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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
</journal-title-group>
<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.2025.1753983</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Recent advances in microbial 3-methyl-1-butanol production</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yogiswara</surname>
<given-names>Sasha</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3343444"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Verstrepen</surname>
<given-names>Kevin J.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2948282"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, VIB</institution>, <city>Leuven</city>, <country country="be">Belgium</country></aff>
<aff id="aff2"><label>2</label><institution>Laboratory of Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2S, KU Leuven</institution>, <city>Leuven</city>, <country country="be">Belgium</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Kevin J. Verstrepen, <email xlink:href="mailto:kevin.verstrepen@kuleuven.be">kevin.verstrepen@kuleuven.be</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1753983</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Yogiswara and Verstrepen.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yogiswara and Verstrepen</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>3-Methyl-1-butanol (3MB), also known as isoamyl alcohol, is an emerging bio-based solvent, platform chemical, and advanced biofuel candidate whose demand continues to grow across chemical, energy, and consumer product sectors. Microbial synthesis offers a sustainable alternative to petrochemical routes, yet achieving industrially viable titers remains challenging due to pathway complexity, byproduct formation, redox imbalance, and product toxicity. This review provides a comprehensive summary of current advances in microbial 3MB production, including host strain and pathway engineering, feedstock diversification, and fermentation design. We compare the three principal biosynthetic routes toward 3MB&#x2014;the valine&#x2013;leucine&#x2013;Ehrlich pathway, the mevalonate pathway, and the isovaleryl-CoA pathway&#x2014;and evaluate their implementation across bacterial and yeast chassis. Particular focus is placed on strategies that enhance flux through leucine biosynthesis, reduce byproduct formation such as isobutanol, and rebalance NAD(P)H cofactors. Mechanisms of 3MB toxicity and recent insights from adaptive laboratory evolution and omics analyses are discussed as emerging guides for improving product tolerance. Beyond genetic interventions, we highlight process-level opportunities such as <italic>in situ</italic> product extraction, oxygen-supply optimization, and fed-batch operation, which remain underexplored yet are critical for achieving high 3MB titers. Looking forward, leveraging isobutanol chassis strains, employing high-throughput technologies such as biosensor-guided evolution, adopting intensified fermentation strategies, and co-producing 3MB alongside bioethanol may accelerate the development of scalable and economically competitive microbial platforms for 3MB production.</p>
</abstract>
<kwd-group>
<kwd>3-methyl-1-butanol</kwd>
<kwd>bioethanol</kwd>
<kwd>fusel alcohol</kwd>
<kwd>isoamyl alcohol</kwd>
<kwd>isopentanol</kwd>
<kwd>metabolic engineering</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. SY is supported by a PhD fellowship from FWO (1S22422N). Research in the lab of KV is supported by KU Leuven, VIB, VLAIO, FWO (S001421N) and iBOF (IBOF/21/092).</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="89"/>
<page-count count="15"/>
<word-count count="10512"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiotechnology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec1">
<label>1</label>
<title>Application and relevance of 3-methyl-1-butanol</title>
<p>3-Methyl-1-butanol (3MB), also known as isoamyl alcohol or isopentanol, is gaining interest as a renewable solvent and drop-in fuel (<xref ref-type="bibr" rid="ref2">Ardebili et al., 2020</xref>), with its global market valued at over $90 million in 2022, and estimated to increase to over $290 million by the end of 2031 (<xref ref-type="bibr" rid="ref65">Transparency Market Research, 2022</xref>). As a solvent, 3MB is used in the flavor and fragrance industry to recover oils and essences, in the pharmaceutical industry for the synthesis of active pharmaceutical ingredients, and in the coatings, adhesives and cleaning agents applications (<xref ref-type="bibr" rid="ref32">imarc, 2025</xref>). 3MB is also recognized as an advanced biofuel candidate due to its high energy density, suitable for combustion characteristics and compatible with existing fuel infrastructure (<xref ref-type="bibr" rid="ref2">Ardebili et al., 2020</xref>).</p>
<p>Beyond direct use, 3MB serves as a versatile platform chemical for synthesizing esters and other high-value molecules used in flavors, fragrances, pharmaceuticals, surfactants, and plasticizers (<xref ref-type="bibr" rid="ref28">G&#x00FC;ven&#x00E7; et al., 2007</xref>; <xref ref-type="bibr" rid="ref10">Breitkreuz et al., 2014</xref>; <xref ref-type="bibr" rid="ref25">Gabri&#x00EB;ls et al., 2015</xref>). Common derivatives include isoamyl acetate (banana-like aroma) for food and fragrance applications (<xref ref-type="bibr" rid="ref83">Zare et al., 2020</xref>), diisoamyl phthalate as a plasticizer, isoamyl salicylate for soaps and cosmetics (<xref ref-type="bibr" rid="ref34">Khokhar et al., 2011</xref>), and isoamyl xanthate used as a flotation agent in mineral processing (<xref ref-type="bibr" rid="ref88">Zhong et al., 2012</xref>).</p>
<p>Industrial 3MB can be produced via several petrochemical routes: (i) hydroformylation of isobutylene (oxo process) followed by hydrogenation (<xref ref-type="bibr" rid="ref22">European Commission, 2016</xref>), and (ii) fractional distillation of petroleum, followed by chlorination of pentane fractions, and subsequent hydrolysis (<xref ref-type="bibr" rid="ref5">Ayres, 1929</xref>). However, these methods remain dependent on fossil resources. As sustainability pressures increase, microbial production of 3MB has emerged as a compelling alternative (imarc, 2025).</p>
<p>This review summarizes the different biosynthetic pathways for 3MB production in different microbial hosts, the efforts in expanding feedstock range for a more sustainable 3MB production, and fermentation optimization strategies to improve titer, yield and productivity rates.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Metabolic pathway engineering in different microbial hosts</title>
<p>Three major biosynthetic routes have been engineered to produce 3MB from glucose in bacteria and yeast: the mevalonate (MVA) pathway, the isovaleryl-CoA pathway, and the valine&#x2013;leucine&#x2013;Ehrlich (VLE) pathway. These pathways use either pyruvate or acetyl-CoA as precursors, both derived from glucose in all reported studies. Whereas bacteria require heterologous genes to enable 3MB formation through any of these pathways, <italic>Saccharomyces cerevisiae</italic> naturally synthesizes 3MB through the VLE pathway and remains the only organism in which this native route has been used for 3MB production.</p>
<p>Note that bacterial and yeast genes and proteins will be mentioned in this section, which follow different nomenclature conventions (lowercase <italic>italicized</italic> for bacterial gene; uppercase <italic>italicized</italic> for yeast gene, non-italicized with first letter uppercase for bacterial and yeast proteins). Heterologously expressed genes/proteins will be preceded by the source species name (i.e., Ll<italic>kivD</italic> refers to the <italic>kivD</italic> gene from <italic>Lactococcus lactis</italic>, <italic>Ll</italic>KivD is the KivD protein from <italic>Lactococcus lactis</italic>).</p>
<sec id="sec3">
<label>2.1</label>
<title>Valine-leucine-Ehrlich pathway</title>
<p>The valine-leucine-Ehrlich (VLE) pathway converts pyruvate to 3MB through the valine and leucine biosynthetic reactions, followed by <italic>&#x03B1;</italic>-ketoacid decarboxylation and alcohol dehydrogenation characteristic of the Ehrlich pathway (<xref ref-type="fig" rid="fig1">Figure 1</xref>). It is currently the most extensively engineered pathway for 3MB production, especially in <italic>Escherichia coli</italic>, <italic>Corynebacterium glutamicum</italic>, and <italic>S. cerevisiae</italic> (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>3-Methyl-1-butanol biosynthesis via the valine-leucine-Ehrlich pathway in bacteria <bold>(A)</bold> and yeast <bold>(B)</bold>. The yeast alcohol dehydrogenase Adh2 is NADH-dependent, while the bacterial aldehyde reductase YqhD, yeast Adh6, and Adh7 are NADPH-dependent. Small blocks at the interface of the mitochondria and cytosolic spaces denote transporters. Red dotted lines denotes an inhibition mechanism of amino acid ligands to their biosynthetic enzyme.</p>
</caption>
<graphic xlink:href="fmicb-16-1753983-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram showing metabolic pathways for producing isobutanol and 3-methylbutanol. Panel A depicts the bacterial pathway, highlighting enzymes and intermediates, with endogenous bacterial genes in blue and heterologous genes in red. Panel B illustrates the yeast pathway, with endogenous yeast genes in blue and heterologous genes in red, including mitochondrial processes. Pathways start with pyruvate converting into various intermediates before producing isobutanol and 3-methylbutanol.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparison of strain engineering strategies for 3MB production from glucose via the valine-leucine-Ehrlich pathway.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Species</th>
<th align="center" valign="top" rowspan="2">Strain engineering strategy</th>
<th align="center" valign="top" rowspan="2">Duration (h)</th>
<th align="center" valign="top" rowspan="2">Volume (L)</th>
<th align="center" valign="top" rowspan="2">Initial glucose (g/L)</th>
<th align="center" valign="top" colspan="3">3MB</th>
<th align="center" valign="top">Isobutanol</th>
<th align="center" valign="top" rowspan="2">3MB/isobutanol</th>
<th align="left" valign="top" rowspan="2">References</th>
</tr>
<tr>
<th align="center" valign="top">Titer (g/L)</th>
<th align="center" valign="top">Rate (mg/Lh)</th>
<th align="center" valign="top">Yield (g/g)</th>
<th align="center" valign="top">Titer (g/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="4"><italic>E.coli</italic></td>
<td align="left" valign="middle">OE of Ll<italic>kivD</italic>, Sc<italic>ADH2</italic></td>
<td align="center" valign="middle" rowspan="2">40</td>
<td align="center" valign="middle" rowspan="2">0.02</td>
<td align="center" valign="middle" rowspan="2">36</td>
<td align="char" valign="middle" char=".">0.132</td>
<td align="char" valign="middle" char=".">3.30</td>
<td align="char" valign="middle" char=".">0.004</td>
<td align="center" valign="middle">0.389</td>
<td align="center" valign="middle">0.34</td>
<td align="left" valign="middle" rowspan="2">
