Characterization of two novel lipase genes isolated directly from environmental sample

Recombinant production and characterization of a novel esterase from a hypersaline lake, Acıgöl, by metagenomic approach

The aim of this study was to isolate a novel esterase from a hypersaline lake by sequence-based metagenomics. The metagenomic DNA was isolated from the enriched hypersaline lake sediment. Degenerate primers targeting the conserved regions of lipolytic enzymes of halophilic microorganisms were used for polymerase chain reaction (PCR) and a whole gene was identified by genome walking. The gene was composed of 783 bp, which corresponds to 260 amino acids with a molecular weight of 28.2 kDa. The deduced amino acid sequence best matched with the esterase from Halomonas gudaonensis with an identity of 91%. Recombinantly expressed enzyme exhibited maximum activity towards pNP-hexanoate with a k_cat value of 12.30 s^-1. The optimum pH and temperature of the enzyme were found as 9 and 30 °C, respectively. The effects of NaCl, solvents, metal ions, detergents and enzyme inhibitors were also studied. In conclusion, a novel enzyme, named as hypersaline lake "Acıgöl" esterase (hAGEst), was identified by sequence-based metagenomics. The high expression level, the ability to maintain activity at cold temperatures and tolerance to DMSO and metal ions are the most outstanding properties of the hAGEst.

Metagenome-derived haloalkane dehalogenases with novel catalytic properties

Haloalkane dehalogenases (HLDs) are environmentally relevant enzymes cleaving a carbon-halogen bond in a wide range of halogenated pollutants. PCR with degenerate primers and genome-walking was used for the retrieval of four HLD-encoding genes from groundwater-derived environmental DNA. Using specific primers and the environmental DNA as a template, we succeeded in generating additional amplicons, resulting altogether in three clusters of sequences with each cluster comprising 8-13 closely related putative HLD-encoding genes. A phylogenetic analysis of the translated genes revealed that three HLDs are members of the HLD-I subfamily, whereas one gene encodes an enzyme from the subfamily HLD-II. Two metagenome-derived HLDs, eHLD-B and eHLD-C, each from a different subfamily, were heterologously produced in active form, purified and characterized in terms of their thermostability, pH and temperature optimum, quaternary structure, substrate specificity towards 30 halogenated compounds, and enantioselectivity. eHLD-B and eHLD-C showed striking differences in their activities, substrate preferences, and tolerance to temperature. Profound differences were also determined in the enantiopreference and enantioselectivity of these enzymes towards selected substrates. Comparing our data with those of known HLDs revealed that eHLD-C exhibits a unique combination of high thermostability, high activity, and an unusually broad pH optimum, which covers the entire range of pH 5.5-8.9. Moreover, a so far unreported high thermostability for HLDs was determined for this enzyme at pH values lower than 6.0. Thus, eHLD-C represents an attractive and novel biocatalyst for biotechnological applications.

Screening and expression of genes from metagenomes

Microorganisms are the most abundant and widely spread organisms on earth. They colonize a huge variety of natural and anthropogenic environments, including very specialized ecological niches and even extreme habitats, which are made possible by the immense metabolic diversity and genetic adaptability of microbes. As most of the organisms from environmental samples defy cultivation, cultivation-independent metagenomics approaches have been applied since more than one decade to access and characterize the phylogenetic diversity in microbial communities as well as their metabolic potential and ecological functions. Thereby, metagenomics has fully emerged as an own scientific field for mining new biocatalysts for many industrially relevant processes in biotechnology and pharmaceutics. This review summarizes common metagenomic approaches ranging from sampling, isolation of nucleic acids, construction of metagenomic libraries and their evaluation. Sequence-based screenings implement next-generation sequencing platforms, microarrays or PCR-based methods, while function-based analysis covers heterologous expression of metagenomic libraries in diverse screening setups. Major constraints and advantages of each strategy are described. The importance of alternative host-vector systems is discussed, and in order to underline the role of phylogenetic and physiological distance from the gene donor and the expression host employed, a case study is presented that describes the screening of a genomic library from an extreme thermophilic bacterium in both Escherichia coli and Thermus thermophilus. Metatranscriptomics, metaproteomics and single-cell-based methods are expected to complement metagenomic screening efforts to identify novel biocatalysts from environmental samples.

Identification and characterization of a new true lipase isolated through metagenomic approach

Background

Metagenomics, the application of molecular genomics to consortia of non-cultivated microbes, has the potential to have a substantial impact on the search for novel industrial enzymes such as esterases (carboxyl ester hydrolases, EC 3.1.1.1) and lipases (triacylglycerol lipases, EC 3.1.1.3). In the current work, a novel lipase gene was identified from a fosmid metagenomic library constructed with the "prokaryotic-enriched" DNA from a fat-contaminated soil collected from a wastewater treatment plant.

