Interplay of metagenomics and in vitro compartmentalization

In recent years, the application of approaches for harvesting DNA from the environment, the so‐called, ‘metagenomic approaches’ has proven to be highly successful for the identification, isolation and generation of novel enzymes. Functional screening for the desired catalytic activity is one of the key steps in mining metagenomic libraries, as it does not rely on sequence homology. In this mini‐review, we survey high‐throughput screening tools, originally developed for directed evolution experiments, which can be readily adapted for the screening of large libraries. In particular, we focus on the use of in vitro compartmentalization (IVC) approaches to address potential advantages and problems the merger of culture‐independent and IVC techniques might bring on the mining of enzyme activities in microbial communities.     

Alternative hosts for functional (meta)genome analysis

Microorganisms are ubiquitous on earth, often forming complex microbial communities in numerous different habitats. Most of these organisms cannot be readily cultivated in the laboratory using standard media and growth conditions. However, it is possible to gain access to the vast genetic, enzymatic, and metabolic diversity present in these microbial communities using cultivation-independent approaches such as sequence- or function-based metagenomics. Function-based analysis is dependent on heterologous expression of metagenomic libraries in a genetically amenable cloning and expression host. To date, Escherichia coli is used in most cases; however, this has the drawback that many genes from heterologous genomes and complex metagenomes are expressed in E. coli either at very low levels or not at all. This review emphasizes the importance of establishing alternative microbial expression systems consisting of different genera and species as well as customized strains and vectors optimized for heterologous expression of membrane proteins, multigene clusters encoding protein complexes or entire metabolic pathways. The use of alternative host-vector systems will complement current metagenomic screening efforts and expand the yield of novel biocatalysts, metabolic pathways, and useful metabolites to be identified from environmental samples.     

An ultrahigh-throughput screening platform based on flow cytometric droplet sorting for mining novel enzymes from metagenomic libraries

Uncultivable microbial communities provide enormous reservoirs of enzymes, but their experimental identification by functional metagenomics is challenging, mainly due to the difficulty of screening enormous metagenomic libraries. Here, we propose a reliable and convenient ultrahigh-throughput screening platform based on flow cytometric droplet sorting (FCDS). The FCDS platform employs water-in-oil-in-water double emulsion droplets serving as single-cell enzymatic micro-reactors and a commercially available flow cytometer, and it can efficiently isolate novel biocatalysts from metagenomic libraries by processing single cells as many as 10⁸ per day. We demonstrated the power of this platform by screening a metagenomic library constructed from domestic running water samples. The FCDS assay screened 30 million micro-reactors in only 1 h, yielding a collection of esterase genes. Among these positive hits, Est WY was identified as a novel esterase with high catalytic efficiency and distinct evolutionary origin from other lipolytic enzymes. Our study manifests that the FCDS platform is a robust tool for functional metagenomics, with the potential to significantly improve the efficiency of exploring novel enzymes from nature.     

Screening for novel lipolytic enzymes from uncultured soil microorganisms

The construction and screening of metagenomic libraries constitute a valuable resource for obtaining novel biocatalysts. In this work, we present the construction of a metagenomic library in Escherichia coli using fosmid and microbial DNA directly isolated from forest topsoil and screened for lipolytic enzymes. The library consisted of 33,700 clones with an average DNA insert size of 35 kb. Eight unique lipolytic active clones were obtained from the metagenomic library on the basis of tributyrin hydrolysis. Subsequently, secondary libraries in a high-copy-number plasmid were generated to select lipolytic subclones and to characterize the individual genes responsible for the lipolytic activity. DNA sequence analysis of six genes revealed that the enzymes encoded by the metagenomic genes for lipolytic activity were novel with 34–48% similarity to known enzymes. They had conserved sequences similar to those in the hormone-sensitive lipase family. Based on their deduced amino acid similarity, the six genes encoding lipolytic enzymes were further divided into three subgroups, the identities among which ranged from 33% to 45%. The six predicted gene products were successfully expressed in E. coli and secreted into the culture broth. Most of the secreted enzymes showed a catalytic activity for hydrolysis of p-nitrophenyl butyrate (C₄) but not p-nitrophenyl palmitate (C₁₆).     