<xref ref-type="bibr" rid="ref3">Atsumi et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">OE of Sc<italic>ARO10</italic>, Sc<italic>ADH2</italic></td>
<td align="char" valign="middle" char=".">0.097</td>
<td align="char" valign="middle" char=".">2.43</td>
<td align="char" valign="middle" char=".">0.003</td>
<td align="center" valign="middle">0.155</td>
<td align="center" valign="middle">0.63</td>
</tr>
<tr>
<td align="left" valign="middle">OE of Bs<italic>alsS</italic>, <italic>ilvCD</italic>, feedback-resistant LeuA<sup>G462D</sup>, <italic>leuBCD</italic>, <italic>LlkivD</italic>, Sc<italic>ADH2</italic> remove conversion of KIC to leucine: <italic>&#x0394;ilvE,</italic> &#x0394;<italic>tyrB</italic></td>
<td align="center" valign="middle">28</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="middle">10</td>
<td align="char" valign="middle" char=".">1.28</td>
<td align="char" valign="middle" char=".">45.71</td>
<td align="char" valign="middle" char=".">0.110</td>
<td align="center" valign="middle">0.2</td>
<td align="center" valign="middle">6.40</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref16">Connor and Liao (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">mutagenesis + 4-aza-DL-leucine screening OE of Bs<italic>alsS</italic>, <italic>ilvCD</italic>, feedback-resistant LeuA<sup>G462D</sup>, <italic>leuBCD</italic>, Ll<italic>kivD</italic>, Sc<italic>ADH2</italic> two-phase fermentation with oleyl alcohol</td>
<td align="center" valign="middle">60</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">85</td>
<td align="char" valign="middle" char=".">9.50</td>
<td align="char" valign="middle" char=".">158.30</td>
<td align="char" valign="middle" char=".">0.110</td>
<td align="center" valign="middle">2.8</td>
<td align="center" valign="middle">3.39</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref15">Connor et al. (2010)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>C. crenatium</italic></td>
<td align="left" valign="middle">Mutagenesis, OE of Sc<italic>LEU1</italic>, Sc<italic>LEU2</italic>, Llk<italic>ivD</italic>, Sc<italic>ADH6</italic></td>
<td align="center" valign="middle">96</td>
<td align="center" valign="middle">0.05</td>
<td align="center" valign="middle">60</td>
<td align="char" valign="middle" char=".">1.57</td>
<td align="char" valign="middle" char=".">16.39</td>
<td align="char" valign="middle" char=".">0.026</td>
<td align="center" valign="middle">0.798</td>
<td align="center" valign="middle">1.97</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Su et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>B flavum</italic></td>
<td align="left" valign="middle">mutagenesis, OE Sc<italic>LEU1,</italic> Sc<italic>LEU4</italic>, Ll<italic>kivD</italic>, Sc<italic>ADH2</italic></td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">0.05</td>
<td align="center" valign="middle">60</td>
<td align="char" valign="middle" char=".">0.79</td>
<td align="char" valign="middle" char=".">10.90</td>
<td align="char" valign="middle" char=".">0.013</td>
<td align="center" valign="middle">0.345</td>
<td align="center" valign="middle">2.28</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref62">Su et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2"><italic>C. glutamicum</italic></td>
<td align="left" valign="middle">&#x0394;<italic>ldhA, &#x0394;ilvA,</italic> OE of Sc<italic>ARO10</italic>, Ec<italic>yqhD</italic>, reduce activity of native BAT transaminases oxygen limited during fermentation</td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">0.05</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">2.76</td>
<td align="char" valign="middle" char=".">57.50</td>
<td align="char" valign="middle" char=".">0.069</td>
<td align="center" valign="middle">1.5</td>
<td align="center" valign="middle">1.84</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref68">Vogt et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">&#x0394;<italic>ldhA, &#x0394;aceE</italic>, mutagenesis, &#x0394;<italic>ilvE</italic>, OE of Ll<italic>kivD</italic> and Zm<italic>adh3</italic></td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">5</td>
<td align="char" valign="middle" char=".">0.70</td>
<td align="char" valign="middle" char=".">58.08</td>
<td align="char" valign="middle" char=".">0.017</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">n.a.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref85">Zhang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Bacillus megaterium</italic></td>
<td align="left" valign="middle">supercritical CO<sub>2</sub>-tolerant strain, OE of Ll<italic>kivD</italic>, Sc<italic>ADH6 in situ</italic> product removal via supercritical CO<sub>2</sub></td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">5</td>
<td align="char" valign="middle" char=".">0.53</td>
<td align="char" valign="middle" char=".">0.21</td>
<td align="char" valign="middle" char=".">0.106</td>
<td align="center" valign="middle">0.07</td>
<td align="center" valign="middle">7.93</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref8">Boock et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8"><italic>S. cerevisiae</italic></td>
<td align="left" valign="middle">OE Ll<italic>kivDm</italic>, <italic>ADH7m</italic>, <italic>ILV2, ILV3, ILV5</italic> semi-aerobic, high initial cell density</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">200</td>
<td align="char" valign="middle" char=".">0.13</td>
<td align="char" valign="middle" char=".">5.42</td>
<td align="char" valign="middle" char=".">0.001</td>
<td align="center" valign="middle">0.49</td>
<td align="center" valign="middle">0.27</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref4">Avalos et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">&#x0394;<italic>bat1</italic> &#x0394;<italic>ald6</italic>, OE of <italic>ILV2, ILV3, ILV5,</italic> Leu4<sup>D578Y</sup>, <italic>LEU2,</italic> truncated <italic>LEU3, ARO10, ADH2</italic></td>
<td align="center" valign="middle">96</td>
<td align="center" valign="middle">0.009</td>
<td align="center" valign="middle">100</td>
<td align="char" valign="middle" char=".">0.77</td>
<td align="char" valign="middle" char=".">7.98</td>
<td align="char" valign="middle" char=".">0.008</td>
<td align="center" valign="middle">0.30</td>
<td align="center" valign="middle">2.60</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref51">Park et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">plasmid-based OE of <italic>ARO10, ADH7, OAC1</italic> random chromosomal integration for OE of <italic>ILV2, ILV5, ILV3, LEU9, LEU2, LEU1</italic> two-phase fermentation with dodecane</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">0.56</td>
<td align="char" valign="middle" char=".">7.79</td>
<td align="char" valign="middle" char=".">0.014</td>
<td align="center" valign="middle">0.322</td>
<td align="center" valign="middle">1.74</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref81">Yuan et al. (2017a)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">plasmid-based OE of <italic>ARO10, ADH7</italic> random chromosomal integraton for OE of <italic>ILV2c, ILV5c, ILV3c, LEU9c LEU1, LEU2</italic> synthetic scaffold of <italic>LEU9c-ILV3c</italic> two-phase fermentation with dodecane</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">40</td>
<td align="char" valign="middle" char=".">0.52</td>
<td align="char" valign="middle" char=".">7.26</td>
<td align="char" valign="middle" char=".">0.013</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.97</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref82">Yuan et al. (2017b)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">&#x0394;<italic>bat1</italic>, &#x0394;<italic>leu4</italic>, &#x0394;<italic>leu9</italic>, &#x0394;<italic>oac1</italic>&#x202F;+&#x202F;OE of Leu4<sup>&#x0394;S457</sup>m, <italic>LEU1m</italic>, <italic>LEU2m</italic>&#x202F;+&#x202F;extra copy of plasmid-based Leu4<sup>&#x0394;S457</sup><italic>c</italic>, <italic>LEU1c, LEU2c</italic></td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">100</td>
<td align="char" valign="middle" char=".">1.24</td>
<td align="char" valign="middle" char=".">25.80</td>
<td align="char" valign="middle" char=".">0.012</td>
<td align="center" valign="middle">0.204</td>
<td align="center" valign="middle">6.08</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hammer et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Bat1<sup>G333W</sup> or Bat2<sup>G316S</sup> variants with decreased catalytic activities</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">0.05</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.08</td>
<td align="char" valign="middle" char=".">1.11</td>
<td align="char" valign="middle" char=".">0.004</td>
<td align="center" valign="middle">0.12&#x2013;0.13</td>
<td align="center" valign="middle">1.5&#x2013;1.6</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref36">Koonthongkaew et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">&#x0394;<italic>bat1,</italic> &#x0394;<italic>leu4</italic>, &#x0394;<italic>leu9</italic> mutagenesis and biosensor to obtain Leu4<sup>E86D_K191N_K374R_A445T_S481R_N515I_A568V_S601A</sup></td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">150</td>
<td align="char" valign="middle" char=".">0.96</td>
<td align="char" valign="middle" char=".">20.06</td>
<td align="char" valign="middle" char=".">0.006</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">n.a.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref84">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">genome-wide perturbation and biosensor in strain (&#x0394;<italic>bat1</italic>, &#x0394;<italic>leu9,</italic> Leu4<sup>&#x0394;S457</sup>) identified key differentially expressed genes: HOM3 &#x2193;, DIP5 &#x2193;, ZNF1 &#x2191;, respiratory chain genes (SDH3, CYT1, COX7, ROX1, ATG41) &#x2191;, cofactor balance (BNA2, NDE1 &#x2191;)</td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">150</td>
<td align="char" valign="middle" char=".">1.57</td>
<td align="char" valign="middle" char=".">32.71</td>
<td align="char" valign="middle" char=".">0.010</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">n.a.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref76">Xiao et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>K. phaffii (P. pastoris)</italic></td>
<td align="left" valign="middle">OE of Ll<italic>kivD</italic>, Sc<italic>ADH7</italic>, <italic>ILV5, ILV3, ILV6, ILV2, LEU6</italic>, &#x0394;<italic>pdc1</italic> (to decrease ethanol)</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">0.01</td>
<td align="center" valign="middle">10</td>
<td align="char" valign="middle" char=".">0.19</td>
<td align="char" valign="middle" char=".">2.64</td>
<td align="char" valign="middle" char=".">0.002</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">n.a.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref57">Siripong et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Y. lipolytica</italic></td>
<td align="left" valign="middle">OE of Sc<italic>BAT1</italic>, Sc<italic>ADH2</italic>, low expression of Sc<italic>ARO10</italic></td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">20</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.16</td>
