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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Syst. Biol.</journal-id>
<journal-title>Frontiers in Systems Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Syst. Biol.</abbrev-journal-title>
<issn pub-type="epub">2674-0702</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1620608</article-id>
<article-id pub-id-type="doi">10.3389/fsysb.2025.1620608</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systems Biology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A <italic>Pseudomonas fluorescens</italic> AND-gate biosensor for protein expression at plant root proximity</article-title>
<alt-title alt-title-type="left-running-head">van Donk et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fsysb.2025.1620608">10.3389/fsysb.2025.1620608</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>van Donk</surname>
<given-names>Nico</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/3103457/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Raynal</surname>
<given-names>Antoine</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/3142533/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asin-Garcia</surname>
<given-names>Enrique</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1908633/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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</contrib>
</contrib-group>
<aff>
<institution>Bioprocess Engineering Group</institution>, <institution>Wageningen University &#x26; Research</institution>, <addr-line>Wageningen</addr-line>, <country>Netherlands</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2787351/overview">Liping Wang</ext-link>, University of Guelph, Canada</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/666864/overview">Jose Utrilla</ext-link>, National Autonomous University of Mexico, Mexico</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/921635/overview">Beatriz Jorrin</ext-link>, University of Oxford, United Kingdom</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Enrique Asin-Garcia, <email>enrique.asingarcia@wur.nl</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>5</volume>
<elocation-id>1620608</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 van Donk, Raynal and Asin-Garcia.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>van Donk, Raynal and Asin-Garcia</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>By 2050, global population growth will significantly increase food demand, placing additional pressure on agriculture, a sector already vulnerable to climate change. Traditional approaches like fertilizers and pesticides have helped boost yields but are increasingly seen as unsustainable. As bioengineering becomes more accessible, engineered soil microorganisms are emerging as promising alternatives. However, their application in the rhizosphere is often limited by poor survivability and the high metabolic cost of expressing heterologous genes without appropriate regulation. To address this, we developed a microbial whole-cell biosensor that activates gene expression only under favorable conditions: in close proximity to plant roots and at high bacterial population densities. We engineered the pSal/nahR system in our host <italic>Pseudomonas fluorescens</italic> SBW25 to respond to salicylic acid, a key root exudate. In parallel, we implemented a quorum sensing system based on LuxI and the luxpR/LuxR pair to monitor cell density. Both inputs were integrated using a toehold switch-based AND gate, triggering expression only when both conditions were met. This strategy minimizes metabolic burden and offers a tightly controlled system for expression at target locations. While further validation in rhizosphere-like conditions is required, our results provide a foundation for safer open-environment applications of microorganisms, making this biosensor a versatile tool for future agricultural biotechnology.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<caption>
<p>A <italic>Pseudomonas fluorescens</italic> AND-gate biosensor. <italic>Pseudomonas fluorescens</italic> SBW25 was engineered to detect two signals: root exudates indicating proximity to plant roots, and quorum sensing molecules indicating a sufficient bacterial population. These inputs were integrated using a genetic AND gate, creating a biosensor that activates gene expression only under optimal conditions for root-associated delivery. The biosensor can be used to control various target genes, making it broadly applicable across multiple agricultural applications.</p>
</caption>
<graphic xlink:href="FSYSB_fsysb-2025-1620608_wc_abs.tif">
<alt-text content-type="machine-generated">Pseudomonas fluorescens SBW25 was engineered as a biosensor that responds only when two specific signals are present: chemicals from plant roots and bacterial population signals. These inputs are processed through a genetic AND gate, meaning the sensor activates only under the right conditions near plant roots. This system can control different genes, making it useful for various agricultural purposes, such as targeted delivery of beneficial compounds.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>
<italic>Pseudomonas</italic> <italic>fluorescens</italic> SBW25</kwd>
<kwd>biosensor</kwd>
<kwd>genetic circuit</kwd>
<kwd>rhizosphere microbiome engineering</kwd>
<kwd>toehold switch</kwd>
<kwd>root exudates</kwd>
<kwd>quorum sensing</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Integrative Genetics and Genomics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>By 2050, the world&#x2019;s population is expected to grow by 30%, making food security an increasingly urgent challenge (<xref ref-type="bibr" rid="B29">FAO, 2023</xref>; <xref ref-type="bibr" rid="B76">United Nations, 2022</xref>). This rapid growth is intensifying our reliance on agriculture, a sector already under threat from climate change (<xref ref-type="bibr" rid="B28">EPA, 2016</xref>). While current solutions, such as chemical fertilizers and pesticides, have boosted crop yields, they are widely regarded as unsustainable and harmful to both the environment and human health (<xref ref-type="bibr" rid="B40">Haldar et al., 2022</xref>; <xref ref-type="bibr" rid="B74">Tian and Niu, 2015</xref>). As a result, there is a growing demand for more sustainable approaches. Genetic engineering has long been used in agriculture to enhance plant productivity and resilience (<xref ref-type="bibr" rid="B1">Ahmad et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Batchvarova et al., 1998</xref>; <xref ref-type="bibr" rid="B25">Duan et al., 1996</xref>; <xref ref-type="bibr" rid="B34">Gamuyao et al., 2012</xref>). With advancements in the field, engineering microorganisms that interact with plants has emerged as a promising strategy to make agriculture more resilient, productive, and environmentally sustainable (<xref ref-type="bibr" rid="B14">Burr et al., 1984</xref>; <xref ref-type="bibr" rid="B46">Jansson et al., 2023</xref>).</p>
<p>Most microorganisms used in agriculture are applied to the soil, where they colonize and interact with plant roots in the rhizosphere (<xref ref-type="bibr" rid="B3">Amarger, 2002</xref>; <xref ref-type="bibr" rid="B46">Jansson et al., 2023</xref>). However, these applications are often limited by inefficiency and low survivability (<xref ref-type="bibr" rid="B3">Amarger, 2002</xref>). One major challenge is the highly competitive nature of the rhizosphere, which is further exacerbated by the metabolic burden imposed by expressing heterologous genes (<xref ref-type="bibr" rid="B12">Borkowski et al., 2016</xref>; <xref ref-type="bibr" rid="B36">Glick, 1995</xref>; <xref ref-type="bibr" rid="B48">Karim et al., 2013</xref>; <xref ref-type="bibr" rid="B49">Kauffman et al., 2002</xref>). Unlike native bacterial genes, which are regulated by complex regulatory networks refined over millions of years, heterologous genes lack such sophisticated control mechanisms (<xref ref-type="bibr" rid="B21">F. J. De Bruijn, 2016</xref>; <xref ref-type="bibr" rid="B31">Freyre-Gonzalez and Trevi&#xf1;o-Quintanilla, 2010</xref>; <xref ref-type="bibr" rid="B58">MacNeil and Walhout, 2011</xref>; <xref ref-type="bibr" rid="B75">Tollerson and Ibba, 2020</xref>). As a result, they often fail to activate and deactivate at appropriate times, negatively impacting microbial fitness and survival.</p>
