Applications of Metagenomics for Unrevealing the Extended Horizons of Microbiota Prevalence from Soil to Human Health

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REVIEW ARTICLE

Applications of Metagenomics for Unrevealing the Extended Horizons of Microbiota Prevalence from Soil to Human Health

The Open Microbiology Journal 31 Dec 2021 REVIEW ARTICLE DOI: 10.2174/1874285802115010177

Abstract

Phylogenetic analysis of different ecosystems has shown that the number of microbial communities in a single sample exceeds their cultured counterparts. Microbes have been found throughout nature and can thrive in adverse conditions. Besides inhabiting diverse environments, they also play a key role in the maintenance of the ecosystem. Most of these microbes are either unculturable or difficult to culture with conventional culturing methods. Metagenomics is an emerging field of science that has been in the light for a decade and offers a potential way to assess microbial diversity. The development of metagenomics opens new ways to study genetic material directly from the environmental samples. DNA sequencing and synthesis technologies are making it possible to read and write entire genomes. The huge amount of data obtained from genome sequencing inevitably requires bioinformatics tools to handle and further process them for analysis. Advances in DNA sequencing and high-performance computing have brought about exemplar improvement in metagenomics, allowing in-depth study of the largely unexplored frontier of microbial life. This culture-independent method provides extensive information regarding the structure, composition, and function of the diverse assemblages of the environmental microbes. The current review presents an overview of the technical aspects of metagenomics along with its diverse applications.

Keywords: Microbes, Metagenomics, Applications, Soil, Rumen, Industries, Bioremediation.

1. INTRODUCTION

Microbes are the most diverse, ubiquitous, and profuse forms of life that make up the major portion of biomass (≈70 Gt C) (1 Gt C = 1015 g of carbon) on Earth, of which bacteria constitute 70 Gt and Archaea comprises of 7 Gt [1]. This unseen majority plays an important role in ecosystem functioning [2] and human health [3]. It co-exists in communities, where its determined actions have significant contributions in sustaining the life on the planet. Considering the unprecedented role of microbes in the health and disease status in humans, the microbiome is considered the last organ of the body [4]. Numerous studies indicated a high degree of correlation between the human gut microbiome and the health and disease status of an individual, with the human gut microbiome influencing human wellbeing through immune function, physiology, nutrition, and metabolism [5].

Consequently, characterization and understanding of the human gut microbiome, along with its correlation with diseases and well being of the individual’s health, has fascinated global researchers and forced them to explore the unseen majority inhibiting the gut. Studies confirmed that the human gut microbiome consists approximately 15,000 to 36,000 bacterial species [6]. The gut microbiome is estimated to contain 100 times more genes, as compared to 25,000 genes in humans [7]. Accordingly, the identification and characterization of the gut microbiome is the major focus of microbiome research. However, it has been estimated that approximately 95% of the microbial communities are non-culturable by the currently available techniques [8]. These uncultured microbes are untapped reservoirs of novel biomolecules such as enzymes, drugs, as well as metabolic capabilities. Moreover, large microbial populations are also present in/on animals, including humans.

However, these microbiotas have been found to play a crucial role in maintaining normal physiological well-being. Considering the possible role of microbiome in diverse fields, DNA sequencing is a promising technology to understand and explore the potential of this unseen diversity. Furthermore, microbiome studies have changed the way in which microbiologists have approached various problems. It has redefined the perception of the genome and also hastened the rate of gene discovery. The multiple spectra of microbiome applications have been represented in Fig. (1).

2. EXPLORING MICROBIOME FUNCTIONS

Exploring the structure, dynamics, and functional attributes of different microbial communities associated with different niches has become a major challenge for microbiologists. However, the recent advances in microbiome research have significantly helped global scientists to overcome these challenges. Understanding microbiome functions can enable the engineering of some novel diagnostic approaches and interventional strategies that can be used in a diverse spectrum of fields, spanning from medicine and human health to environment, agriculture, and ecology to forensic science [9]. Moreover, microbiome research is expected to address some of the most vexing, inspiring, and fundamental questions of 21st-century research. Overview of the prevalence of microbiome in the environment (Fig. 2) and their interaction with humans is given in Fig. (3).

Some of the key examples of functional contributions of the microbiome are as under:

(1) Xenobiotics Metabolism: The microbiome functions as an unexplored regulator of xenobiotic metabolism. Microbial communities serve as the potential alternatives for the elimination of toxic pollutants from the environment [10]. The gut microbiome is found to carry out the detoxification of ingested xenobiotics of carcinogenic nature [11]. Similarly, the oxalate metabolism by microbial taxa (Oxalobacter formigenes) inhabiting the gut reduces the risks of nephrolithiasis [11]. Studies suggested that the microbial modification of bile acids affects host lipid metabolism [4].

(2) Harvesting of Inaccessible Nutrients: Microbial communities occupying the gut have been found to aid in the synthesis of essential nutrients and vitamins and in harvesting the otherwise inaccessible nutrients from the diet [12]. The digestive capacity of an individual depends on its microbiota [12]. The gut microbiome also plays an important role in identifying the host individuals at risk for obesity and malnutrition states and treating these nutritional disorders based on host-microbial ecology.

(3) Gastrointestinal Cell Renewal: The gut is one of the highly regenerative organs in the human body. Persistent renewal of epithelial cells allows the gut epithelium to withstand the wear and tear that it undergoes during digestion and eliminating waste. However, in the case of germ-free animals, the renewal is slower than the conventional ones, the reason being the absence of bacterial flora [13]. Both the skin and gut are the most richly innervated and densely vascularised organs, both exclusively related in purpose and function, and possess the most vital neuroendocrine and immune roles [14]. Considering our primary interface with the external environment, both skin and gut are essential body organs to the maintenance of physiologic homeostasis.

Fig. (1). Multiple spectra and applications of metagenomics in different scientific fields.
Fig. (2). Prevalence of microbiome in the environment and their role in bioremediation.

