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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2021.791723</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Tapping the Role of Microbial Biosurfactants in Pesticide Remediation: An Eco-Friendly Approach for Environmental Sustainability</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Raj</surname> <given-names>Aman</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1511313/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kumar</surname> <given-names>Ashwani</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/47436/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dames</surname> <given-names>Joanna Felicity</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Metagenomics and Secretomics Research Laboratory, Department of Botany, Dr. Harisingh Gour University (Central University)</institution>, <addr-line>Sagar</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Mycorrhizal Research Laboratory, Department of Biochemistry and Microbiology, Rhodes University</institution>, <addr-line>Grahamstown</addr-line>, <country>South Africa</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Shashi Kant Bhatia, Konkuk University, South Korea</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Pankaj Chowdhary, Indian Institute of Toxicology Research (CSIR), India; Jay Shankar Singh, Babasaheb Bhimrao Ambedkar University, India; Abhishek Sharma, Institute of Microbial Technology (CSIR), India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ashwani Kumar, <email>ashwaniiitd@hotmail.com</email>; <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-8453-3183">orcid.org/0000-0002-8453-3183</ext-link></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Microbiotechnology, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>791723</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Raj, Kumar and Dames.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Raj, Kumar and Dames</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Pesticides are used indiscriminately all over the world to protect crops from pests and pathogens. If they are used in excess, they contaminate the soil and water bodies and negatively affect human health and the environment. However, bioremediation is the most viable option to deal with these pollutants, but it has certain limitations. Therefore, harnessing the role of microbial biosurfactants in pesticide remediation is a promising approach. Biosurfactants are the amphiphilic compounds that can help to increase the bioavailability of pesticides, and speeds up the bioremediation process. Biosurfactants lower the surface area and interfacial tension of immiscible fluids and boost the solubility and sorption of hydrophobic pesticide contaminants. They have the property of biodegradability, low toxicity, high selectivity, and broad action spectrum under extreme pH, temperature, and salinity conditions, as well as a low critical micelle concentration (CMC). All these factors can augment the process of pesticide remediation. Application of metagenomic and <italic>in-silico</italic> tools would help by rapidly characterizing pesticide degrading microorganisms at a taxonomic and functional level. A comprehensive review of the literature shows that the role of biosurfactants in the biological remediation of pesticides has received limited attention. Therefore, this article is intended to provide a detailed overview of the role of various biosurfactants in improving pesticide remediation as well as different methods used for the detection of microbial biosurfactants. Additionally, this article covers the role of advanced metagenomics tools in characterizing the biosurfactant producing pesticide degrading microbes from different environments.</p>
</abstract>
<kwd-group>
<kwd>pesticides</kwd>
<kwd>bioremediation</kwd>
<kwd>biosurfactants</kwd>
<kwd>hydrophobic</kwd>
<kwd>amphiphilic</kwd>
<kwd>metagenomics</kwd>
</kwd-group>
<contract-sponsor id="cn001">Rhodes University<named-content content-type="fundref-id">10.13039/501100001333</named-content></contract-sponsor>
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<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="220"/>
<page-count count="21"/>
<word-count count="15129"/>
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</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>Soil pollution and land degradation are global problems originating from anthropological and natural sources (<xref ref-type="bibr" rid="B113">Malla et al., 2018</xref>). Urbanization and industrialization are the major sources of anthropological pollution while the use of chemical agents over the year for increasing crop production has led to the spread and accumulation of pollutants in the environment (<xref ref-type="bibr" rid="B143">Prihandiani et al., 2021</xref>). The most common contaminants in the soil are heavy metals, polycyclic aromatic hydrocarbons (PAHs), or pesticides. Pesticides are the chemical compounds used to kill unwanted pests such as bugs, flies, rodents, nematodes, fungal pathogens, and unwanted herbs to maintain plant health and increase agricultural production on limited land. Pesticides play an essential part in fulfilling the world food demand, though they are very hazardous, persistent, recalcitrant, and have extended half-life properties (<xref ref-type="bibr" rid="B208">Wattanaphon et al., 2008</xref>; <xref ref-type="bibr" rid="B36">Damalas and Eleftherohorinos, 2011</xref>; <xref ref-type="bibr" rid="B131">Odukkathil and Vasudevan, 2016</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>). The most common pesticides used in India and the other countries are organophosphates like chlorpyrifos, profenofos, and glyphosate, with a few being organochlorine i.e., mirex, lindane, and chlordane (<xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>). These organophosphorus and organochlorine pesticides are not target-specific and have high biological stability in the soil and water bodies, polluting the ecosystem and making it pestilent for humans and other organisms such as pollinators, cattle, microbes, and aquatic organisms (<xref ref-type="bibr" rid="B62">Gennari et al., 2009</xref>; <xref ref-type="bibr" rid="B164">Sequinatto et al., 2013</xref>). Most organophosphate pesticides are classified as class II carcinogens with mutagenic, teratogenic, and carcinogenic effects on humans and other organisms (<xref ref-type="bibr" rid="B21">Bhatt et al., 2021a</xref>).</p>
<p>Looking at the grave danger of these toxic pollutants, there is an urgent need to deal with the harmful impacts of these toxic pesticides. Most physical and chemical pesticide removal methods have been in use for a long time. These methods include aeration, oxidation, excavation, incineration, landfilling, and storage, etc., which is labor-intensive, time-consuming, inefficient, and are not considered a sustainable method of remediation because they result in the generation of several secondary pollutants (<xref ref-type="bibr" rid="B216">Yoshikawa et al., 2017</xref>; <xref ref-type="bibr" rid="B21">Bhatt et al., 2021a</xref>). As a result, the implementation of bioremediation appears as the only answer to the issue mentioned above since it uses the ability of live indigenous microorganisms to clean the polluted site (<xref ref-type="bibr" rid="B176">Singh et al., 2011</xref>). Researchers worldwide are now trying to create the most cost-effective and long-term sustainable method for pesticide bioremediation. Microbial biosurfactant-based remediation is a natural, cost-effective, and environmental friendly method of on-site degradation of pesticides and other xenobiotics in which biosurfactants make pesticides bioavailable and microbes use them as a source of carbon, nitrogen, and phosphorous (<xref ref-type="bibr" rid="B3">Abouseoud et al., 2008</xref>; <xref ref-type="bibr" rid="B108">Luna et al., 2013</xref>; <xref ref-type="bibr" rid="B30">Chapr&#x00E3;o et al., 2015</xref>; <xref ref-type="bibr" rid="B131">Odukkathil and Vasudevan, 2016</xref>; <xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>).</p>
<p>Biosurfactants are secondary metabolites produced by microorganisms used in many commercial applications due to their low toxicity, substantial biodegradability, and environmentally benign nature (<xref ref-type="bibr" rid="B193">Thavasi et al., 2011</xref>; <xref ref-type="bibr" rid="B30">Chapr&#x00E3;o et al., 2015</xref>; <xref ref-type="bibr" rid="B80">Javee et al., 2020</xref>). Biosurfactants consist of both hydrophilic and hydrophobic regions that are formed from amino acids, as well as saturated and unsaturated fatty acids, respectively (<xref ref-type="bibr" rid="B169">Sharma et al., 2015</xref>; <xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>), which enables a reduction in surface tension and reaching out between two solvate molecules, thus accelerates the solvation of hydrophobic molecules in aqueous media for emulsion formation (<xref ref-type="bibr" rid="B17">Banat, 1995</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>). It has been observed that hydrocarbon-contaminated areas are the best places to isolate biosurfactant-producing microorganisms to improve pesticide remediation (<xref ref-type="bibr" rid="B180">Singh et al., 2016</xref>; <xref ref-type="bibr" rid="B190">Tan and Li, 2018</xref>; <xref ref-type="bibr" rid="B21">Bhatt et al., 2021a</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>). <xref ref-type="fig" rid="F1">Figure 1</xref> depicted the entry of pesticides into the food chain and the fate of pesticides and presented the mechanism of biosurfactant mediated pesticides degradation. Several published reports are available wherein biosurfactant producing potential of microbes have been utilized for bioremediation of pesticides.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>(A)</bold> Shows the pesticide application in the field and its fate in the environment leading to contamination of air, water, and soil along with screening and isolation of microbes residing at the contaminated site for biosurfactant production <bold>(B)</bold> presented the mechanism of biosurfactant mediated pesticides degradation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g001.tif"/>
</fig>
