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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1497987</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of osthole and <italic>Bacillus amyloliquefaciens</italic> on the physiological growth of <italic>Panax quinquefolius</italic> in a forest</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Jinhui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2835517/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fan</surname> <given-names>Guangxiong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wen</surname> <given-names>Rong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Tao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1575544/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>He</surname> <given-names>Shuran</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname> <given-names>Shengchao</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c004"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/387079/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zi</surname> <given-names>Shuhui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c005"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Agronomy and Biotechnology, Yunnan Agricultural University (YNAU)</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Resources and Environment, Yunnan Agricultural University (YNAU)</institution>, <addr-line>Kunming</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>College of Biological and Agricultural Sciences, Honghe University</institution>, <addr-line>Mengzi</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Prem Lal Kashyap, Indian Institute of Wheat and Barley Research (ICAR), India</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Swarnalee Dutta, Jeonbuk National University, Republic of Korea</p>
<p>Jamil Shafi, University of Agriculture, Pakistan</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Rong Wen, <email>2257438365@qq.com</email></corresp>
<corresp id="c002">Tao Liu, <email>52133490@qq.com</email></corresp>
<corresp id="c003">Shuran He, <email>shuran@ynau.edu.cn</email></corresp>
<corresp id="c004">Shengchao Yang, <email>shengchaoyang@163.com</email></corresp>
<corresp id="c005">Shuhui Zi, <email>258437889@qq.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1497987</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Jiang, Fan, Wen, Liu, He, Yang and Zi.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Jiang, Fan, Wen, Liu, He, Yang and Zi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>The biological activities of osthole have been widely reported in recent years. However, few studies have been conducted on osthole in agriculture, and its effects on plant growth have little been reported.</p>
</sec>
<sec>
<title>Methods</title>
<p>Three experimental treatments were set up in this experiment: blank control (CK), osthole (CLS), and <italic>B. amyloliquefaciens</italic> (LKWS). In this study, the effects of osthole and <italic>Bacillus amyloliquefaciens</italic> on the growth parameters, photosynthesis, antioxidant enzyme activities, disease incidence, and microbiome of forested <italic>P. quinquefolius</italic> were tested.</p>
</sec>
<sec>
<title>Results</title>
<p>This study demonstrates that the use of osthole and <italic>B. amyloliquefaciens</italic> significantly improved the growth of <italic>Panax quinquefolius</italic> in a forest compared to that in the control treatment, increased the total chlorophyll and carotenoid content of <italic>P. quinquefolius</italic>, significantly increased its net photosynthetic rate, and decreased the stomatal conductance and intercellular CO<sub>2</sub> levels. In addition, the use of osthole and <italic>B. amyloliquefaciens</italic> significantly improved ascorbate peroxidase and peroxidase (POD) activities, enhanced antioxidant activities of the <italic>P. quinquefolius</italic> POD, and reduced the disease incidence and index of American ginseng anthracnose. Based on the American ginseng microbiome analysis, the use of osthole and <italic>B. amyloliquefaciens</italic> could change the structure of the American ginseng microbial community, significantly increase the diversity of American ginseng bacteria, significantly decrease the diversity of American ginseng fungi, stimulate the recruitment of more growth-promoting microorganisms to American ginseng, and build a more stable microbial network in American ginseng.</p>
</sec>
<sec>
<title>Discussion</title>
<p>In conclusion, we found that the application of osthole had a positive effect on the growth of American ginseng, providing a theoretical basis for its subsequent application in agriculture.</p>
</sec>
</abstract>
<kwd-group>
<kwd>osthole</kwd>
<kwd><italic>Bacillus amyloliquefaciens</italic></kwd>
<kwd><italic>Panax quinquefolius</italic></kwd>
<kwd>microbiome</kwd>
<kwd>resistance</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="6"/>
<equation-count count="8"/>
<ref-count count="64"/>
<page-count count="13"/>
<word-count count="8093"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbial Symbioses</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Osthole, also known as osthol (7-methoxy-8-(3-methyl-2-butenyl)-2H-1-benzopyran-2-one; C15H16O3), is a natural coumarin first derived from <italic>Cnidium</italic> plant. The mature fruits of <italic>Cnidium</italic> contain high levels of osthole, which is commonly used in the clinical practice of traditional Chinese medicine, and osthole is also widely found in other medicinal plants (<xref ref-type="bibr" rid="ref65">Zhang et al., 2015</xref>). Previous studies have shown that osthole has many pharmacological properties, including anti-inflammatory (<xref ref-type="bibr" rid="ref34">Liao et al., 2010</xref>) and anti-osteoporosis (<xref ref-type="bibr" rid="ref32">Kuo et al., 2005</xref>) effects, and can inhibit systolic blood pressure (<xref ref-type="bibr" rid="ref40">Ogawa et al., 2007</xref>), Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="ref32">Kuo et al., 2005</xref>) and cancer (<xref ref-type="bibr" rid="ref54">Shokoohinia et al., 2018</xref>). Osthole has long been used as an antifungal agent and insecticide against plant diseases and pests in China due to it exhibiting less harmful effects on humans and the environment (<xref ref-type="bibr" rid="ref45">Ren Z. et al., 2020</xref>; <xref ref-type="bibr" rid="ref64">Zhang et al., 2016</xref>). In addition, <italic>Bacillus amyloliquefaciens</italic>, as a biofertilizer, provides significant help in increasing agricultural yields and plant resistance.</p>
<p><italic>Bacillus amyloliquefaciens</italic> is a gram-positive spore-forming bacterium found in the soil that can colonize the inter-roots of plants and grow under stressful conditions. It has been defined as a non-toxic and environmentally friendly plant growth-promoting agent (<xref ref-type="bibr" rid="ref10">Chen et al., 2007</xref>; <xref ref-type="bibr" rid="ref43">Qiao et al., 2014</xref>). As a plant growth-promoting inter-root bacterium, <italic>B. amyloliquefaciens</italic> is considered an excellent agent for exploring biofertilizers and biocontrols in agriculture, and is used to improve plant tolerance to biotic and abiotic stresses (<xref ref-type="bibr" rid="ref15">Dimopoulou et al., 2021</xref>; <xref ref-type="bibr" rid="ref17">Gamez et al., 2019</xref>; <xref ref-type="bibr" rid="ref30">Kazerooni et al., 2021</xref>).</p>