<p>A clear example of this challenge is PseuPomona, an engineered <italic>P. fluorescens</italic> SBW25 strain developed by the Wageningen UR iGEM team in 2023 to control flowering in fruit trees and reduce frost damage. PseuPomona synthesizes and delivers a plant phytohormone to roots using a heterologous secretion system comprising more than 20 genes. While <italic>Pseudomonas fluorescens</italic> SBW25 has a more limited genetic toolbox than other microbes, its native ability to colonize the rhizosphere enhances its survival. However, if the expression of these added genetic elements remains unregulated, the associated metabolic burden could reduce bacterial viability. Dynamically regulating heterologous gene expression, activating it when beneficial and deactivating it when detrimental or unnecessary, has proven effective in other fields and could help address this challenge in agricultural applications (<xref ref-type="bibr" rid="B37">Gorochowski et al., 2014</xref>; <xref ref-type="bibr" rid="B41">Hartline et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Haynes et al., 2008</xref>; <xref ref-type="bibr" rid="B47">Johnson and Bruist, 1989</xref>; <xref ref-type="bibr" rid="B56">Levskaya et al., 2005</xref>; <xref ref-type="bibr" rid="B72">Tamsir et al., 2011</xref>; <xref ref-type="bibr" rid="B81">Xu et al., 2022</xref>).</p>
<p>A potential solution is the development of a novel biosensor that detects optimal conditions for phytohormone secretion, specifically, proximity to plant roots and the presence of a sufficiently large bacterial colony in the rhizosphere, allowing gene expression to be dynamically adjusted in response. These conditions would enhance bacterial survival as gene expression would only be activated once a colony has been formed. They would also improve the delivery of various payloads by the microbes as they would be closer to the plant roots. Consequently, this biosensor would not be limited to PseuPomona but could also improve the viability and effectiveness of other engineered <italic>P. fluorescens</italic> SBW25 strains and potentially other soil microbes.</p>
<p>Proximity to plant roots can be inferred from root exudates, small molecules that are most concentrated at root tips and lateral branches, ideal sites for payload delivery, and gradually dilute in a gradient as they diffuse into the surrounding soil (<xref ref-type="bibr" rid="B10">Berlanas et al., 2019</xref>; <xref ref-type="bibr" rid="B55">Korenblum et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Liao et al., 2023</xref>; <xref ref-type="bibr" rid="B77">Upadhyay et al., 2022</xref>; <xref ref-type="bibr" rid="B79">Wheatley and Poole, 2018</xref>; <xref ref-type="bibr" rid="B82">Xue et al., 2020</xref>). Previous studies have explored root exudate-inducible expression systems in bacteria (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B60">Meyer et al., 2019</xref>; <xref ref-type="bibr" rid="B64">Ryu et al., 2019</xref>). For instance, <xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref> characterized several such systems in <italic>E. coli</italic>, utilizing promoters from <italic>Pseudomonas putida</italic> that respond to plant-derived molecules like cuminic acid, naringenin, salicylic acid, and L-arabinose. Similarly, <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref> demonstrated that inducible expression systems could localize bacterial nitrogenase expression at plant roots, improving nitrogen uptake in cereals. Given their effectiveness, we considered testing similar inducible expression systems to signal root proximity.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Response function parameters of inducible expression systems assayed in this study compared to previous literature. Estimated induction ranges marked with &#x201c;&#x2b;&#x201d; indicate values that could not be precisely determined.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Inducible expression system</th>
<th align="center">Dynamic range (a.u.)</th>
<th align="center">Estimated induction range (&#xb5;M)</th>
<th align="center">Chassis used</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">This study</td>
</tr>
<tr>
<td align="left">pBAD/AraCE</td>
<td align="center">3.77</td>
<td align="center">4&#x2013;4,000&#x2b;</td>
<td align="left">
<italic>Pseudomonas fluorescens</italic> SBW25</td>
</tr>
<tr>
<td align="left">pCym/CymR</td>
<td align="center">9.57</td>
<td align="center">0.01&#x2013;10</td>
<td align="left">
<italic>Pseudomonas fluorescens</italic> SBW25</td>
</tr>
<tr>
<td align="left">pTtg/TtgR</td>
<td align="center">1.3</td>
<td align="center">150&#x2013;1,000&#x2b;</td>
<td align="left">
<italic>Pseudomonas fluorescens</italic> SBW25</td>
</tr>
<tr>
<td align="left">pSal/nahR</td>
<td align="center">9.13</td>
<td align="center">1&#x2013;150</td>
<td align="left">
<italic>Pseudomonas fluorescens</italic> SBW25</td>
</tr>
<tr>
<td colspan="4" align="left">
<xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">pBAD/AraCE</td>
<td align="center">500</td>
<td align="center">1&#x2013;4,000</td>
<td align="left">
<italic>Escherichia coli</italic> DH10B</td>
</tr>
<tr>
<td align="left">pCym/CymR</td>
<td align="center">870</td>
<td align="center">0.5&#x2013;100</td>
<td align="left">
<italic>Escherichia coli</italic> DH10B</td>
</tr>
<tr>
<td align="left">pTtg/TtgR</td>
<td align="center">140</td>
<td align="center">5&#x2013;1,000</td>
<td align="left">
<italic>Escherichia coli</italic> DH10B</td>
</tr>
<tr>
<td align="left">pSal/nahR</td>
<td align="center">600</td>
<td align="center">1&#x2013;100</td>
<td align="left">
<italic>Escherichia coli</italic> DH10B</td>
</tr>
<tr>
<td colspan="4" align="left">
<xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">pBAD/AraCE</td>
<td align="center">405</td>
<td align="center">0.1&#x2013;150</td>
<td align="left">
<italic>Pseudomonas protegens</italic> Pf-5</td>
</tr>
<tr>
<td align="left">pCym/CymR</td>
<td align="center">199</td>
<td align="center">0.1&#x2013;100</td>
<td align="left">
<italic>Pseudomonas protegens</italic> Pf-5</td>
</tr>
<tr>
<td align="left">pSal/nahR</td>
<td align="center">53</td>
<td align="center">1&#x2013;500</td>
<td align="left">
<italic>Rhizobium</italic> sp. IRBG74</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>However, relying solely on root exudates to activate gene expression poses a risk to bacterial fitness and effectiveness, as premature or continuous activation could reduce colony size and hinder root colonization. To prevent this, activation should also be regulated by quorum sensing, a bacterial mechanism that detects population density through small signaling molecules. The LuxI/LuxR system from <italic>Vibrio fischeri</italic> is a well-characterized quorum sensing pathway in which LuxI produces N-acyl homoserine lactones (AHLs) that accumulate with increasing cell density (<xref ref-type="bibr" rid="B32">Fuqua et al., 2001</xref>; <xref ref-type="bibr" rid="B62">Ng and Bassler, 2009</xref>). Once AHLs reach a threshold concentration, they bind to the transcriptional regulator LuxR, triggering gene expression. This system is widely used in synthetic biology and naturally present in many Gram-negative bacteria, suggesting its compatibility with <italic>P. fluorescens</italic> SBW25 (<xref ref-type="bibr" rid="B4">Anderson et al., 2006</xref>; <xref ref-type="bibr" rid="B7">Balagadd&#xe9; et al., 2008</xref>; <xref ref-type="bibr" rid="B8">Bassler and Losick, 2006</xref>; <xref ref-type="bibr" rid="B11">Boo et al., 2021</xref>; <xref ref-type="bibr" rid="B24">De Kievit and Iglewski, 2000</xref>; <xref ref-type="bibr" rid="B23">Deepika and Pallaval, 2018</xref>; <xref ref-type="bibr" rid="B43">Hooshangi and Bentley, 2008</xref>). Additionally, its activation threshold can be fine-tuned, making it a promising strategy for balancing fitness and functionality in engineered rhizosphere bacteria (<xref ref-type="bibr" rid="B18">Collins et al., 2005</xref>; <xref ref-type="bibr" rid="B65">Scales et al., 2014</xref>; <xref ref-type="bibr" rid="B67">Shong and Collins, 2013</xref>; <xref ref-type="bibr" rid="B71">Subramoni et al., 2011</xref>; <xref ref-type="bibr" rid="B78">Wang et al., 2015</xref>; <xref ref-type="bibr" rid="B84">Zeng et al., 2017</xref>).</p>
<p>To ensure that gene expression is activated only when both root proximity and sufficient bacterial density are detected, these two signals must be integrated using an AND logic gate (<xref ref-type="bibr" rid="B68">Singh, 2014</xref>). One promising approach is the use of toehold switches, which consist of a switch RNA and a trigger RNA (<xref ref-type="bibr" rid="B38">Green et al., 2014</xref>). These RNA molecules can be independently expressed by either input signal, but translation of the gene of interest occurs only when both are present. Toehold switches are particularly advantageous for this application because they are RNA-based rather than protein-based, making them faster, less resource-intensive for the host organism, and highly orthogonal (<xref ref-type="bibr" rid="B61">Moon et al., 2012</xref>; <xref ref-type="bibr" rid="B80">Xia et al., 2019</xref>). Moreover, they are modular, allowing easy adaptation to different activating inputs, including those explored in this study and potential future input choices (<xref ref-type="bibr" rid="B38">Green et al., 2014</xref>; <xref ref-type="bibr" rid="B53">Kim et al., 2019</xref>; <xref ref-type="bibr" rid="B83">Yang et al., 2021</xref>).</p>
