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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<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.2018.00364</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Substrate Shift Reveals Roles for Members of Bacterial Consortia in Degradation of Plant Cell Wall Polymers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Carlos</surname> <given-names>Camila</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="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/473596/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fan</surname> <given-names>Huan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/512184/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Currie</surname> <given-names>Cameron R.</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="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/484384/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Bacteriology, University of Wisconsin&#x2013;Madison</institution>, <addr-line>Madison, WI</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>U.S. Department of Energy, Great Lakes Bioenergy Research Center, University of Wisconsin&#x2013;Madison</institution>, <addr-line>Madison, WI</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Graeme W. Nicol, Universit&#x00E9; de Lyon, France</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Manuel Kleiner, North Carolina State University, United States; Patrick K. H. Lee, City University of Hong Kong, Hong Kong</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Camila Carlos, <email>camilacarlos@gmail.com</email> Cameron R. Currie, <email>currie@bact.wisc.edu</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Terrestrial Microbiology, a section of the journal Frontiers in Microbiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>03</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<year>2018</year>
</pub-date>
<volume>9</volume>
<elocation-id>364</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>09</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>02</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018 Carlos, Fan and Currie.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Carlos, Fan and Currie</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 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>Deconstructing the intricate matrix of cellulose, hemicellulose, and lignin poses a major challenge in biofuel production. In diverse environments in nature, some microbial communities, are able to overcome plant biomass recalcitrance. Identifying key degraders of each component of plant cell wall can help improve biological degradation of plant feedstock. Here, we sequenced the metagenome of lignocellulose-adapted microbial consortia sub-cultured on xylan and alkali lignin media. We observed a drastic shift on community composition after sub-culturing, independently of the original consortia. Proteobacteria relative abundance increased after growth in alkali lignin medium, while Bacteroidetes abundance increased after growth in xylan medium. At the genus level, <italic>Pseudomonas</italic> was more abundant in the communities growing on alkali lignin, <italic>Sphingobacterium</italic> in the communities growing on xylan and <italic>Cellulomonas</italic> abundance was the highest in the original microbial consortia. We also observed functional convergence of microbial communities after incubation in alkali lignin, due to an enrichment of genes involved in benzoate degradation and catechol ortho-cleavage pathways. Our results represent an important step toward the elucidation of key members of microbial communities on lignocellulose degradation and may aide the design of novel lignocellulolytic microbial consortia that are able to efficiently degrade plant cell wall polymers.</p>
</abstract>
<kwd-group>
<kwd>microbial enrichment</kwd>
<kwd>lignocellulose</kwd>
<kwd>xylan</kwd>
<kwd>lignin</kwd>
<kwd><italic>Pseudomonas</italic></kwd>
<kwd><italic>Sphingobacterium</italic></kwd>
</kwd-group>
<contract-num rid="cn001">BER DE-FC02-07ER64494</contract-num>
<contract-sponsor id="cn001">U.S. Department of Energy<named-content content-type="fundref-id">10.13039/100000015</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="10"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Plant biomass is renewable and rich in energy, and as such, is a promising fuel alternative to fossil fuels (<xref ref-type="bibr" rid="B14">Goldemberg, 2009</xref>; <xref ref-type="bibr" rid="B31">Liao et al., 2016</xref>). However, low efficient plant cell wall deconstruction is a major barrier for economically viable biofuel production (<xref ref-type="bibr" rid="B23">Klein-Marcuschamer and Blanch, 2015</xref>). Plant cell walls are composed of a matrix of heteropolymers (i.e., cellulose, hemicellulose, and lignin) that are physically structured to prevent enzymatic breakdown. Commonly, a chemical and/or physical pretreatment of lignocellulosic material is applied to make cellulose accessible to hydrolytic enzymes through the solubilization of hemicelluloses and/or lignin (<xref ref-type="bibr" rid="B39">Mosier et al., 2005</xref>).</p>