<p><italic>Panax quinquefolius</italic> is native to the eastern temperate forest regions of North America and was first discovered in Quebec, Canada. American ginseng has been cultivated in China since the 1980s (<xref ref-type="bibr" rid="ref38">McGraw et al., 2013</xref>). After more than 40&#x202F;years of development, China has become the third largest country for <italic>P. quinquefolius</italic> cultivation (<xref ref-type="bibr" rid="ref25">Huang et al., 2013</xref>). American ginseng is a well-known medicinal plant with a high market demand as dietary supplements and functional foods (<xref ref-type="bibr" rid="ref41">Pang et al., 2023</xref>). American ginseng is known for its wide range of pharmacological effects, including anticancer, antioxidant, anti-aging, anti-fatigue, memory-enhancing, and immune-enhancing effects (<xref ref-type="bibr" rid="ref11">Cheong et al., 2014</xref>; <xref ref-type="bibr" rid="ref26">Hwang et al., 2014</xref>; <xref ref-type="bibr" rid="ref31">Kim et al., 2018</xref>; <xref ref-type="bibr" rid="ref46">Riaz et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Tan et al., 2013</xref>). Various chemical components, including ginsenosides, lipids, polysaccharides, organic acids, amino acids, phenolic acids, and vitamins, have been identified in <italic>P. quinquefolius</italic> that exert various effects (<xref ref-type="bibr" rid="ref18">Guo et al., 2015</xref>; <xref ref-type="bibr" rid="ref35">Lin et al., 2019</xref>; <xref ref-type="bibr" rid="ref61">Wang et al., 2015</xref>). In addition to specific advantages over field farming, such as lower costs and often higher prices, American ginseng forest plantations can improve forest health and increase biodiversity (<xref ref-type="bibr" rid="ref53">Sheban et al., 2022</xref>).</p>
<p>In order to better utilize the growth-promoting effects of osthole and <italic>Bacillus amyloliquefaciens</italic> in the cultivation of <italic>Panax quinquefolius</italic>, the present study aimed to (1) investigate the effects of osthole and <italic>Bacillus amyloliquefaciens</italic> on the growth, photosynthesis, and antioxidant systems of <italic>Panax quinquefolius</italic> in the understory, and (2) to determine the regulatory effects of osthole and <italic>Bacillus amyloliquefaciens</italic> on the endophytic bacterial communities in <italic>Panax quinquefolius</italic>, and to explore the potential mechanisms of its role in the promotion of plant growth. The results of this study are expected to provide an important scientific basis for further application of osthole in agriculture and practical suggestions for optimizing the cultivation and management of American ginseng.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Materials</title>
<p>Osthole was purchased from Chengdu New Sunrise Crop Science Co., Ltd. (Chengdu, China), with the main ingredient of 0.4% osthole used in subsequent tests. A <italic>B. amyloliquefaciens</italic> strain was purchased from Zhongnong Lukang (Beijing) Biotechnology Co. (Beijing, China).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Plant growth conditions</title>
<p>The experiment was conducted in 2022 at a forested American ginseng base in Luquan County, Kunming, Yunnan Province, China. The site is located at 25&#x00B0;38&#x2032; N latitude and 102&#x00B0;80&#x2032; E longitude, covering an area of approximately 50,000&#x202F;m<sup>2</sup>, with an elevation of 2,700&#x202F;m. The average annual temperature is approximately 7.0&#x2013;10.9&#x00B0;C, &#x2265;10&#x00B0;C effective cumulative temperature is 3,300&#x00B0;C, and annual precipitation is 1,000&#x202F;mm. Precipitation in the months of June&#x2013;August accounts for approximately 70% of the annual precipitation. The test material comprised 2-year-old understory western ginseng, with a plant spacing of 7&#x202F;&#x00D7;&#x202F;20&#x202F;cm in a north&#x2013;south direction.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Experimental design</title>
<p>The randomized group method was used, and three treatments set up: blank control (CK), osthole (CLS), and <italic>B. amyloliquefaciens</italic> (LKWS). Three replications and 2-year-old American ginseng seedlings were used, isolation boards set up between the treatments to prevent mutual influences, and the treatments initiated from June 1. Treatments were performed every 15&#x202F;days for a total of five treatments and processed up until July 30; all treatment concentrations used were in accordance with instructions and product manuals of the corresponding companies. CLS (7.720&#x202F;mL) was diluted 400 times, and LKWS (21.45&#x202F;g) diluted 700 times.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Plant morphological indicators</title>
<p>The agronomic traits of American ginseng were measured at the leaf spreading stage. The main metrics measured were plant height, stem thickness, root thickness, and root dry weight. Plant height was measured by placing a tape measure from the bottom of the ginseng to the top of the first leaf. Stem and root thicknesses were measured at the thickest point using a vernier caliper. At harvest, the roots were uprooted and washed with distilled water, where after they were dried at 70&#x00B0;C for 1 week. When the weight was almost unchanged, the dry weight of the roots was weighed with an electronic balance of one ten-thousandth of a millimeter.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Plant physiological indicators</title>
<sec id="sec8">
<label>2.5.1</label>
<title>Measurement of photosynthesis</title>
<p>Stomatal conductance (<italic>G<sub>s</sub></italic>), intercellular CO<sub>2</sub> concentration (<italic>C<sub>i</sub></italic>), net photosynthetic rate (<italic>P<sub>n</sub></italic>), and transpiration rate (<italic>T<sub>r</sub></italic>) of <italic>P. quinquefolius</italic> were measured during its flowering period using an LI-6400 portable photosynthesis assay and photosynthesizer under sunny and cloudless weather conditions and between 10:00 and 12:00 Beijing time.</p>
</sec>
<sec id="sec9">
<label>2.5.2</label>
<title>Determination of chlorophyll content</title>
<p>Leaves were collected on the same day, immediately placed into liquid nitrogen, and returned to the laboratory to be stored in a&#x202F;&#x2212;&#x202F;80&#x00B0;C refrigerator until the chlorophyll content was measured. The chlorophyll content of <italic>P. quinquefolius</italic> was determined in strict accordance with the instructions of a chlorophyll kit (G0601F) supplied by Suzhou Grace Biotechnology Co. (Suzhou, China). The absorbance value A was read at wavelengths of 665, 649, and 470&#x202F;nm, and the chlorophyll a (Chla), chlorophyll b (Chlb), total chlorophyll (Chl), and carotenoid (Car) contents determined according to <xref ref-type="disp-formula" rid="EQ1">Equations (1&#x2013;5)</xref> below:</p>
<disp-formula id="EQ1">
<label>(1)</label>
<mml:math id="M1">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Chla content (mg/g fresh weight) =</mml:mi>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mfenced open="[" close="]">
<mml:mrow>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>13.95</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>665</mml:mn>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x2212;</mml:mo>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>6.88</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>649</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">V</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">D</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">W</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<disp-formula id="EQ2">
<label>(2)</label>
<mml:math id="M2">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Chlb content (mg/g fresh weight) =</mml:mi>
<mml:mspace width="0.25em"/>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo stretchy="true">[</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>24.96</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>649</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>7.32</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>665</mml:mn>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">V</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">D</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">W</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<disp-formula id="EQ3">
