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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.2023.1112673</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>Insights into the ecological generalist lifestyle of <italic>Clonostachys</italic> fungi through analysis of their predicted secretomes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Piombo</surname>
<given-names>Edoardo</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2063862/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guaschino</surname>
<given-names>Micol</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2121721/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jensen</surname>
<given-names>Dan Funck</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/504543/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Karlsson</surname>
<given-names>Magnus</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/224128/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dubey</surname>
<given-names>Mukesh</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/580129/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences</institution>, <addr-line>Uppsala</addr-line>, <country>Sweden</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino</institution>, <addr-line>Grugliasco</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Sabrina Sarrocco, University of Pisa, Italy</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Roberta Marra, University of Naples Federico II, Italy; Eliane Ferreira Noronha, University of Brasilia, Brazil; Prasun K. Mukherjee, Bhabha Atomic Research Centre (BARC), India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Mukesh Dubey, &#x02709; <email>Mukesh.Dubey@slu.se</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Microbe and Virus Interactions with Plants, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1112673</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Piombo, Guaschino, Jensen, Karlsson and Dubey.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Piombo, Guaschino, Jensen, Karlsson and Dubey</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 fungal secretome comprise diverse proteins that are involved in various aspects of fungal lifestyles, including adaptation to ecological niches and environmental interactions. The aim of this study was to investigate the composition and activity of fungal secretomes in mycoparasitic and beneficial fungal-plant interactions.</p>
</sec>
<sec>
<title>Methods</title>
<p>We used six <italic>Clonostachys</italic> spp. that exhibit saprotrophic, mycotrophic and plant endophytic lifestyles. Genome-wide analyses was performed to investigate the composition, diversity, evolution and gene expression of <italic>Clonostachys</italic> secretomes in relation to their potential role in mycoparasitic and endophytic lifestyles.</p>
</sec>
<sec>
<title>Results and discussion</title>
<p>Our analyses showed that the predicted secretomes of the analyzed species comprised between 7 and 8% of the respective proteomes. Mining of transcriptome data collected during previous studies showed that 18% of the genes encoding predicted secreted proteins were upregulated during the interactions with the mycohosts <italic>Fusarium graminearum and Helminthosporium solani</italic>. Functional annotation of the predicted secretomes revealed that the most represented protease family was subclass S8A (11&#x2013;14% of the total), which include members that are shown to be involved in the response to nematodes and mycohosts. Conversely, the most numerous lipases and carbohydrate-active enzyme (CAZyme) groups appeared to be potentially involved in eliciting defense responses in the plants. For example, analysis of gene family evolution identified nine CAZyme orthogroups evolving for gene gains (<italic>p</italic> &#x2264; 0.05), predicted to be involved in hemicellulose degradation, potentially producing plant defense-inducing oligomers. Moreover, 8&#x2013;10% of the secretomes was composed of cysteine-enriched proteins, including hydrophobins, important for root colonization. Effectors were more numerous, comprising 35&#x2013;37% of the secretomes, where certain members belonged to seven orthogroups evolving for gene gains and were induced during the <italic>C. rosea</italic> response to <italic>F. graminearum or H. solani</italic>. Furthermore, the considered <italic>Clonostachys</italic> spp. possessed high numbers of proteins containing Common in Fungal Extracellular Membranes (CFEM) modules, known for their role in fungal virulence. Overall, this study improves our understanding of Clonostachys spp. adaptation to diverse ecological niches and establishes a basis for future investigation aiming at sustainable biocontrol of plant diseases.</p>
</sec>
</abstract>
<kwd-group>
<kwd>biocontrol</kwd>
<kwd><italic>Clonostachys</italic></kwd>
<kwd>mycoparasitism</kwd>
<kwd>small secreted cysteine-rich proteins</kwd>
<kwd>effector</kwd>
<kwd>CFEM proteins</kwd>
<kwd>antagonism</kwd>
<kwd>secretome</kwd>
</kwd-group>
<contract-num rid="cn1">2018-01420</contract-num>
<contract-num rid="cn1">2021-01461</contract-num>
<contract-num rid="cn2">CTS 19: 82</contract-num>
<contract-sponsor id="cn1">Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning<named-content content-type="fundref-id">10.13039/501100001862</named-content></contract-sponsor>
<contract-sponsor id="cn2">Carl Tryggers Stiftelse f&#x00F6;r Vetenskaplig Forskning<named-content content-type="fundref-id">10.13039/501100002805</named-content></contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="113"/>
<page-count count="16"/>
