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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1610287</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Identification and genome insights into <italic>Pyrenochaeta nobilis</italic>, a novel endophytic fungus isolated from <italic>Astragalus membranaceus</italic> with gray mold-control activity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Fan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2640904/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Shuang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Xifeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Du</surname>
<given-names>Hongrui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3194414/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Yuanyuan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Chunlai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biological Control, Plant Protection Institute of Heilongjiang Academy of Agricultural Sciences</institution>, <addr-line>Harbin, Heilongjiang</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biological Observation, Harbin Crop Pest Scientific Observing and Experimental Station of the Ministry of Agriculture</institution>, <addr-line>Harbin, Heilongjiang</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Plant Conservation, Heilongjiang BaYi Agricultural University</institution>, <addr-line>Daqing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/502863/overview">Islam S. Sobhy</ext-link>, Cardiff University, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1409791/overview">Guoxing Wu</ext-link>, Yunnan Agricultural University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2376176/overview">Daisuke Hira</ext-link>, Sojo University, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chunlai Liu, <email xlink:href="mailto:liuchunlai@163.com">liuchunlai@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1610287</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Yang, Wang, Jiang, Du, Liu, Zhou and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Wang, Jiang, Du, Liu, Zhou and Liu</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>Gray mold, caused by the necrotrophic fungus <italic>Botrytis cinerea</italic>, is a significant threat to agricultural production, especially under low temperature and high humidity conditions. This disease can cause substantial yield losses in various crops, including tomatoes. To address this issue, the search for novel biocontrol agents has become a priority. In this study, we explored the potential of endophytic fungi isolated from wild medicinal plants in the southern foothills of the Daxing&#x2019;an Mountains in China as biocontrol resources against <italic>B. cinerea</italic>.</p>
</sec>
<sec>
<title>Methods</title>
<p>Endophytic fungi were isolated from the roots of <italic>Astragalus membranaceus</italic>, a wild medicinal plant native to the study area. Among the isolates, <italic>Pyrenochaeta nobilis</italic> strain SFJ12-R-5 (CGMCC No.17766) was selected for its significant antagonistic activity against <italic>B. cinerea</italic>. The inhibitory effects of <italic>P. nobilis</italic> on <italic>B. cinerea</italic> were evaluated through in vitro assays, including mycelial growth inhibition tests and lesion inhibition tests on tomato leaves and fruits. Additionally, the genome of <italic>P. nobilis</italic> SFJ12-R-5 was sequenced using a combination of next-generation and third-generation sequencing techniques, followed by systematic annotation and identification of key gene families, such as carbohydrate-active enzymes (CAZymes) and phage-related (Phi) genes.</p>
</sec>
<sec>
<title>Results</title>
<p>
<italic>P. nobilis</italic> strain SFJ12-R-5 exhibited strong inhibitory effects on <italic>B. cinerea</italic>, with a mycelial growth inhibition rate of 66.67 &#xb1; 3.15% and a large inhibition zone of 20.83 &#xb1; 3.78 mm. The fresh fermentation filtrate of <italic>P. nobilis</italic>, even at a 10-fold dilution, completely inhibited the growth of pathogenic hyphae. In vitro tests on tomato leaves and fruits showed lesion inhibition rates of 87.21% and 100%, respectively. Furthermore, plants co-treated with <italic>B. cinerea</italic> and the <italic>P. nobilis</italic> filtrate had a significantly lower gray mold disease severity (28.57%) compared to those inoculated solely with <italic>B. cinerea</italic> (75.34%), indicating a disease reduction rate of 62.08%. The genome of <italic>P. nobilis</italic> SFJ12-R-5 was successfully assembled and annotated, revealing the presence of CAZymes and Phi genes that may contribute to its biocontrol potential.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our findings provide the first evidence that <italic>P. nobilis</italic> could serve as a promising natural antagonist against <italic>B. cinerea</italic>, particularly in integrated disease management systems for tomato production in greenhouses. The high-quality genome sequence and the identification of key gene families lay a solid foundation for future research on the molecular mechanisms underlying the inhibitory activity of Pyrenochaeta spp. against <italic>B. cinerea</italic>. Further studies are needed to explore the practical application of <italic>P. nobilis</italic> in agricultural settings and to elucidate its mode of action at the molecular level.</p>
</sec>
</abstract>
<kwd-group>
<kwd>biocontrol agent</kwd>
<kwd>
<italic>Botrytis cinerea</italic>
</kwd>
<kwd>fungal endophyte</kwd>
<kwd>inhibitory effect</kwd>
<kwd>genome assembly</kwd>
<kwd>
<italic>Pyrenochaeta nobilis</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="87"/>
<page-count count="14"/>
<word-count count="6188"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Pathogen Interactions</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Necrotrophic fungus are pathogenic microorganisms that kill host cells to feed on the dead tissues by secreting toxins or degrading enzymes. The necrotrophic fungus <italic>Botrytis cinerea</italic>, which is a type of fungal pathogen that can first cause the death of host plant cells and then feed on the dead tissues, causes gray mold disease in tomatoes. Currently, it has infected a great variety of important plant species globally, including vegetables (<xref ref-type="bibr" rid="B3">Alkilayh et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B1">Abbasi et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B56">Motallebi, 2025</xref>), fruits (<xref ref-type="bibr" rid="B15">Dai et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B40">Lagr&#xe8;ze et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B51">Liang et&#xa0;al., 2025</xref>), and flowers (<xref ref-type="bibr" rid="B28">Ha et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B29">Hamedan et&#xa0;al., 2025</xref>) planted in glasshouses. Gray mold is a devastating disease in many tomato-growing regions, leading to significant economic losses and reduced production (<xref ref-type="bibr" rid="B9">Borges et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B10">Boukaew et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Ahmadu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B49">Li et&#xa0;al., 2023b</xref>). Pathogen infection can occur during harvesting, handling, storage and even after consumer purchase (<xref ref-type="bibr" rid="B60">Romanazzi et&#xa0;al., 2016</xref>). Severe infections result in extensive defoliation, flower drop reduced fruit quality and stem cankers, ultimately leading to plant death (<xref ref-type="bibr" rid="B19">Dik et&#xa0;al., 1999</xref>). In extreme cases, gray mold can reduce farm yields by 40&#x2013;50% or even cause complete crop failure (<xref ref-type="bibr" rid="B72">Thole et&#xa0;al., 2020</xref>).</p>
