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<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.2021.756032</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>Selection of Superior Yeast Strains for the Fermentation of Lignocellulosic Steam-Exploded Residues</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cagnin</surname> <given-names>Lorenzo</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1526513/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gronchi</surname> <given-names>Nicoletta</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1470230/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Basaglia</surname> <given-names>Marina</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1526291/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Favaro</surname> <given-names>Lorenzo</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/849246/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Casella</surname> <given-names>Sergio</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1527871/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova</institution>, <addr-line>Legnaro</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Soo Rin Kim, Kyungpook National University, South Korea</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sujit Jagtap, University of Illinois at Urbana-Champaign, United States; Joana Cunha, University of Minho, Portugal</p></fn>
<corresp id="c001">&#x002A;Correspondence: Lorenzo Favaro, <email>lorenzo.favaro@unipd.it</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share last authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Microbial Physiology and Metabolism, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>756032</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Cagnin, Gronchi, Basaglia, Favaro and Casella.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Cagnin, Gronchi, Basaglia, Favaro and Casella</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>The production of lignocellulosic ethanol calls for a robust fermentative yeast able to tolerate a wide range of toxic molecules that occur in the pre-treated lignocellulose. The concentration of inhibitors varies according to the composition of the lignocellulosic material and the harshness of the pre-treatment used. It follows that the versatility of the yeast should be considered when selecting a robust strain. This work aimed at the validation of seven natural <italic>Saccharomyces cerevisiae</italic> strains, previously selected for their industrial fitness, for their application in the production of lignocellulosic bioethanol. Their inhibitor resistance and fermentative performances were compared to those of the benchmark industrial yeast <italic>S. cerevisiae</italic> Ethanol Red, currently utilized in the second-generation ethanol plants. The yeast strains were characterized for their tolerance using a synthetic inhibitor mixture formulated with increasing concentrations of weak acids and furans, as well as steam-exploded lignocellulosic pre-hydrolysates, generally containing the same inhibitors. The eight non-diluted liquors have been adopted to assess yeast ability to withstand bioethanol industrial conditions. The most tolerant <italic>S. cerevisiae</italic> Fm17 strain, together with the reference Ethanol Red, was evaluated for fermentative performances in two pre-hydrolysates obtained from cardoon and common reed, chosen for their large inhibitor concentrations. <italic>S. cerevisiae</italic> Fm17 outperformed the industrial strain Ethanol Red, producing up to 18 and 39 g/L ethanol from cardoon and common reed, respectively, with ethanol yields always higher than those of the benchmark strain. This natural strain exhibits great potential to be used as superior yeast in the lignocellulosic ethanol plants.</p>
</abstract>
<kwd-group>
<kwd>bioethanol</kwd>
<kwd>sugarcane bagasse</kwd>
<kwd>cardoon</kwd>
<kwd>common reed</kwd>
<kwd>industrial yeast strains</kwd>
<kwd>steam explosion</kwd>
</kwd-group>
<contract-num rid="cn001">GRIC120EG8, DOR1715524/17, DOR1728499/17, DOR1824847/18, DOR1827441/18, DOR1931153/19, DOR1928058/19, DOR2087054/20, DOR2084579/20, DOR2027838/20, BIRD210708/21</contract-num>
<contract-sponsor id="cn001">Universit&#x00E0; degli Studi di Padova<named-content content-type="fundref-id">10.13039/501100003500</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="6"/>
<equation-count count="1"/>
<ref-count count="66"/>
<page-count count="12"/>
<word-count count="8581"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>Several cheap forestry and agricultural waste streams, as well as energy crops, are available for being applied as feedstocks for bioethanol production (<xref ref-type="bibr" rid="B6">Bhatia et al., 2017</xref>). However, such biomasses need to be pre-treated to make the cellulose more accessible to the following enzymatic hydrolysis aimed to release fermentable sugars.</p>
<p>Although demonstration plants using sugarcane bagasse, corn stover, wheat straw, and switchgrass are now in operation (<xref ref-type="bibr" rid="B6">Bhatia et al., 2017</xref>; <xref ref-type="bibr" rid="B40">Jansen et al., 2017</xref>), before reaching the final large-scale application of lignocellulosic ethanol, several challenges must be faced (<xref ref-type="bibr" rid="B12">Chandel et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Dale, 2018</xref>; <xref ref-type="bibr" rid="B47">Liu et al., 2019</xref>) mainly about both the pre-treatment technologies and the yeast used in the processes.</p>
<p>Many pre-treatment technologies have been developed in the last decades and have important effects on downstream procedures, yields, and costs (<xref ref-type="bibr" rid="B18">da Costa Sousa et al., 2009</xref>; <xref ref-type="bibr" rid="B54">Nair et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Awasthi et al., 2020</xref>; <xref ref-type="bibr" rid="B58">Park et al., 2020</xref>). Among the pre-treatments, steam explosion unsettles lignocellulosic materials by physical and chemical reactions, allowing a more effective subsequent enzymatic digestion. However, during steam explosion, possible inhibitors of fermentations such as phenolic compounds, furans, or weak acids are released decreasing the final ethanol yields (<xref ref-type="bibr" rid="B36">Garc&#x00ED;a et al., 2014</xref>; <xref ref-type="bibr" rid="B52">Morales et al., 2017</xref>).</p>
<p>Moreover, the fermenting yeast strains used in the second-generation ethanol plants, including <italic>S. cerevisiae</italic> Ethanol Red, have been originally selected for the application in first-generation ethanol distilleries. As such, there strains are generally unsuitable for the harsher conditions typical of lignocellulosic ethanol (<xref ref-type="bibr" rid="B42">J&#x00F6;nsson et al., 2013</xref>; <xref ref-type="bibr" rid="B40">Jansen et al., 2017</xref>; <xref ref-type="bibr" rid="B12">Chandel et al., 2018</xref>; <xref ref-type="bibr" rid="B30">Favaro et al., 2019b</xref>).</p>
<p>Unfortunately, while several research projects focused on the search for efficient pre-treatment technologies to maximize sugar yield (reviewed in <xref ref-type="bibr" rid="B34">Galbe and Zacchi, 2007</xref>; <xref ref-type="bibr" rid="B7">Bhutto et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Liu et al., 2020</xref>), only a limited number approached yeast strains selection on the basis of their fermentative performances, innate resistance, and industrial fitness (<xref ref-type="bibr" rid="B5">Basso et al., 2008</xref>; <xref ref-type="bibr" rid="B2">Albers and Larsson, 2009</xref>; <xref ref-type="bibr" rid="B59">Pereira et al., 2011</xref>, <xref ref-type="bibr" rid="B60">2014</xref>; <xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>; <xref ref-type="bibr" rid="B23">Dubey et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Kim et al., 2017</xref>; <xref ref-type="bibr" rid="B20">de Witt et al., 2019</xref>). This is a big gap of knowledge in order to optimize both substrate conversion and energy efficiency of lignocellulosic ethanol (<xref ref-type="bibr" rid="B12">Chandel et al., 2018</xref>).</p>
<p>First-generation ethanol experiences demonstrated that the efficient conversion of the raw material (corn or sugarcane) into alcohol is crucial for process economy: bioethanol industry should aim for at least 90% of theoretical yields (<xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>) and even an increase of 1% would result in a considerable increase of the profit (<xref ref-type="bibr" rid="B21">Della-Bianca et al., 2013</xref>; <xref ref-type="bibr" rid="B22">Dmytruk et al., 2017</xref>). The same concept has still to be transferred to ethanol production from lignocellulose where the ethanol yields are below the industrial thresholds (<xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>; <xref ref-type="bibr" rid="B30">Favaro et al., 2019b</xref>). Thus, the search of a vigorous yeast strain able to efficiently ferment in such industrial conditions is essential in a lignocellulosic ethanol context.</p>