<p>Here, we present a novel biosensor in <italic>P. fluorescens</italic> SBW25 that operates as a genetic logic AND gate, monitoring root attachment and population density and activating gene expression only in the presence of both signals. This biosensor minimizes the metabolic burden imposed by heterologous expression in <italic>P. fluorescens</italic> SBW25, a rhizosphere-native bacterium. We characterized various genetic parts, including root exudate-inducible expression systems and the LuxI/LuxR quorum sensing system, in this non-conventional, yet agriculturally relevant host organism. These sensors were integrated into a toehold switch-based AND logic gate, ensuring that gene expression is activated only after root attachment and the establishment of a sufficient bacterial population. The development of this biosensor offers a promising strategy to enhance the viability of engineered soil bacteria, not only for frost damage prevention but also for broader agricultural applications.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Bacterial strains and media</title>
<p>Bacterial strains used in this study are listed in <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>. Strains were preserved in glycerol stocks (80% glycerol, &#x2212;80&#xb0;C). Unless noted otherwise, <italic>P. fluorescens</italic> and <italic>E. coli</italic> were cultivated at 30&#xb0;C and 37&#xb0;C, respectively, in Lysogeny Broth (LB) (10&#xa0;g/L NaCl, 10&#xa0;g/L tryptone, and 5&#xa0;g/L yeast extract) or M9 medium (1.63&#xa0;g/L NaH<sub>2</sub>PO<sub>4</sub>, 3.88&#xa0;g/L K<sub>2</sub>HPO<sub>4</sub>, 2&#xa0;g/L (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>, 10&#xa0;mg/L EDTA, 100&#xa0;mg/L MgCl<sub>2</sub>.6H<sub>2</sub>O, 2&#xa0;mg/L ZnSO<sub>4</sub>.7H<sub>2</sub>O, 1&#xa0;mg/L CaCl<sub>2</sub>.2H<sub>2</sub>O, 5&#xa0;mg/L FeSO<sub>4</sub>.7H<sub>2</sub>O, 0.2&#xa0;mg/L Na<sub>2</sub>MoO<sub>4</sub>.2H<sub>2</sub>O, 0.2&#xa0;mg/L CuSO<sub>4</sub>.5H<sub>2</sub>O, 0.4&#xa0;mg/L CoCl<sub>2</sub>.6H<sub>2</sub>O, and 1&#xa0;mg/L MnCl<sub>2</sub>.2H<sub>2</sub>O) supplemented with 50&#xa0;mM glucose at 250&#xa0;rpm. Antibiotics and inducers were added as needed as listed on <xref ref-type="sec" rid="s11">Supplementary Table S2</xref>.</p>
<p>To produce AHL-containing conditioned medium (CM), <italic>E. coli</italic> pSEVAb64_PCQS, a strain capable of synthesizing AHL, was cultured overnight in 10&#xa0;mL of LB with the appropriate antibiotic. The cells were washed three times with 20:80 LB:M9 medium supplemented with 50&#xa0;mM glucose. A 1:100 dilution of the resulting cell suspension was then used to inoculate 10&#xa0;mL of fresh 20:80 LB:M9 &#x2b; 50&#xa0;mM glucose and the appropriate antibiotic. After overnight incubation, the culture was centrifuged for 5&#xa0;min at 4,700&#xa0;rpm, and the supernatant, referred to as conditioned medium (CM), was filter-sterilized using a 0.2&#xa0;&#x3bc;m filter. The CM was supplemented with 50&#xa0;mM glucose and freshly prepared for each subsequent assay.</p>
</sec>
<sec id="s2-2">
<title>Plasmids</title>
<p>Plasmids were assembled using the SEVA 3.1 platform (<xref ref-type="bibr" rid="B19">Damalas et al., 2020</xref>). DNA fragments were PCR-amplified using customized or standard primers and NEB Q5 High-Fidelity DNA polymerase, purified via agarose gel electrophoresis (1% w/v), and extracted with the ZymocleanTM Gen DNA Recovery Kit (Zymo Research). DNA was eluted in Milli-Q waster and quantified by NanoDrop spectrophotometry.</p>
<p>PCR products were ligated into SEVAb backbones using SEVAbrick assembly (<xref ref-type="bibr" rid="B19">Damalas et al., 2020</xref>). Plasmids were transformed into chemically competent <italic>E. coli</italic> DH5&#x3b1; or chemically competent <italic>P. fluorescens</italic> SBW25 cells and selected on LB agar with antibiotics. Colony PCR screening was performed with Phire Hot Start II polymerase, and positive colonies were identified via agarose gel electrophoresis (1% w/v). Subsequently, plasmids from positive colonies were isolated using the GeneJET plasmid Miniperp Kit (Thermo Scientific) from overnight liquid LB cultures. Again, plasmid DNA was eluted in Milli-Q water and quantified by NanoDrop spectrophotometry. Plasmid sequences were verified by Sanger sequencing (MACROGEN Inc. DNA Sequencing Service; Amsterdam, Netherlands). All plasmids constructed and used in this study along with primers and templates are listed and can be found in <xref ref-type="sec" rid="s11">Supplementary Tables S3-S5</xref>.</p>
<p>To study responses to root exudates, five inducible expression systems were tested: pBAD/AraCE, pCym/CymR, pTtg/TtgR, pSal/nahR, and pVan/VanR. Promoters, transcription factors and regulatory elements were PCR-amplified from Addgene plasmids pAJM.677, pAJM.657, pAJM.611, pAJM.771 and pAJM.773 (<xref ref-type="bibr" rid="B60">Meyer et al., 2019</xref>), respectively, and assembled into pSB1C3 backbones following the scheme of <xref ref-type="fig" rid="F1">Figure 1</xref>. Customized primers for each amplification can be found in <xref ref-type="sec" rid="s11">Supplementary Table S4</xref>. Expression constructs were optimized by reversing promoter orientations relative to their transcription factors. As indicated, BBa_J23100 promoter and BBa_J34801 RBS were employed to drive the expression of the transcription factors.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>General architecture of pSB1C3 plasmids for root exudate-inducible expression systems. The transcription factor (TF) is represented by the green arrow on the left, while its corresponding promoter (prm) is shown as the green arrow on the right. The BBa_J23100 promoter (black arrow) and BBa_J34801 RBS (located to the right of the black arrow) regulate transcription factor expression. The CmR gene (grey arrow) offers antibiotic resistance to chloramphenicol and pMB1 (white sphere) is the plasmid&#x2019;s origin of replication.</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g001.tif">
<alt-text content-type="machine-generated">This plasmid enables gene expression in response to root exudates. It contains a transcription factor and its specific promoter, regulated by standard parts for expression. It also includes a gene for chloramphenicol resistance and a replication origin to maintain the plasmid in cells.</alt-text>
</graphic>
</fig>
<p>All inducible systems in the pSB1C3 plasmids were amplified using primers 448 and 647. The <italic>sfgfp</italic> gene was amplified with primers 619 and 827 following the protocol by <xref ref-type="bibr" rid="B19">Damalas et al. (2020)</xref>. The <italic>sfgfp</italic> insert was assembled downstream of the inducible promoter in pSEVAb23 backbones. The pSEVAb23_EV control plasmid was constructed by amplifying the pSEVAb23 backbone with primers 760 and 476 and assembling it without additional DNA inserts.</p>
<p>The pSEVAb64_PCQS and pSEVAb64_GFP_LuxR plasmids used in quorum sensing experiments to produce conditioned medium (CM) and respond to AHL (Sigma Aldrich &#x23;K3255), respectively, were kindly provided by Dr. Anna Doloman. The pSEVAb64_ EV control was constructed similarly to pSEVAb23_EV.</p>
<p>The pSEVAb23_Toehold2.1_V1_GFP plasmid, used to characterize the toehold switch from <xref ref-type="bibr" rid="B38">Green et al. (2014)</xref>, was previously constructed in house for <xref ref-type="bibr" rid="B6">Asin-Garcia et al. (2024)</xref>. To assemble the pSEVAb23_LuxR_SwGFP plasmid, the <italic>luxR</italic> gene and luxpR promoter were amplified from pSEVAb64_GFP_LuxR using NVD_LuxR_FW-RV. The <italic>gfp</italic> gene downstream of the switch RNA was amplified from pSEVAb23_Toehold2.1_V1_GFP using primers NVD_SwRNA_FW and 827. Both amplicons were inserted into a pSEVAb23 backbone.</p>
<p>To assemble the pSEVAb64_SalTr plasmid, the pSal/nahR system along with a fragment of the trigger RNA was amplified from pSB1C3_Sal using primers 448 and NVD_Trig2.1_pSAL_RV. The amplicon was inserted into a pSEVAb64 backbone containing the remaining part of the trigger RNA using primers NVD_Trig2.1_pSV23_FW and 448.</p>
<p>The constructed plasmids were transformed into chemically competent <italic>P. fluorescens</italic> SBW25 cells using heat shock. The presence of the correct plasmids was confirmed by colony PCR and Sanger sequencing. Strains harboring the correct plasmids were used for fluorescence plate reader assays.</p>