<label>(3)</label>
<mml:math id="M3">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Chl content (mg/g fresh weight) =</mml:mi>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mfenced open="[" close="]">
<mml:mrow>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>6.63</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>665</mml:mn>
</mml:mrow>
</mml:mfenced>
<mml:mo>+</mml:mo>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>18.08</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x0394;</mml:mi>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mn>649</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">V</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">D</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">W</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<disp-formula id="EQ4">
<label>(4)</label>
<mml:math id="M4">
<mml:mi mathvariant="normal">Car content (mg fresh weight)</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mo>=</mml:mo>
<mml:mspace width="0.25em"/>
<mml:msub>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>V</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>D</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>,</mml:mo>
<mml:mn>000</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>W</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:math>
</disp-formula>
<disp-formula id="EQ5">
<label>(5)</label>
<mml:math id="M5">
<mml:msub>
<mml:mi mathvariant="normal">Car (C</mml:mi>
<mml:mi mathvariant="normal">x</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mspace width="0.25em"/>
<mml:mo>=</mml:mo>
<mml:mspace width="0.5em"/>
<mml:mfrac>
<mml:mfenced open="[" close="]">
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>2.05</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>C</mml:mi>
<mml:mi>a</mml:mi>
</mml:mrow>
</mml:mfenced>
<mml:mo>&#x2212;</mml:mo>
<mml:mfenced open="(" close=")">
<mml:mrow>
<mml:mn>114.8</mml:mn>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>C</mml:mi>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mfenced>
<mml:mn>245</mml:mn>
</mml:mfrac>
</mml:math>
</disp-formula>
</sec>
<sec id="sec10">
<label>2.5.3</label>
<title>Determination of plant defense enzyme activities</title>
<p>The collected leaves of American ginseng were immediately transported back to the laboratory with liquid nitrogen preservation and stored in a refrigerator at &#x2212;80&#x00B0;C before the determination of peroxidase (POD) and ascorbate peroxidase (APX) activities in the leaves. POD and APX activities in the ginseng leaves were measured via visible spectrophotometry using the corresponding enzyme activity kits, including the POD assay (G0107F) and APX activity assay (G0203F) kits (Suzhou Grace Biotechnology Co.).</p>
</sec>
<sec id="sec11">
<label>2.5.4</label>
<title>Disease severity index</title>
<p>Each treatment was performed with three replicates, and the average distribution randomly taken for each replicate of 100 plants (a total of 300 plants). The number of diseased plants were counted for every 10&#x202F;days of the investigation until the wilting stage, and the incidence rate, disease index, and other indices also observed. The disease grade was divided into six levels, and the specific grading standards used are shown in <xref ref-type="table" rid="tab1">Table 1</xref>. The incidence rate, disease index, and effect of the control were calculated according to <xref ref-type="disp-formula" rid="EQ6">Equations (6&#x2013;8)</xref> below, respectively:</p>
<disp-formula id="EQ6">
<label>(6)</label>
<mml:math id="M6">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Incidence of</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">a</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">disease</mml:mi>
<mml:mspace width="0.25em"/>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mspace width="1.25em"/>
<mml:mfenced open="(" close=")">
<mml:mo>%</mml:mo>
</mml:mfenced>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mi mathvariant="normal">Number of incidence plants</mml:mi>
<mml:mi mathvariant="normal">Number of plants surveyed</mml:mi>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<disp-formula id="EQ7">
<label>(7)</label>
<mml:math id="M7">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Disease index</mml:mi>
<mml:mo>=</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>&#x03A3;</mml:mi>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">Number of diseased plants</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">Disease level value</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">Total number of plants surveyed</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">Highest disease level value</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<disp-formula id="EQ8">
<label>(8)</label>
<mml:math id="M8">
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mi mathvariant="normal">Control effect () =</mml:mi>
<mml:mspace width="0.25em"/>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="normal">Control of disease index</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi mathvariant="normal">Treatment condition index</mml:mi>
</mml:mrow>
<mml:mi mathvariant="normal">Control of disease index</mml:mi>
</mml:mfrac>
<mml:mo>&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Classification standards of surface diseases.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Grade</th>
<th align="left" valign="top">Symptom of a disease</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">Health</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="left" valign="top">The proportion of diseased spot area to leaf area was less than or equal to 5%</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">The area of the diseased spot is more than 5% of the leaf area and less than or equal to 10%</td>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">The area of the disease spot is more than 10% of the leaf area and less than or equal to 20%</td>
</tr>
<tr>
<td align="left" valign="top">4</td>
<td align="left" valign="top">The area of the disease spot is more than 20% of the leaf area and less than or equal to 50%</td>
</tr>
<tr>
<td align="left" valign="top">5</td>
<td align="left" valign="top">The diseased spot area is more than 50% of the leaf area</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Analysis of the plant microbiome</title>
<p>Fifteen days after the final treatment, <italic>P. quinquefolius</italic> was collected using a five-point sampling method with three replications. The ginseng was then divided into roots and above-ground parts, and all samples surface-sterilized with 75% alcohol for 2&#x202F;min, washed twice with distilled water, and then quickly frozen in liquid nitrogen, followed by storage at &#x2212;80&#x00B0;C prior to detecting its microbial diversity. High-throughput Illumina sequencing was used to characterize the microbial community structure in the plant samples (Majorbio Bio-Pharm Technology Co., Shanghai, China). Using primers 799F (5&#x2032;-AACMGGATTAGTACCCKG-3&#x2032;) and 1193R (5&#x2032;-ACGTCATCC CCACCTTCC-3&#x2032;) (<xref ref-type="bibr" rid="ref8">Bulgarelli et al., 2015</xref>), the V3&#x2013;V4 region of the bacterial 16S rRNA gene from American ginseng was amplified. Using primers ITS1F (5&#x2032;-CTTGGTCATTTAGAGGAAGTAA-3&#x2032;) and ITS2R (5&#x2032;-GCT) (GCGTTCTTCATCGATGC-3&#x2032;) (<xref ref-type="bibr" rid="ref55">Sun et al., 2018</xref>), the ITS1F&#x2013;ITS2R region of the fungal gene from American ginseng was amplified. Specific primers with barcodes were synthesized according to the indicated sequencing regions, and the samples then amplified using a thermal cycler (GeneAmp 9700; ABI, USA).</p>
