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CRAGE-mediated insertion of fluorescent chromosomal markers for accurate and scalable measurement of co-culture dynamics in Escherichia coli. crage介导的插入荧光染色体标记用于大肠杆菌共培养动力学的准确和可扩展测量。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-09-03 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa015
Avery J C Noonan, Yilin Qiu, Joe C H Ho, Jewel Ocampo, K A Vreugdenhil, R Alexander Marr, Zhiying Zhao, Yasuo Yoshikuni, Steven J Hallam

Monitoring population dynamics in co-culture is necessary in engineering microbial consortia involved in distributed metabolic processes or biosensing applications. However, it remains difficult to measure strain-specific growth dynamics in high-throughput formats. This is especially vexing in plate-based functional screens leveraging whole-cell biosensors to detect specific metabolic signals. Here, we develop an experimental high-throughput co-culture system to measure and model the relationship between fluorescence and cell abundance, combining chassis-independent recombinase-assisted genome engineering (CRAGE) and whole-cell biosensing with a PemrR-green fluorescent protein (GFP) monoaromatic reporter used in plate-based functional screening. CRAGE was used to construct Escherichia coli EPI300 strains constitutively expressing red fluorescent protein (RFP) and the relationship between RFP expression and optical density (OD600) was determined throughout the EPI300 growth cycle. A linear equation describing the increase of normalized RFP fluorescence during deceleration phase was derived and used to predict biosensor strain dynamics in co-culture. Measured and predicted values were compared using flow cytometric detection methods. Induction of the biosensor lead to increased GFP fluorescence normalized to biosensor cell abundance, as expected, but a significant decrease in relative abundance of the biosensor strain in co-culture and a decrease in bulk GFP fluorescence. Taken together, these results highlight sensitivity of population dynamics to variations in metabolic activity in co-culture and the potential effect of these dynamics on the performance of functional screens in plate-based formats. The engineered strains and model used to evaluate these dynamics provide a framework for optimizing growth of synthetic co-cultures used in screening, testing and pathway engineering applications.

监测群体动态在共培养是必要的工程微生物财团参与分布代谢过程或生物传感应用。然而,在高通量格式中测量菌株特异性生长动力学仍然很困难。这在利用全细胞生物传感器检测特定代谢信号的平板功能屏幕中尤其令人烦恼。在这里,我们开发了一个实验高通量共培养系统来测量和模拟荧光与细胞丰度之间的关系,结合了底盘独立重组酶辅助基因组工程(CRAGE)和全细胞生物传感,以及用于基于平板的功能筛选的pemmr -绿色荧光蛋白(GFP)单芳香报告基因。利用CRAGE构建表达红色荧光蛋白(RFP)的大肠杆菌EPI300菌株,并在EPI300生长周期内测定RFP表达与光密度(OD600)的关系。导出了描述归一化RFP荧光在减速阶段增加的线性方程,并用于预测共培养中的生物传感器菌株动态。用流式细胞术检测方法比较实测值和预测值。正如预期的那样,诱导生物传感器导致GFP荧光增加,归一化为生物传感器细胞丰度,但在共培养中,生物传感器菌株的相对丰度显著下降,总体GFP荧光下降。综上所述,这些结果突出了群体动态对共培养中代谢活动变化的敏感性,以及这些动态对基于平板格式的功能屏幕性能的潜在影响。用于评估这些动态的工程菌株和模型为优化用于筛选,测试和途径工程应用的合成共培养物的生长提供了框架。
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引用次数: 3
Rosa26 docking sites for investigating genetic circuit silencing in stem cells. 用于研究干细胞基因回路沉默的 Rosa26 对接位点。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-08-19 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa014
Michael Fitzgerald, Mark Livingston, Chelsea Gibbs, Tara L Deans

Approaches in mammalian synthetic biology have transformed how cells can be programmed to have reliable and predictable behavior, however, the majority of mammalian synthetic biology has been accomplished using immortalized cell lines that are easy to grow and easy to transfect. Genetic circuits that integrate into the genome of these immortalized cell lines remain functional for many generations, often for the lifetime of the cells, yet when genetic circuits are integrated into the genome of stem cells gene silencing is observed within a few generations. To investigate the reactivation of silenced genetic circuits in stem cells, the Rosa26 locus of mouse pluripotent stem cells was modified to contain docking sites for site-specific integration of genetic circuits. We show that the silencing of genetic circuits can be reversed with the addition of sodium butyrate, a histone deacetylase inhibitor. These findings demonstrate an approach to reactivate the function of genetic circuits in pluripotent stem cells to ensure robust function over many generations. Altogether, this work introduces an approach to overcome the silencing of genetic circuits in pluripotent stem cells that may enable the use of genetic circuits in pluripotent stem cells for long-term function.

