Keeping in view the sustainable development, end users’ interest has shifted from chemical products to enzymatic products. The increasing interest in using enzymes for industrial processes has spurred the search for biocatalysts with new or improved properties by incorprating some imminent technologies of gene editing and novel bacterial platform for therapeutic enzymes (Gupta and Shukla, 2015, unpublished). Unfortunately, naturally available enzymes are usually not optimally suited for industrial applications because these enzymes are unable to withstand the extreme industrial conditions. Traditionally, the enzymes were optimized using statistical approaches like response surface methodology and Taguchi (Shukla and Gupta, 2007; Shukla et al., 2007). With progress in technology, it has become possible to edit peculiar residues in the natural enzyme to obtain a better enzyme with improved functional features. This can be achieved by high-throughput technologies or exploiting extraordinary sources viz. extreme environment so that their enzyme could sustain and perform better in extreme conditions.

Protein engineering is proving to be one of the successful technological approaches in biotechnology, being capable and able to generate a valuable intellectual property. The motive behind these methodologies is to surmount the snag of natural enzymes and fine tune to system-specific biocatalysts. In protein engineering, mutation is the key to explore protein function by mutating either at peculiar sites to achieve some new functions or design completely novel product that might give spectacular results for the better fit into the process. Protein engineering also deduces structure-function relationship. There are two main methods of protein engineering, site-directed mutagenesis, and random mutagenesis.

Advancement in the area of enzyme modification has enabled tuning of a biocatalyst to meet an industrial objective. Site-directed mutagenesis is one such tool to build novel proteins that serve as efficient catalysts. It involves editing of an amino acid at a particular specific site and evaluating the effect of mutated protein, thus, the method is a choice for those proteins whose structure and mechanisms of action is already known. An advantage is that it takes less time in evaluation since the number of variants produced is less. It aids in evaluating structural and functional aspects of particular amino acid residues in a protein. The major application of site-directed mutagenesis is to introduce novel properties like enhanced specificity, stability, activity, solubility, expression etc. to the biocatalyst. A study was conducted in an attempt to improve the properties of α-galactosidase, a novel gene from deep sea bacteria Bacillus megaterium, was cloned and mutated. The study not only helped in improving properties of the enzyme but also gave tremendous structural-functional information that also revealed a mechanism of increase of activity at the molecular level. They found a protein that contains a tunnel structure, and the NAD (cofactor) makes a way to the active center via this tunnel protein (Xu et al., 2014). Recently, the approach has been applied to plant crops to introduce mutation using site-directed nucleases. It has an advantage of faster and controlled genome editing using directed mutagenesis, gene replacement, and transgene insertion (Collonnier et al., 2015). Site-directed mutagenesis also extends its application to the immobilized enzymes. Earlier immobilization was used to preserve enzyme function by using support attached to the enzyme in a random manner. Since the orientation of enzyme plays a significant role in the catalysis, therefore, researchers realized to immobilize the enzyme in a specific orientation with some specific residues. There have been few reports where enzyme cannot be immobilized due to their ionic hindrances, site-directed mutagenesis has enabled such enzyme to get immobilized. An example, where penicillin G acylase from Escherichia coli made to be adsorbed on DEAE or polyethyleneimine-coated supports by introducing eight Glu residues by site-directed mutagenesis. It was often seen that enzymes lose certain properties like thermostability etc. after immobilization. Site-directed mutagenesis has successfully culminated such limitation by incorporating specific residues at specific sites. The thermostability of the immobilized protease was improved by introducing Cys residues on surface of a cysteine-free mutant of a thermolysin-like protease from B. stearothermophilus and thus facilitated the site-directed immobilization of protease via single thiol group onto thiol-Sepharose (Eijsink et al., 1995).

