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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Chem. Eng.</journal-id>
<journal-title>Frontiers in Chemical Engineering</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Chem. Eng.</abbrev-journal-title>
<issn pub-type="epub">2673-2718</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1086881</article-id>
<article-id pub-id-type="doi">10.3389/fceng.2023.1086881</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Chemical Engineering</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prospects for utilizing microbial consortia for lignin conversion</article-title>
<alt-title alt-title-type="left-running-head">Rodriguez et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fceng.2023.1086881">10.3389/fceng.2023.1086881</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rodriguez</surname>
<given-names>Alberto</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/700730/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hirakawa</surname>
<given-names>Matthew P.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2128274/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Geiselman</surname>
<given-names>Gina M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2128438/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tran-Gyamfi</surname>
<given-names>Mary B.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Light</surname>
<given-names>Yooli K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2159969/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>George</surname>
<given-names>Anthe</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="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sale</surname>
<given-names>Kenneth L.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/282338/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Biomaterials and Biomanufacturing Department</institution>, <institution>Sandia National Laboratories</institution>, <addr-line>Livermore</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Systems Biology Department</institution>, <institution>Sandia National Laboratories</institution>, <addr-line>Livermore</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Bioresource and Environmental Security Department</institution>, <institution>Sandia National Laboratories</institution>, <addr-line>Livermore</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Computational Biology and Biophysics Department</institution>, <institution>Sandia National Laboratories</institution>, <addr-line>Livermore</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1490798/overview">Daehwan Kim</ext-link>, Hood College, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/312597/overview">Steven D. Karlen</ext-link>, University of Wisconsin-Madison, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/263871/overview">Sandip Kumar Singh</ext-link>, University of Kansas, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Alberto Rodriguez, <email>alberto@lbl.gov</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Biochemical Engineering, a section of the journal Frontiers in Chemical Engineering</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>5</volume>
<elocation-id>1086881</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Rodriguez, Hirakawa, Geiselman, Tran-Gyamfi, Light, George and Sale.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Rodriguez, Hirakawa, Geiselman, Tran-Gyamfi, Light, George and Sale</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>Naturally occurring microbial communities are able to decompose lignocellulosic biomass through the concerted production of a myriad of enzymes that degrade its polymeric components and assimilate the resulting breakdown compounds by members of the community. This process includes the conversion of lignin, the most recalcitrant component of lignocellulosic biomass and historically the most difficult to valorize in the context of a biorefinery. Although several fundamental questions on microbial conversion of lignin remain unanswered, it is known that some fungi and bacteria produce enzymes to break, internalize, and assimilate lignin-derived molecules. The interest in developing efficient biological lignin conversion approaches has led to a better understanding of the types of enzymes and organisms that can act on different types of lignin structures, the depolymerized compounds that can be released, and the products that can be generated through microbial biosynthetic pathways. It has become clear that the discovery and implementation of native or engineered microbial consortia could be a powerful tool to facilitate conversion and valorization of this underutilized polymer. Here we review recent approaches that employ isolated or synthetic microbial communities for lignin conversion to bioproducts, including the development of methods for tracking and predicting the behavior of these consortia, the most significant challenges that have been identified, and the possibilities that remain to be explored in this field.</p>