<p>
<italic>B. cinerea</italic> is a highly adaptable pathogen, characterized by abundant spore production, rapid genetic variation, a short life cycle, and strong transmission ability. It has also developed significant resistance to multiple fungicides (<xref ref-type="bibr" rid="B82">Xue et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B27">Ge et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B50">Lian et&#xa0;al., 2017</xref>). Currently, resistant tomato cultivars are limited and often exhibited undesirable horticultural traits (<xref ref-type="bibr" rid="B6">Bestfleisch et&#xa0;al., 2015</xref>). To date, gray mold control has relied heavily on chemical fungicides due to the lack of resistant germplasm and commercial varieties (<xref ref-type="bibr" rid="B63">Sarven et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B77">Wang et&#xa0;al., 2020b</xref>). However, fungicide resistance in <italic>B. cinerea</italic> is rapidly increasing to overuse, diminishing the effectiveness of conventional chemical control strategies (<xref ref-type="bibr" rid="B52">Liu et&#xa0;al., 2016</xref>). Moreover, extensive fungicides application contributes to environmental pollution, human health hazards, and further resistance evolution in pathogens. Therefore, there is an urgent need for eco-friendly and sustainable disease management strategies, including the use of microbial biocontrol and their metabolites (<xref ref-type="bibr" rid="B8">Bol&#xed;var-Anillo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Hassan et&#xa0;al., 2021</xref>).</p>
<p>The International Biocontrol Manufacturers Association (IBMA) defines biocontrol agents naturally derived products that suppress crop pests or pathogens by inhibiting their growth or reproduction. These agents include macroorganisms, microorganisms, chemical mediators, and natural substances (<xref ref-type="bibr" rid="B41">Lecomte et&#xa0;al., 2016</xref>). Among them, bacteria and fungi are shown great potential as biocontrol agents, with an increasing number of antagonistic strains been utilized to enhance plant growth and disease resistance (<xref ref-type="bibr" rid="B36">K&#xf6;hl et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B59">Rojas et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Li et&#xa0;al., 2023a</xref>; <xref ref-type="bibr" rid="B24">Feng et&#xa0;al., 2024</xref>).</p>
<p>Compared with biocontrol bacteria, biocontrol fungi exhibit distinct advantages in biological control: they possess a broader host range, exert inhibitory effects through the synergistic action of multiple biocontrol mechanisms, and demonstrate stronger environmental resilience (<xref ref-type="bibr" rid="B68">Song et&#xa0;al., 2025</xref>). Fungal endophytes are naturally occurring symbiotic microorganisms that colonize plant tissues without causing visible damage (<xref ref-type="bibr" rid="B8">Bol&#xed;var-Anillo et&#xa0;al., 2019</xref>). These microorganisms can enhance plant defenses against insects and disease while also improving tolerance to environmental stresses through the production of bioactive metabolites. Medicinal plants are rich source of biologically active compounds, some of which may be derived from their endophytic fungi (<xref ref-type="bibr" rid="B39">Kumar and Kaushik, 2013</xref>; <xref ref-type="bibr" rid="B4">Alvin et&#xa0;al., 2014</xref>). However, the full potential of these fungi remains largely unexplored (<xref ref-type="bibr" rid="B17">Deshmukh et&#xa0;al., 2014</xref>).</p>
<p>The construction of high-quality genomes serves as the foundation for studying species functional mechanisms. Although short-read sequencing currently boasts high single-base accuracy, its short read length results in poor assembly contiguity. In contrast, while long-read sequencing alone can achieve better assembly contiguity, the lower single-base accuracy of its sequencing data leads to frequent single-base errors in the assembly results (<xref ref-type="bibr" rid="B78">Warburton and Sebra, 2023</xref>; <xref ref-type="bibr" rid="B45">Li and Durbin, 2024</xref>). Currently, numerous genomics studies have integrated these two types of data to leverage their respective strengths, high accuracy from short reads and excellent contiguity from long-read sequencing, thereby ensuring the generation of high-quality genome assemblies suitable for subsequent functional analyses (<xref ref-type="bibr" rid="B65">Shi et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B85">Yu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B87">Zhu et&#xa0;al., 2025</xref>).</p>
<p>In this study, we hypothesize that new species with inhibitory activity against <italic>B. cinerea</italic> can be screened from the habitats of certain medicinal plants; more specifically, we propose that natural endophytes with high inhibitory activity against the gray mold pathogen <italic>B. cinerea</italic> exist in such environments. Medicinal plants such as <italic>Astragalus membranaceus</italic> can biosynthesize bioactive compounds including flavonoids, isoflavonoids, and triterpenoid saponins (<xref ref-type="bibr" rid="B46">Li et&#xa0;al., 2024</xref>). These substances may act as &#x201c;intermediate mediators&#x201d; to recruit growth-promoting microorganisms, thereby enhancing resistance against pathogens (<xref ref-type="bibr" rid="B86">Zhou et&#xa0;al., 2022</xref>). There are also previous reports indicating that several endophytic species have been successfully isolated and screened from the leaves of this plant (<xref ref-type="bibr" rid="B35">Kim et&#xa0;al., 2017</xref>). Guided by this hypothesis, we conducted a screening experiment using <italic>A. membranaceus</italic>, a widely studied medicinal plant, as the target host. Ultimately, we successfully isolated a novel biocontrol fungal endophyte, <italic>Pyrenochaeta nobilis</italic>, which exhibits strong inhibitory activity against <italic>B. cinerea</italic>. Through co-culture assays, we confirmed its antagonistic effect on <italic>B. cinerea</italic> and comprehensively evaluated its protective efficacy on tomato leaves, fruits, and whole plants. Furthermore, using second- and third-generation sequencing technologies, a high-quality genome was constructed and the phylogenetic relationships of this species was analyzed.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Isolation of fungal endophytes</title>