<word-count count="12007"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Fungal secreted proteins (secretome) play an important role in fungal biology and adaption to various ecological niches, and environmental interactions ranging from mutualism to parasitism and interference competition (<xref ref-type="bibr" rid="ref23">Druzhinina et al., 2012</xref>; <xref ref-type="bibr" rid="ref77">Pellegrin et al., 2015</xref>; <xref ref-type="bibr" rid="ref62">Lu and Edwards, 2016</xref>). Genes encoding secreted proteins typically encompass 4&#x2013;15% of the total gene numbers in fungal genomes (<xref ref-type="bibr" rid="ref33">Girard et al., 2013</xref>; <xref ref-type="bibr" rid="ref77">Pellegrin et al., 2015</xref>). These proteins are classified into various functional groups such as carbohydrate-active enzymes (CAZymes), proteases, lipases and oxidoreductases needed for nutrient acquisition, self-protection and biotic interactions with microbes, plants and animals (<xref ref-type="bibr" rid="ref53">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>; <xref ref-type="bibr" rid="ref32">Feldman et al., 2020</xref>). Moreover, 40&#x2013;60% of predicted fungal secretome proteins are typically shorter than 300 amino acids (aa) and are referred to as small secreted proteins (SSPs; <xref ref-type="bibr" rid="ref77">Pellegrin et al., 2015</xref>; <xref ref-type="bibr" rid="ref53">Kim et al., 2016</xref>). SSPs are often cysteine-rich, lack known protein modules or catalytic domains and certain members act as effectors mediating communication between organisms ranging from beneficial to detrimental interactions (<xref ref-type="bibr" rid="ref53">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="ref89">Selin et al., 2016</xref>).</p>
<p>SSPs are mainly studied in the context of pathogenic fungal-plant interactions, and their composition and role in parasitic fungal-fungal and beneficial fungal-plant interactions is still poorly investigated. In fungi used for biological control of plant diseases, for example members of the <italic>Trichoderma</italic> and <italic>Clonostachys</italic> genera, the function of certain SSPs including hydrophobins, cerato-platanins and LysM module-containing proteins in regulating interactions with fungal hosts (mycohosts) and plant hosts are shown (<xref ref-type="bibr" rid="ref25">Dubey et al., 2012</xref>, <xref ref-type="bibr" rid="ref24">2014</xref>; <xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>; <xref ref-type="bibr" rid="ref82">Ram&#x00ED;rez-Valdespino et al., 2019</xref>; <xref ref-type="bibr" rid="ref46">Jensen et al., 2021</xref>). In addition, a SSP family with Common in Fungal Extracellular Membranes (CFEM) modules has been identified in <italic>T. atroviride</italic> (<xref ref-type="bibr" rid="ref58">Kulkarni et al., 2003</xref>; <xref ref-type="bibr" rid="ref23">Druzhinina et al., 2012</xref>; <xref ref-type="bibr" rid="ref107">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>). Certain members of this family have been shown to be induced during interactions with host plants indicating their roles as putative effector proteins (<xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>). A role of CFEM-containing proteins in fungal pathogenesis has been demonstrated in the plant pathogenic fungi <italic>Botrytis cinerea</italic>, <italic>Magnaporthe oryzae</italic>, and <italic>Colletotrichum graminicola</italic> (<xref ref-type="bibr" rid="ref55">Kou et al., 2017</xref>; <xref ref-type="bibr" rid="ref109">Zhu et al., 2017</xref>; <xref ref-type="bibr" rid="ref37">Gong et al., 2020</xref>).</p>
<p><italic>Clonostachys</italic> spp. including <italic>C. rosea</italic>, <italic>C. byssicola</italic>, <italic>C. chloroleuca</italic>, <italic>C. rhizophaga</italic> and <italic>C. solani</italic>, are filamentous ascomycetes fungi with a multi-trophic mode of lifestyle. These fungi can be found as saprotrophs in various ecological niches including soil and dead organic matter (<xref ref-type="bibr" rid="ref72">Moreira et al., 2016</xref>; <xref ref-type="bibr" rid="ref46">Jensen et al., 2021</xref>). Certain species can thrive in rhizospheres where they can colonize the plant root surfaces and establish a beneficial relationship with the plant host as endophytes (<xref ref-type="bibr" rid="ref96">Sutton et al., 2002</xref>; <xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref87">Saraiva et al., 2015</xref>; <xref ref-type="bibr" rid="ref64">Maillard et al., 2020</xref>; <xref ref-type="bibr" rid="ref46">Jensen et al., 2021</xref>). In addition, these species can live as necrotrophic mycoparasites by killing and feeding on their mycohosts (<xref ref-type="bibr" rid="ref3">Alvindia and Natsuaki, 2008</xref>; <xref ref-type="bibr" rid="ref27">Dugan et al., 2012</xref>; <xref ref-type="bibr" rid="ref95">Sun et al., 2018</xref>; <xref ref-type="bibr" rid="ref46">Jensen et al., 2021</xref>). The antagonistic ability of certain strains of <italic>C. rosea</italic> against plant parasitic nematodes has also been reported (<xref ref-type="bibr" rid="ref44">Iqbal et al., 2018a</xref>,<xref ref-type="bibr" rid="ref45">b</xref>, <xref ref-type="bibr" rid="ref43">2020</xref>). To succeed in these distinct ecological niches, <italic>Clonostachys</italic> spp. have evolved capabilities for decomposition of organic materials, competition with other microorganisms for nutrients and space in soil and rhizosphere, and interference competition through antibiosis and mycoparasitism (<xref ref-type="bibr" rid="ref70">Morandi et al., 2000</xref>; <xref ref-type="bibr" rid="ref61">Li et al., 2002</xref>; <xref ref-type="bibr" rid="ref87">Saraiva et al., 2015</xref>; <xref ref-type="bibr" rid="ref94">Sun et al., 2017</xref>; <xref ref-type="bibr" rid="ref30">Fatema et al., 2018</xref>). Due to these properties, certain <italic>Clonostachys</italic> strains are used as efficient biological control agents against fungal plant diseases in agricultural and horticultural production systems (<xref ref-type="bibr" rid="ref47">Jensen et al., 2000</xref>; <xref ref-type="bibr" rid="ref96">Sutton et al., 2002</xref>; <xref ref-type="bibr" rid="ref105">Xue et al., 2008</xref>; <xref ref-type="bibr" rid="ref16">Cota et al., 2009</xref>; <xref ref-type="bibr" rid="ref86">Salamone et al., 2018</xref>).</p>