<p>Natural or engineered microbial consortia are a promising approach to overcoming plant biomass recalcitrance, because of their ability to extract the majority of the energy from plant polymers in nature (<xref ref-type="bibr" rid="B50">Wei et al., 2009</xref>; <xref ref-type="bibr" rid="B13">Gessner et al., 2010</xref>; <xref ref-type="bibr" rid="B28">Lewin et al., 2016</xref>). The enzymatic degradation of plant material depends on multiple biomass-degrading enzymes, with complementary and synergistic activities, which are secreted by various species of micro-organisms (<xref ref-type="bibr" rid="B2">Allgaier et al., 2010</xref>; <xref ref-type="bibr" rid="B9">DeAngelis et al., 2010</xref>; <xref ref-type="bibr" rid="B7">Cragg et al., 2015</xref>; <xref ref-type="bibr" rid="B27">Lemos et al., 2017</xref>). Microbial enrichment in specific lignocellulose material is a common approach to obtain efficient and simple microbial assemblages that are able to degrade plant cell wall components (<xref ref-type="bibr" rid="B8">de Lima Brossi et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Jim&#x00E9;nez et al., 2016</xref>; <xref ref-type="bibr" rid="B24">Korenblum et al., 2016</xref>; <xref ref-type="bibr" rid="B35">Maruthamuthu et al., 2016</xref>; <xref ref-type="bibr" rid="B37">Mello et al., 2016</xref>). Cellulose-degrading consortia have been obtained from leaf-cutter ant refuse dumps (<xref ref-type="bibr" rid="B28">Lewin et al., 2016</xref>), and mixtures of plant material and chicken feces (<xref ref-type="bibr" rid="B16">Haruta et al., 2002</xref>). Lignin-degrading consortia have been obtained from wetland (<xref ref-type="bibr" rid="B49">Wang et al., 2013</xref>), rice paddy field soil (<xref ref-type="bibr" rid="B22">Kato et al., 2015</xref>), and redwood compost (<xref ref-type="bibr" rid="B4">Ceballos et al., 2017</xref>). When compared to the environmental inoculum, the enrichment derived consortia show reduced diversity, as a result of the limited number of ecological niches and selection toward more efficient degraders (<xref ref-type="bibr" rid="B20">Jim&#x00E9;nez et al., 2017</xref>). The taxonomic and functional composition of lignocellulolytic microbial consortia are mainly influenced by the community in the environmental inoculum, and the substrate used for the enrichment (<xref ref-type="bibr" rid="B6">Cortes-Tolalpa et al., 2016</xref>; <xref ref-type="bibr" rid="B8">de Lima Brossi et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Wong et al., 2016</xref>). For example, <xref ref-type="bibr" rid="B52">Wong et al. (2016)</xref> compared microbial enrichments derived from beaver dropping and moose rumen and found that the substrate is a major driver of the microbial consortia composition. <xref ref-type="bibr" rid="B19">Jim&#x00E9;nez et al. (2016)</xref> used forest soil as an inoculum and also found distinct taxonomic composition in bacterial communities enriched in wheat straw, switchgrass and corn stover, but with similar profiles of carbohydrate-active enzyme families. Interestingly, in these studies, even after several batch cultures, the resulting microbial consortia still presented dozens of bacterial species. In plant biomass degradation, coexistence of several microbial species is possible as different members of a consortium occupy different niches, i.e., have different carbon source preferences (<xref ref-type="bibr" rid="B20">Jim&#x00E9;nez et al., 2017</xref>).</p>
<p>In this study, we aimed to identify members of microbial consortia that have specific preferences for two major components of plant cell wall, xylan and lignin. Eight plant biomass-degrading microbial consortia were subcultured in minimal medium with xylan or alkali lignin as the sole carbon source. Deep metagenomics sequencing of these communities revealed changes in the abundance of distinct bacterial members in response to xylan and lignin-derived compounds. Furthermore, we identified metabolic pathways that were enriched after the substrate shifting.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Enrichment Cultures</title>
<p>Three chicken feces and five soil samples were aseptically collected in DeForest, WI (N 43.204365, W -89.283446) in September 28, 2015 and stored at 4&#x00B0;C for 1 day until inoculation (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Samples were collected around 5 m from each other. Each sample was homogenized with sterile phosphate-buffered saline (PBS) and 10 &#x03BC;L of the solution was inoculated in 5 mL of autoclaved minimal medium with 0.025 g of poplar wood chips (size &#x003C; 1 mm) or 1 cm &#x00D7; 10 cm strip of Whatman #1 filter paper. M63 minimal medium was used, containing 61.5 mM potassium phosphate, 38.5 mM potassium phosphate monobasic, 15.1 mM ammonium sulfate, 0.5 mg/L of iron sulfate, 1 mM magnesium sulfate solution, 1 mg/L of thiamine, and 5 mL/L of SPV-4 trace elements solution (<xref ref-type="bibr" rid="B48">Voelskow, 1988</xref>). Consortia were grown at 30&#x00B0;C at 250 rpm. After 7 days samples were vortexed, and 50 &#x03BC;L from each was transferred into tubes containing 5 mL of sterile M63 medium with one enrichment substrate (filter paper or wood chips). After 24 passages, these consortia were centrifuged at 12,000 <italic>g</italic> for 5 min and the pellets were stored at -80&#x00B0;C until DNA extraction. Two microliter of these consortia were inoculated to 3 mL of autoclaved M63 medium containing 5% (w/v) of beechwood xylan (Megazyme) or alkali lignin with low sulfonate content (Sigma-Aldrich) and incubated at 30&#x00B0;C at 250 rpm for 7 days. Cultures were centrifuged at 12,000 <italic>g</italic> for 5 min and the pellets were maintained at -80&#x00B0;C until DNA extraction.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Description of the metagenomic samples used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Sample name</th>