<p>Plant tissues were surface-sterilized using the procedure described by <xref ref-type="bibr" rid="B23">Eze et&#xa0;al. (2019)</xref> with minor modifications (<xref ref-type="bibr" rid="B23">Eze et&#xa0;al., 2019</xref>). The root, stem, leaf and flower segments were rinsed under running tap water. After air-drying, the cleaned stems and roots were cut into small pieces, and then all the tissues were surface sterilized by immersion in 70% ethanol (Merda, Beijing, China) for 1 min, followed by 2% sodium hypochlorite solution (Merda, Beijing, China) for 2 mins, and subsequent washing three times in sterile distilled water. The surface-sterilized samples were cut into smaller pieces using a sterile blade and placed on sterile potato dextrose agar (PDA) (Franklin Lakes, NJ, USA) at 25&#xb0;C. The hyphal tips of endophytic fungi growing out from the plant tissues were transferred to PDA plates supplemented with streptomycin (400 &#x3bc;g/mL) to inhibit bacterial growth until mycelia or colonies appeared around the segments. The efficiency of the surface sterilization procedure was checked for each sterilized plant segment using the imprint method. Additionally, to detect the presence of surface associated fungi, non-surface-sterilized plant samples were cultured under the same conditions as negative controls. All isolated endophytic fungi were screened for antagonistic strains using the plate confrontation method (<xref ref-type="bibr" rid="B48">Li et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s2_2">
<title>Isolates and cultural conditions</title>
<p>The endophytic fungi <italic>P. nobilis</italic> SFJ-12-R-5 (NCBI accession: MT568589) was isolated from the root of <italic>Astragalus membranaceus</italic> in Xinsheng Village, Sanchahe Town, Arong Banner, Hulunbuir City, Inner Mongolia Autonomous Region, located in the eastern region of the Greater Hinggan Mountains of China (122&#xb0;2&#x2032;30&#x2033;-124&#xb0;5&#x2032;40&#x2033;E, 47&#xb0;56&#x2032;54&#x2033;-49&#xb0;19&#x2032;35&#x2033;N). The strain was preserved in the China General Microbiological Culture Collection Center (CGMCC No.17766).</p>
<p>The SFJ-12-R-5 isolate was used as an antagonistic strain. The first-generation purified strain stored on a slant was activated on PDA at 25&#xb0;C in the dark for 14 days. The pathogen strain, <italic>Botrytis cinerea</italic>, was incubated on PDA at 23&#xb0;C with 70% relative humidity in a dark incubator (Bilon, Shanghai, China) for five days. To prepare the fermentation broth, SFJ-12-R-5 was cultured in a 500 mL Erlenmeyer flask containing 150 mL potato dextrose broth (PDB) with three 7 mm mycelial disks at 25&#xb0;C and 180 rpm on a rotary shaker (Bilon, Shanghai, China) for 14 days. The culture broth was then centrifuged at 8,000 rpm for 15 min to remove the mycelium, and the supernatant was collected. The supernatant was further filtered with a 0.22 &#xb5;m membrane filter (Millipore Sigma, USA) to obtain a sterile filtrate for subsequent use. 25% Pyrisoxazole emulsifiable concentrate (EC) (Guoguang, Chengdu, China) was used as the chemical control.</p>
</sec>
<sec id="s2_3">
<title>The inhibitory effect of <italic>P. nobilis</italic> SFJ-12-R-5</title>
<p>The dual-culture confrontation assay was used to evaluate the inhibitory effect of strain SFJ-12-R-5 against <italic>B. cinerea</italic>. A 7 mm diameter mycelial disk of SFJ-12-R-5 was placed on a fresh PDA plate, 1 cm from the edge of the petri dish, while a 7 mm mycelial disk of <italic>B. cinerea</italic> was placed on the opposite side. For the control group, only a single <italic>B. cinerea</italic> mycelial disk was placed on a PDA petri dish. All plates were incubated at 23&#xb0;C in the dark until the growth of <italic>B. cinerea</italic> reached the edge of the control petri dish. Each treatment was performed in triplicate. The inhibition of mycelial growth was calculated using the following formula:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext>IGM</mml:mtext>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">[</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mtext>d</mml:mtext>
<mml:mtext>c</mml:mtext>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mtext>d</mml:mtext>
<mml:mtext>t</mml:mtext>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mtext>d</mml:mtext>
<mml:mtext>c</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="true">]</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where IGM denotes the inhibition ratio of <italic>B. cinerea</italic> mycelia growth, while the <italic>d<sub>c</sub>
</italic> and <italic>d<sub>t</sub>
</italic> indicate the growth diameters of <italic>B. cinerea</italic> in the control and SFJ-12-R-5 treatment groups, respectively (<xref ref-type="bibr" rid="B57">Park et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s2_4">
<title>The effect of <italic>P. nobilis</italic> SFJ-12-R-5 filtrate against the mycelia growth of <italic>B. cinerea</italic>
</title>
<p>The Oxford cup assay was used to evaluate the inhibitory effect of SFJ-12-R-5 culture filtrate on <italic>B. cinerea</italic> mycelial growth. A 100 &#x3bc;L spore solution of <italic>B. cinerea</italic> was evenly spread onto a PDA petri dish, and three Oxford cups were placed equidistantly on the plate. After approximately 3 hours of incubation, 250 &#x3bc;L of SFJ-12-R-5 culture filtrate was added to each cup. For the control group, only the 100 &#x3bc;L <italic>B. cinerea</italic> spore solution was spread onto the PDA plate without filtrate treatment. All plates were then incubated at 23 &#xb0;C in the dark until the growth of <italic>B. cinerea</italic> reached the edge of the petri dish. Each treatment was performed in triplicate, and the diameters of the inhibition zones were measured.</p>
<p>A second filtrate dilution assay was conducted to evaluate the effect of different filtrate concentrations. Various volumes of SFJ-12-R-5 filtrate were mixed with PDA medium to create plates containing serial dilutions (1:10, 1:50, 1:100, 1:500, and 1:1000). Sterile PDB mixed with PDA medium served as the control. A 7 mm mycelial disk of <italic>B. cinerea</italic> was placed in the center of each petri dish, and all plates were incubated at 23&#xb0;C in the dark until the growth of <italic>B. cinerea</italic> reached the edge of the control petri dish. Each treatment was conducted in triplicate, and the inhibition ratio of <italic>B.&#xa0;cinerea</italic> mycelia growth was calculated (<xref ref-type="bibr" rid="B57">Park et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s2_5">
<title>The biocontrol efficacy of SFJ-12-R-5 filtrate against <italic>B. cinerea</italic> on detached cherry tomato leaves</title>
<p>Healthy cherry tomato leaves were disinfected by soaking in a 1% NaCl solution for 2 minutes, followed by thorough rinsing with sterilized water. After air-drying, ten leaves were wrapped at the petiole with moistened sterile cotton and placed on moistened sterile filter paper in a germination box. A 5 mm mycelial disk of <italic>B. cinerea</italic> was inoculated onto each leaf, and 10 mL of SFJ-12-R-5 culture filtrate was sprayed per box. For the pathogen control, PDB medium was used instead of SFJ-12-R-5 filtrate. 10 mL of 120 &#x3bc;g/mL 25% pyrisoxazole EC was sprayed in the chemical control box. For the blank control, leaves not inoculated with <italic>B. cinerea</italic> were sprayed only with sterile water. All boxes were cultured at 23&#xb0;Cunder a 12-hour light/12-hour dark (L:D=12:12) cycle. Six days post-incubation, lesion diameters were measured. Each treatment was performed in triplicate, with ten leaves per replicate, and the experiment was repeated three times.</p>
</sec>
<sec id="s2_6">
<title>The biocontrol efficacy of SFJ-12-R-5 filtrate against <italic>B. cinerea</italic> on detached cherry tomato fruits</title>