</abstract>
<kwd-group>
<kwd>lignin</kwd>
<kwd>microbial communities</kwd>
<kwd>synthetic consortia</kwd>
<kwd>biomass valorization</kwd>
<kwd>white-rot fungi</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Lignocellulosic biomass is the most abundant source of renewable carbon on Earth, making it a top candidate for conversion to biofuels and bioproducts as part of the strategies to transition to a sustainable bioeconomy (<xref ref-type="bibr" rid="B65">Rajesh Banu et al., 2021</xref>). This carbon is stored in plants in the form of large, interlinked polymers: cellulose, hemicellulose, and lignin. These polymers have evolved to withstand physical, chemical, and biological degradation, and provide plants with rigidity and resistance to environmental aggressions (<xref ref-type="bibr" rid="B10">Bomble et al., 2017</xref>). Therefore, numerous efforts have been devoted to developing technologies that would enable the cheap, efficient, and sustainable deconstruction and upgrading of lignocellulosic biomass (<xref ref-type="bibr" rid="B30">Hassan et al., 2018</xref>; <xref ref-type="bibr" rid="B9">Bhatia et al., 2020</xref>).</p>
<p>Considerable progress has been made in the last two decades to convert cellulose and hemicellulose to monomeric sugars and ferment them to ethanol or other biofuels (<xref ref-type="bibr" rid="B5">Balan et al., 2013</xref>; <xref ref-type="bibr" rid="B67">Raud et al., 2019</xref>; <xref ref-type="bibr" rid="B71">Saravanan et al., 2022</xref>). Lignin, on the other hand, has proven to be the most recalcitrant component of lignocellulosic biomass. This is due to its heterogeneous chemical structure comprising large chains of phenolic rings interlinked through different types of chemical bonds, resulting in poor solubility in aqueous systems (<xref ref-type="bibr" rid="B50">Li et al., 2016</xref>). Although the relative amounts, chemical composition, and structure of each of the main components is known to be highly variable (<xref ref-type="bibr" rid="B66">Ralph et al., 2019</xref>), lignin valorization has been deemed essential to improve the economics of lignocellulosic refineries (<xref ref-type="bibr" rid="B58">Martinez-Hernandez et al., 2019</xref>).</p>
<p>Thermochemical approaches to lignin depolymerization such as pyrolysis, hydrolysis, gasification, and oxidative or reductive approaches have been effective to produce low molecular weight compounds, usually aromatic compounds (<xref ref-type="bibr" rid="B53">Liu et al., 2020</xref>). However, these procedures typically require high temperature and pressure conditions, which can be costly to implement and difficult to tune in order to obtain high amounts of specific products (<xref ref-type="bibr" rid="B72">Schutyser et al., 2018</xref>). On the other side, biological approaches to depolymerize lignin may be a cost- and energy-effective solution that involves utilizing microorganisms that secrete cocktails of lignin-depolymerizing enzymes (<xref ref-type="bibr" rid="B57">Mart&#xed;nez et al., 2018</xref>; <xref ref-type="bibr" rid="B39">Kamimura et al., 2019</xref>).</p>
<p>Early experiments on biological lignin conversion indicated that the white-rot fungi <italic>Phanerochaete chrysosporium</italic> and <italic>Coriolus versicolor</italic> can degrade <sup>14</sup>C-labeled lignin and convert it to <sup>14</sup>CO<sub>2</sub> (<xref ref-type="bibr" rid="B43">Kirk et al., 1975</xref>). This led to the discovery of the first lignin-degrading enzyme, lignin peroxidase (LiP), an H<sub>2</sub>O<sub>2</sub>-dependent enzyme system that was detected in the extracellular medium of ligninolytic cultures with <italic>P. chrysosporium</italic> (<xref ref-type="bibr" rid="B76">Tien and Kirk, 1983</xref>). Other types of fungal peroxidases include manganese-dependent peroxidase (MnP) and versatile peroxidase (VP) that can work in synergy with LiP, which has a higher redox potential (<xref ref-type="bibr" rid="B57">Mart&#xed;nez et al., 2018</xref>). Some bacteria and fungi also produce dye-decolorizing peroxidases (DyP) with lignin-degrading activity. Although the bacterial DyPs are not