<p>Conventional screenings for naturally tolerant <italic>S. cerevisiae</italic> strains were usually directed to individual stressors (<xref ref-type="bibr" rid="B35">Garay-Arroyo et al., 2004</xref>; <xref ref-type="bibr" rid="B1">Abdel-Banat et al., 2010</xref>; <xref ref-type="bibr" rid="B51">Mertens et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Cunha et al., 2019</xref>). However, discovering and selecting strains with tolerance to multiple stresses, as well as assessing their fitness in simulated industrial conditions (co-presence of inhibitors, pH decrease, high osmolarity), would be a more realistic approach toward the development of the second-generation bioethanol industry as well reported in recent literature (<xref ref-type="bibr" rid="B51">Mertens et al., 2018</xref>; <xref ref-type="bibr" rid="B8">Brandt et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Cunha et al., 2019</xref>; <xref ref-type="bibr" rid="B20">de Witt et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B58">Park et al., 2020</xref>; <xref ref-type="bibr" rid="B62">van Dijk et al., 2020</xref>).</p>
<p>In the present research paper, sugarcane bagasse, common reed, and cardoon were considered due to their potential as a source of renewable energy and their sustainability in fermentation to fuel route (<xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>,<xref ref-type="bibr" rid="B14">b</xref>; <xref ref-type="bibr" rid="B24">Espada et al., 2021</xref>). Eight undiluted inhibitor-rich liquors, obtained after the steam explosion of the feedstocks mentioned above, were here used as such for both strain inhibitor tolerance assessment and fermentation to ethanol. The industrial fitness of seven selected <italic>S. cerevisiae</italic> strains, previously described for their high thermo- and inhibitor-tolerance (<xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>, <xref ref-type="bibr" rid="B26">2014</xref>; <xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref>), was evaluated at lab scale and compared to that of the industrial reference <italic>S. cerevisiae</italic> Ethanol Red, one of the most used strain in the lignocellulose-to-ethanol processes (<xref ref-type="bibr" rid="B22">Dmytruk et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>). The use of undetoxified steam-exploded liquors was useful to simulate the industrial environment as closely as possible.</p>
<p>The natural yeast strain showing the most promising inhibitor tolerance in many of the screened pre-hydrolysates, together with the reference <italic>S. cerevisiae</italic> Ethanol Red, were further adopted for the fermentation of two pre-hydrolysates, chosen for their high inhibitor concentration. These liquors, deriving from cardoon and common reed, were also supplemented up to 40 and 92 g/L of glucose, respectively, to simulate the highest glucose concentration obtained by enzymatic saccharification of each steam-exploded water insoluble solid (WIS; <xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>,<xref ref-type="bibr" rid="B14">b</xref>; <xref ref-type="bibr" rid="B11">Cavalaglio et al., 2016</xref>).</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Feedstocks and Chemicals</title>
<p>In order to obtain steam-exploded liquors with high inhibitor concentrations, samples of <italic>Phragmites australis</italic> (common reed), <italic>Cynara cardunculus</italic> (cardoon), and <italic>Saccharum officinarum</italic> (sugarcane) bagasse pre-treated by applying different conditions (residence time and temperature) resulting in increasing severity factors (Log<italic>R</italic><sub>0</sub>) were investigated in this study (<xref ref-type="table" rid="T1">Table 1</xref>). Log<italic>R</italic><sub>0</sub>-values (<xref ref-type="bibr" rid="B55">Overend and Chornet, 1987</xref>; <xref ref-type="bibr" rid="B25">Espirito Santo et al., 2020</xref>) were obtained according to Equation [1]:</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Pre-treatment parameters, pH, and composition of the pre-hydrolysates used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td/>
<td/>
<td/>
<td valign="top" align="center" colspan="8"><bold>g/L</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Substrates</bold></td>
<td valign="top" align="center"><bold>Name</bold></td>
<td valign="top" align="center"><bold>Log<italic>R</italic><sub>0</sub></bold></td>
<td valign="top" align="center"><bold>pH</bold></td>
<td valign="top" align="center"><bold>Glucose</bold></td>
<td valign="top" align="center"><bold>Arabinose</bold></td>
<td valign="top" align="center"><bold>Xylose</bold></td>
<td valign="top" align="center"><bold>Formic acid</bold></td>
<td valign="top" align="center"><bold>Acetic acid</bold></td>
<td valign="top" align="center"><bold>Levulinic acid</bold></td>
<td valign="top" align="center"><bold>Furfural</bold></td>
<td valign="top" align="center"><bold>HMF</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>P. australis</italic></td>
<td valign="top" align="center">Pa1</td>
<td valign="top" align="center">3.60</td>
<td valign="top" align="center">3.75</td>
<td valign="top" align="center">0.14 &#x00B1; 0.01</td>
<td valign="top" align="center">0.25 &#x00B1; 0.02</td>
<td valign="top" align="center">1.24 &#x00B1; 0.11</td>
<td valign="top" align="center">0.32 &#x00B1; 0.01</td>
<td valign="top" align="center">1.00 &#x00B1; 0.08</td>
<td valign="top" align="center">n.d.</td>
<td valign="top" align="center">0.24 &#x00B1; 0.01</td>
<td valign="top" align="center">0.05 &#x00B1; 0.01</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pa2</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">0.29 &#x00B1; 0.02</td>
<td valign="top" align="center">0.35 &#x00B1; 0.01</td>
<td valign="top" align="center">2.04 &#x00B1; 0.18</td>
<td valign="top" align="center">0.78 &#x00B1; 0.05</td>
<td valign="top" align="center">2.18 &#x00B1; 0.11</td>
<td valign="top" align="center">0.001 &#x00B1; 0.001</td>
<td valign="top" align="center">0.97 &#x00B1; 0.07</td>
<td valign="top" align="center">0.13 &#x00B1; 0.01</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pa3</td>
<td valign="top" align="center">4.40</td>
<td valign="top" align="center">3.23</td>
<td valign="top" align="center">0.43 &#x00B1; 0.02</td>
<td valign="top" align="center">0.09 &#x00B1; 0.01</td>
<td valign="top" align="center">0.53 &#x00B1; 0.04</td>
<td valign="top" align="center">1.28 &#x00B1; 0.11</td>
<td valign="top" align="center">3.50 &#x00B1; 0.25</td>
<td valign="top" align="center">0.008 &#x00B1; 0.001</td>
<td valign="top" align="center">1.43 &#x00B1; 0.11</td>
<td valign="top" align="center">0.48 &#x00B1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left"><italic>C. cardunculus</italic></td>
<td valign="top" align="center">Cc1</td>
<td valign="top" align="center">3.85</td>
<td valign="top" align="center">4.10</td>
<td valign="top" align="center">0.02 &#x00B1; 0.01</td>
<td valign="top" align="center">0.01 &#x00B1; 0.01</td>
<td valign="top" align="center">0.23 &#x00B1; 0.01</td>
<td valign="top" align="center">0.50 &#x00B1; 0.03</td>
<td valign="top" align="center">0.71 &#x00B1; 0.06</td>
<td valign="top" align="center">0.002 &#x00B1; 0.001</td>
<td valign="top" align="center">0.09 &#x00B1; 0.01</td>
<td valign="top" align="center">0.05 &#x00B1; 0.01</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Cc2</td>
<td valign="top" align="center">4.02</td>
<td valign="top" align="center">3.96</td>
<td valign="top" align="center">0.30 &#x00B1; 0.02</td>
<td valign="top" align="center">0.11 &#x00B1; 0.02</td>
<td valign="top" align="center">2.15 &#x00B1; 0.12</td>
<td valign="top" align="center">1.73 &#x00B1; 0.11</td>
<td valign="top" align="center">2.15 &#x00B1; 0.11</td>
<td valign="top" align="center">0.003 &#x00B1; 0.001</td>
<td valign="top" align="center">0.36 &#x00B1; 0.02</td>
<td valign="top" align="center">0.20 &#x00B1; 0.02</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Cc3</td>
<td valign="top" align="center">4.28</td>
<td valign="top" align="center">3.83</td>
<td valign="top" align="center">0.20 &#x00B1; 0.02</td>
<td valign="top" align="center">0.20 &#x00B1; 0.02</td>
<td valign="top" align="center">2.20 &#x00B1; 0.17</td>
<td valign="top" align="center">2.18 &#x00B1; 0.15</td>
<td valign="top" align="center">2.76 &#x00B1; 0.24</td>
<td valign="top" align="center">0.004 &#x00B1; 0.001</td>
<td valign="top" align="center">0.44 &#x00B1; 0.02</td>
<td valign="top" align="center">0.28 &#x00B1; 0.02</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Cc4</td>
<td valign="top" align="center">4.53</td>
<td valign="top" align="center">3.49</td>
<td valign="top" align="center">0.13 &#x00B1; 0.01</td>
<td valign="top" align="center">0.03 &#x00B1; 0.01</td>
<td valign="top" align="center">1.91 &#x00B1; 0.11</td>
<td valign="top" align="center">4.28 &#x00B1; 0.28</td>
<td valign="top" align="center">5.80 &#x00B1; 0.41</td>
<td valign="top" align="center">0.011 &#x00B1; 0.003</td>
<td valign="top" align="center">0.64 &#x00B1; 0.04</td>
<td valign="top" align="center">0.39 &#x00B1; 0.02</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. officinarum</italic></td>
<td valign="top" align="center">So1</td>
<td valign="top" align="center">4.65</td>
<td valign="top" align="center">3.28</td>
<td valign="top" align="center">0.50 &#x00B1; 0.03</td>
<td valign="top" align="center">0.40 &#x00B1; 0.03</td>
<td valign="top" align="center">2.95 &#x00B1; 0.18</td>
