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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Agron.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Agronomy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Agron.</abbrev-journal-title>
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<issn pub-type="epub">2673-3218</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fagro.2025.1732161</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>Mechanisms of biocontrol against strawberry angular leaf spot disease by a constructed <italic>Paenibacillus polymyxa</italic> MY-J3 microbial consortium</article-title>
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<name><surname>Ma</surname><given-names>Mengxiang</given-names></name>
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<name><surname>He</surname><given-names>Haowen</given-names></name>
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<name><surname>Li</surname><given-names>Yimei</given-names></name>
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<contrib contrib-type="author">
<name><surname>Deng</surname><given-names>Chunju</given-names></name>
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<name><surname>Zhang</surname><given-names>Jinhao</given-names></name>
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<name><surname>Lv</surname><given-names>Rong</given-names></name>
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<name><surname>Li</surname><given-names>Hongmei</given-names></name>
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<name><surname>Li</surname><given-names>Hao</given-names></name>
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<contrib contrib-type="author">
<name><surname>Ou</surname><given-names>Kunyu</given-names></name>
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<name><surname>Ji</surname><given-names>Guanghai</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University</institution>, <city>Kunming</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Key Laboratory of Agro-Biodiversity and Pest Management of Ministry of Education, Yunnan Agricultural University</institution>, <city>Kunming</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Guanghai Ji, <email xlink:href="mailto:jghai001@163.com">jghai001@163.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-20">
<day>20</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>1732161</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Ma, He, Li, Deng, Zhang, Lv, Li, Li, Ou and Ji.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Ma, He, Li, Deng, Zhang, Lv, Li, Li, Ou and Ji</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-20">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>Angular leaf spot (ALS) disease, caused by <italic>Xanthomonas fragariae</italic>, has emerged as a devastating bacterial pathogen, posing a serious threat to strawberry production. This study aimed to construct an effective synthetic microbial consortium using antagonistic bacteria and to elucidate its biocontrol mechanisms against ALS through an integrated approach including culturomics, real-time quantitative PCR (qPCR), and high-throughput sequencing of the phyllosphere microbiome. The main findings are as follows: Three synthetic microbial consortia were assembled following compatibility assessment. Among these, the combination of <italic>Paenibacillus polymyxa</italic> MY-J3 and <italic>Lysobacter antibioticus</italic> HY (designated M+H) demonstrated superior efficacy, achieving a relative control efficacy of 76.15% and 74.26% under greenhouse and field conditions, respectively. Using a tailored qPCR assay for <italic>X. fragariae</italic> detection, the M+H treatment reduced pathogen abundance by 99.99% compared to the control. The consortium M+H markedly up-regulated the expression of host defense-related genes while down-regulating key virulence genes of <italic>X. fragariae</italic>. The crude extract from the M+H consortium exhibited a minimum inhibitory concentration (MIC) of 80 mg/mL against <italic>X.&#xa0;fragariae</italic> and significantly disrupted bacterial biofilm formation, cell surface hydrophobicity, extracellular polysaccharide production, and reduced pathogenicity. Furthermore, treatment with the consortium notably altered the diversity and composition of the strawberry phyllosphere bacterial community. The microbial consortium M+H can suppress the occurrence of the ALS through multiple mechanisms, demonstrating promising application prospects.</p>
</abstract>
<kwd-group>
<kwd>strawberry angular leaf spot</kwd>
<kwd>bacterial consortium</kwd>
<kwd>biocontrol mechanism</kwd>
<kwd><italic>Paenibacillus polymyxa</italic></kwd>
<kwd>qPCR</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research is supported by the fund project of Yunnan Provincial Department of Science and Technology Basic Research Special-Key Project(202201AS070313), China. This work was supported by a key project fund(202201AS070313).</funding-statement>
</funding-group>
<counts>
<fig-count count="11"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="17"/>
<word-count count="9558"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Disease Management</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The strawberry (<italic>Fragaria &#xd7; ananassa</italic>), a perennial herbaceous plant within the genus <italic>Fragaria</italic> (Rosaceae), is cultivated worldwide due to its high nutritional value. Strawberry angular leaf spot (ALS), caused by the bacterium <italic>Xanthomonas fragariae</italic>, represents a major bacterial disease affecting cultivated strawberry growing regions. The pathogen belongs to the family Xanthomonadaceae. This disease was first identified and described in Minnesota, USA, in 1960 (<xref ref-type="bibr" rid="B19">Kennedy and King, 1962a</xref>, <xref ref-type="bibr" rid="B20">1962b</xref>). Since the 1970s, it has been progressively detected throughout Europe and is now present in strawberry production areas across the globe (<xref ref-type="bibr" rid="B8">Dye and Wilkie, 1973</xref>; <xref ref-type="bibr" rid="B28">Mazzucchi et&#xa0;al., 1973</xref>; <xref ref-type="bibr" rid="B35">Panagopoulos et&#xa0;al., 1978</xref>). ALS was classified as a quarantine pest by the European and Mediterranean Plant Protection Organization (EPPO) as early as 1986 (<xref ref-type="bibr" rid="B10">EPPO, 1986</xref>) and was subsequently listed in Annex II of the EU Council Directive 2000/29/EC (<xref ref-type="bibr" rid="B11">European Union, 2000</xref>). In 2007, it was also included in the Imported Plant Quarantine Pest List of the People&#x2019;s Republic of China. The disease affects nearly all plant tissues, including leaves, calyces, corollas, fruit stalks, and stems (<xref ref-type="bibr" rid="B13">Gubler et&#xa0;al., 1999</xref>). The pathogen is capable of systemic movement through the plant&#x2019;s vascular system, leading to infection of other leaf tissues, crown tissues, and developing daughter plants (<xref ref-type="bibr" rid="B15">Hildebrannd et&#xa0;al., 1967</xref>; <xref ref-type="bibr" rid="B32">Milholland et&#xa0;al., 1996</xref>).</p>
<p>Currently, chemical pesticides remain a primary measure for controlling ALS; however, their long-term use contributes to environmental pollution and may lead to the development of pesticide resistance. The development of resistant cultivars is another effective control strategy. Although breeding efforts are ongoing, no strawberry variety with complete resistance to ALS has been developed to date. Due to its environmental safety and reduced risk of inducing pathogen resistance, biological control has become a major research focus. Currently, research on the biocontrol of ALS is still in its early stages internationally. The (<xref ref-type="bibr" rid="B4">Daranas et&#xa0;al., 2019</xref>) reported that <italic>Lactobacillus</italic> strains TC92 and CC100, along with <italic>Leuconostoc mesenteroides</italic> strains CM160 and CM209, exhibited antagonistic effects against ALS. <italic>Bacillus subtilis</italic> QST713 has also shown some efficacy in controlling the disease. In recent years, research on phage-based biocontrol agents against plant pathogens has increased (<xref ref-type="bibr" rid="B16">Holtappels et&#xa0;al., 2019</xref>). McMahon et&#xa0;al (<xref ref-type="bibr" rid="B29">McMahon et&#xa0;al., 2020</xref>). isolated the <italic>xanthomonad</italic> phage RiverRider from naturally infected &#x2018;Festival&#x2019; strawberry plants, which demonstrated infectivity against seven distinct strains of <italic>X. fragariae</italic>. Henry et&#xa0;al (<xref ref-type="bibr" rid="B14">Henry et&#xa0;al., 2016</xref>). identified several antagonistic bacteria, including <italic>Pseudomonas koreensis</italic>, <italic>Pseudomonas mandelii</italic>, and <italic>Rhizobium radiobacter</italic>, capable of inhibiting the growth of <italic>X. fragariae</italic>.</p>
<p>The use of mixed microbial consortia represents a common strategy for plant disease management. Such combinations can enhance plant defense mechanisms and improve efficacy against pathogens. For instance, Dunne et&#xa0;al (<xref ref-type="bibr" rid="B7">Dunne et&#xa0;al., 1998</xref>). demonstrated that co-inoculation of phloroglucinol-producing fluorescent pseudomonads with proteolytic <italic>Stenotrophomonas maltophilia</italic> significantly improved suppression of <italic>Pythium</italic>-induced damping-off in sugar beet. Mao et&#xa0;al (<xref ref-type="bibr" rid="B27">Mao et&#xa0;al., 2005</xref>). found that combining <italic>B. subtilis</italic> and <italic>Pseudomonas fluorescens</italic> in specific ratios enhanced inhibitory effects against <italic>Fusarium solani</italic>. Similarly, De Boer et&#xa0;al (<xref ref-type="bibr" rid="B5">De Boer et&#xa0;al., 1999</xref>). showed that a combination of resistance-inducing <italic>Pseudomonas putida</italic> RE8 and siderophore-producing <italic>P. putida</italic> WCS358 provided improved control of Fusarium wilt in radish.Ye (<xref ref-type="bibr" rid="B47">Ye, 2023</xref>) reported that a 3:1 mixture of two <italic>Bacillus velezensis</italic> strains acted synergistically against cucumber damping-off. Wang et&#xa0;al. (<xref ref-type="bibr" rid="B42">Wang, 2022</xref>) combined high-activity <italic>Bacillus safensis</italic> with broad-spectrum antifungal <italic>Lysobacter enzymogenes</italic> OH11 at a volumetric ratio of 1:3, achieving effective control against major bacterial and fungal diseases including kiwifruit canker and anthracnose.</p>
<p>Conventional biocontrol strategies predominantly relying on single-strain applications often face limitations due to inconsistent field performance and narrow modes of action. In contrast, synthetic microbial consortia utilize functional complementarity among constituent strains to establish multidimensional synergistic interactions with pathogens, thereby enhancing both the stability and efficacy of disease control. In this study, we constructed various synthetic consortia by combining the newly isolated antagonistic strain MY-J3 with established biocontrol strains. These consortia were systematically evaluated through <italic>in vitro</italic> and field experiments to assess their biocontrol activity, while preliminary investigations were conducted to elucidate the mechanisms underlying suppression of ALS. This research provides foundation for developing effective compound microbial inoculants and formulating sustainable eco-friendly strategies for ALS management.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Identification of biocontrol strains and assessment of compatibility</title>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Identification of biocontrol bacteria</title>