<p>Although most of the studies on bioremediation are done using single microbes (particularly culturable ones). Several reports suggest the microbial consortia enhances the remediation process compared to a single isolate (<xref ref-type="bibr" rid="B135">Pacwa-P&#x0142;ociniczak et al., 2011</xref>; <xref ref-type="bibr" rid="B147">Rasheed et al., 2020</xref>; <xref ref-type="bibr" rid="B110">Madamwar et al., 2021</xref>). While in several cases, the role of unculturable microbes is often ignored, and the underlying mechanism of microbes-mediated pesticides degradation is still unexplored (<xref ref-type="bibr" rid="B177">Singh and Gupta, 2018</xref>; <xref ref-type="bibr" rid="B179">Singh et al., 2019</xref>). The use of metagenomics to understand the underlying mechanisms of biodegradation in <italic>in-situ</italic> and to forecast degradation potential has yet to be studied. So, there is a lack of information about microbes&#x2019; functional genes and genetic potential and their products like biosurfactants involved in degradation (<xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>; <xref ref-type="bibr" rid="B54">Femina Carolin et al., 2020</xref>). Against this background, this article aims to give a comprehensive overview of the function of microbial biosurfactants in the remediation of pesticides. We also briefly addressed how improved metagenomics techniques might assist clean-up by providing access to uncultivable microbial species.</p>
</sec>
<sec id="S2">
<title>Emerging Pesticide Pollution: A Global Concern</title>
<p>The tremendous demand to produce food at reasonable prices has forced farmers/growers to use chemical fertilizers and pesticides (<xref ref-type="bibr" rid="B155">Sarath Chandran et al., 2019</xref>). Organochlorine pesticides such as DDT (dichlorodiphenyltrichloroethane) and Gammaxene were used extensively during the second world war, but they proved to be an ecological disaster for the world and was banned by the United States in 1972 due to their toxic effects on the peripheral nervous system and its non-biodegradable nature. Several developed and developing nations banned the use of most organochlorine pesticides, including DDT (<xref ref-type="bibr" rid="B115">Mansouri et al., 2017</xref>; <xref ref-type="bibr" rid="B140">Peng et al., 2020</xref>). This led to increased demand for organophosphate pesticides such as malathion, parathion, monocrotophos, etc., due to their wide action spectrum and moderate toxicity (<xref ref-type="bibr" rid="B125">Narenderan et al., 2020</xref>; <xref ref-type="bibr" rid="B138">Parks et al., 2021</xref>). However, feeding the exponentially growing population on declining land area forced farmers to use these pesticides more than the recommended dose i.e., 1 U.S liquid pints per acre of land or 0.473 liters per acre of land area (<xref ref-type="bibr" rid="B192">Tchounwou et al., 2015</xref>; As per <xref ref-type="bibr" rid="B201">U.S. Environmental Protection Agency | US EPA, 2021</xref>). Insecticides, herbicides, rodenticides, and fungicides are among the most regularly used pesticides (<xref ref-type="bibr" rid="B113">Malla et al., 2018</xref>) and were used excessively during the green revolution to increase productivity and reduce crop loss (<xref ref-type="bibr" rid="B155">Sarath Chandran et al., 2019</xref>). Pesticide use is rising and negatively influencing the environment, particularly the soil quality and health (<xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>), as only 1% of sprayed pesticides kill target species; the rest pollute the ecosystem by interacting with soil and generating more complex metabolites. For example, chlorpyrifos produces 3,5,6-trichloro-2-pyridinon (TCP), an antimicrobial metabolite that kills beneficial soil microorganisms and due to its eco-toxicity, the United nation banned this pesticide in the year 2020. However, chlorpyrifos is extensively used in developing countries like India, Bangladesh, and Pakistan (<xref ref-type="bibr" rid="B84">John and Shaike, 2015</xref>; <xref ref-type="bibr" rid="B165">Shabbir et al., 2018</xref>; <xref ref-type="bibr" rid="B85">Kalyani et al., 2021</xref>). Pesticides strongly adsorb the soil&#x2019;s organic matter, which restricts its desorption. Most of the pesticides are non-polar compounds having hydrophobic properties and are insoluble in water (<xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>; <xref ref-type="bibr" rid="B85">Kalyani et al., 2021</xref>). Pesticides are highly recalcitrant on exposure to humans; they lead to several disorders related to the central nervous system as most of these chemicals inhibit acetylcholinesterase receptor activity, causing nerve damage. Apart from it, inhalation of pesticides leads to several respiratory disorders and these chemicals also have mutagenic and carcinogenic potential causing disorders related to fertility, excretory system, skin, and eye defects (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="bibr" rid="B57">Foong et al., 2020</xref>; <xref ref-type="bibr" rid="B64">Giri et al., 2020</xref>). According to reports on poisoning and the impact of synthetic chemicals on human health, numerous cases of intoxication of farmers, rural workers, and their families have occurred during pesticide applications. Unintentional poisonings kill an estimated 3,55,000 people annually and are related to excessive exposure and improper use of hazardous substances (<xref ref-type="bibr" rid="B127">Nayak et al., 2020</xref>).</p>
<sec id="S2.SS1">
<title>Pesticide Defilement Status: Indian Context</title>
<p>Agriculture and allied sectors provide a living for most of India&#x2019;s population (57%) (<xref ref-type="bibr" rid="B72">Hobbs et al., 2009</xref>). India stands second in pesticide consumption (0.29 kg/ha) among all Asian continents (<xref ref-type="bibr" rid="B168">Sharma et al., 2020</xref>; <xref ref-type="bibr" rid="B53">FAOSTAT, 2021</xref>). Crop production in India fell short of the country&#x2019;s demand in the post-independent period (<xref ref-type="bibr" rid="B161">Sebby, 2010</xref>). The implementation of the green revolution revolutionized India&#x2019;s conventional comestible farming into capital intensive, modernized, surplus-producing agriculture, resulting in a 10-fold increase in overall food grains production between 1960 and 2000 (<xref ref-type="bibr" rid="B40">Davies, 2003</xref>; <xref ref-type="bibr" rid="B86">Kannuri and Jadhav, 2018</xref>). High yielding varieties (HYVs) were deployed as a part of the green revolution and these HYVs relied on enormous amounts of nitrogenous fertilizers to provide the desired crop outputs to feed the ever-expanding India&#x2019;s population (<xref ref-type="bibr" rid="B86">Kannuri and Jadhav, 2018</xref>; <xref ref-type="bibr" rid="B167">Sharma et al., 2019</xref>; <xref ref-type="bibr" rid="B120">Mishra et al., 2020</xref>). Narrow heritable traits of high yielding varieties of rice and wheat, as well as monocropping and tropical Indian climate, resulted in significant susceptibility to pests and diseases, but persistent pesticide application resulted in pest resistance. This lead to an over-reliance on pesticides to reduce crop loss, leading to a dramatic increase in pesticide use in India i.e., from 154 metric tons in 1954 to 88,000 metric tons in 2000, a 570 per cent higher in less than a half-century (<xref ref-type="bibr" rid="B99">Kumar et al., 2016</xref>; <xref ref-type="bibr" rid="B24">Bonvoisin et al., 2020</xref>). However, strict action was taken by the Indian government lead to a decline in pesticide consumption by the year 2015&#x2013;16 to about 58,634 metric tons from 88,000 metric tons in 2000, but this figure is steadily increasing and has reached about 62,193 metric tons in the year 2020&#x2013;21 (<xref ref-type="fig" rid="F2">Figure 2</xref>) which is a real cause of concern (<xref ref-type="bibr" rid="B67">Gunnell and Eddleston, 2003</xref>; <italic>Statistical Database | Directorate of Plant Protection, Quarantine, and Storage |</italic> <xref ref-type="bibr" rid="B65">GOI, 2021</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Pesticide use in India (2020&#x2013;21), [Unit: Metric tons (M.T)]. Pie-chart representing the average usage of pesticide by different Indian states in the year 2020&#x2013;21. Highest usage among the states for which the pie-chart is made has been noted for Maharashtra with average usage of 13,243 M.T. while lowest for Andaman and Nicobar island with 1 M.T. Data were taken from statistical database of government of India, directorate of plant protection, quarantine and storage (<italic>Statistical Database | Directorate of Plant Protection, Quarantine and Storage |</italic> <xref ref-type="bibr" rid="B65">GOI, 2021</xref>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g002.tif"/>
</fig>
<p>An investigation carried out by a group of researchers on the Thamirabarani river system of southern India reported the bioaccumulation of organochlorine pesticides such as aldrin, dieldrin, endosulfan, endrin, and heptachlor in surface water, sediments and fishes and other aquatic flora and fauna. Organochlorines were detected with the help of GC-MS following QuEChERS protocol extraction and were in a concentration ranging from 0.001 to 34.44 &#x03BC;g/l<sup>&#x2013;1</sup> in surface waters to as high as 40.46&#x2013;65.14 &#x03BC;g kg<sup>&#x2013;1</sup> in different organs of fishes (<xref ref-type="bibr" rid="B12">Arisekar et al., 2018</xref>). Not only vegetables or crop plants are detected with pesticide residues. Even milk samples have been detected with traces of pesticides such as DDT, HCH, endosulfan, and pyrethroids in the Kolkata and Nadia region of West Bengal, India (<xref ref-type="bibr" rid="B99">Kumar et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Anand et al., 2021</xref>; <xref ref-type="bibr" rid="B148">Ravula and Yenugu, 2021</xref>).</p>
<p>The Punjab region of India is highly affected by pesticide poisoning (<xref ref-type="fig" rid="F2">Figure 2</xref>). In a study, out of 111 samples of human blood, 35% of the samples were detected with traces of pesticides like DDT, HCH, profenofos, monocrotophos etc. some samples were detected with a high level of 34.90 ng ml<sup>&#x2013;1</sup> (<xref ref-type="bibr" rid="B168">Sharma et al., 2020</xref>). Looking at the pesticide contamination status in India, there is an urgent need to develop techniques to deal with these toxic pollutants. Microbial biosurfactant based bioremediation seems to be the most sustainable way to eliminate these toxic compounds from soil and water bodies and to regain soil health.</p>
</sec>
</sec>
<sec id="S3">
<title>Biosurfactants: The Next Age Compounds in Pesticide Remediation and Their Types</title>
<p>Biosurfactants which are surface-active molecules produced naturally by microbial metabolism have gained popularity in recent times. In recent years, there has been a steady increase in the number of research papers focused on the isolation, characterization, and optimization of biosurfactants producing microbes (<xref ref-type="bibr" rid="B38">Das and Kumar, 2018</xref>; <xref ref-type="bibr" rid="B132">Olasanmi and Thring, 2018</xref>; <xref ref-type="bibr" rid="B91">Khanna and Pattnaik, 2019</xref>; <xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). Biosurfactants are the type of &#x201C;glycoconjugates (combination of glycoprotein and glycolipids),&#x201D; and the study of its structure, function, and interaction with the living system is called &#x201C;glycobiotechnology&#x201D; (<xref ref-type="bibr" rid="B119">Messner et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Enaime et al., 2019</xref>). Microbes produce some extracellular biosurfactants such as rhamnolipids, sophorolipids and exopeptidases, and glycol-lipopeptides. A wide variety of anionic and non-ionic synthetic surfactants (Triton X-100, tween-80, tergitol NP10, brij35, sodium dodecyl sulfate etc.) are in use for a long time to accelerate microbial activity whether in the area of xenobiotic remediation or biofuel production (<xref ref-type="bibr" rid="B35">da Rocha et al., 2010</xref>).</p>
