Genomics-enabled analysis of specialized metabolism in bioenergy crops: current progress and challenges.

IF 2.6 Q2 BIOCHEMICAL RESEARCH METHODS
Synthetic biology (Oxford, England) Pub Date : 2020-06-01 eCollection Date: 2020-01-01 DOI:10.1093/synbio/ysaa005
Kira Tiedge, Andrew Muchlinski, Philipp Zerbe
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Abstract

Plants produce a staggering diversity of specialized small molecule metabolites that play vital roles in mediating environmental interactions and stress adaptation. This chemical diversity derives from dynamic biosynthetic pathway networks that are often species-specific and operate under tight spatiotemporal and environmental control. A growing divide between demand and environmental challenges in food and bioenergy crop production has intensified research on these complex metabolite networks and their contribution to crop fitness. High-throughput omics technologies provide access to ever-increasing data resources for investigating plant metabolism. However, the efficiency of using such system-wide data to decode the gene and enzyme functions controlling specialized metabolism has remained limited; due largely to the recalcitrance of many plants to genetic approaches and the lack of 'user-friendly' biochemical tools for studying the diverse enzyme classes involved in specialized metabolism. With emphasis on terpenoid metabolism in the bioenergy crop switchgrass as an example, this review aims to illustrate current advances and challenges in the application of DNA synthesis and synthetic biology tools for accelerating the functional discovery of genes, enzymes and pathways in plant specialized metabolism. These technologies have accelerated knowledge development on the biosynthesis and physiological roles of diverse metabolite networks across many ecologically and economically important plant species and can provide resources for application to precision breeding and natural product metabolic engineering.

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通过基因组学分析生物能源作物的特殊代谢:当前的进展与挑战。
植物产生的特化小分子代谢物种类繁多,在介导环境相互作用和压力适应方面发挥着重要作用。这种化学多样性来自动态的生物合成途径网络,通常具有物种特异性,并在严格的时空和环境控制下运行。在粮食和生物能源作物生产中,需求与环境挑战之间的鸿沟越来越大,这加强了对这些复杂代谢物网络及其对作物适应性贡献的研究。高通量组学技术为研究植物代谢提供了越来越多的数据资源。然而,利用这些全系统数据来解码控制专化代谢的基因和酶功能的效率仍然有限;这主要是由于许多植物对遗传方法不感兴趣,以及缺乏 "用户友好型 "生化工具来研究参与专化代谢的各种酶类。本综述以生物能源作物开关草中的萜类代谢为例,旨在说明目前在应用 DNA 合成和合成生物学工具加速植物特化代谢中基因、酶和途径的功能发现方面所取得的进展和面临的挑战。这些技术加快了对许多具有重要生态和经济价值的植物物种中不同代谢物网络的生物合成和生理作用的了解,并为精准育种和天然产品代谢工程的应用提供了资源。
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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