酵母基因组大尺度遗传操纵工具研究进展

基因组大尺度遗传操纵是指对基因组大片段DNA的敲除、整合、易位等遗传改造。相较于小规模基因编辑,基因组大尺度遗传操纵可实现更多遗传信息的同步改造,对于探究多基因相互作用等复杂机制的理解有重要意义。同时,基因组大尺度遗传操纵技术可对基因组开展更大规模的设计重构,甚至创建全新的基因组,在复杂功能重塑方面具有重要创新潜力。酵母是一种重要的真核模式生物,因其安全性和易于操作而被广泛应用。本文系统总结了酵母基因组大尺度遗传操纵的工具包,包括重组酶介导的大尺度操纵、核酸酶介导的大尺度操纵、从头合成大片段DNA以及其他大尺度操纵工具,介绍了它们的基本工作原理与典型应用案例。最后,对大尺度遗传操纵面临的挑战和发展进行了展望。     

合成芳香族化合物的酵母底盘改造策略*

芳香族化合物种类丰富,在多个行业具有广泛的用途,需求量大。通过构建微生物细胞工厂合成芳香族化合物具有独特的优势和工业化应用前景,其中酵母底盘因其清晰的遗传背景、完善的基因操作工具以及成熟的工业发酵体系等优势,常被用于构建细胞工厂。目前改造酵母底盘生产芳香族化合物的研究取得了一系列进展,并针对关键问题提出了一些可行的解决策略。针对酵母合成芳香族化合物的策略与挑战,从芳香族化合物合成路径改造、多样化碳源利用及转运系统改造、基因组多靶点改造、特殊酵母底盘及混菌系统构建、合成生物学高通量技术的应用这五个方面进行系统地梳理和阐述,为生产芳香族化合物的酵母底盘构建与改造提供思路。     

基因组重排技术在酵母菌育种中的应用

基因组重排(genome shuffling)技术是在传统诱变育种的基础上与细胞原生质体融合技术相结合一种新兴微生物菌种改良手段,由于该技术高效的正向突变效率和频率,近年来被广泛应用于酵母菌种的选育和改良。本文主要对基因组重排技术在酵母菌育种中的应用进行了综述。     

基因组重排技术选育乙醇高产菌株

里氏木霉（Trichoderma reesei）被认为是最合适联合生物加工（consolidated bioprocessing）的微生物之一。原始里氏木霉菌株产乙醇能力太低,需要进一步提高其产酒量。我们通过基因组重排技术提高了里氏木霉菌株产乙醇能力和乙醇耐受力。首先对CICC40360菌株孢子进行NTG诱变得到正向突变菌株,再以此为出发菌株进行基因组重排。进行基因组重排后,重组菌株在含不同乙醇浓度的原生质体再生培养基上进行筛选。突变菌株和原始菌株一起做摇瓶发酵实验进行比较以确定产乙醇能力的提高。经过两轮基因组重排后,筛选获得表现最优异的重组菌S2-254。该菌株能在利用50g/l葡萄糖发酵出6.2g/l乙醇,同时能耐受3.5% （v/v）浓度乙醇。上述结果表明,本实验采用的基因组重排技术能够有效而且快速获得具有目的性状的优良菌株。     

基因组重排技术应用及进展

基因组重排技术结合了传统诱变技术和细胞融合技术,是一项对整个微生物基因组重排的新型育种技术。基因组重排技术通过多亲本原生质体递归融合,可以使工程菌快速获得多样复杂优良表型,并且无须了解其基因组学、代谢组学等具体背景。介绍了基因组重排技术的过程及应用,展现了基因组重排技术的优点,并给出了基因组重排技术的发展在未来的应用情景。     

用基因组重排技术选育赖氨酸高产菌株

摘要：【目的】以北京棒杆菌（Corynebacterium pekinense）1为研究对象,选育赖氨酸高产菌株,并探索赖氨酸产生菌基因组重排育种的基本规律。【方法】利用基因组重排技术选育赖氨酸高产菌株。【结果】通过四轮基因组重排成功选育出了5株遗传稳定的高产赖氨酸菌株,其中1株重排菌株赖氨酸产量达到16.95 g/dL,比原始菌株Corynebacterium pekinense 1赖氨酸产量提高了37.14%,比亲本菌株赖氨酸产量提高了17.46％~31.19%。【结论】首次采用基因组重排技术改良赖氨酸产生菌,成功选育出了5株产量较稳定的高产赖氨酸菌株,具有潜在的应用价值。     