<p>Furthermore, they are extensively used by pesticide industries as an emulsifiable concentrate in the pesticide formulation. However, synthetic surfactants are highly toxic, non-biodegradable, have low selectivity, high CMC value, and show antimicrobial activity (<xref ref-type="bibr" rid="B27">Bustamante et al., 2012</xref>; <xref ref-type="bibr" rid="B214">Ya&#x00F1;ez-Ocampo et al., 2017</xref>). Therefore, another reason for the popularity of biosurfactants is their advantages over their chemically manufactured counterparts, such as having a simpler structure than the synthetic equivalents, being environmentally friendly, and lesser toxicity (<xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). On the other hand, biosurfactants can survive up to 10% salinity, but synthetic surfactants cannot. Other than their essential role in pesticide remediation (<xref ref-type="bibr" rid="B190">Tan and Li, 2018</xref>), they are also used in various commercial products, including medications, cosmetics, cleaning agents, and the food sector (<xref ref-type="bibr" rid="B154">Santos et al., 2016</xref>).</p>
<p>Most microbes produced biosurfactants on their cell surface (amphiphilic molecules) as secondary metabolites at their stationary phase of growth (<xref ref-type="bibr" rid="B185">Sober&#x00F3;n-Ch&#x00E1;vez et al., 2005</xref>; <xref ref-type="bibr" rid="B122">Moya Ram&#x00ED;rez et al., 2015</xref>). These biosurfactants include glycoproteins, glycolipids, glycopeptides, glycosides, peptidoglycan, and lipopolysaccharides, which are the diverse forms of glycoconjugate-based biosurfactants (<xref ref-type="bibr" rid="B205">Varjani and Upasani, 2016</xref>; <xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). One of the distinguishing features of biosurfactants is the hydrophilic-lipophilic balance (HLB), which determines the proportion of hydrophilic and hydrophobic elements in surface-active substances (<xref ref-type="bibr" rid="B135">Pacwa-P&#x0142;ociniczak et al., 2011</xref>). Biosurfactant activities are dependent on the concentration of surface-active molecules till the critical micelle concentration (CMC) is attained. Biosurfactant compounds form micelles, bilayers and vesicles at a concentration above CMC (<xref ref-type="bibr" rid="B147">Rasheed et al., 2020</xref>) and these micelles can reduce surface and interfacial tension and increase the solubility and bioavailability of hydrophobic pesticide molecules (<xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). Surfactant efficiency is frequently measured using the CMC, as efficient biosurfactants have a low CMC, and require less biosurfactant to reduce surface tension (<xref ref-type="bibr" rid="B135">Pacwa-P&#x0142;ociniczak et al., 2011</xref>; <xref ref-type="bibr" rid="B21">Bhatt et al., 2021a</xref>,<xref ref-type="bibr" rid="B22">b</xref>). Micro-organisms may synthesize biosurfactants from various carbon sources, but <italic>Glycine max</italic>, <italic>Zea mays, Brassica napus</italic>, and <italic>Olea europaea</italic> can be employed to increase output (<xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). Many researchers have tried producing biosurfactants from unconventional and agricultural-based raw materials; however, this approach has not yet been commercialized. These lipopeptides may be made from low-cost raw materials such as <italic>Saccharum officinarum</italic>, <italic>Zea mays</italic>, molasses, agricultural wastes, and others that are easily accessible in large numbers to be cost-effective (<xref ref-type="bibr" rid="B71">Hippolyte et al., 2018</xref>; <xref ref-type="bibr" rid="B47">Dom&#x00ED;nguez Rivera et al., 2019</xref>; <xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). The structure and composition of the biosurfactant molecule and the role of biosurfactants in pesticide remediation is shown in <xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Structure of biosurfactant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><italic>In-vitro</italic> isolation of biosurfactant and its application at pesticide-contaminated sites. Further steps indicate the adsorption of biosurfactant with the soil-pesticide complex leading to desorption of pesticides from the soil particles. Microbial surfactants precipitate from the pesticide-biosurfactant complex, making pesticides bioavailable for the microbes for their further degradation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g004.tif"/>
</fig>
<sec id="S3.SS1">
<title>Types of Biosurfactants</title>
<p>The majority of biosurfactant is either neutral or anionic while cationic biosurfactants are possessing amine groups. Long-chain fatty acids make up the hydrophilic moiety, which can be any amino acid, glycogen, cyclic peptide, alcohol, or phosphate carboxyl acid, whereas monosaccharides, proteins, polysaccharides, or peptides make up a hydrophobic portion of the biosurfactant (<xref ref-type="bibr" rid="B153">Saharan et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Bhati et al., 2019</xref>). Biosurfactants typically have a molar mass of 500&#x2013;1,500 Dalton (<xref ref-type="bibr" rid="B6">Akbari et al., 2018</xref>). These are generally classified as per their chemical structure and microbiological derivation and are as follows:</p>
<p>The bulk of biosurfactants are glycolipids, carbohydrates with an ester group that connects them to long-chained aliphatic acids or hydroxyl aliphatic acids. Rhamnolipids, trehalolipids, and sophorolipids are well-known glycolipids (<xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). Apart from glycolipids, lipopeptides, phospholipids, fatty acids, polymeric, and particulate biosurfactants are the other common types (<xref ref-type="bibr" rid="B121">Mnif and Ghribi, 2016</xref>; <xref ref-type="bibr" rid="B87">Kapoor et al., 2019</xref>). <xref ref-type="fig" rid="F3">Figure 3</xref> shows the structure and composition of the biosurfactant molecule.</p>
<p><bold>Rhamnolipid</bold> consists of one or two rhamnose molecules linked to one or two hydroxyl decanoic acid molecules (<xref ref-type="bibr" rid="B44">de Oliveira Schmidt et al., 2021</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>). <italic>Pseudomonas aeruginosa</italic> is said to produce the most rhamnolipids of any known microbial species, followed by <italic>Burkholderia</italic> species (<xref ref-type="bibr" rid="B31">Chong and Li, 2017</xref>; <xref ref-type="bibr" rid="B146">Ramirez et al., 2020</xref>). Recently, <italic>Marinobacter</italic> species and <italic>Pseudomonas mendocina</italic> have been isolated from the marine environment and are an excellent producer of rhamnolipid (<xref ref-type="bibr" rid="B197">Tripathi et al., 2019</xref>; <xref ref-type="bibr" rid="B200">Twigg et al., 2019</xref>). <bold>Trehalolipids</bold> are extensively produced by <italic>Rhodococcus, Mycobacterium, Nocardia</italic>, and <italic>Corynebacterium</italic> species (<xref ref-type="bibr" rid="B210">Williams and Trindade, 2017</xref>; <xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). <italic>Arthrobacter</italic> species and <italic>Rhodococcus erythropolis</italic> are reported to produce trehalolipids that are non-toxic, versatile, and can reduce surface and interfacial tension in the culture broth. Trehalose lipids have been found to have enhanced surfactant activity in various situations and have been studied extensively (<xref ref-type="bibr" rid="B210">Williams and Trindade, 2017</xref>; <xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). <bold>Sophorolipids</bold> are produced by non-pathogenic yeast species and are produced in large quantities (400 g L<sup>&#x2013;1</sup>). These are made up of the glycosidic connection between sophorose, a dimer form of glycogen joined by &#x03B2;-1,2 linkage and a long-chain hydroxy fatty acid (<xref ref-type="fig" rid="F3">Figure 3</xref>). Many applications prefer the lactone form of sophorolipids, which comprises at least 6&#x2013;9 different hydrophobic sophorolipids. <italic>Candida bombicola, Pseudomonas aeruginosa</italic> M408, and <italic>Starmerella bombicola</italic> are well-known sophorolipid producers (<xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). <bold>Lipopeptides</bold> are polypeptide chains with varying lengths of &#x03B2;-hydroxy fatty acid and non-polar tails connected to them. <italic>Bacillus</italic> and <italic>Pseudomonas</italic> species are the most investigated lipopeptide producers, while <italic>Bacillus subtilis</italic> produces surfactin (<xref ref-type="bibr" rid="B79">Janek et al., 2021</xref>), the most potent lipopeptide known (<xref ref-type="bibr" rid="B96">Kumar et al., 2021a</xref>). Lipopeptides are the type of natural product produced by non-ribosomal peptide synthases (NRPS) (<xref ref-type="bibr" rid="B43">De Giani et al., 2021</xref>), which are huge multifunctional enzyme clusters (<xref ref-type="bibr" rid="B210">Williams and Trindade, 2017</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref>). <bold>Surfactin</bold> is considered one of the most potent biosurfactants (<xref ref-type="bibr" rid="B117">Meena et al., 2021</xref>) composed of cyclic lipopeptides with seven amino acid ringed structures linked to a fatty acid chain through lactone linkage (<xref ref-type="fig" rid="F3">Figure 3</xref>; <xref ref-type="bibr" rid="B133">Onaizi, 2018</xref>; <xref ref-type="bibr" rid="B156">Sarwar et al., 2018</xref>). <xref ref-type="table" rid="T1">Table 1</xref> summarizes the type of biosurfactant as well as the microbes that produce them and their roles in pesticide remediation. Fatty acids, Phospholipids, and Neutral lipids may be formed by a diverse group of microbial species that grow on various substrates, including n-alkanes (<xref ref-type="bibr" rid="B204">Varjani et al., 2021</xref>). <italic>Thiobacillus thioxidans</italic> is a well-known producer of phospholipids and has been reported to reduce sulfur elements from the soil. <italic>Corynebacterium lepus</italic> produces corynomycolic acid, which helps lower surface and interfacial tension at varied pH (<xref ref-type="bibr" rid="B93">Kosaric et al., 2018</xref>). Polymeric biosurfactants such as liposan, emulsan, alasan, lipomanan are the most investigated polymeric biosurfactants. <italic>Acinetobacter calcoaceticus</italic> RAG-1 produces an emulsan type of polymeric surfactant, which helps in emulsifying hydrocarbons in water (<xref ref-type="bibr" rid="B203">Uzoigwe et al., 2015</xref>). Liposan is synthesized by <italic>Candida lipolytica</italic> (<xref ref-type="bibr" rid="B137">Panjiar et al., 2017</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Microbial biosurfactants and their role in pesticides degradation.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Microorganism</td>