<p>The ability of <italic>Clonostachys</italic> spp. to inhabit broad ecological niches is reflected by their genomic characteristics (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>). For example, copy number of genes coding for enzymes associated with biosynthesis of specialized metabolites such as polyketide synthases, non-ribosomal peptide synthetase and cytochrome P450 monooxygenases are expanded in <italic>C. rosea</italic> compared to plant pathogenic <italic>Fusarium</italic> spp. and mycoparasitic <italic>Trichoderma</italic> spp. (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>). Similarly, the ATP-binding cassette (ABC) and major facilitator superfamily (MFS) membrane transporter gene families, associated with efflux of endogenous and exogenous specialized metabolites, are also expanded (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>; <xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>). Among the CAZyme gene families, auxiliary activity (AA) family 9 lytic polysaccharide monooxygenases, AA7 gluco-and chitooligosaccharide oxidases, AA3 glucose-methanol-choline oxidoreductases, polysaccharide lyase family 1 (PL1) pectin/pectate lyases and certain proteases are also evolving under selection for increased gene copy numbers (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref7">Atanasova et al., 2018</xref>; <xref ref-type="bibr" rid="ref44">Iqbal et al., 2018a</xref>,<xref ref-type="bibr" rid="ref45">b</xref>; <xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>). However, analysis of gene family evolution of genes specifically coding for secreted proteins in <italic>Clonostachys</italic> is yet to be comprehensively investigated.</p>
<p>In this study, we performed prediction and in-depth analysis of the secretomes of six <italic>Clonostachys</italic> spp., including <italic>C. byssicola</italic>, <italic>C. chloroleuca</italic>, <italic>C. rhizophaga</italic>, <italic>C. rosea</italic>, <italic>C. solani</italic> and <italic>Clonostachys</italic> sp. CBS 192.96 with the hypothesis that the composition of <italic>Clonostachys</italic> spp. secreteome is shaped to accomplish their saprotrophic, mycotrophic and plant endophytic lifestyles. Our analysis was focused on predicted lipases, proteases, oxidoreductases, CAZymes, cysteine-rich SSPs, putative effectors and CFEM proteins and their possible roles in mycoparasitic and beneficial fungal-plant interactions. This revealed the presence of many proteins with a known role in antagonism against mycohosts and nematodes, including chitinases, endopolygalacturonases, subtilisin-like peptidases and phospholipases A. Moreover, several enzyme classes including hemicellulose and cellulose degradation enzymes, SSPs and effectors with putative role in fungus-plant interactions were identified.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1.</label>
<title>Prediction of fungal secretomes</title>
<p>Based on the genome sequences of <italic>C. rosea</italic> IK726 (Genbank: GCA_902827195.2), <italic>C. byssicola</italic> CBS 245.78 (GCA_902006505.2), <italic>C. chloroleuca</italic> CBS 570.77 (GCA_902074915.2), <italic>C. rhizophaga</italic> CBS 906.72A (GCA_902077795.2), <italic>C. solani</italic> 1703 (GCA_902141235.2) and <italic>Clonostachys</italic> sp. CBS 192.96 (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref10">Broberg et al., 2018</xref>, <xref ref-type="bibr" rid="ref9">2021</xref>; <xref rid="SM6" ref-type="supplementary-material">Supplementary file 1</xref>), the predicted secretomes were generated using procedures described previously (<xref ref-type="bibr" rid="ref34">Gogleva et al., 2018</xref>). In short, SignalP ver. 4.0 (<xref ref-type="bibr" rid="ref78">Petersen et al., 2011</xref>) was used to predict secretion signal peptides, while proteins with transmembrane domains were identified with TMHMM ver. 2 (<xref ref-type="bibr" rid="ref57">Krogh et al., 2001</xref>). TargetP ver. 2 (<xref ref-type="bibr" rid="ref5">Armenteros et al., 2019</xref>) was used to identify proteins putatively targeted to mitochondria, while PredGPI (<xref ref-type="bibr" rid="ref79">Pierleoni et al., 2008</xref>) was used to predict proteins with a glycosylphosphatidylinositol (GPI) anchor. The complete bash script is available as <xref rid="SM6" ref-type="supplementary-material">Supplementary file 2</xref>. Proteins with predicted signal peptides but lacking transmembrane domains, GPI anchors or mitochondrial targeting signatures, were considered to be secreted. OrthoFinder ver. 2.5.2 (<xref ref-type="bibr" rid="ref28">Emms and Kelly, 2019</xref>) was used to identify orthogroups of the secreted proteins. For comparative purposes, secretome prediction and InterProScan annotation was performed on the genomes of <italic>Neurospora crassa</italic> OR74A (GCA_000182925.2), <italic>T. atroviride</italic> IMI 206040 (GCA_000171015.2), <italic>T. reesei</italic> QM6a (GCA_000167675.2 v2.0), <italic>T. virens</italic> Gv29-8 (GCA_000170995.2), <italic>F. graminearum</italic> PH-1 (GCA_000240135.3), <italic>F. verticillioides</italic> 7600 (GCA_000149555.1) and <italic>F. vanetteni</italic> 77&#x2013;13-4 (<xref ref-type="bibr" rid="ref15">Coleman et al., 2009</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Functional annotation and gene ontology enrichment analyses</title>