efficient at degrading non-phenolic compounds and therefore unlikely to act on most of the native lignin molecule (<xref ref-type="bibr" rid="B52">Linde et al., 2021</xref>), they are proposed to contribute to the degradation of small phenolic compounds released by the attack of fungal enzymes on lignin. Lastly, laccases are known to play an important role in lignin biosynthesis and degradation in nature and are found in fungi, bacteria and plants. Since laccases do not require H<sub>2</sub>O<sub>2</sub> and use oxygen as electron acceptor, they are truly green and industrially attractive enzymes; however, the production and purification of fungal laccases at high concentrations has proven challenging (<xref ref-type="bibr" rid="B49">Leynaud Kieffer Curran et al., 2022</xref>).</p>
<p>Enzymatic lignin-degradation strategies can be combined with biological lignin-valorization strategies that incorporate microbes that have evolved intracellular metabolic pathways for assimilation of lignin fragments produced during depolymerization (<xref ref-type="bibr" rid="B40">Kamimura et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Lee et al., 2019</xref>). The use of microorganisms to funnel an array of depolymerized lignin compounds into selected metabolic intermediates has been explored during the last decade as a potential solution to counter the heterogeneity in depolymerized lignin solutions (<xref ref-type="bibr" rid="B8">Beckham et al., 2016</xref>). Some studies have shown a synergy between lignin-modifying enzymes and bacteria for lignin degradation. For example, cell growth and selective degradation of different functional groups was observed when the bacterium <italic>Rhodococcus opacus</italic> was incubated with lignin in the presence of a laccase (<xref ref-type="bibr" rid="B84">Zhao et al., 2016</xref>). The heterologous expression of a laccase in <italic>Pseudomonas putida</italic> also resulted in improved growth and lignin degradation (<xref ref-type="bibr" rid="B16">Cao et al., 2021</xref>). Regarding substrate conversion capabilities, <italic>R. opacus</italic> was found to consume lower-molecular weight compounds obtained from lignin, such as guaiacol (<xref ref-type="bibr" rid="B68">Ravi et al., 2019</xref>). Similarly, an engineered <italic>Amycolatopsis</italic> sp., strain was also able to consume guaiacol and produce <italic>cis</italic>,<italic>cis</italic>-muconic acid, a precursor of commercial plastics (<xref ref-type="bibr" rid="B6">Barton et al., 2018</xref>). In a separate work, a higher extent of lignin depolymerization was observed when <italic>P. putida</italic> was incubated with a fungal secretome and lignin (<xref ref-type="bibr" rid="B70">Salvachua et al., 2016</xref>). Engineered <italic>P. putida</italic> strains have also been constructed to produce <italic>cis</italic>,<italic>cis</italic>-muconic acid from depolymerized lignin such as catechol and other monomeric aromatics (<xref ref-type="bibr" rid="B44">Kohlstedt et al., 2018</xref>).</p>
<p>Although these developments represent only a few examples of the numerous achievements in microbial conversion of lignin in recent years (<xref ref-type="bibr" rid="B80">Weiland et al., 2022</xref>), some disadvantages have become evident. These include lignin repolymerization by the same enzymes involved in depolymerization, low solubility of lignin and lignin-derived compounds in water, and microbial toxicity caused by the depolymerized compounds (<xref ref-type="bibr" rid="B14">Bugg and Rahmanpour, 2015</xref>; <xref ref-type="bibr" rid="B8">Beckham et al., 2016</xref>). One of the biggest challenges is the difficulty in predicting which compounds can be produced from certain lignins and which of them are amenable to microbial conversion (<xref ref-type="bibr" rid="B20">Davis and Moon, 2020</xref>). In addition, an organism that has been engineered to overproduce a specific metabolite from a lignin-derived substrate will direct less carbon to biosynthetic pathways, which could limit its ability to grow and the productivity of a bioprocess. The metabolic burden of expressing different enzymes required for depolymerization and conversion of multiple lignin-derived compounds in a single organism could also significantly impact the growth rate of the engineered strains and limit their usefulness (<xref ref-type="bibr" rid="B69">Roell et al., 2019</xref>).</p>
