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High-throughput identification of chrysanthemum gene function and expression: An overview and an effective proposition
J Plant Biotechnol 2021;48:139-147
Published online September 30, 2021
© 2021 The Korean Society for Plant Biotechnology.

Toan Khac Nguyen ・Jin Hee Lim

(Department of Plant Biotechnology, Sejong University, Seoul 05006, Korea)
Correspondence to: e-mail:
Received July 4, 2021; Revised July 28, 2021; Accepted July 28, 2021.
cc This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Since whole-genome duplication (WGD) of diploid Chrysanthemum nankingense and de novo assembly whole-genome of C. seticuspe have been obtained, they have afforded to perceive the diversity evolution and gene discovery in the improved investigation of chrysanthemum breeding. The robust tools of high-throughput identification and analysis of gene function and expression produce their vast importance in chrysanthemum genomics. However, the gigantic genome size and heterozygosity are also mentioned as the major obstacles preventing the chrysanthemum breeding practices and functional genomics analysis. Nonetheless, some of technological contemporaries provide scientific efficient and promising solutions to diminish the drawbacks and investigate the high proficient methods for generous phenotyping data obtaining and system progress in future perspectives. This review provides valuable strategies for a broad overview about the high-throughput identification, and molecular analysis of gene function and expression in chrysanthemum. We also contribute the efficient proposition about specific protocols for considering chrysanthemum genes. In further perspective, the proper high-throughput identification will continue to advance rapidly and advertise the next generation in chrysanthemum breeding.
Keywords : Chrysanthemum breeding, Gene expression, Gene function, Genomics analysis, High‐throughput sequencing, Phenotyping data

September 2021, 48 (3)
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