<td valign="top" align="left">Biosurfactant Produced</td>
<td valign="top" align="left">Substrate for Production</td>
<td valign="top" align="left">Pesticide Degraded</td>
<td valign="top" align="left">Concentration of Pesticide</td>
<td valign="top" align="left">Degradation (%)</td>
<td valign="top" align="left">Identification technique</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Pseudomonas, Rhodococcus</italic></td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Vegetable oil waste, <italic>Zea mays</italic> waste</td>
<td valign="top" align="left">Cypermethrin, Chlorpyrifos</td>
<td valign="top" align="left">2%w/v</td>
<td valign="top" align="left">8&#x2013;63%, 39&#x2013;56%</td>
<td valign="top" align="left">Emulsification, FTIR, TLC, MALDI-TOF</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B129">Nitschke and Pastore, 2006</xref>; <xref ref-type="bibr" rid="B5">Aguila-Torres et al., 2020</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas</italic> sp.</td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Animal waste</td>
<td valign="top" align="left">Chlorpyrifos</td>
<td valign="top" align="left">0.01 g l<sup>&#x2013;1</sup></td>
<td valign="top" align="left">98%</td>
<td valign="top" align="left">Gas chromatography-mass spectrometry (GC-MS/HPLC)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B181">Singh et al., 2009</xref>; <xref ref-type="bibr" rid="B105">Lima et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas aeruginosa</italic> CH7</td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Cassava flour wheat</td>
<td valign="top" align="left">&#x03B2;- cypermethrin</td>
<td valign="top" align="left">25&#x2013;900 &#x03BC;g L<sup>&#x2013;1</sup></td>
<td valign="top" align="left">90%</td>
<td valign="top" align="left">Mass spectrometry</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B219">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B42">de Andrade et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Arthrobacter globiformis</italic></td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Agro-industrial waste</td>
<td valign="top" align="left">DDT</td>
<td valign="top" align="left">0.04 mg/L</td>
<td valign="top" align="left">65%</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Bai et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Garc&#x00ED;a-Reyes et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas aeruginosa</italic></td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Canola oil, Agro-industrial waste</td>
<td valign="top" align="left">Endosulfan, Quinalphos</td>
<td valign="top" align="left">320 mg/L, 10,000 mg/L</td>
<td valign="top" align="left">90%, 94%</td>
<td valign="top" align="left">FTIR/TLC Spectrophotometer</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Abbasi et al., 2012</xref>; <xref ref-type="bibr" rid="B124">Nair et al., 2015</xref>; <xref ref-type="bibr" rid="B141">P&#x00E9;rez-Armend&#x00E1;riz et al., 2019</xref>; <xref ref-type="bibr" rid="B26">Brice&#x00F1;o et al., 2020</xref>; <xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas</italic> sp. chlD</td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Sunflower oil waste</td>
<td valign="top" align="left">Chlorpyrifos</td>
<td valign="top" align="left">10 mg/L</td>
<td valign="top" align="left">99%</td>
<td valign="top" align="left">FTIR spectra analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B88">Kaskatepe and Yildiz, 2016</xref>; <xref ref-type="bibr" rid="B180">Singh et al., 2016</xref>; <xref ref-type="bibr" rid="B165">Shabbir et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Lysinibacillus sphaericus</italic> IITR51</td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Soybean waste oil</td>
<td valign="top" align="left">Endosulfan and HCH</td>
<td valign="top" align="left">50 and 100 mg/L</td>
<td valign="top" align="left">&#x003E;solubility</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B23">Bhatt et al., 2019</xref>; <xref ref-type="bibr" rid="B60">Gaur et al., 2019</xref>; <xref ref-type="bibr" rid="B101">Lamilla et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas aeruginosa and Sphingomonas</italic> sp.</td>
<td valign="top" align="left">Rhamnolipid</td>
<td valign="top" align="left">Agro waste</td>
<td valign="top" align="left">Hexachlorocyclohexane (HCH)</td>
<td valign="top" align="left">40 mg/L</td>
<td valign="top" align="left">95%</td>
<td valign="top" align="left">FTIR, Emulsification, GC-MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B114">Manickam et al., 2012</xref>; <xref ref-type="bibr" rid="B38">Das and Kumar, 2018</xref>; <xref ref-type="bibr" rid="B130">Niu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Rhodococcus</italic> sp. IITR03</td>
<td valign="top" align="left">Trehalolipid</td>
<td valign="top" align="left">Soybean oil waste</td>
<td valign="top" align="left">Dichlorodiphenyltri<break/>chloroethane (DDT)</td>
<td valign="top" align="left">282 &#x03BC;M</td>
<td valign="top" align="left">60%</td>
<td valign="top" align="left">LC-MS (Liquid chromatography-MS) and chemical analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Bages-Estopa et al., 2018</xref>; <xref ref-type="bibr" rid="B184">Soares da Silva et al., 2019</xref>; <xref ref-type="bibr" rid="B21">Bhatt et al., 2021a</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Burkholderia cenocepacia</italic> BSP3</td>
<td valign="top" align="left">Glycolipid</td>
<td valign="top" align="left">Frying oil waste</td>
<td valign="top" align="left">Parathion</td>
<td valign="top" align="left">500 mg/L</td>
<td valign="top" align="left">Enhanced solubility</td>
<td valign="top" align="left">FTIR/chemical analysis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B208">Wattanaphon et al., 2008</xref>; <xref ref-type="bibr" rid="B160">Schultz and Rosado, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas</italic> sp. B0406</td>
<td valign="top" align="left">Glycolipid</td>
<td valign="top" align="left">Soybean waste oil</td>
<td valign="top" align="left">Methyl parathion</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">&#x003E;solubility</td>
<td valign="top" align="left">LC-MS, FTIR</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">Cort&#x00E9;s-Camargo et al., 2016</xref>; <xref ref-type="bibr" rid="B139">Patowary et al., 2017</xref>; <xref ref-type="bibr" rid="B58">Garc&#x00ED;a-Reyes et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Serratia marcescens</italic> UCP-1549</td>
<td valign="top" align="left">Lipoprotein</td>
<td valign="top" align="left">Cassava wastewater</td>
<td valign="top" align="left">Organic pollutants</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">Mass spectrometry</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B29">Casullo De Ara&#x00FA;jo et al., 2010</xref>; <xref ref-type="bibr" rid="B42">de Andrade et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Paenibacillus</italic> sp. D9</td>
<td valign="top" align="left">Lipopeptide</td>
<td valign="top" align="left">Soybean oil waste</td>
<td valign="top" align="left">HCH</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">49&#x2013;65%</td>
<td valign="top" align="left">TLC/FTIR Thin-layer chromatography/Fourier transform infrared spectroscopy, Affinity chromatography</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B104">Li et al., 2016</xref>; <xref ref-type="bibr" rid="B82">Jimoh and Lin, 2019b</xref>; <xref ref-type="bibr" rid="B116">Marcelino et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bacillus subtilis</italic> MTCC 1427</td>
<td valign="top" align="left">Lipopeptide</td>
<td valign="top" align="left">Soybean oil waste</td>
<td valign="top" align="left">Endosulfan</td>
<td valign="top" align="left">400 &#x03BC;g/ml</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">TLC/IR</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref></td>
</tr>
<tr>
<td valign="top" align="left">Consortia of <italic>Bordetella petrii</italic> IGV 34 and <italic>Bordetella petrii</italic> II GV 36</td>
<td valign="top" align="left">Unidentified biosurfactant</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">Endosulfan</td>
<td valign="top" align="left">3,400 mg/L</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B131">Odukkathil and Vasudevan, 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Pseudomonas aeruginosa</italic> B1, <italic>P. fluorescens</italic> B5, <italic>P. stutzeri</italic> B11 and <italic>P. putida</italic> B15</td>
<td valign="top" align="left">Exopolysaccharides</td>
<td valign="top" align="left">Saw dust</td>
<td valign="top" align="left">2,4-D</td>
<td valign="top" align="left">0.2% v/v</td>
<td valign="top" align="left">70%</td>
<td valign="top" align="left">HPLC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B134">Onbasli and Aslim, 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bacillus algicola, Rhodococcus soli, Isoptericola chiayiensis</italic></td>
<td valign="top" align="left">Rhamnolipids</td>
<td valign="top" align="left">Potato process effluent, corn steep liquor</td>
<td valign="top" align="left">Crude oil</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">65%</td>
<td valign="top" align="left">FTIR, LC-MS, GC-MS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B152">Sachdev and Cameotra, 2013</xref>; <xref ref-type="bibr" rid="B103">Lee et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Actinomycetes, Bacillus, Pseudomonas, Rhodococcus</italic></td>
<td valign="top" align="left">Lipopeptide, sophorolipid, glycolipid</td>
<td valign="top" align="left">Date molasses</td>
<td valign="top" align="left">Organic pollutants</td>
<td valign="top" align="left"><bold>&#x2212;</bold></td>
<td valign="top" align="left">63&#x2013;84.6%</td>
<td valign="top" align="left">Lyophilization, Pedant drop method</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B7">Al-Bahry et al., 2013</xref>; <xref ref-type="bibr" rid="B83">Jimoh and Lin, 2019a</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="justify"/><td valign="top" align="justify"/><td valign="top" align="justify"/><td valign="top" align="justify"/><td valign="top" align="justify"/><td valign="top" align="justify"/><td valign="top" align="justify"/></tr>
</tbody>
</table>
</table-wrap>