<td valign="top" align="center">3.00 &#x00B1; 0.19</td>
<td valign="top" align="center">11.20 &#x00B1; 0.90</td>
<td valign="top" align="center">0.019 &#x00B1; 0.005</td>
<td valign="top" align="center">1.70 &#x00B1; 0.12</td>
<td valign="top" align="center">0.50 &#x00B1; 0.03</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Severity factor Log<italic>R</italic><sub>0</sub> correlates with the harshness of the pre-treatment (<xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>, <xref ref-type="bibr" rid="B14">b</xref>). n.d., not detected.</italic></p></fn>
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<mml:math id="M1" display="block"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>&#x2062;</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>[</mml:mo><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>T</mml:mi><mml:mo>-</mml:mo><mml:mn>100</mml:mn></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x2062;</mml:mo><mml:mi mathvariant="normal">/</mml:mi><mml:mo>&#x2062;</mml:mo><mml:mn>14.75</mml:mn></mml:mrow><mml:mo>]</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:mrow></mml:math>
</disp-formula>
<p>where t is the residence time (sec/min) and T is the temperature (&#x00B0;C).</p>
<p>Briefly, pre-treatment liquors of cardoon and common reed were obtained by steam explosion. For every Log<italic>R</italic><sub>0</sub>-value, six consecutive explosions were executed using 500 g of dry biomass for each explosion. Liquors were then separated from the WIS fraction using a stainless-steel filter with a cutoff of 1 mm (<xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>,<xref ref-type="bibr" rid="B14">b</xref>; <xref ref-type="bibr" rid="B10">Cagnin et al., 2018</xref>).</p>
<p>Sugarcane pre-hydrolysate was obtained in a steam explosion plant composed of a 19 L reactor, a collection tank, and a 40-bar electrical boiler. Milled sugarcane bagasse samples, dried in a drying chamber to a final moisture content of 10% (w/w), were loaded into the reactor and treated for 10 min at 200&#x00B0;C. The pre-hydrolysate was then removed using a locally manufactured dead-end press. All the pre-hydrolysates were refrigerated until use. The inhibitor and sugar contents are reported in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<p>All chemicals, media components, and supplements were of analytical grade standard.</p>
</sec>
<sec id="S2.SS2">
<title>Yeast Strains</title>
<p>The phenotypes and sources of the <italic>S. cerevisiae</italic> strains used in this work are summarized in <xref ref-type="table" rid="T2">Table 2</xref>. Yeast strains pre-cultures were grown in YPD medium (g/L: yeast extract, 10; peptone, 20; glucose, 20) at 30&#x00B0;C on a rotary shaker set at 130 rpm unless otherwise stated.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Yeast strains used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Strain</bold></td>
<td valign="top" align="left"><bold>Relevant phenotype</bold></td>
<td valign="top" align="left"><bold>References</bold></td>
<td valign="top" align="left"><bold>Source</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> Ethanol Red</td>
<td valign="top" align="left">Industrial strain for bioethanol production</td>
<td valign="top" align="left">Lesaffre (Marcq-en-Bar&#x015B;ul, France)</td>
<td valign="top" align="left">Fermentis division</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> Fm17</td>
<td valign="top" align="left">Newly isolated strain with high inhibitor tolerance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref></td>
<td valign="top" align="left">DAFNAE collection (University of Padova, Italy)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> Fm89</td>
<td valign="top" align="left">Newly isolated strain with high inhibitor tolerance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref></td>
<td valign="top" align="left">DAFNAE collection (University of Padova, Italy)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> Fm90</td>
<td valign="top" align="left">Newly isolated strain with high inhibitor tolerance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref></td>
<td valign="top" align="left">DAFNAE collection (University of Padova, Italy)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> Fm96</td>
<td valign="top" align="left">Newly isolated strain with high inhibitor tolerance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B26">Favaro et al., 2014</xref></td>
<td valign="top" align="left">DAFNAE collection (University of Padova, Italy)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> M2n</td>
<td valign="top" align="left">Industrial distillery strain</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B63">Viktor et al., 2013</xref></td>
<td valign="top" align="left">Stellenbosch University (South Africa)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> MEL2</td>
<td valign="top" align="left">Industrial strain with high fermentative vigor</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B28">Favaro et al., 2013b</xref></td>
<td valign="top" align="left">DAFNAE collection(University of Padova, Italy)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>S. cerevisiae</italic> YI30</td>
<td valign="top" align="left">Wild type strain with high inhibitor tolerance</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref></td>
<td valign="top" align="left">Stellenbosch University (South Africa)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S2.SS3">
<title>Evaluation of Inhibitor Tolerance of Selected Wild Type and Industrial Yeast</title>
<p>Seven natural yeast strains (Fm17, Fm89, Fm90, Fm96, M2n, MEL2, and YI30) were screened for their industrial fitness using Ethanol Red as benchmark industrial yeast. Inhibitor tolerance in the presence of four synthetic inhibitor mixtures and eight inhibitor-rich lignocellulosic pre-hydrolysates was assessed.</p>
<sec id="S2.SS3.SSS1">
<title>Inhibitor Tolerance in Synthetic Inhibitor Mixtures</title>
<p>Yeast strains were firstly evaluated for their inhibitor tolerance in filter-sterilized (0.22 &#x03BC;m) defined Yeast Nitrogen Base (YNB) medium supplemented with 20 g/L of glucose and containing increasing concentrations of weak acids (acetic, formic acids) and furans (furfural, HMF: 5-hydroxymethyl-2-furaldehyde). Inhibitors were formulated into four mixtures, namely, RC<sub>25</sub>, RC<sub>50</sub>, RC<sub>100</sub>, and RC<sub>200</sub> (RC: Relative Concentration) obtained by adding increasing doses of each toxic compound. RC<sub>100</sub> was formulated using the highest concentrations of each tested inhibitor present in many lignocellulosic pre-hydrolysates, namely, acetic acid 7.20, formic acid 2.40, furfural 2.70, HMF 3.78 g/L (<xref ref-type="bibr" rid="B32">Favaro et al., 2016</xref>, <xref ref-type="bibr" rid="B31">2019a</xref>; <xref ref-type="bibr" rid="B43">J&#x00F6;nsson and Mart&#x00ED;n, 2016</xref>; <xref ref-type="bibr" rid="B6">Bhatia et al., 2017</xref>; <xref ref-type="bibr" rid="B7">Bhutto et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Dmytruk et al., 2017</xref>; <xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref>; <xref ref-type="bibr" rid="B61">Roscini et al., 2019</xref>). RC<sub>25</sub> and RC<sub>50</sub> mixtures were, respectively, obtained as 4-fold and 2-fold dilutions of RC<sub>100</sub>. RC<sub>200</sub> is a 2-fold concentration of RC<sub>100</sub>. pH was adjusted to 5.0, using 5 M NaOH. This particular pH is widely used in the bioethanol production process (<xref ref-type="bibr" rid="B44">K&#x00E1;d&#x00E1;r et al., 2007</xref>). The detailed inhibitor composition of each mixture is reported in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Inhibitor composition of four quaternary mixtures used to assess yeast inhibitor tolerance.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="4"><bold>Concentration (g/L)</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Inhibitor</bold></td>
<td valign="top" align="center"><bold>RC<sub>25</sub></bold></td>
<td valign="top" align="center"><bold>RC<sub>50</sub></bold></td>
<td valign="top" align="center"><bold>RC<sub>100</sub></bold></td>
<td valign="top" align="center"><bold>RC<sub>200</sub></bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Acetic acid</td>
<td valign="top" align="center">1.80</td>
<td valign="top" align="center">3.60</td>
<td valign="top" align="center">7.20</td>
<td valign="top" align="center">14.40</td>
</tr>
<tr>
<td valign="top" align="left">Formic acid</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">2.40</td>
<td valign="top" align="center">4.80</td>
</tr>
<tr>
<td valign="top" align="left">Furfural</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">2.70</td>
<td valign="top" align="center">5.40</td>
</tr>
<tr>
<td valign="top" align="left">HMF</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">3.78</td>