Evidence suggests a bidirectional and intimate connection between the skin and the gut, with several studies linking gut health to skin homeostasis and allostasis (Fig. 3) [14]. All these processes influence in parts via interactions between microbiota and immune cells [15] and have a series of effects ranging from susceptibility to neoplasia [15] to the renewal of the damaged mucosal barriers [16].

3. ROLE OF GUT MICROBIOME IN HUMAN HEALTH

3.1. Neuropsychological Disorder

Depression is one of the major debilitating psychiatric illnesses [17] and is estimated to affect more than 300 million people worldwide [18]. Major depressive disorders are one of the leading causes of global disability and account for more than ~800,000 suicide deaths annually [18]. Irrespective of some of the significant advances in understanding the etiology of major depressive disorders, it is believed that the present status of the knowledge is incomplete, treatments are scarce, and novel insights into these disorders are urgent and need of the hour. Unfortunately, pathophysiologies of the major depressive disorders in association with the gut microbiome are not clear (Fig. 3). Just a decade ago, the idea that the gut microbiome could have a bearing on the human brain was often considered wild and unlikely to happen.

The advancements in sequencing technologies and informatics pipeline analysis unlock the connection that the gut microbiome influences mood and prevents depression (Fig. 3). Links between CNS and the trillions of the microbes colonizing the human gut and gut microbiome are now a major focus of present-day medical research [19]. However, the mechanism by which the microbes govern brain functioning linked to altered behaviour and memory is still in its infancy and needs to be explored. Genomic surveys of the gut inhabitants have revealed that these diverse microbial communities play a part in programming the hypothalamic-pituitary-adrenal axis along with the stress reactivity over the life span (Fig. 3) [20]. Functionally, the stress responses are immature at birth and develop throughout the postnatal period, corresponding to gut bacterial colonization.

Earlier several animal studies evidentially reported that stress can perturb the composition of the gut microbiome and that enteric pathogens might affect host behaviour by mediating the immune responses and neurotransmitters [21]. Studies suggested that significant behavioral differences in the brains of animals with altered or absent gut microbiota displayed various molecular differences [9]. These included brain-region-specific changes in levels of Brain-Derived Neurotrophic Factor (BDNF), differences in the expression of various neurotransmitter receptors like catecholamine’s, serotonin and alterations in the turnover of certain neurotransmitters such as glutamate and γ-Aminobutyric Acid (GABA) [21]. Recently, researchers demonstrated that certain species of bacteria had been found to be associated with depression and quality of life. Moreover, the metabolic products of gut microbiota are also linked to measures of mental health, psychiatric illnesses, and the personality of humans [22].

3.2. Role of Gut Microbiome in Bone Health

The human body is home to trillions of microbes that differ in composition across different anatomical sites of the body [23], with Bacteroidetes, Firmicutes Actinobacteria, Fusobacteria, and Proteobacteria being the most dominant phyla [24]. However, the relative proportions of these taxa vary between individuals and different sites within the body. Studies reflect that the microbial communities inhabiting one part of the body significantly differ from the other part [25]. It is believed that only a small fraction (up to 10%) of the microbes are similar among different individuals, with adults possessing a relatively stable microbiome. It is a fact that the gut microbiota plays an important role in digestion, metabolism regulation, immune protection and can affect growth, reproduction, and the overall dynamics of an individual (Fig. 3) [26]. The link between Gut Microbiome and bone health is recognized for the first time by Viney and Riley, 2014 [27]. Further researchers have also suggested the manipulation of the gut microbiota and its association with bone health [28].

The relationship between the gut microbiota and bone health is complex and involves various processes such as the regulation of immunomodulation (CD4+ T cell activation), regulation of key bone minerals (calcium and phosphorous), and translocation of essential microbial products across gut endothelium (peptidoglycans, lipopolysaccharides, and short-chain fatty acids) [21, 22]. For the first time, investigations carried out by Sjögren et al. [28] showed that bone mass and density are regulated by the gut microbiome. Sjögren et al. found that the female germ-free mice of 9 weeks of age had a higher cortical and trabecular bone density, compared to the control mice who rose in the conventional conditions. Likewise, studies conducted on mice models have concluded that different strains of bacteria (Bifidobacterium and Lactobacillus) have the potential to increase the bone mineral density trabecular number [28, 29].

On the other hand, regulatory T cells (Tregs) are responsible for the expression of the transcription factor FoxP3 and are capable of blocking the proliferation of the conventional T cells and effector cytokines [30]. It is evident from too many studies that bone health is largely affected by the deficiency or dysbiosis of the GM [28, 29]. So, some logical strategies must be there to overcome this menace and to minimize the GM alterations with the beneficial ones. Probiotics, a class of symbiotic microbes, is believed to have a potential effect on bone build-up. The possible mechanism of this process may occur via microbial synthesis of different enzymes, metabolites, and vitamins C, D, or K or folate [31].

Fig. (3). Prevalence of microbiome in the environment and their interaction with human.

In contemporary prebiotics, the oligosaccharides, i.e., polydextrose, fructose and galactooligosaccharides, xylo-oligosaccharides, and soybean oligosaccharides are also used for bone health, but their beneficial effect is still unclear. These oligosaccharides reveal their beneficial effect only in their calcium absorption in animals and postmenopausal women [32]. As in this case, the dietary fiber is fermented to Short-Chain Fatty Acids (SCFAs) in the lower region of the gut, thereby increasing the pH thus ultimately increasing the calcium absorption [33]. These SCFAs also aid in the energy requirement of the gut epithelial cells, which in turn may improve gut permeability and health [34].

All these studies recommend a detailed understanding of the Gut Microbiome dysbiosis and its effect on the skeletal system [28, 29, 31]. These interventions also suggest some dietary modifications affecting the Gut Microbiome that will establish potential therapeutic strategies for promoting bone health. These findings suggest that the oral administration of probiotics can significantly reduce bone loss.