</sec>
<sec id="s2-3">
<title>Competent <italic>Pseudomonas fluorescens</italic> SBW25 cell preparation</title>
<p>A single colony of <italic>P. fluorescens</italic> SBW25 was transferred into LB medium in sterile conditions and incubated overnight at 30&#xb0;C and 250&#xa0;rpm. The overnight culture was chilled on ice and centrifuged at 7,000 &#xd7; g for 2&#xa0;min at 4&#xb0;C. The supernatant was gently decanted, taking care not to disturb the pellet. Cells were resuspended in 20&#xa0;mL ice-cold 0.1&#xa0;M CaCl<sub>2</sub> by gentle pipetting, followed by a second centrifugation under the same conditions. This wash step was repeated once more for a total of two washes. The final pellet was resuspended in ice-cold 0.1&#xa0;M CaCl<sub>2</sub> containing 15% (v/v) glycerol; the resuspension volume was calculated as 1/10 of the overnight culture volume. Cell suspensions were thoroughly mixed, then aliquoted (100&#xa0;&#x3bc;L per tube) into sterile, autoclaved 1.5&#xa0;mL microcentrifuge tubes. Aliquots were flash-frozen in a dry ice&#x2013;ethanol bath (optional) and stored at &#x2212;80&#xa0;&#xb0;C until further use.</p>
</sec>
<sec id="s2-4">
<title>Root exudate toxicity test</title>
<p>High-performance liquid chromatography (HPLC) standard formulations of root exudates L-arabinose, cuminic acid, naringenin, salicylic acid, and vanillic acid were obtained from Sigma Aldrich (Lenga, n.d.). The exudates were diluted in their respective solvents listed in <xref ref-type="sec" rid="s11">Supplementary Table S2</xref> to the concentrations 1&#xa0;M, 100&#xa0;mM, 1&#xa0;M, 1&#xa0;M and 100&#xa0;mM, respectively. All solutions were filter-sterilized and stored at &#x2212;20&#xb0;C.</p>
<p>To assess their toxicity in the bacterial host, overnight cultures of <italic>P. fluorescens</italic> SBW25 were prepared in biological triplicates, with technical replicates included. The following root exudate concentrations, dissolved in M9 medium supplemented with 50&#xa0;mM glucose and 50&#xa0;mg/mL kanamycin, were tested in a growth assay: 4&#xa0;mM&#xa0;L-arabinose, 1&#xa0;mM cuminic acid, 1&#xa0;mM naringenin, 1&#xa0;mM salicylic acid and 0.1&#xa0;mM vanillic acid.</p>
<p>OD<sub>600</sub> was measured using a BioTek Synergy H1 Microplate Reader (BioTek Instruments, Inc., VT, U.S.) for 24&#xa0;h at 30&#xb0;C, with continuous shaking taking OD<sub>600</sub> readings taken every 5&#xa0;min, using volumes of 200&#xa0;&#xb5;L. The average OD<sub>600</sub> of technical replicates was used to calculate the relative OD<sub>600</sub> of each biological replicate. Standard deviations between biological replicates were determined, and the average OD<sub>600</sub> of biological triplicates was calculated. Statistical differences between samples were determined using a Two-Sample t-Test Assuming Equal Variances. Data analysis and visualization were performed using Microsoft Excel.</p>
</sec>
<sec id="s2-5">
<title>Bioinformatic analysis of the LuxI/LuxR quorum sensing system</title>
<p>The BLAST search engine from NCBI (<xref ref-type="bibr" rid="B2">Altschul et al., 1990</xref>) was used to determine whether <italic>P. fluorescens</italic> SBW25 possesses native proteins, transcription factors or promoters that could interfere with <italic>Vibrio fischeri</italic>&#x2019;s LuxI/LuxR quorum system. BLASTp was employed to identify amino acid similarities between <italic>luxI</italic> and <italic>luxR</italic> genes and the <italic>P. fluorescens</italic> SBW25 genome. Additionally, BLASTn was used to search for sequence similarities between the <italic>luxpR</italic> promoter and the <italic>P. fluorescens</italic> SBW25 genome. Default BLAST settings were applied, and the result with the highest score was reported.</p>
</sec>
<sec id="s2-6">
<title>Fluorescence assays</title>
<p>Multiple aspects of this study were assessed using fluorescence assays. These experiments were conducted in 96-well plates to measure both absorbance and fluorescence in a total volume of 200&#xa0;&#xb5;L per well. Optical density (OD<sub>600</sub>) and fluorescence (excitation: 467&#xa0;nm, emission: 508&#xa0;nm) were monitored over 24&#xa0;h using a BioTek Synergy H1 Microplate Reader (BioTek Instruments, Inc., VT, U.S.). Unless stated otherwise, each condition was tested using three biological replicates, with three technical replicates per strain.</p>
<p>Overnight cell precultures were washed three times with M9 medium supplemented with 50&#xa0;mM glucose and diluted to an initial OD<sub>600</sub> of 0.3. Inducers were added when necessary. Relative fluorescence values were calculated by normalizing fluorescence readings to OD<sub>600</sub> values. The average relative fluorescence of technical replicates was used to determine biological replicates, and standard deviations were calculated from the three biological replicates. Statistical significance was assessed using a Two-Sample t-Test Assuming Equal Variances. Data analysis and visualization were performed using Microsoft Excel.</p>
<p>To characterize the response of the root exudate-inducible expression systems, fluorescence assays were performed with <italic>P. fluorescens</italic> strains carrying pSEVAb23_Ara, pSEVAb23_Cym pSEVAb23_Ttg and pSEVAb23_ Sal. The range of root exudate concentrations analyzed was based on the maximum and minimum induction levels reported by <xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref> and <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref>.</p>
<p>To investigate the AHL-sensing component of the LuxI/LuxR quorum system and assess the strain&#x2019;s response to varying AHL concentrations, two fluorescence assays were conducted using the <italic>P. fluorescens</italic> pSEVAb64_GFP_LuxR strain. In the first assay, the following AHL concentrations were tested: 0&#xa0;nM, 1&#xa0;nM, 3&#xa0;nM, 5&#xa0;nM and 10&#xa0;nM. The second assay tested an extended range of AHL concentrations: 0&#xa0;nM, 0.025&#xa0;nM, 0.05&#xa0;nM, 0.1&#xa0;nM, 0.25&#xa0;nM, 0.5&#xa0;nM, 1&#xa0;nM, and 5&#xa0;nM. In both assays, the <italic>P. fluorescens</italic> pSEVAb64_EV strain was cultivated under all conditions to account for autofluorescence.</p>
<p>To evaluate the response of the LuxI/LuxR quorum system to bacterially produced AHL, a fluorescence assay was performed using the <italic>P. fluorescens</italic> pSEVAb64_GFP_LuxR strain. The strain was cultivated under varying CM concentrations: 0% CM, 0.01% CM, 0.1% CM, 1% CM, 10% CM, 25% CM, and 50% CM.</p>
<p>To assess the toehold switch developed by <xref ref-type="bibr" rid="B38">Green et al. (2014)</xref>, a fluorescence assay was performed using <italic>P. fluorescens</italic> pSEVAb23_Toehold2.1_V1_GFP. The strain was cultivated and tested under the following conditions over 24&#xa0;h: no inducers, 1&#xa0;mM 3-methylbenzoate, 3.75&#xa0;mM rhamnose, and both inducers combined. Following the redesign of the toehold switch to respond to salicylic acid and AHL, its functionality was assessed instead under the following conditions: no inducers, 150&#xa0;&#x3bc;M salicylic acid, 5&#xa0;nM AHL, and both inducers combined.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Root exudate-inducible expression systems signal root proximity in the rhizosphere</title>
<p>We selected five root exudates as proxies for root proximity that could induce gene expression in bacteria: L-arabinose, cuminic acid, naringerin, salicylic acid and vanillic acid. To ensure these molecules were safe for detecting root proximity, we verified that they were not toxic to <italic>P. fluorescens</italic> SBW25. We tested 4&#xa0;mM&#xa0;L-arabinose, 1&#xa0;mM cuminic acid 1&#xa0;mM naringenin, 1&#xa0;mM salicylic acid and 0.1&#xa0;mM vanillic acid, which corresponds to the highest concentrations used in subsequent experiments (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>).</p>
<p>Next, we characterized the inducible systems corresponding to these root exudates in <italic>P. fluorescens</italic> SBW25. Each inducible expression system examined in this study consists of a promoter and its corresponding transcription factor. Upon binding its respective root exudate, the transcription factor activates the promoter, initiating transcription of the downstream genes. The arabinose-inducible expression system was the only exception, as it included the arabinose transporter AraE to facilitate sugar transport across the membrane. All inducible expression systems, pBAD/AraCE, pCym/CymR, pSal/nahR, pTtg/TtgR and pVan/VanR, were cloned into pSEVAb23 vectors controlling a <italic>sfgfp</italic> gene, allowing fluorescence-based measurement of induction.</p>