</sec>
<sec id="sec13">
<label>2.7</label>
<title>Bioinformatics analysis</title>
<p>16S rRNA and ITS gene sequencing reads were demultiplexed using Fastp (version 0.19.6), merged with FLASH (version 1.2.11), and operational taxonomic units with 97% similarity clustered using UPARSE (version 11). Taxonomic assignments were made using the bacterial SILVA reference (version 138) and fungal UNITE (version 8.0) databases. Alpha diversity was determined using Mothur v.1.30.2. The basic R package &#x201C;stats&#x201D; (version 3.3.1.) was used to perform a two-tailed Wilcoxon rank-sum test (wilcox.test function). For high-throughput Illumina sequencing data analysis, the Majorbio Cloud online platform was used.</p>
</sec>
<sec id="sec14">
<label>2.8</label>
<title>Data processing and statistical analysis</title>
<p>Data for this trial were organized using Microsoft Excel 2019. SPSS 19.0 was used to test for significant differences in the means (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) and for correlation analysis. Origin 2021 was used for graphing.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results</title>
<sec id="sec16">
<label>3.1</label>
<title>Morphological indicators</title>
<p>To determine the effects of osthole and <italic>B. amyloliquefaciens</italic> on <italic>P. quinquefolius</italic>, plant height, stem thickness, root dry weight, and root thickness were measured (<xref ref-type="table" rid="tab2">Table 2</xref>). Treatment with CLS and LKWS significantly increased the plant height, stem thickness, root dry weight, and root thickness of <italic>P. quinquefolius</italic> compared to those after treatment with CK. Specifically, CLS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the plant height, stem thickness, root dry weight, and root thickness of <italic>P. quinquefolius</italic> by 9.03, 10.63, 61.67, and 25.57%, respectively, and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased these by 4.51, 12.94, 62.81, and 22.57%, respectively.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Effect of Osthole and <italic>Bacillus amyloliquefaciens</italic> on morphological indexes of American ginseng.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Plant height (cm)</th>
<th align="center" valign="top">Stem thick (mm)</th>
<th align="center" valign="top">Root dry heavy (g)</th>
<th align="center" valign="top">Root thick (cm)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CK</td>
<td align="center" valign="top">11.08&#x202F;&#x00B1;&#x202F;0.6596c</td>
<td align="center" valign="top">0.1715&#x202F;&#x00B1;&#x202F;0.0138b</td>
<td align="center" valign="top">0.5413&#x202F;&#x00B1;&#x202F;0.0950b</td>
<td align="center" valign="top">8.37&#x202F;&#x00B1;&#x202F;0.8730b</td>
</tr>
<tr>
<td align="left" valign="top">CLS</td>
<td align="center" valign="top">12.08&#x202F;&#x00B1;&#x202F;1.1989a</td>
<td align="center" valign="top">0.1919&#x202F;&#x00B1;&#x202F;0.0152a</td>
<td align="center" valign="top">0.8751&#x202F;&#x00B1;&#x202F;0.1222a</td>
<td align="center" valign="top">10.51&#x202F;&#x00B1;&#x202F;0.9899a</td>
</tr>
<tr>
<td align="left" valign="top">LKWS</td>
<td align="center" valign="top">11.58&#x202F;&#x00B1;&#x202F;0.8651b</td>
<td align="center" valign="top">0.1937&#x202F;&#x00B1;&#x202F;0.0133a</td>
<td align="center" valign="top">0.8813&#x202F;&#x00B1;&#x202F;0.0616a</td>
<td align="center" valign="top">10.29&#x202F;&#x00B1;&#x202F;0.8199a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are mean&#x202F;&#x00B1;&#x202F;standard deviation, different lowercase letters indicate statistically significant data between groups (<italic>P</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Effectiveness of anthrax control</title>
<p>As shown in <xref ref-type="table" rid="tab3">Table 3</xref>, the control treatment (CK) had the highest disease incidence of <italic>P. quinquefolius</italic> anthracnose (16.67%), whereas CLS and LKWS treatment significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) reduced this, showing lower disease incidence (3.67 and 2.13%, respectively). Consequently, both CLS and LKWS showed good control of western ginseng anthracnose, with CLS showing better control by 76.52%.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Preventive effect of Osthole and <italic>Bacillus amyloliquefaciens</italic> against the occurrence of American ginseng anthrax.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Disease incidence (%)</th>
<th align="center" valign="top">Disease severity (%)</th>
<th align="center" valign="top">Control efficacy (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">CK</td>
<td align="center" valign="middle">16.67&#x202F;&#x00B1;&#x202F;9.02a</td>
<td align="center" valign="middle">9.07&#x202F;&#x00B1;&#x202F;3.21a</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">CLS</td>
<td align="center" valign="middle">3.67&#x202F;&#x00B1;&#x202F;1.53b</td>
<td align="center" valign="middle">2.13&#x202F;&#x00B1;&#x202F;1.62b</td>
<td align="center" valign="middle">76.52</td>
</tr>
<tr>
<td align="left" valign="middle">LKWS</td>
<td align="center" valign="middle">9.00&#x202F;&#x00B1;&#x202F;1.00ab</td>
<td align="center" valign="middle">3.67&#x202F;&#x00B1;&#x202F;0.31b</td>
<td align="center" valign="middle">59.54</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are mean&#x202F;&#x00B1;&#x202F;standard deviation, different lowercase letters indicate statistically significant data between groups (<italic>P</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Chlorophyll content</title>
<p>The CLS and LKWS treatments had significant effects on the chlorophyll content of <italic>P. quinquefolius</italic> in the forest (<xref ref-type="fig" rid="fig1">Figure 1</xref>). CLS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the content of Chla and Chlb in <italic>P. quinquefolius</italic> by 43.13 and 35.33%, respectively, compared to that of CK. LKWS did not significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increase the content of Chla and Chlb in <italic>P. quinquefolius</italic>; however, they were increased by 15.63 and 6.45%, respectively, compared to that of CK (<xref ref-type="fig" rid="fig1">Figures 1A</xref>,<xref ref-type="fig" rid="fig1">B</xref>). CLS and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the Chl content of <italic>P. quinquefolius</italic> by 40.57 and 12.61%, respectively, compared to that of CK (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). Compared to that of CK, CLS and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the Car content of <italic>P. quinquefolius</italic> by 31.04 and 24.61%, respectively (<xref ref-type="fig" rid="fig1">Figure 1D</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Effect of osthole and <italic>Bacillus amyloliquefaciens</italic> chlorophyll content. Effect of osthole and <italic>Bacillus amyloliquefaciens</italic> on <bold>(A)</bold> Chlorophyll A, <bold>(B)</bold> Chlorophyll B, <bold>(C)</bold> Total chlorophyll and <bold>(D)</bold> Carotenoid. Different lowercase letters indicate significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fmicb-15-1497987-g001.tif"/>
</fig>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Photosynthesis parameters</title>