An another attempt was made to improve stability and catalysis of thermolysin by substituting the three amino acids which lead 5 to 10-fold improvement in N-[3-(2-furyl)acryloyl]- glycyl-L-leucine amide (FAGLA)-hydrolyzing activity and N-carbobenzoxy-L-aspartyl-L-phenylalanine methyl ester (ZDFM) -hydrolyzing activity as compared with wild enzyme (Yasukawa and Inouye, 2007). Likewise, a single amino acid change in the amylase introduced resistance toward chemical oxidation. This mutant amylase was found to be highly compatible with the detergents (Chi et al., 2010). In another attempt to enhance uridyltransferase activity, mutations were introduced into the amino acid residues located within the predicted reaction center. Among twelve, six mutants successfully were found to have increased GlcNAc-1-P UTase activity (Zhang et al., 2007). In a first-ever study, to understand the molecular mechanism of the thermophilic archeal protein ST0452, isolated from Sulfolobus tokodaii, possessing glucosamine-1-phosphate (GlcN-1-P) AcTase activity and galactosamine-1-phosphate (GalN-1-P) AcTase activity, which is not detected in other proteins. Several types mutants were built, after analyzing their 3-D structures. After analyses, the researchers identified certain amino residues important for the both activities viz. His. 308 is essential for both GalN-1-P and GlcN-1-P AcTase activities, whereas Tyr311 and Asn331 are important only for the GalN-1-P AcTase activity (Zhang et al., 2015).

Random mutagenesis follows the unbiased approach for variant generation mimicking the natural process. The nature takes years to evolve, by mutation or recombination and selects on the basis of survival of the fittest one. This technique provides an opportunity to give a mutated product in weeks by generating a library of mutants and selection of members on the basis of desired respective property. It also overcomes the blockade for the proteins whose structure or catalytic mechanism is not fully known. This technique demands an efficient, high-throughput screening system since a number of variants produced are often high in number. The technique introduces random mutations in a gene, with the main objective to characterize the open reading frames, generating a diversity of variants that are subjected to screening for the respective properties (Ramli et al., 2011). This indiscriminate mutagenesis in genes is based on two methods, i.e., in vitro directed evolution and gene recombination. The in vitro directed evolution/ random mutagenesis is performed by various techniques, like chemical mutagenesis, site-saturating mutagenesis, error-prone PCR, using mutator strains whereas, the techniques based on gene recombination are DNA shuffling, staggered extension process (StEP), random chimeragenesis on transient templates (RACHITT), iterative truncation for the creation of hybrid enzymes (ITCHY), recombined extension on truncated templates (RETT) (Sen et al., 2007).

Although, there is no conclusion which method is best suited for a particular mutation. However, most commonly used is, error-prone PCR, where success is based on the error rate of Taq polymerase or alteration in the concentration of dNTP’s, Mg ions, an addition of nucleotide base analogs, using mutazyme polymerase during PCR (Kuddus and Ramteke, 2011). For example, the acid tolerance of Lactobacillus pentosus ATCC 8041 was significantly improved by using amplification of its genomic DNA using random primers and Taq DNA polymerase in a single cycle of mutation. The mutant yielded 95% of lactic acid in a medium of pH 3.8 whereas the wild strain was unable to grow at such low pH (Lidan et al., 2013). In another study, the thermostability of maltogenic amylase MAUS149 was improved using error-prone PCR (Mabrouk et al., 2013). There are few reports on the improvement of proteins by utilizing both random and site-directed mutagenesis in a single process. Like, a study in which the influenza vaccine strains were improved from the classical method, using error-prone PCR, site-directed mutagenesis and reverse genetics. The strains provided complete protection against influenza A(H1N1)pdm09 virus in mouse (Ye et al., 2015). In a study, the combination of error-prone PCR and DNA shuffling was used to produce variants of Cyclodextrin glucanotransferase enzyme to obtain higher product specificity for CD₈ and a broad pH activity range. Compared to the wild-type enzyme which is inactive below pH 6.0, a variant retained 70% of its CD₈-synthesizing activity at pH 4.0 (Melzer et al., 2015). A study was conducted in which, the error rate was enhanced during PCR up to 1.8 × 10^-3 errors/bp using heavy water as a solvent instead of normal water using rhodopsin cDNA of the Ayu fish as a template (Minamoto et al., 2012). The error rate was improved in a study conducted by Rasila et al., 2009 to decipher the highest mutation rates among the various directed evolution method. It was deduced that highest mutation rates were observed among error-prone PCR methods. A comparison of various directed evolution methods has been depicted in Figure 2.