<td align="char" valign="middle" char=".">0.001</td>
<td align="center" valign="middle">n.a.</td>
<td align="center" valign="middle">n.a.</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref86">Zhao et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x0394;: gene deletion. Subscript &#x2018;c&#x2019; or &#x2018;m&#x2019; denotes cytosolic or mitochondrial relocalization of the enzyme, respectively. Ll, <italic>Lactococcus lactis</italic>; Sc, <italic>Saccharomyces cerevisiae</italic>; Bs, <italic>Bacillus subtilis</italic>; Ec, <italic>Escherichia coli</italic>; Zm, <italic>Zymomonas mobilis.</italic>; Ti, <italic>Thermoactinomyces intermedius</italic>; n.a., information not provided from published data.</p>
</table-wrap-foot>
</table-wrap>
<p>Pyruvate is first converted to <italic>&#x03B1;</italic>-acetolactate by acetolactate synthase (<italic>ilvIH</italic>, <italic>ILV2/ILV6</italic>). Keto-acid reductoisomerase (<italic>ilvC, ILV5</italic>) reduces this intermediate to <italic>&#x03B1;</italic>,<italic>&#x03B2;</italic>-dihydroxyisovalerate using NADPH, which is subsequently dehydrated by dihydroxyacid dehydratase (<italic>ilvD, ILV3</italic>) to form <italic>&#x03B1;</italic>-ketoisovalerate (KIV). KIV partitions into two possible reactions: transamination to valine via branched-chain amino acid aminotransferases (<italic>ilvE, BAT1/BAT2</italic>), or elongation toward leucine. The first committed step in leucine biosynthesis is catalyzed by <italic>&#x03B1;</italic>-isopropylmalate synthase (<italic>leuA, LEU4/LEU9</italic>), forming &#x03B1;-IPM from KIV and acetyl-CoA. Dehydration and oxidative decarboxylation yield &#x03B1;-ketoisocaproate (KIC), which is subsequently decarboxylated by &#x03B1;-ketoacid decarboxylases (<italic>PDC1/PDC5/PDC6/ARO10</italic>) and reduced by alcohol dehydrogenases (<italic>ADH1/ADH2/ADH5/ADH6/ADH7</italic>) to produce 3MB. In yeast, Adh2 is glucose-repressed, and Adh6/7 are NADPH-dependent with strong preference for branched alcohols. Importantly, these promiscuous enzymes also produce other fusel alcohols like isobutanol and propanol, which implies that the end product is often a complex mixture of structurally related molecules.</p>
<p>While the pathway is native in yeast, bacteria lack the Ehrlich reactions and therefore require expression of the <italic>&#x03B1;</italic>-ketoacid decarboxylases KivD from <italic>Lactococcus lactis</italic> or Aro10 from <italic>S. cerevisiae</italic>, and the alcohol dehydrogenases Adh2 or Adh6 from <italic>S. cerevisiae</italic>. <italic>Ll</italic>KivD has higher specificity toward <italic>&#x03B1;</italic>-ketoisovalerate, the precursor of isobutanol. <italic>Sc</italic>Aro10 has higher selectivity toward KIC, increasing the 3MB:isobutanol ratio (<xref ref-type="bibr" rid="ref3">Atsumi et al., 2008</xref>).</p>
<p>All engineering strategies discussed in this subsection are summarized in <xref ref-type="table" rid="tab2">Table 2</xref> to facilitate visual comparison.</p>
<sec id="sec4">
<label>2.1.1</label>
<title>Engineering &#x03B1;-ipm synthase (<italic>leuA/LEU4</italic>) for enhanced 3MB production</title>
<p>&#x03B1;-Isopropylmalate (&#x03B1;-IPM) synthesis is frequently rate-limiting and tightly feedback-inhibited by leucine. Both bacterial LeuA and yeast Leu4 contain regulatory domains with leucine-binding pockets and thus feedback-inhibited by leucine (<xref ref-type="bibr" rid="ref49">Oba et al., 2005</xref>). Meanwhile, the minor isozyme in the yeast <italic>S. cerevisiae</italic>, Leu9, is resistant to such inhibition (<xref ref-type="bibr" rid="ref39">L&#x00F3;pez et al., 2015</xref>). Amino acid substitutions, especially within the regulatory domain of LeuA or Leu4, can alleviate leucine feedback-inhibition (<xref ref-type="table" rid="tab1">Table 1</xref>), and therefore key for increasing pathway flux and commonly implemented in <italic>E. coli</italic> and <italic>S. cerevisiae</italic> (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Amino acid substitutions in the &#x03B1;-isopropylmalate synthase (IPMS) regulatory domain that relieves leucine feedback inhibition.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Species</th>
<th align="left" valign="top">Amino acid substitution(s)</th>
<th align="center" valign="top">Relative IPMS activity in 10&#x202F;mM leucine</th>
<th align="center" valign="top">3MB fold increase</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="6"><italic>S. cerevisiae</italic> Leu4</td>
<td align="left" valign="top">Gly516Ser</td>
<td align="center" valign="top">65%</td>
<td align="center" valign="top">2.3</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref1">Abe et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Ser519Thr</td>
<td align="center" valign="top">120%</td>
<td align="center" valign="top">n.a.</td>
<td align="left" valign="top" rowspan="2">
<xref ref-type="bibr" rid="ref12">Cavalieri et al. (1999)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x0394;S457</td>
<td align="center" valign="top">84%</td>
<td align="center" valign="top">n.a.</td>
</tr>
<tr>
<td align="left" valign="top">Ser542Val&#x202F;+&#x202F;Ala551Val</td>
<td align="center" valign="top">59%</td>
<td align="center" valign="top">1.6</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref64">Takagi et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Asp578Tyr</td>
<td align="center" valign="top">70%</td>
<td align="center" valign="top">1.5</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref49">Oba et al. (2005)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">H541R, Y485N, Y538N, V584E, T590I</td>
<td align="center" valign="top">n.a.</td>
<td align="center" valign="top">1.9&#x2013;3.6</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref84">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>E.coli</italic> LeuA</td>
<td align="left" valign="top">leuA G462D</td>
<td align="center" valign="top">n.a.</td>
<td align="center" valign="top">n.a.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref15">Connor et al. (2010)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. glutamicum</italic> LeuA</td>
<td align="left" valign="top">R529H&#x202F;+&#x202F;G532D</td>
<td align="center" valign="top">n.a.</td>
<td align="center" valign="top">n.a.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref69">Vogt et al. (2014)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>N.a.: information not provided from published data.</p>
</table-wrap-foot>
</table-wrap>
<p>Feedback-resistant LeuA and Leu4 variants have historically been isolated through screening mutants resistant to leucine analogs such as trifluoroleucine or 4-aza-DL-leucine (<xref ref-type="table" rid="tab1">Table 1</xref>). More recently, high-throughput biosensor-based screening in yeast identified Leu4 variants with multiple substitutions in the leucine-binding pocket, increasing 3MB titers by nearly five-fold. The <italic>&#x03B1;</italic>-IPM biosensor uses a yeast-enhanced green fluorescent protein (yEGFP) reporter under the <italic>LEU1</italic> promoter, activated by Leu3 only in the presence of &#x03B1;-IPM, enabling direct selection for increased &#x03B1;-IPM formation (<xref ref-type="bibr" rid="ref84">Zhang et al., 2022</xref>).</p>
<p>In bacteria, the highest 3MB titer to date (9.5&#x202F;g/L, 0.11&#x202F;g/g glucose) was achieved in <italic>E. coli</italic> using a combination of feedback-resistant LeuA<sup>G462D</sup>, enhanced valine-pathway flux (overexpression of <italic>alsS</italic> from <italic>Bacillus subtilis,</italic> and <italic>ilvCD</italic>), and heterologous Ll<italic>kivD</italic> and Sc<italic>ADH2</italic> expression (<xref ref-type="table" rid="tab2">Table 2</xref>). The engineered strain was cultivated in a two-phase fermentation and showed relatively limited isobutanol production at 2.8&#x202F;g/L (<xref ref-type="bibr" rid="ref16">Connor and Liao, 2008</xref>).</p>
</sec>
<sec id="sec5">
<label>2.1.2</label>
<title>Engineering enzyme cofactor specificity</title>
<p>Several enzymes in the VLE pathway, including IlvC/Ilv5 and YqhD/Adh6/Adh7, are NADPH-dependent. Because central metabolism primarily regenerates NADH, cofactor imbalance often limits 3MB production. Changing cofactor specificity has proven effective to mitigate this problem. Engineering IlvC and YqhD to prefer NADH doubled fusel alcohol production in <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref75">Wu et al., 2016</xref>). In yeast, implementing a transhydrogenase-like shunt by overexpressing the anaplerotic reactions that cycles pyruvate to oxaloacetate, malate and finally pyruvate alleviated NADPH limitation and increased isobutanol titers by 1.6-fold (<xref ref-type="bibr" rid="ref42">Matsuda et al., 2013</xref>). Although not yet tested, this strategy may be interesting to help boost 3MB production.</p>
</sec>
<sec id="sec6">
<label>2.1.3</label>
<title>Maximizing vs. optimizing pathway gene expressions</title>
<p>Early studies commonly overexpressed all VLE-pathway genes using strong promoters to increase 3MB production (<xref ref-type="bibr" rid="ref4">Avalos et al., 2013</xref>; <xref ref-type="bibr" rid="ref51">Park et al., 2014</xref>; <xref ref-type="bibr" rid="ref57">Siripong et al., 2020</xref>) (<xref ref-type="table" rid="tab2">Table 2</xref>). However, strong simultaneous overexpression of eight or more enzymes imposes metabolic burden and limits 3MB yields. To mitigate this issue, studies in yeast have implemented random chromosomal integration of <italic>ILV</italic> and <italic>LEU</italic> genes, screening mutants for high 3MB production and optimal gene expression profiles. High 3MB-producing mutants consistently exhibited elevated <italic>LEU1</italic> and <italic>LEU2</italic> expressions (<xref ref-type="bibr" rid="ref81">Yuan et al., 2017a</xref>,<xref ref-type="bibr" rid="ref82">b</xref>), highlighting the importance of balanced rather than maximal expression. Other strategies such as the GEMbLeR technique may also be promising to obtain tuned expression of the different genes (<xref ref-type="bibr" rid="ref11">Cautereels et al., 2024</xref>).</p>
</sec>
<sec id="sec7">
<label>2.1.4</label>
<title>Reducing isobutanol byproduct</title>
<p>A significant challenge in the VLE pathway is minimizing the formation of byproducts, particularly isobutanol, as it shares the same upstream pathway as 3MB (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Controlling metabolic branching at KIV is critical, where conversion to <italic>&#x03B1;</italic>-ipm is desired rather than to isobutanol. An effective strategy is by expressing the feedback-resistant <italic>&#x03B1;</italic>-isopropylmalate synthase (LeuA, Leu4) that has improved activity (<xref ref-type="bibr" rid="ref16">Connor and Liao, 2008</xref>; <xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>; <xref ref-type="bibr" rid="ref51">Park et al., 2014</xref>; <xref ref-type="bibr" rid="ref29">Hammer et al., 2020</xref>; <xref ref-type="bibr" rid="ref84">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="ref76">Xiao et al., 2025</xref>). In yeast, mitochondrial re-compartmentalization of <italic>LEU</italic> genes and deletion of the mitochondrial transporter Oac1 further enhanced flux toward KIC and reduced cytosolic decarboxylation, increasing the 3MB:isobutanol ratio to &#x003E;6 (<xref ref-type="bibr" rid="ref29">Hammer et al., 2020</xref>).</p>
