<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ABB</journal-id><journal-title-group><journal-title>Advances in Bioscience and Biotechnology</journal-title></journal-title-group><issn pub-type="epub">2156-8456</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abb.2021.125009</article-id><article-id pub-id-type="publisher-id">ABB-109527</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Functional Metagenomics from the Rumen Environment—A Review
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wondimagegne</surname><given-names>Bekele</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abiy</surname><given-names>Zegeye</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Addis</surname><given-names>Simachew</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Getnet</surname><given-names>Assefa</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia</addr-line></aff><aff id="aff1"><addr-line>Swedish University of Agricultural Sciences, Ume&amp;amp;#226;, Sweden</addr-line></aff><aff id="aff3"><addr-line>Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>05</month><year>2021</year></pub-date><volume>12</volume><issue>05</issue><fpage>125</fpage><lpage>141</lpage><history><date date-type="received"><day>20,</day>	<month>March</month>	<year>2021</year></date><date date-type="rev-recd"><day>28,</day>	<month>May</month>	<year>2021</year>	</date><date date-type="accepted"><day>31,</day>	<month>May</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   The rumen microbiome plays an essential role in ruminant physiology, nutrition and pathology as well as host immunity. A better understanding of rumen
    microbial processes and identification of which populations are responsible for specific functions within the rumen microbiome will lead to better management and sustainable utilization of the available feed base while maintaining a low environmental impact. Recent advance in the culture independent method of microbiology such as metagenomics, unravels potentially the rumen microbial process. Th
   ere are two basic types of metagenomics studies: Sequence-based and function-based metagenomics. Sequence-based metagenomics involves sequencing and analysis of DNA from environmental samples. Its purpose is to assemble genomes, identify genes, find complete metabolic pathways, and compare organisms of different communities. Whereas functional metagenomics is the study of the collective genome of a microbial community by expressing it in a foreign host usually 
   Escherichia 
   coli
    (
   E. 
   coli
   )
   .
    It is a promising approach unearthing novel enzymes even from yet to culture rumen microbiota. Further advances in the screening techniques promise vast opportunities to rumen microbiologists, and animal nutritionist. The identification of novel enzyme through functional metagenomics consists of three parts: rumen sample collection; DNA library construction and screening of individual clone. Functional metagenomics was successfully applied to identify different antibiotics, hydrolytic enzymes, antibiotic resistance genes, and many other functions; moreover, it allowed characterization of genes encoding enzymes with a particular activity, which represents completely novel sequence. There are a number of outputs from functionally screened rumen product such as carbohydrate active enzymes (CAZymes) that can break down plant cell walls. Company involved commercialization of metagenomics research such as Syngenta, Genencor International, BRAIN etc., has produced many biological molecules of commercial interest. The aim of this paper is to elucidate functional metagenomics, from rumen environment and its potential for commercial purpose. 
  
 
</p></abstract><kwd-group><kwd>DNA Isolation</kwd><kwd> DNA Library Construction</kwd><kwd> Functional Screening</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Unlike monogastric, the forestomach in the ruminants is divided into four compartments, i.e. rumen, reticulum, omasum and abomasum or true stomach or glandular stomach [<xref ref-type="bibr" rid="scirp.109527-ref1">1</xref>]. The Ruminants forestomach allows colonization of countless numbers of microbes [<xref ref-type="bibr" rid="scirp.109527-ref2">2</xref>], which are collectively called the rumen microbiome [<xref ref-type="bibr" rid="scirp.109527-ref3">3</xref>]. Out of these groups, bacteria and protozoa predominate the microbial biomass [<xref ref-type="bibr" rid="scirp.109527-ref4">4</xref>]. The rumen microbiome plays an essential role in ruminant physiology, nutrition and pathology as well as host immunity [<xref ref-type="bibr" rid="scirp.109527-ref5">5</xref>]. Rumen microorganisms are able to modulate nutrient absorption and may be among the major determinants of nutrient utilization efficiency and detoxifying plant secondary compounds [<xref ref-type="bibr" rid="scirp.109527-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref7">7</xref>]. However, they are also responsible for methane production [<xref ref-type="bibr" rid="scirp.109527-ref8">8</xref>]. Diet composition and dry matter intake are responsible for altering the rumen microbiome composition [<xref ref-type="bibr" rid="scirp.109527-ref9">9</xref>]. Rumen is one of the most underutilized microbial ecosystems that produce an array of enzymes for digestion and utilization of different plant constituents [<xref ref-type="bibr" rid="scirp.109527-ref4">4</xref>], e.g. Lignocellulolytic enzymes from synergistic relationship of rumen microbiome extract energy from the fiber feed and support digestion of the host. This yields volatile fatty acids (VFAs, acetate, butyrate, propionate), formic acid, H<sub>2</sub>, CO<sub>2</sub>, and CH<sub>4</sub> [<xref ref-type="bibr" rid="scirp.109527-ref10">10</xref>].</p><p>The major obstacles hindering our understanding of the structure and function of the rumen microbiome are that only approximately 15% of rumen bacteria appear to be culturable [<xref ref-type="bibr" rid="scirp.109527-ref11">11</xref>], which highlights the importance of molecular biology approaches to sidestep this limitation and study the rumen system in total [<xref ref-type="bibr" rid="scirp.109527-ref12">12</xref>].