<p>In this study, a biocontrol strain MY-J3 with strong antagonistic activity against <italic>X. fragariae</italic> was isolated from healthy strawberry plants in Mayi Village, Daibu Town, Qujing City, Yunnan Province, and characterized through morphological observation, physiological and biochemical profiling, and molecular identification. Colony morphology was examined on Nutrient Agar (NA), and cellular features were assessed via Gram staining and spore staining under a light microscope. Physiological profiling was performed using the Biolog GEN III system. For molecular identification, a single colony was inoculated into Nutrient Broth (NB) and cultured for 48 hours. Genomic DNA was extracted and used as a template for PCR amplification of the 16S rRNA and <italic>gyrA</italic> genes. The amplicons were sequenced by Beijing Tsingke Biotech Co., Ltd. Kunming Branch. (<ext-link ext-link-type="uri" xlink:href="http://Tsingke.com.cn">http://Tsingke.com.cn</ext-link>), and resulting sequences were aligned against the NCBI GenBank database using BLAST. Phylogenetic analysis was conducted with MEGA 11 (<xref ref-type="bibr" rid="B40">Tamura et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Compatibility assessment of strains</title>
<p>A compatibility assay was performed between <italic>P. polymyxa</italic> MY-J3 and three pre-selected antagonistic strains&#x2014;<italic>Lysobacter antibioticus</italic> HY (isolated from konjac), <italic>Pantoea ananatis</italic> XP-1 (isolated from rice), and <italic>Pseudomonas mediterranea</italic> YX5-4 (isolated from strawberry)&#x2014;all of which had demonstrated <italic>in vitro</italic> efficacy against <italic>X. fragariae</italic> YM2 and proven effective in controlling ALS under greenhouse conditions. The four strains were individually cultured in King&#x2019;s B broth at 28 &#xb0;C for 48 hours. Subsequently, 100 &#xb5;L of each suspension was spread on a KB agar plate, while 200 &#xb5;L aliquots from each of the other three strains were added into separate Oxford cups placed on the same plate. Following 48 hours of incubation at 28 &#xb0;C, presence or absence of inhibition zones between strains was assessed.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Construction of synthetic consortia and evaluation of <italic>in vitro</italic> antagonistic activity</title>
<p>Strains without mutual inhibition were selected to construct synthetic consortia. Each strain was pre-cultured individually in KB broth to obtain seed cultures. The experiment comprised the following treatments:(1) Control: <italic>X. fragariae</italic>-inoculated plate without bacterial treatment; (2) Fermentation broth of <italic>P.&#xa0;polymyxa</italic> MY-J3 (M); (3) Fermentation broth of <italic>L. antibioticus</italic> HY (H); (4) Fermentation broth of <italic>P. ananatis</italic> XP-1 (X); (5) Fermentation broth of <italic>P. mediterranea</italic> YX5-4 (Y); (6) Co-culture: MY-J3 mixed equally with other seed cultures and inoculated (1% v/v) into fresh KB medium for 48 h; (7) Post-fermentation blend: individually fermented strains mixed equally after separate 48 h culture. Antagonistic activity was evaluated by spreading <italic>X.&#xa0;fragariae</italic> on WBN agar. Oxford cups were placed 2 cm from the bacterial lawn, and filled with 200 &#xb5;L of each treatment broth. After 72 hours at 28 &#xb0;C, inhibition zone diameters were measured. All treatments were performed in triplicate.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Validation of biocontrol efficacy under greenhouse and field conditions</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Greenhouse experiment and control efficacy evaluation</title>
<p>The susceptible strawberry cultivar &#x2018;Monterey&#x2019; was used in greenhouse trials. The pot experiment was conducted in a controlled greenhouse environment with regulated temperature and irrigation. Ambient conditions were maintained at 80&#x2013;90% relative humidity and 20&#x2013;30 &#xb0;C. <italic>X. fragariae</italic> was inoculated into WBN medium and cultured at 28 &#xb0;C with shaking at 160 rpm for 48 hours to obtain the bacterial suspension. The suspension concentration was adjusted to an OD<sub>600</sub> value of 0.5, followed by spray inoculation onto the abaxial surface of strawberry leaves until runoff occurred. Nine treatments were applied in triplicate, including a conventional chemical control (bromothalonil &#xb7; bromonitrol, 1000&#xd7; dilution). Each biocontrol bacterium was cultured separately in shake flasks at 28 &#xb0;C and 160 rpm for 3 days to obtain fermentation broth. The concentration of all fermentation broths was uniformly adjusted to an OD<sub>600</sub> value of 2.0 prior to dilution. For single-strain treatments, the fermentation broth was diluted 20-fold. For synthetic consortium treatments, strains were first mixed at a 1:1 (v/v) ratio and then diluted 20-fold. Treatment details are provided in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. All treatments were applied by spraying on the second day after pathogen inoculation, followed by subsequent applications at two-day intervals for a total of three sprays. The control group was sprayed with an equivalent amount of sterile water. ALS incidence was assessed 15 days after the final pathogen inoculation. Disease severity was graded according to <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>. The disease index (DI) and relative control effect (RCE) were calculated as follows:Disease Index (DI)= 100 &#xd7; &#x2211; (Number of diseased leaves per grade &#xd7; Grade value)/(Total leaves surveyed &#xd7; Maximum grade value); Relative Control Effect (RCE, %) = (DI &#x2013; control &#x2013; DI &#x2013; treatment)/DI &#x2013; control &#xd7; 100.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Greenhouse trial design for controlling strawberry angular leaf spot using three single-strain agents and four composite microbial agents.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Numbering</th>
<th valign="middle" align="left">Composition of strains</th>
<th valign="middle" align="left">Processing method</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">M+H</td>
<td valign="middle" align="left">MY-J3+HY</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">M+Y</td>
<td valign="middle" align="left">MY-J3+YX5-4</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">M+H+Y+X</td>
<td valign="middle" align="left">MY-J3+HY+YX5-4+XP-1</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">M</td>
<td valign="middle" align="left">MY-J3</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">H</td>
<td valign="middle" align="left">HY</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">Y</td>
<td valign="middle" align="left">YX5-4</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">X</td>
<td valign="middle" align="left">XP-1</td>
<td valign="middle" align="left">diluted by 20 times</td>
</tr>
<tr>
<td valign="middle" align="left">Bromothalonil&#xb7;bromonitrol</td>
<td valign="middle" align="left">-</td>
<td valign="middle" align="left">diluted by 1000 times</td>
</tr>
<tr>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="left">-</td>
<td valign="middle" align="left">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>M: Paenibacillus polymyxa MY-J3, H: Lysobacter antibioticus HY, Y: Pseudomonas mediterranean YX5-4, X: Pantoea ananatis XP-1, CK: Clear water.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Field validation of synthetic consortia efficacy</title>
<p>Field trials were conducted at Lujiajing, Daibu Town, Huize County, Qujing City, Yunnan Province, China (geographical coordinates: 26.223&#xb0;N, 103.436&#xb0;E, WGS84 datum). The trials were carried out in a greenhouse cultivation area under drip irrigation during the summer of 2024 (June to August). The experimental period was warm, humid, and rainy, with average temperatures ranging from 17 &#xb0;C to 20 &#xb0;C and relative humidity between 75% and 85%. The field trial was conducted using the strawberry cultivar &#x2018;Monterey&#x2019; in plots with uniformly distributed incidence of ALS. Five treatments were evaluated, each with three replicates, totaling 15 plots. Each raised bed served as a replicate, containing 4 rows of strawberry plants, with each row comprising no fewer than 200 plants. Constructed bacterial consortia were applied as the main treatments, with a conventional chemical control (bromothalonil &#xb7; bromonitrol, 1000&#xd7; dilution) included for comparison (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The concentration of all fermentation broths was uniformly adjusted to an OD<sub>600</sub> value of 2.0 prior to dilution (28 &#xb0;C, 160 rpm, 3 days). The compound microbial consortia were mixed in a 1:1 (v/v) ratio and diluted 50-fold. All solutions were sprayed onto the abaxial surfaces of strawberry leaves at three-day intervals for a total of three applications, with an equivalent amount of water sprayed as the control. Disease incidence and control efficacy were assessed according to the methods described in Section 2.3.1.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Field trial design for controlling strawberry angular leaf spot using three composite microbial agents in Daibu Town, Qujing City, Yunnan Province.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Numbering</th>
<th valign="middle" align="left">Composition of strains</th>
<th valign="middle" align="left">Processing method</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">M+H</td>
<td valign="middle" align="left">MY-J3+HY</td>
<td valign="middle" align="left">Diluted 50 times spray</td>
</tr>
<tr>
<td valign="middle" align="left">M+Y</td>
<td valign="middle" align="left">MY-J3+YX5-4</td>
<td valign="middle" align="left">Diluted 50 times spray</td>
</tr>
<tr>
<td valign="middle" align="left">M+Y+H+X</td>
<td valign="middle" align="left">MY-J3+HY+YX5-4+XP-1</td>
<td valign="middle" align="left">Diluted 50 times spray</td>
</tr>
<tr>
<td valign="middle" align="left">Bromothalonil&#xb7;bromonitrol</td>
<td valign="middle" align="left">-</td>
<td valign="middle" align="left">Diluted 1000 times spray</td>
</tr>
<tr>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="left">-</td>
<td valign="middle" align="left">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, CK: Clear water.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quantification of pathogen colonization in planta using a tailored qPCR assay</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Standard curve establishment</title>