<p>The use of microbial communities for valorization of lignocellulose has steadily gained interest as an alternative to overcome some of the current limitations in biological conversion processes because communities exhibit favorable traits such as increased resilience and metabolic diversity, compared to single organisms. However, more research is needed to understand the dynamics and tackle the complexity of systems comprised of a heterogeneous substrate such as lignin and multiple microorganisms. We provide a discussion of recent advances related to the development of lignin valorization processes using microbial consortia in the sections below.</p>
</sec>
<sec id="s2">
<title>Studies on natural microbial consortia</title>
<p>Beneficial relationships of microorganisms in the natural environment have been exploited for agriculture, food, medicine, and bioremediation purposes, with many examples available (<xref ref-type="bibr" rid="B26">Frey-Klett et al., 2011</xref>; <xref ref-type="bibr" rid="B33">Ijoma and Tekere, 2017</xref>). Different aerobic and anaerobic communities containing fungal and bacterial species were found to be able to degrade lignin-derived compounds (<xref ref-type="bibr" rid="B17">Chen et al., 1985a</xref>; <xref ref-type="bibr" rid="B18">1985b</xref>; <xref ref-type="bibr" rid="B38">Jokela et al., 1985</xref>; <xref ref-type="bibr" rid="B77">Tuomela et al., 2000</xref>). Mixed bacterial cultures were also able to degrade lignin, and in some cases, auxiliary activity families and metabolic pathways of aromatic compounds were identified by metagenomic studies (<xref ref-type="bibr" rid="B36">Jim&#xe9;nez et al., 2016</xref>; <xref ref-type="bibr" rid="B74">Silva et al., 2021</xref>).</p>
<p>It has been suggested that bacteria can catabolize low molecular weight compounds produced by fungal lignin depolymerization. However, it remains unclear to what extent bacteria can depolymerize larger compounds, including high molecular mass lignin, and some studies indicate that bacteria have significantly less lignin-degradation ability than fungal systems (<xref ref-type="bibr" rid="B13">Bugg et al., 2011</xref>; <xref ref-type="bibr" rid="B12">Brown and Chang, 2014</xref>). If the prevailing paradigm is that both fungal and bacterial species are required for the complete mineralization of lignin, this means that it should be possible to identify metabolites that can only be consumed by specific members of a community and synergistic interactions that can be exploited to improve the conversion process. However, it remains difficult to draw such conclusions from data in the scientific literature, since variations in the source of lignin, organisms, and cultivation conditions dictate the composition of the resulting community and the extent of lignin depolymerization (<xref ref-type="bibr" rid="B59">Mendes et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Azubuike et al., 2022</xref>). It has been demonstrated that certain microbes can degrade specific C-C and C-O bonds in lignin while also changing the content of H, G, and S lignin moieties (<xref ref-type="bibr" rid="B15">Bugg et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Xu et al., 2022</xref>; <xref ref-type="bibr" rid="B85">Zhu et al., 2022</xref>). Similar in-depth structural characterizations of the effects of treatments with microbial consortia are currently lacking and future structural studies will be critical to progress in the field.</p>
<p>Typically, top-down approaches must be performed when working with natural consortia to narrow down the diversity of organisms and conversion pathways, as well as identifying community members that promote high lignin conversion (<xref ref-type="bibr" rid="B63">Puentes-Tellez and Falcao Salles, 2018</xref>; <xref ref-type="bibr" rid="B28">Gilmore et al., 2019</xref>). For example, <xref ref-type="bibr" rid="B25">Fang et al. (2018)</xref> performed enrichment of microbial consortia isolated from rotten wood by screening for microbes that can degrade guaiacol and a sequential transferring of the cultures to medium containing tree trimmings, which led to the isolation of a community able to degrade up to 28% of the lignin in the biomass. Complementary approaches such as &#x201c;dilution-to-extinction&#x201d; have also been applied to identify species in minimal active consortia for lignocellulose conversion (<xref ref-type="bibr" rid="B22">Diaz-Rodriguez et al., 2022</xref>). For comparison purposes, <xref ref-type="table" rid="T1">Table 1</xref> lists the most prevalent microorganisms in consortia with high reported degrees of lignin conversion. A strong appeal of studying natural consortia is the possibility of discovering novel genes and organisms that can be used to rationally design pathways for degradation and utilization of lignin (<xref ref-type="bibr" rid="B61">Moraes et al., 2018</xref>; <xref ref-type="bibr" rid="B23">D&#xed;az-Garc&#xed;a et al., 2020</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Most abundant organisms present in microbial consortia with reported lignin conversion capabilities.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Microbial genera or species</th>
