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Genome-Wide Prediction of Disease Resistance Gene Analogs in Flax

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The Flax Genome

Part of the book series: Compendium of Plant Genomes ((CPG))

Abstract

Flax (Linum usitatissimum L.) is an important crop as the sources of fiber and seed oil. Annually, various pathogens cause significant loss to flax production. Thus, finding the underlying genetic bases for plant resistance to pathogens is essential for plant geneticists and breeders. Several types of resistance gene analogs (RGAs) such as NBS-LRR, RLK, RLP, and TM-CC play roles as pathogen invasion sensors or in the signal transduction pathways of hypersensitive response. Genome-wide RGA prediction facilitates resistance gene identification, gene cloning, and biological function verification. Because of significant structural features and conserved domains and motifs exist in various RGAs, computational approaches are effective for predicting and screening genome-wide RGAs. In this context, some bioinformatics pipelines for RGA prediction have been developed. This chapter reviews the recent progress of bioinformatics pipelines and their applications in flax resistance gene studies.

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  1. Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON, K1A 0C6, Canada

    Pingchuan Li & Frank M. You

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    Frank M. You

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Li, P., You, F.M. (2023). Genome-Wide Prediction of Disease Resistance Gene Analogs in Flax. In: You, F.M., Fofana, B. (eds) The Flax Genome. Compendium of Plant Genomes. Springer, Cham. https://doi.org/10.1007/978-3-031-16061-5_10

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