<p>The biosurfactants listed above are representative of the main types of biosurfactants. Aside from that, many other kinds of biosurfactants and their uses will be described in detail in the next section concerning their application in pesticide remediation.</p>
</sec>
<sec id="S3.SS2">
<title>Methods for Detection of Microbial Biosurfactants</title>
<p>The discovery of new surfactant-producing microbial strains necessitates advanced microbial screening methods that should be both fast and reliable. In practice, employing a single screening approach for choosing biosurfactant-generating microorganisms has proved to be challenging to get reliable and consistent findings since biomolecules have a wide range of structural and functional characteristics (<xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>). Therefore, several screening methods must be employed in parallel to pick a large number of biosurfactant synthesizers from a population of isolated bacteria to get the best results. These techniques are based on the surface tension or emulsification activity of the surfactant, and some of these methods are described in detail in the following section.</p>
<sec id="S3.SS2.SSS1">
<title>Measurement of Surface Tension/Interfacial Measurement</title>
<p>This is the most efficient and reliable method for screening microorganisms for biosurfactant production (<xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>). Surface tension measures free energy per unit area at an interface or surface (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>). The stalagometric method, Wilhelmy plate method, du-Nuong-ring method, pendant drop shape method, and axisymmetric drop shape analysis is used to measure the surface tension of culture supernatants directly using a tensiometer (<xref ref-type="bibr" rid="B51">Dusane et al., 2010</xref>; <xref ref-type="bibr" rid="B157">Satpute et al., 2010</xref>). Distilled water (DW) has a surface tension of 72 mN/m. When biosurfactants are added to the DW, its surface tension is reduced. The ability of biosurfactants to reduce the surface tension of DW to less than 40 mN/m determines its effectiveness. The surface tension of water was reduced to around 30 mN/m by adding a rhamnolipid biosurfactant released by <italic>Pseudomonas aeruginosa</italic> (<xref ref-type="bibr" rid="B51">Dusane et al., 2010</xref>; <xref ref-type="bibr" rid="B61">Geetha et al., 2018</xref>; <xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>).</p>
</sec>
<sec id="S3.SS2.SSS2">
<title>Drop Collapse Method</title>
<p>It is one of the fastest and most straightforward techniques to conduct since it does not need specialized equipment and can be completed with a small sample (<xref ref-type="bibr" rid="B77">Jain et al., 1991</xref>). In this technique, surfactants are used to destabilize liquid droplets. On an oil-coated solid surface, drops of culture supernatant or cell suspension are dropped onto the surface. As long as the liquid does not include any surfactants, the polar water molecules are repelled from the hydrophobic surface, and the droplets do not become unstable (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>). The spread or even collapse of the liquid drop occurs due to the reduction in force or interfacial tension between the liquid drop and the hydrophobic surface when the liquid includes surfactants. The surfactant concentration affects the stability of drops, which is linked to the surface and interfacial tension (<xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>). However, despite its speed and simple procedure, this method has low sensitivity because a substantial concentration of surface-active chemicals is required to cause the aqueous drops to collapse on the oil or glass surface (<xref ref-type="bibr" rid="B217">Youssef et al., 2004</xref>; <xref ref-type="bibr" rid="B19">Batista et al., 2006</xref>; <xref ref-type="bibr" rid="B218">Yu and Huang, 2011</xref>).</p>
</sec>
<sec id="S3.SS2.SSS3">
<title>CTAB Agar Plate Method</title>
<p>Extracellular glycolipids or other anionic surfactants can be detected using a CTAB (cetyltrimethylammonium bromide) agar plate method, a semi-quantitative screening method (<xref ref-type="bibr" rid="B69">Hazra et al., 2011</xref>). Siegmund and Wagner were the ones who developed this CTAB agar method for the detection of biosurfactant synthesizing microbes (<xref ref-type="bibr" rid="B172">Siegmund and Wagner, 1991</xref>). The microorganisms of interest are grown on light blue mineral salt, agar plate containing the cationic surfactant CTAB and the basic dye methylene blue. When the microbes release anionic surfactants on the plate, they combine with CTAB and methylene blue to generate a dark blue, insoluble ion pair (<xref ref-type="bibr" rid="B145">Rajesh et al., 2017</xref>). As a result, dark blue halos surround surfactant-producing microbes (<xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>). This method is simple, selective for anionic surfactants, and can be performed on agar plates or liquid broth with various substrates and temperatures. Still and all, CTAB is toxic and prevents the growth of several bacterial colonies (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>).</p>
</sec>
<sec id="S3.SS2.SSS4">
<title>Oil Spreading Assay</title>
<p>In the oil spreading method, crude oil (10 ml) is added to distilled water (40 ml) in a Petri plate, resulting in a thin layer of oil (<xref ref-type="bibr" rid="B9">Alyousif et al., 2021</xref>). Following that, culture supernatants (10 ml) are introduced to the oil-water interface (<xref ref-type="bibr" rid="B186">Soltanighias et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Dayamrita et al., 2020</xref>). The presence of surfactant in the culture supernatant is demonstrated by the displacement of oil and the emergence of a clear zone. Surfactant activity is proportional to the diameter of the clear zone on the oil surface (<xref ref-type="bibr" rid="B156">Sarwar et al., 2018</xref>; <xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>). The oil spreading method is a quick, accurate and dependable way to identify the synthesis of biosurfactants by a variety of microbes (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>; <xref ref-type="bibr" rid="B69">Hazra et al., 2011</xref>; <xref ref-type="bibr" rid="B68">Hasanizadeh et al., 2017</xref>).</p>
</sec>
<sec id="S3.SS2.SSS5">
<title>Penetration Assay</title>
<p>This assay is based on the color shift that occurs when two insoluble phases come into contact. For this experiment, the wells of 96 well micro-plate are filled with 150 &#x03BC;l of a hydrophobic paste made up of oil and silica gel. 10 &#x03BC;l of oil is poured over the paste. The culture&#x2019;s supernatant is then dyed by adding 10 &#x03BC;l of a red staining solution to 90 &#x03BC;l of supernatant. The colored supernatant is applied to the paste&#x2019;s surface (<xref ref-type="bibr" rid="B109">Maczek et al., 2007</xref>). The hydrophilic liquid will break through the oil film barrier into the paste if a biosurfactant is present. Within 15 min, the silica will shift from more apparent red to cloudy white as it enters the hydrophilic phase. The described effect is based on the fact that when biosurfactants are present, silica gel transitions from hydrophobic to the hydrophilic phase faster. The supernatant without biosurfactants will become hazy but remains red to crimson red (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>; <xref ref-type="bibr" rid="B178">Singh and Sedhuraman, 2015</xref>; <xref ref-type="bibr" rid="B195">Touseef and Ahmad, 2018</xref>).</p>
<p>Apart from it, there exist several other methods for detection of biosurfactants producing microbes such as microplate assay (<xref ref-type="bibr" rid="B207">Walter et al., 2010</xref>), emulsification capacity assay (<xref ref-type="bibr" rid="B33">Cooper and Goldenberg, 1987</xref>), BATH (bacterial adhesion to hydrocarbon) assay (<xref ref-type="bibr" rid="B151">Rosenberg et al., 1980</xref>; <xref ref-type="bibr" rid="B128">Nayarisseri et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Dayamrita et al., 2020</xref>), salt aggregation assay (<xref ref-type="bibr" rid="B75">Ismail et al., 2018</xref>), and blood hemolysis assay (<xref ref-type="bibr" rid="B4">Adetunji and Olaniran, 2021</xref>).</p>
</sec>
</sec>
</sec>
<sec id="S4">
<title>Application of Biosurfactants and Their Mechanism of Action in Pesticide Remediation</title>
<p>Pesticide contamination is a significant problem. The use of biosurfactants for pesticide biodegradation has recently gained popularity. According to ZION market research and global market insights, the worldwide biosurfactant industry is projected to reach &#x0024;2.4 billion by 2025 (<xref ref-type="bibr" rid="B102">Lai et al., 2009</xref>; <xref ref-type="bibr" rid="B188">Sun et al., 2015</xref>). The biosurfactant market is anticipated to grow as the pesticide business grows and consumers become more health-conscious (<xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). The most crucial role that biosurfactants play is the dissociation of toxic pesticide molecules from the soil or water molecules, thus making it bioavailable for the microbes to speed up the remediation process (<xref ref-type="fig" rid="F5">Figure 5</xref>; <xref ref-type="bibr" rid="B74">Inakollu et al., 2004</xref>; <xref ref-type="bibr" rid="B209">Whang et al., 2009</xref>; <xref ref-type="bibr" rid="B147">Rasheed et al., 2020</xref>). Desorption from soil particles leads to a reduction in surface tension, thus enhancing the mechanism of degradation (<xref ref-type="bibr" rid="B173">Singh et al., 2007</xref>; <xref ref-type="bibr" rid="B200">Twigg et al., 2019</xref>). The probable interaction used for pesticides bioremediation by biosurfactants includes electrostatic interactions, counter-ion binding, ion exchange, and precipitation-dissolution (<xref ref-type="bibr" rid="B18">Banat et al., 2010</xref>; <xref ref-type="bibr" rid="B139">Patowary et al., 2017</xref>; <xref ref-type="bibr" rid="B212">Xu et al., 2018</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Interaction of biosurfactant with pesticides and the microbes.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g005.tif"/>
</fig>
<p>Biosurfactants enhance the surface area of hydrophobic pesticides, increasing their solubility in soil and water by inducing emulsification of pesticide molecules (<xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). The thumb rule of bioremediation is that the more the amount of pesticide that is water-soluble, the greater the amount of pesticide bioavailable to microorganisms. Surface-active apolar flocculating molecules such as biosurfactants, which produce emulsions at and above their critical micellar concentration, may enhance the separation of hydrophobic pesticides from the aqueous phase by creating emulsions at and above their critical micellar concentration (CMC). When pesticides are released into the environment, they become more bioavailable to possible degraders, which may help alleviate the worry about pesticide contamination of soil and water bodies (<xref ref-type="bibr" rid="B220">Zhou et al., 2011</xref>; <xref ref-type="bibr" rid="B122">Moya Ram&#x00ED;rez et al., 2015</xref>). As a result, the soil becomes free of pollutants, productive, and suitable for crop cultivation (<xref ref-type="bibr" rid="B55">Fenibo et al., 2019</xref>; <xref ref-type="bibr" rid="B83">Jimoh and Lin, 2019a</xref>). The overall mechanism of soil, microbes and pesticide interaction is shown in <xref ref-type="fig" rid="F5">Figure 5</xref>.</p>