<th align="left">Biomass/lignin type</th>
<th align="left">% lignin conversion</th>
<th align="left">Products detected</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>Anaerocolumna, Thauera, Pseudomonas</italic>
</td>
<td align="left">Rice straw</td>
<td align="left">30%</td>
<td align="left">Cell biomass (OD &#x3d; 0.95)</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Xu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Achromobacteri, Paenarthrobacter, Pseudaminobacteri, Paenibacillus, Candida, Rhodosporidium, Trichosporon</italic>
</td>
<td align="left">Low molecular weight lignin from sugarcane bagasse</td>
<td align="left">Consumption of low molecular weight components</td>
<td align="left">Cell biomass (OD &#x3d; 1.4) from organic acids, glycerol, hydroxycinnamic acids, sugars</td>
<td align="left">
<xref ref-type="bibr" rid="B61">Moraes et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Saccharomycetales, Shinella, Cupriavidus, Bosea</italic>
</td>
<td align="left">Alkali lignin</td>
<td align="left">54%</td>
<td align="left">2-methoxy-4-vinylphenol, 2,3-dimethoxy-benzenebutyric acid, 2-ethylhexanoic acid, octadecanoic acid</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Zhang et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Stenotrophomonas maltophilia, Paenibacillus</italic> sp.<italic>, Microbacterium</italic> sp.<italic>, Chryseobacterium taiwanense, Brevundimonas</italic> sp.</td>
<td align="left">Sugarcane bagasse, sugarcane straw</td>
<td align="left">44%</td>
<td align="left">Not reported</td>
<td align="left">
<xref ref-type="bibr" rid="B63">Puentes-Tellez and Falcao Salles, (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Mesorhizobium, Cellulosimicrobium, Pandoraea, Achromobacter, Stenotrophomones</italic>
</td>
<td align="left">Tree trimmings</td>
<td align="left">28%</td>
<td align="left">Cell biomass (OD &#x3d; 0.9)</td>
<td align="left">
<xref ref-type="bibr" rid="B25">Fang et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Sulfuricurvum, Clostridium, Treponema, Chytridiomycota, Rozellomycota</italic>
</td>
<td align="left">Reed (<italic>Phragmites australis</italic>)</td>
<td align="left">28%</td>
<td align="left">Not reported</td>
<td align="left">
<xref ref-type="bibr" rid="B75">Song et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Micrococcus, Citrobacter, Exiguobacterium, Klebsiella, Lactococcus, Vanrija, Sugiyamaella</italic>
</td>
<td align="left">Softwood sawdust</td>
<td align="left">57%</td>
<td align="left">Methane (after anerobic digestion) (180&#xa0;L per kg of volatile solids)</td>
<td align="left">
<xref ref-type="bibr" rid="B2">Ali et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Clostridiales, Geovibrio, Desulfomicrobium, Pseudomonas, Azoarcus, Thauera, Paenibacillus, Cohnella, Acinetobacter, Microbacterium</italic>
</td>
<td align="left">Reed straw</td>
<td align="left">61%</td>
<td align="left">Not reported</td>
<td align="left">
<xref ref-type="bibr" rid="B79">Wang et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Alcaligenes, Pseudomonadales, Bacteroidales, Clostridium</italic>
</td>
<td align="left">Wheat straw</td>
<td align="left">41%</td>
<td align="left">Acetic acid (2.82&#xa0;g/L), propanoic acid (0.84&#xa0;g/L), butanoic acid (1.67&#xa0;g/L), glycerol (0.83&#xa0;g/L)</td>
<td align="left">
<xref ref-type="bibr" rid="B32">Hui et al. (2013)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>One important point of discussion is the feasibility of using natural communities to not just deconstruct but valorize lignin. Although they represent an untapped resource of enzymes and metabolic reactions, the added complexity of promoting carbon conversion to specific bioproducts is still an important barrier to overcome. For example, the number of organisms that interact in a specific ecosystem can be extremely large, and not all organisms can be cultivated in laboratory conditions. Moreover, only a small fraction of those that can be cultivated will have genetic engineering tools available, making it difficult to promote conversion of lignin-derived compounds into defined products. In this regard, anaerobic communities isolated from the rumen of