<p>Healthy tomato fruits of similar sizes were disinfected by soaking in a 1% NaClO solution for 2 minutes, followed by thorough rinsing with sterilized water. After air-drying, fifteen fruits were then placed on moistened sterile filter paper in a germination box. Each disinfected tomato fruits were wounded (2 mm depth, 2 mm in diameter) using a sterile nail. The treated fruits were then air-dried on a clean bench, and 2 &#x3bc;L of a <italic>B. cinerea</italic> conidial suspension (1&#xd7;10<sup>6</sup> conidia/mL) was pipetted into each wound (<xref ref-type="bibr" rid="B33">Hua et&#xa0;al., 2019</xref>). Approximately one-hour post-inoculation, 6 &#x3bc;L of SFJ-12-R-5 culture filtrate and 6 &#x3bc;L of 120 &#x3bc;g/mL 25% pyrisoxazole EC was respectively dropped into the fruit wounds of the corresponding treatment boxes. For the blank control, fruits not inoculated with <italic>B. cinerea</italic> conidia were treated only with sterile water. All boxes were cultured at 23 &#xb0;C under a L:D=12:12 cycle. Six days post-incubation, lesion diameters were measured. Each treatment was performed in triplicate, with 15 fruits per replicate, and the experiment was repeated three times.</p>
</sec>
<sec id="s2_7">
<title>The biocontrol efficacy of SFJ-12-R-5 filtrate against <italic>B. cinerea</italic> on cherry tomato plant</title>
<p>Tomato seeds were sown in soil and transplanted into individual pots after three weeks. The plants were grown in a greenhouse for six weeks. Afterward, each plant of similar size was inoculated with 4 mL of a <italic>B. cinerea</italic> conidial suspension (1&#xd7;10<sup>6</sup> conidia/mL). Fifteen minutes post-inoculation, each plant was sprayed with 4 mL of SFJ-12-R-5 culture filtrate until runoff. Plants inoculated only with <italic>B. cinerea</italic> conidial suspension served as the pathogen control, while those sprayed with sterile distilled water were treated as the blank control. 4 mL of 120 &#x3bc;g/mL 25% pyrisoxazole EC was sprayed on each plant as a chemical control. The experimental plants were arranged in a complete randomized block design with two replicates of three plants per treatment. Six days post-inoculation with <italic>B. cinerea</italic> conidia, the gray mold incidence was recorded. Gray mold severity on tomato plants was measured via a 0&#x2013;4 disease-rating scale (<xref ref-type="bibr" rid="B42">Lee et&#xa0;al., 2006</xref>).</p>
</sec>
<sec id="s2_8">
<title>DNA extraction and genome sequencing</title>
<p>The genome was sequenced by Majorbio Biotech Co., Ltd (Shanghai, China). Briefly, genomic DNA was extracted using the CTAB method. DNA concentration and integrity were assessed using a Qubit 3.0 fluorometer (Thermo Fisher Scientific, United States) and Nanodrop 2000 (Thermo Fisher Scientific, United States), respectively. A library with insert sizes of approximately 350 bp was constructed following Illumina&#x2019;s second-generation sequencing library preparation standards. The library was then sequenced on the Illumina NovaSeq 6000 platform (Illumina Inc., San Diego, CA, United States) with a PE150 layout. Additionally, a 20-kb SMRT Bell library was constructed using the DNA Template Prep Kit 1.0, and sequenced on the PacBio Sequel system (Pacific Biosciences, United States).</p>
</sec>
<sec id="s2_9">
<title>Genome assembly and annotation</title>
<p>Following sequencing, data quality control was performed using FASTP (v.0.20.0) (<xref ref-type="bibr" rid="B13">Chen et&#xa0;al., 2018</xref>) with default parameters. This process involved removing low-quality reads, adapter sequences, and reads containing more than 10% ambiguous nucleotides (N). GenomeScope (<xref ref-type="bibr" rid="B74">Vurture et&#xa0;al., 2017</xref>) was then employed to assess the genomic characteristics based on the short reads obtained from the sequencing. Canu (v1.7) (<xref ref-type="bibr" rid="B37">Koren et&#xa0;al., 2017</xref>) was used to assemble the genome. The genome was further polished using Pilon (v1.24) (<xref ref-type="bibr" rid="B75">Walker et&#xa0;al., 2014</xref>) with short reads over three rounds of refinement. To evaluate genome completeness, BUSCO (v5.8.1) (<xref ref-type="bibr" rid="B66">Sim&#xe3;o et&#xa0;al., 2015</xref>) was applied with the fungi_odb10 dataset. GC-Depth values were calculated and visualized using a custom R script. Repeat elements within the genome were annotated using RepeatMasker (v4.0.7) (<xref ref-type="bibr" rid="B70">Tarailo-Graovac and Chen, 2009</xref>). Gene prediction was performed with MAKER2 (v2.31.9) (<xref ref-type="bibr" rid="B32">Holt and Yandell, 2011</xref>). Ribosomal RNA (rRNA) and transfer RNA (tRNA) components were predicted using Barrnap (v0.4.2) and tRNAscan-SE (v1.3.1) (<xref ref-type="bibr" rid="B53">Lowe and Eddy, 1997</xref>), respectively.</p>
<p>To annotate the functions of the predicted coding genes, amino acid sequences were aligned to NR (Latest), Swiss-Prot (v20170410) (<xref ref-type="bibr" rid="B26">Gasteiger et&#xa0;al., 2001</xref>), Pfam (v31.0) (<xref ref-type="bibr" rid="B25">Finn et&#xa0;al., 2006</xref>) and KEGG (Latest) using BLAST (v2.3.0) (<xref ref-type="bibr" rid="B11">Camacho et&#xa0;al., 2009</xref>). The gene ontologies (GO) were annotated using Blast2GO (V2.5) (<xref ref-type="bibr" rid="B14">Conesa et&#xa0;al., 2005</xref>). Carbohydrate active enzymes (CAZymes) were annotated using the CAZy (v6) (<xref ref-type="bibr" rid="B12">Cantarel et&#xa0;al., 2009</xref>) database. Genes related to host interactions were annotated with the PHI-base (<xref ref-type="bibr" rid="B73">Urban et&#xa0;al., 2020</xref>) (v4.4) database, and virulence factors were identified through the DFVF (v1.0) (<xref ref-type="bibr" rid="B54">Lu et&#xa0;al., 2012</xref>) database. Secreted proteins were identified using SignalP (v6) (<xref ref-type="bibr" rid="B71">Teufel et&#xa0;al., 2022</xref>), and transporters were annotated using the TCDB (<xref ref-type="bibr" rid="B62">Saier et&#xa0;al., 2021</xref>) database. The secondary metabolite related genes were predicted with antiSMASH (v8.0.2) (<xref ref-type="bibr" rid="B7">Blin et&#xa0;al., 2019</xref>). Additionally, transmembrane proteins were also considered during the analysis. The genome characteristics were illustrated using Circos (v0.69-6) (<xref ref-type="bibr" rid="B38">Krzywinski et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s2_10">
<title>Phylogenetic analysis</title>
<p>To elucidate the evolutionary relationships of <italic>P. nobilis</italic>, ten related species were selected for comparative analysis. Orthofinder (v2.27) (<xref ref-type="bibr" rid="B22">Emms and Kelly, 2019</xref>) was used to identify orthologous genes among the 11 species. The Upset tool (<xref ref-type="bibr" rid="B44">Lex and Gehlenborg, 2014</xref>) was employed to visualize the shared and unique gene families across all species. Subsequently, orthologous genes were aligned using Muscle for multiple sequence alignment (<xref ref-type="bibr" rid="B21">Edgar, 2004</xref>), and the alignment results were concatenated to generate the super-gene sequence. The phylogenetic tree was then constructed using MEGA (v11) (<xref ref-type="bibr" rid="B69">Tamura et&#xa0;al., 2021</xref>) with the Tamura-Nei model and 1000 bootstrap replicates. Finally, the tree was visualized using iTOL (<ext-link ext-link-type="uri" xlink:href="https://itol.embl.de/">https://itol.embl.de/</ext-link>) (<xref ref-type="bibr" rid="B43">Letunic and Bork, 2021</xref>).</p>