3.3. Cancer and Gut Microbiome

At present, microbiome studies are receiving significant attention given their influence on human health and diseases, including cancer. The role of the microbiome is becoming apparent with evidence mounting in supporting its role in cancer treatment and is recognized as an important factor associated with tumour development and the effectiveness of anticancer therapies. Gut microbiome has evolved as a key player in maintaining human health, influencing not only the gastrointestinal tract but also the distal organs such as the liver, pancreas, brain, etc [35, 36]. Therefore, the compositional and the functional alterations of the gut microbiota (dysbiosis) contribute towards the development of various pathological conditions, including various cancers. Bacteria have also been reported to elevate inflammation and cancer cell proliferation via the production of cytokines.

The microbiomes have been found to have a close association with cancer via direct or indirect pathways. The direct routes include the interaction of pathogenic microbial communities with the immune system via bacterial antigenic particles with pattern recognition receptors (e.g., toll-like receptor) or through direct colonization of epithelia by pathogenic bacteria. In contrast, the indirect pathways include the microbial production of carcinogens and chemoprotective factors from endogenous sources, such as compounds resulting from human metabolism, or from exogenous sources, such as diet [37].

Recently, the faecal microbiome analysis from patients with colorectal cancer identified colorectal cancer-enriched bacteria. These bacteria include Alistipes, Bacteroides, Fusobacterium, Parvimonas, Porphyromonas Prevotella, and Thermanaerovibrio and serve as potential diagnostic bacterial markers across the populations [38, 39]. Correlation of colorectal cancer-enriched bacteria with various biosynthesis, metabolic, and degradation pathways provides key insights into the functional capacity of these bacteria in colorectal cancer [39]. These intestinal bugs also influence the incidence and progression of extra-intestinal cancers, including hepatocellular carcinoma and breast cancers, probably via inflammatory and metabolic circuitries [40, 41]. All these studies are compatible with the findings from epidemiological studies that show a link between microbial dysbiosis, along with its consequences [42, 43]. In addition, the faecal microbiome studies not only establish a link between the gut microbiome and cancer but also help in identifying the key microbial signatures that can precisely predict the disease across the populations.

The gut microbiota is believed to affect oncogenesis and tumour progression both locally as well as systemically, with the support of inflammatory and metabolic cues. Specific bacterial taxa inhabiting the gut are found to affect the cancer treatments by modulating the host immune response and through drug metabolism.

Multiple studies have shown gut microbiome signifying its influence on the response to immune checkpoint blockade across different cancer types [44]. The crosstalk between the immune system and gut microbiome is widespread and critical. It does not only permit the tolerance to oral food antigens or the commensal microbes but also facilitates the immune system to recognize and attack the opportunistic bacteria, thus averting both bacterial invasions as well as an infection.

Disturbance in the balance of commensal microbes results in dysbiosis, which is characterized by a less stable and diverse beneficial microbiota and with potential enrichment pathogenic bacteria [45]. Dysbiosis is related to a plethora of diseases, including skin to neurological disorders and from inflammatory to metabolic dysfunction. Moreover, recent findings have shed light on a number of diseases directly impacted by the gut microbiome. Therefore, the gut microbiome is becoming a key factor in understanding and treating complex diseases such as Crohn’s disease, obesity, type 1 and type 2 diabetes, rheumatoid arthritis, and atherosclerosis [4].

4. MICROBIOMES FOR HARNESSING NOVEL MOLECULES

Soil constitutes one of the complex environments of the terrestrial ecosystems and is one of the major and key pools of microbial diversity [46]. The diversity of microbes in these soil ecosystems exceeds every other environment like the gut, rumen, forage plants, etc., with an estimated number of about 1030 [47]. Among these, prokaryotes (106 to 108) represent the largest proportion [48]. Soil microbial diversity plays an imperative role in soil ecosystems [49]; therefore, a healthy soil microbiome is important for ecosystem functioning. The combination of microbiomes from various ecosystems and niches (soil, gut, water, rhizosphere, etc.) upholds the fabric of life.

Unravelling the tree of life, dominated by bacterial diversifications, is essential to expand our view about the diverse microbiome. Soil metagenomics provides a culture-free assessment of the mostly unexploited genetic pool of soil microbial communities and provides the unique opportunity to explore soil’s limitless environments harbouring scores of yet unknown and mostly unculturable microbes and other organisms. Soil metagenomics allows scientists to peep into the more complex picture of soil microorganisms and to develop an understanding of their interactions. The development of metagenomics and its applications has opened a way to unculturable microbial communities of the soil, thereby availing a rich and prosperous source of some of the novel and valuable biomolecules (Fig. 4).

Fig. (4). Metagenomics a way forward to explore the diverse environments.

Some examples of the applications of soil metagenomics are as follows:

4.1. Antibiotics and Pharmaceuticals

Soil metagenomics possesses the potential that has significantly affected the production of antibiotics. Studies carried out [50, 51] reported the successful screening of the soil metagenome from Indirubin [52, 53] while analyzing the soil metagenome detected a wide range of novel antibiotics. The same authors, while screening seven different metagenomic libraries from soil, stated that these libraries uncovered 11 clones producing long-chain N-acyltyrosine antibiotics, and their synthetic analysis showed that ten of these antibiotics were novel.

4.2. Oxidoreductases/Dehydrogenases

Oxidoreductases are the enzymes that are capable of oxidizing the short-chain polyols, thereby serving as useful biocatalysts in the industrial production of amino acids, alcohols, hydroxyl acids. Representing diverse range of enzymes, Oxidoreductases can broadly be divided into four major groups; (i) oxidases, (ii) oxygenases/hydroxylases, (iii) dehydrogenases/reductases, and (iv) peroxidases [54]. These enzymes are responsible for catalyzing a diverse range of reactions such as hydroxylation, dehalogenation, deamination, oxidation, dealkylation, dehydratation, dehydrogenation, epoxidation, and reduction.