<p>A standard curve for qPCR was constructed using ten-fold serial dilutions of genomic DNA from <italic>X fragariae</italic> YM2. The logarithm of DNA concentration (log<sub>10</sub>) was plotted against Ct values to generate a regression equation for pathogen quantification. Method validity was evaluated based on the correlation coefficient (R&#xb2;), slope, and amplification efficiency (E), calculated as: E = 10 <sup>(&#x2212;1/slope)</sup> &#x2212; 1.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Quantification of <italic>X. fragariae</italic> in greenhouse samples via qPCR</title>
<p>Leaf samples were collected 10 days post-treatment in the greenhouse. Total DNA was extracted using the SteadyPure Plant Genomic DNA Extraction Kit. Pathogen-specific primers XopAF-F/R were used for qPCR analysis, and bacterial abundance in leaf tissues was quantified by interpolating Ct values into the standard curve established in Section 2.4.1.</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Gene expression profiling of host defense and bacterial virulence responses</title>
<sec id="s2_5_1">
<label>2.5.1</label>
<title>Synthetic consortia effects on strawberry defense gene expression</title>
<p>Total RNA was extracted from liquid liquid nitrogen-snap-frozen leaves collected 10 days after consortia treatment and reverse-transcribed into cDNA. Using <italic>FaGAPDH2</italic> as a reference, expression of defense-related genes (<italic>FaSnRK2</italic>, <italic>AOS</italic>, <italic>FaBG2-3</italic>, <italic>FaPR1</italic>, <italic>FaPAL</italic>, <italic>FaChi3</italic>, <italic>FaJAR1</italic>, <italic>FaEDS1</italic>) was quantified via qPCR (<xref ref-type="bibr" rid="B46">Xu, 2019</xref>). Primer sequences are listed in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>. Reactions were performed on a Roche LightCycler<sup>&#xae;</sup> 96 using a two-step protocol, with relative expression calculated by the 2<sup>(&#x2013;&#x394;&#x394;Ct)</sup> method.</p>
</sec>
<sec id="s2_5_2">
<label>2.5.2</label>
<title>Synthetic consortia effect on virulence gene expression in <italic>X. fragariae</italic></title>
<p>Total RNA was extracted from liquid liquid nitrogen-snap-frozen leaves collected 10 days after consortia treatment and reverse-transcribed into cDNA. Expression of virulence genes (<italic>xopR</italic>, <italic>Hpa2</italic>, <italic>flgG</italic>, <italic>fliA</italic>, <italic>rpfE</italic>, <italic>gumG</italic>, <italic>rtxD</italic>, <italic>rtxE</italic>) was analyzed using the <italic>X. fragariae</italic> housekeeping gene <italic>gyrB</italic> as an internal control. Primer sequences are provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;3</bold></xref>. Methods followed those described in Section 2.5.1.</p>
</sec>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Functional characterization of synthetic consortia</title>
<sec id="s2_6_1">
<label>2.6.1</label>
<title>Biofilm formation assay</title>
<p>Biofilm formation was assessed using the crystal violet staining method (<xref ref-type="bibr" rid="B18">Jiu et&#xa0;al., 2020</xref>). Bacterial strains were cultured individually in KB medium for 48 h, then mixed in equal proportions according to the consortium treatment groups and adjusted to OD<sub>600</sub> &#x2248; 0.5. A 100 &#x3bc;L aliquot of each bacterial suspension was added to 96-well plates containing 100 &#x3bc;L of fresh KB medium per well. Uninoculated KB medium served as the blank control. All treatments were performed in triplicate and incubated at 28 &#xb0;C for 48 hours.</p>
</sec>
<sec id="s2_6_2">
<label>2.6.2</label>
<title>Siderophore production assay</title>
<p>Siderophore production was evaluated with the chrome azurol S (CAS) assay (<xref ref-type="bibr" rid="B39">Sun et&#xa0;al., 2011</xref>). A 1% (v/v) inoculum of each bacterial consortium was cultured in MKB liquid medium for 72 hours. The supernatant was collected by centrifugation at 8000 &#xd7;g for 10 min and mixed with an equal volume of CAS detection solution. After 1 hours of reaction in the dark, the absorbance at 630 nm (A<sub>s</sub>) was measured. The reference (A<sub>r</sub>) was prepared using uninoculated MKB medium treated identically. Siderophore activity units (SU) were calculated as:SU = (A<sub>r</sub> &#x2212; A<sub>s</sub>)/A<sub>r</sub> &#xd7; 100%.</p>
</sec>
<sec id="s2_6_3">
<label>2.6.3</label>
<title>Cellulose degradation assay</title>
<p>Cellulose decomposition ability was qualitatively determined using Congo red staining (<xref ref-type="bibr" rid="B23">Liao et&#xa0;al., 2014</xref>). After centrifugation and concentration, the bacterial consortium was inoculated onto carboxymethyl cellulose sodium (CMC-Na) plates and incubated at 28 &#xb0;C for 48 hours. Plates were stained with 1 mg/mL Congo red for 10&#x2013;15 min, then destained with 1 mol/L NaCl. The formation of a hydrolysis zone indicated cellulose degradation. The hydrolysis capacity (H) was evaluated as the ratio of the hydrolysis zone diameter (D) to the colony diameter (d): H = D/d.</p>
</sec>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Antibacterial and anti-virulence activity of M+H consortium crude metabolites</title>
<sec id="s2_7_1">
<label>2.7.1</label>
<title>Preparation of crude metabolites</title>
<p><italic>P. polymyxa</italic> MY-J3 (M) and <italic>L. antibioticus</italic> HY (H) were inoculated into their respective optimal media (KB medium for MY-J3 and YH medium for HY) and cultured under shaking conditions for 3 days. Using an equal volume of uninoculated medium as control, the cultures were mixed at a 1:1 volume ratio and extracted three times with an equal volume of ethyl acetate by vigorous shaking. The upper ethyl acetate phase was collected via a separatory funnel and concentrated using a rotary evaporator, yielding a brown oily crude extract. After weighing, the extract was dissolved in a defined volume of dimethyl sulfoxide (DMSO), filtered through a 0.22 &#x3bc;m membrane, and stored in amber vials for subsequent use. Since no extract was obtained from the uninoculated medium control, an equal volume of DMSO was used as the solvent control in subsequent bioassays to exclude any effects of the extraction solvent.</p>
</sec>
<sec id="s2_7_2">
<label>2.7.2</label>
<title>Effect of crude metabolites on <italic>X. fragariae</italic> growth</title>
<p>The crude metabolites (M+H) were added to 50 mL suspensions of <italic>X. fragaria</italic>e YM2 to achieve final concentrations of 5, 10, 20, 40, 80, 120, and 160 &#x3bc;g/mL. A control was prepared using an equal volume of 1% DMSO. Bacterial growth was monitored by measuring OD<sub>600</sub> at 0, 12, 24, 36, 48, 60, and 72 h. The minimum inhibitory concentration (MIC) was determined as the lowest concentration showing no visible growth. All treatments were performed in triplicate.</p>
</sec>
<sec id="s2_7_3">
<label>2.7.3</label>
<title>Effect of crude metabolites on pathogenicity of <italic>X. fragariae</italic></title>
<p>Pathogenicity was assessed by calculating the disease index following treatment with the crude metabolites. <italic>X. fragariae</italic> YM2 was cultured in WBN medium for 24 hours, then treated with crude metabolites at 2&#xd7;MIC, MIC, and 1/2MIC concentrations. A control received 1% DMSO. After incubation (28 &#xb0;C, 160 rpm, 24 h), cells were harvested, washed with PBS, and resuspended to OD<sub>600</sub> &#x2248; 0.5. Strawberry leaves were sprayed with the suspensions, and the disease index was recorded 10 days post-inoculation. Each treatment included three replicates with 10 leaves per replicate.</p>
</sec>
<sec id="s2_7_4">
<label>2.7.4</label>
<title>Effect of crude metabolites on biofilm formation and cell surface hydrophobicity</title>
<p>Biofilm biomass was quantified using crystal violet staining (<xref ref-type="bibr" rid="B45">Wang et&#xa0;al., 2021</xref>). <italic>X. fragariae</italic> YM2 suspensions were treated with crude metabolites at concentrations of 5&#x2013;160 &#x3bc;g/mL (with 1% DMSO control) in 96-well plates and incubated at 28 &#xb0;C for 48 hours. Cell surface hydrophobicity (CSH) was determined using the microbial adhesion to hydrocarbons (MATH) method (<xref ref-type="bibr" rid="B3">Danchik and Casadevall, 2020</xref>). Bacteria were treated with crude metabolites at 1/2MIC, MIC, and 2&#xd7;MIC, incubated for 12&#x2013;48 h, washed, and resuspended in PBS. A 5 mL aliquot was mixed with n-hexane, vortexed, and allowed to separate. The aqueous phase absorbance (OD<sub>600</sub>) was measured. CSH was calculated as:CSH (%) = [1 &#x2212; (OD<sub>600</sub> &#x2212; treatment/OD<sub>600</sub> &#x2212; control)] &#xd7; 100.</p>
</sec>
<sec id="s2_7_5">
<label>2.7.5</label>
<title>Effect of crude metabolites on extracellular polysaccharide production</title>
<p>EPS production was measured using ethanol precipitation (<xref ref-type="bibr" rid="B49">Zhang, 2011</xref>). <italic>X. fragariae</italic> YM2 was treated with crude extract at 1/2MIC, MIC, and 2&#xd7;MIC (1% DMSO control) and cultured for 5 days (28 &#xb0;C, 160 rpm). A 10 mL sample was mixed with 20 mL absolute ethanol, stored at &#x2212;20 &#xb0;C overnight, and centrifuged at 4,000 &#xd7;g. The precipitate was dried and weighed to determine crude EPS yield.</p>
</sec>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>High-throughput sequencing analysis of the strawberry phyllosphere bacterial microbiome</title>
<p>Strawberry leaves were sampled 21 days after the application of the bacterial consortium, immediately placed on dry ice and submitted to Guangzhou Gideo Biotechnology Co., Ltd. for analysis. Genomic DNA was extracted from strawberry leaves using the SteadyPure Plant Genomic DNA Extraction Kit (Precision Biotechnology (Hunan) Co., Ltd., China). DNA quality was assessed through PCR amplification and verified using a Nanodrop spectrophotometer to determine integrity, concentration, and purity.High-throughput sequencing of the bacterial 16S rRNA gene V3&#x2013;V4 region was performed on the Illumina MiSeq platform using the primer pair 341F (5&#x2032;-ACTCCTACGGGAGGCAGCAG-3&#x2032;) and 806R (5&#x2032;-GGACTACHVGGGTWTCTAAT-3&#x2032;) (<xref ref-type="bibr" rid="B26">Luo et&#xa0;al., 2023</xref>). Paired-end sequencing was conducted on PCR-amplified products. Raw sequencing data underwent quality filtering to generate high-quality Effective Reads for downstream bioinformatic analysis. Data processing and interpretation were performed following the methodology described by Wang et&#xa0;al (<xref ref-type="bibr" rid="B43">Wang et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Data statistics and analysis</title>
<p>Statistical analysis was performed using IBM SPSS Statistics. One-way analysis of variance (ANOVA) was employed to assess mean differences among treatments, and graphs were generated using GraphPad Prism software. For disease index and yield data from field trials, the measurements from each treatment plot (containing approximately 800 plants) were pooled as a single independent observation, resulting in a sample size of n=3 per treatment. Differences among treatments were compared using one-way analysis of variance (ANOVA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and analysis</title>
