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合成植物学

Synthetic Botany.

作者信息

Boehm Christian R, Pollak Bernardo, Purswani Nuri, Patron Nicola, Haseloff Jim

机构信息

Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, United Kingdom.

The IBM Place I, Singapore, 486072, Singapore.

出版信息

Cold Spring Harb Perspect Biol. 2017 Jul 5;9(7):a023887. doi: 10.1101/cshperspect.a023887.

Abstract

Plants are attractive platforms for synthetic biology and metabolic engineering. Plants' modular and plastic body plans, capacity for photosynthesis, extensive secondary metabolism, and agronomic systems for large-scale production make them ideal targets for genetic reprogramming. However, efforts in this area have been constrained by slow growth, long life cycles, the requirement for specialized facilities, a paucity of efficient tools for genetic manipulation, and the complexity of multicellularity. There is a need for better experimental and theoretical frameworks to understand the way genetic networks, cellular populations, and tissue-wide physical processes interact at different scales. We highlight new approaches to the DNA-based manipulation of plants and the use of advanced quantitative imaging techniques in simple plant models such as These offer the prospects of improved understanding of plant dynamics and new approaches to rational engineering of plant traits.

摘要

植物是合成生物学和代谢工程颇具吸引力的平台。植物模块化且可塑性的身体结构、光合作用能力、广泛的次生代谢以及大规模生产的农艺系统,使其成为基因重编程的理想目标。然而,该领域的研究工作受到生长缓慢、生命周期长、需要专门设施、缺乏高效基因操作工具以及多细胞复杂性等因素的制约。需要更好的实验和理论框架来理解基因网络、细胞群体以及全组织物理过程在不同尺度上的相互作用方式。我们重点介绍基于DNA的植物操作新方法以及在简单植物模型(如 )中使用先进的定量成像技术。这些方法有望增进对植物动态的理解,并为植物性状的合理工程改造提供新途径。

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