宏基因组技术在新型生物燃料生产酶制剂开发中的应用

随着石化燃料的日益减少,以植物生物质为原料的可再生生物燃料成为石化燃料的理想替代品。然而微生物降解生物质效率低下,是生物燃料生产过程中一大难题,因此开发效率高、稳定性强的微生物酶制剂显得尤为重要。近年来,宏基因组技术的发展为生物燃料的生产提供了多种新型酶制剂。宏基因组技术是直接提取环境样品中的总DNA,通过构建文库,筛选目的基因或功能基因的方法,在用于燃料生产的新型酶制剂的开发中发挥着重要作用。本文概述了宏基因组技术的实施策略,总结了包括纤维素酶、蛋白酶、酯酶、脂肪酶等多种酶资源开发的最新研究进展,并综合和讨论了通过酶法将木质纤维素等生物材料有效转化为生物燃料的途径,为新酶的开发提供了新思路。     

Systematic screening of all signal peptides from Bacillus subtilis: a powerful strategy in optimizing heterologous protein secretion in Gram-positive bacteria

Efficient protein secretion is very important in biotechnology as it provides active and stable enzymes, which are an essential prerequisite for successful biocatalysis. Therefore, optimizing enzyme-producing bacterial strains is a major challenge in the field of biotechnology and protein production. In this study, the Gram-positive model bacterium Bacillus subtilis was optimized for heterologous protein secretion using a novel approach. Two lipolytic enzymes, cutinase from Fusarium solani pisi and a cytoplasmatic esterase of metagenomic origin, were chosen as reporters for heterologous protein secretion. In a systematic screening approach, all naturally occurring (non-lipoprotein) Sec-type signal peptides (SPs) from B. subtilis were characterized for their potential in heterologous protein secretion. Surprisingly, optimal SPs in cutinase secretion were inefficient in esterase secretion and vice versa, indicating the importance of an optimal fit between the SP and the respective mature part of the desired secretion target proteins. These results highlight the need for individually optimal signal peptides for every heterologous secretion target. Therefore, the SP library generated in this study represents a powerful tool for secretion optimization in Gram-positive expression hosts.     

Metagenomics: advances in ecology and biotechnology

This review highlights the significant advances which have been made in prokaryotic ecology and biotechnology due to the application of metagenomic techniques. It is now possible to link processes to specific microorganisms in the environment, such as the detection of a new phototrophic process in marine bacteria, and to characterise the metabolic cooperation which takes place in mixed species biofilms. The range of prokaryote derived products available for biotechnology applications is increasing rapidly. The knowledge gained from analysis of biosynthetic pathways provides valuable information about enzymology and allows engineering of biocatalysts for specific processes. The expansion of metagenomic techniques to include alternative heterologous hosts for gene expression and the development of sophisticated assays which enable screening of thousands of clones offers the possibility to find out even more valuable information about the prokaryotic world.     

宏基因组学研究进展

不可培养微生物占据微生物总数的99%以上, 这己成为微生物资源开发利用的一个限制性因素。宏基因组学是通过提取某一环境中的所有微生物基因组DNA、构建基因组文库及对文库进行筛选寻找和发现新的功能基因及活性代谢产物的一种方法。它避开了微生物分离培养的过程, 极大地扩展了微生物资源的利用空间, 是现代基因工程一个新的发展方向和研究热点。本文主要对宏基因组的DNA提取方法、文库的构建、筛选策略的选择及近年来宏基因组学在各领域中的应用研究现状进行了综述。     

Functional metagenomic selection of ribulose 1, 5‐bisphosphate carboxylase/oxygenase from uncultivated bacteria