基因组重排技术在开发新代谢产物中的应用

基因组重排是一种基于原生质体融合,并对原生质进行递推式融合的新型技术。随着基因组重排技术的不断发展和成熟,通过基因组重排获得新代谢产物的例子不断出现,表明该项技术作为新代谢产物开发的途径具有一定的应用前景。在此列举了基因组重排在开发新代谢产物方面的成果,包括基因组重排激活沉默基因产生新代谢产物;基因组重排引入单酶基因产生新抗生素;基因组重排互换基因模块产生杂合抗生素和基因组重排替换前体基因产生新抗生素的例子,并展望了其发展的趋势。     

全基因组重排育种技术提高产豆豉纤溶酶菌产酶量

枯草芽孢杆菌DC-12 是从豆豉里面筛选出来的,具有纤溶酶活性的菌株。本论文采用了全基因组重排技术提高DC－12的产酶量,首先通过对DC－12进行紫外诱变和亚硝酸诱变构建重组突变库,在研究其原生质体制备和再生的基础上,以其中4株诱变菌株作为直接亲本,采用电融合的方法进行两次多亲本的全基因组重排,结合双灭活的筛选方法,共筛选出2株酶活大大提高并能稳定遗传的菌株,使亲本菌株的酶活提高了4~5倍,最高达2710 IU/ml。     

昆虫线粒体基因组重排的研究进展

动物线粒体基因组通常组成稳定,基因排列也相对保守,极少发生重组。但是昆虫的线粒体基因组具有重排的可能性,而且这些重排事件可能为系统发育研究提供重要的信息。因此,深入研究昆虫线粒体基因组的重排可能有助于解决具有争议的系统发生关系。本文对昆虫线粒体基因组的重排类型、重排机理和重排在昆虫系统发育分析中的应用等方面的研究进展进行了介绍。     

基因组重排选育胸苷磷酸化酶高产菌株

以短乳杆菌为研究对象,通过基因组重排技术选育胸苷磷酸化酶高产菌株。首先采用紫外复合诱变筛选出EA42、EB27作为基因组重排育种的亲本并制备成原生质体,分别采用紫外照射50min和60℃水浴加热60min双亲灭活原生质体,然后用质量分数40％PEG6000,30℃恒温诱导融合10min进行基因组重排。经过3轮基因组重排育种,成功选育出3株胸苷磷酸化酶高产菌株,其中菌株F3-36在菌体发酵量提高的前提下,进行5次传代测试其胸苷磷酸化酶活均在2．500U／mg湿菌体,比原始菌株酶活提高了260％。     

Freedom and Responsibility in Synthetic Genomics: The Synthetic Yeast Project

First introduced in 2011, the Synthetic Yeast Genome (Sc2.0) Project is a large international synthetic genomics project that will culminate in the first eukaryotic cell (Saccharomyces cerevisiae) with a fully synthetic genome. With collaborators from across the globe and from a range of institutions spanning from do-it-yourself biology (DIYbio) to commercial enterprises, it is important that all scientists working on this project are cognizant of the ethical and policy issues associated with this field of research and operate under a common set of principles. In this commentary, we survey the current ethics and regulatory landscape of synthetic biology and present the Sc2.0 Statement of Ethics and Governance to which all members of the project adhere. This statement focuses on four aspects of the Sc2.0 Project: societal benefit, intellectual property, safety, and self-governance. We propose that such project-level agreements are an important, valuable, and flexible model of self-regulation for similar global, large-scale synthetic biology projects in order to maximize the benefits and minimize potential harms.     

放线菌次生代谢产物合成基因组研究

简述放线菌全基因组研究概况,次生代谢产物合成基因组研究涉及的问题;重点介绍聚酮类化合物合成基因组的结构和功能;如何利用基因组筛选程序,筛选具有生物活性次生代谢产物合成基因簇的产生菌,作为新药发现的一种手段。     

Challenges in studying genomic structural variant formation mechanisms: the short-read dilemma and beyond

Next-generation sequencing (NGS) technologies have revolutionised the analysis of genomic structural variants (SVs), providing significant insights into SV de novo formation based on analyses of rearrangement breakpoint junctions. The short DNA reads generated by NGS, however, have also created novel obstacles by biasing the ascertainment of SVs, an aspect that we refer to as the 'short-read dilemma'. For example, recent studies have found that SVs are often complex, with SV formation generating large numbers of breakpoints in a single event (multi-breakpoint SVs) or structurally polymorphic loci having multiple allelic states (multi-allelic SVs). This complexity may be obscured in short reads, unless the data is analysed and interpreted within its wider genomic context. We discuss how novel approaches will help to overcome the short-read dilemma, and how integration of other sources of information, including the structure of chromatin, may help in the future to deepen the understanding of SV formation processes.     

