通过合成生物学改变大米中类前体的生物合成
Orio Basallo1,2, Lucia Perez3,4, Abel Lucido1,2
1Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain.
Frontiers in plant science
|July 19, 2023
概括
具有额外通路的工程大米通过增加异二酸盐 (IPP) 和二甲基二酸盐 (DMAPP) 来增加有价值的类素的产生. 数学模型预测植物的变化,并优化未来的代谢工程策略.
科学领域:
- 植物生物技术 植物生物技术
- 代谢工程是代谢工程.
- 合成生物学 合成生物学
- 系统生物学 系统生物学
背景情况:
- 类是制药,化品和生物医学行业至关重要的高价值化合物.
- 植物类生物合成依赖于异二酸盐 (IPP) 和二甲基亚酸盐 (DMAPP) 单体,通过美酸 (MVA) 和甲基四酸盐 (MEP) 途径产生.
- 在植物中增加IPP/DMAPP流量是具有挑战性的,因为它们是植物激素的前体.
研究的目的:
- 发现,理解和预测工厂增加IPP/DMAPP产量的影响.
- 利用合成生物学开发具有增强基前体合成能力的品种.
- 创建以数据为中心的数学模型来分析工程路径对植物表型和新陈代谢的影响.
主要方法:
- 在塑体中形成带有异位MVA通路的线.
- 收集表型,基因表达,异oprenoid 含量和荷尔蒙丰度数据.
- 开发和分析集成分子和宏观数据的特定线路的多层次数学模型.
主要成果:
- 数学模型成功地整合了分子和宏观数据,将激素变异和基因表达与植物表型和代谢物度联系起来.
- 这些模型预测了受外源IPP/DMAPP生物合成途径影响的类前体的流量.
- 从分子数据中量化植物激素对IPP/DMAPP通路动态的影响,并预测植物特征 (高度,叶子大小,叶绿素).
结论:
- 具有额外MVA通路的工程大米线显示了增加类前体生产的潜力.
- 数据中心的数学模型为了解植物中复杂的代谢工程效应提供了强大的工具.
- 开发的模型可以指导未来优化外源途径的战略,以实现植物中特定的代谢目标.
更多相关视频
08:56Transient Expression in Nicotiana Benthamiana Leaves for Triterpene Production at a Preparative Scale
Published on: August 16, 2018
17.3K
07:43Agrobacterium-Mediated Genetic Transformation, Transgenic Production, and Its Application for the Study of Male Reproductive Development in Rice
Published on: October 6, 2020
12.5K
相关概念视频
Synthetic Biology
4.9K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Golden rice
Golden rice is a genetically modified...
4.9K
Plant Breeding and Biotechnology
19.0K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
19.0K
Biosynthesis of Lipids
40
Microbial membranes exhibit remarkable diversity in lipid composition, reflecting evolutionary adaptations to various environmental conditions. The three domains of life—Bacteria, Archaea, and Eukarya—synthesize membrane lipids through distinct biosynthetic pathways, leading to fundamental structural differences that impact membrane stability, function, and adaptability.Fatty Acid-Based Lipids in Bacteria and EukaryaBacteria and eukaryotes share a common fatty acid biosynthesis...
40
Biosynthesis in Bacteria
41
Biosynthesis in bacteria is a fundamental anabolic process that generates essential macromolecules, including proteins, nucleic acids, lipids, and polysaccharides. These macromolecules are critical for cellular growth, replication, and function. The process is tightly regulated and energetically linked to catabolic pathways to ensure optimal resource utilization.Biosynthetic pathways begin with precursor metabolites such as pyruvate, acetyl-CoA, and glucose-6-phosphate derived from glycolysis,...
41
Biosynthesis of Polysaccharides
40
Polysaccharides such as glycogen and starch are synthesized from nucleoside diphosphate sugars, primarily uridine diphosphate glucose (UDPG) and adenosine diphosphate glucose (ADPG). These activated glucose donors act as key intermediates in carbohydrate metabolism and biosynthesis. UDPG primarily involves glycogen synthesis in animals and many bacteria, while ADPG plays a fundamental role in starch synthesis in plants and certain bacteria.UDPG is formed when glucose-1-phosphate reacts with...
40
Amino Acid Biosynthetic Pathways
38
Amino acid biosynthesis is essential for cell growth, protein synthesis, and metabolic regulation. Cells generate essential and non-essential amino acids from metabolic intermediates to sustain vital biological functions. These intermediates originate from key metabolic pathways: glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway. Important precursors include α-ketoglutarate, pyruvate, oxaloacetate, phosphoenolpyruvate, and erythrose-4-phosphate, which...
38