<sec id="s3_1">
<label>3.1</label>
<title>The M+H consortium enhanced biocontrol of ALS</title>
<p>Following the isolation and identification of the core antagonistic strain MY-J3, we subsequently evaluated its compatibility with other candidate strains and successfully constructed synthetic consortia. Among these, the combination of <italic>P. polymyxa</italic> MY-J3 and <italic>L. antibioticus</italic> HY (designated M+H) demonstrated superior synergistic antagonism <italic>in vitro</italic>.</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>The antagonistic strain MY-J3 as a core component for a synthetic consortium</title>
<p>Through systematic isolation and screening, a potent antagonistic strain MY-J3 was obtained from healthy strawberry tissues, demonstrating remarkable inhibitory activity against ALS pathogen <italic>X. fragariae</italic> YM2. The inhibition zone diameter produced by MY-J3 reached 2.70 cm, significantly surpassing other isolates. The strain was identified as a Gram-positive, spore-forming rod-shaped bacterium (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1A&#x2013;C</bold></xref>). Based on 16S rRNA and gyrA gene sequence analysis, it was classified as <italic>P. polymyxa</italic> with a bootstrap value of 99% in the phylogenetic tree (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1D, E</bold></xref>). Physiological profiling using the Biolog GEN III system showed that MY-J3 could utilize 64 carbon sources (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;4</bold></xref>) and exhibited strong metabolic reducing capacity. The 16S rRNA and <italic>gyrA</italic> gene sequences of strain MY-J3 have been submitted to GenBank with accession numbers PP732390.1 and PX676550, respectively.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Bacterial identification of <italic>Paenibacillus polymyxa</italic> MY-J3. <bold>(A)</bold> Colony morphology of the strain, <bold>(B)</bold> Gram staining, <bold>(C)</bold> Spore morphological characteristics, <bold>(D, E)</bold> Phylogenetic tree based on 16S rRNA gene and <italic>gyrA</italic> gene.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g001.tif">
<alt-text content-type="machine-generated">Image panel showing microbial analysis and phylogenetic trees. (A) Petri dish with bacterial colonies. (B) and (C) Microscopic images of bacteria at 25 micrometer scale. (D) and (E) Phylogenetic trees with various bacterial species, indicating genetic relationships and similarity percentages.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Bacterial consortia: In vitro synergy and strain compatibility</title>
<p>To ensure consortium stability, we systematically evaluated the compatibility between MY-J3 and three preserved antagonistic strains (<italic>L. antibioticus</italic> HY (H), <italic>P. mediterranea</italic> YX5-4 (Y), <italic>P. ananatis</italic> XP-1 (X)). Dual verification through cross-streaking and oxford cup assays demonstrated complete absence of inhibition zones in all strain combinations, with no inhibitory phenomena observed at colony junctions (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref>), indicating excellent ecological niche compatibility. Comparison of two consortium construction strategies revealed that the &#x201c;mix-then-ferment&#x201d; approach (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>) consistently outperformed the &#x201c;ferment-then-mix&#x201d; method (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). The M+H consortium (MY-J3 + HY) constructed using the &#x201c;mix-then-ferment&#x201d; strategy produced an inhibition zone of 3.53 cm, significantly larger than those of individual strains MY-J3 (2.47 cm) and HY (2.53 cm), demonstrating clear synergistic effects. Among other combinations, M+Y (5.20 cm) and M+H+Y+X (5.30 cm) showed prominent antibacterial activity, while the M+X combination exhibited relatively weaker effects. Although the M+Y and M+H+Y+X consortia produced larger inhibition zones <italic>in vitro</italic>, the M+H consortium was selected for subsequent mechanistic studies because it showed superior and more consistent disease control efficacy in field trials, coupled with the lowest pathogen load in planta as quantified by qPCR. These systematic <italic>in vitro</italic> evaluations provide experimental evidence for selecting the M+H consortium for further mechanistic investigation.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Two methods were used to construct composite microbial agents by combining <italic>P. polymyxa</italic> MY-J3 with <italic>Lysobacter antibioticus</italic> HY, <italic>Pseudomonas mediterranea</italic> YX5-4, and <italic>Pantoea ananatis</italic> XP-1, followed by evaluating their inhibitory activity against <italic>Xanthomonas fragariae</italic> YM2. <bold>(A)</bold> Mixing first and then fermentation, <bold>(B)</bold> Fermentation before mixing. M: <italic>Paenibacillus polymyxa</italic> MY-J3, H: <italic>Lysobacter antibioticus</italic> HY, Y: <italic>Pseudomonas mediterranean</italic> YX5-4, X: <italic>Pantoea ananatis</italic> XP-1. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g002.tif">
<alt-text content-type="machine-generated">Bar charts labeled A and B show inhibitory diameters in centimeters for different treatments: M, H, Y, X, and combinations. Chart A shows highest values for M+Y, Y, and M+H. Chart B shows highest values for M+H+Y+X and M+Y. Error bars are included.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>The M+H consortium suppressed ALS and reduced pathogen load in greenhouse and field</title>
<p>Following the confirmation of its synergistic antagonism <italic>in vitro</italic>, we further evaluated the disease control potential of the M+H consortium under both greenhouse and field environments, and employed quantitative PCR to assess its capacity to reduce pathogen colonization in planta.</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Effective disease control under greenhouse and field conditions</title>
<p>Following confirmation of <italic>in vitro</italic> synergy, we evaluated the practical efficacy of the M+H consortium against ALS under both greenhouse and field environments. Comparison of nine treatment schemes revealed that all treatments significantly reduced disease incidence (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2</bold></xref>). Among them, the M+H consortium exhibited the optimal control efficacy in greenhouse trials, achieving a relative control effect of 76.15%, significantly higher than individual strain treatments M (58.33%) and H (60.00%) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>) (P&lt;0.05). The four-strain combination M+H+Y+X provided 77.69% control efficacy, showing no significant difference from M+H. Notably, the efficacy of M+H treatment significantly surpassed that of conventional chemical agent bromonitrol (60.66%). In field validation trials, the M+H treatment similarly exhibited excellent disease control performance, with a relative control efficacy of 74.26%. Under consistent conditions with biocontrol application as the only variable, the M+H consortium significantly outperformed the chemical agent bromonitrol NY, showing a higher yield increase (78.40% vs. 50.94%) and control efficacy (P &lt; 0.05) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). It is therefore hypothesized that the yield improvement stems from the plant growth-promoting properties of the biocontrol agents, and that disease control further enhances strawberry quality. These results fully demonstrate that the M+H consortium possesses stable and reliable disease control capacity under practical application conditions.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Efficacy evaluation of three single-strain agents and four composite microbial formulations against strawberry angular leaf spot in the greenhouse.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" align="left">Disease index</th>
<th valign="middle" align="left">Relative control effect/%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">M</td>
<td valign="middle" align="left">20.56 &#xb1; 0.64 c</td>
<td valign="middle" align="left">59.06 &#xb1; 0.38 b</td>
</tr>
<tr>
<td valign="middle" align="left">H</td>
<td valign="middle" align="left">21.11 &#xb1; 1.28 c</td>
<td valign="middle" align="left">58.00 &#xb1; 1.62 b</td>
</tr>
<tr>
<td valign="middle" align="left">Y</td>
<td valign="middle" align="left">20.18 &#xb1; 2.59 c</td>
<td valign="middle" align="left">59.76 &#xb1; 5.63 b</td>
</tr>
<tr>
<td valign="middle" align="left">X</td>
<td valign="middle" align="left">28.89 &#xb1; 2.78 b</td>
<td valign="middle" align="left">42.59 &#xb1; 4.64 c</td>
</tr>
<tr>
<td valign="middle" align="left">M+H</td>
<td valign="middle" align="left">12.04 &#xb1; 1.83 d</td>
<td valign="middle" align="left">76.15 &#xb1; 3.07 a</td>
</tr>
<tr>
<td valign="middle" align="left">M+Y</td>
<td valign="middle" align="left">16.11 &#xb1; 2.00 cd</td>
<td valign="middle" align="left">68.04 &#xb1; 3.25 ab</td>
</tr>
<tr>
<td valign="middle" align="left">M+H+Y+X</td>
<td valign="middle" align="left">11.30 &#xb1; 2.57 d</td>
<td valign="middle" align="left">77.69 &#xb1; 4.65 a</td>
</tr>
<tr>
<td valign="middle" align="left">Bromothalonil&#xb7;bronopol</td>
<td valign="middle" align="left">19.81 &#xb1; 2.32 c</td>
<td valign="middle" align="left">60.66 &#xb1; 3.79 b</td>
</tr>
<tr>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="left">50.18 &#xb1; 1.13 a</td>
<td valign="middle" align="left">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, CK: Clear water. The data in the table are mean &#xb1; standard deviation, and different lowercase letters in the same column indicate significant difference (P&lt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Field efficacy evaluation of three composite microbial agents against strawberry angular leaf spot in Daibu Town, Qujing City, Yunnan Province.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" align="left">Disease index</th>
<th valign="middle" align="left">Relative control effect/%</th>
<th valign="middle" align="left">Average increase in production/%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="left">47.72 &#xb1; 3.12 a</td>
<td valign="middle" align="left">-</td>
<td valign="middle" align="left">-</td>
</tr>
<tr>
<td valign="middle" align="left">M+H</td>
<td valign="middle" align="left">12.28 &#xb1; 1.84 b</td>
<td valign="middle" align="left">74.26 &#xb1; 3.63 a</td>
<td valign="middle" align="left">78.40 &#xb1; 0.07 a</td>
</tr>
<tr>
<td valign="middle" align="left">M+Y</td>
<td valign="middle" align="left">18.28 &#xb1; 1.65 b</td>
<td valign="middle" align="left">61.07 &#xb1; 4.16 b</td>
<td valign="middle" align="left">47.98 &#xb1; 0.08 c</td>
</tr>
<tr>
<td valign="middle" align="left">M+H+Y+X</td>
<td valign="middle" align="left">13.71 &#xb1; 4.36 b</td>
<td valign="middle" align="left">71.25 &#xb1; 3.60 ab</td>
<td valign="middle" align="left">69.93 &#xb1; 0.06 b</td>
</tr>
<tr>
<td valign="middle" align="left">NY</td>
<td valign="middle" align="left">15.14 &#xb1; 1.73 b</td>
<td valign="middle" align="left">68.37 &#xb1; 2.43 ab</td>