<p>Compared to those of CK, treatment with CLS significantly (p&#x202F;&#x003C;&#x202F;0.05) increased the P<sub>n</sub> by 67.96% and significantly decreased the G<sub>s</sub>, C<sub>i</sub>, and T<sub>r</sub> by 28.57, 9.83, and 18.18%, respectively (<xref ref-type="table" rid="tab4">Table 4</xref>). Compared to those of CK, LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the P<sub>n</sub> and T<sub>r</sub> by 13.02 and 14.97%, respectively, and significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) decreased the Gs by 14.29%.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Effect of Osthole and <italic>Bacillus amyloliquefaciens</italic> on photosynthetic parameters of American ginseng.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">P<sub>n</sub> (&#x03BC;mol&#x00B7;m<sup>&#x2212;2</sup>&#x00B7;s<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">G<sub>s</sub> (&#x03BC;mol&#x00B7;m<sup>&#x2212;2</sup>&#x00B7;s<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">C<sub>i</sub> (&#x03BC;mol&#x00B7;m<sup>&#x2212;2</sup>&#x00B7;s<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">T<sub>r</sub> (&#x03BC;mol&#x00B7;m<sup>&#x2212;2</sup>&#x00B7;s<sup>&#x2212;1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">CK</td>
<td align="center" valign="top">2.84&#x202F;&#x00B1;&#x202F;0.15c</td>
<td align="center" valign="top">0.14&#x202F;&#x00B1;&#x202F;0.01a</td>
<td align="center" valign="top">351.46&#x202F;&#x00B1;&#x202F;6.73a</td>
<td align="center" valign="top">1.87&#x202F;&#x00B1;&#x202F;0.06a</td>
</tr>
<tr>
<td align="left" valign="top">CLS</td>
<td align="center" valign="top">4.77&#x202F;&#x00B1;&#x202F;0.13a</td>
<td align="center" valign="top">0.10&#x202F;&#x00B1;&#x202F;0.01c</td>
<td align="center" valign="top">316.90&#x202F;&#x00B1;&#x202F;10.55b</td>
<td align="center" valign="top">1.53&#x202F;&#x00B1;&#x202F;0.03c</td>
</tr>
<tr>
<td align="left" valign="top">LKWS</td>
<td align="center" valign="top">3.21&#x202F;&#x00B1;&#x202F;0.03b</td>
<td align="center" valign="top">0.12&#x202F;&#x00B1;&#x202F;0.02b</td>
<td align="center" valign="top">345.67&#x202F;&#x00B1;&#x202F;8.12a</td>
<td align="center" valign="top">2.15&#x202F;&#x00B1;&#x202F;0.12a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are mean&#x202F;&#x00B1;&#x202F;standard deviation, different lowercase letters indicate statistically significant data between groups (<italic>P</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec20">
<label>3.5</label>
<title>Antioxidant enzyme activity</title>
<p>The application of CLS and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the activity of antioxidant enzymes in <italic>P. quinquefolius</italic> (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Compared to that of CK, CLS and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased the activity of APX enzymes in <italic>P. quinquefolius</italic> by 151.79 and 115.41%, respectively. Moreover, the use of CLS and LKWS significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) increased POD activity in <italic>P. quinquefolius</italic> by 36.78 and 102.93%, respectively, compared to that of CK.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Effects of osthole and <italic>Bacillus amyloliquefaciens</italic> against oxidase activity. Effect of Osthole and Bacillus on <bold>(A)</bold> APX and <bold>(B)</bold> POD enzymes. Different lowercase letters indicate significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fmicb-15-1497987-g002.tif"/>
</fig>
</sec>
<sec id="sec21">
<label>3.6</label>
<title>Microbiome analysis of aboveground parts and the roots of <italic>Panax quinquefolius</italic></title>
<p>Shannon&#x2019;s index was used to assess microbial diversity of the aboveground and root parts of <italic>P. quinquefolius</italic> under the different treatment conditions (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Compared with that of CK, CLS increased the bacterial diversity in aboveground and root parts of <italic>P. quinquefolius</italic> by 52.29 and 29.11%, respectively, and LKWS increased these by 61.25 and 19.92%, respectively. Compared with that of CK, CLS significantly decreased fungal diversity in the aboveground and root parts of <italic>P. quinquefolius</italic> by 25.07 and 40.34%, respectively, and LKWS significantly decreased these by 32.70 and 28.04%, respectively.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Shannon diversity index of the bacterial community structure of the <bold>(A)</bold> aboveground and <bold>(B)</bold> root of American ginseng and Shannon diversity index of the fungal community structure of the <bold>(C)</bold> aboveground and <bold>(D)</bold> root of American ginseng. Different lowercase letters indicate significant difference (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fmicb-15-1497987-g003.tif"/>
</fig>
<p>Symbiotic networks of bacterial and fungal communities varied among the different parts of <italic>P. quinquefolius</italic> and among treatments (<xref ref-type="fig" rid="fig4">Figure 4</xref>, <xref ref-type="table" rid="tab5">Tables 5</xref>, <xref ref-type="table" rid="tab6">6</xref>). With the exception of the CLS treatment, the structure of the bacterial network in the roots of <italic>P. quinquefolius</italic> was typically more complex than that in the aboveground parts, based on the number of edges and nodes, as well as the average extent. Among all the bacterial networks, that of the CLS treatment was the simplest in the roots of <italic>P. quinquefolius</italic> (nodes: 352; edges: 10721: average degree: 60.915). In the aboveground parts and roots of <italic>P. quinquefolius</italic>, both CLS and LKWS treatments had higher positive and lower negative correlations than those of CK.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Network analysis under different treatments of American ginseng. The size of the nodes in the figure indicates the abundance of the species, different colors indicate different species; the color of the line indicates positive and negative correlation, red indicates positive correlation, green indicates negative correlation; the thickness of the line indicates the size of the correlation coefficient, the thicker the line, the higher the correlation between species; the more lines, the closer the connection between the species and other species.</p>
</caption>
<graphic xlink:href="fmicb-15-1497987-g004.tif"/>
</fig>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Key topological characteristics of bacterial networks in ground and roots of American ginseng.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Aboveground</th>
<th align="center" valign="top" colspan="3">Root</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">CLS</th>
<th align="center" valign="top">LKWS</th>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">CLS</th>
<th align="center" valign="top">LKWS</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Nodes</td>
<td align="center" valign="middle">431</td>
<td align="center" valign="middle">490</td>
<td align="center" valign="middle">392</td>
<td align="center" valign="middle">437</td>
<td align="center" valign="middle">352</td>
<td align="center" valign="middle">461</td>
</tr>
<tr>
<td align="left" valign="middle">Edges</td>
<td align="center" valign="middle">15,826</td>
<td align="center" valign="middle">23,242</td>
<td align="center" valign="middle">14,778</td>
<td align="center" valign="middle">16,051</td>
<td align="center" valign="middle">10,721</td>
<td align="center" valign="middle">19,010</td>
</tr>
<tr>
<td align="left" valign="middle">Positive edges ratio (%)</td>
<td align="center" valign="middle">67.01</td>
<td align="center" valign="middle">79.56</td>
<td align="center" valign="middle">84.4</td>
<td align="center" valign="middle">66.82</td>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">78.04</td>
</tr>
<tr>
<td align="left" valign="middle">Negative edges ratio (%)</td>
<td align="center" valign="middle">22.99</td>
<td align="center" valign="middle">20.44</td>
<td align="center" valign="middle">15.6</td>
<td align="center" valign="middle">33.18</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">21.96</td>
</tr>
<tr>
<td align="left" valign="middle">Average degree</td>
<td align="center" valign="middle">73.439</td>
<td align="center" valign="middle">94.865</td>