Ribulose 1,5‐bisphosphate carboxylase/oxygenase (RubisCO) is a critical yet severely inefficient enzyme that catalyses the fixation of virtually all of the carbon found on Earth. Here, we report a functional metagenomic selection that recovers physiologically active RubisCO molecules directly from uncultivated and largely unknown members of natural microbial communities. Selection is based on CO₂‐dependent growth in a host strain capable of expressing environmental deoxyribonucleic acid (DNA), precluding the need for pure cultures or screening of recombinant clones for enzymatic activity. Seventeen functional RubisCO‐encoded sequences were selected using DNA extracted from soil and river autotrophic enrichments, a photosynthetic biofilm and a subsurface groundwater aquifer. Notably, three related form II RubisCOs were recovered which share high sequence similarity with metagenomic scaffolds from uncultivated members of the Gallionellaceae family. One of the Gallionellaceae RubisCOs was purified and shown to possess CO₂/O₂ specificity typical of form II enzymes. X‐ray crystallography determined that this enzyme is a hexamer, only the second form II multimer ever solved and the first RubisCO structure obtained from an uncultivated bacterium. Functional metagenomic selection leverages natural biological diversity and billions of years of evolution inherent in environmental communities, providing a new window into the discovery of CO₂‐fixing enzymes not previously characterized.     

Estimating the success of enzyme bioprospecting through metagenomics: current status and future trends

Recent reports have suggested that the establishment of industrially relevant enzyme collections from environmental genomes has become a routine procedure. Across the studies assessed, a mean number of approximately 44 active clones were obtained in an average size of approximately 53 000 clones tested using naïve screening protocols. This number could be significantly increased in shorter times when novel metagenome enzyme sequences obtained by direct sequencing are selected and subjected to high‐throughput expression for subsequent production and characterization. The pre‐screening of clone libraries by naïve screens followed by the pyrosequencing of the inserts allowed for a 106‐fold increase in the success rate of identifying genes encoding enzymes of interest. However, a much longer time, usually on the order of years, is needed from the time of enzyme identification to the establishment of an industrial process. If the hit frequency for the identification of enzymes performing at high turnover rates under real application conditions could be increased while still covering a high natural diversity, the very expensive and time‐consuming enzyme optimization phase would likely be significantly shortened. At this point, it is important to review the current knowledge about the success of fine‐tuned naïve‐ and sequence‐based screening protocols for enzyme selection and to describe the environments worldwide that have already been subjected to enzyme screen programmes through metagenomic tools. Here, we provide such estimations and suggest the current challenges and future actions needed before environmental enzymes can be successfully introduced into the market.     

Metagenomics for the development of new biocatalysts to advance lignocellulose saccharification for bioeconomic development

The world economy is moving toward the use of renewable and nonedible lignocellulosic biomasses as substitutes for fossil sources in order to decrease the environmental impact of manufacturing processes and overcome the conflict with food production. Enzymatic hydrolysis of the feedstock is a key technology for bio-based chemical production, and the identification of novel, less expensive and more efficient biocatalysts is one of the main challenges. As the genomic era has shown that only a few microorganisms can be cultured under standard laboratory conditions, the extraction and analysis of genetic material directly from environmental samples, termed metagenomics, is a promising way to overcome this bottleneck. Two screening methodologies can be used on metagenomic material: the function-driven approach of expression libraries and sequence-driven analysis based on gene homology. Both techniques have been shown to be useful for the discovery of novel biocatalysts for lignocellulose conversion, and they enabled identification of several (hemi)cellulases and accessory enzymes involved in (hemi)cellulose hydrolysis. This review summarizes the latest progress in metagenomics aimed at discovering new enzymes for lignocellulose saccharification.     