<th valign="top" align="left">Treatment</th>
<th valign="top" align="left">Inoculum</th>
<th valign="top" align="left">Enrichment substrate</th>
<th valign="top" align="center">Total number of reads passed QC</th>
<th valign="top" align="center">Total number of bases in contigs</th>
<th valign="top" align="center">Total gene count</th>
<th valign="top" align="center">IMG ID</th>
<th valign="top" align="center">IMG Name</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">S1</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">14,071,782</td>
<td valign="top" align="center">70,033,963</td>
<td valign="top" align="center">95,832</td>
<td valign="top" align="center">3300012821</td>
<td valign="top" align="center">DID2877_E24</td>
</tr>
<tr>
<td valign="top" align="left">S1.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">13,863,076</td>
<td valign="top" align="center">61,021,420</td>
<td valign="top" align="center">80,653</td>
<td valign="top" align="center">3300012804</td>
<td valign="top" align="center">DID2877_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">S1.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">13,206,130</td>
<td valign="top" align="center">66,984,622</td>
<td valign="top" align="center">80,990</td>
<td valign="top" align="center">3300012811</td>
<td valign="top" align="center">DID2877_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">S2</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">15,279,458</td>
<td valign="top" align="center">78,306,800</td>
<td valign="top" align="center">112,814</td>
<td valign="top" align="center">3300012799</td>
<td valign="top" align="center">DID2878_E24</td>
</tr>
<tr>
<td valign="top" align="left">S2.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">16,388,664</td>
<td valign="top" align="center">80,882,717</td>
<td valign="top" align="center">107,226</td>
<td valign="top" align="center">3300012801</td>
<td valign="top" align="center">DID2878_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">S2.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">17,105,142</td>
<td valign="top" align="center">54,474,056</td>
<td valign="top" align="center">77,518</td>
<td valign="top" align="center">3300012796</td>
<td valign="top" align="center">DID2878_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">C3</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">14,985,520</td>
<td valign="top" align="center">152,610,958</td>
<td valign="top" align="center">224,072</td>
<td valign="top" align="center">3300012862</td>
<td valign="top" align="center">DID2937_E24</td>
</tr>
<tr>
<td valign="top" align="left">C3.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">15,514,838</td>
<td valign="top" align="center">102,584,925</td>
<td valign="top" align="center">137,408</td>
<td valign="top" align="center">3300012840</td>
<td valign="top" align="center">DID2937_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">C3.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">16,445,174</td>
<td valign="top" align="center">226,810,859</td>
<td valign="top" align="center">337,114</td>
<td valign="top" align="center">3300012879</td>
<td valign="top" align="center">DID2937_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">C1</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">14,249,310</td>
<td valign="top" align="center">87,284,368</td>
<td valign="top" align="center">112,117</td>
<td valign="top" align="center">3300012810</td>
<td valign="top" align="center">DID2882_E24</td>
</tr>
<tr>
<td valign="top" align="left">C1.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">13,511,478</td>
<td valign="top" align="center">63,445,060</td>
<td valign="top" align="center">87,862</td>
<td valign="top" align="center">3300012800</td>
<td valign="top" align="center">DID2882_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">C1.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">12,633,900</td>
<td valign="top" align="center">72,633,020</td>
<td valign="top" align="center">96,433</td>
<td valign="top" align="center">3300012802</td>
<td valign="top" align="center">DID2882_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">C2</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">16,753,258</td>
<td valign="top" align="center">47,006,209</td>
<td valign="top" align="center">57,079</td>
<td valign="top" align="center">3300012823</td>
<td valign="top" align="center">DID2898_E24</td>
</tr>
<tr>
<td valign="top" align="left">C2.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">15,495,898</td>
<td valign="top" align="center">57,746,371</td>
<td valign="top" align="center">80,856</td>
<td valign="top" align="center">3300012817</td>
<td valign="top" align="center">DID2898_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">C2.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Chicken feces</td>
<td valign="top" align="left">Filter paper</td>
<td valign="top" align="center">16,400,218</td>
<td valign="top" align="center">48,127,918</td>