<p>When introducing pCym/CymR, pTtg/TtgR and pVan/VanR, deletion mutations were observed. Since these transcription factors repress the promoter in the absence of their corresponding inducers, we suspected cross-regulation in which essential genes with similar promoters might have been repressed, leading to cell death. To counteract this, we supplemented the medium with 100&#xa0;&#x3bc;M cuminic acid and 1&#xa0;mM of naringenin during cloning, which successfully facilitated the introduction of pCym/cymR and pTtg/TtgR. However, the vanillic acid system could not be introduced, even with inducer concentrations up to 1&#xa0;mM.</p>
<p>Dynamic range and induction range for each system was calculated and compared in <xref ref-type="table" rid="T1">Table 1</xref> to the values obtained by <xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref> and <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref>. All tested systems responded to increasing inducer concentrations, as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. Notably, pCym/CymR and pSal/nahR exhibited the highest dynamic ranges, with values of 9.57 and 9.13, respectively, as seen in <xref ref-type="fig" rid="F2">Figures 2B,D</xref>. These responses occurred within narrow concentration ranges: 0.01 &#x3bc;M&#x2013;10&#xa0;&#x3bc;M for pCym/CymR and 1&#xa0;&#x3bc;M&#x2013;150&#xa0;&#x3bc;M for pSal/nahR. In contrast, the precise inducer concentration ranges for pBAD/AraCE and pTtg/TtgR could not be determined, as maximum induction, indicated by a plateau in relative fluorescence, was not reached (<xref ref-type="fig" rid="F2">Figures 2A,C</xref>). Additionally, these two systems displayed relatively low dynamic ranges of 3.77 and 1.3, respectively.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Plate reader fluorescence assay of different inducible expression systems in <italic>Pseudomonas fluorescens</italic> SBW25. Relative fluorescence levels (corrected fluorescence/OD<sub>600</sub>) of various root exudate-inducible expression systems in M9 &#x2b; 50&#xa0;mM glucose, supplemented with different concentrations of root exudates, were measured after 24&#xa0;h of cultivation. For each system, the molecular mechanism and genetic circuit through which the inducer activates gene expression are depicted. <bold>(A)</bold> pBAD/AraCE inducible expression system. <bold>(B)</bold> pCym/CymR inducible expression system. <bold>(C)</bold> pTtg/TtgR inducible expression system. <bold>(D)</bold> pSal/nahR inducible expression system. Biological replicates were obtained by averaging technical triplicates. Error bars represent the standard deviation among biological triplicates for each condition (Mean &#xb1; s.d., n &#x3d; 3 biological replicates).</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g002.tif">
<alt-text content-type="machine-generated">Graphs display relative fluorescence per OD600 in Pseudomonas fluorescens SBW25 grown with different concentrations of root exudates for 24 hours. Panels show responses from four inducible expression systems: (A) L-arabinose activates the pBAD/AraC system, resulting in increased fluorescence; (B) cuminic acid activates the pCym/CymR system with a strong fluorescence response; (C) naringenin activates the pTtg/TtgR system, showing minimal induction; (D) salicylic acid activates the pSal/nahR system, leading to a notable increase in fluorescence. Each panel includes molecular structures and genetic circuit diagrams illustrating the mechanism of gene activation. Error bars represent standard deviation from three biological replicates.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>Quorum sensing mechanism activates only above certain population density thresholds</title>
<p>To respond to fluctuations in cell density, the LuxI/LuxR quorum sensing system from <italic>V. fischeri</italic> was selected. Before implementing this system in <italic>P. fluorescens</italic> SBW25, we investigated whether the bacterium naturally possesses a similar system, comprising a <italic>luxpR</italic>-like binding site and <italic>luxI</italic>- and <italic>luxR</italic>-like genes. A BLASTn search for <italic>luxpR</italic> did not yield any significant similarity, while BLASTp searches for LuxI and LuxR revealed significant similarity only for the latter, identifying a putative LuxR-family regulatory protein. These findings suggest that <italic>P. fluorescens</italic> SBW25 does not naturally produce acyl-homoserine lactones (AHLs) and lacks a complete LuxI/LuxR system, though it may encode a LuxR-like component, which matches previous work (<xref ref-type="bibr" rid="B22">I. De Bruijn and Raaijmakers, 2009</xref>).</p>
<p>To characterize the quorum sensing system, we set out to separately test its response to quorum signals and its ability to produce signals in <italic>P. fluorescens</italic> SBW25. The response element was tested using the pSEVAb64_GFP_LuxR plasmid in which <italic>gfp</italic> expression is controlled by the <italic>luxR</italic> gene which binds to the luxpR promoter under sufficiently high AHL concentrations as shown in <xref ref-type="fig" rid="F3">Figure 3A</xref>. Notably, this plasmid deliberately excludes the gene encoding LuxI to allow for precise control of AHL levels to determine the concentrations triggering induction. In a plate reader fluorescence assay, we tested <italic>P. fluorescens</italic> carrying pSEVAb64_GFP_LuxR over a range of 0&#xa0;nM, 0.025&#xa0;nM, 0.05&#xa0;nM, 0.1&#xa0;nM, 0.25&#xa0;nM, 0.5&#xa0;nM, 1&#xa0;nM, and 5&#xa0;nM AHL. <xref ref-type="fig" rid="F3">Figure 3B</xref> shows that there is an increasing signal response observed as AHL concentrations are increased plateauing around 0.5&#xa0;nM.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Fluorescence assay experiments to characterize LuxI/LuxR quorum sensing mechanism in <italic>Pseudomonas fluorescens.</italic> <bold>(A)</bold> GFP expression from the pSEVA64_GFP_Lux plasmid is induced by AHL. Induction can be tested using known concentrations of AHL (orange background) or AHL produced by bacteria (blue background). <bold>(B,C)</bold> Relative fluorescence levels (corrected fluorescence/OD<sub>600</sub>) of <italic>Pseudomonas fluorescens</italic> equipped with the luxpR/LuxR system in M9 &#x2b; 50&#xa0;mM glucose supplemented with different AHL concentrations. (B only) Medium was supplemented with purified AHL at varying concentrations (0&#xa0;nM, 0.025&#xa0;nM, 0.05&#xa0;nM, 0.1&#xa0;nM, 0.25&#xa0;nM, 0.5&#xa0;nM, 1&#xa0;nM, and 5&#xa0;nM), and relative fluorescence was measured after 24&#xa0;h of cultivation. (C only) Medium was supplemented with CM produced by <italic>E. coli</italic> pSEVA64_PCQs at different concentrations (0%, 0.1%, 1%, 10%, 25% and 50%), and relative fluorescence was measured after 18&#xa0;h of cultivation. Biological replicates were obtained by averaging technical triplicates. Error bars represent the standard deviation among biological triplicates for each condition (Mean &#xb1; s.d., n &#x3d; 3 biological replicates).</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g003.tif">
<alt-text content-type="machine-generated">Diagram and bar graphs illustrating the LuxI/LuxR quorum sensing system in Pseudomonas fluorescens using the pSEVA64_GFP_Lux plasmid. Panel A shows GFP expression induced by either synthetic AHL (orange background) or AHL-containing culture medium (CM) from E. coli (blue background). Panel B presents a bar graph of relative fluorescence per OD600 after 24 hours with increasing concentrations of purified AHL (0 to 5 nM), showing a dose-dependent response. Panel C shows relative fluorescence after 18 hours with increasing percentages of CM (0% to 50%), indicating activation of the quorum sensing system. Each panel includes standard deviation bars from three biological replicates.</alt-text>
</graphic>
</fig>
<p>Following this characterization of the luxpR/LuxR system with known AHL concentrations, we assessed its responsiveness to AHL produced by bacteria. For this <italic>E. coli</italic> K12 was transformed with pSEVAb64_PCQS, a plasmid containing the complete LuxI/LuxR system, as it has been verified to enable AHL production. <italic>E. coli</italic> pSEVAb64_PCQS was cultured overnight in 20:80 LB:M9 supplemented with 50&#xa0;mM glucose and subsequently filtered to obtain AHL-containing conditioned medium (CM). A fluorescence assay was conducted on <italic>P. fluorescens</italic> pSEVAb64_GFP_LuxR cultured in varying concentrations of CM (<xref ref-type="fig" rid="F3">Figure 3C</xref>). The strain exhibited no response in samples containing 0%&#x2013;25% CM. However, in 50% CM, fluorescence levels increased 14-fold compared to the 0% CM sample, indicating strong induction. Notably, this sample also displayed a 90% reduction in growth relative to the others, a trend also observed at higher known concentrations of AHL (<xref ref-type="sec" rid="s11">Supplementary Figures S2 and S3</xref>). These results demonstrate that it is possible to engineer a quorum sensing signal sensor in <italic>P. fluorescens</italic> SBW25 and that its activation can be made dependent on cell population density.</p>