<p>Rhamnolipids are the most widely used biosurfactants in industrial and environmental clean-up applications. The potential of rhamnolipid in bioremediation has been extensively studied in <italic>Pseudomonas</italic> and <italic>Burkholderia</italic> species (<xref ref-type="bibr" rid="B205">Varjani and Upasani, 2016</xref>). Rhamnolipids obtained from <italic>Pseudomonas aeruginosa</italic> enhance biodegradation of herbicide trifluralin and insecticide chlorpyrifos in the contaminated soil-water bodies (<xref ref-type="bibr" rid="B180">Singh et al., 2016</xref>; <xref ref-type="bibr" rid="B190">Tan and Li, 2018</xref>). It has been reported that the presence of glycolipid type of biosurfactant obtained from <italic>Pseudomonas</italic> species enhances solubilization of methyl parathion and endosulfan (<xref ref-type="bibr" rid="B58">Garc&#x00ED;a-Reyes et al., 2018</xref>). With around 100 gL<sup>&#x2013;1</sup>, <italic>Pseudomonas aeruginosa</italic> is regarded as the top rhamnolipid producer and it produces two forms of rhamnolipids in liquid suspension i.e., mono and di-rhamnolipid (<xref ref-type="bibr" rid="B205">Varjani and Upasani, 2016</xref>) by rhamnosyl transfer enzymatic reaction with the help of rhamnosyltransferase enzyme (<xref ref-type="bibr" rid="B185">Sober&#x00F3;n-Ch&#x00E1;vez et al., 2005</xref>; <xref ref-type="bibr" rid="B206">Varjani and Upasani, 2017</xref>). The hydrophobic and hydrophilic components of the rhamnolipid are formed due to a series of enzymatic processes that take place in microbes. After synthesis, the two halves of the lipid are linked together to form mono- and di-rhamnolipids, respectively (<xref ref-type="bibr" rid="B23">Bhatt et al., 2019</xref>). A rhamnolipid was formed from an axenic culture of <italic>Pseudomonas putida</italic> strain DOT-T1E, which aided in the bioremediation of chlorinated phenols (<xref ref-type="bibr" rid="B111">Maia et al., 2019</xref>). The trapping of the chlorophenol in the biosurfactant micelles, as well as the hydrophobic connection between these two types of molecules, are at the heart of this action. Likewise, actinobacteria-formed biosurfactant accelerates the bioremediation of xenobiotics (<xref ref-type="bibr" rid="B187">Sponza and Gok, 2011</xref>). In the bioremediation of carbendazim with <italic>Rhodococcus</italic> species D-1, rhamnolipids were found efficient. With the highest bioremediation efficiency, the rhamnolipid altered carbendazim degradation in a concentration-dependent manner. It aided carbendazim transesterification and favorable cell surface modification, allowing it to enter <italic>Rhodococcus</italic> species D-1 cells, which were degraded (<xref ref-type="bibr" rid="B16">Bai et al., 2017</xref>). Glucolipid type of biosurfactant produced by <italic>Burkholderia cenocepacia</italic> BSP3 complements the solubilization of pesticide (<xref ref-type="bibr" rid="B27">Bustamante et al., 2012</xref>). Biosurfactants that spontaneously break down the pesticides are good for the environment and are considered environmentally benign (<xref ref-type="bibr" rid="B81">Jezierska et al., 2019</xref>).</p>
<p>Rhizospheric bacteria&#x2019;s have been reported to play a key role in the degradation of pesticides, accelerating the breakdown as seen during biosurfactant biosynthesis (<xref ref-type="bibr" rid="B25">Bordoloi and Konwar, 2009</xref>; <xref ref-type="bibr" rid="B175">Singh, 2015</xref>; <xref ref-type="bibr" rid="B48">Dos Santos and Maranho, 2018</xref>). The amount of biosurfactant is also vital for microbial development. High quantities of these biosurfactants inhibit microbial growth and breakdown. These findings may not apply to all microbial strains. A study shows that biosurfactant addition increased 30% endosulfan degradation with the help of <italic>Bacillus subtilis</italic> MTCC 1427 in the soil and aqueous solution (<xref ref-type="bibr" rid="B220">Zhou et al., 2011</xref>). Endosulfan isomers were found to have more significant mobilization and accessibility in the presence of biosurfactant, which could be due to pesticide solubilization or improved attraction for micro-organism cells. Due to the formation of rhamnolipids by <italic>P. aeruginosa</italic>, the soil adulterated with endosulfan showed accelerated degradation after 7 days of the experiment (<xref ref-type="bibr" rid="B110">Madamwar et al., 2021</xref>). The published article indicated that the <italic>Pseudomonas</italic> strain BO406 produced a raw extract of a biosurfactant (glycolipid) that aided in the solubilization of endosulfan (<xref ref-type="bibr" rid="B58">Garc&#x00ED;a-Reyes et al., 2018</xref>). The strain of <italic>Lysinibacillus sphaericus</italic> IITR51 was used by researchers to develop a thermostable rhamnolipid biosurfactant capable of increasing the solubility of the highly hydrophobic pesticides such as endosulfan and HCH (hexachlorocyclohexane) (<xref ref-type="bibr" rid="B114">Manickam et al., 2012</xref>; <xref ref-type="bibr" rid="B60">Gaur et al., 2019</xref>). A strain of <italic>Pseudomonas</italic> SB can produce a biosurfactant that enhances DDT breakdown. Rhamnolipid has been reported to increase DDT degradation by 64% from 52% without rhamnolipid (<xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). Studies on mixed consortia of <italic>Pleurotus ostreatus</italic> (white-rot fungus), <italic>Bacillus subtilis</italic>, and <italic>P. aeruginosa</italic> have produced biosurfactants that improve DDT biodegradation (<xref ref-type="bibr" rid="B144">Purnomo et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Bhatt et al., 2021b</xref>). The hydrophobic herbicide 2,4,5-trichlorophenoxy acetic acid was degraded with the help of a biosurfactant produced from <italic>Pseudomonas cepacian</italic> (<xref ref-type="bibr" rid="B2">Abdul Salam and Das, 2013</xref>; <xref ref-type="bibr" rid="B136">Pang et al., 2020</xref>; <xref ref-type="bibr" rid="B149">Rawat et al., 2020</xref>). Similarly, introducing rhamnolipid to <italic>Rhodococcus</italic> species-D1 resulted in increased carbendazim biodegradation. The addition of rhamnolipid to the soil resulted in around 24&#x2013;35% biodegradation of trifluralin (<xref ref-type="bibr" rid="B16">Bai et al., 2017</xref>). Under atrazine biodegradation, a marine strain of <italic>Bacillus velezensis</italic> MHNK1 produced surfactin lipopeptide. The atrazine was degraded entirely after using a combination of <italic>B. velezensis</italic> MHNK1 (2%) and surfactin for 4 days (<xref ref-type="bibr" rid="B78">Jakinala et al., 2019</xref>).</p>
<p>A very interesting example of the application of biosurfactant in pesticide remediation is from the Patagonia region, which is famous for salmon farming, and to protect salmons from parasitic attack, cypermethrin (A pyrethroid category of pesticide) is used extensively in marine water. Scientists isolated microbial strains <italic>Rhodococcus</italic> species MS13, <italic>Rhodococcus</italic> species MS16, <italic>Pseudomonas</italic> species MS15a, and <italic>Pseudomonas</italic> species MS19 that could degrade cypermethrin by the production of biosurfactant (<xref ref-type="bibr" rid="B5">Aguila-Torres et al., 2020</xref>). A novel strain of <italic>Serratia</italic> species Tan 611 has been isolated from Algeria&#x2019;s oil-contaminated waste-water. Its further sequencing and annotation revealed that it consists of genes that code for catechol 1,2-dioxygenase and naphthalene 1,2-dioxygenase, which are primarily responsible for aromatic derived hydrocarbon catabolism (<xref ref-type="bibr" rid="B32">Clements et al., 2019</xref>). An alkane degrading gene Lad-A that codes for monooxygenase have also been identified in the same strain. The bacterially produced biosurfactant has an emulsification index of about 43.47&#x2013;65.22% and forms biofilms in the presence of oil spills and petroleum. Further studies revealed that <italic>Serratia</italic> species strain Tan611 proves to be one of the best candidates in microbial remediation of aromatic pesticides (<xref ref-type="bibr" rid="B163">Semai et al., 2021</xref>). Biosurfactants boost the rate of pesticide degradation when a microbial consortium is used for bioremediation due to the synergistic influence of microbial communities (<xref ref-type="bibr" rid="B144">Purnomo et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Bhatt et al., 2019</xref>; <xref ref-type="bibr" rid="B54">Femina Carolin et al., 2020</xref>).</p>
</sec>
<sec id="S5">
<title>Metagenomics: Unraveling the Structure and Composition of Biosurfactant Producing Microbes and Their Role in Pesticide Remediation</title>
<p>Metagenomics analysis based on the sequence and function of the unculturable microbial community will help to uncover information in different ecological niches (<xref ref-type="bibr" rid="B50">Dubey et al., 2019</xref>; <xref ref-type="bibr" rid="B98">Kumar et al., 2019</xref>; <xref ref-type="bibr" rid="B112">Malla et al., 2019</xref>; <xref ref-type="bibr" rid="B95">Kumar and Dubey, 2020</xref>). The finding of novel microorganisms or their gene clusters expressing biosurfactants is an example of its application (<xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>). Metagenomics provides access to the uncultured microbial population along with their taxonomic and functional composition based on targeted or shotgun sequencing of 16S rRNA regions (<xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>). The function-based approach detects and discovers genes capable of forming wholly new bioactive compounds that have never been identified before (<xref ref-type="bibr" rid="B171">Shikha et al., 2021</xref>). From pesticide-contaminated materials (soil, water), metagenomics helped create DNA libraries tested for biosurfactant-producing clones. There are many techniques for screening metagenomic libraries for biosurfactants, including function-based approaches like SIGEX (substrate-induced gene expression) and HTP (high-throughput) screening (<xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>; <xref ref-type="bibr" rid="B54">Femina Carolin et al., 2020</xref>). The investigation of microbial metagenomes can also help researchers to gain a better knowledge of microbes that can produce biosurfactants in a variety of environments, particularly pesticides contaminated soils (<xref ref-type="bibr" rid="B171">Shikha et al., 2021</xref>).</p>