</sec>
<sec id="sec8">
<label>2.1.5</label>
<title>Reducing leucine byproduct</title>
<p>Minimizing the conversion of KIC to leucine increases the pool available for 3MB production. Mutagenesis of Bat1 and Bat2, resulting in variants such as Bat1<sup>G333W</sup> and Bat2<sup>G316S</sup>, reduced transamination activity and increased fusel alcohol production, including 3MB (<xref ref-type="bibr" rid="ref36">Koonthongkaew et al., 2020</xref>). Furthermore, deleting the <italic>BAT1</italic> gene combined with mitochondrial localization of leucine pathway enzymes effectively reduces &#x03B1;-ketoisovalerate diversion to valine (<xref ref-type="bibr" rid="ref29">Hammer et al., 2020</xref>). A similar approach was also performed in <italic>C. glutamicum</italic>, where Bat activity was reduced (<xref ref-type="bibr" rid="ref68">Vogt et al., 2016</xref>).</p>
</sec>
<sec id="sec9">
<label>2.1.6</label>
<title>Reducing ethanol byproduct</title>
<p>In <italic>S. cerevisiae</italic>, ethanol accumulation often remains high even when 3MB production is optimized, owing to the inherent Crabtree effect (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>). This can be addressed by producing 3MB using bacteria or other yeast species with inherently lower ethanol production. However, 3MB production using bacteria may accumulate other byproducts such as lactic acid (<xref ref-type="bibr" rid="ref68">Vogt et al., 2016</xref>). Other yeast species such as <italic>Komagataella phaffii</italic> (<italic>Pichia pastoris</italic>) and <italic>Yarrowia lipolytica</italic> (<xref ref-type="bibr" rid="ref57">Siripong et al., 2020</xref>; <xref ref-type="bibr" rid="ref86">Zhao et al., 2021</xref>) generate less ethanol but currently produce lower 3MB titers compared to <italic>S. cerevisiae</italic>.</p>
<p>Alternatively, rather than attempting to suppress ethanol production, an economically attractive strategy is to co-produce 3MB alongside ethanol. Because 3MB naturally accumulates as part of the fusel alcohol side stream in industrial bioethanol fermentation, valorizing this side stream would require relatively minimal effort for industrial implementation (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>) (see section 6.6).</p>
</sec>
<sec id="sec10">
<label>2.1.7</label>
<title>Targeting genes beyond the main 3MB pathway</title>
<p>Genome-wide perturbation in yeast using the <italic>&#x03B1;</italic>-IPM biosensor identified several non-canonical gene targets (e.g., <italic>HOM3, DIP5, BNA2, NDE1</italic>) whose deletion improved 3MB production (<xref ref-type="bibr" rid="ref84">Zhang et al., 2022</xref>). By deleting <italic>HOM3,</italic> competitive pathways toward methionine, threonine, and propanol synthesis were reduced, resulting in the highest 3MB titer reported in yeast (1.57&#x202F;g/L, 0.01&#x202F;g/g glucose) (<xref ref-type="bibr" rid="ref76">Xiao et al., 2025</xref>). In another study, <italic>in silico</italic> metabolic modeling revealed <italic>HOM3, CIT1, ALD6, EAT1</italic>, and <italic>MET17</italic> as important deletion targets that increased 3MB yields by redirecting metabolic flux from competing pathways. The deletion of <italic>ALD6, EAT1,</italic> and <italic>MET17</italic> genes increased 3MB by 2-fold and decreased acetate production. However, in contrast to the first study, <italic>HOM3</italic> deletion did not affect 3MB production (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>). This discrepancy may be due to the difference in media or aeration levels during cultivation.</p>
</sec>
</sec>
<sec id="sec11">
<label>2.2</label>
<title>Mevalonate pathway</title>
<p>The mevalonate (MVA) pathway has been widely engineered in bacteria to produce products derived from isoprenoids and isoprenol (<xref ref-type="bibr" rid="ref74">Wang C. et al., 2018</xref>, <xref ref-type="bibr" rid="ref72">2023</xref>; <xref ref-type="bibr" rid="ref33">Kang et al., 2024</xref>; <xref ref-type="bibr" rid="ref78">Yin et al., 2025</xref>). Introducing the heterologous eukaryotic MVA pathway enables the accumulation of isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP), which can be converted to isopentenols (3&#x202F;M-3-butenol and 3&#x202F;M-2-butenol) and subsequently reduced to 3MB (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>3-Methyl-1-butanol biosynthesis through the mevalonate and isovaleryl-CoA pathways in bacteria.</p>
</caption>
<graphic xlink:href="fmicb-16-1753983-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating the metabolic pathway converting acetyl-CoA to 3-methylbutanol. It shows two pathways: the mevalonate pathway (yellow highlight) and isovaleryl-CoA pathway (gray highlight). Steps involve enzymes like atoB, Sa mvaS, Sc ERG12, with inputs like ATP, NADPH, and outputs including NADP&#x207A;, ADP. Genes shown in blue are endogenous bacterial genes, while those in red are heterologous genes.</alt-text>
</graphic>
</fig>
<p>To date, 3MB production using the MVA pathway has only been tested in <italic>E. coli</italic> (<xref ref-type="table" rid="tab3">Table 3</xref>). MVA-based production of 3MB starts with the condensation of two molecules of acetyl-CoA to acetoacetyl-CoA, catalyzed by the endogenous acetoacetyl-CoA thiolase AtoB. Subsequently, the reactions from acetoacetyl-CoA to DMAPP are performed by heterologous proteins. Acetoacetyl-CoA is converted to hydroxymethylglutaryl-CoA (HMG-CoA) and reduced to MVA by HMG-CoA synthase MvaS and HMG-CoA reductase MvaA from <italic>Staphylococcus aureus</italic> (<xref ref-type="bibr" rid="ref26">George et al., 2015</xref>; <xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>). MVA is then phosphorylated twice by ATP-dependent mevalonate kinase (<italic>ERG12</italic>) and phosphomevalonate kinase (<italic>ERG8</italic>) from <italic>S. cerevisiae</italic>, yielding mevalonate diphosphate (MVAPP). This intermediate undergoes ATP-dependent decarboxylation by mevalonate diphosphate decarboxylase from <italic>S. cerevisiae</italic> (<italic>ERG19</italic>) to generate IPP. Then, IPP is isomerized to DMAPP by IPP isomerase, either by the endogenous enzyme Idi or the exogenous Idi1 from <italic>S. cerevisiae</italic>. IPP and DMAPP are then dephosphorylated by the phosphatase NudB to form the isopentenols 3-methyl-3-butenol (3&#x202F;M-3-butenol) and 3-methyl-2-butenol (3&#x202F;M-2-butenol), respectively. Finally, 3MB is produced from the reduction of 3&#x202F;M-2butenol by the reductase nemA (<xref ref-type="bibr" rid="ref14">Chou and Keasling, 2012</xref>; <xref ref-type="bibr" rid="ref26">George et al., 2015</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Comparison or engineered <italic>E. coli</italic> strains for 3MB production via the mevalonate pathway and the isovaleryl-CoA coupled to non-oxidative glycolysis pathway.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Species</th>
<th align="left" valign="top" rowspan="2">Strain engineering strategy</th>
<th align="center" valign="top" rowspan="2">Duration (h)</th>
<th align="center" valign="top" rowspan="2">Volume (L)</th>
<th align="center" valign="top" rowspan="2">Initial glucose (g/L)</th>
<th align="center" valign="top" colspan="3">3MB</th>
<th align="center" valign="top">3&#x202F;M-3butenol</th>
<th align="center" valign="top" rowspan="2">3MB/3M-3butenol</th>
<th align="left" valign="top" rowspan="2">References</th>
</tr>
<tr>
<th align="center" valign="top">Titer (g/L)</th>
<th align="center" valign="top">Rate (mg/Lh)</th>
<th align="center" valign="top">Yield (g/g)</th>
<th align="center" valign="top">Titer (g/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>E.coli</italic></td>
<td align="left" valign="middle">MVA pathway: OE of <italic>atoB</italic>, Sa<italic>mvaS</italic>, Sa<italic>mvaA</italic>, Sc<italic>ERG12</italic>, Sc<italic>ERG8</italic>, Sc<italic>ERG19</italic>, <italic>Sc</italic>Idi1-NudB fusion<italic>, nemA</italic></td>
<td align="center" valign="middle">23</td>
<td align="char" valign="middle" char=".">0.005</td>
<td align="center" valign="middle">2</td>
<td align="char" valign="middle" char=".">0.004</td>
<td align="char" valign="middle" char=".">0.17</td>
<td align="char" valign="middle" char=".">0.002</td>
<td align="center" valign="middle">0.02</td>
<td align="center" valign="middle">0.20</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref14">Chou and Keasling (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>E.coli</italic></td>
<td align="left" valign="middle">MVA pathway: OE of <italic>atoB</italic>, Sa<italic>mvaS</italic>, Sa<italic>mvaA</italic>, Sc<italic>ERG12</italic>, Sc<italic>ERG8</italic>, Sc<italic>ERG19</italic>, <italic>nemA</italic>, <italic>Sc</italic>Idi1-NudB fusion, extra plasmid for <italic>nudB</italic> overexpression two-phase fermentation with oleyl alcohol</td>
<td align="center" valign="middle">48</td>
<td align="char" valign="middle" char=".">0.05</td>
<td align="center" valign="middle">10</td>
<td align="char" valign="middle" char=".">0.30</td>
<td align="char" valign="middle" char=".">6.25</td>
<td align="char" valign="middle" char=".">0.030</td>
<td align="center" valign="middle">0.65</td>
<td align="center" valign="middle">0.46</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref26">George et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>E.coli</italic></td>
<td align="left" valign="middle">NOG + isovaleryl-CoA pathway: OE of <italic>atoB</italic>, Sa<italic>mvaS</italic>, Mx<italic>aibAB</italic>, Cf<italic>aibC</italic>, Pp<italic>liuC</italic>, Ca<italic>adhE2</italic>, deletion of <italic>adhE, ldhA, frdBC</italic> two-phase fermentation with oleyl alcohol, oxygen-limited</td>
<td align="center" valign="middle">36</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="center" valign="middle">8</td>
<td align="char" valign="middle" char=".">0.08</td>
<td align="char" valign="middle" char=".">2.24</td>
<td align="char" valign="middle" char=".">0.040</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref21">Eiben et al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OE: Gene overexpression.</p>
<p>Sa, <italic>Staphylococcus aureus</italic>; Sc, <italic>Saccharomyces cerevisiae</italic>; Mx, <italic>Myxococcus xanthus</italic>; Cf, <italic>Cyperus fuscus</italic>; Pp, <italic>Pseudomonas putida</italic>; Ca, <italic>Clostridium acetobutylicum</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>In <italic>E.coli,</italic> all genes required to convert acetyl-CoA to 3MB are typically overexpressed from plasmids under inducible promoters (e.g., IPTG-inducible systems). To compete with other native pathways utilizing IPP and DMAPP and to improve 3&#x202F;M-2butenol production, <italic>Sc</italic>Idi1 was fused with NudB, resulting in higher titers of isopentenols and 3MB (<xref ref-type="bibr" rid="ref14">Chou and Keasling, 2012</xref>). Adding an extra copy of <italic>nudB</italic>, however, increased 3&#x202F;M-3butenol but not 3&#x202F;M-2butenol. With these engineering strategies, the highest 3MB titer and yield reported via the MVA pathway were 0.3&#x202F;g/L and 0.03&#x202F;g/g glucose in a two-phase fermentation using an oleyl alcohol overlay and rich defined medium (<xref ref-type="bibr" rid="ref26">George et al., 2015</xref>). There is likely still room for further increases in production efficiency. For example, although never studied specifically for 3MB production, mvaS and mvaA from <italic>Enterococcus faecalis</italic> or <italic>Lactobacillus casei</italic> have yielded the highest mevalonate titers in <italic>E. coli</italic> (<xref ref-type="bibr" rid="ref72">Wang et al., 2023</xref>), suggesting that using these enzyme variants might help increase 3MB titers.</p>
