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Sci. Data, May 08 2024, 11 (1) | https://doi.org/10.1038/s41597-024-03305-0
Beyond NGS data sharing for plant ecological resilience and improvement of agronomic traits
Ji-Su Kwon, Jayabalan Shilpha, Junesung Lee & Seon-In Yeom
Department of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Korea.
Correspondence and requests for materials should be addressed to S.-I.Y
Abstract
Decoding complex plant omics is essential for advancing our understanding of plant biology, evolution, and breeding as well as for practical applications in agriculture, conservation, and biotechnology. The advent of Next-Generation Sequencing (NGS) has revolutionized global plant genomic research, offering high-throughput, cost-effective, and accurate methods for generating genomic data. However, challenges still exist that suggest an entirely unresolved genome characterized by high heterozygosity, extensive repetitive sequences, and complex ploidy features. In addition, individual investigation of genomic information from various genetic resources is essential for omics research, as there are differences in traits within a single breed beyond a species due to the uniqueness of sequence variation. This article provides high-quality genomic and transcriptomic insights targeted at the agronomical background.
논문정보
- Research article
- 2024년 05월 (BRIC 등록일 2024-05-13)
- 국내 연구진
- 생명과학 > 식량작물 및 원예작물
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