Canadian Forest Service Publications

In Silico Mining and PCR-Based Approaches to Transcription Factor Discovery in Non-model Plants: Gene Discovery of the WRKY Transcription Factors in Conifers. 2011. Liu, J.-J.; Xiang, Y. Pages 21-43 (Chapter 2) in L. Yuan and S.E. Perry, editors. Plant Transcription Factors : Methods and Protocols, Methods in Molecular Biology 754. Humana Press, c/o Springer Science+Business Media, LLC, New York, NY.

Year: 2011

Issued by: Pacific Forestry Centre

Catalog ID: 32589

Language: English

Availability: PDF (request by e-mail)

Available from the Journal's Web site.
DOI: 10.1007/978-1-61779-154-3

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WRKY transcription factors are key regulators of numerous biological processes in plant growth and development, as well as plant responses to abiotic and biotic stresses. Research on biological functions of plant WRKY genes has focused in the past on model plant species or species with largely characterized transcriptomes. However, a variety of non-model plants, such as forest conifers, are essential as feed, biofuel, and wood or for sustainable ecosystems. Identification of WRKY genes in these non-model plants is equally important for understanding the evolutionary and function-adaptive processes of this transcription factor family. Because of limited genomic information, the rarity of regulatory gene mRNAs in transcriptomes, and the sequence divergence to model organism genes, identification of transcription factors in non-model plants using methods similar to those generally used for model plants is difficult. This chapter describes a gene family discovery strategy for identification of WRKY transcription factors in conifers by a combination of in silico-based prediction and PCR-based experimental approaches. Compared to traditional cDNA library screening or EST sequencing at transcriptome scales, this integrated gene discovery strategy provides fast, simple, reliable, and specific methods to unveil the WRKY gene family at both genome and transcriptome levels in non-model plants.