<p>Next, we investigated whether <italic>P. fluorescen</italic>s is also capable of producing AHL. To test this, pSEVAb64_PCQS (<xref ref-type="fig" rid="F4">Figure 4A</xref>) was transformed into <italic>P. fluorescens</italic>. Fluorescence levels after overnight incubation were comparable to those observed in <italic>E. coli</italic> pSEVAb64_PCQS (<xref ref-type="fig" rid="F4">Figure 4B</xref>). Since GFP production depends on LuxR binding to AHL, these observations strongly suggest that AHL production can be successfully engineered in <italic>P. fluorescens</italic> SBW25.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Fluorescence assay to determine AHL production in <italic>Pseudomonas fluorescens</italic>. <bold>(A)</bold> Genetic circuit of the pSEVA64_PCQS plasmid used to verify whether a bacterial strain can produce AHL. <bold>(B)</bold> Relative fluorescence levels (corrected fluorescence/OD<sub>600</sub>) of different bacteria strains after overnight culture in LB. Left <italic>Pseudomonas fluorescens</italic> pSEVAb64_EV, center <italic>Pseudomonas fluorescens</italic> pSEVA64_PCQS, right <italic>E. coli</italic> pSEVA64_PCQS.</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g004.tif">
<alt-text content-type="machine-generated">Diagram and bar graph assessing AHL production in Pseudomonas fluorescens using the pSEVA64_PCQS plasmid. Panel A shows the genetic circuit with LuxI and LuxR regulating GFP expression in response to AHL synthesis. Panel B presents relative fluorescence per OD600 for three overnight LB cultures: P. fluorescens with empty vector (left), P. fluorescens with pSEVA64_PCQS (center), and E. coli with pSEVA64_PCQS (right). Higher fluorescence in the latter two confirms AHL production, with E. coli showing the strongest signal. Error bars indicate standard deviation across biological replicates.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Toehold switch-based circuit activates gene expression exclusively in response to root proximity and colony density signals in <italic>Pseudomonas fluorescens</italic> SBW25</title>
<p>The toehold switch employed in this study is based on the highest-performing design from <xref ref-type="bibr" rid="B38">Green et al. (2014)</xref>. This design was later adapted into the pSEVAb23_Toehold2.1_V1_GFP plasmid, illustrated in <xref ref-type="fig" rid="F5">Figure 5A</xref>, and characterized in <italic>Pseudomonas putida</italic> by <xref ref-type="bibr" rid="B6">Asin-Garcia et al. (2024)</xref>.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Fluorescence assay to characterize the toehold switch from <xref ref-type="bibr" rid="B38">Green et al. (2014)</xref> in <italic>Pseudomonas fluorescens</italic> <bold>(A)</bold> Molecular regulation of the toehold adapted by <xref ref-type="bibr" rid="B6">Asin-Garcia et al. (2024)</xref> in the plasmid pSEVAb23_Toehold2.1_V1_GFP. <bold>(B)</bold> Expected output of the pSEVAb23_Toehold2.1_V1_GFP plasmid under different inducer combinations. <bold>(C)</bold> Relative fluorescence levels (corrected fluorescence/OD<sub>600</sub>) of <italic>Pseudomonas fluorescens</italic> pSEVAb23_Toehold2.1_V1_GFP grown in M9 &#x2b; 50&#xa0;mM glucose, supplemented with toehold switch inducers (1&#xa0;mM 3-MB and 3.75&#xa0;mM rhamnose), either together or separately, over 24&#xa0;h of cultivation. <bold>(D)</bold> Snapshot of relative fluorescence levels of <italic>Pseudomonas fluorescens</italic> pSEVAb23_Toehold2.1_V1_GFP under the same conditions as in <bold>(C)</bold>. Fluorescence data from biological replicates were obtained by averaging technical triplicates. Error bars represent the standard deviation among biological triplicates for each condition (Mean &#xb1; s.d., n &#x3d; 3 biological replicates). Statistical analyses were performed with one-way parametric two-tailed t-test between two groups, where n.s Indicates P &#x3e; 0.05, &#x2a;P &#x2264; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001 and &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g005.tif">
<alt-text content-type="machine-generated">Diagram and graphs showing the function of a toehold switch-based gene expression system in Pseudomonas fluorescens. Panel A illustrates the molecular mechanism of the toehold switch from Green et al. (2014), adapted by Asin-Garcia et al. (2024), encoded on plasmid pSEVAb23_Toehold2.1_V1_GFP. Panel B outlines expected GFP output under different inducer combinations: 3-methylbenzoate (3-MB), rhamnose, or both. Panel C presents a time course of relative fluorescence per OD600 over 24 hours, showing that highest expression occurs when both inducers are present. Panel D shows endpoint fluorescence levels under the same conditions with statistical significance indicated. Error bars represent standard deviation from three biological replicates.</alt-text>
</graphic>
</fig>
<p>The toehold system functions as a genetic AND gate, where the trigger RNA (trRNA) and switch RNA (swRNA) are transcribed in the presence of rhamnose and 3-MB, respectively (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>). To evaluate its functionality and orthogonality to native cellular machinery, pSEVAb23_Toehold2.1_V1_GFP was introduced into <italic>P. fluorescens</italic> SBW25. When both inducers were added simultaneously, fluorescence increased by 22-fold compared to the control without inducers, as shown in <xref ref-type="fig" rid="F5">Figures 5C,D</xref>. This response significantly exceeded that of the individual inducers, confirming the correct functionality of the toehold. However, some decrease in cell growth was observed when adding both inducers individually and together. In addition, leakiness was observed when rhamnose and 3-MB were added separately, resulting in 4.9- and 3.6-fold increases in GFP production, respectively.</p>
<p>Following the successful validation of pSEVAb23_Toehold2.1_V1_GFP in <italic>P. fluorescens</italic>, the toehold system was redesigned to integrate inputs from the salicylic acid-inducible expression system and the quorum sensing system. The new toehold architecture was constructed using two plasmids of similar copy numbers, as illustrated in <xref ref-type="fig" rid="F6">Figure 6A</xref>. The first plasmid, pSEVAb64_SalTrg, was designed to express the trRNA under the control of the pSal/nahR inducible system in the presence of salicylic acid. The second plasmid, pSEVAb23_LuxRSw_GFP, was designed to express the swRNA upstream of the <italic>gpf</italic> gene, which is driven by the luxpR/LuxR system when AHL concentrations are sufficiently high. The redesigned toehold was expected to produce GFP only in the presence of both root exudate and quorum signals (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Fluorescence assay to characterize the toehold switch responsive to salicylic acid and AHL in <italic>Pseudomonas fluorescens</italic>. <bold>(A)</bold> Molecular regulation of the toehold switch developed in this study using the plasmids pSEVAb23_LuxR_SwGFP and pSEVA64_SalTr. <bold>(B)</bold> Expected output of the toehold switch constructed across the pSEVAb23_LuxR_SwGFP and pSEVA64_SalTr plasmids under different inducer combinations. <bold>(C)</bold> Relative fluorescence levels (corrected fluorescence/OD<sub>600</sub>) of <italic>Pseudomonas fluorescens</italic> pSEVAb23_LuxR_SwGFP &#x2b; pSEVA64_SalTr grown in M9 &#x2b; 50&#xa0;mM glucose supplemented with toehold switch inducers (150&#xa0;&#x3bc;M salicylic acid and 5&#xa0;nM AHL), either together or separately, over 24&#xa0;h of cultivation. <bold>(D)</bold> Snapshot of relative fluorescence levels of <italic>Pseudomonas fluorescens</italic> pSEVAb23_LuxR_SwGFP &#x2b; pSEVA64_SalTr under the same conditions as in <bold>(C)</bold>. Fluorescence data from biological replicates were obtained by averaging technical triplicates. Error bars represent the standard deviation among biological triplicates for each condition (Mean &#xb1; s.d., n &#x3d; 3 biological replicates). Statistical analyses were performed using a one-way parametric two-tailed t-test between two groups, where n.s Indicates P &#x3e; 0.05, &#x2a;P &#x2264; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001 and &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fsysb-05-1620608-g006.tif">