Sometimes, it has been observed that mutation causes improvement in one property while simultaneously compromise in other property. A breakthrough of this limitation is to “breed” protein with the suitable individual property and then screen “progeny” for the desired set of properties (Jon et al., 1999). The engineered protein formed after mutation depends on the quality of the library. One variant (3-2G7) of subtilisin S41 (psychrophilic protease) was created by random mutagenesis, saturation mutagenesis, and in vitro recombination/DNA shuffling, a remarkable improvement in temperature range was observed without compromise in its catalysis at low temperatures, and developed threefold higher catalytic efficiency (Lillford and Holt, 2002). Further generations of this enzyme exhibited even greater activity and stability (Struvay and Feller, 2012). The DNA shuffling is also proving as quite efficient in a diversity of applications. For example, the antifungal activity of Lactobacillus plantarum IMAU10014 strain was improved by three rounds of DNA shuffling. The mutant was effective up to 200% compared to wild strain with broad anti fungal spectra and bears good candidature for biopreservation (Wang et al., 2013). In another study, The thermostability of feruloyl esterase (FAE) was improved up to 22-fold after DNA shuffling with four homologous FAEs (Li J.J. et al., 2015). Further, salt tolerance in yeast was improved using two homologous Na⁺/H⁺antiporters from halophytes Salicornia europaea (SeNHX1) and Suaeda salsa (SsNHX1). The mutant exhibited up to 46% salt tolerance compared to parent strain (Wu et al., 2015).

The use enzyme has grown so fast in the industries, thus, there is continuous need to evolve the enzymes. Proteases hold largest market share accounting 52% of total enzymes. Protease applications are also too diverse ranging from therapeutics to detergent industry to dehairing, bioremediation etc. There are certain examples that show the versatility of protease different areas. A cardiovascular drug, nanokitanase is a bacterial serine protease that showed an improved catalytic efficiency and stability after mutation by site-directed mutagenesis. The double mutant showed the best results followed by single mutants and wild type. The study contributed to broaden their utilities in medical and commercial applications (Weng et al., 2015). Random- and site-directed mutagenesis on Harobin, a serine protease, with fibrinolytic activity and anti-thrombosis effect, enhanced the fibrinolytic activity. The mutant possessed much higher fibrinolytic activity and anti-thrombosis effect than wild-type enzyme with no detectable side effects (Li Z. et al., 2015). An another serine protease with its application in harsh washing, improved with the aid of site-directed mutagenesis. The mutation was made in the N-terminus region evaluated by sequence alignment and homology modeling, enhanced the catalytic efficiency, thermal stability and substrate affinity (Jaouadi et al., 2010). The mutagenesis has extended the application of proteases to an another level like dehairing capacity of the serine protease has been increased compared to wild type using a physical method of random mutagenesis, i.e., UV, N-methyl-N¢-nitro-N-nitrosdguanidine and Co(60) gamma-rays (Wang et al., 2007). A random substitution in the catalytic triad of subtilisin protease increased its activity at low temperature, turning mesophilic protein to psychrophilic protease (Kano et al., 1997).

The improvement among such enzymes is achieved by their effectiveness at low temperature and offers various advantages to the enzymatic process. The reactions catalyzed by the cold active enzyme are proved to be cost effective since heating during the process is curtailed, higher yield is obtained from the reactions involving thermosensitive compounds etc. In an study, the cold active β-glucosidase isolated from P. lutea BG8 successfully converted cellobiose to ethanol with 91.42% (0.49 g ethanol per g cellobiose) fermentation efficiency at 4°C (Tiwari et al., 2014).