</p><p>Recent developments in the study of gut microbial communities (microbiomes) through genomics and metagenomics are revolutionizing our understanding of the functions of the ecosystem and the interactions among their members and the host animal [<xref ref-type="bibr" rid="scirp.109527-ref8">8</xref>]. Metagenomics is a fast growing and diverse field within environmental biology directed at obtaining knowledge on genomes of environmental microbes, without prior cultivation, as well as of entire microbial communities. Other terms are also used to describe this: environmental genomics, eco-genomics, community genomics, and mega-genomics [<xref ref-type="bibr" rid="scirp.109527-ref13">13</xref>].</p><p>Two approaches have been commonly used for exploring the rich genetic resource provided by rumen microbiome: high throughput screening of cloned expression libraries made from rumen metagenome DNA for gene products of interest (functional metagenomics) and sequencing based characterization of the aggregate collection of genomes and genes present in rumen microbial communities, at both DNA (metagenomics) and RNA levels (meta-transcript omics) [<xref ref-type="bibr" rid="scirp.109527-ref5">5</xref>].</p><p>The term “functional metagenomics”, in a broad sense, is meant to reflect a connection between the identity of a microbe, or a community, uncovered via metagenomics and their respective function(s) in the environment [<xref ref-type="bibr" rid="scirp.109527-ref13">13</xref>]. By combining different approaches, investigation at a functional level (e.g. cellulose degradation, hydrogen metabolism) rather than a phylogenetic one is more pragmatic approach to uncover new protein [<xref ref-type="bibr" rid="scirp.109527-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref14">14</xref>]. That helps to better assign function, role and significance to differences in microbial community structure.</p><p>Functional screening technology was first applied to rumen materials to mine novel enzymes in 2005 [<xref ref-type="bibr" rid="scirp.109527-ref15">15</xref>]. Despite the accumulated body of information, there is still an incomplete understanding of the functioning and ecology of the rumen microbiome and its behavior from yet to be culture microbes. For instance, the complete mechanism of plant polysaccharide degradation, the quintessential rumen function, is not yet elucidated [<xref ref-type="bibr" rid="scirp.109527-ref16">16</xref>]. So, this manuscript is intended to highlight functional metagenomics approach from the rumen environment.</p></sec><sec id="s2"><title>2. Microbes Involved in Various Rumen Functions</title><p>The rumen harbor very complex consortium of bacteria, protozoa, archaea, fungi and bacteriophages, where the interaction among them results in better feed degradation [<xref ref-type="bibr" rid="scirp.109527-ref17">17</xref>]. According to Woese’s classification all microbes in the rumen ecosystem can be distinguished into three domains: Bacteria (bacteria), Archaea (methanogens), and Eucarya (protozoa and fungi) [<xref ref-type="bibr" rid="scirp.109527-ref18">18</xref>]. <xref ref-type="table" rid="table1">Table 1</xref> illustrates the physical, chemical, and microbiological characteristics of rumen ecosystem.</p></sec><sec id="s3"><title>3. Methodology</title><sec id="s3_1"><title>3.1. Rumen Functional Metagenomics Methodology</title><p>The Rumen microbiome functional metagenomics protocol consists of three parts: Environment (rumen fluid) sample collection; DNA library construction and isolate or screening of individual clones. A DNA library consists of random fragments of DNA (genes from rumen metagenome) insert into a circular DNA vectors called e.g. Plasmid/fosmids. These circular vectors are then put into a microbe usually E. coli, so they can be replicated during the microbe’s life cycle. The next step is to isolate or screen individual clones following particular function (e.g. antibiotic resistance).</p></sec><sec id="s3_2"><title>3.2. Rumen Samples Collection Method</title><p>The standardization of collection and processing methods for rumen samples is</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Physical, chemical, and microbiological characteristics of rumen ecosystem</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Physical properties</th></tr></thead><tr><td align="center" valign="middle" >Dry matter (%)</td><td align="center" valign="middle" >10 - 18</td></tr><tr><td align="center" valign="middle" >Osmolality</td><td align="center" valign="middle" >250 - 350 mOsmol/Kg<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >5.5 - 6.9 (Mean 6.4)</td></tr><tr><td align="center" valign="middle" >Redox potential</td><td align="center" valign="middle" >−350 to −400 mV</td></tr><tr><td align="center" valign="middle" >Temperature</td><td align="center" valign="middle" >38˚C - 41˚C</td></tr><tr><td align="center" valign="middle" >Chemical properties</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Amino acids and oligopeptides</td><td align="center" valign="middle" >&lt;1 mmol∙L<sup>−1</sup> present 2 - 3 h post feeding</td></tr><tr><td align="center" valign="middle" >Ammonia</td><td align="center" valign="middle" >2 - 12 mmol∙L<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Dietary (cellulose, hemicelluloses, pectin) component</td><td align="center" valign="middle" >Always present</td></tr><tr><td align="center" valign="middle" >Endogenous (mucopolysaccharides)</td><td align="center" valign="middle" >Always present</td></tr><tr><td align="center" valign="middle" >Gas phase (%)</td><td align="center" valign="middle" >CO<sub>2</sub> 65; CH<sub>4</sub> 27, N<sub>2</sub> 7; O<sub>2</sub> 0.6, H<sub>2</sub> 0.2</td></tr><tr><td align="center" valign="middle" >Growth factors</td><td align="center" valign="middle" >Good supply; branched chain fatty acids, long chain fatty acids, purines, pyrimidines, other unknown</td></tr><tr><td align="center" valign="middle" >Lignin</td><td align="center" valign="middle" >Always present</td></tr><tr><td align="center" valign="middle" >Minerals</td><td align="center" valign="middle" >High Na; generally good supply</td></tr><tr><td align="center" valign="middle" >Nonvolatile acids (mmol∙L<sup>−1</sup>)</td><td align="center" valign="middle" >Lactate &lt; 10</td></tr><tr><td align="center" valign="middle" >Soluble