<p>Gene ontology (GO) enrichment analyses were performed using the agriGO toolkit (<xref ref-type="bibr" rid="ref98">Tian et al., 2017</xref>) with the Fisher statistical test and maximum adjusted <italic>p</italic>-value of 0.05. The FDR adjustment method was used to adjust the <italic>p</italic>-value. The GO annotation for the proteome of <italic>C. rosea</italic> was obtained from a previous study (<xref ref-type="bibr" rid="ref80">Piombo et al., 2021</xref>).</p>
<p>The composition of the <italic>Clonostachys</italic> secretomes was analyzed with focus on predicted proteases, lipases, CAZymes, oxidoreductases, cysteine rich proteins and effectors, due to their potential role in environmental interactions. InterProScan v. 5.46&#x2013;81 (<xref ref-type="bibr" rid="ref48">Jones et al., 2014</xref>) was used to predict modules in the proteomes, and lipases, oxidoreductases and proteases were specifically identified based on the presence of InterProScan modules. Lipases and oxidoreductases were further classified in classes depending on the type of detected module, while proteases were classified according to the Merops database (<xref ref-type="bibr" rid="ref83">Rawlings et al., 2010</xref>), using the BLAST algorithm (<xref ref-type="bibr" rid="ref2">Altschul et al., 1990</xref>). EffectorP 3.0 was used to predict putative effectors (<xref ref-type="bibr" rid="ref91">Sperschneider and Dodds, 2021</xref>), and the dbCAN meta server was used to predict CAZymes using both the HMMER and DIAMOND tools (<xref ref-type="bibr" rid="ref11">Buchfink et al., 2015</xref>; <xref ref-type="bibr" rid="ref108">Zhang et al., 2018</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>CFEM identification and analysis</title>
<p>Proteins predicted to contain CFEM modules using InterProScan v. 5.46&#x2013;81 (<xref ref-type="bibr" rid="ref48">Jones et al., 2014</xref>) were considered to be CFEM proteins. For phylogenetic analysis, CFEM proteins were aligned with mafft v.7.453 in E-INS-I mode, suggested for sequences containing large unalignable regions (<xref ref-type="bibr" rid="ref51">Katoh and Standley, 2013</xref>), and the phylogenetic trees were generated with iqtree v.2.1.3 (<xref ref-type="bibr" rid="ref74">Nguyen et al., 2015</xref>) with 500 bootstrap replicates and the option &#x201C;MFP&#x201D; (ModelFinder) to find the best substitution model. Visualization was carried out with Figtree v.1.4.4 (<xref ref-type="bibr" rid="ref81">Rambaut, 2018</xref>). The same programs were used for the phylogenetic analysis of the concatenated CFEM modules of each species, but mafft was used in L-INS-I mode, recommended when working with less than 200 sequences.</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>Study of gene family evolution</title>
<p>Computational analysis of gene family evolution (CAFE) v.5 (<xref ref-type="bibr" rid="ref67">Mendes et al., 2020</xref>) was used to estimate accelerated rates of gene gain or loss, associated with lineages. The significance threshold was set at 0.05. The phylogenetic tree necessary for CAFE analysis was obtained as described in <xref ref-type="bibr" rid="ref9">Broberg et al. (2021)</xref>, using concatenated gene sequences of ATP citrate lyase (<italic>acl1</italic>), RNA polymerase II large subunit (<italic>rpb1</italic>), translation elongation factor 1-&#x03B1; (<italic>tef1</italic>) and &#x03B2;-tubulin (<italic>tub</italic>) for the considered species.</p>
</sec>
<sec id="sec7">
<label>2.5.</label>
<title>Mining of gene expression data</title>
<p>To investigate transcriptional regulation of genes coding for secreted proteins, differentially expressed genes of <italic>C. rosea</italic> interacting with the mycohosts <italic>Botrytis cinerea</italic>, <italic>F. graminearum</italic> and <italic>Helminthoisporum solani</italic> were retrieved from four previously published studies (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>; <xref ref-type="bibr" rid="ref19">Demissie et al., 2018</xref>, <xref ref-type="bibr" rid="ref20">2020</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>). When the studies used different version of the <italic>C. rosea</italic> genome, proteins from different versions were considered the same if they had a match in a BLAST analysis with 90% minimum identity and query coverage. Each proteome was used as both query and database for the BLAST analyses, and only proteins with a match in both database-query combinations were accepted.</p>
</sec>
</sec>
<sec id="sec8" sec-type="results">
<label>3.</label>
<title>Results</title>
<sec id="sec9">
<label>3.1.</label>
<title>Prediction of <italic>Clonostachys</italic> secretomes and mining of gene expression data</title>