Recent investigations into Oxidoreductases isolation have largely focussed on the terrestrial settings; however, the extremes of oxygen, temperature, pressure, and substrate availability presented by aquatic environments have also encouraged their exploration as a potentially rich source of novel biocatalysts. Sequence based metagenomic approaches have played a key role in identifying and exploring the potential marine ecosystems candidate sources for novel enzymes [55].

4.3. Vitamins Biosynthesis

Soil metagenomics has found its role in searching for the novel genes that code for the synthesis of several vitamins like biotin [56, 57]. Advances in molecular biology methods, particularly the next-generation high-throughput sequencing, omics and Insilco analysis approaches, have allowed us to access and explore the vast microbial diversity of biotechnological importance and has made it possible to identify and explore novel biological molecules with specific activities without the need for isolation and culturing of microbes [58].

4.4. Polysaccharide Degrading Enzymes

Cellulases possess several applications and have substantial biotechnological potential in many industries such as fuel, food, and chemicals. Amalyses have been a key and important focus of several metagenomic studies, with a number of reports available regarding the purification and characterization of the novel amylolytic enzymes [59].

4.5. Amidases

Amidase-positive clones were first detected through [60, 61] analyzing the soil metagenomic library for various biocatalysts. Amidases are used in the biosynthesis of 9-lactam antibiotics. Pan et al. [62], while targeting the amidases, detected seven positive amidase clones, one of which was a novel penicillin acylase.

5. METAGENOMICS: A WAY FORWARD TO EXPLORE THE VIRAL DIVERSITY

Recent development and cost reduction in sequencing approaches have revolutionized virology with the discovery of many novel viruses and viroids [63]. Viruses can be identified via a broad array of techniques that mostly depend on the contrast with the ones that are already known. Some of these historic methods include cell culture, electron microscopy, and inoculation; however, these methods show limitations. For example, a number of viruses cannot be cultured, thereby excluding the use of cell line isolation and serologic methods, and these can only be characterized using different molecular methods. Ouborg et al. [64] summarized different molecular techniques viz. PCR-based and subtractive hybridization-based methods, and microarray to classify new viruses. Although these techniques have been endorsed by the scientific world with the discovery of many viruses, they still require the knowledge of similar viruses.

The recent advancement in sequence-independent PCR-based methods has helped to overcome these curbs. Many viruses, in particular RNA or single-stranded DNA viruses, exhibit extreme evolutionary dynamics. They have varied high mutation rates, up to six orders of magnitude higher than in humans, short generation times, and large population sizes. Under these conditions, genetic variants are produced constantly, and each infected host-virus population displays a higher degree of genetic diversity. With the introduction of NGS technologies, the experimental analysis of genetic diversity has changed dramatically.

From the past decade, a number of studies while using metagenomics techniques have offered a substantial amount of information regarding the identification of novel viruses from human samples. A number of infectious viral diseases were recognized before the identification and classification of their causal agents. With the steady increase in the growth of the viral metagenomics, a number of noble viruses have been isolated in a relatively short period associated with the disease outcome in humans [64, 65]. Viruses viz. Arena virus, Paralysis virus, Lujo virus, Borna virus, Simian hemorrhagic fever virus, and Klasse virus are the notable novel viruses that have been identified by metagenomics approaches as causative agents of diseases in humans and other mammals [66].

Recent studies have offered significant information related to the identification of a number of viruses associated with public health [67]. Studies like these have high lightened the future perspectives of the metagenomics approaches to generate a huge amount of data for the identification of the unidentified and potent infectious agents of humans within a relatively short period. Overall, metagenomics has provided considerable insight into host-virus interaction and the overall viral diversity in different and varied environments.

6. ROLE OF METAGENOMICS IN EXPLORING THE RUMEN MICROBIOME

Livestock production is a subsidiary of agricultural production throughout the world, with India being no exception. Ruminants in tropical countries are mainly fed on lignocellulosic by-products of agricultural origin like straw, tree foliage, and oilseed cakes. Digestion of these plant materials in ruminants occurs with the help of extensive microbial communities, including bacteria, fungi, and protozoa [68], which are present in the rumen and endow the host with nutrients. Studies carried by Lauck et al. [69] proved that the microbes present in the rumen belong to three domains viz., Bacteria, Archea (methanogens), and Eukarya (fungi and protozoa). The rumen microbiome is a source of the unique microbial diversity that is the source of plant cell wall-degrading enzymes.

The advent of the next-generation sequencing technologies has made it possible for researchers to describe rumen microbial diversity at a much greater resolution than that of the previous studies [70]. Rumen fluid serves as an excellent source for the mining of CAZymes mainly because of its apparent choice for and evolution as a complex lignocellulosic degradation system [71]. However, identification of these enzymes is restrained because most of the microbes that inhabit the rumen are unculturable. The identification of candidate carbohydrate-active genes from metagenomic sequence data sets initially was a de novo assembly performed with the raw sequences followed by a prediction of the putative open reading frame. This study offers new insights into the field of microbiology as well as for biotechnology. Data generated from the rumen metagenome may be worked upon for isolating the potential enzymes of industrial importance.

7. BIOREMEDIATION: A METAGENOMICS DRIFT

Since the day humans invaded the planet, it has been packed with several toxic pollutants from different sources. Recent advancements in scientific technology have reduced environmental pollution in a number of ways, and bioremediation is considered as one of the finest ways to neutralize contaminated environments [72]. The emergence of the “omic” approaches has the potential and promises to revolutionize the field of microbiology by offering direct access to microbial communities inhabiting the contaminated environments [73]. The metagenomics approach has best been recognized as an efficient method for the removal of various types of pollutants [74].