carbohydrates</td><td align="center" valign="middle" >&lt;1 mmol∙L<sup>−1</sup> present 2 - 3 h post feeding</td></tr><tr><td align="center" valign="middle" >Trace elements/vitamins</td><td align="center" valign="middle" >Always present; good supply of B vitamins</td></tr><tr><td align="center" valign="middle" >Volatile fatty acids (mmol∙L<sup>−1</sup>)</td><td align="center" valign="middle" >Acetate 60 - 90, propionate 15 - 30, butyrate 10 - 25, branched chain and higher 2 - 5</td></tr><tr><td align="center" valign="middle" >Microbiological properties</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Anaerobic fungi</td><td align="center" valign="middle" >10<sup>3-5</sup> g<sup>−1</sup> (6 genera)</td></tr><tr><td align="center" valign="middle" >Bacteria</td><td align="center" valign="middle" >10<sup>10-11</sup> g<sup>−1</sup> (&gt;200 species)</td></tr><tr><td align="center" valign="middle" >Bacteriophage</td><td align="center" valign="middle" >10<sup>7-9</sup> g<sup>−1</sup> particles ml<sup>−1</sup></td></tr><tr><td align="center" valign="middle" >Ciliate protozoa</td><td align="center" valign="middle" >10<sup>4-6</sup> g<sup>−1</sup> (25 genera)</td></tr></tbody></table></table-wrap><p>Source: [<xref ref-type="bibr" rid="scirp.109527-ref19">19</xref>].</p><p>crucial to reduce the level of errors that may affect the analysis and interpretation of the data [<xref ref-type="bibr" rid="scirp.109527-ref20">20</xref>]. <xref ref-type="table" rid="table2">Table 2</xref> illustrates different rumen sampling and processing techniques.</p></sec><sec id="s3_3"><title>3.3. Rumen Microbiome DNA Extraction Methods</title><p>Sampling and DNA extraction methods result in adequate yields of microbial DNA that also accurately represents the microbial community are crucial [<xref ref-type="bibr" rid="scirp.109527-ref22">22</xref>]. Environmental samples DNA fragments size varied in a range between less than 10 kb and more than 400 kb, depending on the sample and the mechanical, chemical, or enzymatic protocols used for the DNA extraction [<xref ref-type="bibr" rid="scirp.109527-ref23">23</xref>]. Different Author evaluated the phylogeny of rumen microbes using different rumen microbiome DNA extraction methods. <xref ref-type="table" rid="table3">Table 3</xref>, illustrate the different DNA extraction evaluation method and its output.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Rumen sampling and processing techniques</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Ref.</th><th align="center" valign="middle" >Evaluation method</th><th align="center" valign="middle" >Host animal</th><th align="center" valign="middle" >Out put</th></tr></thead><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref21">21</xref>]</td><td align="center" valign="middle" >Sampling technique (cannulation vs. stomach tube) and Site (dorsal sac vs. ventral sac) on the rumen microbiome and fermentation parameters</td><td align="center" valign="middle" >Han woo steers.</td><td align="center" valign="middle" >Rumen microbiome and fermentation parameters are not affected by different sampling techniques and sampling sites. A stomach tube can be a feasible alternative method to collect representative rumen samples.</td></tr><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref20">20</xref>]</td><td align="center" valign="middle" >Processing method rumen liquor that was either immediately frozen or samples that were stored as cell pellets on the key microbial group</td><td align="center" valign="middle" >Fistulated Brahman steers</td><td align="center" valign="middle" >Regardless of the processing method used, both identified the key microbial groups. However, immediately freezing samples might alter the abundance of species</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> DNA extraction evaluation method and its output</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Ref.</th><th align="center" valign="middle" >Evaluation method</th><th align="center" valign="middle" >Host animal</th><th align="center" valign="middle" >Output</th></tr></thead><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref24">24</xref>]</td><td align="center" valign="middle" >Comparison of the bacterial profile of intracellular (iDNA) and extracellular DNA (eDNA) Rumen fluid treatment (cheesecloth squeezed, centrifuged filtered), Storage temperature (RT, −80˚C) and Cryo protectants (PBS-glycerol, ethanol)</td><td align="center" valign="middle" >cow rumen</td><td align="center" valign="middle" >Intracellular DNA extraction using bead-beating method from cheesecloth sieved rumen content mixed with PBS-glycerol and stored at −80˚C was found as the optimal method to study ruminal bacterial profile.</td></tr><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref22">22</xref>]</td><td align="center" valign="middle" >Fifteen different DNA extraction methods</td><td align="center" valign="middle" >cow and sheep rumen</td><td align="center" valign="middle" >There is significant differences in microbial community between extraction methods, e.g. Relative abundances some bacteria e.g. phyla Bacteroidetes and Firmicutes DNA extraction methods that involved phenol-chloroform extraction and mechanical lysis steps tended to be more comparable.</td></tr><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref25">25</xref>]</td><td align="center" valign="middle" >DNA extraction such as: Repeated bead beating (RBB), Phenol dependent bead beating (PBB), Fast spin DNA kit for soil (FDSS), and PQIAmini. On observed microbial communities from fibrous and liquid rumen fractions</td><td align="center" valign="middle" >Dairy cows.</td><td align="center" valign="middle" >All four extraction procedures yielded DNA suitable for further analysis of bacterial, archaeal and anaerobic fungal communities using quantitative PCR and pyrosequencing of relevant taxonomic markers.</td></tr><tr><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.109527-ref26">26</xref>]</td><td align="center" valign="middle" >Ten improved DNA extraction methods</td><td align="center" valign="middle" >Yak</td><td align="center" valign="middle" >hexadecyltrimethylammomium bromide-lysozyme using physical lysis by bead beating is recommended for the DNA isolation of the rumen microbial community. It also showed that the bead-beating step is necessary to effectively break down the cell walls of all of the microbes, especially Gram-positive bacteria.