哺乳动物合成生物学的方法改变了如何对细胞进行编程,使其具有可靠和可预测的行为,然而,大多数哺乳动物合成生物学都是利用易于生长和易于转染的永生化细胞系完成的。整合到这些永生化细胞系基因组中的基因回路可在许多代内保持功能,通常是在细胞的一生中保持功能,但当基因回路整合到干细胞基因组中时,在几代内就会观察到基因沉默。为了研究干细胞中沉默基因回路的重新激活,我们对小鼠多能干细胞的 Rosa26 基因座进行了改造,使其含有基因回路特异性整合的对接位点。我们发现,加入组蛋白去乙酰化酶抑制剂丁酸钠可逆转基因回路的沉默。这些研究结果展示了一种在多能干细胞中重新激活基因回路功能的方法,以确保基因回路在多代后仍能发挥强大功能。总之,这项工作介绍了一种克服多能干细胞中基因回路沉默的方法,可使多能干细胞中的基因回路发挥长期功能。
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引用次数: 0
Designing for durability: new tools to build stable, non-repetitive DNA. 耐久性设计:构建稳定、非重复DNA的新工具。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-08-19 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa016
Pablo Cárdenas
The survival of genetic information hinges on identifying repetition. Genomes are repaired by mechanisms such as homologous recombination, in which matching DNA sequences are used as a template to replace missing information. This strategy works provided sequences in the genome are mostly unique. While sequence diversity has kept genomes stable enough to replicate for millions of years, it poses a problem for those trying to engineer DNA (1). After all, one of the central tenets of synthetic biology is the reutilization of standard parts. How, then, can we design stable, non-repetitive genetic systems with a limited toolkit of synthetic parts? Researchers in Howard Salis’s lab at Pennsylvania State University set out to address this challenge through the Non-Repetitive Parts Calculator (NRPC), a set of new algorithms described in a recent publication by Hossain et al. (2) and available online (https://sali slab.net/software/). As the name implies, NRPC builds collections of biological parts containing minimal repetitive sequences, where the repetitiveness of a collection is defined by Lmax, the maximum length of the longest shared repeat. Collections can be created using two different modes. The ‘Finder’ mode determines the largest subset of nonrepetitive elements within any given database of parts, given a maximum Lmax set by the user. The sheer number of possible subsets to evaluate can make this computationally impractical for large libraries. The authors solve this problem by representing parts as nodes on a graph and improving on existing algorithms in graph theory to efficiently maximize the number of disconnected components. The ‘Maker’ mode creates a new library of non-repetitive parts within the design constraints set by the user, which may include a degenerate DNA sequence or RNA structure template and a set Lmax value. In this case, all possible sequences are represented as a decision tree and hash tables are used to store and check for occurrences of sub-sequences within parts. Hossain et al. tested their new ‘Maker’ algorithm by generating libraries of 4350 synthetic, non-repetitive bacterial promoters and 1722 yeast promoters, designed to have a wide range of transcription rates. The authors validated each library’s predicted transcriptional behavior by assembling and characterizing every promoter through next-generation DNA and RNA sequencing in Escherichia coli and Saccharomyces cerevisiae. The increased stability of NRPC designs was demonstrated in E. coli by comparing versions of a construct with either repetitive or non-repetitive promoters. The former rapidly lost fluorescence and DNA content while the latter remained stable. Finally, the authors applied regression models and neural networks developed elsewhere (3) to explain and predict the strength of the synthetic promoters they created. This work can have tremendous, immediate impact in two ways. Not only did Hossain et al. produce vast libraries of bacterial and yeast pro
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引用次数: 2
Reprogramming the proteome for cell-free protein expression. 重编程蛋白质组以实现无细胞蛋白表达。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-08-10 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa013
Tetsuhiro Harimoto
Living cells produce countless numbers of valuable compounds. By engineering these living ‘biofactories’, synthetic biologists have been making novel molecules that can be used for medicine, food, energy and everyday applications. However, crosstalk between engineered modules and host factors can significantly interfere with biomolecule production by competing for common resources. To address this challenge, scientists have been trying to minimize unwanted crosstalk between the host and synthetic networks by deleting proteins that drain resources such as proteases and metabolizing enzymes. In a recent study in the journal Nature Communications, the research team from Cheemeng Tan’s group at the University of California in Davis took a novel approach (1). Instead of minimizing crosstalk, they intentionally re-engineered crosstalk between the host and synthetic networks in order to create a more favorable environment for protein synthesis. This ‘holistic’ engineering approach achieved a global proteome reprogramming and enabled the production of complex proteins. The research team, led by Luis E. Contreras-Llano and Conary Meyer, utilized a cell-free protein synthesis system to construct consortia of bacteria, each expressing core proteins involved with protein translation. Because expressing multiple proteins in a single strain results in high metabolic burdens to the cells, distribution of the labor between the members of the consortium can improve overall protein expression. In addition, the use of this consortium enabled a rapid investigation of multiple pathways by inoculating different combinations of bacterial cells (2). To prepare the cell-free expression system, the researchers simply obtained cell lysates from the consortia without the need to purify and supplement individual proteins. The researchers first tested the protein expression capability of their consortia by measuring deGFP levels. They tested 18and 7-strain consortia expressing various initiation, elongation and termination factors, as well as aminoacyl-tRNA transferases, and found their expression levels to be comparable. In comparison to the wildtype bacteria and commercially available expression system (S30 T7 system), the consortium demonstrated >2-fold increase in deGFP production. Interestingly, when the team investigated the underlying mechanism of the improvement, they found that simple addition of translation machineries did not fully explain the increase in protein synthesis. Thus, they hypothesized that the overexpression of translation machineries in cells led to host reprogramming of the proteome that favors protein synthesis. To investigate the shift in the proteome, the researchers analyzed protein composition using mass spectrometry. They found that the consortium indeed exhibited a global proteome shift compared to the controls, resulting in changes in the expression level of more than 700 proteins. Importantly, these changes were associated with upregulation
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引用次数: 0
Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol. 工程大肠杆菌重新生产门房(2S)-黄酮:柚皮素、匹诺曹素、碘二醇和同碘二醇。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-08-06 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa012
Mark S Dunstan, Christopher J Robinson, Adrian J Jervis, Cunyu Yan, Pablo Carbonell, Katherine A Hollywood, Andrew Currin, Neil Swainston, Rosalind Le Feuvre, Jason Micklefield, Jean-Loup Faulon, Rainer Breitling, Nicholas Turner, Eriko Takano, Nigel S Scrutton

