脂肪酸代谢途径影响聚酮化合物生物合成的机制及应用研究进展

聚酮化合物（PKs）作为一大类次级代谢产物，有着重要的生物活性和潜在的应用价值。链霉菌具有合成多种聚酮化合物的潜力，但野生型菌株合成聚酮化合物的产量难以满足工业化生产的需求。贮藏脂质的降解能为聚酮化合物生物合成提供大量的酰基CoA前体，因此，控制好脂肪酸与聚酮化合物生物合成通量，有利于促进目标聚酮化合物的合成。本文综述了强化脂肪酸β-氧化途径提高聚酮化合物产量的研究进展，为利用β-氧化途径促进聚酮化合物生物合成提供了新的研究策略。     

聚酮类化合物生物合成的代谢工程研究进展

聚酮化合物是一类重要的具有生物活性的次级代谢物。本文讨论了以聚酮生物合成酶为核心的聚酮化合物生物合成途径,以及近年来有关代谢工程在聚酮类化合物生物合成方面的研究工作进展,主要包括将聚酮生物合成途径引入新的宿主、代谢流量分析在提高聚酮化合物中的应用及合成新的聚酮化舍物等。     

链霉菌次级代谢产物高产菌株的构建策略

随着基因测序技术的发展,人类获得了大量有关链霉菌次级代谢产物合成基因簇的信息,通过合理的构建策略可以激活其中的隐性基因簇或提高基因簇的表达水平,从而获得新的链霉菌次级代谢产物,或显著提高已知次级代谢产物的发酵水平。从基因表达调控、转座子突变、合成生物学方法、组学方法等四个方面,综述了提高链霉菌次级代谢产物产量的构建策略及其研究进展。     

链霉菌次级代谢调控机制进展

链霉菌除具有复杂的形态分化特征外 ,还可以产生多种具有重要应用价值的次级代谢产物 ,这两个过程密切相关。因此 ,链霉菌存在着原核生物中罕见的庞大而复杂的调控网络。链霉菌在遗传水平有三个层次的调控 ,分别是 :途径特异性调控、多效调控和全局调控。阐明这些调控网络将为利用代谢工程手段提高次级代谢产物的产量并对其进行结构改造奠定理论基础 ,还将有助于发现新的有价值的天然产物。     

链霉菌形态分化与次级代谢产物合成的研究进展

链霉菌是一类具有复杂的形态分化周期和强大的次级代谢能力的高GC含量的放线菌,能够利用其初级代谢产生的前体化合物和能量,合成多种结构复杂、功能多样的具有生物活性的次级代谢产物,在农业、食品、畜牧业、工业以及医药研究等领域都具有重要的价值。在链霉菌的形态分化后期常常伴随着次级代谢产物的生物合成,并且两者都受到复杂的网络调控;同时链霉菌的形态对次级代谢产物的产量和种类造成很大影响。对链霉菌生长周期的全面理解将加深对链霉菌形态分化与次级代谢产物合成关系的认识。本文将对链霉菌的形态分化过程、形态分化和抗生素合成两者共同的调控因子以及链霉菌形态与抗生素产量之间的关系进行综述,这将有助于理解抗生素的合成过程,也将会在缩短发酵周期、构建高产工程菌株、新型杀菌剂的研发以及新型抗生素的合成等方面给予我们启发。     

链霉菌的全局调控蛋白DasR

链霉菌能够产生多种次级代谢产物,在临床、农牧业、生物技术等领域具有重要应用价值;对链霉菌的调控网络进行深入研究有助于提高次级代谢产物产量并发现新的次级代谢产物.链霉菌中次级代谢产物生物合成按调控通路分为全局调控与途径特异性调控,其中全局调控蛋白可靶向多种通路特异调控基因和生物合成基因,在链霉菌的生命活动中发挥着更为普遍...     