</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Constructing Functional Metagenomics Libraries</title><p>The metagenomics for different enzyme discovery involves creating of a metagenomics library from rumen sample and screening the library clones for specific enzymes [<xref ref-type="bibr" rid="scirp.109527-ref27">27</xref>]. Early studies on rumen microorganisms depended on retrieval of genes from libraries of genomic DNA via functional screening or, lately, via PCR amplification of genes and their homologs [<xref ref-type="bibr" rid="scirp.109527-ref28">28</xref>]. Procedurally, clone library construction involves obtaining a DNA or RNA extract from a mixed microbial community of interest, such as rumen sample. Ribosomal RNA Gene is then amplified using PCR or RT-PCR. Amplicons are purified and inserted into a vector such as plasmid containing antibiotic resistance genes [<xref ref-type="bibr" rid="scirp.109527-ref29">29</xref>]. Expression library then screened for a target reaction with a specific substrate [<xref ref-type="bibr" rid="scirp.109527-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref31">31</xref>]. The clone in the expression vectors followed by activity-based screening has endless possibilities of unlocking concealed potential in uncultured microbial world [<xref ref-type="bibr" rid="scirp.109527-ref32">32</xref>].</p><p>There are two distinct strategies taken in metagenomics, according to the primary goal. First, large insert libraries (cosmid, fosmid, or bacterial artificial chromosomes (pBACs)) are constructed for archiving and sequence homology screening purposes: to capture the largest amount of the available genetic resources available in the sample and archive it for further studies/interrogation. Second, small insert expression libraries, especially those made in lambda phage vectors, are constructed for activity screening [<xref ref-type="bibr" rid="scirp.109527-ref14">14</xref>].</p><p>The DNA extraction procedure and size sorting using denaturing gradient gel electrophoresis is a critical step when constructing large-insert libraries (e.g., fosmid, cosmid) and small insert expression libraries (e.g., those in lambda phage and plasmid vectors) [<xref ref-type="bibr" rid="scirp.109527-ref14">14</xref>]. The choice of a vector depends largely on the length of the inserts. Plasmids are suitable for cloning smaller than 10-kb DNA fragments, and cosmids (25 - 35 kb), fosmids (25 - 40 kb), or BACs (100 - 200 kb) can be used to clone larger fragments [<xref ref-type="bibr" rid="scirp.109527-ref33">33</xref>]. Among these vectors, plasmids have high copy numbers and strong vector-borne promoters. Nevertheless, these apparent merits do not improve the hit rate significantly [<xref ref-type="bibr" rid="scirp.109527-ref33">33</xref>]. Cosmid or fosmid based libraries are often preferred due to their large and consistent insert size and high cloning efficiency [<xref ref-type="bibr" rid="scirp.109527-ref27">27</xref>].</p><p>For the construction of a library, most researchers use E .coli as a surrogate host [<xref ref-type="bibr" rid="scirp.109527-ref33">33</xref>]. In most such cases, the host for the cloned DNA has been the workhorse of the molecular geneticist [<xref ref-type="bibr" rid="scirp.109527-ref34">34</xref>]. Various types of E. coli strains are available as highly efficient competent cells from commercial sources.</p><p>However, most function-based approaches for metagenomic screening are hindered by the biased and insufﬁcient expression in E. coli due to transcription-translation machinery of E. coli is not compatible with the expression of genes harvested from environmental microbes. This can result in a very low proportion of positive clones being obtained from one round of screening of metagenomic libraries (in some cases less than 0.01%) [<xref ref-type="bibr" rid="scirp.109527-ref35">35</xref>]. There is an urgent need to develop a greater range of alternative hosts with good expression of foreign genes of metagenomic origins [<xref ref-type="bibr" rid="scirp.109527-ref36">36</xref>]. Furthermore, technical challenge in library construction such as insufficient amount and length of the extracted DNA Parks and Graham [<xref ref-type="bibr" rid="scirp.109527-ref37">37</xref>], inefficient transcription of target genes as well as improper assembly of the corresponding enzymes [<xref ref-type="bibr" rid="scirp.109527-ref38">38</xref>] and DNA shearing [<xref ref-type="bibr" rid="scirp.109527-ref39">39</xref>].</p><p>Development of new host systems using microbes, namely, Streptomyces spp., thermus ther-mophilus, Sulfolobus solfataricus and Proteobacteria [<xref ref-type="bibr" rid="scirp.109527-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref43">43</xref>], have widened the choice of host and compatible enzyme assay systems. E. coli, owing to its ease of transformation and being the best genetically characterized bacterium, has been the choice host for heterologous gene expression in metagenomic studies [<xref ref-type="bibr" rid="scirp.109527-ref32">32</xref>].</p></sec><sec id="s5"><title>5. Screening Strategies to Obtain Metagenome Derived Biocatalysts</title><p>Functional screening has become an increasingly important field for discovering novel biomolecules for applications in biotechnology and medicine [<xref ref-type="bibr" rid="scirp.109527-ref5">5</xref>]. Most activity screenings of metagenomics libraries are based on the cultivation of metagenomics clones on indicator plates allowing analysis of defined enzyme activities via bio catalytic conversion of an indicator substrate that leads to the formation of a clear or colored halo surrounding the “positive” colony [<xref ref-type="bibr" rid="scirp.109527-ref44">44</xref>]. Several parameters are important for successful screening of metagenomics libraries, such as the abundance of the gene in the library, the average insert size, the host-vector system, the use of an adequate host organism that is able to express the target gene, the assay method, the efficiency of heterologous gene expression in a surrogate host and the throughput of screening methods is relatively low [<xref ref-type="bibr" rid="scirp.109527-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref45">45</xref>]. <xref ref-type="table" rid="table4">Table 4</xref>, illustrate recent examples of functional screening strategies employed to obtain metagenome-derived biocatalysts.