Natural plant-based flavonoids have drawn significant attention as dietary supplements due to their potential health benefits, including anti-cancer, anti-oxidant and anti-asthmatic activities. Naringenin, pinocembrin, eriodictyol and homoeriodictyol are classified as (2S)-flavanones, an important sub-group of naturally occurring flavonoids, with wide-reaching applications in human health and nutrition. These four compounds occupy a central position as branch point intermediates towards a broad spectrum of naturally occurring flavonoids. Here, we report the development of Escherichia coli production chassis for each of these key gatekeeper flavonoids. Selection of key enzymes, genetic construct design and the optimization of process conditions resulted in the highest reported titers for naringenin (484 mg/l), improved production of pinocembrin (198 mg/l) and eriodictyol (55 mg/l from caffeic acid), and provided the first example of in vivo production of homoeriodictyol directly from glycerol (17 mg/l). This work provides a springboard for future production of diverse downstream natural and non-natural flavonoid targets.

天然植物类黄酮类化合物由于其潜在的健康益处,包括抗癌、抗氧化和抗哮喘活性,已经引起了人们的极大关注。柚皮素、桂皮素、碘二醇和同碘二醇被归类为(2S)-黄烷酮,是天然存在的黄酮类化合物的重要亚群,在人体健康和营养方面有着广泛的应用。这四种化合物作为分支点中间体占据中心位置,朝向天然存在的类黄酮的广谱。在这里,我们报告了大肠杆菌生产这些关键的看门人类黄酮的底盘的发展。通过关键酶的选择、基因结构设计和工艺条件的优化,获得了柚皮素(484 mg/l)的最高滴度,提高了从咖啡酸中提取匹诺皮素(198 mg/l)和碘二醇(55 mg/l)的产量,并首次在体内直接从甘油(17 mg/l)中提取同戊二醇。这项工作为未来生产各种下游天然和非天然类黄酮靶点提供了一个跳板。
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引用次数: 32
DNA-BOT: a low-cost, automated DNA assembly platform for synthetic biology. DNA- bot:用于合成生物学的低成本、自动化DNA组装平台。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-07-09 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa010
Marko Storch, Matthew C Haines, Geoff S Baldwin