<td valign="top" align="center">7.56</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Before adjustment, pH-values of inhibitor mixtures RC<sub>25</sub>, RC<sub>50</sub>, RC<sub>100</sub>, and RC<sub>200</sub> were 2.60, 2.50, 2.40, and 2.20, respectively.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Overnight cultures of each yeast strain, grown at 30&#x00B0;C in YNB medium containing 20 g/L of glucose, were transferred, in biological triplicate, at an inoculum concentration of 1 &#x00D7; 10<sup>6</sup> cells/mL, in 2 mL Eppendorf tubes containing 0.9 mL of medium. After 40 h of growth (30&#x00B0;C, 130 rpm), the optical density at 600 nm (OD<sub>600</sub>) was measured. For each strain, the tolerance was estimated as relative growth (%), calculated as the ratio between measured OD<sub>600</sub>-values of the medium with inhibitors and the control medium, devoid of any inhibitor mixture (<xref ref-type="bibr" rid="B26">Favaro et al., 2014</xref>).</p>
</sec>
<sec id="S2.SS3.SSS2">
<title>Inhibitor Tolerance in Lignocellulosic Pre-hydrolysates</title>
<p>Inhibitor tolerance of the strains was also assayed in eight lignocellulosic pre-hydrolysates, obtained by steam explosion of <italic>P. australis</italic>, <italic>C. cardunculus</italic>, and <italic>S. officinarum</italic> bagasse (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Overnight cultures of each strain were used to inoculate a volume of 200 &#x03BC;l of each lignocellulosic hydrolysate containing YNB and 20 g/L of glucose. pH of the medium was not modified. The medium was filter-sterilized through 0.22 &#x03BC;m. The experiment was carried out in quintuplicate for each condition in 96-well plates using the multimode microplate reader TECAN Spark 10 M (Tecan Group Ltd., Switzerland). An increase in OD<sub>600</sub>-value indicated the ability of the strain to sustain growth in the presence of the specific pre-hydrolysate.</p>
<p>Similarly, yeast strains were evaluated in 0.9 mL of YNB medium formulated with pre-hydrolysates Pa3, Cc3, Cc4, and containing 20 g/L glucose. pH was either not modified or adjusted at values of 4.5 and 5.0 by adding 5 M NaOH. The experiment was carried out in triplicate for each condition. Cell culture preparation, analytical methods, and evaluation of inhibitor tolerance in terms of relative growth were performed as defined in the section &#x201C;Inhibitor Tolerance in Synthetic Inhibitor Mixtures.&#x201D;</p>
</sec>
</sec>
<sec id="S2.SS4">
<title>Fermentation of Lignocellulosic Pre-hydrolysates</title>
<p>Fermentation performances of <italic>S. cerevisiae</italic> Fm17 and Ethanol Red were evaluated in YNB medium formulated with cardoon (Cc3) or common reed (Pa3) pre-hydrolysates supplemented with up to 20 g/L of glucose. Moreover, the two pre-treatment liquors were supplemented with YNB and 40 or 92 g/L of glucose, respectively, to simulate the highest glucose concentration obtained by enzymatic saccharification of each steam-exploded WIS (<xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>, <xref ref-type="bibr" rid="B14">b</xref>; <xref ref-type="bibr" rid="B11">Cavalaglio et al., 2016</xref>). After pH was adjusted to 5.0 using 5 M NaOH, broths were sterilized using a 0.22 &#x03BC;m sterile filter.</p>
<p>Pre-cultures of yeast cells grown to stationary phase in YNB medium containing 20 g/L of glucose were used to inoculate 50 mL medium to an initial OD<sub>600</sub> of 1.0 in 55 mL glass serum bottles. The small-scale fermentations were carried out in triplicate under oxygen-limited conditions. Bottles were sealed with rubber stoppers, incubated at 30&#x00B0;C, and mixed on a magnetic stirrer. Growth was measured as OD<sub>600</sub> and samples, taken through a capped syringe needle pierced through the bottle stopper, were stored at &#x2212;20&#x00B0;C. Collected samples were filtered through a 0.22 &#x03BC;m pore filter and diluted prior to HPLC (high-performance liquid chromatography) analysis performed as described in the section &#x201C;Analytical Methods, Calculations, and Statistical Analysis.&#x201D;</p>
</sec>
<sec id="S2.SS5">
<title>Analytical Methods, Calculations, and Statistical Analysis</title>
<p>Samples of lignocellulosic pre-hydrolysates and liquid fractions during small scale fermentations were analyzed for ethanol, glycerol, arabinose, galactose, glucose, xylose, mannose, sucrose, maltose, cellobiose, acetic acid, formic acid, levulinic acid, furfural, and HMF. Liquid chromatography analysis was performed using a Shimadzu Nexera HPLC system, equipped with a RID-10A refractive index detector (Shimadzu, Kyoto, Japan). The chromatographic separations were performed using a Phenomenex Rezex ROA-Organic Acid H<sup>+</sup> (8%) column (300 mm &#x00D7; 7.8 mm). The column temperature was set at 65&#x00B0;C, and the analysis was performed at a flow rate of 0.6 mL/min using isocratic elution, with 0.01 M H<sub>2</sub>SO<sub>4</sub> as a mobile phase (<xref ref-type="bibr" rid="B27">Favaro et al., 2010</xref>). Analytes were identified by comparing their retention times, and the concentrations were calculated using calibration curves of the corresponding external standard.</p>
<p>The ethanol yield (<italic>Y</italic><sub>E/G</sub>) from glucose was calculated as the highest amount of ethanol produced per gram of consumed glucose (g/g). The volumetric productivity (<italic>Q</italic>) was based on grams of the highest ethanol produced per liter of culture medium per hour (g/L h<sup>&#x2013;1</sup>). <italic>Q</italic><sub>max</sub> was calculated as the highest volumetric productivity along the fermentations.</p>
<p>Statistical analyses were obtained using the Graphpad Prism 5 package (Graphpad Software, Inc., San Diego, CA, United States). Mean values, standard deviations, and descriptive statistics were calculated. Fermentations performances were analyzed by ANOVA (ANalysis Of Variance) using Duncan test <italic>post hoc</italic> means differentiation.</p>
</sec>
</sec>
<sec sec-type="results|discussion" id="S3">
<title>Results and Discussion</title>
<sec id="S3.SS1">
<title>Screening of <italic>Saccharomyces cerevisiae</italic> Yeast Strains for Inhibitor Tolerance</title>
<p>Seven <italic>S. cerevisiae</italic> strains, namely, Fm17, Fm89, Fm90, Fm96, M2n, MEL2, and YI30, were previously described for their potential in various bioethanol applications (<xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>, <xref ref-type="bibr" rid="B26">2014</xref>; <xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref>). In this study, these strains were further characterized with the final aim of assessing their promise to be used for lignocellulosic ethanol production. As such, <italic>S. cerevisiae</italic> Ethanol Red was specifically chosen as reference industrial yeast (<xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>; <xref ref-type="bibr" rid="B30">Favaro et al., 2019b</xref>).</p>
<sec id="S3.SS1.SSS1">
<title>Inhibitor Tolerance in Synthetic Inhibitor Mixtures</title>
<p>Inhibitor resistance was firstly evaluated in the presence of four synthetic mixtures of inhibitors most commonly found in lignocellulosic pre-hydrolysates. <italic>S. cerevisiae</italic> strains were grown in YNB medium containing 20 g/L of glucose and increasing concentrations of synthetic inhibitors, weak acids (acetic, formic acid), and furans (furfural, HMF). As described in the section &#x201C;Inhibitor Tolerance in Synthetic Inhibitor Mixtures,&#x201D; the tolerance of each strain was evaluated as relative growth (%) by comparing the cell growth in the medium containing inhibitors with that lacking these compounds, after 40 h incubation at 30&#x00B0;C (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Influence of increasing concentrations of mixtures of weak acids (acetic and formic acid) and furans (furfural and HMF) on aerobic yeast growth in defined YNB medium supplemented with 20 g/L of glucose.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="8"><bold>Relative growth (%)</bold><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>Fm89</bold></td>
<td valign="top" align="center"><bold>Fm90</bold></td>
<td valign="top" align="center"><bold>Fm96</bold></td>
<td valign="top" align="center"><bold>M2n</bold></td>
<td valign="top" align="center"><bold>MEL2</bold></td>
<td valign="top" align="center"><bold>YI30</bold></td>
<td valign="top" align="center"><bold>Ethanol Red</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">RC<sub>25</sub></td>
<td valign="top" align="center">94 &#x00B1; 4</td>
<td valign="top" align="center">81 &#x00B1; 4</td>
<td valign="top" align="center">87 &#x00B1; 4</td>
<td valign="top" align="center">79 &#x00B1; 4</td>
<td valign="top" align="center">50 &#x00B1; 4</td>
<td valign="top" align="center">82 &#x00B1; 4</td>
<td valign="top" align="center">85 &#x00B1; 3</td>
<td valign="top" align="center">65 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">RC<sub>50</sub></td>
<td valign="top" align="center">71 &#x00B1; 4</td>
<td valign="top" align="center">62 &#x00B1; 3</td>
<td valign="top" align="center">59 &#x00B1; 3</td>
<td valign="top" align="center">53 &#x00B1; 3</td>
<td valign="top" align="center">21 &#x00B1; 1</td>
<td valign="top" align="center">60 &#x00B1; 3</td>
<td valign="top" align="center">63 &#x00B1; 3</td>
<td valign="top" align="center">44 &#x00B1; 2</td>
</tr>
<tr>
<td valign="top" align="left">RC<sub>100</sub></td>
<td valign="top" align="center">60 &#x00B1; 3</td>
<td valign="top" align="center">45 &#x00B1; 2</td>
<td valign="top" align="center">42 &#x00B1; 2</td>
<td valign="top" align="center">39 &#x00B1; 3</td>
<td valign="top" align="center">14 &#x00B1; 1</td>
<td valign="top" align="center">28 &#x00B1; 1</td>