herbivores have been found to degrade lignin in lignocellulosic substrates and convert it to methane (<xref ref-type="bibr" rid="B1">Ahring et al., 2015</xref>), expanding the possibilities for implementing lignin conversion processes with mixtures of anaerobic organisms (<xref ref-type="bibr" rid="B62">Podolsky et al., 2019</xref>). Although anaerobic digestion has the potential to improve the economics of a biorefinery, the extent of lignin degradation under these conditions remains low and, unless converted, lignin will have a negative impact on the process (<xref ref-type="bibr" rid="B3">Ali et al., 2018</xref>). Improvements in this area may require the implementation of oxidative pretreatment approaches (<xref ref-type="bibr" rid="B42">Khan and Ahring, 2019</xref>) coupled with efficient lignolytic consortia that include more specialized organisms with potentially impactful bioconversion capabilities (<xref ref-type="bibr" rid="B54">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B46">Lankiewicz et al., 2022</xref>).</p>
</sec>
<sec id="s3">
<title>Studies on synthetic or engineered consortia</title>
<p>Although the use of natural communities is a promising approach to degrade complex substrates, the stability and behavior of members of the community could be difficult to control. This has encouraged biologists to leverage systems-level knowledge on natural communities to assemble defined consortia of organisms using bottom-up approaches, which sacrifices diversity for a higher degree of control and the ability to perform specific tasks more efficiently (<xref ref-type="bibr" rid="B51">Lin 2022</xref>). Some examples of engineered communities for production of value-added compounds from lignocellulosic biomass involve the production of butanol from hemicellulose (<xref ref-type="bibr" rid="B35">Jiang et al., 2020</xref>), isobutanol from cellulose (<xref ref-type="bibr" rid="B60">Minty et al., 2013</xref>), and butyric acid from cellulose (<xref ref-type="bibr" rid="B73">Shahab et al., 2020</xref>). A multi-species consortium has also been used to consume not just the lignocellulosic substrates present in hydrolysates but also compounds that can be toxic to some species (<xref ref-type="bibr" rid="B47">Lee et al., 2021</xref>).</p>
<p>These examples highlight the value of using engineered consortia to produce biofuels and bioproducts; however, their specific application to lignin conversion is still an uncharted territory. One research group focused on building 65 synthetic communities with combinations of 18 strains found in a native consortium, to evaluate their potential to degrade polymeric sugars and lignin when fed with raw biomass (<xref ref-type="bibr" rid="B63">Puentes-Tellez and Falcao Salles, 2018</xref>). The authors found synergies and demonstrated that a minimal community of 5 organisms was able to degrade up to 44% of the lignin in the biomass. In a different work, synthetic bacterial-fungal consortia have been found to be capable of deconstructing and growing on wheat straw biomass (<xref ref-type="bibr" rid="B78">Wang et al., 2021</xref>). However, the microbial activity was determined as function of the total substrate weight loss and not the specific degree of lignin conversion, which can be difficult to measure accurately.</p>
<p>Several challenges need to be addressed to achieve microbial community-based lignin conversion to bioproducts. Firstly, different species of known degraders (i.e., bacteria and fungi) have different growth and substrate consumption rates, which are crucial parameters in a bioprocess. The reaction conditions (pH, temperature, media components) required for optimal growth or enzymatic lignin depolymerization could be vastly different for each organism or enzyme (<xref ref-type="bibr" rid="B34">Janusz et al., 2017</xref>), resulting in members of the community with compromised activity or stability. Another hurdle is the differential consumption of substrates and intermediates from members of the community and the difficulty of mapping and controlling these carbon fluxes. It is also difficult to predict the type of relationship that can exist if two or more species are cultivated together and recognize when antagonistic interactions may be present (<xref ref-type="bibr" rid="B37">Jimenez et al., 2020</xref>). One way to approach these issues could be to design a synthetic community where the tasks related to converting lignin to a bioproduct are divided among the members. One can envision this concept with organisms called cutters, likely white-rot fungi, which deconstruct lignin