Multi-part DNA assembly is the physical starting point for many projects in Synthetic and Molecular Biology. The ability to explore a genetic design space by building extensive libraries of DNA constructs is essential for creating programmed biological systems. With multiple DNA assembly methods and standards adopted in the Synthetic Biology community, automation of the DNA assembly process is now receiving serious attention. Automation will enable larger builds using less researcher time, while increasing the accessible design space. However, these benefits currently incur high costs for both equipment and consumables. Here, we address this limitation by introducing low-cost DNA assembly with BASIC on OpenTrons (DNA-BOT). For this purpose, we developed an open-source software package and demonstrated the performance of DNA-BOT by simultaneously assembling 88 constructs composed of 10 genetic parts, evaluating the promoter, ribosome binding site and gene order design space for a three-gene operon. All 88 constructs were assembled with high accuracy, at a consumables cost of $1.50-$5.50 per construct. This illustrates the efficiency, accuracy and affordability of DNA-BOT, making it accessible for most labs and democratizing automated DNA assembly.

多部分DNA组装是合成生物学和分子生物学中许多项目的物理起点。通过建立广泛的DNA构建文库来探索基因设计空间的能力对于创建程序化的生物系统至关重要。随着合成生物学领域采用多种DNA组装方法和标准,DNA组装过程的自动化正在受到重视。自动化将使用更少的研究人员时间实现更大的构建,同时增加可访问的设计空间。然而,这些好处目前会导致设备和消耗品的高成本。在这里,我们通过在OpenTrons上引入低成本的DNA组装(DNA- bot)来解决这一限制。为此,我们开发了一个开源软件包,通过同时组装由10个遗传部分组成的88个构建体,评估三个基因操纵子的启动子、核糖体结合位点和基因顺序设计空间,展示了DNA-BOT的性能。所有88个结构都以高精度组装,每个结构的消耗品成本为1.50- 5.50美元。这说明了DNA- bot的效率、准确性和可负担性,使大多数实验室都可以使用它,并使自动化DNA组装民主化。
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引用次数: 41
BEAMS: a workforce development program to bridge the gap between biologists and material scientists. beam:一个劳动力发展项目,旨在弥合生物学家和材料科学家之间的差距。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-06-19 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa009
Marilyn S Lee, Matthew W Lux, Jared B DeCoste

To maximize innovation in materials science and synthetic biology, it is critical to master interdisciplinary understanding and communication within an organization. Programming aimed at this juncture has the potential to bring members of the workforce together to frame new networks and spark collaboration. In this article, we recognize the potential synergy between materials and synthetic biology research and describe our approach to this challenge as a case study. A workforce development program was devised consisting of a lecture series, laboratory demonstrations and a hands-on laboratory competition to produce a bacterial cellulose material with the highest tensile strength. This program, combined with support for infrastructure and research, resulted in a significant return on investment with new externally funded synthetic biology for materials programs for our organization. The learning elements described here may be adapted by other institutions for a variety of settings and goals.