Several studies carried out [75] suggested that microbial communities serve as the potential alternatives for the elimination of toxic pollutants from the environment (Fig. 2). These molecular techniques have been applied in monitoring the bioremediation process of the hydrocarbon, and associated pollutants and invariably have significantly improved the biological treatment of these contaminants [76]. The increased applications of the metagenomics techniques have narrowed down the gap and are reported to be used in exploring the diversity of the many activated sludge habitats [77]. Precise indication regarding the analysis of microbial diversity of hydrocarbon polluted habitats has been stated in oil leak-affected mangrove areas of Brazil, the sediment of the deep-sea of Mexico, and in petroleum sewage [78]. Besides its role in analyzing the taxonomic diversity of a particular area, metagenomics also allows us to design a pipeline to chalk out the degradation pathways of a particular area.

Bioremediation for eternity has accommodated newer advances of science and technology for the establishment of better environments. Some studies carried out [65] confirmed that there had been a gradual rise in the interest in metagenomics-based bioremediation studies. These studies suggest that metagenomics may prove to be one of the best adaptations for bioremediation, therefore leading towards the formation of healthy and non-toxic environments.

8. ROLE OF METAGENOMICS IN THE SYNTHESIS OF BIOFUELS

Renewable energy resources such as biodiesel and bioethanol have gained much of the attention of scientists and industries mainly because of their environmental friendliness, cost-effectiveness, and social benefits. Alternative energy sources based on the conversion of biomass to biofuels require cost-effective techniques so that they are economically realistic. The need of the hour is to screen out some of the novel enzymes (such as 33 Carbohydrate-Binding Modules (CBM33), Glycoside Hydrolases (GH61)), catalyzing the oxidative conversion of biomass to biofuels [79]. According to Leresche et al. [80], bacteria seem to be the main prime source for these (Endoglucanase, Cellodextrinase β-glucosidase, Xylanase Mannanase, Xylosidase, Arbinofuranosidase, Lichenase, Glucanase, Amylase, Phosphophenol pyruvate, carboxykinase, Xylanase, Cyclophilin, Mannanase) enzymes.

Since more than 99% of the microbes are unculturable, a large pool of the genes and gene products (enzymes) remains unexploited. With the rapid development of next-generation sequencing techniques, metagenomics has been employed to identify the enzymes used for biofuels production. This technology facilitated scientists to found out many novel enzymes like endoglucanase, amylolytic enzymes, xylanase, lignases, β-glucosidase for bio-ethanol, and lipolytic enzymes for biodiesel production [81]. These enzymes may have the potential for new applications in biofuels production. To date, the comparative biomass-degrading enzymes that were screened from the environmental samples include polysaccharide-modifying enzymes (cellulases, α-amylases, xylanases, 1, 4-α-glucan branching enzymes), dehydrogenases, oxygenases, Oxidoreductases, carboxyl-hydrolases (esterases, lipases).

9. MICROBIAL SIGNATURE IN FORENSIC SEXUAL ASSAULT CASES

In medicolegal cases like sexual assault (rape), association of the accused with the victim is a challenging task for the medical practitioners as well as forensic experts. Studies have suggested that the microbial communities inhabiting individual’s pubic hairs could function as potential signatures to trace their involvement in sexual assault cases [82]. Hair function as one of the most common types of trace evidence in any forensic investigation; however, the bulk of the hairs received from the crime scene lack their roots and contain less amount of human genetic material to carry out DNA profiling of suspects. In that case, hair overloaded with microbial colonies favours as microbial signatures that could function as an alternative to track out the suspects.

Seminal and vaginal fluid, pubic hairs microbiota profiling after alleged sexual assault favours a clue of association with the victim and accused [83]. The occurrence of seminal, vaginal fluid, saliva, and pubic hairs is often found at the scene of the crime. The microbiota inhibited in biological fluids appeared to be transferred during intercourse, suggesting its potential for forensic analysis on sexual assault cases.

10. MINING THE BIG MICROBIOME DATA

Considering the big microbiome data sets, the use of next-generation high throughput sequencing techniques would be a promising technology for mining it, rather than the conventional cultivation approaches. DNA sequencing, followed by assembly and taxonomic and functional annotation, are the prerequisites for understanding and exploring different microbiomes. However, revealing and unlocking microbiome data sets were quite difficult owing to the limitations inabilities to obtain and process the data generated by sequencing.

Nowadays, next-generation high-throughput sequencing technologies, such as multiple displacement amplification for single-cell sequencing, and numerous statistical analysis tools, such as QIIME [84], MG-RAST [85], Mothur [86], MEGAN [87], PICRUSt [88] for microbiome data, made it possible to unlock the microbial communities from various perspectives. The modern high throughput sequencing approaches in combination with the Insilco analysis tools allow a much detailed and comprehensive study of diverse microbial communities. Integration of all these methods can answer the most fundamental questions of microbiology, i.e., “who is there?” and “what are they doing?” and “how are they doing it?”

11. LIMITATIONS OF METAGENOMICS

Metagenomics, the so-called fourth domain of life, deals with the molecular approach of culturing microbes. However, Metagenomics has established itself as an indispensable and widely affordable tool for studying unculturable microorganisms (Bacteria, Archaea, and viruses) [89]. Metagenomics also has certain limitations. The main drawback of this technique is the lack of knowledge of the environment and its instability with respect to time and space and hence cannot guarantee to sample representatively and reproducibility.

To accumulate knowledge based on ecological niches, there is a need for the development of tools with better descriptive modes. Despite the formidable advancement in high throughput and the cost efficiency of sequencing technologies, the cost of sequencing remained a limiting factor. The functional screening may be unfair because of the use of heterologous systems for the expression of the gene, the reason being that it might have inappropriate gene expression, risk of toxicity, etc. The demand is for the development of new heterologous expression vector systems that may represent the biology as well as the ecology of the phylogenetic division. This calls for a sober investment to work out the cultivability of some of the recalcitrant microorganisms.