into smaller fragments that are captured by a scavenger, likely a bacterium or yeast (<xref ref-type="fig" rid="F1">Figure 1</xref>). Synergism in lignin depolymerization and increased ligninase activity has been observed in co-cultures of white-rot fungi (<xref ref-type="bibr" rid="B19">Cui et al., 2021</xref>), signaling that fungal treatment <italic>via</italic> strong enzymes such as LiP, MnP, and VP could be a reasonable first step in the process. Bacteria or yeasts can then potentially contribute to the degradation of small oligomers with the help of etherases, laccases, DyP, and other oxidases and auxiliary enzymes (<xref ref-type="bibr" rid="B15">Bugg et al., 2020</xref>; <xref ref-type="bibr" rid="B64">Putra et al., 2022</xref>). Considering that microbes have the ability to scavenge different types of compounds, it should be possible to evaluate the performance of different organisms in a consortium to funnel lignin-derived compounds to specific metabolites. A database of microbial lignin catabolism such as eLignin could be an important resource when selecting scavengers for conversion experiments (<xref ref-type="bibr" rid="B11">Brink et al., 2019</xref>). Success in this task would allow for the introduction of specialized organisms (&#x201c;manufacturers&#x201d;) that are easy to engineer and can convert one or more of these secreted metabolites into a higher value bioproduct without the need to harbor lignin assimilation pathways.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>A concept for building a synthetic microbial community for conversion of lignin to valuable products. Cutters represent fungi that secrete lignin degrading enzymes, scavengers represent microbes that catabolize lignin fragments and potentially convert them to a shareable intermediate, and manufacturers represent engineered hosts that convert either lignin fragments or a shared intermediate to bioproducts. The arrow at the bottom depicts hurdles that may be present at various stages of the conversion process.</p>
</caption>
<graphic xlink:href="fceng-05-1086881-g001.tif"/>
</fig>
</sec>
<sec id="s4">
<title>Simulation and optimization of synthetic communities</title>
<p>An important topic when utilizing synthetic communities is the development of tools and methods to guide their rational design, testing, and optimization, which involves considering the complexities of the interactions among community members that influence properties such as stability and productivity. It is evident that new developments in these areas will have an impact beyond lignin conversion, and methods for monitoring and predicting the dynamics of microbial communities have recently been published. For example, programmable interactions between organisms have been created using synthetic gene circuits (<xref ref-type="bibr" rid="B45">Kong et al., 2018</xref>). A pipeline to select organisms based on meta-data analysis of their microbial physiologies and subsequent screening has been reported for the production of biohydrogen (<xref ref-type="bibr" rid="B24">Ergal et al., 2021</xref>). Another work describes a high-throughput phenotypic screening using a droplets-based platform to rapidly assemble variable microbial communities (<xref ref-type="bibr" rid="B41">Kehe et al., 2019</xref>). Immobilization of community members as shown by <xref ref-type="bibr" rid="B31">Huang et al. (2019)</xref> can tackle some of the challenges associated with stability and toxicity. Finally, molecular methods that allow for systematic screening of lignin-related enzymes and products such as biosensors could be key to the discovery and implementation of robust microbial consortia (<xref ref-type="bibr" rid="B29">Gon&#xe7;alves et al., 2020</xref>).</p>
<p>One of the areas with highest potential impact are studies on the structure of communities enriched on lignin and the interaction of their members. However, the development of consensus communities and consensus interactions among members can be difficult to understand because 1) the relationships between species (mutualism, commensalism, or facultative symbioses) are difficult to determine, and 2) interacting does not necessarily mean cause and effect. To this end, <italic>in silico</italic> simulation approaches provide a means for describing, understanding, and optimizing microbial systems in diverse environments. Approaches using individual-based modeling (IBM) in which microbes and their interactions are defined, and the temporal-spatial evolution of the system is simulated, are becoming increasingly powerful. For example, BacArena