A detailed PowerPoint presentation on "Synthetic Biology Approaches to Identify Enzymes From Metagenome" mainly extracted from the article that can be accessed at: Appl Biochem Biotechnol (2017) 183:636–651 DOI 10.1007/s12010-017-2568-3
CONTENTS
Synthetic Biology and Metagenomics
Metagenomic Technology
Metagenomic Approaches to identify enzymes and biomolecules
Function-based metagenomics
Synthetic Biology overcome limiting steps in activity-based metagenomic library screening
Enzymes discovered by function-based metagenomics
Tools for function-based metagenomic analysis
Sequenced-based screening of metagenomic libraries
High-Throughput Metagenomic Sequencing and Screening Strategies
Omic Technologies Integrated with Metagenome Research
Applications of Metagenomics in Enzyme Bioprospecting
Novel Enzymes discovered through marine metagenomic Approaches
Conclusion
References
2. Table of Contents
1. Synthetic Biology and Metagenomics
2. Metagenomic Technology
3. Metagenomic Approaches to identify enzymes and biomolecules
4. Function-based metagenomics
5. Synthetic Biology overcome limiting steps in activity-based metagenomic library screening
6. Enzymes discovered by function-based metagenomics
7. Tools for function-based metagenomic analysis
8. Sequenced-based screening of metagenomic libraries
9. High-Throughput Metagenomic Sequencing and Screening Strategies
10. Omic Technologies Integrated with Metagenome Research
11. Applications of Metagenomics in Enzyme Bioprospecting
12. Novel Enzymes discovered through marine metagenomic Approaches
13. Conclusion
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3. Synthetic Biology
• Synthetic biology is the design and
construction of new biological parts,
devices, and systems, and the re-design
of existing, natural biological systems for
useful purposes.
Metagenomics
• Metagenomics is the study of the structure
and function of entire nucleotide
sequences isolated and analyzed from all
the organisms (typically microbes) in a
bulk sample.
• Metagenomics is often used to study a
specific community of microorganisms,
such as those residing on human skin, in
the soil or in a water sample.
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4. Metagenomic Technology
• based on the direct isolation of genomic DNA from environmental samples
• found to be powerful tools for tapping the genetic and metabolic diversity
of complex ecosystems
• used for the identification of novel enzymes encoded by a single gene or a
small-sized operon
• whereas large-sized insert libraries are required for the isolation of large
biosynthetic gene clusters, which encode for complex pathways containing
several genes
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6. Function-Based Metagenomic Screening
Most Common: enzyme activity-based
screens performed in culture plates
• Examples:
1. starch-iodine test for amylase
2. cellulose screening assay for cellulase
As gene sequence information is not
required, functional screening is best for
the identification of novel genes encoding
novel enzymes
Screening Strategies
1. phenotypic detection
2. heterologous
complementation of host
strains
3. induced gene expression
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7. Continued…
Advantages
• prior knowledge of sequence is
not required, and we may get
novel gene sequence without
any similarity to previously
existing sequences
Disadvantages
the chances for failure in gene
expression mainly due to
difficulties in
• promoter recognition
• translational inefficiency
• misfolding of proteins
• defective post-translational
modification of desired proteins
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8. Continued…
• This can be resolved by
1. using vectors capable of accommodating large insert size
2. using vectors with broad host range which allow expression in
multiple hosts i.e., E. coli, Streptomyces lividans and Pseudomonas
putida
3. using rossetta E. coli strains which contain tRNA for rare amino acid
codons
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12. Sequence-Based Metagenomic Screening
• metagenomic clones are screened using an oligonucleotide primer or
probes for the target gene using the colony hybridization technique to
shortlist the clones
• The desired gene may also be amplified by PCR cloned in appropriate
expression vectors.
• This technique leads to discovery of novel sequences.
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13. Continued…
• However, these sequences may share similarity to pre-existing
sequence.
• This technique opens the possibility of finding enzymes with high
activity and efficiency. Example:
• Chitinase
• Hydrogenase
• Phosphatase
• glycerol dehydratase
• hydrazine oxidoreductase
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14. Continued…
• The sequencing strategy depends on the complexity of metagenomic
community
• If the complexity of the microbial community is high, new sequencing
strategy has to be used
Warnecke et al. created metagenomic sequencing data from wood
feeding termites. They generated about 71 million base pairs of
sequence information. They could identify 700 domains of different
glycosyl hydrolases, 45 different carbohydrate active enzymes, etc.