<td align="center" valign="middle">75.398</td>
<td align="center" valign="middle">73.460</td>
<td align="center" valign="middle">60.915</td>
<td align="center" valign="middle">82.473</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Key topological characteristics of fungal networks in ground and roots of American ginseng.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Aboveground</th>
<th align="center" valign="top" colspan="3">Root</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">CLS</th>
<th align="center" valign="top">LKWS</th>
<th align="center" valign="top">CK</th>
<th align="center" valign="top">CLS</th>
<th align="center" valign="top">LKWS</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Nodes</td>
<td align="center" valign="middle">500</td>
<td align="center" valign="middle">499</td>
<td align="center" valign="middle">500</td>
<td align="center" valign="middle">147</td>
<td align="center" valign="middle">85</td>
<td align="center" valign="middle">92</td>
</tr>
<tr>
<td align="left" valign="middle">Edges</td>
<td align="center" valign="middle">25,204</td>
<td align="center" valign="middle">22,046</td>
<td align="center" valign="middle">24,386</td>
<td align="center" valign="middle">1993</td>
<td align="center" valign="middle">934</td>
<td align="center" valign="middle">736</td>
</tr>
<tr>
<td align="left" valign="middle">Positive edges ratio (%)</td>
<td align="center" valign="middle">59.90</td>
<td align="center" valign="middle">70.82</td>
<td align="center" valign="middle">80.73</td>
<td align="center" valign="middle">90.22</td>
<td align="center" valign="middle">95.5</td>
<td align="center" valign="middle">89.95</td>
</tr>
<tr>
<td align="left" valign="middle">Negative edges ratio (%)</td>
<td align="center" valign="middle">40.10</td>
<td align="center" valign="middle">29.18</td>
<td align="center" valign="middle">19.27</td>
<td align="center" valign="middle">9.78</td>
<td align="center" valign="middle">4.5</td>
<td align="center" valign="middle">10.05</td>
</tr>
<tr>
<td align="left" valign="middle">Average degree</td>
<td align="center" valign="middle">100.816</td>
<td align="center" valign="middle">88.361</td>
<td align="center" valign="middle">97.544</td>
<td align="center" valign="middle">27.116</td>
<td align="center" valign="middle">21.976</td>
<td align="center" valign="middle">16</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The structure of fungal networks in the aboveground parts of <italic>P. quinquefolius</italic> was generally more complex than that in the roots, based on the number of edges and nodes, as well as the average degree when compared to the bacterial networks (<xref ref-type="fig" rid="fig4">Figure 4</xref>, <xref ref-type="table" rid="tab5">Tables 5</xref>, <xref ref-type="table" rid="tab6">6</xref>). Nodes, edges, and the average extent of fungal networks were lower in the aboveground parts and roots in the CLS treatment than in the CK. Edges and the average extent of fungal networks were lower in aboveground parts and roots of <italic>P. quinquefolius</italic> in LKWS treatments compared to those of CK, but no differences were observed in the nodes of the aboveground parts.</p>
<p>Microorganisms of the aboveground parts and roots of <italic>P. quinquefolius</italic> were observed and constructed using bacterial and fungal genera with relative abundances greater than 1%, respectively, to assess the relationship between microorganisms in different parts of <italic>P. quinquefolius</italic> and under different treatments (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The relationship between bacteria and different treatments in the aboveground parts of <italic>P. quinquefolius</italic> is shown in <xref ref-type="fig" rid="fig5">Figure 5A</xref>. <italic>Pseudomonas</italic> (40.94%) and <italic>Bordetella</italic> (25.87%) were the main bacterial genera present in the CK treatment in the aboveground parts of <italic>P. quinquefolius</italic>. Similarly, the main bacterial genera in the aboveground parts of <italic>P. quinquefolius</italic> in the CLS treatment were <italic>Pseudomonas</italic> (36.99%) and <italic>Bordetella</italic> (22.48%), whereas those in the LKWS treatment were <italic>Bacillus</italic> (18.11%), <italic>Nocardioides</italic> (12.97%), and <italic>Pseudomonas</italic> (12.31%). The relationship between the bacteria in the roots of ginseng and the different treatments is shown in <xref ref-type="fig" rid="fig5">Figure 5B</xref>. <italic>Pseudomonas</italic> (27.65%), Var<italic>iovorax</italic> (14.44%), and <italic>Bordetella</italic> (12.30%) were the dominant bacterial genera in the CK treatment in the roots of <italic>P. quinquefolius</italic>. The dominant bacterial genera in the CLS treatment in the roots of <italic>P. quinquefolius</italic> were <italic>Variovorax</italic> (17.91%), <italic>Pseudomonas</italic> (12.56%) and <italic>Tardiphaga</italic> (11.20%), whereas those in the LKWS treatment were <italic>Pseudomonas</italic> (33.79%) and <italic>Bordetella</italic> (16.52%). The relationship between fungi in the aboveground parts of <italic>P. quinquefolius</italic> and the different treatments is shown in <xref ref-type="fig" rid="fig5">Figure 5C</xref>. The main fungal genera present in aboveground parts of <italic>P. quinquefolius</italic> in the CK treatment were <italic>Devriesia</italic> (23.12%) and <italic>Capnodiales</italic> (13.65%). The main fungal genera in aboveground parts of <italic>P. quinquefolius</italic> in the CLS treatment were <italic>Vishniacozyma</italic> (31.82%) and <italic>Sporidiobolaceae</italic> (15.53%), whereas those of the LKWS treatment were <italic>Vishniacozyma</italic> (19.23%) and <italic>Bullera</italic> (17.64%). The relationship between fungi in the roots of <italic>P. quinquefolius</italic> and the different treatments is shown in <xref ref-type="fig" rid="fig5">Figure 5D</xref>. The main fungal genera in the roots of <italic>P. quinquefolius</italic> in the CK treatment were <italic>Cadophora</italic> (33.42%) and <italic>Cistella</italic> (11.21%). The main fungal genera in the roots of <italic>P. quinquefolius</italic> in the CLS treatment were <italic>Cadophora</italic> (46.57%), <italic>Ilyonectria</italic> (25.85%), and <italic>Fusidium</italic> (11.18%), whereas those of the LKWS were <italic>Cadophora</italic> (36.18%), <italic>Alatospora</italic> (30.44%), and <italic>Fusidium</italic> (12.96%).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Microbial composition and difference analysis of aerial parts and roots of American ginseng. Relative abundance at the bacterial level of aerial parts <bold>(A)</bold> and root <bold>(B)</bold>; relative abundance of aerial parts <bold>(C)</bold> and root <bold>(D)</bold>. The abscissa is the treatment, the ordinate is the proportion of the genus in the sample, the columns of different colors represent different species, and the length of the pillars represents the size of the proportion of the species. One-way analysis of variance (ANOVA) was used to test differences between the bacterial levels of the ground <bold>(E)</bold> and root <bold>(F)</bold> and the ground <bold>(G)</bold> and root <bold>(H)</bold>. The y-axis represents species names at the genus level, the x-axis represents the mean relative abundance of different species groups, and columns of different colors represent different groups. On the far right is the value of <italic>p</italic>, &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 &#x002A; &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 &#x002A; &#x002A; &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</caption>
<graphic xlink:href="fmicb-15-1497987-g005.tif"/>
</fig>