<td valign="top" align="center">55 &#x00B1; 2</td>
<td valign="top" align="center">11 &#x00B1; 1</td>
</tr>
<tr>
<td valign="top" align="left">RC<sub>200</sub></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>pH was adjusted to 5.0 with 5 M NaOH. Inhibitor tolerance values are expressed as relative growth (%) for each strain after 40 h. Results are the means of three replicates (&#x00B1; SD).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Inhibitor mixtures hindered cell growth with different degrees of severity. As expected, the relative growth decreased by increasing the concentration of inhibitors. <italic>S. cerevisiae</italic> M2n and Ethanol Red displayed the lowest tolerance already in the presence of the most diluted mixture (RC<sub>25</sub>), with a relative growth of 50 and 65%, respectively. Conversely, Fm17 exhibited the highest degree of tolerance to the inhibitors formulations, with values of 94, 71, and 60% in RC<sub>25</sub>, RC<sub>50</sub>, and RC<sub>100</sub>, respectively. A slightly lower extent of tolerance has been also measured for <italic>S. cerevisiae</italic> YI30, recently proposed as a promising strain for lignocellulosic ethanol (<xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref>). By contrast, RC<sub>200</sub> inhibited growth of all strains tested.</p>
</sec>
<sec id="S3.SS1.SSS2">
<title>Using Lignocellulosic Pre-hydrolysates to Assess Yeast Inhibitor Tolerance</title>
<p>Although the synthetic mixtures were often used for assessing the inhibitor tolerance of <italic>S. cerevisiae</italic> strains (<xref ref-type="bibr" rid="B49">Mart&#x00ED;n and J&#x00F6;nsson, 2003</xref>; <xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>, <xref ref-type="bibr" rid="B26">2014</xref>; <xref ref-type="bibr" rid="B63">Viktor et al., 2013</xref>; <xref ref-type="bibr" rid="B66">Wimalasena et al., 2014</xref>; <xref ref-type="bibr" rid="B41">Jansen et al., 2018</xref>), the ability of yeast cells to grow and withstand real lignocellulosic pre-treated materials could greatly vary, due to the hindering action of other toxic compounds that cannot be easily identified or quantified (<xref ref-type="bibr" rid="B12">Chandel et al., 2018</xref>). The objective of this work was to select yeast strains for second-generation bioethanol production in the industrial context, based on their high level of robustness and strong fermentative performances. Therefore, for the first time, several pre-hydrolysates from steam pre-treated lignocellulosic materials, namely, sugarcane bagasse, common reed, and cardoon, were used as a source of inhibitors. These feedstocks, selected as model of other cheap and abundant lignocellulosic substrates, together with steam explosion, which is one of the most commonly used pre-treatments (<xref ref-type="bibr" rid="B53">Mussatto, 2016</xref>), would result in conditions representative for second-generation ethanol production.</p>
<p>In order to obtain a cluster of liquors enriched in inhibitory compounds, several Log<italic>R</italic><sub>0</sub>-values were applied for the steam-explosion of the lignocellulosic materials, resulting in the release of different inhibitor concentrations and small amounts of xylose, arabinose, and glucose (<xref ref-type="table" rid="T1">Table 1</xref>). The steam explosion of <italic>S. officinarum</italic> bagasse yielded the pre-hydrolysate So1, having the highest amounts of aliphatic acids (about 14.2 g/L) and furans (2.2 g/L). These values agree with those described in other steam-exploded sugarcane bagasse samples (<xref ref-type="bibr" rid="B50">Mart&#x00EC;n et al., 2002</xref>; <xref ref-type="bibr" rid="B33">Fockink et al., 2018</xref>). The higher severity, the higher release of inhibitors in both <italic>P. australis</italic> and <italic>C. cardunculus</italic> pre-hydrolysates (<xref ref-type="table" rid="T1">Table 1</xref>). Among the <italic>P. australis</italic> pre-treatments liquors, Pa3 was the richest in terms of inhibitors with almost 4.8 and 2.0 g/L of weak acids and furans, respectively. On the other hand, Cc4 contained the uppermost levels of inhibitors among the pre-hydrolysates of <italic>C. cardunculus</italic>. Such concentrations compare well with those recently reported for cardoon and common read steam gun pre-treatments (<xref ref-type="bibr" rid="B9">Bu&#x0142;kowska and Klimiuk, 2016</xref>).</p>
<p>The ability of the yeast strains to grow in the presence of eight undiluted pre-hydrolysates was firstly evaluated in a qualitative high-throughput assay using YNB containing 20 g/L of glucose, as described in the section &#x201C;Inhibitor Tolerance in Lignocellulosic Pre-hydrolysates.&#x201D; Yeast growth was determined by detecting increased turbidity of the medium (<xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref>). All strains were able to grow in pre-hydrolysates Pa1 and Pa2 from <italic>P. australis</italic> and in Cc1, Cc2, and Cc3 from <italic>C. cardunculus</italic>, except for Fm89 strain in Pa2. Pre-treatment liquors Pa3 from <italic>P. australis</italic>, Cc4 from <italic>C. cardunculus</italic>, and So1 from <italic>S. officinarum</italic> bagasse did not support the growth of any yeast, indicating that their concentrations of toxic chemical species were higher than yeast could tolerate. This hypothesis is confirmed by the large inhibitor concentrations present in each of these pre-hydrolysates (<xref ref-type="table" rid="T1">Table 1</xref>). In fact, Pa3 contains the uppermost amount of inhibitors found in the pre-hydrolysates originating from <italic>P. australis</italic> and one of the strongest concentrations of furans among all the pre-hydrolysates. Similarly, for Cc4, which appears as the harshest liquor from <italic>C. cardunculus</italic>, with very high concentrations of weak acids (nearly 10 g/L).</p>
<p>With the aim to select highly tolerant yeast, Pa3, Cc3, and Cc4 liquors were chosen for additional experimental activities on yeast inhibitor resistance. Since the use of undiluted substrate would be the best criterion to adopt, So1 was excluded because of its high inhibitor content (<xref ref-type="table" rid="T1">Table 1</xref>) exceeding the ability of the yeast to cope with (<xref ref-type="bibr" rid="B57">Palmqvist and Hahn-H&#x00E4;gerdal, 2000</xref>; <xref ref-type="bibr" rid="B42">J&#x00F6;nsson et al., 2013</xref>; <xref ref-type="bibr" rid="B43">J&#x00F6;nsson and Mart&#x00ED;n, 2016</xref>). Relative inhibitor tolerance of the eight strains was quantified in YNB medium containing 20 g/L of glucose and formulated with pre-hydrolysates Pa3, Cc3, and Cc4, without altering the pH of the media. In these conditions, yeast growth was completely inhibited in Pa3 and Cc4, while all strains could grow in the presence of the pre-hydrolysate Cc3 (<xref ref-type="table" rid="T5">Table 5</xref>). <italic>S. cerevisiae</italic> YI30 and Fm17 exhibited the highest relative growth values, 70 and 62%, respectively. The reference Ethanol Red showed lower inhibitor tolerance. Higher toxicity of pre-hydrolysates Pa3 and Cc4 is likely caused by the higher amounts of acetic acid, furfural, and HMF (<xref ref-type="table" rid="T1">Table 1</xref>), compared to the less toxic Cc3.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Influence of different lignocellulosic pre-hydrolysates on yeast growth in defined YNB medium supplemented with 20 g/L of glucose with or without pH adjustment to pH 5.0 with 5 M NaOH.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="2"><bold>Pa3</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Cc3</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Cc4</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Strain</bold></td>
<td valign="top" align="center"><bold>Unaltered</bold></td>
<td valign="top" align="center"><bold>Adjusted</bold></td>
<td valign="top" align="center"><bold>Unaltered</bold></td>
<td valign="top" align="center"><bold>Adjusted</bold></td>
<td valign="top" align="center"><bold>Unaltered</bold></td>
<td valign="top" align="center"><bold>Adjusted</bold></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="center"><bold>(pH 3.23)</bold></td>
<td valign="top" align="center"><bold>(pH 5.00)</bold></td>
<td valign="top" align="center"><bold>(pH 3.83)</bold></td>
<td valign="top" align="center"><bold>(pH 5.00)</bold></td>
<td valign="top" align="center"><bold>(pH 3.49)</bold></td>
<td valign="top" align="center"><bold>(pH 5.00)</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fm17</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">69 &#x00B1; 4</td>
<td valign="top" align="center">62 &#x00B1; 3</td>
<td valign="top" align="center">88 &#x00B1; 5</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">66 &#x00B1; 4</td>
</tr>
<tr>
<td valign="top" align="left">Fm89</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">68 &#x00B1; 4</td>
<td valign="top" align="center">48 &#x00B1; 3</td>
<td valign="top" align="center">61 &#x00B1; 3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">63 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">Fm90</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">61 &#x00B1; 3</td>
<td valign="top" align="center">61 &#x00B1; 4</td>