<p>The MVA pathway naturally occurs in yeast but exhibits inherently lower flux due to the tight regulation from sterol metabolism (<xref ref-type="bibr" rid="ref72">Wang et al., 2023</xref>), and there are no public reports of engineering the MVA pathway in yeast specifically for 3MB production. Instead, engineering the MVA pathway in yeast primarily focuses on isoprenol production (<xref ref-type="bibr" rid="ref35">Kim et al., 2021</xref>; <xref ref-type="bibr" rid="ref70">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="ref6">Banerjee et al., 2024</xref>).</p>
</sec>
<sec id="sec12">
<label>2.3</label>
<title>Non-oxidative glycolysis + Isovaleryl-CoA pathway</title>
<p>Production of 3MB is also possible by combining the isovaleryl-CoA pathway with the non-oxidative glycolysis (NOG), a synthetic glycolytic route designed to maximize carbon conservation (<xref ref-type="bibr" rid="ref7">Bogorad et al., 2013</xref>; <xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>). This pathway branches from the MVA pathway at HMG-CoA and uses a heterologous set of <italic>Myxococcus xanthus</italic> enzymes to convert HMG-CoA to isovaleryl-CoA. The resulting isovaleryl-CoA is then reduced to 3MB using the butyryl-CoA reductase complex from <italic>Clostridium acetobutylicum</italic>.</p>
<p>The NOG pathway converts one glucose into three acetyl-CoAs, precisely the three required to synthesize one molecule of 3MB through the MVA or isovaleryl-CoA pathways. As a result, the NOG&#x2013;isovaleryl-CoA system loses only one carbon as CO&#x2082;. However, this carbon advantage comes at the cost of a redox imbalance because the isovaleryl-CoA pathway requires three NADH molecules per 3MB synthesized, whereas NOG generates no net ATP or NADH (<xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4.</label>
<caption>
<p>Carbon, cofactor and energy (ATP) balance, coupling glycolysis or non-oxidative glycolysis (NOG) with three possible pathways towards 3MB biosynthesis, namely <bold>(A)</bold> mevalonate (MVA), <bold>(B)</bold> valine-leucine-Ehrlich (VLE), and <bold>(C)</bold> isovaleryl-CoA pathways.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top"><bold>A</bold></th>
<th align="left" valign="top">metabolite</th>
<th align="left" valign="top">glycolysis</th>
<th align="left" valign="top"><bold>MVA</bold></th>
<th align="left" valign="top">sum</th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td align="left" valign="top">glucose</td>
<td align="left" valign="top">-1.5</td>
<td/>
<td align="left" valign="top">-1.5</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">pyruvate</td>
<td/>
<td/>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">acetyl-CoA</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">-3</td>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">3MB</td>
<td/>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">ATP</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">-3</td>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADH</td>
<td align="left" valign="top">3</td>
<td/>
<td align="left" valign="top">3</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADPH</td>
<td/>
<td align="left" valign="top">-3</td>
<td align="left" valign="top">-3</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CO<sub>2</sub></td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">B</td>
<td align="left" valign="top">metabolite</td>
<td align="left" valign="top">glycolysis</td>
<td align="left" valign="top">VLE</td>
<td align="left" valign="top">sum</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">glucose</td>
<td align="left" valign="top">-1.5</td>
<td/>
<td align="left" valign="top">-1.5</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">pyruvate</td>
<td align="left" valign="top">2</td>
<td align="left" valign="top">-2</td>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">acetyl-CoA</td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">-1</td>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">3MB</td>
<td/>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">ATP</td>
<td align="left" valign="top">3</td>
<td/>
<td align="left" valign="top">3</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADH</td>
<td align="left" valign="top">3</td>
<td/>
<td align="left" valign="top">3</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADPH</td>
<td/>
<td align="left" valign="top">-1&#x002A;</td>
<td align="left" valign="top">-1</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CO<sub>2</sub></td>
<td align="left" valign="top">1</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">C</td>
<td align="left" valign="top">metabolite</td>
<td align="left" valign="top">NOG</td>
<td align="left" valign="top">isovaleryl-CoA</td>
<td align="left" valign="top">sum</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">glucose</td>
<td align="left" valign="top">-1</td>
<td/>
<td align="left" valign="top">-1</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">pyruvate</td>
<td/>
<td/>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">acetyl-CoA</td>
<td align="left" valign="top">3</td>
<td align="left" valign="top">-3</td>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">3MB</td>
<td/>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">ATP</td>
<td/>
<td/>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADH</td>
<td/>
<td align="left" valign="top">-3</td>
<td align="left" valign="top">-3</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">NADPH</td>
<td/>
<td/>
<td align="left" valign="top">0</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">CO<sub>2</sub></td>
<td/>
<td align="left" valign="top">1</td>
<td align="left" valign="top">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>MVA, Mevalonate pathway; VLE, Valine-leucine-Ehrlich pathway. <sup>&#x002A;</sup>If using NADH-dependent yeast ADHs.</p>
</table-wrap-foot>
</table-wrap>
<p>The only published study evaluating this strategy used a two-phase fermentation with an oleyl alcohol overlay and achieved a 3MB titer of 80&#x202F;mg/L and a yield of 0.04&#x202F;g/g glucose, with 1.46&#x202F;g/L acetate as a major byproduct (<xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>) (<xref ref-type="table" rid="tab3">Table 3</xref>). The high acetate levels may result from overflow metabolism driven by the accumulation of acetyl-CoA produced via NOG. Unlike the MVA pathway that typically accumulates significant amounts of isopentenols, the NOG-isovaleryl-CoA pathway produces 3MB as the sole fusel alcohol product.</p>
</sec>
<sec id="sec13">
<label>2.4</label>
<title>Pathway and microbial host comparison</title>
<p>Each pathway differs substantially in carbon yield, ATP requirements, and cofactor balance (<xref ref-type="table" rid="tab4">Table 4</xref>). The VLE and MVA pathways are carbon-intensive when coupled to glycolysis, losing four carbons as CO&#x2082; per 3MB produced, corresponding to a theoretical yield of 0.33&#x202F;g 3MB per g glucose. The glycolysis-MVA pathway uses three NADPH per 3MB, making NADPH regeneration, such as coupling to oxidative pentose phosphate pathways or heterologous NADPH-regenerating enzymes, essential. In contrast, NOG-coupled isovaleryl-CoA pathways are more carbon-efficient (theoretical yield of 0.49&#x202F;g 3MB per g glucose) but suffer from high NADH demand, which likely would produce NADH-generating byproducts like glycerol. Instead, the isovaleryl-CoA pathway could be coupled with glycolysis that would supply the required NADH, but would also suffer more carbon losses in the form of CO<sub>2</sub>.</p>
<p>The VLE pathway implemented in <italic>E. coli</italic> has the best reported titers and yields (up to 9.5&#x202F;g/L 3MB and 0.11&#x202F;g/g glucose) (<xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>), reaching approximately 33% of the theoretical yield of 0.33&#x202F;g/g glucose. This production strain overexpresses a leucine-resistant LeuA allele along with other VLE pathway genes, and was cultivated in a two-phase fermentation setup. When implemented in <italic>C. glutamicum</italic>, the VLE pathway also enabled relatively high titers (2.76&#x202F;g/L), albeit with lower yields (0.07&#x202F;g/g glucose) and increased isobutanol byproduct formation (<xref ref-type="bibr" rid="ref68">Vogt et al., 2016</xref>). Expressing the VLE pathway in <italic>S. cerevisiae</italic> achieved substantially lower titers and yields (approximately 1.5&#x202F;g/L 3MB and 0.01&#x202F;g/g glucose) (<xref ref-type="bibr" rid="ref29">Hammer et al., 2020</xref>; <xref ref-type="bibr" rid="ref76">Xiao et al., 2025</xref>), likely due to significant carbon loss to ethanol production. Nevertheless, high 3MB selectivity and reduced isobutanol byproduct formation were observed in <italic>S. cerevisiae</italic>.</p>
<p>Strains engineered with the MVA pathway also achieve substantially lower performance, with maximum titers of only 0.3&#x202F;g/L 3MB and yields of 0.03&#x202F;g/g glucose (<xref ref-type="bibr" rid="ref26">George et al., 2015</xref>), far below the theoretical yield of 0.33&#x202F;g/g glucose. This reduced efficiency is likely attributable to the MVA pathway&#x2019;s heavy energetic burden&#x2014;requiring more ATP and NADPH per unit of 3MB than the VLE pathway&#x2014;as well as its greater genetic complexity, which involves introducing at least six heterologous genes. These factors make metabolic flux balancing far more challenging than in the VLE pathway, which is native to yeast and in bacteria requires expression of only two to three heterologous genes.</p>
<p>The NOG-isovaleryl-CoA pathway, although theoretically promising due to its superior carbon efficiency, has so far yielded only a single study reporting titers of 0.08&#x202F;g/L and a yield of 0.04&#x202F;g/g glucose, likely due to significant carbon loss to acetate and formate overflow (<xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>).</p>