<td valign="top" align="center">70,168</td>
<td valign="top" align="center">3300012797</td>
<td valign="top" align="center">DID2898_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">S3</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">16,445,174</td>
<td valign="top" align="center">7,592,135</td>
<td valign="top" align="center">9,196</td>
<td valign="top" align="center">3300012789</td>
<td valign="top" align="center">DID2925_E24</td>
</tr>
<tr>
<td valign="top" align="left">S3.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">7,817,840</td>
<td valign="top" align="center">10,282,172</td>
<td valign="top" align="center">15,310</td>
<td valign="top" align="center">3300012792</td>
<td valign="top" align="center">DID2925_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">S3.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">8,087,312</td>
<td valign="top" align="center">10,926,255</td>
<td valign="top" align="center">12,253</td>
<td valign="top" align="center">3300012791</td>
<td valign="top" align="center">DID2925_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">S4</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">16,388,570</td>
<td valign="top" align="center">108,195,268</td>
<td valign="top" align="center">141,668</td>
<td valign="top" align="center">3300012842</td>
<td valign="top" align="center">DID2933_E24</td>
</tr>
<tr>
<td valign="top" align="left">S4.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">23,490,534</td>
<td valign="top" align="center">92,910,293</td>
<td valign="top" align="center">128,456</td>
<td valign="top" align="center">3300012833</td>
<td valign="top" align="center">DID2933_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">S4.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">13,402,340</td>
<td valign="top" align="center">70,611,347</td>
<td valign="top" align="center">89,703</td>
<td valign="top" align="center">3300012808</td>
<td valign="top" align="center">DID2933_E24_Xylan</td>
</tr>
<tr>
<td valign="top" align="left">S5</td>
<td valign="top" align="left">Original</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">13,830,936</td>
<td valign="top" align="center">135,709,802</td>
<td valign="top" align="center">199,758</td>
<td valign="top" align="center">3300012859</td>
<td valign="top" align="center">DID2934_E24</td>
</tr>
<tr>
<td valign="top" align="left">S5.Lig</td>
<td valign="top" align="left">Lignin</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">9,743,042</td>
<td valign="top" align="center">67,969,669</td>
<td valign="top" align="center">112,711</td>
<td valign="top" align="center">3300012822</td>
<td valign="top" align="center">DID2934_E24_Lignin</td>
</tr>
<tr>
<td valign="top" align="left">S5.Xyl</td>
<td valign="top" align="left">Xylan</td>
<td valign="top" align="left">Soil</td>
<td valign="top" align="left">Wood chips</td>
<td valign="top" align="center">15,354,958</td>
<td valign="top" align="center">90,451,188</td>
<td valign="top" align="center">125,640</td>
<td valign="top" align="center">3300012830</td>
<td valign="top" align="center">DID2934_E24_Xylan</td></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Metagenome DNA Extraction Sequencing, Assembly, and Annotation</title>
<p>Metagenomic DNA was extracted using the PowerSoil<sup>&#x00AE;</sup> DNA Isolation Kit (Mo Bio, Carlsbad, CA, United States) following the manufacturer instructions. The DNA was quantified using a Qubit Kit (Invitrogen, Carlsbad, CA, United States), and the integrity was confirmed by 1% agarose gel electrophoresis. DNA yields are shown in Supplementary Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>. Metagenomic library construction and sequencing were carried out at the Joint Genome Institute<sup><xref ref-type="fn" rid="fn01">1</xref></sup> using the Illumina HiSeq-2500 platform (2 &#x00D7; 150 bp). Read ends were trimmed to a minimum quality score of 12 and filtered to have a maximum of three ambiguous bases and a minimum length of 51. Trimmed and filtered paired-end reads were assembled using the Megahit assembler (<xref ref-type="bibr" rid="B29">Li D. et al., 2016</xref>) with the default setting except the following option:&#x201C;&#x2013;k-list 23,43,63,83,103,123.&#x201D; Functional annotation and taxonomic classification were performed using the Integrated Microbial Genomes pipeline (<xref ref-type="bibr" rid="B5">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B17">Huntemann et al., 2016</xref>). The assembled metagenomes were deposited in the NCBI whole genome sequence (WGS) as BioProject <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PRJNA422409">PRJNA422409</ext-link>.</p>
</sec>
<sec><title>Statistical and Bioinformatics Analyses</title>