</sec>
<sec id="s2_11">
<title>Statistical analysis</title>
<p>Data were analyzed for statistical significance using one-way analysis of variance (ANOVA). Mean comparisons were performed using the least significant difference (LSD) test at P &#x2264; 0.05. Statistical analyses were conducted using SPSS software (version 19.0, SPSS Inc., Chicago, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>The inhibitory effect of <italic>P. nobilis</italic> SFJ-12-R-5 on the mycelial growth of <italic>B. cinerea</italic>
</title>
<p>
<italic>P. nobilis</italic> SFJ-12-R-5 produced a significant inhibition zone in front of the <italic>B. cinerea</italic> colony (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), reducing mycelial growth by 66.67 &#xb1; 3.15%. Furthermore, the hyphae at the edge of the <italic>B. cinerea</italic> colony appeared sparse and loosely arranged, suggesting the presence of fungistatic secondary metabolites produced by <italic>P. nobilis</italic>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Effects of strain SFJ-12-R-5 and its metabolites on the mycelial growth of <italic>Botrytis cinerea</italic>. <bold>(A)</bold> Single-strain culture of SFJ-12-R-5 and <italic>B cinerea</italic>. <bold>(B)</bold> Inhibitory effect of SFJ-12-R-5 metabolites on <italic>B cinerea</italic>. <bold>(C)</bold> Untreated control showing normal mycelial growth. <bold>(D)</bold> Morphological changes in <italic>B. cinerea</italic> hyphae after treatment with SFJ-12-R-5 metabolites.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g001.tif">
<alt-text content-type="machine-generated">Petri dishes labeled A and B show fungal growth on media, with distinct cultures visible. Below, scanning electron micrographs labeled C and D display detailed views of fungal hyphae, revealing their textured, intertwined structures.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<title>The effect of <italic>P. nobilis</italic> SFJ-12-R-5 filtrate on the mycelia growth of <italic>B. cinerea</italic>
</title>
<p>No hyphae were observed around the Oxford cups. Colonies grown on PDA supplemented with 250 &#x3bc;L of culture filtrate in Oxford cups were significantly inhibited compared to the control treatment. The inhibition zone was notable, with a diameter of 20.83 &#xb1; 3.78 mm (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Control hyphae were uniformly distributed, intact and robust, and (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In contrast, the treated hyphae exhibited abnormalities, including excessive twisting, short branches, and cell wall lysis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>).</p>
<p>The filtrate inhibited mycelial growth in a concentration-dependent manner, and with significant differences observed among different filtrate dilutions (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;F</bold>
</xref>). The inhibition rates of <italic>B. cinerea</italic> mycelial growth were 100 &#xb1; 0%, 89.14 &#xb1; 1.35%, 82.34 &#xb1; 0.35%, 45.24 &#xb1; 1.46%, and 35.65 &#xb1; 1.16% when treated with filtrate diluted 10, 50, 100, 500, and 1000 times, respectively, all significantly (<italic>p</italic> &lt; 0.001) higher than the control group (0%).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Inhibitory effects of strain 12-R-5 fermentation filtrate on the mycelial growth of <italic>B cinerea</italic> at different dilutions levels. Filtrate dilutions: 1000-fold <bold>(B)</bold>, 500-fold <bold>(C)</bold>, 100-fold <bold>(D)</bold>, 50-fold <bold>(E)</bold>, and 10-fold <bold>(F)</bold>. <bold>(A)</bold> Untreated control showing normal mycelial growth.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g002.tif">
<alt-text content-type="machine-generated">Six labeled petri dishes with mold cultures, each marked with letters and a date, &#x201c;8.11&#x201d;. Panel A shows a large spread labeled &#x201c;OK&#x201d;. Panels B to F show smaller growths labeled A, B, E, F, and I, respectively.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<title>The culture filtrate of <italic>P. nobilis</italic> SFJ-12-R-5 reduced gray mold severity on detached leaves, fruits and whole tomato plants</title>
<p>Leaves inoculated only with <italic>B. cinerea</italic> exhibited typical gray mold lesions, where leaves treated with biocontrol agent treatment and chemical agent treatment groups showed significant reduced lesions (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;D</bold>
</xref>). The lesion area in the pathogen control group was 6.34 cm<sup>2</sup>, while in the filtrate-treated group, it was only 0.81 cm<sup>2</sup>, corresponding to an 87.21% inhibitory effect (<italic>p</italic>&lt;0.01). The area of leaf lesions in the chemical agent treatment group was 0.64 cm<sup>2</sup>, and the inhibitory effect was 89.90% (<italic>p</italic>&lt;0.01). The biocontrol potential of <italic>P. nobilis</italic> filtrate was also tested on cherry tomato fruits. Fruits treated only with B. cinerea exhibited a higher incidence of gray mold compared to those treated with both <italic>B. cinerea</italic> and filtrate. The lesion area on pathogen control fruits was 4.32 cm<sup>2</sup>, while no lesions were observed on fruits treated with biocontrol agent and chemical agent treatment groups. The inhibition rate of both treatment groups was 100% (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E&#x2013;H</bold>
</xref>). When comparing treatment groups, plants treated only with <italic>B. cinerea</italic> showed a gray mold severity of 75.34%, notably higher than the 28.57% observed in plants treated with both <italic>B. cinerea</italic> and the filtrate. This combined treatment achieved a 62.08% reduction in gray mold severity (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3I&#x2013;L</bold>
</xref>). These results suggest that <italic>P. nobilis</italic> effectively reduced the lesions caused by <italic>B. cinerea</italic> on both leaves and fruits.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Biocontrol efficacy of strain SFJ-12-R-5 fermentation filtrate against <italic>Botrytis cinerea</italic> on detached tomato leaves, fruits, and whole plants. <bold>(A, E, I)</bold> Untreated controls; <bold>(B, F, J)</bold> Pathogen controls without filtrate treatment; <bold>(C, G, K)</bold> Samples treated with SFJ-12-R-5 fermentation filtrate; <bold>(D, H, L)</bold> Samples treated with 25% pyrifenox emulsifiable concentrate (EC).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g003.tif">
<alt-text content-type="machine-generated">Images labeled A to L show a sequence related to plant and fruit conditions. Panels A to D display individual leaves, with B showing signs of damage or disease. Panels E to H feature trays of tomatoes, some with visible mold or decay. Panels I to L depict different stages of tomato plant growth, with varying health and leaf density.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<title>The genome of <italic>P. nobilis</italic> SFJ-12-R-5</title>