models individual microbes using flux-balance analysis and simulates their interactions and community evolution using IBM. This approach has been used to obtain insights into <italic>Pseudomonas aeruginosa</italic> biofilm formation and a seven species community of the human gut (<xref ref-type="bibr" rid="B7">Bauer et al., 2017</xref>). <xref ref-type="bibr" rid="B56">Martin et al. (2012)</xref>, integrated Dynamic Energy Budget (DEB) theory into IBM to enable exploration of the evolution and dynamics of both individual microbes and their community as a function of the set of DEB parameters of each species and their interactions with their environment (<xref ref-type="bibr" rid="B55">Martin et al., 2013</xref>; <xref ref-type="bibr" rid="B27">Garc&#xed;a-Jim&#xe9;nez et al., 2021</xref>). Applying these IBM approaches to lignin-associated microbial communities may be an effective strategy towards optimizing synthetic microbial consortia for lignin valorization.</p>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>In this article we argue that the isolation, enrichment, and <italic>de novo</italic> design of microbial communities can provide solutions to some of the issues associated with the structural diversity and recalcitrance of lignin for valorization purposes. While there are many publications on the use of microbial consortia for lignocellulose conversion, there are fewer reports on the use of natural or engineered consortia strictly for lignin conversion. This alone indicates significant challenges to obtain efficient processes for the microbial conversion of lignin, such as limitations in methods and tools available for systematically assembling and assessing microbial communities.</p>
<p>From the examples discussed here, it is evident that considerable progress has been made in terms of proving that microbial conversion of lignin is a feasible approach. Nevertheless, the different temporality in lignin breakdown (mostly performed by slow-growing fungi) and assimilation (ideally performed by fast growing bacteria) could be one of the main hurdles to overcome when testing and designing a bioprocess. For example, if one organism is engineered to achieve high yields of a product, its ability to grow efficiently in a challenging environment may be negatively impacted. In order to maximize carbon assimilation and conversion of lignin-derived compounds to a high-value product by a specific organism, it may be desirable to have organisms that do not consume the depolymerized fragments, which can prove challenging given their scavenging nature and diverse metabolism (<xref ref-type="bibr" rid="B21">del Cerro et al., 2021</xref>). This would add the requirement of having an additional carbon source for those &#x201c;cutter&#x201d; organisms and possibly use genetic engineering to inactivate some of their natural assimilation pathways. Therefore, biorefinery streams that are lignin-rich but also contain traces of sugars and other assimilable components could be a more compelling substrate than high purity lignins.</p>
<p>Finally, if multiple species of fungi are included in a consortium, it may be necessary to perform compatibility assays due to the known extensive secretion of potentially toxic metabolites and enzymes. Depending on the application, it will also be necessary to differentiate between a community that is able to share a number of metabolic intermediates and a co-culture of organisms where different species individually convert a substrate to different products. Considering the rising interest from the scientific community on the biological valorization of lignin and the important progress reported in recent years, we are confident that these hurdles will be overcome.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Author contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This research was supported by a Laboratory Directed Research and Development grant from Sandia National Laboratories with contract number 20-0590. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly-owned subsidiary of Honeywell International, Inc., for the United States Department of Energy&#x2019;s National Nuclear Security Administration under contract DE-NA0003525. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the United States Department of Energy or the United States Government.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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 sec-type="disclaimer" id="s9">
<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>
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