Pairing omics to decode the diversity of plant specialized metabolism

IF 8.3 2区生物学 Q1 PLANT SCIENCES

Current opinion in plant biology Pub Date : 2024-11-10 DOI:10.1016/j.pbi.2024.102657

Felicia C. Wolters , Elena Del Pup , Kumar Saurabh Singh , Klaas Bouwmeester , M. Eric Schranz , Justin J.J. van der Hooft , Marnix H. Medema

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引用次数: 0

Abstract

Plants have evolved complex bouquets of specialized natural products that are utilized in medicine, agriculture, and industry. Untargeted natural product discovery has benefitted from growing plant omics data resources. Yet, plant genome complexity limits the identification and curation of biosynthetic pathways via single omics. Pairing multi-omics types within experiments provides multiple layers of evidence for biosynthetic pathway mining. The extraction of paired biological information facilitates connecting genes to transcripts and metabolites, especially when captured across time points, conditions and chemotypes. Experimental design requires specific adaptations to enable effective paired-omics analysis. Ultimately, metadata standards are required to support the integration of paired and unpaired public datasets and to accelerate collaborative efforts for natural product discovery in the plant research community.

查看原文本刊更多论文

配对 omics，解码植物特化代谢的多样性。

植物进化出了复杂的特殊天然产品，可用于医药、农业和工业。非靶向天然产品的发现得益于不断增长的植物全局数据资源。然而，植物基因组的复杂性限制了通过单一全局组学识别和整理生物合成途径。将实验中的多组学类型配对可为生物合成途径挖掘提供多层证据。提取配对的生物信息有助于将基因与转录物和代谢物联系起来，尤其是在跨时间点、条件和化学类型的情况下。实验设计需要特定的调整，以便进行有效的配对组学分析。最终，需要制定元数据标准，以支持配对和非配对公共数据集的整合，并加快植物研究界发现天然产品的协作努力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current opinion in plant biology 生物-植物科学

CiteScore

16.30

自引率

3.20%

发文量

131

审稿时长

6-12 weeks

期刊介绍： Current Opinion in Plant Biology builds on Elsevier's reputation for excellence in scientific publishing and long-standing commitment to communicating high quality reproducible research. It is part of the Current Opinion and Research (CO+RE) suite of journals. All CO+RE journals leverage the Current Opinion legacy - of editorial excellence, high-impact, and global reach - to ensure they are a widely read resource that is integral to scientists' workflow.