<p>KEGG Orthologous (KO) distributions were normalized as counts per million reads (CPMR) calculated as (<italic>R</italic>/<italic>N</italic>)<sup>&#x2217;</sup>10<sup>6</sup>, where <italic>R</italic> is the number of mapped reads to a gene and <italic>N</italic> is the total number of reads of that sample. One-way analysis of similarity (ANOSIM) and principal coordinates analysis (PCoA), using Morisita index, were performed with PAST software version 3.15<sup><xref ref-type="fn" rid="fn02">2</xref></sup>. The significance of the relative abundance difference in KO was performed using Kruskal&#x2013;Wallis and multiple test correction via Benjamini and Hochberg false discovery rate, which are implemented in the STAMP software version 2.1.3<sup><xref ref-type="fn" rid="fn03">3</xref></sup>. Relative abundance of bacterial genera in each sample was obtained by dividing the number of reads mapped to all the contigs classified to a genus by the total number of reads in each sample. ANOVA was used to test whether there are significant differences between the relative abundance of bacterial genera from those consortia. Contigs were assigned to the last common ancestor where at least 30% of the genes had USEARCH hits (<xref ref-type="bibr" rid="B17">Huntemann et al., 2016</xref>). Only contigs with 10 or more genes were used for this analysis. A network of association between bacterial genera and samples was visualized using Cytoscape v3.0 software.</p>
</sec>
<sec><title>Cluster Analysis Based on <italic>k</italic>-mer Composition of Each Sample</title>
<p>In order to understand the relative similarities among the metagenomic datasets, we looked at the <italic>k</italic>-mer (short DNA strands with <italic>k</italic> base pairs) composition of each sample. We fed the contigs into a <italic>k</italic>-mer composition analysis pipeline, the AAF package (<xref ref-type="bibr" rid="B11">Fan et al., 2015</xref>). The distances used for clustering by the AAF package are the dissimilarities derived from the proportion of unique <italic>k</italic>-mers that are shared between each pair of samples. The parameters we used were <italic>k</italic> = 23 (the length of the <italic>k</italic>-mers) and <italic>n</italic> = 1 (minimum frequency of each <italic>k</italic>-mer to be considered present). <italic>k</italic> should be long enough to overcome the problem of homoplasy. We tested different <italic>k</italic> until the topology stabilized at 23. The minimum frequency is designed to filter out <italic>k</italic>-mers calculated from raw reads containing sequencing errors, which are usually less frequent than average sequencing depth. Because <italic>k</italic>-mers were calculated from assemblies in our case, <italic>n</italic> is set to 1, therefore no <italic>k</italic>-mer was filtered out.</p>
<p>We also looked at the Average Nucleotide Identity (ANI) between the assemblies of different metagenomic datasets, and used the dissimilarities (1-ANI) for the same type clustering analysis. ANI was calculated using pyani (<xref ref-type="bibr" rid="B40">Pritchard et al., 2016</xref>) with MUMmer (<xref ref-type="bibr" rid="B26">Kurtz et al., 2004</xref>) as the sequence aligner.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Taxonomic Affiliation of Contigs and Single-Copy Genes</title>
<p>The 24 microbial consortia (eight original enrichments, eight subcultures in xylan, and eight subcultures in alkali lignin) were sequenced and a total of 52 Gb of high quality reads were obtained (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). To identify the most abundant microorganisms growing on each carbon source, we used coverage information associated with the contigs classified by IMG to genus level (<xref ref-type="bibr" rid="B34">Markowitz et al., 2013</xref>). <bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold> shows the relative abundance of each genus for the 20 most abundant genera found across the microbial consortia. In average, the relative abundance of <italic>Pseudomonas</italic> was higher after growth in alkali lignin medium than in the original consortia (ANOVA, <italic>F</italic> = 9.893, <italic>p</italic> = 0.007). Consortium S3_Lig showed an increase in the abundance of <italic>Klebsiella</italic> after growth in alkali lignin medium. <italic>Cellulomonas</italic> was not detected in any of the communities grown in alkali lignin medium and on average, it was not significantly different between xylan substrate and the original consortia. On average, <italic>Sphingobacterium</italic> abundance increased after growth in xylan medium when compared to the original consortia (ANOVA, <italic>F</italic> = 5.659, <italic>p</italic> = 0.032). <italic>Pseudoxanthomonas</italic> relative abundance increased after growth in xylan in consortium S3_Xyl, and <italic>Sphingobium</italic> increased in consortium S4_Xyl.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>(A)</bold> Heatmap showing the relative abundance of the top bacterial genera assigned to contigs with 10 or more genes. <bold>(B)</bold> Association network between bacterial genera and carbon sources. Oval nodes represent carbon sources used in this study; squares nodes represent the top bacterial genera assigned to contigs with 10 or more genes; the size of the square node is proportional to the overall relative abundance of the bacterial genera across all the samples. Edge width represents the average relative abundance of the bacterial genera in each carbon source.</p></caption>
<graphic xlink:href="fmicb-09-00364-g001.tif"/>
</fig>
<p>To further explore the association between bacterial genera and carbon source, a network was built, where the width of the edges represents the average abundance of each genus in each treatment (<bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>). The strongest associations were among <italic>Sphingobacterium</italic> and <italic>Pseudoxanthomonas</italic> with xylan, <italic>Pseudomonas</italic> with alkali lignin, and <italic>Cellulomonas</italic> with the original communities. Some genera were only associated with alkali lignin, such as <italic>Klebsiella, Variovorax, Leclercia</italic>, and <italic>Enterobacter</italic> and no genus was exclusively associated with xylan.</p>