<p>The use of function-based metagenomic strategies can be a potent tool in helping to exploit the unique microbial diversity of pesticide-contaminated environments, thereby assisting in the ongoing search for novel biosurfactants with potentially important bioremediation applications (<xref ref-type="bibr" rid="B213">Yadav et al., 2019</xref>; <xref ref-type="bibr" rid="B191">Ta&#x015F; et al., 2021</xref>). Most research on biosurfactant producing microbes has been limited to soil isolates, primarily from the <italic>Pseudomonas</italic> and <italic>Bacillus</italic> species. However, with the help of metagenomics, it has recently been discovered that a diverse group of soil and marine microbes can produce biosurfactants (<xref ref-type="bibr" rid="B45">Dhanjal and Sharma, 2018</xref>; <xref ref-type="bibr" rid="B66">Guerra et al., 2018</xref>; <xref ref-type="bibr" rid="B59">Garg et al., 2021</xref>) and some of these biosurfactants have shown potential in bioremediation of pesticides (<xref ref-type="bibr" rid="B90">Kennedy et al., 2011</xref>; <xref ref-type="bibr" rid="B63">Ghosh and Das, 2018</xref>). These microbes include <italic>Azotobacter chroococcum, Cobelia</italic> species, <italic>Myroides</italic> species, <italic>Nocardiopsis alba</italic> MSA10, <italic>Alcanivorax</italic> species, <italic>Micrococcus luteus, Yarrowia lipolytica</italic>. There is a variety of screening approaches for detecting biosurfactant-producing microbes (as discussed in section &#x201C;Methods for Detection of Microbial Biosurfactants&#x201D;), some of which could be used for high-throughput (HTP) metagenomic library screening (<xref ref-type="bibr" rid="B46">Domingos et al., 2015</xref>; <xref ref-type="bibr" rid="B45">Dhanjal and Sharma, 2018</xref>; <xref ref-type="bibr" rid="B66">Guerra et al., 2018</xref>). Thus, in screening, it is likely that novel gene clusters involved in biosurfactant production from soil and aquatic microbial assemblages will be discovered, speeding up the development of bioremediation technologies involving biosurfactants in pesticide-contaminated environments (<xref ref-type="bibr" rid="B70">Hemmat-Jou et al., 2018</xref>; <xref ref-type="bibr" rid="B191">Ta&#x015F; et al., 2021</xref>). The whole workflow of metagenomics investigation of biosurfactant producing microbes is presented in <xref ref-type="fig" rid="F6">Figure 6</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Metagenomics workflow of biosurfactant producing microbes.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-791723-g006.tif"/>
</fig>
<p>Metagenomics assists in the investigation of unique biosurfactant-producing genes from the bacteria present in diverse environments and distinct pathways and approaches for improved biosurfactant production. These investigations helped in finding two novel biosurfactants; palmitoyl putrescine and N-acyl amino acids (<xref ref-type="bibr" rid="B76">Jackson et al., 2015</xref>; <xref ref-type="bibr" rid="B210">Williams and Trindade, 2017</xref>; <xref ref-type="bibr" rid="B73">Hu et al., 2019</xref>; <xref ref-type="bibr" rid="B182">Singh et al., 2020b</xref>). Given the amount and diversity of biosurfactant synthesizing microbes found in cultured isolates, it is believed that employing metagenomics to investigate the even larger uncultured component of the microbial community will lead to major novel biosurfactant discoveries (<xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>; <xref ref-type="bibr" rid="B182">Singh et al., 2020b</xref>). A group of researchers identified a new gene involved in biosurfactant synthesis and helps in hydrocarbon degradation. They named it MBSP1 (<xref ref-type="bibr" rid="B28">Carla da Silva Ara&#x00FA;jo et al., 2020</xref>) (metagenomic biosurfactant protein 1) (<xref ref-type="bibr" rid="B11">Ara&#x00FA;jo et al., 2020</xref>). <xref ref-type="bibr" rid="B194">Thies et al. (2016)</xref> conducted a metagenomic study by collecting samples from the drain of the slaughterhouse that was rich in microbes belonging to flavobacteriaceae and, through NMR-spectroscopy identified novel biosurfactant as N-acyltyrosines along with N-myristoyl-tyrosine as the dominant species (<xref ref-type="bibr" rid="B194">Thies et al., 2016</xref>). Metagenomics delivers an adequate metagenomic database that will give a substantial stock of genes to develop novel microbial strains for targeted application in biosurfactant production and bioremediation (<xref ref-type="bibr" rid="B113">Malla et al., 2018</xref>; <xref ref-type="bibr" rid="B39">Datta et al., 2020</xref>; <xref ref-type="bibr" rid="B49">Douglas et al., 2020</xref>; <xref ref-type="bibr" rid="B97">Kumar et al., 2021b</xref>). Metagenomics coupled with bioinformatics removes all the obstacles faced in the process of genomic studies such as phylogenetic analysis, taxonomic profiling, molecular phylogeny, functional characterization of metagenomes, and enzymes and system biology studies, including genetic engineering through CRISPR or TALEN (<xref ref-type="bibr" rid="B182">Singh et al., 2020b</xref>). Quite a few bioinformatic pipelines have been developed (<xref ref-type="table" rid="T2">Table 2</xref>), such as QIIME (quantitative insights into microbial ecology), PICRUSt (phylogenetic investigation of communities by reconstruction of unobserved states), MG-RAST (metagenomic rapid annotations using subsystems technology), Mothur, CLARK, MetaPhlAn2 (metagenomic phylogenetic analysis), MICCA, Metaphyler, MOCAT<sub>2</sub>, TIPP2, mOTU<sub>sv2</sub>, Bracken, etc., for sequence classification and taxonomic profiling of metagenomic data (<xref ref-type="bibr" rid="B106">Liu et al., 2010</xref>; <xref ref-type="bibr" rid="B8">Albanese et al., 2015</xref>; <xref ref-type="bibr" rid="B198">Truong et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Douglas et al., 2020</xref>; <xref ref-type="bibr" rid="B182">Singh et al., 2020b</xref>). Metagenomics coupled with <italic>in-silico</italic> bioinformatic tools or repositories such as KEGG (Kyoto encyclopedia of genes and genomes), COG (clusters of orthologous groups), EAWAG-BBD pathway prediction system, enviPath, BIOWIN, etc., helps in predictive degradation of pesticides along with the metabolite/biosurfactant identification involved in degradation mechanism (<xref ref-type="bibr" rid="B14">Awasthi et al., 2020</xref>; <xref ref-type="bibr" rid="B150">Rodr&#x00ED;guez et al., 2020</xref>; <xref ref-type="bibr" rid="B166">Shah et al., 2021</xref>; <xref ref-type="bibr" rid="B174">Singh et al., 2021</xref>). A repository named BioSurfDB (biosurfactant degradation database) consists of about 1,077 microbes, 3,763 genes, 3,430 proteins, and 47 detailed bioremediation pathways using biosurfactants (<xref ref-type="bibr" rid="B11">Ara&#x00FA;jo et al., 2020</xref>; <xref ref-type="bibr" rid="B118">Meenatchi et al., 2020</xref>; <xref ref-type="bibr" rid="B100">Kumari and Kumar, 2021</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Bioinformatic pipelines for metagenomic data analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Bioinformatic pipeline</td>
<td valign="top" align="left">Description</td>
<td valign="top" align="left">Link</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Squeeze MATA</td>
<td valign="top" align="left">Squeeze Meta (A fully automated pipeline) provides multi-metagenome assistance, which allows for the co-assembly of correlated metagenomes as well as the retrieval of specific genomes via binning techniques.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/jtamames/SqueezeMeta">https://github.com/jtamames/SqueezeMeta</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B189">Tamames and Puente-S&#x00E1;nchez, 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">ANASTASIA</td>
<td valign="top" align="left">ANASTASIA (automated nucleotide amino-acid sequences translational platform for systemic interpretation and analysis) offers a diverse set of bioinformatics toolkits, both publicly available and proprietary, that can be integrated into a variety of algorithmic analytic workflows to perform a variety of data processing applications on (meta)genomic sequence data&#x2014;sets.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://galaxyproject.org/use/anastasia/">https://galaxyproject.org/use/anastasia/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B94">Koutsandreas et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">MetaWRAP</td>
<td valign="top" align="left">MetaWRAP is a shotgun metagenomic data analysis pipeline that starts with raw sequencing reads and ends with metagenomic bins and their analysis.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/bxlab/metaWRAP">https://github.com/bxlab/metaWRAP</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B202">Uritskiy et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">WebMGA</td>
<td valign="top" align="left">It is a customized web server that includes over 20 regularly used functions such as ORF calling, sequence grouping, raw read quality checking, removal of sequencing artifacts and contaminations, taxonomic analysis, functional annotation, and more.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="http://weizhong-lab.ucsd.edu/webMGA/">http://weizhong-lab.ucsd.edu/webMGA/</ext-link> (accessed December 02, 2021)</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B211">Wu et al., 2011</xref>; <xref ref-type="bibr" rid="B142">Piumini et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">MetaSUB</td>
<td valign="top" align="left">Large-Scale Metagenomic Analysis is Made Possible by the MetaSUB Microbiome Core Analysis Pipeline.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/MetaSUB/CAP2">https://github.com/MetaSUB/CAP2</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B37">Danko and Mason, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">MetAMOS</td>
<td valign="top" align="left">It&#x2019;s a publicly available, modular metagenomic assembly and analysis pipeline that can help reduce assembly errors, which are prevalent when putting together metagenomic samples, and enhance taxonomic assignment accuracy while lowering computational costs.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/treangen/MetAMOS">https://github.com/treangen/MetAMOS</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B196">Treangen et al., 2013</xref>; <xref ref-type="bibr" rid="B126">Nathani et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">SmashCommunity</td>