CONCLUSION

Uncultured microorganisms comprise the majority of the planet’s biological diversity. Based on their habitat and unique characteristic features, these microorganisms serve as a powerful source of many important metabolites such as antibiotics, enzymes, proteins, etc. Understanding the real value of genetic diversity of the microbial and the increasing pursuits in biotechnological applications of microbial by-products such as metabolites, antibiotics, enzymes, proteins, biomaterials, etc., may incite the development of innovative research techniques for the direct or indirect acquirement of these genes. As outlined, metagenomic analyses facilitate a comprehensive study of the microbial communities along with the unparalleled access of genetic diversity therein. Outrageous information has been achieved in a relatively short period concerning the taxonomy, phylogeny, and genetic novelty among the diverse metagenome. The advent of the new molecular techniques and the continuous decrease in the sequencing rates will bloom this at an increasing rate in the near future.

LIST OF ABBREVIATIONS

Gt = Gigatons
C = Carbon
CNS = Central Nervous System
GM = Gut Microbiome
SCFAs = Short Chain Fatty Acids
PCR = Polymerase Chain Reaction
BDNF = Brain-Derived Neurotrophic Factor
GABA = γ-Aminobutyric Acid
QIIME = Quantative Insights into Microbial Ecology
MG-RAST = Metagenomics Rapid Annotation Using Subsystem Technology
MEGAN = Metagenome Analyzer
PICRUSt = Phylogenetic Investigation of Communities by Reconstruction of Unobserved States

CONSENT FOR PUBLICATION

Not applicable.

FUNDING

None.

CONFLICTS OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

The authors are thankful to the Dr. Harisingh Gour University, Sagar (MP), and CTM-IRTE, Faridabad, India, for providing the opportunity to work and their support and interest.

