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Application of Gene Mining and Editing Technologies for Agricultural Research and Breeding

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Technologies in Plant Biotechnology and Breeding of Field Crops

Abstract

The current world population is rapidly approaching the eight billion mark, and the current projected annual increase of 1.1% will take the population to approximately ten billion people in the year 2050. Therefore, maintaining and increasing our food production systems to feed the ever-growing population is a major concern. Abiotic and biotic stresses have increased in onset, duration, and intensity, and this could be attributed to more severe cycles of climate change. These stresses will severely hamper the future output and yield from crop plant-based agricultural systems all over the world. To improve yield, genetic engineering technologies have become an attractive tool for rapidly improving plant tolerance to abiotic and biotic stresses. For this purpose, proper bioinformatic gene mining tools have laid the foundation for selecting and identifying genes for downstream editing. This chapter describes some of the gene mining tools that led to selected genes for engineering plant tolerance to abiotic and biotic stresses in the four major food crop plant families.

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Acknowledgments

Miss. Niekerk, Mr. Carelse, and Dr. Bakare were financially supported by the National Research Foundation (NRF) of South Africa (Grant numbers: 111871 and 113857). Prof. Keyster’s research was financially supported by the NRF (Grant numbers: 116346 and 109083), DST-NRF Centre of Excellence in Food Security (Project ID: 170202), GrainSA (GB0200066), and the University of the Western Cape (UWC). Dr. Klein research was financially supported by the NRF (Grant numbers: 107023 and 115280), GrainSA (GB0200065), and UWC. Dr. Gokul’s research was financially supported by the NRF (Grant number: 129493) and the University of Free State (UFS). Therefore, the authors would like to express sincere gratitude toward these funding bodies.

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Correspondence to Marshall Keyster .

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Niekerk, LA., Carelse, M.F., Bakare, O., Klein, A., Gokul, A., Keyster, M. (2022). Application of Gene Mining and Editing Technologies for Agricultural Research and Breeding. In: Kamaluddin, Kiran, U., Abdin, M.Z. (eds) Technologies in Plant Biotechnology and Breeding of Field Crops. Springer, Singapore. https://doi.org/10.1007/978-981-16-5767-2_3

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