<td valign="top" align="left">It is a stand-alone metagenomic annotation and analysis pipeline that works with Sanger and 454 sequencing data. It includes tools for calculating the quantitative phylogenetic and functional compositions of metagenomes, comparing the compositions of several metagenomes, and creating understandable visual representations of such studies.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="http://www.bork.embl.de/software/smash/">http://www.bork.embl.de/software/smash/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B13">Arumugam et al., 2010</xref>; <xref ref-type="bibr" rid="B170">Sharma et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">PALEOMIX</td>
<td valign="top" align="left">PALEOMIX is a modular and user-friendly pipeline that automates the <italic>in-silico</italic> studies behind whole-genome resequencing for modern and ancient genomes.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="http://geogenetics.ku.dk/publications/paleomix">http://geogenetics.ku.dk/publications/paleomix</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B159">Schubert et al., 2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">ARGs-OAP</td>
<td valign="top" align="left">An integrated structured ARG database is used in an online analytic workflow for detecting antibiotic resistance genes from metagenomic data.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="http://smile.hku.hk/SARGs">http://smile.hku.hk/SARGs</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B215">Yang et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">HOME-BIO</td>
<td valign="top" align="left">HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities) is a comprehensive pipeline for metagenomics data analysis that consists of three distinct analytical modules that are meant to analyze big NGS datasets comprehensively.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/carlferr/HOME-BIO">https://github.com/carlferr/HOME-BIO</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B56">Ferravante et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">QIIME</td>
<td valign="top" align="left">QIIME is a microbial community analysis software program that has been used to examine and understand nucleic acid data sets from fungal, viral, bacterial, and archaeal populations.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://qiime2.org/">https://qiime2.org/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B107">L&#x00F3;pez-Garc&#x00ED;a et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">MICCA</td>
<td valign="top" align="left">MICCA is a software pipeline that rapidly integrates quality filtering, clustering of Operational Taxonomic Units (OTUs), taxonomic classification assignment, and phylogenetic tree inference for amplicon metagenomic datasets. It produces reliable findings while maintaining a reasonable balance of modularity and usability.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://micca.readthedocs.io/en/latest/">https://micca.readthedocs.io/en/latest/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B8">Albanese et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">RIEMS</td>
<td valign="top" align="left">RIEMS, assigns every individual read sequence inside a dataset taxonomically by cascading different sequence analyses with decreasing stringency of the assignments utilizing multiple software tools. Following the completion of the analyses, the results are reported in a taxonomically ordered outcome procedure.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/EBI-COMMUNITY/fli-RIEMS">https://github.com/EBI-COMMUNITY/fli-RIEMS</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B158">Scheuch et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">MG-RAST</td>
<td valign="top" align="left">MG-RAST is a data platform for processing, analyzing, sharing, and distributing metagenomic datasets that accept open submissions.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://www.mg-rast.org/">https://www.mg-rast.org/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Keegan et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">PICRUSt</td>
<td valign="top" align="left">PICRUSt predicts the functional potential of a bacterial community based on marker gene sequencing profiles.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/picrust/picrust2">https://github.com/picrust/picrust2</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Douglas et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">MetaPhlAn</td>
<td valign="top" align="left">MetaPhlAn (Metagenomic Phylogenetic Analysis) is a program that uses metagenomic shotgun sequencing data to profile the makeup of microbial communities. It depends on 17,000 reference genomes to identify unique clade-specific marker genes.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://huttenhower.sph.harvard.edu/metaphlan2/">https://huttenhower.sph.harvard.edu/metaphlan2/</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B198">Truong et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">FMAP</td>
<td valign="top" align="left">FMAP (<italic>F</italic>unctional <italic>M</italic>apping and <italic>A</italic>nalysis <italic>P</italic>ipeline) is an open-sourced, stand-alone functional analysis pipeline for analyzing whole metagenomic and meta transcriptomic sequencing data.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/jiwoongbio/FMAP">https://github.com/jiwoongbio/FMAP</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B92">Kim et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">TIPP2</td>
<td valign="top" align="left">It is a marker gene-based abundance profiling method that controls classification precision and recall by combining phylogenetic placement with statistical methodologies. Over the original TIPP technique, it includes an updated set of reference packages and various algorithmic advancements.</td>
<td valign="top" align="left"><ext-link ext-link-type="uri" xlink:href="https://github.com/smirarab/sepp/blob/tipp2/README.TIPP.md">https://github.com/smirarab/sepp/blob/tipp2/README.TIPP.md</ext-link></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B166">Shah et al., 2021</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To date, only a few research employing genetic modification methods for biosurfactant production have been published, and one such research is genetic modification of wild <italic>Bacillus</italic> strain for surfactin production (<xref ref-type="bibr" rid="B199">Tsuge et al., 2001</xref>). <italic>Bacillus</italic> species are engineered to increase their production through operon promoter transfer (SrfA) or upregulation of the exporter (YerP). Due to intricate metabolic regulation and its long genomic sequence, this operon&#x2019;s production is difficult (<xref ref-type="bibr" rid="B73">Hu et al., 2019</xref>; <xref ref-type="bibr" rid="B183">Singh et al., 2020a</xref>). However, genetic engineering methods only resulted in a few or single-gene alterations, and commercial manufacturing of biosurfactants has yet to be achieved. As a result, experimentation-based optimizations to synthesize biosurfactants are still ongoing, and a new regulatory aspects need to be investigated, and the latest CRISPR based methods should be used to transfer biosurfactant producing genes to indigenous microbes residing in contaminated sites (<xref ref-type="bibr" rid="B123">Mulligan, 2009</xref>; <xref ref-type="bibr" rid="B162">Sekhon et al., 2011</xref>; <xref ref-type="bibr" rid="B184">Soares da Silva et al., 2019</xref>; <xref ref-type="bibr" rid="B95">Kumar and Dubey, 2020</xref>).</p>
</sec>
<sec id="S6" sec-type="conclusion">
<title>Conclusion and Prospects</title>
<p>Pesticides are complex compounds that are hydrophobic. When used in excess, pesticides pollute the air, soil, and water bodies because they interact with soil particles and leach deep into the soil and water bodies, making them inaccessible for microbial activity to thrive. Microbial biosurfactants serve an essential role in making these pesticides accessible for microbial enzymatic breakdown. Biosurfactants dissolve pesticides linked to soil particles and create emulsions at and above their CMC, thus increasing the bioavailability of the pesticide molecule in the soil. Different microbes secrete different categories of biosurfactants, each of which contributes more or less to enhancing the remediation process. More emphasis should be placed on improving process parameters to maximize the production of biosurfactants and their application in pesticide remediation. Tapping the potential of biosurfactant producing microbes by using the latest omics platform and gene-editing tools may offer a sustainable way to remediate these pesticides from the environment.</p>
<p>Although, research is going on for the production of biosurfactants from microbes. But still, many areas remain unexplored and need further investigation, such as:</p>
<list list-type="simple">
<list-item>
<label>&#x2022;</label>
<p>Most of the microbial biosurfactants have anti-microbial activities and are not suitable for remediation studies as this may harm the remediation process instead of enhancing it.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>Pesticide manufacturers must switch to biosurfactants instead of synthetic surfactants used as emulsifiers as they are highly toxic and persistent in the environment.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>Metagenomics coupled with DNA-stable isotope probing can be used in future studies to identify novel microbes with biosurfactant producing potential as it overcomes the impediment faced in functional screening using metagenomics.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>Metagenomics studies and other omics and <italic>In-silico</italic> studies need to enhance access to biosurfactants producing microbes from highly contaminated habitats or high-stress conditions such as high pH, temperature, and salinity, etc.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>More genetic and bioengineering studies need to be conducted to identify genes involved in biosurfactant production and the implementation of advanced CRISPR (clustered regularly interspaced short palindromic repeats) technology to enhance biosurfactants&#x2019; production.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>Identification of biosurfactant genes and their incorporation into microbial species commonly found in contaminated sites utilizing the CRISPR tool which will enhance the process of pesticide remediation.</p>
</list-item>
</list>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>AR prepared the draft of the manuscript under the supervision and guidance of AK. AK and JD revised and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="S8">
<title>Funding</title>
<p>AR received a Ph.D. fellowship from the host university. JD and AK acknowledges the research support provided by Rhodes University.</p>
</sec>
<ack>
<p>AR would like to thank the University Ph.D. fellowship for supporting this study.</p>
</ack>
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