Author Correspondence author
Biological Evidence, 2024, Vol. 14, No. 1 doi: 10.5376/be.2024.14.0005
Received: 06 Jan., 2024 Accepted: 12 Feb., 2024 Published: 22 Feb., 2024
Fu J., Hong Z.M., and Huang W.Z., 2024, Harnessing genomic tools for Cassava improvement: advances and prospects, Bioscience Evidence, 14(1): 32-38 (doi: 10.5376/be.2024.14.0005)
As an important staple crop in tropical and subtropical regions, cassava (Manihot esculenta) faces an urgent need to improve yield, nutritional value, and environmental adaptability. In recent years, the rapid development of genomic tools has brought unprecedented opportunities for cassava improvement, greatly improving the efficiency and accuracy of breeding. This research explores the integrated application of genomic tools such as high-throughput sequencing, gene editing techniques, and omics methods in cassava breeding, and their profound impact on accelerating specific trait improvement. This research discusses the implementation of high-throughput sequencing and gene editing techniques such as CRISPR/Cas9 and TALENs, which have led to precise gene modifications for disease resistance and yield improvement. In addition, it also highlights how transcriptomics, proteomics, and metabolomics can help deepen understanding of the physiological response and metabolic pathways of cassava. However, the application of these technologies faces multiple challenges, including high costs, complexity of genomic data, ethical issues of genetic modification, and unpredictability of global environmental change. Despite these obstacles, genomic tools still have promising prospects in transforming cassava breeding, providing possible solutions for food safety in developing regions. This research emphasizes the necessity of collaborative efforts to effectively utilize genomic tools and ensure that the benefits of these technologies can be widely and beneficially applied in different agricultural environments.
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. Jian Fu
. Zhongmei Hong
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. Cassava ( Manihot esculenta )
. Cassava improvement
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. High-throughput sequencing
. Gene editing
. Omics technologies
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