<alt-text content-type="machine-generated">Diagram and graphs characterizing a toehold switch in Pseudomonas fluorescens responsive to salicylic acid and AHL, using plasmids pSEVAb23_LuxR_SwGFP and pSEVA64_SalTr. Panel A shows the molecular regulation of the toehold switch system. Panel B outlines the expected GFP output under different inducer combinations: salicylic acid, AHL, or both. Panel C displays relative fluorescence per OD600 over 24 hours, demonstrating highest gene expression when both inducers are present. Panel D presents endpoint fluorescence with statistical significance indicated. Error bars represent standard deviation from three biological replicates.</alt-text>
</graphic>
</fig>
<p>After successfully co-transforming both plasmids into <italic>P. fluorescens</italic> SBW25, the redesigned toehold was tested using a fluorescence assay. Over time, an increase in GFP production was observed exclusively in the sample exposed to both salicylic acid and AHL, as shown in <xref ref-type="fig" rid="F6">Figure 6C</xref>. Initially, high fluorescence levels were detected in the AHL-only sample. However, as cell density increased and fluorescence values remained constant, the corrected fluorescence signal in this sample decreased. After 24&#xa0;h, a 322-fold induction was observed in the sample containing both inducers, a significant increase compared to all other conditions (<xref ref-type="fig" rid="F6">Figure 6D</xref>).</p>
<p>Furthermore, when individual inducers were added, no significant GFP levels were detected. Notably, no differences in cell growth were observed between samples (<xref ref-type="sec" rid="s11">Supplementary Figure S4</xref>). These results suggest that that the redesigned toehold enables the biosensor to monitor multiple environmental conditions, inducing high levels of gene expression only under user-defined conditions (<italic>i.e</italic>., optimal delivery conditions into the roots), without imposing a burden on the cells.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Engineering soil microorganisms to interact with plants offers a promising avenue towards more sustainable food security and agriculture. However, current limitations, including low survivability and the metabolic burden of unregulated heterologous gene expression, highlight the need for precise genetic control strategies. This study aimed to address this challenge by developing a biosensor that activates gene expression and protein production only when both root proximity and high population density are detected.</p>
<p>Root exudates were used as proxies for root proximity. We screened several known inducers that are non-toxic to <italic>P. fluorescens</italic> SBW25 and have corresponding inducible expression systems. All systems responded to increasing exudate concentrations, though with varied performance. The pSal/nahR and pCym/CymR systems showed the highest dynamic ranges over narrow concentration spans, effectivel acting as ON/OFF switches. This makes them promising for specific activation upon root attachment. In contrast, pTtg/TtgR and pBAD/AraCE underperformed. Poor solubility of naringenin likely explains pTtg/TtgR&#x2019;s week response, while pBAD/AraCE might be hindered by arabinose degradation or lack of transporter activity in <italic>P. fluorescens</italic> SBW25, as observed in other soil bacteria (<xref ref-type="bibr" rid="B35">Garcia-Fraile et al., 2015</xref>; <xref ref-type="bibr" rid="B64">Ryu et al., 2019</xref>; <xref ref-type="bibr" rid="B85">Zhang et al., 2013</xref>).</p>
<p>Three of the inducible expression systems proved toxic to <italic>P. fluorescens</italic> SBW25, likely due to transcriptional repressor binding to native genomic regions and interfering with essential gene expression (<xref ref-type="bibr" rid="B26">Duque et al., 2001</xref>; <xref ref-type="bibr" rid="B27">Eaton, 1997</xref>; <xref ref-type="bibr" rid="B39">Guazzaroni et al., 2004</xref>; <xref ref-type="bibr" rid="B45">Iannucci et al., 2013</xref>; <xref ref-type="bibr" rid="B73">Ter&#xe1;n et al., 2006</xref>). This was evident for pCym/CymR and pTtg/TtgR, as neither system caused toxicity or mutations in the repressor when induced. Since these systems were originally identified in <italic>P. putida</italic> (<xref ref-type="bibr" rid="B26">Duque et al., 2001</xref>; <xref ref-type="bibr" rid="B27">Eaton, 1997</xref>), <italic>P. fluorescens</italic> SBW25 may have genes regulated by similar promoters. The strong constitutive expression of CymR and TtgR under promoter BBa_J23100 could have unintentionally affected gene expression, impacting cell fitness. <xref ref-type="bibr" rid="B16">Choi et al. (2006)</xref> observed a similar effect with CymR, which was mitigated using weaker promoters.</p>
<p>The dynamic and induction ranges of each system were calculated and compared to values reported by <xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref> and <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref> (<xref ref-type="table" rid="T1">Table 1</xref>). In our study, the observed dynamic range was approximately 10-fold, substantially lower than the &#x3e;100-fold observed in previous studies. Several factors may account for this discrepancy. The inducible systems in <xref ref-type="bibr" rid="B60">Meyer et al. (2019)</xref> and <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref> were optimized for <italic>E. coli</italic> DH10B, <italic>Pseudomonas protegens</italic> Pf-5, and <italic>Rhizobium sp</italic>. IRBG74, whereas this study focused on <italic>P. fluorescens</italic> SBW25. Additionally, differences in orientation of promoters and genetic elements and measurement methodology, flow cytometry in previous studies versus spectrofluorometry in this study, could contribute to the dissimilarity observed between the dynamic ranges of the different studies.</p>
<p>Root exudate concentrations in the rhizosphere are poorly characterized and typically assessed qualitatively (<xref ref-type="bibr" rid="B33">Gamalero et al., 2022</xref>). While our experimental range (0.1&#x2013;1&#xa0;mM) is below internal root concentrations (10&#x2013;20&#xa0;mM), it may still be relevant for rhizosphere applications (<xref ref-type="bibr" rid="B54">Koo et al., 2005</xref>). Future validation should involve <italic>in situ</italic> microscopy or spectral readings with plants to assess biosensor behavior in realistic conditions, considering competition with native rhizosphere bacteria for root attachment, modulation of plant-secreted exudates, and potential degradation by other microorganisms.</p>
<p>To monitor population density, we implemented the LuxI/LuxR quorum sensing system. <italic>P. fluorescens</italic> SBW25 expressing LuxR responded to exogenous AHL and AHL-containing media from an <italic>E. coli</italic> producing strain. Furthermore, engineering <italic>P. fluorescens</italic> SBW25 to produce AHL confirmed the system&#x2019;s functionality. Although activation thresholds remain undefined, they can be tuned to optimize rhizosphere performance by adjusting AHL sensitivity (<xref ref-type="bibr" rid="B67">Shong and Collins, 2013</xref>; <xref ref-type="bibr" rid="B84">Zeng et al., 2017</xref>).</p>
<p>Interestingly, fluorescence induction by AHL, whether externally added or produced by <italic>E. coli</italic>, often coincided with reduced cell growth. A native LuxR-like protein was identified, suggesting endogenous response to AHL despite a lack of production. This is consistent with interspecies quorum sensing in the rhizosphere (<xref ref-type="bibr" rid="B63">Pierson et al., 1998</xref>; <xref ref-type="bibr" rid="B69">Smith and Ahmer, 2003</xref>; <xref ref-type="bibr" rid="B70">Steidle et al., 2001</xref>). The observed growth slowdown may reflect a stress or density-sensing mechanism. Knocking out the LuxR homolog could clarify this interaction.</p>
<p>A limitation of our quorum sensing work is the absence of community context. In natural environments, quorum sensing is often disrupted by quorum quenching mechanisms (<xref ref-type="bibr" rid="B17">Choudhary and Schmidt-Dannert, 2010</xref>) or foreign AHLs, as up to 25% of oat rhizosphere bacteria produce AHLs (<xref ref-type="bibr" rid="B20">DeAngelis et al., 2008</xref>). Gram-positive quorum systems, based on oligopeptides, offer an alternative, with higher specificity and resistance to interference (<xref ref-type="bibr" rid="B17">Choudhary and Schmidt-Dannert, 2010</xref>; <xref ref-type="bibr" rid="B30">Federle and Bassler, 2003</xref>; <xref ref-type="bibr" rid="B51">Keller and Surette, 2006</xref>; <xref ref-type="bibr" rid="B59">Marchand and Collins, 2016</xref>), though their metabolic cost needs further investigation.</p>