<p>Although the VLE pathway implemented in bacteria currently represent the most effective strategy, they rely on plasmid-based expression systems with IPTG-inducible promoters (<xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>; <xref ref-type="bibr" rid="ref68">Vogt et al., 2016</xref>). Plasmid stability may therefore pose challenges during scale-up, and the use of costly inducers such as IPTG is unlikely to be economically viable in large scale. In yeast, the amino acid auxotrophy complementation system was often used (<xref ref-type="bibr" rid="ref29">Hammer et al., 2020</xref>; <xref ref-type="bibr" rid="ref76">Xiao et al., 2025</xref>), complicating cultivation in industrial media that often contains the amino acid as selective marker (<xref ref-type="bibr" rid="ref52">Pronk, 2022</xref>). However, re-engineering these pathways into industrial hosts, using markerless systems and stable genome integrations should not be an issue, especially when some of the newer technologies, such as CRISPR-Cas, are used. Selection of an optimal host and pathway will ultimately also depend on substrate type, desired product profile, byproduct tolerance, oxygen requirements, and fermentation scale.</p>
</sec>
</sec>
<sec id="sec14">
<label>3</label>
<title>Utilization of more sustainable feedstocks</title>
<p>Research on microbial 3MB production has primarily relied on pure glucose derived from sugarcane or sugar beet. Although effective, these feedstocks raise sustainability concerns, especially competition for land and food production. As a result, alternative substrates, such as lignocellulosic biomass (e.g., corn stover, sugarcane bagasse), industrial residues, and food waste, have gained attention for bio-based chemical production (<xref ref-type="bibr" rid="ref23">Ewing et al., 2022</xref>) (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<p>Efforts to produce 3MB from these sustainable substrates remain limited but encouraging. For example, <italic>Brevibacterium flavum</italic> engineered with heterologous leucine and Ehrlich pathway genes (Sc<italic>LEU1</italic>, Sc<italic>LEU4</italic>, Sc<italic>ADH2</italic>, and Ll<italic>kivD</italic>) converted acid-hydrolyzed duckweed into 0.78&#x202F;g/L 3MB and 0.3&#x202F;g/L isobutanol (<xref ref-type="bibr" rid="ref62">Su et al., 2017</xref>). Applying the same strategy in <italic>Corynebacterium crenatum</italic> yielded 1.34&#x202F;g/L 3MB and 0.73&#x202F;g/L isobutanol from duckweed hydrolysate (<xref ref-type="bibr" rid="ref61">Su et al., 2016</xref>).</p>
<p>Beyond carbohydrate feedstocks, several studies have explored producing 3MB from protein hydrolysates. <italic>E. coli</italic> engineered with three exogenous transamination&#x2013;deamination cycles increased amino-acid catabolism to produce branched-chain amino acids, yielding ~2&#x202F;g/L isobutanol and ~2&#x202F;g/L mixed 2&#x202F;MB/3MB (<xref ref-type="bibr" rid="ref31">Huo et al., 2011</xref>). Another <italic>E. coli</italic> strain carrying NADH-specific variants of IlvC and YqhD produced 0.72&#x202F;g/L 2&#x202F;MB/3MB and 0.2&#x202F;g/L isobutanol from algal hydrolysate (<xref ref-type="bibr" rid="ref75">Wu et al., 2016</xref>). In follow-up work, this strain was engineered to overexpress 3MB biosynthetic genes and was co-cultured with a second strain engineered to convert C5&#x2013;C6 sugars into isobutanol, yielding 1&#x202F;g/L 3MB and 6.5&#x202F;g/L isobutanol from distillers&#x2019; grain hydrolysate (<xref ref-type="bibr" rid="ref38">Liu et al., 2017</xref>).</p>
<p>Photosynthetic production of branched alcohols has also been demonstrated. <italic>Synechocystis</italic> sp. expressing a synthetic Ehrlich pathway (Bs<italic>alsS</italic>, Ec<italic>ilvC</italic>, Ec<italic>ilvD</italic>, and a mutant Ll<italic>kivD</italic><sup>S286T</sup>) produced 0.389&#x202F;g/L 3MB and 1.15&#x202F;g/L isobutanol directly from CO&#x2082; and light over 48&#x202F;days (<xref ref-type="bibr" rid="ref77">Xie et al., 2023</xref>). Although productivities remain low, this approach highlights a land-independent, solar-driven production route.</p>
<p>An alternative strategy is valorizing fusel-alcohol byproducts from industrial bioethanol fermentation. <italic>S. cerevisiae</italic> naturally produces fusel alcohols at ~0.25% of ethanol titers (<xref ref-type="bibr" rid="ref20">dos Santos et al., 2024</xref>). Rather than eliminating ethanol, 3MB could be obtained from these byproduct streams. Given global ethanol production (&#x003E;110 billion liters per year) (<xref ref-type="bibr" rid="ref53">RFA, 2024</xref>), even small improvements in fusel alcohol yield could generate significant volumes of 3MB. This strategy was evaluated using an engineered <italic>S. cerevisiae</italic> strain with <italic>ALD6</italic>, <italic>EAT1</italic>, and <italic>MET17</italic> deletions and expressing Leu4<sup>S542F A551V</sup> that increased 3MB by 4-fold and reduced acetate without compromising ethanol production (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>), suggesting a promising industrial application (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Comparison of strain engineering strategies for 3MB production from sustainable feedstocks via the valine-leucine-Ehrlich pathway.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Species</th>
<th align="left" valign="top" rowspan="2">Strain engineering strategy</th>
<th align="center" valign="top" rowspan="2">Duration (h)</th>
<th align="center" valign="top" rowspan="2">Volume (L)</th>
<th align="left" valign="top" rowspan="2">Substrate, (g/L)</th>
<th align="center" valign="top" colspan="3">3MB</th>
<th align="center" valign="top">Isobutanol</th>
<th align="center" valign="top" rowspan="2">3MB/isobutanol</th>
<th align="left" valign="top" rowspan="2">References</th>
</tr>
<tr>
<th align="center" valign="bottom">Titer (g/L)</th>
<th align="center" valign="bottom">Rate (mg/Lh)</th>
<th align="center" valign="bottom">Yield (g/g)</th>
<th align="center" valign="bottom">Titer (g/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>S. cerevisiae</italic></td>
<td align="left" valign="top">LEU4<sup>S542V_A551V</sup>, &#x0394;<italic>ald6</italic>, &#x0394;<italic>eat1</italic>, &#x0394;<italic>met17</italic> (deletion of 1 chromosomal copy)</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">0.1</td>
<td align="left" valign="top">Sugarcane molasses, 250</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">5.00</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.025</td>
<td align="center" valign="top">9.60</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref79">Yogiswara et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>E.coli</italic></td>
<td align="left" valign="top">mutant <italic>IlvC</italic> and <italic>YqhD</italic> (cofactor specificity changed from NADPH to NADH)</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">Algal biomass hydrolysate, 20</td>
<td align="center" valign="top">0.72&#x002A;</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">3.60</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref75">Wu et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6"><italic>E.coli</italic></td>
<td align="left" valign="top" rowspan="4">Distiller&#x2019;s spent grain hydrolysate 1:15 BLF2: AY3 ratio co-culture: (BLF2) OE Bs<italic>alsS</italic>, <italic>ilvC, ilvD,</italic> Ll<italic>kivD</italic>, <italic>yqhD</italic>, dedicated to convert C5-C6 sugars to isobutanol, and (AY3) OE <italic>ilvE, ilvA, sdaB</italic>, Bs<italic>alsS</italic>, <italic>ilvC</italic>, <italic>ilvD, avtA,</italic> Ti<italic>leuDH</italic>, Ll<italic>kivD</italic>, <italic>yqhD</italic> dedicated to convert free amino acids to 3MB</td>
<td align="center" valign="top" rowspan="4">52</td>
<td align="center" valign="top" rowspan="4">0.02</td>
<td align="left" valign="top">Glucose, 6</td>
<td align="center" valign="top" rowspan="4">1</td>
<td align="center" valign="top" rowspan="4">19.2</td>
<td align="center" valign="top" rowspan="4">0.037</td>
<td align="center" valign="top" rowspan="4">6.5</td>
<td align="center" valign="top" rowspan="4">0.15</td>
<td align="left" valign="top" rowspan="6">
<xref ref-type="bibr" rid="ref38">Liu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Xylose, 10</td>
</tr>
<tr>
<td align="left" valign="top">Arabinose, 7</td>
</tr>
<tr>
<td align="left" valign="top">Free AA, 17.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Nannochloropsis sp. microalgae hydrolysate, 1:4 BLF: AY3 ratio</td>
<td align="center" valign="top" rowspan="2">48</td>
<td align="center" valign="top" rowspan="2">0.02</td>
<td align="left" valign="top">Sugars, 5</td>
<td align="center" valign="top" rowspan="2">2.2</td>
<td align="center" valign="top" rowspan="2">45.8</td>
<td align="center" valign="top" rowspan="2">0.14</td>
<td align="center" valign="top" rowspan="2">2.3777</td>
<td align="center" valign="top" rowspan="2">0.93</td>
</tr>
<tr>
<td align="left" valign="top">Proteins, 38.7</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. crenatium</italic></td>
<td align="left" valign="top">Mutagenesis, OE of Sc<italic>LEU1</italic>, Sc<italic>LEU2</italic>, Llk<italic>ivD</italic>, Sc<italic>ADH6</italic></td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">0.05</td>
<td align="left" valign="top">Acid hydrolyzed duckweed, 60</td>
<td align="center" valign="top">1.34</td>
<td align="center" valign="top">13.99</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">0.728</td>
<td align="center" valign="top">1.84</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref61">Su et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>B flavum</italic></td>
<td align="left" valign="top">Mutagenesis, OE Sc<italic>LEU1,</italic> Sc<italic>LEU4</italic>, Ll<italic>kivD</italic>, Sc<italic>ADH2</italic></td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">0.05</td>
<td align="left" valign="top">Acid hydrolyzed duckweed, 60</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">10.85</td>
<td align="center" valign="top">0.013</td>
<td align="center" valign="top">0.3</td>
<td align="center" valign="top">2.60</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref62">Su et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>E.coli</italic></td>
<td align="left" valign="top">Three exogenous transamination and deamination pathways: OE of Ti<italic>LeuDH, ilvE, avtA, ilvA, sdaB, alsS, ilvC, ilvD, kivD, yqhD,</italic> &#x0394;<italic>gdhA, &#x0394;glnA, &#x0394;lsrA</italic></td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">NA</td>
<td align="left" valign="top">Free AA, 21.64</td>
<td align="center" valign="top">1.88</td>
<td align="center" valign="top">22.4</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.94</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref31">Huo et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Synechocystis</italic> sp.</td>
<td align="left" valign="top">OE of codon-optimized alcohol dehydrogenase slr11920P, Bs<italic>alsS</italic>, Ec<italic>ilvC,</italic> Ec<italic>ilvD,</italic> Ll<italic>kivD<sup>S286T</sup></italic> (mutation for improved activity for isobutanol and 3MB)</td>
<td align="center" valign="top">1,152</td>
<td/>
<td align="left" valign="top">Photons, CO<sub>2</sub></td>
<td align="center" valign="top">0.389</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">1.155</td>
<td align="center" valign="top">0.34</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref77">Xie et al. (2023)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x0394;: gene deletion. Subscript &#x2018;c&#x2019; or &#x2018;m&#x2019; denotes cytosolic or mitochondrial relocalization of the enzyme, respectively. Ll, <italic>Lactococcus lactis</italic>; Sc, <italic>Saccharomyces cerevisiae</italic>; Bs, <italic>Bacillus subtilis</italic>; Ec, <italic>Escherichia coli</italic>; Ti, <italic>Thermoactinomyces intermedius</italic>. Titer&#x002A;: mixture of 2&#x202F;MB and 3MB.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>4</label>