<td valign="top" align="center">80 &#x00B1; 4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">60 &#x00B1; 4</td>
</tr>
<tr>
<td valign="top" align="left">Fm96</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9 &#x00B1; 1</td>
<td valign="top" align="center">50 &#x00B1; 3</td>
<td valign="top" align="center">79 &#x00B1; 4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">54 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">M2n</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">16 &#x00B1; 1</td>
<td valign="top" align="center">53 &#x00B1; 3</td>
<td valign="top" align="center">57 &#x00B1; 3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">60 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">MEL2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">8 &#x00B1; 1</td>
<td valign="top" align="center">30 &#x00B1; 2</td>
<td valign="top" align="center">61 &#x00B1; 3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">56 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">YI30</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">57 &#x00B1; 3</td>
<td valign="top" align="center">70 &#x00B1; 4</td>
<td valign="top" align="center">81 &#x00B1; 5</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">60 &#x00B1; 3</td>
</tr>
<tr>
<td valign="top" align="left">Ethanol Red</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">37 &#x00B1; 2</td>
<td valign="top" align="center">50 &#x00B1; 3</td>
<td valign="top" align="center">78 &#x00B1; 4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">63 &#x00B1; 3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Inhibitor tolerance is expressed as relative growth (%) measured for each strain after 40 h in YNB, and results are the means of three replicates (&#x00B1; SD).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Overall, the selected natural yeast strains exhibited a versatility toward multiple pre-treated materials greater than the benchmark industrial yeast (<xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref> and <xref ref-type="table" rid="T5">Table 5</xref>). This is one of the main achievements for a lignocellulosic ethanol yeast (<xref ref-type="bibr" rid="B22">Dmytruk et al., 2017</xref>; <xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>; <xref ref-type="bibr" rid="B30">Favaro et al., 2019b</xref>).</p>
<p>The experiment was replicated after adjusting medium acidity to pH 5.0 (<xref ref-type="table" rid="T5">Table 5</xref>). pH adjustment resulted in an overall improvement of relative growth: all strains did grow in the presence of pre-hydrolysates Pa3 and Cc3, as well as in Cc4. While all <italic>S. cerevisiae</italic> isolates showed similar tolerance to Cc4, amounting to about 60% relative growth (54&#x2013;66%), strong differences could be identified in the case of the liquor Pa3 (8&#x2013;69%) and Cc3 (57&#x2013;88%).</p>
<p>The reference industrial yeast Ethanol Red proved to be extremely inhibited by Pa3 while showing high tolerance in Cc3 and Cc4. On the contrary, <italic>S. cerevisiae</italic> Fm17 exhibited the highest relative growth values once exposed to the three pre-hydrolysates at pH 5.0. Similar inhibitor tolerance patterns, although with lower values, were detected for <italic>S. cerevisiae</italic> Fm90 and YI30 (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<p>Benefits generated by pH adjustment can be ascribed to the acidity-related dissociation of weak acids. As extracellular undissociated acids are liposoluble, they can permeate through the cell membrane and lower the cytosolic pH, thus inducing stress levels to the cell that can cause the inhibition of metabolic activities. The amount of dissociated acid is a function of pH and the p<italic>K</italic><sub><italic>a</italic></sub> of each specific acid. The concentration of undissociated and dissociated acids in lignocellulosic pre-hydrolysates is then very sensitive to the medium acidity (<xref ref-type="bibr" rid="B57">Palmqvist and Hahn-H&#x00E4;gerdal, 2000</xref>; <xref ref-type="bibr" rid="B46">Landaeta et al., 2013</xref>; <xref ref-type="bibr" rid="B43">J&#x00F6;nsson and Mart&#x00ED;n, 2016</xref>). The increase of medium pH to values closer to, or higher than, the p<italic>K</italic><sub><italic>a</italic></sub> of weak acids reduces the concentration of harmful undissociated acids, resulting in less stressful conditions for the yeast. This is particularly true for the hydrolysate Cc4, quite rich in terms of formic and acetic acid (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Based on the high inhibitor tolerance shown in different lignocellulosic pre-hydrolysates, <italic>S. cerevisiae</italic> Fm17 was selected and further characterized, together with the reference Ethanol Red, in terms of fermenting abilities in the lignocellulosic pre-treatment liquors of <italic>P. australis</italic> (Pa3) and <italic>C. cardunculus</italic> (Cc3).</p>
</sec>
</sec>
<sec id="S3.SS2">
<title>Fermentation Performances of Selected Yeast Strains in Lignocellulosic Pre-hydrolysates</title>
<p>Since developing industrial yeast with high fermentative capacity from different pre-treated feedstocks, rather than a preferred substrate, is one of the ultimate goals, pre-hydrolysates from cardoon (Cc3) and common reed (Pa3) were used as a substrate to simulate the industrial environment as closely as possible. Firstly, the pre-treatment liquors were supplemented up to 20 g/L glucose and used in small-scale fermentations to compare the fermenting abilities of <italic>S. cerevisiae</italic> Fm17 to those of the reference industrial strain Ethanol Red (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;D</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). The acidity of the medium was adjusted to pH 5.0 with 5 M NaOH. A fermentation medium formulated without Cc3 or Pa3 was used as control (<xref ref-type="fig" rid="F1">Figures 1E,F</xref> and <xref ref-type="table" rid="T6">Table 6</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Fermentation performances in the presence of pre-hydrolysate Cc3 from <italic>Cynara cardunculus</italic> and Pa3 from <italic>Phragmites australis</italic>, supplemented with YNB containing 20 g/L of glucose, by <italic>Saccharomyces cerevisiae</italic> Fm17 <bold>(A,C)</bold> and Ethanol Red <bold>(B,D)</bold>. <italic>S. cerevisiae</italic> Fm17 <bold>(E)</bold> and Ethanol Red <bold>(F)</bold> were inoculated also in the reference broth (YNB containing 20 g/L of glucose without any pre-hydrolysate). When necessary, acidity of the medium was adjusted to pH 5.0 with NaOH. The experiment was conducted in triplicate. Error bars correspond to the standard deviation of the means.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-756032-g001.tif"/>
</fig>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Fermentative performances at 30&#x00B0;C of <italic>Saccharomyces cerevisiae</italic> strain Fm17 and the benchmark <italic>S. cerevisiae</italic> Ethanol Red (ER) when incubated in the presence of pre-hydrolysate Cc3 and Pa3 supplemented with 20, 40, or 92 g/L glucose.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Glucose concentration (g/L)</bold></td>
<td valign="top" align="center"><bold>Pre-hydrolysate</bold></td>
<td valign="top" align="center" colspan="2"><bold>Highest glycerol concentration (g/L)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Highest ethanol concentration (g/L)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold><italic>Y</italic><sub>E/G</sub> (g/g)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold><italic>Q</italic> (g/L h<sup>&#x2013;1</sup>)</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold><italic>Q</italic><sub>max</sub> (g/L h<sup>&#x2013;1</sup>)</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>ER</bold></td>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>ER</bold></td>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>ER</bold></td>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>ER</bold></td>
<td valign="top" align="center"><bold>Fm17</bold></td>
<td valign="top" align="center"><bold>ER</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.79 &#x00B1; 0.03</td>
<td valign="top" align="center">0.74 &#x00B1; 0.03</td>
<td valign="top" align="center">8.17 &#x00B1; 0.38</td>
<td valign="top" align="center">8.21 &#x00B1; 0.38</td>
<td valign="top" align="center">0.41 (80%)</td>
<td valign="top" align="center">0.41 (80%)</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">0.40</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="center">Cc3</td>
<td valign="top" align="center">0.83 &#x00B1; 0.03</td>
<td valign="top" align="center">0.74 &#x00B1; 0.04</td>
<td valign="top" align="center">9.34 &#x00B1; 0.27</td>
<td valign="top" align="center">8.26 &#x00B1; 0.21</td>
<td valign="top" align="center">0.46 (90%)</td>
<td valign="top" align="center">0.40 (79%)</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">20</td>
<td valign="top" align="center">Pa3</td>
<td valign="top" align="center">0.80 &#x00B1; 0.04</td>
<td valign="top" align="center">0.72 &#x00B1; 0.03</td>
<td valign="top" align="center">9.04 &#x00B1; 0.28</td>
<td valign="top" align="center">8.01 &#x00B1; 0.25</td>
<td valign="top" align="center">0.45 (88%)</td>
<td valign="top" align="center">0.40 (78%)</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">40</td>