The improvement in naturally occurring cold active enzymes may add additional benefits to the enzyme by employing site-directed mutagenesis and directed evolution methods. Like in a study, there was a simultaneous increase in both activity and stability of a psychrophilic lipase isolated from C. antarctica using directed evolution (Zhang et al., 2003). Another study was intended to improve the cold adaptation of alkaline protease, where error prone PCR was used. The activity of mutant product was successfully enhanced. The site-directed mutagenesis was also done to decipher the key amino acid involved in enhancing the cold adaptation (Liu et al., 2014b). Similarly, the catalytic efficiency of cold active purine nucleoside phosphorylase was increased by 1000-fold after site-directed mutagenesis (Xie et al., 2012).

In fact, studies are being done to improve the thermostability of psychrophilic enzymes with an objective to enhance the stability range. Kulakova et al. (2003) using rational mutagenesis deciphered the improvement in the cold-active serine alkaline protease from Shewanella sp. Similarly, in another study the thermostability of alanine racemase from B. psychrosaccharolyticus was improved by replacing Glu150 and Arg15 with Val and Ala at nearby active site (Yokoigawa et al., 2003). In an another study, the thermostability of cold active lipase from Pseudomonas aeruginosa was improved upto sevenfold by mutating in the region of high flexibility using rational design approach (Cesarini et al., 2012).

For recovering the novel enzymes, metagenomics, a culture-independent approach, has become a blessing to modern biotechnology. Metagenomics consist of isolation of genomic DNA directly from an environmental sample, that is analyzed by high-throughput sequencing viz. shotgun sequencing, 454 pyrosequencing, that minimizes the loss of important entities during the culturing. Metagenomics approaches are used to analyze the structure and functional potential of the microbial community. The structural analyses of gene/species richness, distribution etc., is often done by sequence-based screening whereas the functional potential of environmental microbial communities is evaluated via functional based screening. Metagenomics opened the gateway for the extremophiles that were almost impossible to cultivate and also bestow with novel enzymes of industrial value.

There is a continuous phase of adaptation in a life of extremophiles due to lack of hospitality in the environment. As extremophiles are surrounded by unusual environmental condition, the components that mainly suffer are enzymes and the lipid membrane. Because, these enzymes and membrane require certain flexibility to function, therefore the enzyme activity and transportation through the membrane is hampered in extremophiles. Thus, in order to sustain, such strains tend to adapt unusual makeup that makes them unique from the population of a hospitable environment. These unusual cells or genetic makeup is proving as an asset to our industries and a continuous effort is being laid to exploit maximum from them. Since metagenomics principle is based directly on an environmental sample, it is proving as one of the powerful tools to conquer these unusual proteins. Inference of comparative structural study of organisms living in different conditions concludes that their features totally contrast from each other. For example, a comparison of the temperature related constraints and their adaptive features are listed in Table 1.

Depending on the aim of the study, the selection process is usually based on (i) sequence driven screening, (ii) function-driven screening, and (iii) randomly mass sequencing, so-called metagenomics (Figure 3).

Sequence-based approach confides on sequence analysis for the conjuncture of function. The importance of the sequence based method lies in analyzing evolutionary relationships, linking phylogeny and function, identifying the unknown species, and detection of an abundance of genes. The oligonucleotides or probes are designed for the sequences encoding conserved domains of protein on the basis of consensus sequences (Sabree et al., 2009). The target ORFs are then identified by PCR or hybridization. The 16S ribosomal RNA gene (16S rDNA) is the most widespread phylogenetic marker used for identifying genome fragments derived from specific groups of microorganisms. However, it reflects only the phylogenetic classification of respective bacteria and not necessarily the metabolic function of the organism. For evaluating the specific gene from metagenome, the conserved gene sequence called ‘anchors’ are used and clones are identified by either hybridization or PCR.

