliciosa) and grape (Vitis vinifera). The list includes model and cultivated crop plants from both monocot and dicot classes. We have categorized plant-wise the reference genes that have been used for expression analyses in any or all of the four different conditions such as biotic stress, abiotic stress, developmental stages and various organs and tissues, reported till date. This review serves as a guide during the reference gene hunt for gene expression analysis studies.

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  1. Department of Plant Science, Central University of Kerala, Padannakkad, Kasaragod, 671 314, India

    Joyous T Joseph, Najya Jabeen Poolakkalody & Jasmine M Shah

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  1. Joyous T Joseph
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  2. Najya Jabeen Poolakkalody
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Corresponding editor: Ashis Kumar Nandi

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Joseph, J.T., Poolakkalody, N.J. & Shah, J.M. Plant reference genes for development and stress response studies. J Biosci 43, 173–187 (2018). https://doi.org/10.1007/s12038-017-9728-z

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