</p><p>With synchronized advances in the HTS (high throughput screening) methods and the choice of transformation systems with wide available range of hosts for heterologous gene expression, it is now possible to screen up to 50,000 clones per second or over one billion clones per day [<xref ref-type="bibr" rid="scirp.109527-ref46">46</xref>]. Functional screening technology was first applied to rumen materials to mine novel enzymes in 2005 [<xref ref-type="bibr" rid="scirp.109527-ref15">15</xref>].</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Recent examples of functional screening strategies employed to obtain metagenome derived biocatalysts</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Screening approach</th><th align="center" valign="middle" >Target gene</th><th align="center" valign="middle" >Detection method</th><th align="center" valign="middle" >Inducer</th><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Host, vector</th></tr></thead><tr><td align="center" valign="middle" >Agar plate screening</td><td align="center" valign="middle" >b-Glycosidases</td><td align="center" valign="middle" >Phenotypical detection</td><td align="center" valign="middle" >AZCL-xylan, xyloglucan</td><td align="center" valign="middle" >Cow dung</td><td align="center" valign="middle" >E. coli, phage</td></tr><tr><td align="center" valign="middle" >Agar plate screening</td><td align="center" valign="middle" >Genes resistant to toxic elements</td><td align="center" valign="middle" >Phenotypical detection</td><td align="center" valign="middle" >Several antibiotics</td><td align="center" valign="middle" >Dairy cow manure</td><td align="center" valign="middle" >E. coli, fosmid</td></tr><tr><td align="center" valign="middle" >Agar plate screening</td><td align="center" valign="middle" >Genes resistant to toxic elements</td><td align="center" valign="middle" >Phenotypical detection</td><td align="center" valign="middle" >Several antibiotics</td><td align="center" valign="middle" >Cheese food matrix</td><td align="center" valign="middle" >E. coli, fosmid</td></tr><tr><td align="center" valign="middle" >Microtiter plate screening</td><td align="center" valign="middle" >Cellulase</td><td align="center" valign="middle" >Absorbance measurement</td><td align="center" valign="middle" >Dinitrophenol-cellobioside</td><td align="center" valign="middle" >Soil, Buﬀalo rumen, etc.</td><td align="center" valign="middle" >E. coli, fosmid</td></tr><tr><td align="center" valign="middle" >GMD, FACS</td><td align="center" valign="middle" >Screening for antibiotics</td><td align="center" valign="middle" >Fluorescence</td><td align="center" valign="middle" >S. aureus</td><td align="center" valign="middle" >3 strains of Staphylococcus obtained from an ARSculture collection</td><td align="center" valign="middle" >E. coli S. cerevisiae, plasmid</td></tr><tr><td align="center" valign="middle" >Microfluidics (water in oil droplets), FACS</td><td align="center" valign="middle" >Hydrolases</td><td align="center" valign="middle" >Fluorescence</td><td align="center" valign="middle" >Sulfate monoester Phosphate triester</td><td align="center" valign="middle" >Variety of sources (soil, degraded plant material, cow rumen)</td><td align="center" valign="middle" >E. coli, plasmid</td></tr></tbody></table></table-wrap><p>Note: AZCL, azurine-cross-linked; GMD, gel micro-droplet; FACS, fluorescence-activated cell sorting; ARS, agriculture research service. GMD: the microfluidic gel microdroplets. Source: [<xref ref-type="bibr" rid="scirp.109527-ref36">36</xref>].</p><sec id="s5_1"><title>5.1. Agar Plate Screening Method</title><p>It is the oldest method of screening, in which many have used it as a state of the art hydrolytic enzyme screening methodology. This method for functional metagenomics screening gives a simple and straightforward approach to identify novel enzymes that function under diverse conditions. Novel hydrolytic enzyme such as lipases, esterases, cellulases, proteases, laccases, glycosylases, nitrilases, and dehalogenases, have been identiﬁed using this method [<xref ref-type="bibr" rid="scirp.109527-ref47">47</xref>]. The agar plate screening method helps to pin point genes responsible for the resistance to the toxic elements such as antibiotic, extreme salt concentration, extreme pH, and heavy metals [<xref ref-type="bibr" rid="scirp.109527-ref37">37</xref>]. And the assay are based on the production of a chromophore or fluorophore in colonies incubated with a chromogenic or fluorogenic substrate, with the throughput of 10<sup>3</sup> - 10<sup>6</sup> clones per day [<xref ref-type="bibr" rid="scirp.109527-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref49">49</xref>]. The method has successfully isolate large number of unique enzymes from various environments [<xref ref-type="bibr" rid="scirp.109527-ref37">37</xref>].</p></sec><sec id="s5_2"><title>5.2. Microarray Based Screening</title><p>The idea behind DNA microarray-based approach is, screening metagenomics libraries for the presence of selected genes. It efficiently spot a genomic target region [<xref ref-type="bibr" rid="scirp.109527-ref50">50</xref>]. Unlike agar plate, DNA micro array is sequence-based screening method of metagenomics library [<xref ref-type="bibr" rid="scirp.109527-ref51">51</xref>]. The protocol includes identification biological photoreceptors based on a homology search in already sequenced, annotated genomes. The similarity of novel DNA sequences to already identified genes encoding for functional proteins is the basis for microarrays approach [<xref ref-type="bibr" rid="scirp.109527-ref52">52</xref>]. The use of microarrays to profile libraries offers an effective approach for characterizing many clones rapidly [<xref ref-type="bibr" rid="scirp.109527-ref51">51</xref>]. This format is referred to as a metagenome microarray (MGA) [<xref ref-type="bibr" rid="scirp.109527-ref14">14</xref>]. However, the difficulty and limitation of this approach is related to achieving high hybridization efficiency and that the target genes derived from conserved regions of already known protein families reduce our chances for obtaining fundamentally new proteins [<xref ref-type="bibr" rid="scirp.109527-ref35">35</xref>].