刺糖多孢菌中铵载体蛋白基因amtS的克隆及功能研究

目的:铵离子是细胞内合成各种核酸、氨基酸和辅助因子等含氮化合物的重要原料之一。微生物细胞膜上的铵载体蛋白介导了铵离子的转运。通过异源表达刺糖多孢菌中铵载体蛋白基因,研究其对链霉菌产孢能力和次级代谢产物产量的影响。方法:从刺糖多孢菌S04-41菌株中克隆铵载体蛋白基因amt S,通过接合转移导入天蓝色链霉菌M145和变铅青链霉菌TK24中,分析比较amt S基因的异源表达对其产孢能力和次级代谢产物产量的影响。结果:天蓝色链霉菌重组菌株M145/p MF-amt S和变铅青链霉菌重组菌株TK24/p MF-amt S中放线紫红素的产量分别提高了2.85倍和30.02倍。结论:刺糖多孢菌中的铵载体蛋白能够提高链霉菌中次生代谢产物的产量,为进一步研究该基因的功能与对刺糖多孢菌中多杀菌素合成的作用奠定了重要基础。     

链霉菌Streptomyces antibioticus NRRL 8167中Naphthgeranine A生物合成基因簇的分析鉴定

【背景】微生物来源的天然产物是小分子药物或药物先导物的重要来源。对链霉菌Streptomyces antibioticus NRRL 8167的基因组分析显示,其包含多个次级代谢产物的生物合成基因簇,具有产生多种新化合物的潜力。【目的】对链霉菌S. antibioticus NRRL 8167中次级代谢产物进行研究,以期发现结构新颖或生物活性独特的化合物,并对相应产物的生物合成基因簇和生物合成途径进行解析。【方法】利用HPLC图谱结合特征性紫外吸收和LC-MS方法,排除S. antibioticus NRRL 8167产生的已知化合物,确定具有特殊紫外吸收的化合物作为挖掘对象,然后利用正、反相硅胶柱色谱、高效液相色谱等技术对次级代谢产物进行分离纯化,分离化合物。利用质谱及核磁共振光谱技术对化合物结构进行解析和鉴定;提取链霉菌S. antibioticus NRRL 8167基因组DNA,利用PacBio测序平台进行基因组测序;利用生物信息学对基因组进行注释,并对合成该化合物的基因簇进行定位分析,推导其生物合成途径。【结果】确定这个化合物是NaphthgeranineA,属于聚酮类化合物。全基因组序列分析发现S.antibioticusNRRL8167基因组含有28个次级代谢产物生物合成基因簇,其中基因簇20可能负责Naphthgeranine A的生物合成,并对其生物合成途径进行了推导。【结论】基于紫外吸收光谱和质谱特征,从S. antibioticus NRRL 8167菌株的发酵提取物中分离鉴定了一个聚酮类化合物Naphthgeranine A。该菌株的全基因组测序为其生物合成基因簇的鉴定提供了前提,对Naphthgeranine A生物合成基因簇和生物合成途径的推测为进一步研究这个化合物的生物合成机制奠定了基础。     

非定向激活沉默基因簇挖掘链霉菌活性次级代谢产物研究进展

链霉菌(Streptomyces spp.)是活性次级代谢产物的主要生产菌,在发现结构新颖化合物上具有重大潜力。随着对链霉菌基因组数据的深入分析,发现大量产次级代谢产物合成基因簇处于沉默状态,因此利用非定向和定向策略激活链霉菌中沉默基因簇、挖掘结构新颖化合物成为当前的主要手段。本文主要综述了培养基组成改变或培养条件优化、共培养、添加化学激发子及全局性调控等非定向策略在挖掘链霉菌次级代谢产物中的应用以及取得的进展,以期为链霉菌次级代谢产物高效开发提供参考。     

链霉菌次级代谢调控相关的双组分系统研究进展

链霉菌具有强大的次级代谢能力, 能够产生众多具有生物活性的次级代谢产物, 如目前广泛应用的抗生素、抗肿瘤药物以及免疫抑制剂等。在链霉菌中, 次级代谢产物的生物合成受到包括途径特异性、多效性以及全局性调控基因在内的多层次严格调控。关键调控基因的缺失或过表达可以显著影响次级代谢产物的生物合成, 提示对于链霉菌次级代谢重要调控基因的功能及其作用机制的研究具有巨大的潜在应用价值。其中, 作为细菌信号传导系统的双组分系统(Two-component system, TCS)一直是大家研究的关注点。越来越多的研究表明TCS在链霉菌次级代谢过程中发挥着全局性的调控功能。本文重点介绍链霉菌模式菌株——天蓝色链霉菌中TCS(包括典型TCS)、孤立的组氨酸蛋白激酶(HK)以及应答调控蛋白(RR)参与次级代谢调控的研究进展。这些TCS的功能鉴定及机制解析为工业链霉菌的定向遗传改造以提高重要次级代谢产物的含量提供了理论依据。     