<td valign="middle" align="left">50.94 &#xb1; 0.03 c</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, NY: Bromothalonil&#xb7;bronopol, CK: Clear water. The data in the table are mean &#xb1; standard deviation, and different lowercase letters in the same column indicate significant difference (P &lt; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Significant reduction of pathogen colonization in plant tissues</title>
<p>To elucidate the physiological basis of disease control, we quantified pathogen load in plant tissues using a specific qPCR assay. A standard curve was established with the regression equation Ct = -3.2193 log<sub>[DNA]</sub> + 35.349 (R&#xb2; = 0.9993) and amplification efficiency of 104%, ensuring accurate quantification (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;3</bold></xref>). Results showed that 10 days post-inoculation, <italic>X. fragariae</italic> YM2 load in control plants reached 1.58&#xd7;10<sup>5</sup> fg/&#x3bc;L. In contrast, the M+H treatment group exhibited only 9.12&#xd7;10&#xb9; fg/&#x3bc;L, representing a 99.99% reduction compared to the control and demonstrating the most significant suppression (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>) (P&lt;0.05). This molecular evidence confirms that the M+H consortium effectively inhibits pathogen colonization and spread in strawberry plants. The significant positive correlation between pathogen load and disease severity further demonstrates that the consortium controls disease through direct suppression of pathogen growth.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Quantification of <italic>X. fragariae</italic> YM2 in strawberry leaves after 10-day greenhouse treatment was performed by qPCR using strain-specific primers XopAF-F/R. M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, NY: Bromothalonil&#xb7;bronopol, CK: Clear water. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing lg(CFU/&#x3bc;L) values for different groups: CK is highest at approximately 5.4, followed by NY slightly above 4.0. Other groups, including H, Y, X, M, M+H, M+Y, and M+H+Y+X, range from about 2.3 to 3.7. Error bars and letters indicate statistical significance.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>The M+H consortium primed strawberry defense via upregulation of defense genes</title>
<p>Based on the confirmed efficacy of the M+H consortium in suppressing pathogen spread, we further investigated its potential to enhance host immunity through activating plant systemic resistance. Systematic qPCR analysis of key defense pathway components and disease resistance-related genes in strawberry leaves revealed the molecular mechanisms underlying M+H-induced plant immunity.</p>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Significant induction of pathogenesis-related gene expression</title>
<p>qPCR results demonstrated that compared to the control and individual strain treatments, the M+H treatment significantly upregulated the transcriptional levels of a series of core defense-related genes (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>) (P&lt;0.05). Specifically, the expression of <italic>FaBG2-3</italic>, a &#x3b2;-1,3-glucanase gene associated with cell wall reinforcement, was upregulated by 2.40-fold, the pathogenesis-related protein gene <italic>FaPR1</italic> was upregulated by 2.32-fold, phenylalanine ammonia-lyase gene <italic>FaPAL</italic> by 2.31-fold, and chitinase gene <italic>FaChi</italic> by 3.63-fold, all significantly exceeding the levels observed in individual strain treatments. Notably, in the four-strain combination M+H+Y+X treatment, the upregulation of <italic>FaPR1</italic>, <italic>FaPAL</italic>, and <italic>FaChi3</italic> expression reached maximum levels of 13.27-fold, 29.07-fold, and 10.41-fold compared to the control group, respectively, indicating that the multi-strain combination has a synergistic enhancing effect on inducing plant defense gene expression. The coordinated upregulation of these PR proteins demonstrates that the M+H consortium successfully triggers the plant&#x2019;s basal immune response, establishing a systemic disease-resistant state.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The effect of composite microbial agents on the expression of strawberry resistance-related genes was analyzed by qPCR using specific primers after a 10-day greenhouse treatment. M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, NY: bromothalonil&#xb7;bromonitrol. The value &gt; 1 indicates that the gene is up-regulated, and &lt; 1 indicates that the gene is down-regulated. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g004.tif">
<alt-text content-type="machine-generated">Bar charts displaying relative gene expression levels for different treatments, labeled FaPAL, FaBG2-3, FAJAR1, AOS, FaSnRK2, FaEDS1, FaChi3, and FaPR1. Treatments include H, Y, X, M, M+H, M+Y, M+H+Y+X, and NY, with varying expression levels marked by letters a to e.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Differential regulation of plant defense signaling pathways</title>
<p>To understand the initiation mechanisms of immune signaling, we systematically analyzed the expression patterns of marker genes from different hormone pathways (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>) (P&lt;0.05). The study found that AOS, a key gene in the jasmonic acid pathway, was significantly induced in all consortium treatments, with the M+H treatment group showing the induction amplitude of 5.08-fold compared to the control. Particularly noteworthy, in the M+H treatment, the key ABA signaling receptor gene <italic>FaSnRK2</italic> showed specific upregulation, with expression levels 1.42-fold higher than the control, while in other treatment groups, the expression of this gene was lower than the control. In contrast, the expression pattern of <italic>FaEDS1</italic>, an important component of the salicylic acid pathway, varied among treatments: upregulated by 1.38-fold in the M treatment, 1.64-fold in the M+Y treatment, but downregulated in the M+H treatments. Another key jasmonic acid pathway gene, <italic>FaJAR1</italic>, showed significant down-regulation in the M+H treatment. Our results suggest that the M+H consortium fine-tunes the JA pathway, as indicated by the concurrent strong upregulation of the biosynthetic gene <italic>AOS</italic> and downregulation of the signaling gene <italic>FaJAR1</italic>.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>The M+H consortium and its metabolites directly impair key virulence traits of <italic>X. fragariae</italic></title>
<p>Beyond inducing plant resistance, we further investigated the direct inhibitory effects of the M+H consortium and its metabolites on the pathogen itself. This study provides multi-layered evidence from three aspects: consortium functional traits, metabolite activity, and virulence gene expression.</p>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>The M+H consortium enhanced colonization and competition potential</title>
<p>We first evaluated key functional traits of the consortium itself. The M + H consortium demonstrated the strongest biofilm production, with an OD<sub>590</sub> value of 0.7091, representing 2.18-fold and 1.41-fold increases over the H and M monocultures, respectively (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>) (P&lt;0.05), indicating a significantly enhanced ability to colonize plant surfaces and form stable microenvironments. Meanwhile, Siderophore content in the fermentation broth was quantified using the CAS assay. The M+H consortium yielded significantly higher siderophore levels than the H or M monocultures, exceeding them by 3.66-fold and 1.47-fold, respectively (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5B, D</bold></xref>) (P&lt;0.05), revealing a substantially improved capacity to compete with the pathogen for iron. Furthermore, assessment of cellulose degradation ability using Congo red staining revealed that the M+H consortium formed a hydrolysis zone-to-colony diameter ratio (H/d) of 3.29 on CMC-Na plates, significantly higher than those of the individual strains M (2.81) and H (2.77) (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5C, E</bold></xref>) (P&lt;0.05), demonstrating enhanced substrate degradation capability and environmental adaptability. This cellulolytic activity was only detectable under <italic>in vitro</italic> conditions with highly concentrated cells. Crucially, no leaf damage was observed on strawberry plants treated with the 20-fold diluted fermentation broth, indicating minimal risk under practical application. These enhanced physiological traits collectively improve the consortium&#x2019;s competitive survival on plant surfaces. This may directly or indirectly inhibit pathogen growth and colonization, and could also contribute to the activation of the plant&#x2019;s immune system.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Functional determination of composite microbial agents. <bold>(A)</bold> Determination of membrane generating capacity; <bold>(B, D)</bold> Determination of siderophile production capacity, <bold>(C, E)</bold> Determination of cellulose decomposition ability. M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, CK: Clear water. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g005.tif">
<alt-text content-type="machine-generated">Five-panel image showing:  (A) Bar chart of OD at 590 nm, with treatments labeled Y, H, X, M, M+H, M+Y, M+H+Y+X, and CK, showing various heights.  (B) Bar chart of relative siderophore percentage with the same treatments, differing values.  (C) Bar chart of cellulose decomposing capacity, treatments Y, H, X, M, and others, with various values.  (D) Test tubes containing liquids in shades of blue and green.  (E) Petri dishes with different growth patterns labeled Y, H, X, M, and others.  Each chart and dish displays different experimental results.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Crude metabolites inhibited pathogen growth and reduced pathogenicity</title>
<p>We further extracted secondary metabolites from the M+H fermentation broth. Growth curve assays demonstrated that the crude metabolites exhibited significant concentration-dependent inhibition against <italic>X. fragariae</italic>, with complete suppression of pathogen growth at 80 &#x3bc;g/mL, determined as the minimum inhibitory concentration (MIC) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). At concentrations of 120 &#x3bc;g/mL and 160 &#x3bc;g/mL, the pathogen failed to grow throughout the 72-hour incubation period. More importantly, <italic>in vivo</italic> pathogenicity assays revealed that when the pathogen was treated with MIC (80 &#x3bc;g/mL), and 2&#xd7;MIC (160 &#x3bc;g/mL) concentrations of the crude metabolites, the resulting d <italic>X. fragariae</italic> isease indices after inoculation onto strawberry plants significantly decreased to 16.67 and 9.45, respectively (control: 43.89) (<xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6B, C</bold></xref>) (P&lt;0.05), demonstrating that the crude metabolites effectively impair the pathogen&#x2019;s pathogenic capability with a clear dose-response relationship.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Effects of Crude Extract from the Composite Microbial Agent on Antibacterial Activity, Disease index, Biofilm Formation, Hydrophobicity, and Extracellular Polysaccharide Production in <italic>X. fragariae</italic> YM2. <bold>(A)</bold> Effect of M + H metabolites on the growth of <italic>X. fragariae</italic>, <bold>(B, C)</bold> Effect of metabolites on the pathogenicity, <bold>(D)</bold> Effects of metabolites on biofilm, <bold>(E)</bold> Effects of metabolites on hydrophobicity; <bold>(F)</bold> Effect of metabolites on exopolysaccharides. M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, CK: DMSO. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g006.tif">