Marine metagenomics: strategies for the discovery of novel enzymes with biotechnological applications from marine environments

Metagenomic based strategies have previously been successfully employed as powerful tools to isolate and identify enzymes with novel biocatalytic activities from the unculturable component of microbial communities from various terrestrial environmental niches. Both sequence based and function based screening approaches have been employed to identify genes encoding novel biocatalytic activities and metabolic pathways from metagenomic libraries. While much of the focus to date has centred on terrestrial based microbial ecosystems, it is clear that the marine environment has enormous microbial biodiversity that remains largely unstudied. Marine microbes are both extremely abundant and diverse; the environments they occupy likewise consist of very diverse niches. As culture-dependent methods have thus far resulted in the isolation of only a tiny percentage of the marine microbiota the application of metagenomic strategies holds great potential to study and exploit the enormous microbial biodiversity which is present within these marine environments.     

The effects of variable sample biomass on comparative metagenomics

Longitudinal studies that integrate samples with variable biomass are essential to understand microbial community dynamics across space or time. Shotgun metagenomics is widely used to investigate these communities at the functional level, but little is known about the effects of combining low and high biomass samples on downstream analysis. We investigated the interacting effects of DNA input and library amplification by polymerase chain reaction on comparative metagenomic analysis using dilutions of a single complex template from an Arabidopsis thaliana‐associated microbial community. We modified the Illumina Nextera kit to generate high‐quality large‐insert (680 bp) paired‐end libraries using a range of 50 pg to 50 ng of input DNA. Using assembly‐based metagenomic analysis, we demonstrate that DNA input level has a significant impact on community structure due to overrepresentation of low‐GC genomic regions following library amplification. In our system, these differences were largely superseded by variations between biological replicates, but our results advocate verifying the influence of library amplification on a case‐by‐case basis. Overall, this study provides recommendations for quality filtering and de‐replication prior to analysis, as well as a practical framework to address the issue of low biomass or biomass heterogeneity in longitudinal metagenomic surveys.     

Recent Advances in Function-based Metagenomic Screening

Metagenomes from uncultured microorganisms are rich resources for novel enzyme genes. The methods used to screen the metagenomic libraries fall into two categories, which are based on sequence or function of the enzymes. The sequence-based approaches rely on the known sequences of the target gene families. In contrast, the function-based approaches do not involve the incorporation of metagenomic sequencing data and, therefore, may lead to the discovery of novel gene sequences with desired functions. In this review, we discuss the function-based screening strategies that have been used in the identification of enzymes from metagenomes. Because of its simplicity, agar plate screening is most commonly used in the identification of novel enzymes with diverse functions. Other screening methods with higher sensitivity are also employed, such as microtiter plate screening. Furthermore, several ultra-high-throughput methods were developed to deal with large metagenomic libraries. Among these are the FACS-based screening, droplet-based screening, and the in vivo reporter-based screening methods. The application of these novel screening strategies has increased the chance for the discovery of novel enzyme genes.     

Isolation of a low-temperature adapted lipolytic enzyme from uncultivated micro-organism

Aims: The aim of the study was to isolate a novel lipolytic enzyme from the activated sludge of uncultured micro‐organisms. Methods and Results: The metagenomic DNA was directly extracted from the activated sludge, and a metagenomic library was constructed by using the pUC vector. The library was screened for lipolytic enzyme activity on 1% tributyrin agar plate. A clone among c. 100 000 recombinant libraries showed the lipolytic activity. The putative lipolytic gene encoding lipo1 from the metagenomic library was subcloned and expressed in Escherichia coli BL21 using the pET expression system. The expressed recombinant enzyme was purified by Ni‐nitrilotriacetic acid affinity chromatography and characterized using general substrates of lipolytic property. The gene consisted of 972 bp encoding a polypeptide of 324 amino acids with a molecular mass of 35·6 kDa. Typical residues essential for lipolytic activity such as penta‐peptide (GXSXG) and catalytic triad sequences (Ser166, Asp221 and His258) were detected. The deduced amino acid sequence of lipo1 showed low identity with amino acid sequences of esterase/lipase (32%, ZP_01528487 ) from Pseudomonas mendocina ymp and esterase (31%, AAY45707 ) from uncultured bacterium. This lipolytic enzyme exhibited the highest activity at pH 7·5 and 10°C. At thermal stability analysis, lipo1 was more unstable at 40°C than 10°C. Conclusions: An activity based strategy has been an effective method for fishing out a low‐temperature adapted lipolytic enzyme from the metagenomic library. This lipo1 enzyme can be considered to belong to the hormone‐sensitive lipase family due to the enzyme’s oxyanion hole by the sequence HGGG. Significance and Impact of the Study: Lipo1 is a novel psychrophilic esterase obtained directly from the metagenomic library. Owing its support of significant activity at low temperature, this enzyme is expected to be useful for potential application as a biocatalyst in organic chemistry.     