Quorum sensing-based metabolic engineering of the precursor supply in Streptomyces coelicolor to improve heterologous production of neoaureothin

Streptomyces are important industrial bacteria that produce pharmaceutically valuable polyketides. However, mass production on an industrial scale is limited by low productivity, which can be overcome through metabolic engineering and the synthetic biology of the host strain. Recently, the introduction of an auto-inducible expression system depending on microbial physiological state has been suggested as an important tool for the industrial-scale production of polyketides. In this study, titer improvement by enhancing the pool of CoA-derived precursors required for polyketide production was driven in a quorum sensing (QS)-dependent manner. A self-sustaining and inducer-independent regulatory system, named the QS-based metabolic engineering of precursor pool (QMP) system, was constructed, wherein the expression of genes involved in precursor biosynthesis was regulated by the QS-responsive promoter, scbAp. The QMP system was applied for neoaureothin production in a heterologous host, Streptomyces coelicolor M1152, and productivity increased by up to 4-fold. In particular, the engineered hyperproducers produced high levels of neoaureothin without adversely affecting cell growth. Overall, this study showed that self-regulated metabolic engineering mediated by QS has the potential to engineer strains for polyketide titer improvement.     

Metabolic engineering of <Emphasis Type="Italic">Streptomyces venezuelae</Emphasis> for malonyl-CoA biosynthesis to enhance heterologous production of polyketides

Using metabolic engineering, we developed Streptomyces venezuelae YJ028 as an efficient heterologous host to increase the malonyl-CoA pool to be directed towards enhanced production of various polyketides. To probe the applicability of newly developed hosts in the heterologous production of polyketides, we expressed type III polyketide synthase, 1,3,6,8-tetrahydroxynaphthalene synthase, in these hosts. Flaviolin production was doubled by expression of acetyl-CoA carboxylase (ACCase) and 4-fold by combined expression of ACCase, metK1-sp and afsR-sp. Thus, the newly developed Streptomyces venezuelae YJ028 hosts produce heterologous polyketides more efficiently than the parent strain.     

Current status, strategies, and potential for the metabolic engineering of heterologous polyketides in Escherichia coli

Heterologous natural product biosynthesis has emerged as a strategy to produce medicinal compounds that pose challenges to conventional production routes. Polyketide compounds, an important class of natural products with wide-ranging therapeutic value, have been heterologously produced through Escherichia coli, presenting new opportunities to realize the medicinal potential of polyketide natural products. However, current production levels are often suboptimal when compared to native strain producers or heterologous theoretical yields. This problem provides an excellent opportunity to apply and further develop current metabolic engineering tools.     

Redirection of acyl donor metabolic flux for lipopeptide A40926B0 biosynthesis

The metabolic flux of fatty acyl-CoAs determines lipopeptide biosynthesis efficiency, because acyl donor competition often occurs from polyketide biosynthesis and homologous pathways. We used A40926B0 as a model to investigate this mechanism. The lipopeptide A40926B0 with a fatty acyl group is the active precursor of dalbavancin, which is considered as a new lipoglycopeptide antibiotic. The biosynthetic pathway of fatty acyl-CoAs in the A40926B0 producer Nonomuraea gerenzanensis L70 was efficiently engineered using endogenous replicon CRISPR (erCRISPR). A polyketide pathway and straight-chain fatty acid biosynthesis were identified as major competitors in the malonyl-CoA pool. Therefore, we modified both pathways to concentrate acyl donors for the production of the desired compound. Combined with multiple engineering approaches, including blockage of an acetylation side reaction, overexpression of acetyl-CoA carboxylase, duplication of the dbv gene cluster and optimization of the fermentation parameters, the final strain produced 702.4 mg l^-1 of A40926B0, a 2.66-fold increase, and the ratio was increased from 36.2% to 81.5%. Additionally, an efficient erCRISPR-Cas9 editing system based on an endogenous replicon was specifically developed for L70, which increased conjugation efficiency by 660% and gene-editing efficiency was up to 90%. Our strategy of redirecting acyl donor metabolic flux can be widely adopted for the metabolic engineering of lipopeptide biosynthesis.     