<p>The genome was sequenced using a combination of NGS and Pacbio SMRT sequencing technologies. For Illumina sequencing, 13.98 million paired-end (PE) 150 reads were generated, corresponding to 4.25 Gb of data (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). Pacbio sequencing yielded 5.12 Gb of data, with a total of 512.99 thousand reads and an average read length of 9,980 bp (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>).</p>
<p>Based on the analysis of <italic>k</italic>-mer distribution, the estimated genome size was 49.75 Mb. The genome displayed a low heterozygosity level of 0.03% and a repeat sequence content of 18.90% (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). After assembly, the final genome size was 42.59 Mb, comprising 115 contigs with a GC content of 49.16% (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The quality of the assembly was reflected in a contig N50 value of 435.95 kb and an average contig length of 370.25 kb. Genome completeness, assessed using the BUSCO database, revealed that the assembly achieved 91% completeness (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Additionally, the GC-depth profile showed an even distribution of sequencing depth across varying GC percentages, with no evidence of contamination from other species (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Genome assembly and quality assessment of <italic>P. nobilis</italic> SFJ-12-R-5. <bold>(A)</bold> Genome characteristics survey using GenomeScope. <bold>(B)</bold> A Circos plot showing the genome components. <bold>(C)</bold> Genome completeness assessment using BUSCO. <bold>(D)</bold> A GC-depth plot showing the quality of assembled sequences.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g004.tif">
<alt-text content-type="machine-generated">Panel A shows a GenomeScope profile with coverage versus frequency, highlighting observed data, full model, unique sequences, errors, and k-mer peaks. Panel B displays a circular genomic representation with labeled scaffolds and different data layers. Panel C depicts a BUSCO assessment result bar chart indicating completeness, duplications, fragmentation, and missing data percentages. Panel D presents a scatter plot with histograms aligned to the axes, illustrating data distribution in two dimensions.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Genome features of <italic>P. nobilis</italic> SFJ-12-R-5 genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Indexes of genome sequence</th>
<th valign="middle" align="center">Values</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Assembly genome length (Mb)</td>
<td valign="middle" align="center">42.58</td>
</tr>
<tr>
<td valign="middle" align="center">Number of contigs</td>
<td valign="middle" align="center">115</td>
</tr>
<tr>
<td valign="middle" align="center">GC content (%)</td>
<td valign="middle" align="center">49.16</td>
</tr>
<tr>
<td valign="middle" align="center">Average contig length (Kb)</td>
<td valign="middle" align="center">370.25</td>
</tr>
<tr>
<td valign="middle" align="center">Max contig length (Kb)</td>
<td valign="middle" align="center">1,603.87</td>
</tr>
<tr>
<td valign="middle" align="center">Contig N50 (Kb)</td>
<td valign="middle" align="center">435.95</td>
</tr>
<tr>
<td valign="middle" align="center">Contig N90 (Kb)</td>
<td valign="middle" align="center">206.76</td>
</tr>
<tr>
<td valign="middle" align="center">Annotated genes</td>
<td valign="middle" align="center">14,578</td>
</tr>
<tr>
<td valign="middle" align="center">Average gene length (bp)</td>
<td valign="middle" align="center">1,855</td>
</tr>
<tr>
<td valign="middle" align="center">Gene density (number/Kb)</td>
<td valign="middle" align="center">0.34</td>
</tr>
<tr>
<td valign="middle" align="center">Gene length/Genome length (%)</td>
<td valign="middle" align="center">63.51</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Genome annotation of <italic>P. nobilis</italic> SFJ-12-R-5</title>
<p>The proportion of repetitive sequences in the genome was exceptionally low, constituting only 10.86%. A total of 14,578 protein-coding genes were identified in the genome (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>), of which 11,519 (79.02%) were successfully annotated using existing databases (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>). The total length of all protein-coding genes was 27.04 Mb, accounting for 63.49% of the total genome length. On average, each protein-coding gene was 1,854.87 bp long, with an average of 5 exons per gene. Additionally, 73 tRNAs and 25 rRNAs were identified in the genome.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Gene function annotation of <italic>P. nobilis</italic> SFJ-12-R-5 genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Databases</th>
<th valign="middle" align="center">Number</th>
<th valign="middle" align="center">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">KEGG</td>
<td valign="middle" align="center">1,940</td>
<td valign="middle" align="center">13.31%</td>
</tr>
<tr>
<td valign="middle" align="center">GO</td>
<td valign="middle" align="center">6,645</td>
<td valign="middle" align="center">45.58%</td>
</tr>
<tr>
<td valign="middle" align="center">Swiss-Prot</td>
<td valign="middle" align="center">6,723</td>
<td valign="middle" align="center">46.12%</td>
</tr>
<tr>
<td valign="middle" align="center">Pfam</td>
<td valign="middle" align="center">7,587</td>
<td valign="middle" align="center">52.04%</td>
</tr>
<tr>
<td valign="middle" align="center">COG</td>
<td valign="middle" align="center">10,076</td>
<td valign="middle" align="center">69.12%</td>
</tr>
<tr>
<td valign="middle" align="center">NR</td>
<td valign="middle" align="center">11,517</td>
<td valign="middle" align="center">79.00%</td>
</tr>
<tr>
<td valign="middle" align="center">Total annotated</td>
<td valign="middle" align="center">11,519</td>
<td valign="middle" align="center">79.02%</td>
</tr>
<tr>
<td valign="middle" align="center">Total genes</td>
<td valign="middle" align="center">14,578</td>
<td valign="middle" align="center">100.00%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Further annotation of the predicted coding genes was performed using multiple databases, yielding the following results. KEGG annotation revealed that the genes were primarily distributed across 30 subcategories within 6 major categories (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). The top three subcategories, based on gene count, were signal transduction (168 genes), infectious diseases: viral (149 genes), and endocrine system (120 genes). Annotation using the CAZy database identified a total of 657 CAZyme genes, which were classified into 6 major categories (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>). The majority of these genes were associated with glycoside hydrolases (269 genes, 40.94%), followed by auxiliary activities (180 genes, 27.40%), and carbohydrate esterases (101 genes, 15.37%). Analysis with the PHI database enabled the annotation of 1058 genes related to host interactions, which were categorized into 7 major classes (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>). The predominant categories included reduced virulence (523 genes, 44.32%), unaffected pathogenicity (392 genes, 33.22%), and loss of pathogenicity (128 genes, 10.85%). Among all annotated genes, 1439 were identified as secreted proteins (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S7</bold>