<td valign="top" align="center"><italic>-</italic></td>
<td valign="top" align="center">1.51 &#x00B1; 0.06</td>
<td valign="top" align="center">1.64 &#x00B1; 0.07</td>
<td valign="top" align="center">16.92 &#x00B1; 0.77</td>
<td valign="top" align="center">16.95 &#x00B1; 0.80</td>
<td valign="top" align="center">0.42 (82%)</td>
<td valign="top" align="center">0.42 (82%)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">40</td>
<td valign="top" align="center">Cc3</td>
<td valign="top" align="center">1.65 &#x00B1; 0.07</td>
<td valign="top" align="center">1.55 &#x00B1; 0.07</td>
<td valign="top" align="center">18.29 &#x00B1; 0.43</td>
<td valign="top" align="center">17.25 &#x00B1; 0.40</td>
<td valign="top" align="center">0.45 (88%)</td>
<td valign="top" align="center">0.42 (82%)</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">92</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">3.27 &#x00B1; 0.13</td>
<td valign="top" align="center">3.27 &#x00B1; 0.15</td>
<td valign="top" align="center">35.56 &#x00B1; 1.54</td>
<td valign="top" align="center">36.34 &#x00B1; 1.39</td>
<td valign="top" align="center">0.40 (79%)</td>
<td valign="top" align="center">0.41 (80%)</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">1.35</td>
</tr>
<tr>
<td valign="top" align="left">92</td>
<td valign="top" align="center">Pa3</td>
<td valign="top" align="center">3.80 &#x00B1; 0.17</td>
<td valign="top" align="center">3.63 &#x00B1; 0.16</td>
<td valign="top" align="center">39.09 &#x00B1; 1.42</td>
<td valign="top" align="center">37.60 &#x00B1; 1.00</td>
<td valign="top" align="center">0.45 (88%)</td>
<td valign="top" align="center">0.43 (85%)</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1.29</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>The same glucose concentrations were supplemented to YNB as reference broth. The highest glycerol and ethanol levels were reported. All experiments were conducted in triplicate (&#x00B1; SD). <italic>Y</italic><sub><italic>E/G</italic></sub>, ethanol yield per gram of consumed glucose calculated on the highest ethanol production and % of theoretical maximum indicated in brackets; <italic>Q</italic>, volumetric productivity at the highest ethanol production.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Once exposed to the pre-hydrolysate Cc3 (<italic>C. cardunculus</italic>), glucose consumption was completed within the first 20 h by both strains (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). The industrial yeast Ethanol Red produced higher biomass levels with the final OD<sub>600</sub> approaching 4.0. On the contrary, the novel yeast strain Fm17 achieved higher ethanol production (9.34 g/L) which was 1.13-fold that of Ethanol Red (<xref ref-type="fig" rid="F1">Figures 1A,B</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). As such, ethanol yield and maximum productivity (<italic>Q</italic><sub>max</sub>) values were greater (<xref ref-type="table" rid="T6">Table 6</xref>). In particular, the selected <italic>S. cerevisiae</italic> Fm17 exhibited an ethanol yield of 0.46 g/g of consumed glucose, corresponding to almost 90% of the theoretical (0.51 g/g), whereas the industrial benchmark stopped only at 0.40 g/g, which corresponds to 79% of the maximum yield.</p>
<p>The strains produced similar fermenting patterns also in the presence of the pre-treatment liquor Pa3 from <italic>P. australis</italic> (<xref ref-type="fig" rid="F1">Figures 1C,D</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). Biomass yield, detected as OD<sub>600</sub>-values, was higher in the case of <italic>S. cerevisiae</italic> Ethanol Red (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>); meanwhile, ethanol performances were better for the selected strain Fm17 (<xref ref-type="fig" rid="F1">Figures 1C,D</xref> and <xref ref-type="table" rid="T6">Table 6</xref>), which produced up to 9.04 instead of 8.01 g/L. The resulting ethanol yields were 0.45 and 0.40 g/g of consumed glucose, corresponding to 88 and 78% of the theoretical for <italic>S. cerevisiae</italic> Fm17 and Ethanol Red, respectively (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<p>In the control medium, YNB with 20 g/L of glucose (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>), <italic>S. cerevisiae</italic> Fm17, and Ethanol Red readily consumed all the glucose available and OD<sub>600</sub> levels were higher than those detected in the presence of both Cc3 and Pa3. Furthermore, Ethanol Red reached OD<sub>600</sub> levels greater than those of Fm17 with values of almost 5.0 (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>). Noteworthy, ethanol levels produced by both strains were lower than those detected in the pre-hydrolysates. <italic>S. cerevisiae</italic> Fm17 and Ethanol Red yielded 8.17 and 8.21 g/L of ethanol, corresponding to 80 and 81% of the theoretical, respectively (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Since pre-hydrolysates have a complex chemical composition, presence of additional carbon sources in the medium containing Cc3 and Pa3 is possible, resulting in greater ethanol productions. Furthermore, a higher amount of ethanol produced in the pre-hydrolysates can also be ascribed to the presence of furfural and HMF. Although these chemical compounds exhibit a negative impact on yeast metabolism, their reduction to less toxic compounds can act as a redox sink, thus preventing redox imbalances and increasing final ethanol yield (<xref ref-type="bibr" rid="B64">Wahlbom and Hahn-H&#x00E4;gerdal, 2002</xref>; <xref ref-type="bibr" rid="B3">Ask et al., 2013</xref>; <xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>). Furfural and HMF were completely metabolized by the strains (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;D</xref>). Lower glycerol production observed in Cc3 and Pa3 when compared to the control broth further supports this hypothesis, since glycerol production as redox sink is less favored than furan conversion (<xref ref-type="bibr" rid="B56">Palmqvist et al., 1999</xref>; <xref ref-type="bibr" rid="B49">Mart&#x00ED;n and J&#x00F6;nsson, 2003</xref>).</p>
<p>As reported in <xref ref-type="table" rid="T6">Table 6</xref>, in the presence of both pre-treatment liquors, the volumetric productivities of the yeast strains were generally greater than those recorded in the reference medium (without inhibitor supplementation). This could be due to the presence of weak acids, which can boost the fermentation rate at concentrations below 100 mM (<xref ref-type="bibr" rid="B57">Palmqvist and Hahn-H&#x00E4;gerdal, 2000</xref>; <xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>; <xref ref-type="bibr" rid="B42">J&#x00F6;nsson et al., 2013</xref>; <xref ref-type="bibr" rid="B43">J&#x00F6;nsson and Mart&#x00ED;n, 2016</xref>).</p>
<p>To further assess the fermenting abilities of both strains in industrially relevant conditions, their performances were evaluated in YNB medium formulated with Cc3 (<xref ref-type="fig" rid="F2">Figure 2</xref>) or Pa3 (<xref ref-type="fig" rid="F3">Figure 3</xref>) pre-hydrolysates supplemented up to 40 and 92 g/L of glucose, respectively, to mimic the highest glucose concentration obtained by enzymatic saccharification of each steam-exploded WIS (<xref ref-type="bibr" rid="B13">Cotana et al., 2015a</xref>, <xref ref-type="bibr" rid="B14">b</xref>; <xref ref-type="bibr" rid="B11">Cavalaglio et al., 2016</xref>). pH-value was adjusted to 5.0 with 5 M NaOH. Fermentation medium formulated without Cc3 or Pa3 was used as control (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>, <xref ref-type="fig" rid="F3">3C,D</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Fermentation performances of <italic>Saccharomyces cerevisiae</italic> strains in YNB broth containing 40 g/L of glucose with or without addition of pre-hydrolysate Cc3 from <italic>Cynara. cardunculus</italic>: Fm17 (<bold>A</bold>: supplemented with Cc3, <bold>C</bold>: reference broth not supplemented with Cc3) and Ethanol Red (<bold>B</bold>: supplemented with Cc3, <bold>D</bold>: reference broth not supplemented with Cc3). The acidity of the medium was adjusted to pH 5.0 with NaOH. The experiment was conducted in triplicate. Error bars correspond to the standard deviation of the means.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-756032-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Fermentation performances of <italic>Saccharomyces cerevisiae</italic> strains in YNB broth containing 92 g/L of glucose with or without the addition of pre-hydrolysate Pa3 from <italic>Phragmites australis</italic>: Fm17 (<bold>A</bold>: supplemented with Pa3, <bold>C</bold>: reference broth not supplemented with Pa3) and Ethanol Red (<bold>B</bold>: supplemented with Cc3, <bold>D</bold>: reference broth not supplemented with Pa3). The acidity of the medium was adjusted to pH 5.0 with NaOH. The experiment was conducted in triplicate. Error bars correspond to the standard deviation of the means.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-12-756032-g003.tif"/>
</fig>