<p>Microorganisms in American ginseng differed significantly among the different treatments. In the aboveground parts of <italic>P. quinquefolius</italic>, the bacterial genera, <italic>Pseudomonas</italic> and <italic>Bordetella</italic>, were significantly higher in the CK treatment than in the CLS and LKWS treatments (<xref ref-type="fig" rid="fig5">Figure 5E</xref>). In the roots of American ginseng, the bacterial genus, <italic>Prevotella</italic>, was significantly higher in the CK treatment than in the CLS and LKWS treatments, and the bacterial genera, <italic>Alphaproteobacteria</italic> and <italic>Uliginosibacterium</italic>, significantly more abundant in the CLS treatment than in the other treatments (<xref ref-type="fig" rid="fig5">Figure 5F</xref>). In the aboveground portion of <italic>C. occidentalis</italic>, the fungal genera, <italic>Devriesia</italic> and <italic>Capnodiales</italic>, were significantly more abundant in the CK treatment than in the other treatments (<xref ref-type="fig" rid="fig5">Figure 5G</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec22">
<label>4</label>
<title>Discussion</title>
<p>The present study showed that the use of osthole and <italic>B. amyloliquefaciens</italic> significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) improved the growth of <italic>P. quinquefolius</italic> in a forest (<xref ref-type="table" rid="tab2">Table 2</xref>), where their application significantly increased the plant height, stem thickness, root dry weight, and root thickness. The improvement of these growth indicators not only reflects the growth status of the plant, but also closely related to the physiological and ecological adaptations of the plant, which can directly affect the growth, development and yield of the plant. Studies have shown that plant height and stem thickness are important reflections of the competitive ability of plants, and higher plant height helps to obtain more light, thus promoting photosynthesis (<xref ref-type="bibr" rid="ref50">Rebitanim et al., 2020</xref>). Root dry weight and root thickness are related to the water and nutrient uptake capacity of plants, and the enhancement of root development can improve the adaptability of plants to adverse environments (<xref ref-type="bibr" rid="ref48">Comas et al., 2013</xref>). Our results are in line with those of previous studies on the promotion of coumarin production in faba beans (<xref ref-type="bibr" rid="ref52">Saleh et al., 2015</xref>) and the growth promotion of <italic>Arabidopsis thaliana</italic> by <italic>B. amyloliquefaciens</italic> (<xref ref-type="bibr" rid="ref36">Lu et al., 2021</xref>). The growth-promoting effect of osthole, a derivative of coumarin, on <italic>Codonopsis</italic> may affect plant growth by interfering with phytohormone metabolism (<xref ref-type="bibr" rid="ref12">Cheynier et al., 2013</xref>). Plant growth can be affected by <italic>B. amyloliquefaciens</italic> via the secretion of IAA (<xref ref-type="bibr" rid="ref27">Ji et al., 2021</xref>), which promotes nitrogen fixation by plant roots (<xref ref-type="bibr" rid="ref1">Abdallah et al., 2018</xref>), solubilizes phosphates (<xref ref-type="bibr" rid="ref59">Vinci et al., 2018</xref>) and (<xref ref-type="bibr" rid="ref28">Jiang et al., 2015</xref>), generates iron carriers (<xref ref-type="bibr" rid="ref15">Dimopoulou et al., 2021</xref>), among others, to promote plant growth. Together, these mechanisms of action promoted the growth of <italic>Panax quinquefolius</italic>, further validating the importance of growth indicators in assessing plant growth status and production potential.</p>
<p>Chlorophylls are the most abundant pigments in the photosynthetic system of land plants and algae and are indispensable for the absorption of light energy and transfer of electrons in photosynthesis (<xref ref-type="bibr" rid="ref49">Hu et al., 2021</xref>). Carotenoids are necessary for leaf photosynthesis and photoprotection (<xref ref-type="bibr" rid="ref51">Rodriguez-Concepcion and Dar&#x00F2;s, 2022</xref>). In our study, the use of osthole and <italic>Bacillus amyloliquefaciens</italic> significantly increased chlorophyll and carotenoid content (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Photosynthesis plays a crucial role in the synthesis and accumulation of organic matter, plant growth, nutrient uptake, and responses to abiotic and biotic stress (<xref ref-type="bibr" rid="ref9">Bunce, 2008</xref>). Our results showed that the use of osthole significantly increased the P<sub>n</sub> (<xref ref-type="table" rid="tab4">Table 4</xref>), which may be due to the fact that osthole significantly increased the chlorophyll content of American ginseng. Compared with those of CK, the use of <italic>B. amyloliquefaciens</italic> also significantly increased the P<sub>n</sub> and T<sub>r</sub>, which is similar to the results of a previous study on alfalfa seedlings (<xref ref-type="bibr" rid="ref22">Han et al., 2022</xref>). These results indicate the promising application of osthole and <italic>Bacillus amyloliquefaciens</italic> and its use in the optimization of photosynthesis efficiency. In the present study, the use of both osthole and <italic>B. amyloliquefaciens</italic> significantly reduced the G<sub>s</sub>, which may be due to the ability of the plant to avoid excessive water loss by closing stomata (<xref ref-type="bibr" rid="ref39">Novick et al., 2016</xref>). This further illustrates the potential of osthole and <italic>Bacillus amyloliquefaciens</italic> in water regulation.</p>
<p>Numerous studies have shown that antioxidant enzymes play a great role in alleviating the accumulation of reactive oxygen species (ROS) and reducing oxidative stress in plants (<xref ref-type="bibr" rid="ref22">Han et al., 2022</xref>). APX and POD are the main antioxidant enzymes that convert H<sub>2</sub>O<sub>2</sub> to H<sub>2</sub>O (<xref ref-type="bibr" rid="ref44">Ren Y. et al., 2020</xref>; <xref ref-type="bibr" rid="ref47">Rosa et al., 2010</xref>). The present study showed that the use of osthole and <italic>B. amyloliquefaciens</italic> significantly increased the activities of APX and POD in <italic>P. quinquefolius</italic>. This result suggests that they may be effective in enhancing the antioxidant defense system of <italic>Panax quinquefolius</italic>, thereby improving its tolerance to oxidative stress. Coumarin has the function of enhancing the antioxidant defense system (<xref ref-type="bibr" rid="ref63">Wu et al., 2009</xref>), and osthole, a naturally occurring coumarin, has the potential to inhibit the production of active oxidants (<xref ref-type="bibr" rid="ref58">Tsai et al., 2015</xref>), which may explain its ability to enhance the antioxidant enzyme activity of forest ginseng. The use of <italic>B. amyloliquefaciens</italic> has previously been shown to enhance APX and POD activities in tomatoes (<xref ref-type="bibr" rid="ref60">Wang et al., 2019</xref>), which is consistent with our results.</p>