<p>The secretomes of six <italic>Clonostachys</italic> spp. was predicted to contain 1,428 to 1,498 proteins, amounting to between 7.1% (<italic>C</italic>. <italic>rosea</italic>) and 8.0% (<italic>C</italic>. <italic>byssicola</italic>) of their proteomes (<xref rid="tab1" ref-type="table">Table 1</xref>; <xref rid="SM6" ref-type="supplementary-material">Supplementary file 3</xref>). In the considered <italic>Trichoderma</italic> spp., the proportion of secreted proteins in their predicted secretomes accounted for 4.9% in <italic>T. reesei</italic> to 5.6% in <italic>T. atroviride</italic>. More than 85% of the <italic>Clonostachys</italic> spp. secreted proteins were less than 600 aa in length (<xref rid="fig1" ref-type="fig">Figure 1</xref>), among which a majority of proteins (56%) were 100&#x2013;400 aa in length with the highest proportion (around 12%) at 350&#x2013;400 aa. No differences were found in proportion and length distribution of secreted proteins between the analyzed <italic>Clonostachys</italic> species. Mining of available RNA-seq data (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>; <xref ref-type="bibr" rid="ref19">Demissie et al., 2018</xref>, <xref ref-type="bibr" rid="ref20">2020</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>) identified 274 genes upregulated in <italic>C. rosea</italic> during interaction with the mycohosts <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="fig2" ref-type="fig">Figure 2</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Summary of predicted secretomes in the <italic>Clonostachys</italic> spp.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>C. bys</italic></th>
<th align="center" valign="top"><italic>C. chl</italic></th>
<th align="center" valign="top"><italic>Clono</italic> sp.</th>
<th align="center" valign="top"><italic>C. rhi</italic></th>
<th align="center" valign="top"><italic>C. ros</italic></th>
<th align="center" valign="top"><italic>C. sol</italic></th>
<th align="center" valign="top"><italic>T. atr</italic></th>
<th align="center" valign="top"><italic>T. ree</italic></th>
<th align="center" valign="top"><italic>T. vir</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Proteome</td>
<td align="center" valign="top">18,541</td>
<td align="center" valign="top">19,658</td>
<td align="center" valign="top">18,459</td>
<td align="center" valign="top">18,962</td>
<td align="center" valign="top">21,246</td>
<td align="center" valign="top">18,093</td>
<td align="center" valign="top">11,816</td>
<td align="center" valign="top">9,111</td>
<td align="center" valign="top">12,406</td>
</tr>
<tr>
<td align="left" valign="top">GPI anchors</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">164</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">173</td>
<td align="center" valign="top">175</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">93</td>
</tr>
<tr>
<td align="left" valign="top">Secretome</td>
<td align="center" valign="top">1,475 (7.96%)</td>
<td align="center" valign="top">1,495 (7.61%)</td>
<td align="center" valign="top">1,428 (7.74%)</td>
<td align="center" valign="top">1,467 (7.74%)</td>
<td align="center" valign="top">1,498 (7.05%)</td>
<td align="center" valign="top">1,435 (7.93%)</td>
<td align="center" valign="top">664 (5.62%)</td>
<td align="center" valign="top">449 (4.93%)</td>
<td align="center" valign="top">667 (5.38%)</td>
</tr>
<tr>
<td align="left" valign="top">Proteases</td>
<td align="center" valign="top">196</td>
<td align="center" valign="top">187</td>
<td align="center" valign="top">192</td>
<td align="center" valign="top">195</td>
<td align="center" valign="top">191</td>
<td align="center" valign="top">193</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">54</td>
</tr>
<tr>
<td align="left" valign="top">Lipases</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">CAZymes</td>
<td align="center" valign="top">445</td>
<td align="center" valign="top">459</td>
<td align="center" valign="top">434</td>
<td align="center" valign="top">453</td>
<td align="center" valign="top">444</td>
<td align="center" valign="top">428</td>
<td align="center" valign="top">228</td>
<td align="center" valign="top">153</td>
<td align="center" valign="top">214</td>
</tr>
<tr>
<td align="left" valign="top">Cysteine-enriched secreted proteins</td>
<td align="center" valign="top">126</td>
<td align="center" valign="top">148</td>
<td align="center" valign="top">124</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">121</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">88</td>
</tr>
<tr>
<td align="left" valign="top">Oxidoreducteses</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">Effectors</td>
<td align="center" valign="top">517</td>
<td align="center" valign="top">560</td>
<td align="center" valign="top">510</td>
<td align="center" valign="top">517</td>
<td align="center" valign="top">530</td>
<td align="center" valign="top">500</td>
<td align="center" valign="top">262</td>
<td align="center" valign="top">154</td>
<td align="center" valign="top">260</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">602</td>
<td align="center" valign="top">607</td>
<td align="center" valign="top">578</td>
<td align="center" valign="top">592</td>
<td align="center" valign="top">656</td>
<td align="center" valign="top">599</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">128</td>
<td align="center" valign="top">190</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Species abbreviations: <italic>C. bys</italic>, <italic>Clonostachys byssicola</italic>; <italic>C. chl</italic>, <italic>Clonostachys chloroleuca</italic>; <italic>Clono</italic> sp., <italic>Clonostachys</italic> sp. <italic>CBS 192.96</italic>; <italic>C. rhi</italic>, <italic>Clonostachys rhizophaga</italic>; <italic>C. ros</italic>, <italic>Clonostachys rosea</italic>; <italic>C. sol</italic>, <italic>Clonostachys solani</italic>; <italic>T. atr</italic>, <italic>Trichoderma atroviride</italic>; <italic>T. ree</italic>, <italic>Trichoderma reesei</italic>; <italic>T. vir</italic>, <italic>Trichoderma virens</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Number of <italic>C. rosea</italic> transcripts, coding for secreted proteins, upregulated during contact with <italic>H. solani</italic> and/or <italic>F. graminearum</italic>. The numbers are shown for CAZymes, proteases, lipases, oxidoreductases, cysteine enriched proteins and effectors. The gene expression data was retrieved from previously performed transcriptome analysis of <italic>C. rosea</italic> during interactions with <italic>H. solani</italic> or <italic>F.</italic> graminearum (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>; <xref ref-type="bibr" rid="ref19">Demissie et al., 2018</xref>, <xref ref-type="bibr" rid="ref20">2020</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>).</p></caption>