<p>In the presence of the pre-hydrolysate Cc3 (<italic>C. cardunculus</italic>) and 40 g/L glucose, the strains utilized all glucose available by 20 h of fermentation (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). Ethanol Red produced higher biomass than Fm17 in both broths (with and without Cc3): final OD<sub>600</sub> was 4.9 in the control medium and 4.8 in presence of Cc3, amounting to 16% and 20% higher than Fm17, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>). On the contrary, Fm17 displayed better volumetric productivities and ethanol production (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). Fm17 and Ethanol Red produced 18.29 g/L and 17.25 g/L of ethanol in the medium formulated with Cc3, respectively, corresponding to 88% and 82% of the theoretical yield (<xref ref-type="fig" rid="F2">Figures 2A,B</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). Volumetric productivities of Fm17 was significantly higher than those of the industrial yeast, with <italic>Q</italic><sub>max</sub> values of 0.90 instead of 0.85 (g/L h<sup>&#x2013;1</sup>) for <italic>S. cerevisiae</italic> Fm17 and Ethanol Red, respectively (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<p>In terms of furans reduction, furfural and HMF were completely metabolized by both strains (<xref ref-type="fig" rid="F2">Figure 2</xref>). In the control medium supplemented with 40 g/L glucose, <italic>S. cerevisiae</italic> Fm17 and Ethanol Red produced lower ethanol levels: 16.92 and 16.95 g/L of ethanol, respectively, corresponding to 82% of the theoretical (<xref ref-type="fig" rid="F2">Figures 2C,D</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). This finding is consistent with the ethanol performances described earlier (<xref ref-type="fig" rid="F1">Figure 1</xref>), further supporting the hypothesis that the occurrence of additional carbon sources and/or redox sinks in the pre-hydrolysate may have enhanced ethanol production by both strains.</p>
<p>Once exposed to the pre-hydrolysate Pa3 (<italic>P. australis</italic>) with 92 g/L glucose, the strains confirmed their ability to withstand high inhibitor concentrations (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). However, glucose consumption of both strains took longer than in the reference medium (<xref ref-type="fig" rid="F3">Figures 3C,D</xref>). Nevertheless, ethanol production was high with <italic>S. cerevisiae</italic> Fm17 having again the most promise (39.09 g/L) corresponding to about 88% of the theoretical. The volumetric productivity values of both strains were comparable (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<p>As already described and discussed above, ethanol levels in Pa3 were again higher than those detected in the reference broth (YNB supplemented with 92 g/L). <italic>S. cerevisiae</italic> Fm17 and Ethanol Red quickly converted glucose to comparable amounts of alcohol (35.56 and 36.34 g/L, respectively), with an ethanol yield of about 80% of the theoretical (<xref ref-type="fig" rid="F3">Figures 3C,D</xref> and <xref ref-type="table" rid="T6">Table 6</xref>).</p>
<p>Taken together, the results of small-scale fermentations in the presence of two pre-hydrolysates and increasing concentrations of glucose showed that <italic>S. cerevisiae</italic> Fm17 outcompeted ethanol performances of the reference strain Ethanol Red currently used in industrial bioethanol production (<xref ref-type="fig" rid="F1">Figures 1</xref>&#x2013;<xref ref-type="fig" rid="F3">3</xref> and <xref ref-type="table" rid="T6">Table 6</xref>). Interestingly, the lower glucose concentrations, the greater ethanol yields and productivities (<italic>p</italic> &#x2264; 0.05) were achieved by the superior yeast <italic>S. cerevisiae</italic> Fm17. Glycerol levels were comparable in both strain fermentations; meanwhile, biomass yields were always higher in the case of the industrial benchmark yeast (<xref ref-type="fig" rid="F1">Figures 1</xref>&#x2013;<xref ref-type="fig" rid="F3">3</xref>). These findings could be explained considering the ecological origin of Fm17, which has been isolated from grape marcs, an extreme environment with a limited amount of glucose (<xref ref-type="bibr" rid="B29">Favaro et al., 2013a</xref>). On the contrary, the industrial strain Ethanol Red has been specifically selected for high alcohol yield and tolerance especially during very high gravity fermentation, typical of the corn ethanol industry where at least 200 g/L glucose is available (<xref ref-type="bibr" rid="B65">Walker and Walker, 2018</xref>). As such, the novel <italic>S. cerevisiae</italic> Fm17 seems to be able to withstand better the inhibitors at lower glucose concentrations, reducing biomass yield in favor of ethanol production. These observations are in agreement with the fact that, under anaerobic conditions, yeast cells use alcoholic fermentation of sugars as the sole pathway to obtain energy in the form of ATP for cellular maintenance and, if sufficient ATP is available, for growth. When ATP is utilized for growth, yeast biomass and associated glycerol are produced at the expense of sugars that are not converted to alcohol (<xref ref-type="bibr" rid="B37">Gombert and van Maris, 2015</xref>). Furthermore, considering that under SSF or Consolidated BioProcessing settings, glucose levels, released by commercial or, respectively, recombinant enzymes produced by the engineered yeast, do not usually accumulate because of the quick yeast utilization (<xref ref-type="bibr" rid="B38">Hasunuma and Kondo, 2012</xref>; <xref ref-type="bibr" rid="B16">Cripwell et al., 2019</xref>, <xref ref-type="bibr" rid="B15">2020</xref>), Fm17 should be considered as a very promising lignocellulosic ethanol strain.</p>
<p>In conclusion, this paper was successful in employing undetoxified steam-exploded lignocellulosic residues for second-generation ethanol production. The liquors were used in a close simulation of industrial conditions, considering that as the key point for strain selection.</p>
<p>A cluster of yeast strains demonstrated inhibitor tolerance higher than those of <italic>S. cerevisiae</italic> Ethanol Red, the most used microorganism for lignocellulosic ethanol. This finding is of great value considering that to obtain large additional profits, first-generation ethanol plants strive for an increase of even 1% in ethanol yield. Techno-economical evaluations are in progress to determine the weight of using <italic>S. cerevisiae</italic> Fm17 in the overall process efficiency. Moreover, further studies are on-going to confirm its promising industrial fitness both at higher scale (i.e., bioreactor) and in SSF settings in the presence of WIS collected after steam-explosion of selected lignocellulosic materials.</p>
<p>This study also implies that there are interesting opportunities to isolate or engineer natural yeast variants with performances better than those currently exploited in well-known industrial yeast strains. Moreover, the phenotypic differences between the screened yeast in terms of inhibitor-tolerance indicated that the choice of strain is critical when contemplating the design of a process involving fermentation of lignocellulosic pre-treated materials at industrial scale.</p>
<p>The most burgeoning strain, capable of growing well in undiluted liquors, was also able to ferment in more than one pre-treated feedstocks. This confirmed its great versatility to multiple pre-treated materials, which is one of the requirements for an efficient second-generation ethanol yeast.</p>
</sec>
</sec>
<sec sec-type="data-availability" id="S4">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="TS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S5">
<title>Author Contributions</title>
<p>LC: investigation, data curation, writing original draft, and visualization. NG: data curation, writing original draft, and visualization. MB and SC: commenting revised draft and funding acquisition. LF: conceptualization, methodology, data curation, reviewing original draft, editing, visualization, supervision, and funding acquisition. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="h58">
<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="S6">
<title>Funding</title>
<p>This work was supported by University of Padova [grants GRIC120EG8, DOR1715524/17, DOR1728499/17, DOR1824847/18, DOR1827441/18, DOR1931153/19, DOR1928058/19, DOR2087054/20, DOR2084579/20, DOR2027838/20, and BIRD210708/21].</p>
</sec>
<ack>
<p>The authors are grateful to Valentino Pizzocchero, M.Sc. (University of Padova, Italy) for HPLC analysis and Elisabetta Bordignon, M.Sc. (University of Padova) for valuable analytical support. Prof. Willem H. van Zyl and Dr. Trudy Jansen (University of Stellenbosch, South Africa) are gratefully acknowledged for providing <italic>S. cerevisiae</italic> M2n and YI30. Sugarcane pre-hydrolysate has been kindly provided by Prof. Johann F. G&#x00F6;rgens (University of Stellenbosch). Dr. Gianluca Cavalaglio, Prof. Andrea Nicolini, and Prof. Franco Cotana (University of Perugia, Italy) are also gratefully acknowledged for providing common reed and cardoon pre-hydrolysates.</p>
</ack>
<sec id="S8" 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.2021.756032/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2021.756032/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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