Cloning the Soil Metagenome: a Strategy for Accessing the Genetic and Functional Diversity of Uncultured Microorganisms

Recent progress in molecular microbial ecology has revealed that traditional culturing methods fail to represent the scope of microbial diversity in nature, since only a small proportion of viable microorganisms in a sample are recovered by culturing techniques. To develop methods to investigate the full extent of microbial diversity, we used a bacterial artificial chromosome (BAC) vector to construct libraries of genomic DNA isolated directly from soil (termed metagenomic libraries). To date, we have constructed two such libraries, which contain more than 1 Gbp of DNA. Phylogenetic analysis of 16S rRNA gene sequences recovered from one of the libraries indicates that the BAC libraries contain DNA from a wide diversity of microbial phyla, including sequences from diverse taxa such as the low-G+C, gram-positive Acidobacterium, Cytophagales, and Proteobacteria. Initial screening of the libraries in Escherichia coli identified several clones that express heterologous genes from the inserts, confirming that the BAC vector can be used to maintain, express, and analyze environmental DNA. The phenotypes expressed by these clones include antibacterial, lipase, amylase, nuclease, and hemolytic activities. Metagenomic libraries are a powerful tool for exploring soil microbial diversity, providing access to the genetic information of uncultured soil microorganisms. Such libraries will be the basis of new initiatives to conduct genomic studies that link phylogenetic and functional information about the microbiota of environments dominated by microorganisms that are refractory to cultivation.     

Cloning the soil metagenome: a strategy for accessing the genetic and functional diversity of uncultured microorganisms

Recent progress in molecular microbial ecology has revealed that traditional culturing methods fail to represent the scope of microbial diversity in nature, since only a small proportion of viable microorganisms in a sample are recovered by culturing techniques. To develop methods to investigate the full extent of microbial diversity, we used a bacterial artificial chromosome (BAC) vector to construct libraries of genomic DNA isolated directly from soil (termed metagenomic libraries). To date, we have constructed two such libraries, which contain more than 1 Gbp of DNA. Phylogenetic analysis of 16S rRNA gene sequences recovered from one of the libraries indicates that the BAC libraries contain DNA from a wide diversity of microbial phyla, including sequences from diverse taxa such as the low-G+C, gram-positive Acidobacterium, Cytophagales, and Proteobacteria. Initial screening of the libraries in Escherichia coli identified several clones that express heterologous genes from the inserts, confirming that the BAC vector can be used to maintain, express, and analyze environmental DNA. The phenotypes expressed by these clones include antibacterial, lipase, amylase, nuclease, and hemolytic activities. Metagenomic libraries are a powerful tool for exploring soil microbial diversity, providing access to the genetic information of uncultured soil microorganisms. Such libraries will be the basis of new initiatives to conduct genomic studies that link phylogenetic and functional information about the microbiota of environments dominated by microorganisms that are refractory to cultivation.     

DNA稳定同位素探针技术在宏基因组学中的应用及前景

DNA稳定同位素探针 (DNA-SIP) 是一种新兴的技术,通过将同位素稳定结合到特定的底物来确定环境中微生物的作用。DNA-SIP与宏基因组学结合可以让某些微生物的特性与其特殊新陈代谢联系在一起,不仅可以从宏基因组库里检测到低含量的微生物,而且加速了对新的酶类和其他生物活性物质的发现。以下总结了SIP-宏基因组学技术的原理、应用及研究进展,并讨论了其在环境微生物学和生物技术的应用前景。