</xref>). The majority of these secreted proteins (1405 genes, 97.64%) lacked transmembrane domains, while a small fraction (34 genes, 2.36%) contained transmembrane domains. Additionally, 1622 transmembrane proteins were identified (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>). Annotation using the DFVF database uncovered two virulence factors, <italic>yidC</italic> and <italic>ffh</italic>, both of which are associated with the Sec-SRP secretion system. AntiSMASH prediction identified 52 potential secondary metabolite biosynthetic gene clusters (BGCs), covering 10 major categories, including 22 type I polyketide synthase (T1PKS) clusters, 8 terpene clusters, 7 non-ribosomal peptide synthetase (NRPS) clusters, 7 NRPS-like clusters, 3 isocyanide clusters, 1 betalactone cluster, 1 terpene-precursor cluster, 1 NRP-metallophore cluster, 1 phosphonate cluster, and 1 terpene-precursor cluster (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S9</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Gene function annotation of <italic>Pinna nobilis</italic> SFJ-12-R-5 using different databases. <bold>(A)</bold> Statistics of the Class II functions in the KEGG database. <bold>(B, C)</bold> show the annotation function statistics of the CAZy and Phi databases respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g005.tif">
<alt-text content-type="machine-generated">Chart A is a horizontal bar graph showing gene numbers across KEGG function descriptions, with metabolism and organismal systems having the highest counts. Chart B is a pie chart representing CAZy genes, with Glycoside Hydrolases comprising 40.94 percent. Chart C is a pie chart for PHI genes, with Reduced virulence at 44.32 percent.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_6">
<title>Genome based phylogenetic analysis of <italic>P. nobilis</italic> SFJ-12-R-5</title>
<p>To further clarify the phylogenetic relationship of <italic>P. nobilis</italic>, we selected the genomes of 10 reference species for in-depth comparison (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S10</bold>
</xref>). By aligning the amino acid sequences of the whole coding genes, a total of 3,264 shared orthologous gene groups were identified among these 11 species (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). After concatenating these genes, we used the software MEGA to construct the neighbor joining phylogenetic tree (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The results showed that all species within the order <italic>Pleosporales</italic> clustered together in one branch. The species most closely related to <italic>P. nobilis</italic> was another species within the same genus, which has not been classified at the species level, and the two species clustered together in one branch. <italic>P. nobilis</italic> is evolutionarily close to the genera <italic>Leptosphaeria/Plenodomus</italic>, followed by the genus <italic>Parastagonospora</italic>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Gene family identification and whole genome based phylogenetic analysis of <italic>P. nobilis</italic> SFJ-12-R-5. <bold>(A)</bold> Upset graph showing the shared orthologous gene groups of the 11 species. <bold>(B)</bold> The neighbor-joining tree was constructed using super-genes formed by the tandem merging of common single - copy genes from these 11 species. The tree was generated using MEGA 11 with a bootstrap value of 1000.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1610287-g006.tif">
<alt-text content-type="machine-generated">Chart A is an upset plot showing intersection sizes of gene sets across different fungal species, highlighted by bars and linked dots. Chart B is a phylogenetic tree illustrating evolutionary relationships among various fungi, with branch lengths representing genetic distances and species names listed alongside taxonomic classifications.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Greenhouse pests and diseases stand out as key challenges in Integrated Pest Management (IPM). Under favorable temperature and humidity conditions, greenhouse crops are more prone to infection by <italic>B. cinerea</italic>, the causal agent of gray mold. Notably, biocontrol agents exhibit effective inhibition on the proliferation of <italic>B. cinerea</italic>. Consequently, research focusing on these biocontrol agents is of critical importance for the prevention of gray mold in greenhouse crops. There are over one million known species of endophytic fungi in plants, making them a prominent focus of research for discovering novel and valuable bioactive compounds (<xref ref-type="bibr" rid="B18">De Silva et&#xa0;al., 2019</xref>). Due to their unique growth environments and symbiotic relationships with their host plants, endophytic fungi from medicinal plants often produce bioactive compounds similar to those found in their host. These microbial secondary metabolites can be directly developed into agricultural antibiotics to combat plant diseases and pests (<xref ref-type="bibr" rid="B61">Rondot and Reineke, 2018</xref>; <xref ref-type="bibr" rid="B34">Hummadi et&#xa0;al., 2021</xref>). The protective mechanisms of endophytic fungi primarily stem from their strong spatial and nutritional competitiveness. They can either release metabolites to directly inhibit plant pathogen growth or, indirectly, stimulate the host&#x2019;s defense mechanisms and promote its growth.</p>
<p>
<italic>Astragalus</italic> has a long-standing history of medicinal use and is one of the most commonly used bulk medicinal materials in modern Chinese medicine (<xref ref-type="bibr" rid="B81">Xu et&#xa0;al., 2024</xref>). However, research on <italic>Astragalus</italic> has primarily focused on its medicinal benefits. <italic>Pyrenochaeta</italic> spp. are commonly found in the environment and act as saprophytes in soil, plants, and wood, particularly in tropical and subtropical areas (<xref ref-type="bibr" rid="B67">Soltani and Hosseyni Moghaddam, 2015</xref>; <xref ref-type="bibr" rid="B79">Wazny et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B5">Behnke-Borowczyk et&#xa0;al., 2023</xref>). Although <italic>Pyrenochaeta</italic> spp. are thought to potentially cause yield losses in some crops (<xref ref-type="bibr" rid="B55">Lyu et&#xa0;al., 2020</xref>), their antagonistic potential against plant pathogens has received limited attention. In this study, we screened the antagonistic endophytic fungi <italic>P. nobilis</italic> strain SFJ-12-R-5 from the root of <italic>A. membranaceus.</italic> These findings not only underscore the significance of medicinal plants as a critical resource for screening antagonistic endophytic species but also challenges long-held perceptions, thereby opening up a new avenue for the development and application of <italic>Pyrenochaeta</italic> spp.</p>