For the identification of ORF similarity search algorithms (e.g., BLAST, COG, KEGG) provide sufficient information. Software tools are also now available to query large sequence datasets such as genomes and metagenomes for the presence of gene clusters associated with biomolecules of interest. One such tool, antiSMASH (the antibiotic and secondary metabolite analysis shell), that quickly identifies and annotates secondary metabolite gene clusters from genomic sequence data (Jackson et al., 2015). Further, hybridization also allows the handling and screening of a huge number of clones. A novel polyketide synthase gene from soil metagenomic clones was successfully detected by high-throughput DNA hybridization using functional genes as radio-labeled probes (Jacquiod et al., 2014). Large-scale sequencing projects such as the metagenome of the Sargasso Sea resulted in the identification of numerous novel genes by sequence-based metagenome analyses (Venter et al., 2004).

In a study, a novel bacterial laccase gene designated as lac21 was screened from a marine microbial metagenomic library of the South China Sea based on sequence screening strategy. The laccase gene has tremendous potential in decolorization of azo dyes in the absence of redox mediators with a comparatively lower level of supplementation (15 U/L) at 20°C (Fang et al., 2012). In a similar study, from hot spring of Manikaran, a pectinase gene was isolated. The enzyme was found to be thermostable with its optimum temperature of 70°C and stable up to 60°C for 5 h (Singh and Shukla, 2012). Similarly, xylose isomerase gene was found from soil metagenome (Nurdiani et al., 2015). Thus, metagenomics aids in novel discovering extremozymes that might not be explored by conventional cultural methods.

Functional screening is an alternative approach to sequence-based screening that does not require prior knowledge of sequence. The concept of function-based screening relies on expression of a metagenomic gene of interest in a surrogate host and the selection on the basis of phenotype.

The probability to increase the hit rate of the desired gene can be achieved by sample enrichment prior to library construction, development of new sensitive assays, automated high throughput screening. Lammle et al. (2007) enhanced the hit rate using dual orientation promoter. The choice of suitable screening methods plays a significant role in hitting the target gene.

Recently, a novel operon involved in desulfurization of dibenzothiophenes was identified by metagenomic screening by cloning the amplified gene in E. coli DH5α cells. The expressed gene product successfully desulfurizes dibenzothiophenes (Abbasian et al., 2016). Similarly, a novel lipase gene was isolated from a soil waste water treatment plant. The high hit rate was observed in the clones due to a quality of soil sample, which was fat contaminated soil and prokaryotic enriched DNA. A novel xylanase gene was isolated for the first time using a metagenomic approach that is alkaline and thermostable. The recombinant xylanase was applicable in paper and pulp industry, pulp bleaching and generating xylooligosaccharides from the abundantly available agro-residues (Verma et al., 2013). A cold active esterases were also found from a soil sample of Artic region, with their optima at 20°C and 30°C (Yu et al., 2011). Metagenomics has also established its importance in healthcare where Pehrsson et al., 2013 found rich diversity in antibiotic resistance genes with many previously unknown sequences. A study was conducted for the first time from mangrove soil to target bacterial laccase gene using metagenomic approach. The recombinant enzyme obtained was highly soluble and alkaline stable that makes it a good candidate for biobleaching industry (Ye et al., 2010).

There are various reports on success and contribution of functional metagenomics viz. discovery of various enzyme (Table 2) antimicrobials, bioremediation of recalcitrant compounds etc.

There has been large a contribution in the study of hydrolases but enzymes other than hydrolases from metagenomes are still in their infancy. Since only a very few reliable screening procedures are available that allow the rapid screening of large clone libraries. A new screening system was developed for the discovery of flavonoid-modifying enzymes based on high-performance thin-layer chromatography (HPTLC). This metagenome extract thin-layer chromatography analysis (META) allows the rapid detection of glycosyltransferase (GT) and also other flavonoid-modifying activities. This highly sensitive method can detect 4 ng of modified flavonoid molecules and have screened two novel UDP glycosyltransferase (UGT) genes from two different metagenomic preparations (Rabausch et al., 2013).

The term metagenomics blends two words: meta-analysis, a means of statistical analysis of the outcome of two distinct analyses, and genomics, i.e., analysis of genetic make-up (Rondon et al., 2000). The foremost objective of any metagenome sequencing project is to uncover and characterize particular community, chiefly “who’s there?”, “what are they doing?”, involving three main aspects: (1) composition/structure of the community, their genetic and phylogenetic relatedness, (2) role of each member within the community, and (3) intra-species or intra-population heterogeneity of the genes.