为了使材料科学和合成生物学的创新最大化,掌握组织内部跨学科的理解和沟通是至关重要的。针对这一关键时刻的编程有可能将劳动力成员聚集在一起,构建新的网络并激发合作。在本文中,我们认识到材料和合成生物学研究之间的潜在协同作用,并将我们的方法作为案例研究来描述这一挑战。设计了一个劳动力发展计划,包括一系列讲座、实验室演示和动手实验室竞赛,以生产具有最高拉伸强度的细菌纤维素材料。这个项目,结合对基础设施和研究的支持,为我们的组织带来了新的外部资助的合成生物学材料项目的巨大投资回报。这里描述的学习要素可以由其他机构根据各种环境和目标进行调整。
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引用次数: 0
Structure determines function-the role of topology in the functionality of gene circuits. 结构决定功能——拓扑学在基因回路功能中的作用。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-06-19 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa008
Daniel Bojar
As synthetic biologists, we sometimes forget the toggle switch and the self-activating switch, the foundational advances that launched the entire field of synthetic biology a mere two decades ago. As the first in a long line of increasingly sophisticated gene circuits with applications in biocomputing and biomedical therapies, these combinations of genetic parts in the humble bacterium Escherichia coli demonstrated that biology can—in principle—be programmed. In a recent study in the journal Nature Chemical Biology (1), Zhang et al. from the group of XiaoJun Tian at Arizona State University revisited the toggle switch and the self-activating switch, demonstrating the differential impact of cell division and growth on the function of these circuits, which could make some circuit designs unviable in the environment of dilution or growth characterizing many applications. As the output of the self-activating switch activates its own transcription, it should exhibit a stable ON-state beyond a certain inducer threshold. Yet what Zhang et al. discovered was that, once these green fluorescent protein (GFP)-positive, ONstate bacteria are diluted, the formerly stable ON-state disintegrates and the bacteria were suddenly indistinguishable from those that were never stimulated in the first place. Theory and their mathematical models, however, predicted that these once-ON-bacteria would remain ON, even after dilution. The supposedly stable memory of the self-activating switch was broken by a simple dilution. The hidden variable that accounted for the circuit’s memory lapse was growth. It has been recently appreciated that gene circuits place a metabolic burden on cells and therefore inhibit growth (2), while Zhang et al. additionally discovered that growth inhibited the functionality of their gene circuit. This resulted in a seesaw dynamic after diluting cells into medium rich with inducer: first, GFP fluorescence crashed, and then, after cell growth subsided, GFP resumed production. Factoring in the interfacing of growth and gene circuit into their models indeed resolved any unexplained differences in circuit memory. Interestingly, dilution into conditioned rather than fresh medium, thus inhibiting rapid growth, did preserve the memory of the self-activating switch. Naturally, Zhang et al. investigated whether this growth feedback also affected other circuit architectures, such as the toggle switch that can be used to switch between two stable states. Yet, overall, the toggle switch seemed to exhibit a much broader resistance to memory loss through growth effects, as long as the two constituting transcription factors operated on a similar timescale. Dilution into fresh or conditioned medium led to nearly the same output in terms of GFP fluorescence, demonstrating the perseverance of memory. The authors also note the crucial difference between transcriptional activation (self-activating switch) and inhibition (toggle switch), as the former seemed much more se
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引用次数: 1
Dual UTR-A novel 5' untranslated region design for synthetic biology applications. 双utr -一种新的合成生物学应用的5'非翻译区设计。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-06-08 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa006
Simone Balzer Le, Ingerid Onsager, Jon Andreas Lorentzen, Rahmi Lale

Bacterial 5' untranslated regions of mRNA (UTR) involve in a complex regulation of gene expression; however, the exact sequence features contributing to gene regulation are not yet fully understood. In this study, we report the design of a novel 5' UTR, dual UTR, utilizing the transcriptional and translational characteristics of 5' UTRs in a single expression cassette. The dual UTR consists of two 5' UTRs, each separately leading to either increase in transcription or translation of the reporter, that are separated by a spacer region, enabling de novo translation initiation. We rationally create dual UTRs with a wide range of expression profiles and demonstrate the functionality of the novel design concept in Escherichia coli and Pseudomonas putida using different promoter systems and coding sequences. Overall, we demonstrate the application potential of dual UTR design concept in various synthetic biology applications ranging from fine-tuning of gene expression to maximization of protein production.

细菌mRNA的5'非翻译区(UTR)参与基因表达的复杂调控;然而,基因调控的确切序列特征尚不完全清楚。在这项研究中,我们利用单个表达盒中5' UTR的转录和翻译特性,设计了一种新的5' UTR,即双UTR。双UTR由两个5' UTR组成,每个单独导致报告基因的转录或翻译增加,它们被间隔区隔开,从而实现从头开始翻译。我们合理地创建了具有广泛表达谱的双utr,并使用不同的启动子系统和编码序列在大肠杆菌和恶臭假单胞菌中展示了新设计概念的功能。总的来说,我们展示了双UTR设计概念在各种合成生物学应用中的应用潜力,从基因表达的微调到蛋白质生产的最大化。
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引用次数: 0
Genomics-enabled analysis of specialized metabolism in bioenergy crops: current progress and challenges. 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。
Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2020-06-01 eCollection Date: 2020-01-01 DOI: 10.1093/synbio/ysaa005
Kira Tiedge, Andrew Muchlinski, Philipp Zerbe

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.

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。
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引用次数: 0
期刊
Synthetic biology (Oxford, England)
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