<p>In this study, we, for the first time, systematically evaluated the antifungal activity of <italic>P. nobilis</italic> strain SFJ-12-R-5, both the live strain and its fermentation filtrate, against <italic>B. cinerea</italic> using a comprehensive suite of assay methods. In contrast to <italic>Trichoderma</italic>, whose biocontrol efficacy against phytopathogens primarily relies on mycoparasitism and the induction of plant systemic resistance, <italic>P. nobilis</italic> strain SFJ-12-R-5 was found to exert potent suppressive effects on <italic>B. cinerea</italic> specifically through the production of fungistatic secondary metabolites. This result was further confirmed using the Oxford Cup test. Through the inoculation of detached leaves, fruits, and whole plants, with <italic>B. cinerea</italic> and simultaneous application of <italic>P. nobilis</italic> fermentation filtrate, we observed a significant reduction in lesion areas on both leaves and fruits of leaves and fruits. These results demonstrate the reliability of <italic>P. nobilis</italic> strain SFJ-12-R-5 in inhibiting <italic>B. cinerea</italic> on tomato. It causes no harm to either leaves or fruits, confirming that <italic>P. nobilis</italic> is effective in controlling gray mold in tomatoes and holds promise as a biocontrol agent against <italic>B. cinerea</italic>. Currently, its effectiveness has only been observed in tomatoes. However, it holds promise for application in different crops, which will further broaden its scope of use.</p>
<p>Genomes serve as a critical foundation for investigating the functions and mechanisms of species (<xref ref-type="bibr" rid="B58">Rhie et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B20">Du et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B80">Xie et&#xa0;al., 2025</xref>). In this study, we constructed a high-quality genome of the SFJ-12-R-5 strain using short-read and long-read sequencing technologies. This will provide a robust foundation for subsequent research endeavors. Although the assembly quality of this genome is relatively high, with a contig N50 of 435.95 Kb and a BUSCO completeness of 91%, it was constrained by the technical limitations at the time the experiment was conducted. Therefore, in future studies, HiFi and Hi-C technologies can be considered to further improve the genome assembly quality (<xref ref-type="bibr" rid="B30">Han et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B84">Yang et&#xa0;al., 2025</xref>).</p>
<p>A total of 14,578 coding genes were annotated in the genome of <italic>P. nobilis</italic> strain SFJ-12-R-5. Through analysis using KEGG, CAZy, PHI, and DFVF databases, we gained a preliminary understanding of the species&#x2019; metabolic functions, carbohydrates metabolism, host interactions, and virulence. Ultimately, approximately 80% of the genes were functionally annotated. This annotation rate is relatively low compared to that of other widely studied species. However, with the further advancement of functional genomics and the continuous expansion of diversity in public databases, this rate is expected to increase further.</p>
<p>A large number of secondary metabolic gene clusters were detected in the genome of <italic>P. nobilis</italic> strain SFJ-12-R-5, among which T1PKS were the most abundant. T1PKS are key enzymes in secondary metabolism, primarily functioning to catalyze the biosynthesis of polyketides, which are structurally diverse and biologically active natural products (<xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2020a</xref>). This suggests that polyketide compounds may be important factors contributing to the biocontrol activity of <italic>P. nobilis</italic> (<xref ref-type="bibr" rid="B64">Senabio et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B83">Yan et&#xa0;al., 2024</xref>), warranting focused attention in subsequent studies. Although only two virulence-associated genes, <italic>yidC</italic> and <italic>ffh</italic>, were identified in this genome, both serve as core components of the Sec-SRP secretion system. As one of the pivotal pathways governing protein targeting and membrane insertion, this system plays a central role in the precise delivery of nascent proteins synthesized intracellularly to the cell membrane, or in facilitating their insertion across the membrane (<xref ref-type="bibr" rid="B16">Dalbey et&#xa0;al., 2014</xref>). Based on this functional context, we hypothesize that <italic>yidC</italic> and <italic>ffh</italic> may indirectly support the biosynthesis of secondary metabolites by ensuring the accurate localization and structural-functional integrity of synthases, such as T1PKS. In turn, this metabolic support is likely to contribute to the biocontrol capacity of the fungus.</p>
<p>In this study, although we successfully constructed a high-quality genome, we have not yet further elucidated its underlying mechanism. In the future, integrated analyses of multi-omics data, such as transcriptomics and metabolomics, should be performed to clarify the antagonistic mechanism of <italic>P. nobilis</italic> against <italic>B. cinerea</italic> (<xref ref-type="bibr" rid="B65">Shi et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B85">Yu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B87">Zhu et&#xa0;al., 2025</xref>). Based on the genomic data, transcriptomic and metabolomic analyses can be conducted to further clarify gene expression patterns, identify differential metabolites, and characterize key metabolic pathways, thereby narrowing down the scope of investigation into potential inhibitory mechanisms. Building on these findings, the functions of potential key genes can be further verified through molecular techniques, such as CRISPR-based gene knockout and complementation experiments.</p>
<p>In conclusion, we report the isolation and genome of a novel biocontrol fungal endophyte, <italic>P. nobilis</italic> strain SFJ-12-R-5, which exhibits strong inhibition of the gray mold pathogen <italic>B. cinerea</italic>. These findings provide valuable genomic and experimental resources for future research on gray mold disease prevention and the development of sustainable biocontrol strategies. Besides, these data and analysis results further enhance our understanding of this species and lay the foundation for future research on the inhibitory mechanisms of <italic>Pyrenochaeta</italic> against <italic>B. cinerea</italic>.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data generated in this study have been deposited in the China National Center for Bioinformation database (<uri xlink:href="https://ngdc.cncb.ac.cn/">https://ngdc.cncb.ac.cn/</uri>) under the assigned project number of PRJCA038396.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>FY: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. SW: Data curation, Writing &#x2013; original draft. XJ: Writing &#x2013; review &amp; editing, Formal analysis. HD: Writing &#x2013; original draft, Investigation. YL: Writing &#x2013; original draft. YZ: Visualization, Writing &#x2013; review &amp; editing. CL: Funding acquisition, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by Projects of the Heilongjiang Academy of Agricultural Sciences (CX23GG19) and the foundation of Postdoctoral Fellows Settled in Heilongjiang Funding Project (2023-ZBS), and Heilongjiang Province Modern Agricultural Industry Technology Collaborative Innovation System (2023-1197).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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="s12" 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/fpls.2025.1610287/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1610287/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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