<title>Increasing microbial resistance toward 3MB toxicity</title>
<p>Alcohols have been shown to damage the cell membranes of yeasts and bacteria by altering membrane fluidity. Toxicity increases with alcohol chain length, as longer-chain alcohols such as 3MB partition more deeply into lipid bilayers, disrupting lipid packing and exacerbating membrane damage (<xref ref-type="bibr" rid="ref19">Deparis et al., 2017</xref>; <xref ref-type="bibr" rid="ref74">Wang S. et al., 2018</xref>). In <italic>E. coli</italic> and <italic>S. cerevisiae</italic>, when exposed to 5&#x202F;g/L of extracellular 3MB, cell growth decreased by roughly 50% (<xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>; <xref ref-type="bibr" rid="ref57">Siripong et al., 2020</xref>; <xref ref-type="bibr" rid="ref71">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="ref59">Song et al., 2024</xref>). As engineered <italic>E. coli</italic> strains often produce 3MB close to their toxicity threshold, growth inhibition can become a major bottleneck limiting further titer improvements. Two primary strategies have been explored to mitigate this problem: (i) adaptive laboratory evolution (ALE) to enhance cellular tolerance, and (ii) <italic>in situ</italic> product removal methods to prevent 3MB accumulation in the medium (discussed in the Fermentation Optimization section).</p>
<p>ALE has been applied in <italic>E. coli</italic> by gradually increasing extracellular 3MB concentrations across generations. The resulting evolved strain maintained similar growth rates with or without 5&#x202F;g/L 3MB, indicating improved tolerance (<xref ref-type="bibr" rid="ref71">Wang et al., 2020</xref>). However, whether this strain produces higher 3MB titers in toxin-free media remains untested. Nonetheless, extensive work on evolving tolerance to related branched-chain alcohols&#x2014;such as isobutanol and n-butanol&#x2014;in both bacteria and yeast provides a strong foundation for future 3MB-specific efforts (<xref ref-type="bibr" rid="ref40">Luan et al., 2015</xref>; <xref ref-type="bibr" rid="ref47">Mukhopadhyay, 2015</xref>; <xref ref-type="bibr" rid="ref17">Crook et al., 2016</xref>; <xref ref-type="bibr" rid="ref63">Su et al., 2021</xref>).</p>
<p>Recent transcriptomic analysis in <italic>S. cerevisiae</italic> revealed that exposure to 2.5&#x202F;g/L 3MB down-regulates genes involved in cell wall and membrane integrity, and up-regulates genes associated with ATP and NADPH biosynthesis (<xref ref-type="bibr" rid="ref59">Song et al., 2024</xref>). These responses highlight potential engineering targets: maintaining cell wall stability and cell membrane fluidity, and enhancing energy/redox-cofactor generation to counteract 3MB-induced stress. Similarly, a 3MB-tolerant <italic>E. coli</italic> strain evolved through ALE showed increased energy metabolism, including redistribution of central carbon fluxes and up-regulation of genes in the electron transport chain and ATP synthesis. Mutations were also identified in regulators of the stationary-phase sigma factor RpoS, which modulates numerous stress responses (<xref ref-type="bibr" rid="ref71">Wang et al., 2020</xref>). While these cellular processes could in principle be targets for engineering 3MB resistance, such targeted approaches toward complex stresses are often not very effective.</p>
<p>Another approach to bypass the toxicity issue altogether is to employ microbial hosts that naturally withstand higher 3MB concentrations. For example, <italic>K. phaffii</italic> (<italic>P. pastoris</italic>) maintains normal cell densities up to at least 8&#x202F;g/L of extracellular 3MB, although higher concentrations have not been tested. Despite this tolerance advantage, engineered <italic>K. phaffii</italic> strains currently achieve much lower 3MB titers than <italic>S. cerevisiae</italic>&#x2014;only 0.19&#x202F;g/L with a yield of 0.002&#x202F;g/g glucose when overexpressing the VLE pathway (<xref ref-type="bibr" rid="ref57">Siripong et al., 2020</xref>). Further pathway optimization or integration with tolerance mechanisms described above could improve its competitiveness as a production host.</p>
</sec>
<sec id="sec16">
<label>5</label>
<title>Fermentation optimization</title>
<p>One of the most common fermentation optimization strategies for increasing 3MB production is the use of two-phase fermentation, in which an immiscible organic solvent overlays the culture. This approach enables <italic>in situ</italic> removal of 3MB as it is produced, thereby reducing its concentration in the aqueous phase, mitigating toxicity, and improving overall productivity. An additional advantage is that product extraction occurs simultaneously with fermentation, eliminating the need for a separate downstream extraction step (<xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>; <xref ref-type="bibr" rid="ref26">George et al., 2015</xref>; <xref ref-type="bibr" rid="ref81">Yuan et al., 2017a</xref>,<xref ref-type="bibr" rid="ref82">b</xref>; <xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>). In <italic>E. coli</italic>, two-phase systems often boost 3MB titers by two- to threefold when oleyl alcohol is used (<xref ref-type="bibr" rid="ref15">Connor et al., 2010</xref>; <xref ref-type="bibr" rid="ref26">George et al., 2015</xref>). Although less studied in yeast, the benefits are likely to be similar.</p>
<p>Another extraction strategy involves using supercritical CO&#x2082; (sCO&#x2082;), which can simultaneously extract higher alcohols, improve product purity, and reduce microbial contamination. However, sCO&#x2082; is itself toxic to most microorganisms due to the high pressures required. Only a limited number of species can tolerate these conditions, such as a <italic>Bacillus megaterium</italic> strain that has been engineered to produce isobutanol and 3MB and successfully tested with sCO&#x2082;-based <italic>in situ</italic> extraction (<xref ref-type="bibr" rid="ref8">Boock et al., 2019</xref>).</p>
<p>Media pH also influences 3MB production. In <italic>S. cerevisiae</italic>, screening pH 3&#x2013;7 revealed that pH 3 without salt supplementation yielded the highest 3MB titers. Low pH led to transcriptional changes in genes associated with valine and leucine biosynthesis, NAD metabolism, the TCA cycle, and glutamate metabolism (<xref ref-type="bibr" rid="ref55">Schoondermark-Stolk et al., 2006</xref>), highlighting several candidate targets for future engineering.</p>
</sec>
<sec id="sec17">
<label>6</label>
<title>Future perspectives</title>
<p>Although substantial progress has been made across the VLE, MVA, and isovaleryl-CoA pathways, several cross-cutting challenges&#x2014;byproduct reduction, cofactor balance, toxicity, cost of growth media and industrial scalability&#x2014;continue to constrain 3MB&#x2019;s commercial viability. This section synthesizes the major opportunities and future directions for advancing 3MB biosynthesis.</p>
<sec id="sec18">
<label>6.1</label>
<title>Reducing pathway byproducts</title>
<p>Isobutanol formation remains the principal competing flux in the VLE pathway. Future progress could rely on protein engineering of <italic>&#x03B1;</italic>-ketoacid decarboxylases, such as generating <italic>Ll</italic>kivD variants with higher KIC selectivity for a more selective 3MB synthesis (<xref ref-type="bibr" rid="ref41">Mak et al., 2015</xref>; <xref ref-type="bibr" rid="ref13">Chen et al., 2017</xref>; <xref ref-type="bibr" rid="ref44">Miao et al., 2018</xref>). Fine-tuning <italic>ILV, LEU, PDC</italic>, and <italic>ADH</italic> gene expression using genome-scale engineering tools such as GEMbLeR could also be a strategy to optimize the VLE pathway (<xref ref-type="bibr" rid="ref11">Cautereels et al., 2024</xref>). Moreover, biosensor-guided adaptive evolution using &#x03B1;-IPM or 3MB-responsive sensors could be an efficient approach to enrich for strains with improved 3MB production (<xref ref-type="bibr" rid="ref80">Yu et al., 2019</xref>; <xref ref-type="bibr" rid="ref84">Zhang et al., 2022</xref>).</p>
<p>One of the major challenge of producing 3MB through the MVA pathway is the formation of high levels of isopentenols, especially 3&#x202F;M-3butenol, which often accumulate to concentrations 5&#x2013;7 fold higher than 3MB (<xref ref-type="bibr" rid="ref14">Chou and Keasling, 2012</xref>; <xref ref-type="bibr" rid="ref26">George et al., 2015</xref>). One strategy to address this is to improve the substrate specificity of NudB so it prefers DMAPP over IPP. For example, the <italic>E. coli</italic> ADP-ribose pyrophosphate gene <italic>nudF</italic> has higher specificity to 3&#x202F;M-2butenol. Overexpressing <italic>nudF</italic> increased 3&#x202F;M-2butenol to five times the level of 3&#x202F;M-3butenol (<xref ref-type="bibr" rid="ref87">Zheng et al., 2013</xref>). Coexpressing <italic>nudF</italic> with <italic>nemA</italic> could potentially further improve 3MB production.</p>
</sec>
<sec id="sec19">
<label>6.2</label>
<title>Leveraging isobutanol research for 3MB via VLE</title>
<p>Extensive research on isobutanol biosynthesis could provide a strong foundation for engineering 3MB production via the VLE pathway. Many isobutanol strains naturally generate 3MB, making them attractive chassis for redirection toward 3MB with minimal redesign. Introducing leucine-resistant LeuA or Leu4 variants, increasing leucine pathway flux, and improving &#x03B1;-ketoacid decarboxylase specificity could be key strategies to shift carbon flow toward &#x03B1;-KIC and 3MB. Given the significant progress made in diverse hosts, feedstocks, and fermentation strategies for isobutanol (<xref ref-type="bibr" rid="ref18">De Lima et al., 2024</xref>; <xref ref-type="bibr" rid="ref48">Nawab et al., 2024</xref>), these insights can be readily transferred to 3MB engineering.</p>
</sec>
<sec id="sec20">
<label>6.3</label>
<title>Cell-free systems</title>
<p>Cell-free biosynthesis offers a promising alternative to circumvent limitations imposed by living cells, including 3MB toxicity, pathway byproduct formation, and constraints on NAD(P)H availability. Recent work on isobutanol demonstrated that cell-free enzyme cascades can achieve exceptionally high titers and yields (275&#x202F;g/L, 0.95&#x202F;g/g glucose) (<xref ref-type="bibr" rid="ref56">Sherkhanov et al., 2020</xref>), suggesting considerable potential for 3MB if enzyme sets are tailored for the &#x03B1;-IPM - &#x03B1;-KIC - 3MB conversion. Interestingly, early work in 1983 already demonstrated 3MB formation from leucine using <italic>Streptococcus lactis</italic> extracts (<xref ref-type="bibr" rid="ref9">Braun et al., 1983</xref>), yet this concept has not been revisited.</p>
</sec>
<sec id="sec21">
<label>6.4</label>
<title>Process optimization and scale-up</title>