<alt-text content-type="machine-generated">(A) Line graph showing optical density (OD) at 600 nm over time for varying concentrations of a substance. (B) Bar chart displaying disease index scores for CK, 1/2MIC, MIC, and 2MIC, with scores decreasing from CK to 2MIC. (C) Four leaves labeled 2MIC, MIC, 1/2MIC, and CK, showing varying levels of discoloration. (D) Bar chart showing OD at 590 nm for different substance concentrations, decreasing as concentration increases. (E) Line graph of cell surface hydrophobicity (CSH) over time for 1/2MIC, MIC, and 2MIC. (F) Bar chart of EPS contents in micrograms per milliliter for CK, 1/2MIC, MIC, and 2MIC, showing decreasing levels.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Crude metabolites disrupted pathogen invasion by interfering with key virulence phenotypes</title>
<p>The crude metabolites markedly inhibited biofilm formation and altered cell surface hydrophobicity (CSH) of <italic>X. fragariae</italic>. Biofilm biomass decreased with increasing metabolite concentration, with an OD<sub>590</sub> of 0.70 at MIC compared to 1.89 in the control (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6D</bold></xref>) (P&lt;0.05). CSH values were 50.0%, 16.7%, and 14.3% after treatment with 1/2MIC, MIC, and 2&#xd7;MIC, respectively (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6E</bold></xref>) (P&lt;0.05), indicating reduced surface hydrophobicity and potential impairment of host colonization. Furthermore, treatment with the crude metabolites significantly reduced the production of extracellular polysaccharides (EPS), EPS yields decreased to 75% and 68% of the control level at 1/2MIC and MIC, respectively. The 2&#xd7;MIC treatment resulted in the most substantial reduction, confirming the dose-dependent inhibitory effect on EPS synthesis (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6F</bold></xref>) (P&lt;0.05).</p>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>The M+H consortium attenuated pathogen virulence via downregulation of virulence genes</title>
<p>After 10 days of treatment, the expression of virulence-related genes in <italic>X. fragariae</italic> was analyzed. The results demonstrated that most consortia treatments downregulated virulence gene expression.In single-strain treatments, upregulation was observed only in <italic>fliA</italic> and <italic>flgG</italic> (flagellar motility genes) after YX5&#x2013;4 treatment, and in <italic>rpfE</italic> (quorum sensing), <italic>gumG</italic> (exopolysaccharide synthesis), and <italic>Hpa2</italic> (T3SS) after HY treatment, compared to the CK group. All other treatments, particularly the synthetic consortia, resulted in downregulation of these genes (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>) (P&lt;0.05).These findings suggest that biocontrol agents can impair motility, expansibility, and pathogenicity of <italic>X. fragariae</italic> in plant tissues. Overall, consortia treatments consistently suppressed the expression of pathogenicity-related genes, with single-agent treatments of XP-1 and MY-J3 also showing significant downregulatory effects.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The effect of composite microbial agents on the expression of <italic>X. fragariae</italic> virulence-related genes was analyzed by qPCR using specific primers after a 10-day greenhouse treatment. M: <italic>P. polymyxa</italic> MY-J3, H: <italic>L. antibioticus</italic> HY, Y: <italic>P. mediterranean</italic> YX5-4, X: <italic>P. ananatis</italic> XP-1, NY: bromothalonil&#xb7;bromonitrol. The value &gt; 1 indicates that the gene is up-regulated, and &lt; 1 indicates that the gene is down-regulated. Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g007.tif">
<alt-text content-type="machine-generated">Bar charts depict the relative expression levels of various genes: gumG, fliA, Hpa2, flgG, rpfE, RtxD, RtxE, and XopR. Each graph has bars labeled with letters indicating statistical significance across different treatments: H, Y, X, M, M+H, M+Y, M+H+Y+X, and NY. Expression levels vary with H and M+H often showing the highest expression, indicated by letter 'a'.</alt-text>
</graphic></fig>
<p>It is noteworthy that these molecular-level changes are highly consistent with the phenotypic results we observed&#x2014;the inhibition of virulence gene expression directly explains the reduced biofilm formation, decreased cell surface hydrophobicity, and diminished EPS production. This coordinated regulation of phenotypes and gene expression indicates that the M+H consortium comprehensively impairs the virulence of <italic>X. fragariae</italic> by simultaneously interfering with multiple pathways, including attachment capacity, motility, production of pathogenicity factors, and cell-cell communication. This multi-target mechanism of action may represent an important molecular basis for the exceptional disease control efficacy demonstrated by the M+H consortium in both greenhouse and field conditions.</p>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>The M+H consortium reshaped the phyllosphere bacterial community</title>
<p>Beyond direct antagonism and induced resistance, we investigated the ecological impact of the M+H consortium on the native strawberry phyllosphere bacteria at 21 days post-treatment, which is critical for assessing its role in achieving stable and sustainable biocontrol.</p>
<sec id="s3_5_1">
<label>3.5.1</label>
<title>Quality assessment of high-throughput sequencing data</title>
<p>The 16S rRNA gene amplicon sequencing of nine samples from three treatment groups was performed on the Illumina MiSeq platform. After filtering raw reads and removing chimeras, the average proportion of high-quality Tags reached 92.24%, with low variability among triplicate samples per group, indicating that the sequencing data were suitable for downstream analysis (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>). Rarefaction curves were used to assess the adequacy of sequencing depth and indirectly reflect species richness across samples. The curves for all three treatment groups rose steeply initially and then plateaued, demonstrating sufficient sequencing coverage and confirming that the data met analytical requirements (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Statistical overview and quality control of preprocessing for Strawberry phyllosphere bacterial data from high&#x2212;throughput Sequencing was performed on field&#x2212;collected strawberry leaves sampled 21 days after treatment with two composite microbial agents.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Sample name</th>
<th valign="middle" align="left">Raw reads</th>
<th valign="middle" align="left">Clean reads</th>
<th valign="middle" align="left">Raw tags</th>
<th valign="middle" align="left">Clean tags</th>
<th valign="middle" align="left">Chimera</th>
<th valign="middle" align="left">Effective tags</th>
<th valign="middle" align="left">Effective ratio (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">CK1</td>
<td valign="middle" align="left">98629</td>
<td valign="middle" align="left">98564</td>
<td valign="middle" align="left">97886</td>
<td valign="middle" align="left">97550</td>
<td valign="middle" align="left">6816</td>
<td valign="middle" align="left">90734</td>
<td valign="middle" align="left">92.00</td>
</tr>
<tr>
<td valign="middle" align="left">CK2</td>
<td valign="middle" align="left">94998</td>
<td valign="middle" align="left">94952</td>
<td valign="middle" align="left">94492</td>
<td valign="middle" align="left">94248</td>
<td valign="middle" align="left">9125</td>
<td valign="middle" align="left">85123</td>
<td valign="middle" align="left">89.61</td>
</tr>
<tr>
<td valign="middle" align="left">CK3</td>
<td valign="middle" align="left">90417</td>
<td valign="middle" align="left">90375</td>
<td valign="middle" align="left">89842</td>
<td valign="middle" align="left">89573</td>
<td valign="middle" align="left">7967</td>
<td valign="middle" align="left">81606</td>
<td valign="middle" align="left">90.26</td>
</tr>
<tr>
<td valign="middle" align="left">T1-1</td>
<td valign="middle" align="left">110573</td>
<td valign="middle" align="left">110514</td>
<td valign="middle" align="left">109507</td>
<td valign="middle" align="left">108935</td>
<td valign="middle" align="left">5963</td>
<td valign="middle" align="left">102972</td>
<td valign="middle" align="left">93.13</td>
</tr>
<tr>
<td valign="middle" align="left">T1-2</td>
<td valign="middle" align="left">104376</td>
<td valign="middle" align="left">104306</td>
<td valign="middle" align="left">103428</td>
<td valign="middle" align="left">102910</td>
<td valign="middle" align="left">4706</td>
<td valign="middle" align="left">98204</td>
<td valign="middle" align="left">94.09</td>
</tr>
<tr>
<td valign="middle" align="left">T1-3</td>
<td valign="middle" align="left">120236</td>
<td valign="middle" align="left">120148</td>
<td valign="middle" align="left">119065</td>
<td valign="middle" align="left">118430</td>
<td valign="middle" align="left">6921</td>
<td valign="middle" align="left">111509</td>
<td valign="middle" align="left">92.74</td>
</tr>
<tr>
<td valign="middle" align="left">T2-1</td>
<td valign="middle" align="left">133898</td>
<td valign="middle" align="left">133830</td>
<td valign="middle" align="left">132909</td>
<td valign="middle" align="left">132390</td>
<td valign="middle" align="left">7866</td>
<td valign="middle" align="left">124524</td>
<td valign="middle" align="left">93.00</td>
</tr>
<tr>
<td valign="middle" align="left">T2-2</td>
<td valign="middle" align="left">131374</td>
<td valign="middle" align="left">131308</td>
<td valign="middle" align="left">130001</td>
<td valign="middle" align="left">129341</td>
<td valign="middle" align="left">5987</td>
<td valign="middle" align="left">123354</td>
<td valign="middle" align="left">93.90</td>
</tr>
<tr>
<td valign="middle" align="left">T2-3</td>
<td valign="middle" align="left">129020</td>
<td valign="middle" align="left">128940</td>
<td valign="middle" align="left">127972</td>
<td valign="middle" align="left">127311</td>
<td valign="middle" align="left">9341</td>
<td valign="middle" align="left">117970</td>