<p>Community diversity was assessed via two single-copy genes (alanyl-tRNA synthetase: COG0013 and excinuclease ABC subunit B UvrB: COG0556) revealed similar taxonomic patterns (Supplementary Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>). The diversity of COG0013 phylotypes varied from two to 19 per sample and the COG0556 varied from two to 17 phylotypes per sample. For both phylomarkers, no significant change in the number of phylotypes was found among the treatments.</p>
</sec>
<sec><title>Microbial Community Shifts</title>
<p>Using <italic>k-mer</italic> composition, the microbial communities were clustered according to the enrichment community line (<bold>Figure <xref ref-type="fig" rid="F2">2A</xref></bold>). The same trend is shown with the clustering based on ANI (Supplementary Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>). While their KO functional profiles revealed that the microbial communities are more similar to the ones with the same treatment (<bold>Figure <xref ref-type="fig" rid="F2">2B</xref></bold>), with ones incubated in alkali lignin significantly more similar to each other than to their original communities, though communities after growth xylan medium did not changed significantly from the original communities (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Factors related to the history of the communities (inoculum, enrichment substrate and the enrichment community line) did not play a significant role on shaping the functional composition of the metagenomes (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>(A)</bold> Cluster analysis based on <italic>k</italic>-mer composition dissimilarities among samples (<italic>k</italic> = 23). Colors are used to distinguish enrichment communities. <bold>(B)</bold> PCoA based on Morisita&#x2019;s overlap index calculated using counts per million reads of Kegg Orthologous on each sample. Oval orange shade was used to highlight the samples after growth in alkali lignin medium. <bold>(C)</bold> Relative abundance of genes assigned to major bacterial phyla in each sample. Taxonomic assignment was based on the top USEARCH hit.</p></caption>
<graphic xlink:href="fmicb-09-00364-g002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>One-way analysis of Morisita&#x2019;s overlap index (ANOSIM) using counts per million reads of Kegg Orthologous.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center" colspan="2">ANOSIM<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center"><italic>R</italic></th>
<th valign="top" align="center"><italic>p</italic><sup>&#x2217;</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Factor</bold></td></tr>
<tr>
<td valign="top" align="left">Treatment <sup>&#x2217;&#x2217;</sup></td>
<td valign="top" align="center">0.3213</td>
<td valign="top" align="center">0.0002</td></tr>
<tr>
<td valign="top" align="left">Enrichment substrate</td>
<td valign="top" align="center">&#x2013;0.0432</td>
<td valign="top" align="center">0.6596</td>
</tr>
<tr>
<td valign="top" align="left">Enrichment community</td>
<td valign="top" align="center">0.05522</td>
<td valign="top" align="center">0.2245</td>
</tr>
<tr>
<td valign="top" align="left">Inoculum</td>
<td valign="top" align="center">&#x2013;0.1016</td>
<td valign="top" align="center">0.9074</td></tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Pairwise<sup>&#x2217;&#x2217;</sup></bold></td></tr>
<tr>
<td valign="top" align="left">Original, Lignin</td>
<td valign="top" align="center">0.3917</td>
<td valign="top" align="center">0.0006</td>
</tr>
<tr>
<td valign="top" align="left">Original, Xylan</td>
<td valign="top" align="center">0.1155</td>
<td valign="top" align="center">0.1059</td>
</tr>
<tr>
<td valign="top" align="left">Lignin, Xylan</td>
<td valign="top" align="center">0.4983</td>
<td valign="top" align="center">0.0003</td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic><sup>&#x2217;</sup>Bonferroni corrected. <sup>&#x2217;&#x2217;</sup>Post hoc analysis. Treatment: Original, Lignin and Xylan. Enrichment substrate: Filter paper and wood. Enrichment community line: C1, C2, C3, S1, S2, S3, S4 and S5. Inoculum: Chicken feces and Soil.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>Taxonomic annotation of genes predicted from our metagenomic data to phylum level revealed that genes belonging to Proteobacteria dominated most of the original consortia, with exception of S3, which was dominated by genes identified as from Actinobacteria (87.1%) (<bold>Figure <xref ref-type="fig" rid="F2">2C</xref></bold>). After growth in alkali lignin, all the consortia showed an increase in abundance of genes belonging to Proteobacteria, from an average of 48.9% to an average of 82.14%. When grown in xylan, on average the proportion of Bacteroidetes genes increased from 18.9 to 38.7%, with the exception of the consortia S2_Xyl, S1_Xyl and S4_Xyl (<bold>Figure <xref ref-type="fig" rid="F2">2C</xref></bold>).</p>