<p>Process optimization for 3MB production, from media, growth conditions, reactor design, and downstream processing, has received relatively little exploration compared to strain engineering. Parameters such as temperature, pH, dissolved oxygen, and nutrient-feeding strategies greatly influence metabolic fluxes (<xref ref-type="bibr" rid="ref60">Stanbury et al., 2016</xref>) and represent untapped opportunities to improve productivity.</p>
<p>Current evidence reveals markedly different aeration requirements depending on the host organism and pathway. Insights from metabolic engineering studies suggest that enhanced aerobicity may benefit 3MB production in yeast via the VLE pathway. A genome-wide perturbation study found upregulated respiratory genes in high-3MB-producing strains (<xref ref-type="bibr" rid="ref76">Xiao et al., 2025</xref>), and increased oxygenation has been linked to higher alcohol formation during wine fermentation (<xref ref-type="bibr" rid="ref66">Valero et al., 2002</xref>). For 3MB production via the MVA pathway, even higher aeration levels may be required to meet the substantial ATP demands of the pathway. In contrast, microaerobic conditions favor 3MB production in <italic>E. coli</italic> via the isovaleryl-CoA pathway by suppressing competing prenol formation (<xref ref-type="bibr" rid="ref21">Eiben et al., 2020</xref>).</p>
<p>Most studies to date rely on small-scale batch fermentations (&#x2264;0.1&#x202F;L), underscoring that process development and industrial implementation remains in its infancy. Established industrial approaches such as fed-batch cultivation, where carbon feeding is controlled to achieve stable optimal carbon concentrations in the medium, could further increase titers by limiting overflow metabolism and catabolite repression (<xref ref-type="bibr" rid="ref80">Yu et al., 2019</xref>; <xref ref-type="bibr" rid="ref85">Zhang et al., 2019</xref>). For the production of fermented beverages, higher alcohol formation has been shown to be significantly enhanced under fed-batch conditions (<xref ref-type="bibr" rid="ref67">Visinoni et al., 2022</xref>).</p>
<p>Conversely, the selection and engineering of chassis strains with high stress tolerance and fitness under industrial conditions represent another important route for process optimization (<xref ref-type="bibr" rid="ref58">Smets et al., 2025</xref>; <xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>; <xref ref-type="bibr" rid="ref89">Zhu et al., 2025</xref>). Further engineering efforts aimed at improving tolerance to high sugar or osmotic stress, elevated temperatures, and reduced nutrient or oxygen availability could further enhance productivity, as comprehensively summarized in recent review articles (<xref ref-type="bibr" rid="ref19">Deparis et al., 2017</xref>; <xref ref-type="bibr" rid="ref46">Mohedano et al., 2022</xref>).</p>
<p>Beyond yield optimization and strain robustness, economic considerations play a critical role in process feasibility. Factors such as inducer cost, strain stability, and long-term viability can significantly influence overall process economics. Many promising strains discussed in this review rely on plasmid-based and IPTG-based inducible expression systems. However, plasmid instability remains a challenge during scale-up because plasmids are sometimes lost during cell division or undergo structural rearrangements that result in reduced yields. The use of minimal plasmids or genomic integration of pathway genes could substantially improve genetic stability over extended cultivation periods (<xref ref-type="bibr" rid="ref50">Oliveira et al., 2009</xref>). Moreover, costly gene expression inducers such as IPTG may significantly increase production costs at industrial scale. Alternative strategies, including self-inducible expression systems or autoinduction media, could help mitigate these costs (<xref ref-type="bibr" rid="ref54">Rosano et al., 2019</xref>).</p>
<p>Downstream purification is another critical consideration, particularly for 3MB production via the VLE pathway, where structurally similar fusel alcohol byproducts complicate separation. Several studies have explored separation strategies for fusel alcohol mixtures and may provide a foundation for the development of 3MB-specific purification processes (<xref ref-type="bibr" rid="ref24">Ferreira et al., 2013</xref>; <xref ref-type="bibr" rid="ref43">Mendoza-Pedroza et al., 2021</xref>; <xref ref-type="bibr" rid="ref45">Missyurin et al., 2024</xref>).</p>
</sec>
<sec id="sec22">
<label>6.5</label>
<title>Innovations in <italic>in situ</italic> product removal</title>
<p><italic>In situ</italic> product removal (ISPR) remains another effective yet underexplored optimization strategy. To date, 3MB removal has primarily relied on liquid&#x2013;liquid extraction using solvent overlays. However, ISPR approaches developed for butanol and isobutanol, such as gas stripping, pervaporation, liquid-membrane extraction, and vacuum stripping (<xref ref-type="bibr" rid="ref37">Lakshmi et al., 2021</xref>; <xref ref-type="bibr" rid="ref30">Huang and Ma, 2023</xref>), are potential candidates for adaptation to 3MB. Commercial-scale isobutanol production already employs low-pressure evaporation to continuously flash product from the broth (<xref ref-type="bibr" rid="ref27">Gevo, 2023</xref>). Given that 3MB has a higher vapor pressure than isobutanol, evaporation-based technologies may prove particularly efficient for mitigating toxicity and increasing achievable titers.</p>
</sec>
<sec id="sec23">
<label>6.6</label>
<title>Co-production of 3MB with bioethanol</title>
<p>Despite substantial progress in engineering yeast for 3MB production, current titers and yields remain far below what is needed for cost-effective standalone fermentation. An alternative opportunity comes from the fact that large-scale bioethanol plants already generate 3MB naturally as part of the fusel alcohol byproduct stream (<xref ref-type="bibr" rid="ref20">dos Santos et al., 2024</xref>). Leveraging this existing stream bypasses several challenges associated with <italic>de novo</italic> pathway optimization, provided that 3MB can be recovered at sufficiently high purity. However, fusel alcohol mixtures are difficult and energy-intensive to fractionate, due to the heterogeneous azeotropes that occur between 3MB, water, ethanol and other fusel alcohols (<xref ref-type="bibr" rid="ref43">Mendoza-Pedroza et al., 2021</xref>). Increasing both the yield and the purity of 3MB within this stream may substantially reduce downstream separation costs. A recent work illustrates this potential: an engineered strain expressing Leu4<sup>S542F A551V</sup> combined with <italic>ALD6</italic>, <italic>EAT1</italic>, and <italic>MET17</italic> deletions has an increased 3MB titers and purity within the fusel alcohol stream from 42 to 71%, without compromising ethanol productivity (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>). Implementing such a strain would enable bioethanol producers to maintain their primary ethanol output while generating additional revenue from 3MB co-production.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec24">
<label>7</label>
<title>Conclusion</title>
<p>This review summarizes the current state of microbial 3MB production, from its growing industrial relevance to the biological and process engineering strategies that are key to efficient biosynthesis. Driven by demand in fuels, flavors, fragrances, and specialty chemicals, global 3MB consumption is expected to keep increasing, underscoring the need for sustainable microbial-based processes that can compete with petrochemical-derived production.</p>
<p>Comparing the main biosynthetic pathways leading from central carbon metabolism to 3MB and their implementation in different microbial hosts shows that engineered strains of <italic>E. coli</italic>, <italic>C. glutamicum</italic> and <italic>S. cerevisiae</italic> exploiting the VLE pathway currently achieve the most promising combinations of titer, productivity rate and yield. Importantly, each of these chassis comes with distinct trade-offs in terms of byproduct spectra and process requirements. Key engineering strategies such as feedback-resistant <italic>&#x03B1;</italic>-IPM synthases, tuning expressions of pathway genes and implementing two-phase fermentation have significantly enhanced 3MB production.</p>
<p>Although substantial progress has been made, several key challenges still constrain industrial implementation. Isobutanol and other fusel alcohols remain significant byproducts in many systems, and pathway expression is frequently maintained on multi-copy plasmids with costly inducers (i.e., IPTG) or auxotrophic markers, and most studies are still performed at small scale under batch conditions. Addressing these limitations will require more selective pathway and enzyme engineering, stable genomic integration strategies and a stronger emphasis on process design, including <italic>in situ</italic> product removal and substrate feeding strategies.</p>
<p>Looking forward, the close biochemical relationship between 3MB and isobutanol biosynthesis offers a practical shortcut for strain development: established isobutanol chassis and engineering strategies can be repurposed to accelerate 3MB improvement by redirecting flux toward 3MB formation. In parallel, cell-free production systems provide a way to bypass inherent cellular constraints such as product toxicity, cofactor imbalance and competing fusel alcohol pathways.</p>
<p>Perhaps the biggest hurdle is that biosynthesis of 3MB is currently not (yet) economically favorable, which limits the interest for intensified research, scale-up and industrial implementation. In that respect, our own study focusing on 3MB production as a side stream of the existing bioethanol industry might provide an interesting option to start industrial trials since it reduces the investments needed for building new facilities and processes, and because it combines the income of the produced bioethanol with the additional revenue from 3MB sales (<xref ref-type="bibr" rid="ref79">Yogiswara et al., 2025</xref>).</p>
<p>Together, these directions could accelerate the development of competitive, sustainable 3MB production platforms.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec25">
<title>Author contributions</title>
<p>SY: Writing &#x2013; original draft. KV: Supervision, Resources, Writing &#x2013; review &#x0026; editing, Funding acquisition.</p>
</sec>
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<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
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<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. ChatGPT 5.0 was used to correct grammar and improve sentence structures of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1047529/overview">Yun-Peng Chao</ext-link>, Feng Chia University, Taiwan</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1524080/overview">Victor Ujor</ext-link>, University of Wisconsin-Madison, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2223931/overview">Jae Won Lee</ext-link>, Sungshin Women&#x2019;s University, Republic of Korea</p>
</fn>
</fn-group>
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</article>