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超越 NGS 数据共享,实现植物生态弹性和农艺性状的改良。

Beyond NGS data sharing for plant ecological resilience and improvement of agronomic traits.

机构信息

Department of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, 52828, Korea.

出版信息

Sci Data. 2024 May 8;11(1):466. doi: 10.1038/s41597-024-03305-0.

DOI:10.1038/s41597-024-03305-0
PMID:38719829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11079010/
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.

摘要

解析复杂的植物组学对于推进我们对植物生物学、进化和育种的理解,以及在农业、保护和生物技术中的实际应用至关重要。下一代测序(NGS)的出现彻底改变了全球植物基因组研究,为生成基因组数据提供了高通量、经济高效和准确的方法。然而,仍然存在一些挑战,表明基因组存在高度杂合性、广泛的重复序列和复杂的倍性特征等问题尚未完全解决。此外,由于序列变异的独特性,同一物种内的单一品种内的性状存在差异,因此对来自各种遗传资源的基因组信息进行单独研究对于组学研究至关重要。本文提供了针对农艺背景的高质量基因组和转录组见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02ec/11079010/6b43c53f1458/41597_2024_3305_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02ec/11079010/6b43c53f1458/41597_2024_3305_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02ec/11079010/6b43c53f1458/41597_2024_3305_Fig1_HTML.jpg

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