<graphic xlink:href="fmicb-14-1112673-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Size distribution of <italic>Clonostachys</italic> predicted secretomes.</p></caption>
<graphic xlink:href="fmicb-14-1112673-g002.tif"/>
</fig>
</sec>
<sec id="sec10">
<label>3.2.</label>
<title>Gene ontology enrichment analysis of predicted <italic>Clonostachys</italic> secretomes</title>
<p>GO enrichment analysis based on the annotated <italic>C. rosea</italic> proteome (<xref ref-type="bibr" rid="ref80">Piombo et al., 2021</xref>) revealed that 57 biological processes were enriched (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in the <italic>C. rosea</italic> secretome in respect to the rest of the proteome (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The analysis was run on the proteome of <italic>C. rosea</italic> as it had the best available functional annotation among the considered <italic>Clonostachys</italic> spp., and had underwent multiple functional analyses in previous studies (<xref ref-type="bibr" rid="ref10">Broberg et al., 2018</xref>, <xref ref-type="bibr" rid="ref9">2021</xref>; <xref ref-type="bibr" rid="ref80">Piombo et al., 2021</xref>). The majority of the enriched biological processes were related to metabolic and catabolic activity on several compounds including carbohydrates, proteins and lipids. The terms response to fungus (GO: 0009620), defense response to fungus (GO: 0050832), cell wall organization (GO: 0071555), cell wall organization or biogenesis (GO: 0071554) were also enriched (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Biological processes enriched in the secretome predicted for <italic>C. rosea</italic>. Figure generated with revigo (<xref ref-type="bibr" rid="ref300">Supek et al., 2011</xref>).</p></caption>
<graphic xlink:href="fmicb-14-1112673-g003.tif"/>
</fig>
</sec>
<sec id="sec11">
<label>3.3.</label>
<title>Composition of predicted <italic>Clonostachys</italic> secretomes</title>
<sec id="sec12">
<label>3.3.1.</label>
<title>Carbohydrate-active enzymes</title>
<p>A large number of CAZymes (428&#x2013;459 genes) comprising 30% of the secretomes on average, were detected in the <italic>Clonostachys</italic> species. The percentage of CAZymes in <italic>Clonostachys</italic> spp. was lower compared to the predicted proportion of 30 to 35% in the considered <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). The highest number of predicted CAZymes in <italic>Clonostachys</italic> spp. were classified as GH43 (arabinofuranosidases, arabinases and xylosidases), followed by AA7 (glucooligosaccharide oxidases), AA9 (lytic polysaccharide monooxygenases), AA3 (glucose-methanol-choline oxidoreductases), GH5 (hydrolases with many substrates) and GH28 (polygalacturonases) (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). The number of detected GH18 chitinases was between six and nine, while three or four GH20 N-acetylglucosaminidases were identified (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
<p>CAFE analysis identified ten CAZyme families evolving for gene gains or losses (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in the <italic>Clonostachys</italic> spp. (<xref rid="tab2" ref-type="table">Table 2</xref>). These included different classes of enzymes degrading cellulose, glucan, xylan, trehalose and other components of the fungal and plant cell wall, including AA9, GH3, GH15, GH16, GH31 and GH78 (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.037). The highest number of secreted CAZyme families (five families) evolving for gene gains were identified in <italic>C. chloroleuca</italic> followed by three families in <italic>C</italic>. <italic>rosea</italic> (<xref rid="tab2" ref-type="table">Table 2</xref>). Intriguingly, only GH15 was evolving for gene gains or losses in <italic>Clonostachys</italic> sp. CBS 192.96, with a significant (<italic>p</italic>&#x2009;=&#x2009;0.001) decrease from five genes in the ancestral species to one gene in <italic>Clonostachys.</italic> sp. CBS 192.96. Conversely, only family AA9 was evolving for gene gains or losses in <italic>C. solani</italic>, with a decrease from 24 to 16 genes compared with the ancestral lineage (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Mining of gene expression data also revealed that family AA9 was the most represented class by far among the CAZymes significantly upregulated in <italic>C. rosea</italic> during the interaction with <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>), with 12 out of 111 upregulated CAZymes belonging to this class, followed by GH7, GH12 and GH28 with 5 members each.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Gene numbers in gene families evolving for gene gains in <italic>Clonostachys</italic> spp.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Gene family<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="left" valign="top">Description</th>
<th align="center" valign="top"><italic>C. bys</italic></th>