<p>In addition, we investigated the effects of osthole and <italic>B. amyloliquefaciens</italic> on the <italic>P. quinquefolius</italic> microbiome. The structure of the plant microbiome is influenced by complex interactions among the host, microorganisms, and other relevant environmental factors (<xref ref-type="bibr" rid="ref14">Dastogeer et al., 2020</xref>). Our results showed that the use of osthole and <italic>B. amyloliquefaciens</italic> significantly increased the diversity of bacteria in the aboveground parts and roots of <italic>P. quinquefolius</italic>, while significantly decreasing the diversity of fungi (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The significant decrease in fungal diversity of <italic>P. quinquefolius</italic> may be due to its strong antifungal activity (<xref ref-type="bibr" rid="ref19">Guo et al., 2021</xref>). Previously, the use of <italic>B. amyloliquefaciens</italic> was shown to significantly increase ginseng bacterial diversity and decrease its fungal diversity (<xref ref-type="bibr" rid="ref57">Tian et al., 2018</xref>), which is consistent with the results of our study. Interactions with microorganisms can affect community stability (<xref ref-type="bibr" rid="ref13">Coyte et al., 2015</xref>). Our results showed that CLS was more complex than CK was in the bacterial network of the aboveground parts of sago ginseng; LKWS was more complex than CK was in the bacterial network of sago ginseng roots; and CK was more complex than CLS and LKWS were in the fungal network based on edges and nodes (<xref ref-type="fig" rid="fig4">Figure 4</xref>, <xref ref-type="table" rid="tab5">Tables 5</xref>, <xref ref-type="table" rid="tab6">6</xref>). This suggests that the use of osthole and <italic>B. amyloliquefaciens</italic> can increase the complexity of bacterial communities while decreasing the complexity and improving the stability of fungal communities. The complexity of microbial networks may be related to the alpha diversity (<xref ref-type="bibr" rid="ref16">Fan et al., 2018</xref>). Previous studies have shown that <italic>Pseudomonas</italic> and <italic>Bordetella</italic> are potential pathogens (<xref ref-type="bibr" rid="ref20">Hamidou Soumana et al., 2017</xref>; <xref ref-type="bibr" rid="ref9021">Fern&#x00E1;ndez et al., 2015</xref>), where our study showed that the use of CLS and LKWS significantly reduced their abundance when compared to that of CK (<xref ref-type="fig" rid="fig5">Figure 5E</xref>), which may also explain the reduction observed in disease incidence and severity in <italic>C. occidentalis</italic> after the use of osthole and deconjugated <italic>B. amyloliquefaciens</italic>. Previous studies have identified Var<italic>iovorax</italic> as a class of plant growth-promoting inter-root bacteria (<xref ref-type="bibr" rid="ref21">Han et al., 2011</xref>) that enhances host plant resilience and disease resistance (<xref ref-type="bibr" rid="ref5">Belimov et al., 2009</xref>; <xref ref-type="bibr" rid="ref6">Belimov et al., 2005</xref>). <italic>Tardiphaga</italic> plays an important role in the N cycle (<xref ref-type="bibr" rid="ref3">Alves et al., 2014</xref>). Our results suggest that <italic>Variovorax</italic> and <italic>Tardiphaga</italic> are the main bacterial genera of CLS in the roots of <italic>P. quinquefolius</italic> (<xref ref-type="fig" rid="fig5">Figure 5B</xref>), which may explain why the use of osthole promotes the growth of <italic>P. quinquefolius</italic> while enhancing stress and disease resistance. Previous studies have shown the potential growth-promoting effects of <italic>Alphaproteobacteria</italic> (<xref ref-type="bibr" rid="ref42">Pini et al., 2011</xref>), and that <italic>Uliginosibacterium</italic> contributes to biofilm formation (<xref ref-type="bibr" rid="ref29">Jiao et al., 2021</xref>). The bacterial genera, <italic>Alphaproteobacteria</italic> and <italic>Uliginosibacterium</italic>, were significantly higher in CLS than in other treatments tested in our study (<xref ref-type="fig" rid="fig5">Figure 5F</xref>). Some potential pathogenic bacteria, such as <italic>Devriesia</italic> and <italic>Capnodiales</italic>, were significantly lower than those in CK after both CLS and LKWS treatments (<xref ref-type="bibr" rid="ref2">Abdollahzadeh et al., 2020</xref>; <xref ref-type="bibr" rid="ref33">Li et al., 2013</xref>) (<xref ref-type="fig" rid="fig5">Figure 5G</xref>). The relative abundance of some potential plant growth-promoting microorganisms, such as <italic>Vishniacozyma</italic>, <italic>Cadophora</italic>, and <italic>Alatospora</italic>, was higher than that of CK in the CLS and LKWS treatments (<xref ref-type="fig" rid="fig5">Figures 5C</xref>,<xref ref-type="fig" rid="fig5">D</xref>) (<xref ref-type="bibr" rid="ref4">Artigas et al., 2017</xref>; <xref ref-type="bibr" rid="ref7">Bizabani and Dames, 2015</xref>; <xref ref-type="bibr" rid="ref37">Lutz et al., 2020</xref>). Therefore, we hypothesized that the application of osthole and <italic>B. amyloliquefaciens</italic> may recruit plant growth-promoting microorganisms by stimulating <italic>C. occidentalis</italic> and providing more nutrients for plant growth while inhibiting the invasion and proliferation of potential pathogens (<xref ref-type="bibr" rid="ref62">Wang et al., 2022</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec23">
<label>5</label>
<title>Conclusion</title>
<p>In this study, the application of osthole and <italic>B. amyloliquefaciens</italic> to understory ginseng revealed that their use improved the growth of understory American ginseng by enhancing photosynthetic capacity, stimulating the activity of antioxidant enzymes to increase the tolerance of <italic>P. quinquefolius</italic>, and promoting the accumulation of plant biomass. In addition, the use of osthole and <italic>B. amyloliquefaciens</italic> altered the structure of the microbial community of <italic>P. quinquefolius</italic>, significantly increased the diversity of <italic>P. quinquefolius</italic> bacteria, significantly decreased the diversity of <italic>P. quinquefolius</italic> fungi, and stimulated the recruitment of more growth-promoting microorganisms into the American ginseng to build a more stable microbial network, which resulted in a significant decrease in the incidence of <italic>P. quinquefolius</italic> anthracnose and the index of the disease. Therefore, based on the above results, it was shown that the use of osthole is an effective way to improve the growth of <italic>P. quinquefolius</italic> in the forest and, at the same time, provides a theoretical basis for its effective application in agriculture. In order to further deepen the research and promote the agricultural dissemination of osthole, future work could focus on (1) analyzing in depth the specific mechanisms by which osthole affects the microbial community of American ginseng and further verifying the relationship between these community changes and disease resistance; (2) evaluating the potential for the application of osthole in other cash crops, especially in terms of reduction of chemical pesticides and enhancement of crop resistance to disease, in order to explore its broader applicability.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec24">
<title>Data availability statement</title>
<p>The data presented in the study are deposited in the NCBI repository, accession number PRJNA1189344.</p>
</sec>
<sec sec-type="author-contributions" id="sec25">
<title>Author contributions</title>
<p>JJ: Writing &#x2013; original draft. GF: Writing &#x2013; original draft. RW: Writing &#x2013; review &#x0026; editing. TL: Writing &#x2013; review &#x0026; editing. SH: Writing &#x2013; review &#x0026; editing. SY: Writing &#x2013; review &#x0026; editing. SZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec26">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Yunnan Province Agricultural Joint Special Key Project (No. 202401BD070001-014), and the Yunnan Provincial Association for Science and Technology project of the Farmer Academician Science and Technology Service Station in Xundian County.</p>
</sec>
<ack>
<p>The authors thank all participants involved in this research project. The authors would like to thank Yirong QI (College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China) for checking the pictures. The authors would also like to thank Editage (<ext-link xlink:href="http://www.editage.com" ext-link-type="uri">www.editage.com</ext-link>) for English language editing.</p>
</ack>
<sec sec-type="COI-statement" id="sec27">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec28">
<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>
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