<p>More than 270 functions were enriched after growth in alkali lignin (Kruskal&#x2013;Wallis, corrected <italic>p</italic> &#x003C; 0.05) and 399 functions were enriched in the original and/or xylan treatments (Kruskal&#x2013;Wallis, corrected <italic>p</italic> &#x003C; 0.05) (Supplementary Table <xref ref-type="supplementary-material" rid="SM3">S3</xref>). Functions involved in cellulose degradation were more abundant in the original consortia when compared to the alkali lignin consortia. These functions included cellulose 1,4-beta-cellobiosidases (K19668), endoglucanases (K01179), and beta-glucosidases (K05349 and K05350). Functions assigned to KEGG modules are shown in <bold>Figure <xref ref-type="fig" rid="F3">3</xref></bold>. Genes involved in the catechol ortho-cleavage and benzoate degradation pathways were found to be overrepresented after growth in alkali lignin, while genes involved in pyruvate oxidation and galactose degradation were found overrepresented in the original and xylan samples. Catechol 1,2-dioxygenase (C12D) genes were predominantly classified to the genus <italic>Pseudomonas</italic> (<bold>Figures <xref ref-type="fig" rid="F4">4C,D</xref></bold>). In contrast, beta-glucosidase genes were primarily classified to the genera <italic>Sphingobacterium, Pseudoxanthomonas</italic>, and <italic>Cellulomonas</italic> (<bold>Figures <xref ref-type="fig" rid="F4">4A,B</xref></bold>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Heatmap showing Kegg modules with normalized counts significantly different (<italic>p</italic> &#x003C; 0.05) among three treatments. Each row represent one Kegg Orthologous and each column represent one sample. Relative abundance values were normalized by the total sum of each row. Modules involved in the degradation of aromatic compounds are highlighted.</p></caption>
<graphic xlink:href="fmicb-09-00364-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Distribution by genus of the number of genes <bold>(A)</bold> beta-glucosidase and <bold>(B)</bold> catechol 1,2-dioxygenase (C12D). Distribution of counts per million reads of genes <bold>(C)</bold> beta-glucosidase and <bold>(D)</bold> catechol 1,2-dioxygenase (C12D).</p></caption>
<graphic xlink:href="fmicb-09-00364-g004.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Selective enrichment is a common approach for obtaining lignocellulose-degrading microbial consortia that can be used for biomass conversion to biofuels and other valuable biochemical. Studies have focused on identifying how inoculum sources (<xref ref-type="bibr" rid="B6">Cortes-Tolalpa et al., 2016</xref>) and enrichment conditions (<xref ref-type="bibr" rid="B8">de Lima Brossi et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Wong et al., 2016</xref>) can affect the yield and efficiency of a lignocellulose-degrading microbial consortia. In our study, we aimed to identify community members responsible for the degradation of xylan and lignin-derived compounds. We expected that after incubation on xylan and alkali lignin, the resulting communities would be enriched in members that consume each of these substrates, independently of the history of the communities. We observed that after sub-culturing the consortia conserved the overall genetic repertoire of the original consortia, which was assessed by their <italic>k-mer</italic> composition, but the relative abundance of members carrying specific functions changed in response to the carbon source used, as observed with taxonomic and functional annotation.</p>
<p>The functional and taxonomic structure of the communities changed considerably after growth in alkali lignin, both in their taxonomic and functional profiles. Moreover, despite of their enrichment history, most of the consortia converged to a similar composition, with prevalence of <italic>Pseudomonas</italic> spp. and aromatic degradation genes. As mentioned in the introduction, substrate-driven convergence has already been observed in other studies (<xref ref-type="bibr" rid="B18">Jia et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Wong et al., 2016</xref>). <xref ref-type="bibr" rid="B18">Jia et al. (2016)</xref> proposed that community convergence indicates that the selective pressure imposed by the culturing conditions is strong enough to change the initial relative abundance of community members. Lignin-derived compounds are known to be toxic to a various microorganisms, and may provide a competitive advantage to more tolerant species, such as <italic>Pseudomonas</italic> spp. (<xref ref-type="bibr" rid="B1">Abdelaziz et al., 2016</xref>). An increase in the abundance of <italic>Pseudomonas</italic> was associated with enrichment of genes related to aromatic compound degradation. Lignin is a heterogeneous aromatic polymer, which is found in the plant cell wall covalently cross-linked with polysaccharides (<xref ref-type="bibr" rid="B30">Li M. et al., 2016</xref>). Members of the <italic>Pseudomonas</italic> genus are considered major degraders of aromatic compounds in various environments (<xref ref-type="bibr" rid="B33">Ma et al., 2013</xref>; <xref ref-type="bibr" rid="B45">Terr&#x00F3;n-Gonz&#x00E1;lez et al., 2016</xref>) and several studies have demonstrated that the <italic>Pseudomonas</italic> has the capability to catabolize low molecular weight lignin (<xref ref-type="bibr" rid="B42">Salvach&#x00FA;a et al., 2015</xref>; <xref ref-type="bibr" rid="B46">Tian et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Mohan