REFERENCES

1
Bar-On YM, Phillips R, Milo R. The biomass distribution on Earth. Proc Natl Acad Sci USA 2018; 115(25): 6506-11.
2
Bardgett RD, van der Putten WH. Belowground biodiversity and ecosystem functioning. Nature 2014; 515(7528): 505-11.
3
Fuhrman JA. Microbial community structure and its functional implications. Nature 2009; 459(7244): 193-9.
4
Malla MA, Dubey A, Kumar A, Yadav S, Hashem A, Abd Allah EF. Exploring the human microbiome: The potential future role of next-generation sequencing in disease diagnosis and treatment. Front Immunol 2019; 9: 2868.
5
Hughes RL. A review of the role of the gut microbiome in personalized sports nutrition. Front Nutr 2020; 6(191): 191.
6
Sender R, Fuchs S, Milo R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol 2016; 14(8)e1002533
7
Cheng M, Cao L, Ning K. Microbiome big-data mining and applications using single-cell technologies and metagenomics approaches toward precision medicine. Front Genet 2019; 10: 972.
8
Fakruddin M, Mannan K. Methods for analyzing diversity of microbial communities in natural environments. Ceylon J Sci Biol Sci 2013; 42(1)
9
Escalas A, Hale L, Voordeckers JW, et al. Microbial functional diversity: From concepts to applications. Ecol Evol 2019; 9(20): 12000-16.
10
Sampson T R, Debelius J W, Thron T, et al. Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease Cell 2016; 167(6): 1469-80. e1412.
11
Rowland I, Gibson G, Heinken A, et al. Gut microbiota functions: Metabolism of nutrients and other food components. Eur J Nutr 2018; 57(1): 1-24.
12
Williams JM, Duckworth CA, Burkitt MD, Watson AJM, Campbell BJ, Pritchard DM. Epithelial cell shedding and barrier function: A matter of life and death at the small intestinal villus tip. Vet Pathol 2015; 52(3): 445-55.
13
O’Neill CA, Monteleone G, McLaughlin JT, Paus R. The gut-skin axis in health and disease: A paradigm with therapeutic implications. BioEssays 2016; 38(11): 1167-76.
14
Salem I, Ramser A, Isham N, Ghannoum MA. The gut microbiome as a major regulator of the gut-skin axis. Front Microbiol 2018; 9: 1459.
15
Pull SL, Doherty JM, Mills JC, Gordon JI, Stappenbeck TS. Activated macrophages are an adaptive element of the colonic epithelial progenitor niche necessary for regenerative responses to injury. Proc Natl Acad Sci USA 2005; 102(1): 99-104.
16
Waclawiková B, El Aidy S. Role of microbiota and tryptophan metabolites in the remote effect of intestinal inflammation on brain and depression. Pharmaceuticals (Basel) 2018; 11(3): 63.
17
Cheung SG, Goldenthal AR, Uhlemann AC, Mann JJ, Miller JM, Sublette ME. Systematic review of gut microbiota and major depression. Front Psychiatry 2019; 10: 34.
18
Turkiewicz J, Jin Ryu H, Mayer EA. Gut microbes and behavior. Curr Opin Behav Sci 2019; 28: 72-7.
19
Desbonnet L, Clarke G, Shanahan F, Dinan TG, Cryan JF. Microbiota is essential for social development in the mouse. Mol Psychiatry 2014; 19(2): 146-8.
20
Hsiao EY, McBride SW, Hsien S, et al. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell 2013; 155(7): 1451-63.
21
Bastiaanssen TFS, Cussotto S, Claesson MJ, Clarke G, Dinan TG, Cryan JF. Gutted! Unraveling the role of the microbiome in major depressive disorder. Harv Rev Psychiatry 2020; 28(1): 26-39.
22
Johnson KVA. Gut microbiome composition and diversity are related to human personality traits. Human Microbiome Journal 2020; 15100069
23
Thursby E, Juge N. Introduction to the human gut microbiota. Biochem J 2017; 474(11): 1823-36.
24
Li W, Ma ZS. FBA ecological guild: Trio of firmicutes-bacteroidetes alliance against actinobacteria in human oral microbiome. Sci Rep 2020; 10(1): 287.
25
Davenport ER, Sanders JG, Song SJ, Amato KR, Clark AG, Knight R. The human microbiome in evolution. BMC Biol 2017; 15(1): 127-7.
26
Eng A, Borenstein E. Taxa-function robustness in microbial communities. Microbiome 2018; 6(1): 45.
27
Viney ME, Riley EM. From immunology to eco-immunology: More than a new name 2014; 1-19.
28
Sjögren K, Engdahl C, Henning P, et al. The gut microbiota regulates bone mass in mice. J Bone Miner Res 2012; 27(6): 1357-67.
29
Dar H, Tomar G, Srivastava R. Probiotics and bone health: It takes guts to improve bone density. Int J Immun Can Res 2015; 1: 018-22.
30
Shevach EM. Mechanisms of foxp3+ T regulatory cell-mediated suppression. Immunity 2009; 30(5): 636-45.
31
Dedrick S, Sundaresh B, Huang Q, et al. The role of gut microbiota and environmental factors in type 1 diabetes pathogenesis. Front Endocrinol (Lausanne) 2020; 11(78): 78.
32
Zafar TA, Weaver CM, Zhao Y, Martin BR, Wastney ME. Nondigestible oligosaccharides increase calcium absorption and suppress bone resorption in ovariectomized rats. J Nutr 2004; 134(2): 399-402.
33
Weaver CM. Diet, gut microbiome, and bone health. Curr Osteoporos Rep 2015; 13(2): 125-30.
34
Donohoe DR, Garge N, Zhang X, et al. The microbiome and butyrate regulate energy metabolism and autophagy in the mammalian colon. Cell Metab 2011; 13(5): 517-26.
35
Riquelme E, Zhang Y, Zhang L, et al. Tumor microbiome diversity and composition influence pancreatic cancer outcomes. Cell 2019; 178(4): 795-806.e12.
36
Pushalkar S, Hundeyin M, Daley D, et al. The pancreatic cancer microbiome promotes oncogenesis by induction of innate and adaptive immune suppression. Cancer Discov 2018; 8(4): 403-16.
37
Meredith AJ, Hullar Andrea N. Burnett-Hartman; Johanna W. L. Gut microbes, diet, and cancer. Cancer Treat Res 2014; 159: 377-99.
38
Dai Z, Coker OO, Nakatsu G, et al. Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers. Microbiome 2018; 6(1): 70.
39
Wirbel J, Pyl PT, Kartal E, et al. Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer. Nat Med 2019; 25(4): 679-89.
40
Yoshimoto S, Loo TM, Atarashi K, et al. Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome. Nature 2013; 499(7456): 97-101.
41
Dapito DH, Mencin A, Gwak GY, et al. Promotion of hepatocellular carcinoma by the intestinal microbiota and TLR4. Cancer Cell 2012; 21(4): 504-16.
42
Cheng WY, Wu CY, Yu J. The role of gut microbiota in cancer treatment: Friend or foe? Gut 2020; 69(10): 1867-76.
43
Matson V, Fessler J, Bao R, et al. The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients. Science 2018; 359(6371): 104-8.
44
Routy B, Le Chatelier E, Derosa L, et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 2018; 359(6371): 91-7.
45
Frosali S, Pagliari D, Gambassi G, Landolfi R, Pandolfi F, Cianci R. How the intricate interaction among toll-like receptors, microbiota, and intestinal immunity can influence gastrointestinal pathology. J Immunol Res 2015; 2015489821
46
Alves LF, Westmann CA, Lovate GL, de Siqueira GMV, Borelli TC, Guazzaroni ME. Metagenomic approaches for understanding new concepts in microbial science. Int J Genomics 2018; 20182312987
47
Feinstein LM, Sul WJ, Blackwood CB. Assessment of bias associated with incomplete extraction of microbial DNA from soil. Appl Environ Microbiol 2009; 75(16): 5428-33.