Results

In preliminary screening on agar containing 1% tributyrin, 2661 of the approximately 500,000 clones in the metagenomic library showed activity. Of these, 127 showed activity on agar containing 1% tricaprylin, while 32 were shown to be true lipase producers through screening on agar containing 1% triolein. The clone with the largest halo was further characterized. Its lipase gene showed 72% identity to a putative lipase of Yersinia enterocolitica subsp. palearctica Y11. The lipase, named LipC12, belongs to family I.1 of bacterial lipases, has a chaperone-independent folding, does not possess disulfide bridges and is calcium ion dependent. It is stable from pH 6 to 11 and has activity from pH 4.5 to 10, with higher activities at alkaline pH values. LipC12 is stable up to 3.7 M NaCl and from 20 to 50°C, with maximum activity at 30°C over a 1 h incubation. The pure enzyme has specific activities of 1722 U/mg and 1767 U/mg against olive oil and pig fat, respectively. Moreover, it is highly stable in organic solvents at 15% and 30% (v/v).

Conclusions

The combination of the use of a fat-contaminated soil, enrichment of prokaryotic DNA and a three-step screening strategy led to a high number of lipase-producing clones in the metagenomic library. The most notable properties of the new lipase that was isolated and characterized were a high specific activity against long chain triacylglycerols, activity and stability over a wide range of pH values, good thermal stability and stability in water-miscible organic solvents and at high salt concentrations. These characteristics suggest that this lipase has potential to perform well in biocatalytic processes, such as for hydrolysis and synthesis reactions involving long-chain triacylglycerols and fatty acid esters.

Novel genes retrieved from environmental DNA by polymerase chain reaction: current genome-walking techniques for future metagenome applications

Environmental DNA is an extremely rich source of genes encoding enzymes with novel biocatalytic activities. To tap this source, function-based and sequence-based strategies have been established to isolate, clone, and express these novel metagenome-derived genes. Sequence-based strategies, which rely on PCR with consensus primers and genome walking, represent an efficient and inexpensive alternative to activity-based screening of recombinant strains harbouring fragments of environmental DNA. This review covers the diverse array of genome-walking techniques, which were originally developed for genomic DNA and currently are also used for PCR-based recovery of entire genes from the metagenome. These sequence-based gene mining methods appear to offer a powerful tool for retrieving from the metagenome novel genes encoding biocatalysts with potential applications in biotechnology.

Development of recombinant Escherichia coli whole-cell biocatalyst expressing a novel alkaline lipase-coding gene from Proteus sp. for biodiesel production

A lipase-producing bacterium K107 was isolated from soil samples of China and identified to be a strain of Proteus sp. With genome-walking method, the open reading frame of lipase gene lipK107, encoding 287 amino acids, was cloned and expressed in a heterologous host, Escherichia coli BL21 (DE3). The recombinant lipase was purified and characterized, and the optimum pH of the purified LipK107 was 9, at 35 degrees C. The recombinant E. coli expressing lipK107 was applied in biodiesel production in the form of whole-cell biocatalyst. Activity of the biocatalyst increased significantly when cells were permeabilized with 0.3% (w/v) cetyl-trimethylammoniumbromide (CTAB). This transesterification was carried out efficiently in a mixture containing 5M equivalents of methanol to the oil and 100% water by weight of the substrate. It was the first time to use E. coli whole-cell biocatalyst expressing lipase in biodiesel production, and the biodiesel reached a yield of nearly 100% after 12h reaction at the optimal temperature of 15 degrees C, which was the lowest temperature among all the known catalyst in biodiesel production.

Metagenomics: Future of microbial gene mining

Modern biotechnology has a steadily increasing demand for novel genes for application in various industrial processes and development of genetically modified organisms. Identification, isolation and cloning for novel genes at a reasonable pace is the main driving force behind the development of unprecedented experimental approaches. Metagenomics is one such novel approach for engendering novel genes. Metagenomics of complex microbial communities (both cultivable and uncultivable) is a rich source of novel genes for biotechnological purposes. The contributions made by metagenomics to the already existing repository of prokaryotic genes is quite impressive but nevertheless, this technique is still in its infancy. In the present review we have drawn comparison between routine cloning techniques and metagenomic approach for harvesting novel microbial genes and described various methods to reach down to the specific genes in the metagenome. Accomplishments made thus far, limitations and future prospects of this resourceful technique are discussed.