Engineering antibiotic production and overcoming bacterial resistance

Progress in DNA technology, analytical methods and computational tools is leading to new developments in synthetic biology and metabolic engineering, enabling new ways to produce molecules of industrial and therapeutic interest. Here, we review recent progress in both antibiotic production and strategies to counteract bacterial resistance to antibiotics. Advances in sequencing and cloning are increasingly enabling the characterization of antibiotic biosynthesis pathways, and new systematic methods for de novo biosynthetic pathway prediction are allowing the exploration of the metabolic chemical space beyond metabolic engineering. Moreover, we survey the computer-assisted design of modular assembly lines in polyketide synthases and non-ribosomal peptide synthases for the development of tailor-made antibiotics. Nowadays, production of novel antibiotic can be tranferred into any chosen chassis by optimizing a host factory through specific strain modifications. These advances in metabolic engineering and synthetic biology are leading to novel strategies for engineering antimicrobial agents with desired specificities.     

Identification of biomarkers for genotyping <Emphasis Type="Italic">Aspergilli</Emphasis> using non-linear methods for clustering and classification

Background  

In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinantAspergillus nidulans(mutants that produce the 6- methyl salicylic acid polyketide molecule) for application in metabolic engineering.     

Computational analysis of phenotypic space in heterologous polyketide biosynthesis—Applications to Escherichia coli, Bacillus subtilis, and Saccharomyces cerevisiae

Polyketides represent a class of natural product small molecules with an impressive range of medicinal activities. In order to improve access to therapeutic polyketide compounds, heterologous metabolic engineering has been applied to transfer polyketide genetic pathways from often fastidious native hosts to more industrially-amenable heterologous hosts such as Escherichia coli, Saccharomyces cerevisiae, or Streptomyces coelicolor. Efforts thus far have resulted in titers either inferior to the native host and significantly below the theoretical yield, emphasizing the need to computationally investigate and engineer the interaction between native and heterologous metabolism for the improved production of heterologous polyketide compounds. In this work, we applied flux balance analysis on genome-scale models to simulate cellular metabolism and 6-deoxyerythronolide B (the cyclized polyketide precursor to erythromycin) production in three common heterologous hosts (E. coli, Bacillus subtilis, and S. cerevisiae) under a variety of carbon-source and medium compositions. We then undertook minimization of metabolic adjustment optimization to identify single and double gene-knockouts that resulted in increased polyketide production while maintaining cellular growth. For the production of 6-deoxyerythronolide B, the results suggest B. subtilis and E. coli are better heterologous hosts when compared to S. cerevisiae and that several single and multiple gene-knockout mutants are computationally predicted to improve specific production, in some cases, over 25-fold.     

2013合成生物学专刊序言

合成生物学目前在全球得到迅猛发展。在此专刊中,综述了一些相关技术在合成生物学领域的进展,其中有:链霉菌无痕敲除方法、基因合成技术、DNA组装新方法、最小化基因组的方法及分析、合成生物系统的组合优化。也讨论了应用合成生物学策略优化光合蓝细菌底盘、产溶剂梭菌分子遗传操作技术、蛋白质预算(Protein budget)作为合成生物学的成本标尺。最后,用几个例子说明了合成生物学的应用,包括复杂天然产物合成人工生物系统的设计与构建、微生物木糖代谢途径改造制备生物基化学品以及构建酿酒酵母工程菌合成香紫苏醇。     

Heterologous production of polyketides by modular type I polyketide synthases in Escherichia coli

Heterologous production of polyketide compounds, an important class of natural products with complex chemical structures, was first demonstrated with Streptomyces parvulus in 1984. Although Streptomyces strains are good first options for heterologous polyketide biosynthesis, their slow growth kinetics prompt other hosts to also be considered. Escherichia coli provides key elements of an ideal host in terms of the growth rate, culture conditions, and available recombinant DNA tools. Here we review the current status and potential for metabolic engineering of polyketides in E. coli.     

链霉菌次生代谢中双因子调控系统的研究进展

链霉菌次生代谢产物的生物合成受到严格和复杂的调控,而双因子调控系统是其中重要的一类调控因子,在链霉菌中广泛存在,且存在作用方式的多样性和作用机制的复杂性。就近些年研究较多的参与链霉菌次生代谢的两类双因子调控系统(真核型和原核型)的研究状况做了综述,重点阐明其作用机制,并对其研究趋势以及在药物代谢工程中的应用前景进行了展望。