<th align="center" valign="top"><italic>C. chl</italic></th>
<th align="center" valign="top"><italic>Clono</italic> sp.</th>
<th align="center" valign="top"><italic>C. rhi</italic></th>
<th align="center" valign="top"><italic>C. ros</italic></th>
<th align="center" valign="top"><italic>C. sol</italic></th>
<th align="center" valign="top">Ancestor sp.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">AA7</td>
<td align="left" valign="top">Glucooligosaccharide oxidase</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">27</td>
</tr>
<tr>
<td align="left" valign="top">AA9</td>
<td align="left" valign="top">Lytic polysaccharide monooxygenase</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">24</td>
</tr>
<tr>
<td align="left" valign="top">AA1</td>
<td align="left" valign="top">Multicopper oxidases</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">CE1</td>
<td align="left" valign="top">Esterase (variable substrates)</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">GH15</td>
<td align="left" valign="top">Glucoamylase, trehalase</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">GH16</td>
<td align="left" valign="top">Glucanase, xylanase</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">GH3</td>
<td align="left" valign="top">Glucanase, xylanase</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">13</td>
</tr>
<tr>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Glucosidase, galactosidase</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">GH39</td>
<td align="left" valign="top">Variable substrate</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">GH78</td>
<td align="left" valign="top">&#x03B1;-L-rhamnosidase</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">Lipase 3</td>
<td align="left" valign="top">Lipase</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">GDSL Esteraselipase EXL3</td>
<td align="left" valign="top">Lipase</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">S10</td>
<td align="left" valign="top">Serine carboxypeptidase</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">M43B</td>
<td align="left" valign="top">Carboxypeptidase</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">S33</td>
<td align="left" valign="top">Serine protease</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>C. bys, Clonostachys byssicola</italic>; <italic>C. chl</italic>, <italic>Clonostachys chloroleuca</italic>; <italic>Clono</italic> sp., <italic>Clonostachys</italic> sp. <italic>CBS192.96</italic>; <italic>C. rhi</italic>, <italic>Clonostachys rhizophaga</italic>; <italic>C. ros</italic>, <italic>Clonostachys rosea</italic>; <italic>C. sol</italic>, <italic>Clonostachys solani</italic>.</p>
<p>Gene numbers boxed in black indicates a significant (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) expansion, while gene numbers boxed in grey indicates a significant (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) contraction of gene family size compared with the most recent ancestor (<xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>).</p>
<p>A cut-off value of 5 genes was used to determine the gene family evolving for gene gains.</p>
<fn id="tfn1"><label>a</label><p>Carbohydrate-active enzyme gene family classification is based on dbCAN meta server, protease gene family classification is based on merops database. Lipase gene family classification is based on InterProScan analysis.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.3.2.</label>
<title>Proteases, lipases, and oxidoreductases</title>
<p>On average 12% of the <italic>Clonostachys</italic> secretomes (187&#x2013;196 genes) were classified as proteases of several Merops classifications (<xref ref-type="bibr" rid="ref200">Rawlings et al., 2012</xref>; <xref rid="tab1" ref-type="table">Table 1</xref>), while only around 8.5% of the secretome (41&#x2013;54 genes) was comprised of proteases in <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). The dominant groups in <italic>Clonostachys</italic> spp. were serine proteases (S8A serine endopeptidase subtilisins, S33 serine proteasesand S1A chymotrypsins), carboxypeptidases (M14A) and metallo-endopeptidases (M43B), all families with many more members in <italic>Clonostachys</italic> spp. than in <italic>Trichoderma</italic> spp. (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). Gene family evolution analysis identified three protease families (S10, S33 and M43B) as evolving for gene gains or losses in the considered <italic>Clonostachys</italic> spp. (<xref rid="tab2" ref-type="table">Table 2</xref>). The S10 serine carboxypeptidase gene family was significantly (<italic>p</italic>&#x2009;=&#x2009;0.004) expanded from four to seven genes in <italic>C</italic>. <italic>byssicola</italic>, while subfamily M43B was significantly contracted in <italic>C. chloroleuca</italic> (<italic>p</italic>&#x2009;=&#x2009;0.004) compared to the number in the ancestral species, while family S33 was expanded in <italic>C. rhizophaga</italic> and contracted in <italic>C. solani</italic> (<xref rid="tab2" ref-type="table">Table 2</xref>). Among the 191 secreted proteases identified in <italic>C. rosea</italic>, 46 were upregulated during the interactions with <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="fig2" ref-type="fig">Figure 2</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>). The most frequent classes in this subgroup were serine endopeptidases of family S8A and S1A, with six genes each.</p>