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16. High-Throughput Metagenomic Sequencing and
Screening Strategies
Targeted Gene Sequencing
DNA is isolated from
environmental samples using
highly efficient DNA extraction
and purification methods. The
target genes are amplified
using designed primers with
oligonucleotide tags and also
with sequencing adaptors
which sequence the pooled
multiple sample.
Shotgun Metagenome Sequencing
The genomic DNA is
fragmented, end repaired and
ligated with adaptors which
allow amplification of template
and subsequent sequencing
generates large number of short
reads, which can be further
assembled and annotated with
various computational tools and
techniques
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18. Omic Technologies Integrated with Metagenome
Research
• Metatranscriptomics - RNA-based sequence information of microbial
communities in a complex ecosystem
• Metaproteomics - the study of total proteome expressed by the
microorganisms within an ecosystem at a particular period of time
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19. Applications of Metagenomics in Enzyme Bioprospecting
Enzyme Vector/host Environment
Esterase Plasmid library/E. coli Soil from river valley
Thermo-stable esterase Fosmid library/E. coli Mud sediment
Glycosyl hydrolase Λ phage library/E. coli Cow Rumen
Halotolerant tannase Plasmid library/E. coli Soil (cotton field)
Cellulase E. coli Anaerobic beer less
Endo-1,4-endoglucanase YEP356/E. coli Seaweed
Laccase pIndigo BAC5/E. coli Seawater
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22. Conclusion
• access to the genetic and metabolic diversity of the microbial communities
• revolutionized industrial production system w.r.t the identification and isolation
of novel biocatalysts
• formulation of various computational tools for the efficient analysis
• link to the genetic diversity and metabolic activities of uncultivable microbes
• elucidate the functional dynamics, activities and production capabilities of
microbial consortia
• opportunity to identify, isolate and develop novel biocatalysts
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23. References
1. Appl Biochem Biotechnol (2017) 183:636–651 DOI 10.1007/s12010-
017-2568-3
2. The Authors (2014) Microbial Biotechnology published by John
Wiley & Sons Ltd and Society for Applied Microbiology, Microbial
Biotechnology, 8, 52–64
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Editor's Notes
Shotgun sequencing is a laboratory technique for determining the DNA sequence of an organism’s genome. The method involves randomly breaking up the genome into small DNA fragments that are sequenced individually. A computer program looks for overlaps in the DNA sequences, using them to reassemble the fragments in their correct order to reconstitute the genome.
The construction of the library consists of the cloning of DNA
fragments at specific vectors to be inserted into a host cell strains, followed by screening for
the genes and/or functions of interest
Current bottlenecks in functional metagenomics are related to (A) limitations in the host capabilities, (B) the performance of the genetic tools and (C) the availability of efficient screening methods. A. In the case of the host, critical steps related to the recognition of transcriptional and translational signals, as well as the folding and modification of the expressed enzyme need to be enhanced. Host performance might be improved by reducing the metabolic burden related to the expression of unnecessary genes. B. The use of semi-synthetic, high-efficiency genetic tools is essential for the construction of metagenomic libraries that can be maintained and screened in a wide number of microorganisms. The example shows the pSEVA bacterial vector, which is endowed with several functional features such as terminators, origin for transfer and an extensive polylinker optimized for use in several bacterial hosts. C. Genetic circuits constructed by combining input modules (e.g. promoters and regulators) and output devices (such as reporter proteins) assembled with a standard format that uses the same sets of restriction enzymes (represented by X1, X2, etc.). Such circuits facilitate the screening of enzymatic activities in metagenomic libraries. The standardization of the assembly process facilitates the combination of several independent modules to construct sophisticated activity-trigged biosensors.
. Overall diagram for the identification strategy of an ideal biocatalyst. The identification of enzymes from cultured microorganisms and metagenomics are the two principal approaches currently employed for recovering of genes encoding the desired enzymatic activity for industrial processes. The genes encoding enzymes identified from cultured microorganisms may be cloned and expressed, and parameters such as activity, stability, specificity and efficiency improved using protein rational design and in vitro evolution techniques. Metagenomics strategies are based on either activity-based approaches, which involve the construction of expression libraries and its posterior activity screening, or sequence-based approaches. Sequence-based approaches involve either the design of DNA primers for conserved regions of known protein families or data mining of genes encoding potential biocatalysts identified in sequences from next generation sequencing projects. Synthetic biology can provide solutions to the current limitations in activity-based metagenomic approaches. Development of methods for the engineering of new bacterial hosts and molecular biology tools promise to increase the efficiency of discovery of biotechnologically relevant enzymes.