</p></sec><sec id="s5_3"><title>5.3. Microtiter Plate Screening</title><p>Microtiter plates approach involves incubation of bacterial culture with enzyme substrate in the microwells [<xref ref-type="bibr" rid="scirp.109527-ref32">32</xref>]. The use of microtiter plate assays is a conventional and straightforward high-throughput approach to protein library screening [<xref ref-type="bibr" rid="scirp.109527-ref53">53</xref>]. The method provides high-throughput at minimal expenses in time, money and work effort [<xref ref-type="bibr" rid="scirp.109527-ref54">54</xref>]. The protein property of interest can be directly or indirectly measured in the microtiter plate, most commonly via spectrophotometry or fluorometry [<xref ref-type="bibr" rid="scirp.109527-ref53">53</xref>]. With the occurrence of substrate conversion, in microtiter plates a visual signal emerges, such as color or fluorescence, which is used to identify colonies expressing an enzyme with desirable properties [<xref ref-type="bibr" rid="scirp.109527-ref36">36</xref>].</p></sec><sec id="s5_4"><title>5.4. Fluorescence Activated Cell Sorting (FACS) Base Screening</title><p>Fluorescence-activated cell sorting (FACS) is an emerging technology having a powerful tool for screening enzyme libraries due to its high sensitivity and its ability to analyze as many as 10<sup>8</sup> mutants per day [<xref ref-type="bibr" rid="scirp.109527-ref55">55</xref>]. FACS enables the identification of biological activity within a single cell based on cell size, shape, and fluorescence [<xref ref-type="bibr" rid="scirp.109527-ref56">56</xref>]. FACS have many advantages: 1) it deposits single events into a variety of vessels quickly and accurately; 2) the laminar flow fluidics of FACS prevents disruption of cells during sorting and 3) the contamination is limited because of the small volume of each droplet [<xref ref-type="bibr" rid="scirp.109527-ref57">57</xref>]. FACS can easily couple to a number of different high-throughput screening methods due to its powerful cell sorting capacity such as droplet sorting and reporter-based screening [<xref ref-type="bibr" rid="scirp.109527-ref36">36</xref>]. Recently, this system incorporates a laser with multiple wavelength capabilities screen up to 50,000 clones per second, or over one billion clones per day [<xref ref-type="bibr" rid="scirp.109527-ref58">58</xref>].</p></sec><sec id="s5_5"><title>5.5. Microfluidics Based Screening</title><p>Microfluidic base screening platform has equipped with high-throughput screening technology which give an advantage over the other method due to its suitability for cell based assay, low analysis cost, and easy handling pico liter volumes of liquids [<xref ref-type="bibr" rid="scirp.109527-ref59">59</xref>]. The method allows high-throughput screening with rapid analysis of thousands of chemical, biochemical, genetic or pharmacological tests in parallel [<xref ref-type="bibr" rid="scirp.109527-ref60">60</xref>]. Micro droplets are produced in large numbers at speeds of thousands of droplets per second and a single droplet functions as a reaction chamber. Cells, enzyme variants, substrates and products are conﬁned in the picoliter volume of the droplets, where reactions take place [<xref ref-type="bibr" rid="scirp.109527-ref61">61</xref>]. Subsequently, the droplets are sorted according to fluorescence or color of the product. The coupling of microfluidics with FACS results in the ultrahigh-throughput screening of metagenomic libraries. However, the major bottleneck of such technique is the detection method, which is mostly limited to fluorescent signal. In the future, other detection methods, such as mass spectrometry, nuclear magnetic resonance (NMR) and colorimetric assay, may be combined with microfluidic devices to accelerate the discovery of novel biocatalysts or other genes with important functions in the microbiota [<xref ref-type="bibr" rid="scirp.109527-ref36">36</xref>].</p></sec></sec><sec id="s6"><title>6. Functionally Screened Rumen Product</title><p>Rumen associated functionally screened microbiome product and application of highly active enzymes for commercial applications will provide a new dimension in agroindustry’s and also decreasing the methane release into atmosphere [<xref ref-type="bibr" rid="scirp.109527-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref62">62</xref>]. Rumen microorganisms produce a series of enzymes known as carbohydrate active enzymes (CAZymes) that can break down plant cell walls. There are four types of CAZymes that are distinguished based on protein sequence, gene sequence, and structural similarities: glycoside hydrolases (GHs), glycosyltransferases (GTs), polysaccharide lyases (PLs), and carbohydrate esterases (CEs); these CAZymes cooperatively contribute to dietary cellulose, hemicellulose, and pectin deconstruction [<xref ref-type="bibr" rid="scirp.109527-ref63">63</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref64">64</xref>]. Some of the CAZy family such as GH3 (b-glucosidase), CE6 (esterase) from cow and GH (Cellodextrinase) from Buffalo were obtained using functional metagenomics approach [<xref ref-type="bibr" rid="scirp.109527-ref65">65</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref66">66</xref>] [<xref ref-type="bibr" rid="scirp.109527-ref67">67</xref>]. Some of the Author that characterize CAZymes includes Hess et al., [<xref ref-type="bibr" rid="scirp.109527-ref68">68</xref>], identified 27,755 putative cow rumen carbohydrate active genes and expressed 90 candidate proteins, of which (51) 57% were enzymatically active against cellulosic substrates. Cheng et al., [<xref ref-type="bibr" rid="scirp.109527-ref69">69</xref>] functionally screened high temperature resistant and pH tolerance industrial relevance novel esterase and xylanases from cow rumen metagenomics. Zhao et al., [<xref ref-type="bibr" rid="scirp.109527-ref70">70</xref>], screened substrate specific