<p>To combine root and population signals, we constructed a genetic AND gate using a toehold switch. The toehold from <xref ref-type="bibr" rid="B38">Green et al. (2014)</xref> was chosen for its high dynamic range (over 400-fold), orthogonality, and low leakiness. Initial test in <italic>P. fluorescens</italic> showed similar performance to <italic>P. putida</italic> (<xref ref-type="bibr" rid="B6">Asin-Garcia et al., 2024</xref>) validating circuit orthogonality.</p>
<p>The toehold was redesigned using pSal/nahR for trRNA expression (root detection) and AHL-dependent swRNA for quorum sensing. This design reflects natural colonization dynamics, where root signals precede quorum signals. When the bacterium is introduced to the soil, it is likely to encounter exudates before its own quorum signals, as these are typically produced in sufficient concentrations after root colonization. To minimize the toehold&#x2019;s leakiness, salicylic acid was used to activate trRNA transcription, as this component does not result in the production of proteins.</p>
<p>The redesigned switch achieved 20.5-fold induction upon co-induction, with minimal leakiness when signals were added separately. Fold-change calculations, however, may underestimate true induction due to the use of minimum fluorescence from the uninduced conditions (instead of an empty vector control) for background subtraction.</p>
<p>Despite minor variance in fluorescence across samples, the AND logic was clearly evident. Crucially, no significant growth impairment was observed, unlike the standalone quorum sensing experiments. This suggests the biosensor imposes a low metabolic burden, though further testing is needed to confirm this under environmental conditions. However, one limitation of the current study is the use of a two-plasmid system, each requiring distinct antibiotic selection markers. While this configuration facilitated rapid prototyping and characterization of the toehold-based logic circuit in <italic>P. fluorescens</italic> SBW25, it might also impose a considerable metabolic burden on the host and compromise its viability and stability, particularly in complex environments such as soil. This dual-plasmid setup is therefore not suitable for long-term or field-based applications, where selective pressure cannot be maintained. Future work will focus on integrating the biosensor components into the chromosome with genome editing tools to improve genetic stability and environmental robustness (<xref ref-type="bibr" rid="B5">Asin-Garcia et al., 2023</xref>), thereby enabling the deployment of such systems in root-associated or open-environment contexts.</p>
<p>Another key limitation is the lack of testing in rhizosphere-mimicking conditions. The microbial whole-cell biosensor strain (<italic>P. fluorescens</italic> pSEVAb64_SalTrg &#x2b; pSEVAb23_LuxRSw_GFP) was not assayed <italic>in situ</italic> in soil with live plants or in the presence of self-produced AHLs. Rhizosphere temperature fluctuations, which differ from our constant 30&#xb0;C incubation, may also affect RNA-based devices like toehold switches (<xref ref-type="bibr" rid="B13">Buol, 2013</xref>; <xref ref-type="bibr" rid="B80">Xia et al., 2019</xref>). Moreover, GFP was used as a reporter for ease of measurement rather than a functional output that imposes a metabolic burden, so system behavior under actual payload delivery remains unknown.</p>
<p>Nonetheless, this study presents a functional, orthogonal biosensor that responds selectively to plant root proximity and high cell density, offering a new genetic control layer for engineered rhizosphere bacteria. Within our <italic>Pseudomonas fluorescens</italic> SBW25 chassis, the biosensor is activated only under user-defined conditions, with minimal unintended activation. This specificity makes it a valuable tool for novel synthetic biology applications in agriculture.</p>
<p>Although we did not directly demonstrate that this engineered genetic circuit improves payload delivery efficiency or enhances the survival of <italic>P. fluorescens</italic> SBW25 compared to constitutive expression, we hypothesize that cellular burden will be reduced for several reasons. Even the expression of individual genes can impose a significant metabolic load, which is further exacerbated when expressing potentially toxic eukaryotic payloads intended for plants hosts (<xref ref-type="bibr" rid="B48">Karim et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Khow and Suntrarachun, 2012</xref>). This burden is expected to increase substantially when more complex, multi-protein payloads are involved.</p>
<p>Bacterial chassis offer a versatile platform for agricultural synthetic biology, providing faster engineering cycles, greater flexibility, and broader applicability compared to plant-based approaches (<xref ref-type="bibr" rid="B66">Scheepmaker et al., 2016</xref>). However, effective colonization of the rhizosphere remains a major challenge, as bacteria must continuously adapt to dynamic environmental conditions (<xref ref-type="bibr" rid="B44">Hossain et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Ke et al., 2021</xref>). Our biosensor is designed to increase bacterial effectiveness while minimizing cellular burden, thereby supporting better survival and enabling new use cases in agriculture.</p>
<p>One potential application is the controlled delivery of florigen and anti-florigen proteins to regulate flowering. Currently, flowering is largely dictated by environmental cues, limiting precision, especially in multi-year crops. Engineered bacteria that can be seasonally introduced or removed would allow precise temporal control over flowering without requiring permanent genetic modifications to the plant themselves.</p>
<p>In the context of biofertilizers, particularly nitrogen-fixing bacteria, previous studies by <xref ref-type="bibr" rid="B86">Jing et al. (2020)</xref> and <xref ref-type="bibr" rid="B64">Ryu et al. (2019)</xref> have shown promising results, but often overlooked the effects of heterologous protein production on bacterial fitness. Our biosensor could help maintain viability under field conditions, thereby improving the consistency and effectiveness of biofertilizers.</p>
<p>Biopesticides may also benefit from this system. By integrating quorum sensing with our biosensor, bacteria could be engineered to detect pathogenic quorum signals and release pesticidal compounds only at infection sites. This targeted response would enhance efficacy while minimizing environmental impact.</p>
<p>In conclusion, this work presents a biosensor that integrates environmental and quorum-sensing cues to drive gene expression only under defined, rhizosphere-relevant conditions. By restricting expression to the target location, the circuit reduces unnecessary burden on the chassis and adds a layer of spatial control that is particularly valuable for applications in open environments (<xref ref-type="bibr" rid="B15">Chemla et al., 2025</xref>). This spatial specificity is not only relevant for improving bacterial performance but also contributes to biosafety, as it limits the activity of engineered microbes to the intended context. As such, this system represents a step toward more predictable and contained microbial interventions in agriculture.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>NvD: Methodology, Formal Analysis, Visualization, Investigation, Writing &#x2013; review and editing, Data curation, Conceptualization, Writing &#x2013; original draft. AR: Writing &#x2013; review and editing, Conceptualization, Supervision, Methodology. EA-G: Resources, Funding acquisition, Validation, Project administration, Supervision, Writing &#x2013; review and editing, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Funding for this project was provided by internal sources from the Bioprocess Engineering chair group, the Laboratory of Microbiology, the Laboratory of Systems and Synthetic Biology, and AFSG at Wageningen University and Research. The publication of this research is supported by internal funding of the Bioprocess Engineering chair group.</p>
</sec>
<ack>
<p>The authors are very grateful to the support of the Wageningen UR iGEM team of 2023, PseuPomona, to all supervisors involved in the larger project, and the organizing chair groups at Wageningen UR (Bioprocess Engineering chair group, Laboratory of Microbiology and Laboratory of Systems and Synthetic Biology). We would like to extend our gratitude to Anna Doloman and Jenny Bakker for the use of plasmids related to quorum sensing.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fsysb.2025.1620608/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fsysb.2025.1620608/full&#x23;supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="DataSheet1.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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