<td valign="middle" align="left">91.44</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>T1: P. polymyxa MY-J3 + L. antibioticus HY), T2: P. polymyxa MY-J3 + L. antibioticus HY + M. Pseudomonas YX5-4 + P. pineapple XP-1, CK: water control.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Shannon diversity index rarefaction curve for high&#x2212;throughput sequencing was performed on field&#x2212;collected strawberry leaves sampled 21 days after treatment with two composite microbial agents. T1: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY), T2: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY + <italic>M. Pseudomonas</italic> YX5-4 + <italic>P. pineapple</italic> XP-1, CK: water control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g008.tif">
<alt-text content-type="machine-generated">Line graph showing Shannon diversity index on the y-axis and number of tags sampled on the x-axis. Three lines represent CK in orange, T1 in blue, and T2 in red. T2 reaches the highest value around 2.4, while CK and T1 stabilize near 1.6.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5_2">
<label>3.5.2</label>
<title>Significant enhancement of phyllosphere bacterial diversity and richness</title>
<p>High-throughput sequencing of the 16S rRNA gene V3&#x2013;V4 region from field-grown strawberry leaves demonstrated that the M+H treatment significantly altered the structure of the phyllosphere bacterial community. Principal coordinates analysis (PCoA) revealed clear separation between the treatment and control groups (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9A</bold></xref>), indicating substantial structural shifts in community composition. Alpha diversity analysis further confirmed that the M+H-treated group exhibited significantly higher Chao1 (1250.43), Sobs (1146.00), and Shannon (1.82) indices, along with a significantly lower Simpson index, compared to the control (<xref ref-type="fig" rid="f10"><bold>Figure&#xa0;10</bold></xref>) (P&lt;0.05). These results demonstrate that the application of M+H significantly increased both species richness and evenness of the phyllosphere bacterial community. Venn diagram analysis showed that the M+H treatment group contained 1224 operational taxonomic units (OTUs), including 736 unique OTUs, while the control group had only 599 OTUs with 318 unique OTUs (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9B</bold></xref>), further supporting that the introduced consortium substantially enriched the indigenous bacteria microbial resources.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>PcoA clustering of species community composition and Venn diagram of common/endemic species abundance based on high&#x2212;throughput sequencing was performed on field&#x2212;collected strawberry leaves sampled 21 days after treatment with two composite microbial agents. <bold>(A)</bold> PcoA cluster diagram, <bold>(B)</bold> Venn diagram, T1: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY, T2: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY + <italic>M. Pseudomonas</italic> YX5-4 + <italic>P. pineapple</italic> XP-1, CK: water control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g009.tif">
<alt-text content-type="machine-generated">Panel A shows a principal coordinate analysis (PCoA) plot depicting the clustering of CK, T1, and T2 groups with CK shown in yellow, T1 in blue, and T2 in red. Panel B presents a Venn diagram illustrating overlaps in data sets among CK, T1, and T2. CK intersects T1 with 77, T2 with 33, and all three share 204. Unique numbers are displayed in each section.</alt-text>
</graphic></fig>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Analysis of Alpha diversity indices from high&#x2212;throughput sequencing was performed on field&#x2212;collected strawberry leaves sampled 21 days after treatment with two composite microbial agents. T1: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY, T2: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY + <italic>M. Pseudomonas</italic> YX5-4 + <italic>P. pineapple</italic> XP-1, CK: water control). Different letters on the bars indicate significant differences according to Tukey&#x2019;s HSD at P &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g010.tif">
<alt-text content-type="machine-generated">Four bar charts compare diversity indices across three conditions: CK, T1, and T2. The first chart (Sob) shows T2 as highest, followed by T1, then CK. The second chart (Chao1) follows the same pattern. The third chart (Shannon) shows T2 highest, then T1 and CK. The fourth chart (Simpson) shows T2 and CK highest, T1 lowest. Error bars and letters a, b, ab indicate statistical significance.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5_3">
<label>3.5.3</label>
<title>Optimized community structure and specific pathogen suppression</title>
<p>After quality control, the obtained sequences met the requirements for downstream analysis. Comparative analysis of the top 12 most abundant bacterial phyla across samples revealed similar taxonomic profiles among treatments, though with variations in relative abundance.In treatments T1(M+H) and T2 (M+H+Y+X), Cyanobacteria (which may include chloroplast sequences from the host plant) and Proteobacteria were the dominant phyla, with relative abundances of 70.62% and 27.20% in T1, and 64.57% and 30.86% in T2, respectively. Compared to the CK group, T1 and T2 showed a significant increase in Cyanobacteria and a decrease in Proteobacteria. Minor phyla (&lt;1% abundance) were slightly enriched in both treatments relative to CK (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11A</bold></xref>). The increase in Cyanobacteria relative abundance in T1 and T2 suggests an enrichment of potentially beneficial taxa, potentially enhancing plant growth and disease resistance. At the genus level, <italic>Methylobacterium</italic>, <italic>Prevotella</italic>, <italic>Cossackia</italic>, and <italic>Halomonas</italic> showed increased abundance. The consortium treatments may have enriched genera such as <italic>Sphingomonas</italic>, <italic>Cossackia</italic>, and <italic>Halomonas</italic>, which are associated with toxin degradation, pathogen cell wall lysis, and nitrogen fixation, thereby improving plant stress resistance. Notably, the relative abundance of <italic>Xanthomonas</italic> was significantly reduced in T1 and T2, accounting for only 3.20% and 0.28% of that in the CK group, respectively (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11B</bold></xref>). These findings indicate that the M+H consortium did not disrupt the native ecology but instead steered the phyllosphere microbiome toward a healthier, more stable, and pathogen-suppressive state.</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Species composition of the top 12 taxa at phylum and genus levels based on high&#x2212;throughput sequencing was performed on field&#x2212;collected strawberry leaves sampled 21 days after treatment with two composite microbial agents. <bold>(A)</bold> phylum level species composition, <bold>(B)</bold> genus-level species composition. T1: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY, T2: <italic>P. polymyxa</italic> MY-J3 + <italic>L. antibioticus</italic> HY + <italic>M. Pseudomonas</italic> YX5-4 + <italic>P. pineapple XP-1</italic>, CK: water control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-07-1732161-g011.tif">
<alt-text content-type="machine-generated">Two stacked bar charts labeled A and B show the relative abundance of bacterial communities. Chart A represents various bacterial phyla such as Proteobacteria and Actinobacteriota across samples CK, T1, and T2. Chart B shows specific genera, including Erwinia and Pseudomonas, across the same samples. The color legend identifies each phylum and genus. Both charts depict changes in microbial composition.</alt-text>
</graphic></fig>
<p>Notably, compared to the control group (CK), the overall abundance of Proteobacteria in the treatment groups (T1, T2) showed a decreasing trend, and the exogenously applied Firmicutes biocontrol agent was also not significantly detected at the phylum level. This pattern reflects the distinct ecological dynamics at the 21-day sampling point. In the control, explosive growth of the pathogen <italic>X. fragariae</italic> (Proteobacteria) dominated the community, leading to high Proteobacteria abundance (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11A</bold></xref>). In the treatment groups, after achieving early pathogen suppression, the populations of the exogenous biocontrol agents (including MY-J3 from Firmicutes and HY from Proteobacteria) naturally declined to low levels due to ecological competition. Simultaneously, through ecological regulation, they reshaped a microbial network centered on indigenous beneficial microbiota. This network continuously suppressed pathogen resurgence, resulting in a reduction in pathogen biomass that far exceeded the transient colonization contribution of the exogenous agents. Consequently, this led to a net decrease in Proteobacteria abundance and an overall optimization of the community structure in the treatment groups. These findings reveal the ecological principle of biocontrol treatment achieving sustained disease suppression through a &#x201c;priming-remodeling&#x201d; mechanism.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Construction and synergistic effects of synthetic consortia</title>
<p>Research on individual biocontrol agents in plant disease management has advanced significantly. Studies demonstrate that specific beneficial strains can effectively suppress pathogens by producing antimicrobial compounds, competing for resources, and inducing plant systemic resistance (<xref ref-type="bibr" rid="B31">Meng et&#xa0;al., 2024</xref>). The secondary metabolites of <italic>P. polymyxa</italic> MEZ6 suppress methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA) by inhibiting growth, preventing biofilm formation, downregulating virulence genes (e.g., <italic>agrA</italic>, <italic>spa</italic>), and disrupting membrane integrity, leading to ROS accumulation (<xref ref-type="bibr" rid="B33">Na et&#xa0;al., 2025</xref>). Similarly,Myxin from <italic>L. antibioticus</italic> targets <italic>X. fragariae</italic> by increasing membrane permeability, inducing ROS, inhibiting biofilm and EPS synthesis, and modulating gene expression, thereby achieving multi-target control of pathogen proliferation (<xref ref-type="bibr" rid="B6">Deng et&#xa0;al., 2025</xref>). Most commercial microbial agents rely on single exogenous strains, which often underperform under field conditions. In contrast, synthetic microbial consortia demonstrate enhanced practical value through greater functional diversity and ecological adaptability (<xref ref-type="bibr" rid="B52">Zhao et&#xa0;al., 2020</xref>). Based on strain compatibility and plate antagonism assays, multiple microbial consortia including M+H were successfully constructed using strains such as <italic>P. polymyxa</italic> MY-J3 (M) and <italic>L. antibioticus</italic> HY (H). This approach aligns with current trends in microbial community research, as exemplified by Hu et&#xa0;al.&#x2019;s <italic>Pseudomonas consortium</italic> that improved colonization and reduced tomato bacterial wilt incidence (<xref ref-type="bibr" rid="B17">Hu et&#xa0;al., 2021</xref>), Tan et&#xa0;al.&#x2019;s multi-strain combination that enhanced antibacterial efficacy against tomato wilt (<xref ref-type="bibr" rid="B41">Tan et&#xa0;al., 2025</xref>), and Zhang et&#xa0;al.&#x2019;s <italic>B. subtilis</italic> consortium that suppressed cabbage clubroot by modifying soil acidity and rhizosphere microbiota (<xref ref-type="bibr" rid="B50">Zhang et&#xa0;al., 2022</xref>). The M+H consortium significantly outperformed individual strains in biofilm formation, siderophore production, and cellulose degradation. Biofilms provide a stable microenvironment (<xref ref-type="bibr" rid="B18">Jiu et&#xa0;al., 2020</xref>), while siderophores mediate iron competition with pathogens (<xref ref-type="bibr" rid="B1">Cao et&#xa0;al., 2011</xref>). These synergistic functional traits collectively enhance the ecological competitiveness of the consortium.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Plant immune activation and defense mechanisms</title>