and good thermal stable three lipases derived from dairy rumen microflora. Pope et al., [<xref ref-type="bibr" rid="scirp.109527-ref71">71</xref>] also identified laccase from reindeer rumen by metagenomic approaches which able to degrade lignin. Wichmann et al., [<xref ref-type="bibr" rid="scirp.109527-ref72">72</xref>], identified 80 unique antibiotic enzymes together with a novel clade of chloramphenicol acetyl-transferases from cow manure. Thirabunyanon et al., [<xref ref-type="bibr" rid="scirp.109527-ref73">73</xref>], found a novel probiotics strain of Bacillu subtilis having inhibitory activity against Salmonella enteritidis infection. Some of identified enzymes together with screening method from various reports are given in <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>Advances in functional metagenomics have paved industry with an unprecedented chance to bring biomolecules of metagenomic origin into a commercial success. There are a number of companies involved commercialization of metagenomic research such as Diversa Corp, BASF, DSM, Syngenta, Genencor International, and BRAIN AG have commercialized many biological molecules of commercial interest <xref ref-type="table" rid="table6">Table 6</xref> [<xref ref-type="bibr" rid="scirp.109527-ref74">74</xref>].</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Metagenome studies on rumen enzymes</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >Enzyme/enzyme family</th><th align="center" valign="middle" >Sequencing method</th><th align="center" valign="middle" >Screening method</th></tr></thead><tr><td align="center" valign="middle"  rowspan="8"  >Cow</td><td align="center" valign="middle"  rowspan="2"  >Cyclodextrinases</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Shotgun sequencing</td><td align="center" valign="middle" >sequencing and functional screening</td></tr><tr><td align="center" valign="middle" >Endoglucanase</td><td align="center" valign="middle" >Pyrosequencing 454 GS FLX</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >α-Glucuronidase</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Glycoside hydrolases</td><td align="center" valign="middle" >Sanger sequencing</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Carbohydrate active enzymes</td><td align="center" valign="middle" >Pyrosequencing</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Mannanase-xylanase glucanase</td><td align="center" valign="middle" >Sanger sequencing</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Lipases</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Function and sequence based</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Bovine</td><td align="center" valign="middle" >Endoglucanase</td><td align="center" valign="middle" >Sanger sequencing</td><td align="center" valign="middle" >Function based (BAC vector)</td></tr><tr><td align="center" valign="middle" >Endoglucanase</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based (fosmid vector)</td></tr><tr><td align="center" valign="middle" >Glycoside hydrolases</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Glycoside hydrolases</td><td align="center" valign="middle" >Pyrosequencing 454 GS FLX</td><td align="center" valign="middle" >Sequence based</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Swamp Buffalo</td><td align="center" valign="middle" >Endoglucanase</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Carbohydrate active enzymes</td><td align="center" valign="middle" >Ion torrent PGM next-generation sequencing</td><td align="center" valign="middle" >Sequence based</td></tr><tr><td align="center" valign="middle" >Yak</td><td align="center" valign="middle" >Glycoside hydrolases</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr><tr><td align="center" valign="middle" >Sheep</td><td align="center" valign="middle" >Xylanase</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based (fosmid vector)</td></tr><tr><td align="center" valign="middle" >Goat</td><td align="center" valign="middle" >Endoglucanase</td><td align="center" valign="middle" >Shot gun sequencing</td><td align="center" valign="middle" >Sequence based</td></tr><tr><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Feruloyl esterase</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >Function based</td></tr></tbody></table></table-wrap><p>Source: [<xref ref-type="bibr" rid="scirp.109527-ref4">4</xref>].</p><table-wrap-group id="6"><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Commercialization of metagenomics technologies</title></caption><table-wrap id="6_1"><table><tbody><thead><tr><th align="center" valign="middle" >Company</th><th align="center" valign="middle" >Target products</th><th align="center" valign="middle" >Classes</th><th align="center" valign="middle" >Products and market</th><th align="center" valign="middle" >Commercial interest</th></tr></thead><tr><td align="center" valign="middle" >BASF http://www.corporate.basf.com/</td><td align="center" valign="middle" >Enzymes</td><td align="center" valign="middle" >Amylase Hydratase</td><td align="center" valign="middle" >Acidophilic gluco amylase</td><td align="center" valign="middle" >Food industry, aiding with the digestion of starch</td></tr><tr><td align="center" valign="middle" >Bioresearch Italia, SpA (Italy)</td><td align="center" valign="middle" >Anti-infectives</td><td align="center" valign="middle" >Vancomycin</td><td align="center" valign="middle" >Dalbavancin</td><td align="center" valign="middle" >Development of human gene targeted therapeutics and novel anti-infective</td></tr><tr><td align="center" valign="middle" >B.R.A.I.N http://www.brain-biotech.de/</td><td align="center" valign="middle" >Bioactive peptides and enzymes for pharmaceuticals and agrochemicals</td><td align="center" valign="middle" >N.D.</td><td align="center" valign="middle" >Nitrile hydratases Cellulases</td><td align="center" valign="middle" >Degussa AG Partnership for the industrial processe</td></tr><tr><td align="center" valign="middle" >Cubist pharmaceuticals https://www.merck.com/</td><td align="center" valign="middle" >Anti-infectives</td><td align="center" valign="middle" >N.D.</td><td align="center" valign="middle" >N.D.