Initially, metagenomics confined only for diversity study but with time, it has progressed and found its application in various areas. The technique is being employed to uncover the functional properties of microorganism in a community, revealing enzyme with novel catalytic activity, antibiotic therapies, genes that are involved in bioremediation, dyestuff processing, lignocellulosic treatment, and biobleaching of paper pulp (Ye et al., 2010; Kumar et al., 2016). There are numerous studies on various unexplored samples, a study on Lonar soda lake sediment from which a significant percentage (11%) of unclassified species has been reported using bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP) (Dudhagara et al., 2015). Another study, which also detected similar percentage (10.69%) of unclassified prokaryotes from Tulsi Shyam hot spring, India (Ghelani et al., 2015). It is to be noted that such studies play a crucial role for the discovery of novel enzymes (Table 2).

Metagenomics has clustered environmental biology, functional biology, microbial physiology and sustainable development under one single frame. The genetic make-up of the community elucidates the type of flora, their functional role in the environment and the effectual metabolism of the species. The richness or deficiency of the particular species in the population in the particular area reveals the essence of a particular environment. Understanding the function, metabolism and succession of microorganisms helps to maintain the niche. Illeghems et al. (2015) analyzed metabolic capabilities of cocoa bean fermentation bacterial community and evaluated the network of cycles between the microorganisms. In an another study, seasonal change in microbial diversity was seen using metagenomics by Illumina Miseq platform and analyzed using MG-RAST, STAMP tool (Yadav et al., 2015). There has been an immense progress in the technology that renders such huge metagenomic data to be processed authentically. Singh and Shukla, 2015 summarize techniques and software to analyze the metagenomic data. Furthermore, studies on computational enzyme docking also elucidated the characterization of the efficient substrates for the enzymes (Karthik and Shukla, 2012; Singh and Shukla, 2012; Karumuri et al., 2015; Singh et al., 2016).

The analysis of sequences is performed by a sequence of steps with the foremost objective to filter the data. The filtered data can be analyzed by (1) Marker gene analysis, which involves comparing the metagenomic reads to a database consisting of gene families bearing specific genetic markers, the marker gene in the read can be spotted and reads are classified on the basis of homology to respective gene marker. Most commonly used marker genes are rRNA genes justifying ‘who is there?’ or protein coding sequences indicating ‘what are they doing?’ There are various types of software to taxonomically annotate the metagenomes viz. MetaPhlAn, AMPHORA, MetaPhyler, PhyloSift, PhylOTU. (2) Binning, a process of grouping reads to slot them to operational taxonomic units. Methods of binning are based either on compositional features or alignment or both. (a) compositional binning, which uses composition of sequences viz tags like rec A, rpo B, 16S rRNA to cluster the metagenomic reads into taxon. (b) similarity binning, relies on the alignment of the sequences against the known reference sequence. The aligned reads are clustered into the respective taxa. The softwares mainly used are MEGAN, MG-RAST, CARMA. (c) fragment recruitment, in which, reads are aligned to nearly identical genome sequences to produce metagenomic coverage estimates of the genome. There are several tools that help to map the reads viz. MOSAIK, Genometa, SOAP, BWA, CLC, RefCov. (3) Assembly reads that posses nearly identical sequences at their ends are linked to form contig or complete genome. Each successive sequencing project adds to the previous because of a collection of large data from the diverse environment. In a study conducted in acid mine drainage, a group of genomes was reconstructed belonging to unculturable using random shotgun sequencing of DNA from the biofilm (Siegert et al., 2003). Recently, a broad survey of the viral assemblages inhabiting the marine invertebrates revealed that different invertebrate groups harbor distinct viral assemblages (Gudenkauf and Hewson, 2016).