48
Hoorman J, Islam R. Understanding soil microbes and nutrient recycling Agriculture and Natural Resources 2010.
49
Simon C, Daniel R. Metagenomic analyses: Past and future trends. Appl Environ Microbiol 2011; 77(4): 1153-61.
50
Jacoby R, Peukert M, Succurro A, Koprivova A, Kopriva S. The role of soil microorganisms in plant mineral nutrition—current knowledge and future directions. Front Plant Sci 2017; 8: 1617.
51
Banik JJ, Brady SF. Recent application of metagenomic approaches toward the discovery of antimicrobials and other bioactive small molecules. Curr Opin Microbiol 2010; 13(5): 603-9.
52
Cardenas E, Kranabetter JM, Hope G, Maas KR, Hallam S, Mohn WW. Forest harvesting reduces the soil metagenomic potential for biomass decomposition. ISME J 2015; 9(11): 2465-76.
53
Daniel R. The metagenomics of soil. Nat Rev Microbiol 2005; 3(6): 470-8.
54
Gillespie DE, Brady SF, Bettermann AD, et al. Isolation of antibiotics turbomycin a and B from a metagenomic library of soil microbial DNA. Appl Environ Microbiol 2002; 68(9): 4301-6.
55
Karigar CS, Rao SS. Role of microbial enzymes in the bioremediation of pollutants: a review. Enzyme Res 2011; 2011805187
56
Mahapatra GP, Raman S, Nayak S, Gouda S, Das G, Patra JK. Metagenomics approaches in discovery and development of new bioactive compounds from marine actinomycetes. Curr Microbiol 2020; 77(4): 645-56.
57
Jiang L, Luo C, Zhang D, Song M, Sun Y, Zhang G. Biphenyl-metabolizing microbial community and a functional operon revealed in E-waste-contaminated soil. Environ Sci Technol 2018; 52(15): 8558-67.
58
Phale PS, Shah BA, Malhotra H. Variability in assembly of degradation operons for naphthalene and its derivative, carbaryl, suggests mobilization through horizontal gene transfer. Genes (Basel) 2019; 10(8): 569.
59
Maghembe R, Damian D, Makaranga A, et al. Omics for bioprospecting and drug discovery from bacteria and microalgae. Antibiotics (Basel) 2020; 9(5)E229
60
Elyasi Far B, Ahmadi Y, Yari Khosroshahi A, Dilmaghani A. Microbial alpha-amylase production: Progress, challenges and perspectives. Adv Pharm Bull 2020; 10(3): 350-8.
61
Verma D, Kawarabayasi Y, Miyazaki K, Satyanarayana T. Cloning, expression and characteristics of a novel alkalistable and thermostable xylanase encoding gene (Mxyl) retrieved from compost-soil metagenome. PLoS One 2013; 8(1)e52459
62
Pan X, Wang L, Ye J, Qin S, He B. Efficient synthesis of β-lactam antibiotics with very low product hydrolysis by a mutant Providencia rettgeri penicillin G acylase. Appl Microbiol Biotechnol 2018; 102(4): 1749-58.
63
Pecman A, Kutnjak D. Gutiérrez-AguirreI.; AdamsI.; FoxA.; Boonham N.; Ravnikar M. Next generation sequencing for detection and discovery of plant viruses and viroids: comparison of two approaches. Front Microbiol 1998; 2017: 8.
64
Ouborg N, Vriezen WH. An ecologist’s guide to ecogenomics. J Ecol 2007; 8-16.
65
Willner D, Furlan M, Haynes M, et al. Metagenomic analysis of respiratory tract DNA viral communities in cystic fibrosis and non-cystic fibrosis individuals. PLoS One 2009; 4(10)e7370
66
Finkbeiner SR, Allred AF, Tarr PI, Klein EJ, Kirkwood CD, Wang D. Metagenomic analysis of human diarrhea: Viral detection and discovery. PLoS Pathog 2008; 4(2)e1000011
67
Briese T, Paweska JT, McMullan LK, et al. Genetic detection and characterization of Lujo virus, a new hemorrhagic fever-associated arenavirus from Southern Africa. PLoS Pathog 2009; 5(5)e1000455
68
Greninger AL, Runckel C, Chiu CY, et al. The complete genome of klassevirus - a novel picornavirus in pediatric stool. Virol J 2009; 6(1): 82.
69
Lauck M, Hyeroba D, Tumukunde A, et al. Novel, divergent simian hemorrhagic fever viruses in a wild Ugandan red colobus monkey discovered using direct pyrosequencing. PLoS One 2011; 6(4)e19056
70
Matthews C, Crispie F, Lewis E, Reid M, O’Toole PW, Cotter PD. The rumen microbiome: A crucial consideration when optimising milk and meat production and nitrogen utilisation efficiency. Gut Microbes 2019; 10(2): 115-32.
71
Hook SE, Wright A-DG, McBride BW. Methanogens: Methane producers of the rumen and mitigation strategies. Archaea 2010; 2010945785
72
Pitta DW, Pinchak WE, Indugu N, Vecchiarelli B, Sinha R, Fulford JD. Metagenomic analysis of the rumen microbiome of steers with wheat-induced frothy bloat. Front Microbiol 2016; 7: 689.
73
Patel DD, Patel AK, Parmar NR, et al. Microbial and carbohydrate active enzyme profile of buffalo rumen metagenome and their alteration in response to variation in the diet. Gene 2014; 545(1): 88-94.
74
Blaser MJ. Harnessing the power of the human microbiome. Proc Natl Acad Sci USA 2010; 107(14): 6125-6.
75
Duarte M, Nielsen A, Camarinha-Silva A, et al. Functional soil metagenomics: Elucidation of polycyclic aromatic hydrocarbon degradation potential following 12 years of in situ bioremediation. Environ Microbiol 2017; 19(8): 2992-3011.
76
Hemme CL, Deng Y, Gentry TJ, et al. Metagenomic insights into evolution of a heavy metal-contaminated groundwater microbial community. ISME J 2010; 4(5): 660-72.
77
Azubuike CC, Chikere CB, Okpokwasili GC. Bioremediation techniques-classification based on site of application: principles, advantages, limitations and prospects. World J Microbiol Biotechnol 2016; 32(11): 180.
78
Yadav S. Deciphering role of gut micro-biome of earthworms in bio-remediation process using metagenome. Int J Sci 2016; 5(04): 64-7.
79
Horn SJ, Vaaje-Kolstad G, Westereng B, Eijsink VG. Novel enzymes for the degradation of cellulose. Biotechnol Biofuels 2012; 5(1): 45.
80
Leresche J E, Meyer H P. Chemo catalysis and biocatalysis (biotransformation): Some thoughts of a chemist and of a biotechnologist. ACS 2006; 10(3): 572-80.
81
Robak K, Balcerek M. Review of second generation bioethanol production from residual biomass. Food Technol Biotechnol 2018; 56(2): 174-87.
82
Clarke TH, Gomez A, Singh H, Nelson KE, Brinkac LM. Integrating the microbiome as a resource in the forensics toolkit. Forensic Sci Int Genet 2017; 30: 141-7.
83
Tridico SR, Murray DC, Addison J, Kirkbride KP, Bunce M. Metagenomic analyses of bacteria on human hairs: a qualitative assessment for applications in forensic science. Investig Genet 2014; 5(1): 16.
84
Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7(5): 335-6.
85
Keegan KP, Glass EM, Meyer F. MG-RAST, a metagenomics service for analysis of microbial community structure and function. Methods Mol Biol 2016; 1399: 207-33.
86
Schloss PD, Westcott SL, Ryabin T, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 2009; 75(23): 7537-41.
87
Huson DH, Weber N. Microbial community analysis using MEGAN. Methods Enzymol 2013; 531: 465-85.
88
Langille MGI, Zaneveld J, Caporaso JG, et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol 2013; 31(9): 814-21.
89
Teeling H, Glöckner FO. Current opportunities and challenges in microbial metagenome analysis--a bioinformatic perspective. Brief Bioinform 2012; 13(6): 728-42.