</td><td align="center" valign="middle" >Various commercial relationships. Variety of products in Stage I, II and III trials</td></tr><tr><td align="center" valign="middle" >Diversa http://www.diversa.com/</td><td align="center" valign="middle" >Enzymes</td><td align="center" valign="middle" >Nitrilase Glycosidase Phytase</td><td align="center" valign="middle" >Discovery of 100 novel nitrilases Production of Lipitor Pyrolasee 160 and Pyrolasee 200; Phyzymee XP</td><td align="center" valign="middle" >Drug, lowering cholesterol levels Broad spectrum b-mannanase and b-glucanase added to animal feed to break down indigestible phytate in grains and oil s eeds to release digestible</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Biometabolites</td><td align="center" valign="middle" >Fluorescent protein</td><td align="center" valign="middle" >Discovery Pointe Green-F P* and Cyan-FP*</td><td align="center" valign="middle" >Novel green and cyan flu orescent proteins for potential u se in drug discovery, ommercial screening and academic research</td></tr><tr><td align="center" valign="middle" >Diversa and Invitrogen https://www.thermofisher.cn/cn/zh/home.html</td><td align="center" valign="middle" >Enzymes</td><td align="center" valign="middle" >DNA polymerase</td><td align="center" valign="middle" >hermal Acee and Replicasee DNA for research and diagnostics</td><td align="center" valign="middle" >Research and diagnostics</td></tr><tr><td align="center" valign="middle" >EMetagen</td><td align="center" valign="middle" >Enzymes; antibiotics; small active molecules</td><td align="center" valign="middle" >Polyketides</td><td align="center" valign="middle" >eMetagen Gene and Pathway Banks eLarge clone DNA libraries encoding biosynthetic pathways for 5000 to 20,000 secondary metabolites</td><td align="center" valign="middle" >Food, agriculture, research and other commercial applications Pharmaceuticals: antimicrobial, anticancer and other bioactive properties</td></tr><tr><td align="center" valign="middle" >Kosan Technology http://www.kosan.com/</td><td align="center" valign="middle" >Antibioti cs</td><td align="center" valign="middle" >Polyketides</td><td align="center" valign="middle" >Adriamycin, Erythromycin, Meva-cor, Rapamycin, Tacrolimus (FK506), Tetracycl ine, Rapamyc in,</td><td align="center" valign="middle" >Therapeutic drugs</td></tr><tr><td align="center" valign="middle" >Genencor http://www.genencor.com/</td><td align="center" valign="middle" >Enzymes</td><td align="center" valign="middle" >Lipase, Protease</td><td align="center" valign="middle" >Washing powder and alkaline tolerant protease.</td><td align="center" valign="middle" >Cleaning industry</td></tr><tr><td align="center" valign="middle" >Libragen http://www.libragen.com/</td><td align="center" valign="middle" >Antibiotics and biocatalysis for pharmace uticals</td><td align="center" valign="middle" >N.D.</td><td align="center" valign="middle" >Anti-infective and antibiotic discovery Biocatalysis discovery for pharmaceuticals (partnership with Synkem)</td><td align="center" valign="middle" >Medicine; synthesis of pharmaceuticals</td></tr><tr><td align="center" valign="middle" >Prokaria http://www.prokaria.is/</td><td align="center" valign="middle" >Enzymes</td><td align="center" valign="middle" >Rhamnosidase b-1,6 Gluconase; Single stranded DNA ligase</td><td align="center" valign="middle" >Food and agricultural industry</td><td align="center" valign="middle" >Food industry</td></tr></tbody></table></table-wrap><table-wrap id="6_2"><table><tbody><thead><tr><th align="center" valign="middle" >Proteus http://www.proteus.fr/</th><th align="center" valign="middle" >Enzymes; anti-biotics; antigens</th><th align="center" valign="middle" >Not specified</th><th align="center" valign="middle" >Research and diagnostics Products for the agricultural, environmental, food, medical and chemical industries</th><th align="center" valign="middle" >Anti-phytopathogenic fungal agent Development of novel biomolecules</th></tr></thead><tr><td align="center" valign="middle" >Xanagen http://www.xanagen.com/</td><td align="center" valign="middle" >Libraries</td><td align="center" valign="middle" >Gene products</td><td align="center" valign="middle" >Unspecified</td><td align="center" valign="middle" >Services in library construction, screening and annotation</td></tr></tbody></table></table-wrap></table-wrap-group><p>N.D. no details available or products still under development. Source: [<xref ref-type="bibr" rid="scirp.109527-ref74">74</xref>].</p><p>Currently, the major laboratories working in the area of rumen metagenomics include DOE Joint Genome Institute-Genome Technology, USA; USDA, USA; INRA, France; CSIRO, Australia; and AgResearch, New Zealand, and Agricultural University India [<xref ref-type="bibr" rid="scirp.109527-ref4">4</xref>].</p></sec><sec id="s7"><title>7. Conclusion</title><p>Functional metagenomics screening technology is the powerful tool of future research arena with a potential of mining environmentally as well as commercially important biocatalyst. Rumen sample collection, DNA library construction and screening of the clone are the standard procedure for rumen functional metagenomics work. Screening technology ranges from the old technique such as Agar plate to high throughput advanced technology such as mass spectrometry, nuclear magnetic resonance (NMR) and colorimetric assay. The four rumen environment origin enzymes (CAZymes) have a significant contribution to agro industry and pharmaceutical Company.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare that there are no conflicts of interest.</p></sec><sec id="s9"><title>Cite this paper</title><p>Bekele, W., Zegeye, A., Simachew, A., &amp; Assefa, G. (2021) Functional Metagenomics from the Rumen Environment—A Review. Advances in Bioscience and Biotechnology, 12, 125-141. https://doi.org/10.4236/abb.2021.125009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.109527-ref1"><label>1</label><mixed-citation publication-type="book" xlink:type="simple">Agarwal, N., Kamara, D.N. and Chaudhary, L.C. (2015) Rumen Microbial Ecosystem of Domesticated Ruminants. In: Puniya, A., Singh, R. and Kamra, D., Eds., Rumen Microbiology: From Evolution to Revolution, Springer, New Delhi, 17-30.  
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