and Phale, 2017</xref>; <xref ref-type="bibr" rid="B41">Ravi et al., 2017</xref>). The strain <italic>P. putida</italic> CSV86 was shown to utilize aromatics, such as veratryl alcohol and ferulic acid, preferentially over glucose (<xref ref-type="bibr" rid="B3">Basu et al., 2006</xref>) via the ortho-cleavage pathway (<xref ref-type="bibr" rid="B38">Mohan and Phale, 2017</xref>). In our study, Catechol 1,2-dioxygenase (C12D) genes were enriched after growth with alkali lignin as a sole carbon source and were mostly attributed to <italic>Pseudomonas</italic> (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>). C12D is the key enzyme in the ortho-cleavage pathway and catalyzes the intradiol cleavage of the aromatic ring generating <italic>cis,cis</italic>-muconic acid (<xref ref-type="bibr" rid="B12">Fuchs et al., 2011</xref>) and it is likely involved in the degradation of kraft lignin by <italic>Cupriavidus basilensis</italic> B-8 (<xref ref-type="bibr" rid="B44">Shi et al., 2013</xref>).</p>
<p>On the other hand, after growth in xylan medium, we observed that the shift in taxonomic composition (<bold>Figure <xref ref-type="fig" rid="F2">2C</xref></bold>) was not followed by a significant change of the functional potential of the microbial assemblages (<bold>Figure <xref ref-type="fig" rid="F2">2B</xref></bold>). This can be explained by different substrate preferences of species with similar functional potential, such as <italic>Sphingobacterium</italic> and <italic>Cellulomonas</italic>. <italic>Sphingobacterium</italic> increased after growth in xylan medium and it has been reported in various plant biomass-degrading microbial consortia and was found to secrete endo-beta-1,4-xylanases during growth on wheat straw (<xref ref-type="bibr" rid="B21">Jim&#x00E9;nez et al., 2015</xref>). <italic>Cellulomonas</italic> strains have also been found to secrete xylanases (<xref ref-type="bibr" rid="B43">S&#x00E1;nchez-Herrera et al., 2007</xref>; <xref ref-type="bibr" rid="B32">Lisov et al., 2017</xref>). However, in the growth conditions used in our study, <italic>Cellulomonas</italic> seems to be outcompeted by <italic>Sphingobacterium</italic> when xylan is the sole carbon source. The original consortia were enriched in genes encoding exoglucanases, endoglucanases, and beta-glucosidases. Three of the original consortia were enriched in filter paper, which is composed of crystalline cellulose, and five consortia were bred in poplar wood chips, which is mainly composed of cellulose. Therefore it suggests that the observed association of <italic>Cellulomonas</italic> with the original consortia is related to their preference to degrade cellulose (<xref ref-type="bibr" rid="B36">Meinke et al., 1993</xref>).</p>
<p>Resource partitioning among distinct bacterial phyla has been demonstrated in soil microbial communities and is a major driver of microbial diversity (<xref ref-type="bibr" rid="B51">Wilson and Lindow, 1994</xref>; <xref ref-type="bibr" rid="B15">Goldfarb et al., 2011</xref>; <xref ref-type="bibr" rid="B25">Kramer et al., 2016</xref>). Our findings provides strong evidence that distinct players in lignocellulolytic microbial consortia have distinct substrate preferences. These bacteria are promising candidates for future studies of engineered microbial consortia in lignocellulose degradation. Studies have observed an increase in degradation rates in mixed cultures, when compared to monocultures (<xref ref-type="bibr" rid="B47">Tiunov and Scheu, 2005</xref>; <xref ref-type="bibr" rid="B10">Evans et al., 2017</xref>). Identifying key degraders of each plant cell wall polymer is the first step toward the development of engineered microbial consortia for an &#x201C;optimal&#x201D; plant biomass degradation. Using metagenomics, we confirmed the major role of <italic>Pseudomonas</italic> during degradation of lignin-derived aromatic compounds. Additionally, <italic>Sphingobacterium</italic> is identified as a good candidate for xylan degradation and <italic>Cellulomonas</italic> seems to play a crucial role during aerobic degradation of cellulose in complexes substrates.</p>
</sec>
<sec><title>Author Contributions</title>
<p>CC designed and performed the experiments and analyses and also wrote the manuscript. HF performed the bioinformatics analysis and wrote the manuscript. CC designed and wrote the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was funded by the U.S. Department of Energy Great Lakes Bioenergy Research Center, Office of Science grant BER DE-FC02-07ER64494.</p>
</fn>
</fn-group>
<ack>
<p>We thank Gina R. Lewin and Steven Suh for their work during the establishment of the lignocellulose-adapted communities. We thank the DOE JGI production sequencing and IMG teams for sequencing, assembling, and annotating the metagenomes under the proposal number 503055 - BRC Proposal. We also thank the University of Wisconsin Biotechnology Center DNA Sequence Facility for providing Illumina Next Generation sequencing facilities and services.</p>
</ack>
<sec sec-type="supplementary material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2018.00364/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2018.00364/full#supplementary-material</ext-link></p>
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</sec>
<ref-list>
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