Transposable Element Distribution in the Yeast Genome Reflects A Role in Repeated Genomic Rearrangement Events on an Evolutionary Time Scale

Statistical analysis of the distribution of transposable elements (TEs) and tRNA genes in the genome of yeast Saccharomyces cerevisiae indicated that, although tRNA genes and other genes transcribed by RNA polymerase III are targets for TE insertion, the distribution of TEs was significantly more clumped than that of tRNAs. Genomic blocks putatively duplicated as the result of an ancient polyploidization event contained fewer TEs than expected by their length, and nearly two thirds of duplicated blocks lacked TEs altogether. In addition, the edges of duplicated blocks tended to be located in TE-poor genomic regions. These results can be explained by the hypotheses: (1) that transposition events have occurred well after block duplication; (2) that TEs have frequently played a role in genomic rearrangement events in yeast. According to this model, duplicated blocks identifiable as such in the present-day yeast genome are found largely in regions with low TE density because in such regions the duplicated structure has not been obscured by TE-mediated rearrangements.     

A Genome-Wide Map of Mitochondrial DNA Recombination in Yeast

In eukaryotic cells, the production of cellular energy requires close interplay between nuclear and mitochondrial genomes. The mitochondrial genome is essential in that it encodes several genes involved in oxidative phosphorylation. Each cell contains several mitochondrial genome copies and mitochondrial DNA recombination is a widespread process occurring in plants, fungi, protists, and invertebrates. Saccharomyces cerevisiae has proved to be an excellent model to dissect mitochondrial biology. Several studies have focused on DNA recombination in this organelle, yet mostly relied on reporter genes or artificial systems. However, no complete mitochondrial recombination map has been released for any eukaryote so far. In the present work, we sequenced pools of diploids originating from a cross between two different S. cerevisiae strains to detect recombination events. This strategy allowed us to generate the first genome-wide map of recombination for yeast mitochondrial DNA. We demonstrated that recombination events are enriched in specific hotspots preferentially localized in non-protein-coding regions. Additionally, comparison of the recombination profiles of two different crosses showed that the genetic background affects hotspot localization and recombination rates. Finally, to gain insights into the mechanisms involved in mitochondrial recombination, we assessed the impact of individual depletion of four genes previously associated with this process. Deletion of NTG1 and MGT1 did not substantially influence the recombination landscape, alluding to the potential presence of additional regulatory factors. Our findings also revealed the loss of large mitochondrial DNA regions in the absence of MHR1, suggesting a pivotal role for Mhr1 in mitochondrial genome maintenance during mating. This study provides a comprehensive overview of mitochondrial DNA recombination in yeast and thus paves the way for future mechanistic studies of mitochondrial recombination and genome maintenance.     

植物合成生物学领域发展态势的文献计量分析

合成生物学作为一种颠覆性技术可应用于农业领域的创新发展,解决当前农业学科中的瓶颈问题。利用文献计量学方法从领域发表论文的时序数量分布、主题分布等探测当前合成生物学的基本态势。基于领域的主题分布可知,其中植物合成生物学这一主题是稳定存在的且主题规模处于稳定增长趋势。聚焦植物合成生物学这一主题方向,在构建引文网络的基础上利用主路径分析方法从知识流动角度探测植物合成生物学领域重要知识节点,内容涵盖介子油苷生物合成途径,重要催化酶功能解析、转录因子的调控作用,组学方法的应用,利用微生物酵母进行生物物质合成,这些内容表征了合成生物的核心理论技术。     

Toward minimal bacterial cells: evolution vs. design

Recent technical and conceptual advances in the biological sciences opened the possibility of the construction of newly designed cells. In this paper we review the state of the art of cell engineering in the context of genome research, paying particular attention to what we can learn on naturally reduced genomes from either symbiotic or free living bacteria. Different minimal hypothetically viable cells can be defined on the basis of several computational and experimental approaches. Projects aiming at simplifying living cells converge with efforts to make synthetic genomes for minimal cells. The panorama of this particular view of synthetic biology lead us to consider the use of defined minimal cells to be applied in biomedical, bioremediation, or bioenergy application by taking advantage of existing naturally minimized cells.