The rapid expansion of new sequencing technologies and sequence searching tools has enabled large-scale functional exploration of numerous microbial ecosystems. Next generation sequencing has taken over traditional sequencing methods in terms of high-throughput, low costing, allowing deeper and clear prospective into microbial community diversity composition. NGS has the potential for complete profiling of microbial communities from extreme samples, uncover new species, and investigate the response of microbial populations under changing conditions. Environmental metagenomics as a field was extremely limited prior to the advent of next-generation sequencing (NGS). An overview of whole genome sequencing is shown in Figure 4.

Microbial cell surface display is a technique developed to empower any industrial or biotechnological process. Cell-surface display provides an opportunity to display peptides and proteins of interest on the surface of microbial cells by fusing them with the anchoring motifs (Figure 5). It is a simultaneous expression of two or more proteins in a single cell system that could have the cumulative effect on the process (Tanaka and Kondo, 2015). The protein of interest (target protein or fusion protein) is fused to anchor protein via tethering on the cell wall and expressed in a host cell. The orientation of the target protein with respect to anchor protein is important for its activity. For example, in N-terminal fusion, the N-terminus of an anchor protein is fused to the C-terminus of a target protein (Figure 2). Conversely, for C-terminal fusion, the C-terminus of an anchor protein is fused to the N-terminus of a target protein. The technique has a wide range of biotechnological and industrial applications, including: live vaccine development, a recombinant vaccine against parapoxvirus, orf virus (ORFV) was developed that causes superficial skin lesions in infected humans and grazing animals. The Echinococcus granulosus antigen EG95 was genetically fused on the surface proteins of a host cell and recombinants were prepared. The recombinants successfully reduced the infectivity during in vitro assay and good antibody response was observed in the inoculated sheep (Tan et al., 2012). In a similar study, the live oral vaccine against chicken coccidiosis was developed for the first time using yeast Saccharomyces cerevisiae as a host strain. Eimeria tenella EtMic2 protein acted as a fusion protein and provided a humoral as well as cell mediated immunological response (Sun et al., 2014). A snapshot of techniques involved in the improvement of industrial process is depicted in Figure 6. In a recent study, a group of researchers developed a nano shuttles by engineering the exosomes and exploited their application in targeted drug delivery, as well as exosome-mediated vaccine and therapy utilizing cell surface display technology (Stickney et al., 2016). Another technique based on cell surface display was developed to inhibit HIV infection by using an antibody as fusion peptide together with autotransporter β-barrel domain of IgAP gene from Neisseria gonorrhoeae. The engineered bacteria successfully captured HIV-1 particles via surface-binding and inhibit HIV-1 infection in cell culture (Wang et al., 2015).

The lipase was expressed on the surface of yeast cell and it was found that engineered yeast showed high-performance characteristics and variant utilizations. It depicts its application in various areas like a synthesis of esters, PUFA enrichment, resolution of chiral drugs, organic synthesis and biofuels (Liu et al., 2014a). Another lipase from Staphylococcus haemolyticus L62, displayed on the cell surface of E. coli using an autotransporter protein of Pseudomonas putida EstAβ8 as an anchoring motif showed its application in biodiesel production and yield of nearly 89.4% after a 96 h reaction at 30°C (Kim et al., 2013). Similarly, nitrilase from Thermotoga maritima MSB8 was also surface displayed on Bacillus spores. The study concludes that surface display of enzymes on the spore of B. subtilis might be an effective method for enzyme immobilization and help to meet the ever-increasing industrial demand for preparation and stabilization of biocatalysts (Chen et al., 2016). A bioremediation approach was established for the first time using triphenylmethane reductase (TMR). The enzyme was surface displayed on E. coli using ice nucleation protein as an anchor. It was reported that the decolorization rate for the malachite green of this engineered strain is the highest so far, with 640 μmol min^-1 g^-1 dry weight cells (Gao et al., 2014). A biocatalyst for biosensor has been developed for assay of glutamate by fusing thermophilic glutamate dehydrogenase Gldh on E. coli. The glutamate assay plays an important role in the diagnosis of many neurological disorders like epilepsy, amyotrophic lateral sclerosis or Parkinson’s disease. The enzyme was quite stable and ion tolerant (Song et al., 2015).