<p>Microbial consortia can enhance plant health by inducing systemic resistance, often through the regulation of secondary metabolic pathways and the enhancement of defense-related gene expression and enzyme activity (<xref ref-type="bibr" rid="B30">Mei et&#xa0;al., 2019</xref>). Supporting this, Li et&#xa0;al. demonstrated that a synthetic community activated plant immunity and suppressed pathogen growth (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2021</xref>). In line with these findings, our study revealed that the M+H consortium activated the strawberry immune system via multi-level, multi-pathway regulation. It significantly upregulated core defense-related genes (e.g., <italic>FaBG2-3</italic>, <italic>FaPR1</italic>, <italic>FaPAL</italic>, and <italic>FaChi3</italic>) and differentially modulated key hormone signaling pathways involving JA, ABA, and SA. The observed expression pattern&#x2014;strong upregulation of the JA biosynthetic gene <italic>AOS</italic> concurrent with the downregulation of the JA signaling gene <italic>FaJAR1</italic> and the SA pathway marker <italic>FaEDS1</italic>&#x2014;leads us to propose a potential &#x201c;rapid induction, timely attenuation&#x201d; strategy. This mechanism would enable an effective initial defense response while potentially mitigating fitness costs by fine-tuning the JA pathway and strategically reallocating resources away from the SA pathway, thereby aligning with the plant&#x2019;s growth-defense balance. This complex network regulation and cross-talk likely underpin the efficient induction of systemic resistance by the M+H consortium. Concurrently, our results demonstrate that the M+H consortium and its metabolites exerted multi-target inhibition against <italic>X. fragariae</italic> by disrupting biofilm formation, reducing cell surface hydrophobicity, and suppressing extracellular polysaccharide (EPS) production. These phenotypes are critically linked to pathogenicity, as EPS is a key virulence factor in <italic>Xanthomonas</italic>, facilitating attachment, colonization, and protection (<xref ref-type="bibr" rid="B21">Kumari et&#xa0;al., 2025</xref>), while cell surface hydrophobicity directly influences pathogen adhesion and aggregation on host surfaces (<xref ref-type="bibr" rid="B44">Wang et&#xa0;al., 2023</xref>). This study provides the first evidence that co-inoculation with <italic>B. thuringiensis</italic> CAPE95 and <italic>P. polymyxa</italic> CAPE238 functions as an effective biofertilizer for <italic>Tropaeolum majus</italic>, significantly enhancing plant growth. Genomic analysis identified key pathways involved in nutrient solubilization (nitrogen fixation, sulfur assimilation), phytohormone synthesis (IAA precursors), and antimicrobial production (bacilysin, paenibacillin) (<xref ref-type="bibr" rid="B2">Dal&#x2019;Rio et&#xa0;al., 2024</xref>). This aligns with studies showing that microbial consortia can promote plant growth through mechanisms such as nutrient solubilization and phytohormone synthesis, which may partly explain the observed yield increase in our study.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Pathogen inhibition and microecological remodeling</title>
<p>At the molecular level, M+H treatment significantly downregulated the expression of key virulence genes in <italic>X. fragariae</italic>, including flagellar motility genes (<italic>fliA</italic>, <italic>flgG</italic>), EPS-related <italic>gumG</italic>, T3SS-related <italic>Hpa2</italic>, quorum sensing-related <italic>rpfE</italic>, effector protein gene <italic>XopR</italic>, and specific virulence factors <italic>rtxD</italic> and <italic>rtxE</italic> &#x2014;all of which are part of major pathogenicity clusters (<italic>gum</italic>, <italic>hrp</italic>, <italic>rpf</italic>, <italic>xps</italic>) in the <italic>X. fragariae</italic> YM2 genome (<xref ref-type="bibr" rid="B36">Qiu et&#xa0;al., 2023</xref>). The consistency between gene suppression and phenotypic inhibition indicates that the consortium comprehensively suppresses the pathogen through transcriptional reprogramming, reducing the risk of resistance development. Real-time quantitative PCR analysis confirmed that the M+H consortium significantly reduced the density of <italic>X. fragariae</italic> in strawberry leaves, thereby effectively controlling pathogen spread.Recent studies highlight microbial community modulation as a promising disease control strategy. Phyllosphere and rhizosphere microbes influence plant health through direct and indirect mechanisms, including pathogen inhibition, mutualistic symbiosis, and regulation of plant metabolism and gene expression (<xref ref-type="bibr" rid="B25">Liu et&#xa0;al., 2020</xref>). The bacteria in the synthetic consortium not only enhance nutrient availability by secreting phytohormones and siderophores but also modulate the microbial community, leading to an increase in the abundance of beneficial genera such as <italic>Acinetobacter</italic> and <italic>Anaeromyxobacter</italic> (<xref ref-type="bibr" rid="B38">Sarver et&#xa0;al., 2025</xref>). For instance, Fan et&#xa0;al. reported that biocontrol agents increased bacterial abundance and reduced fungal load in the soybean rhizosphere, suppressing <italic>Fusarium</italic> and <italic>Rhizoctonia</italic> while promoting beneficial microbes such as <italic>rhizobia</italic>, <italic>Trichoderma</italic>, and <italic>Pseudomonas</italic> (<xref ref-type="bibr" rid="B12">Fan et&#xa0;al., 2012</xref>). Zhang et&#xa0;al. found that specific consortia enriched beneficial bacteria in maize rhizosphere soil, improved microbial composition, and upregulated growth-promoting functional genes (<xref ref-type="bibr" rid="B51">Zhang et&#xa0;al., 2024</xref>). This study revealed that the M+H consortium significantly enhanced phyllosphere microbial diversity and richness, enriching beneficial genera such as <italic>Sphingomonas</italic> and <italic>Methylobacterium</italic>. Strawberry plants naturally host diverse microbial communities (<xref ref-type="bibr" rid="B34">Olimi et&#xa0;al., 2022</xref>), and beneficial bacteria like <italic>Pseudomona</italic> and <italic>Sphingomonas</italic> not only directly inhibit pathogens but also promote plant growth and stress tolerance (<xref ref-type="bibr" rid="B53">Zhu et&#xa0;al., 2023</xref>). Yuan et&#xa0;al. demonstrated Pseudomonas reshaped the phyllosphere microbiome by both direct antagonism and indirect virulence disruption, thereby suppressing disease and increasing yield (<xref ref-type="bibr" rid="B48">Yuan et&#xa0;al., 2024</xref>). Notably, Cyanobacteria as plant growth-promoting agents (<xref ref-type="bibr" rid="B9">El-Bestawy et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B37">Ramakrishnan et&#xa0;al., 2023</xref>) and the Type VI Secretion System (T6SS) in microbial interactions (<xref ref-type="bibr" rid="B24">Lin et&#xa0;al., 2025</xref>) play important roles in microecological regulation and warrant further investigation.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Conclusion and future directions</title>
<p>In this study, a synthetic microbial consortium designated M+H, with <italic>P. polymyxa</italic> MY-J3 as the core strain, was successfully constructed. It significantly enhanced the control efficacy against ALS through multiple mechanisms, including synergistic biocontrol activities, activation of plant systemic resistance, suppression of pathogen virulence, antibacterial action of crude extracts, and remodeling of the phyllosphere microbiome. This consortium provides an integrated solution that overcomes the limitations of single-strain approaches and establishes a theoretical foundation for developing next-generation compound microbial pesticides. Future research should focus on (1) optimizing consortium ratios to elucidate inter-strain interactions; (2) characterizing metabolomic profiles to identify key active compounds; (3) evaluating the consortium&#x2019;s stability and efficacy under diverse environmental conditions; (4) elucidating the mechanisms underlying the observed yield increase, specifically by quantifying plant growth promotion traits (e.g., phytohormone production, nutrient solubilization) of the M+H consortium and their relative contribution to yield under both diseased and non-diseased conditions; and (5) investigating the molecular mechanisms of plant-consortium interactions.</p>
</sec>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original datasets presented in this study are openly available in Mendeley Data at doi: 10.17632/fg5hxsj5kt.1.</p></sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>MM: Data curation, Formal Analysis, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. HH: Writing &#x2013; original draft. YL: Supervision, Validation, Writing &#x2013; review &amp; editing. CD: Supervision, Validation, Writing &#x2013; review &amp; editing. JZ: Writing &#x2013; review &amp; editing. RL: Writing &#x2013; review &amp; editing. HML: Writing &#x2013; review &amp; editing. HL: Writing &#x2013; review &amp; editing. KO: Writing &#x2013; review &amp; editing. GJ: Writing &#x2013; review &amp; editing, Supervision, Validation.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>This article draws upon data from the master&#x2019;s thesis of WH (Class of 2025), which have undergone subsequent reorganization and synthesis. We gratefully acknowledge the experimental data provided by WH from her master&#x2019;s thesis. We also extend our sincere thanks to GJ for his guidance on this article. All authors have read and approved the final version of this manuscript for submission.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors 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></sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation 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></sec>
<sec id="s10" sec-type="disclaimer">
<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 id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fagro.2025.1732161/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fagro.2025.1732161/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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