<p>Predicted lipases amounted to 3.8% of the total secretomes on average in <italic>Clonostachys</italic> spp., but only 1.7% in <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). The most represented groups in <italic>Clonostachys</italic> spp. were phospholipases A2, lipases 5, lysophospholipases L1 and the GDSL-like Lipase/Acylhydrolase family (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). Lipases 3 and GDSL esteraselipase exl3 were predicted to be evolving for gene gains. The gene copy number of the lipases 3 gene family was expanded in <italic>C. rhizophaga</italic> (<italic>p</italic>&#x2009;=&#x2009;0.001) and contracted (<italic>p</italic>&#x2009;=&#x2009;0.013) in <italic>C. rosea</italic>, while the gene copy number of the GDSL esteraselipase exl3 gene family was expanded (<italic>p</italic>&#x2009;=&#x2009;0.001) in <italic>C. chloroleuca</italic> but contracted (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.031) in <italic>C. rhizophaga</italic> and <italic>C. rosea</italic> (<xref rid="tab2" ref-type="table">Table 2</xref>). Seven lipase encoding genes were significantly upregulated in <italic>C. rosea</italic> during the interactions with <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="fig1" ref-type="fig">Figure 1</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>).</p>
<p>Numerous predicted oxidoreductases were detected in the <italic>Clonostachys</italic> secretomes, ranging from 62 in <italic>C. byssicola</italic> to 53 in <italic>C. rosea</italic> and <italic>Clonostachys</italic> sp. CBS 192.96. This amounted to 3.8% of the secretome on average, against the 1.3% in <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). The most represented class was the AA3 glucose-methanol-choline oxidoreductases, which amounted to around one third of the total in all the considered <italic>Clonostachys</italic> species. The second most frequent family in <italic>Clonostachys</italic> spp. was the flavin-containing amine oxidoreductases, which varied from 10 genes in <italic>C. chloroleuca</italic> to six genes in <italic>C. rosea</italic> (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). Three oxidoreductase encoding genes were upregulated in <italic>C. rosea</italic> during the interactions with <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="fig1" ref-type="fig">Figure 1</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>).</p>
</sec>
<sec id="sec14">
<label>3.3.3.</label>
<title>Cysteine-enriched proteins and effectors</title>
<p>On average, 8.5% of the secretomes (118 out of 1478 proteins) consisted of proteins shorter than 300 aa and with more than 4% of cysteine residues and were considered cysteine-enriched. Conversely, at least 11.5% of secreted proteins were classified as cysteine-enriched in all <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). The GO enrichment analysis of cysteine-enriched proteins showed enrichment (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in molecular functions related to lytic activity, specifically carbon&#x2013;oxygen lyase activity (GO:0016835), carbon&#x2013;oxygen lyase activity acting on polysaccharides (GO:0016837), pectate lyase activity (GO:0030570) and lyase activity (GO:0016829).</p>
<p>More than one third of the secretomes (500 of 563 proteins, 36% on average) consisted of putative effectors, while this amount was on average 40% in <italic>Trichoderma</italic> spp. (<xref rid="tab1" ref-type="table">Table 1</xref>). However, less than half of the detected effectors contained a known InterProScan amino acidic motif, while the rest was uncharacterized. Several known effector classes already identified in <italic>Trichoderma</italic> spp. (<xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>) such as serine proteases, metalloproteases, LysM proteins, cerato-platanins, thioredoxins and CFEM proteins, were detected among the predicted effectors in <italic>Clonostachys</italic> spp. (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>). Gene expression analysis identified 88 <italic>C. rosea</italic> effector genes to be induced in response to <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="fig2" ref-type="fig">Figure 2</xref>; <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>). Predicted effector proteins were enriched (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in GO terms related to cell wall degradation and penetration in plant tissues, including cellulase activity (GO:0008810), pectate lyase activity (GO:0030570) and polysaccharide catabolic process (GO:0000272), but also in GO terms referring to transport and localization of lipids and acids, such as acid secretion (GO:0046717) and lipid transport (GO:0006869) (<xref rid="fig4" ref-type="fig">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Biological processes <bold>(A)</bold> and molecular functions <bold>(B)</bold> enriched in the predicted effectors, compared with the rest of the <italic>C. rosea</italic> secretome. Figure generated with Revigo (<xref ref-type="bibr" rid="ref300">Supek et al., 2011</xref>).</p></caption>
<graphic xlink:href="fmicb-14-1112673-g004.tif"/>
</fig>
<p>Between 93% (<italic>Clonostachys</italic> sp. CBS 192.96) and 98% (<italic>C. rhizophaga</italic>) of the cysteine-enriched secreted proteins were also predicted to be effectors (<xref rid="SM5" ref-type="supplementary-material">Supplementary Figure S1</xref>). One particular class of cysteine-enriched proteins was hydrophobins, where <italic>C. chloroleuca</italic> had the highest number of secreted proteins (11 proteins) among the analyzed species, followed by <italic>C. rosea</italic> with six proteins and <italic>C. solani</italic> with three predicted secreted hydrophobins (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
</sec>
</sec>
<sec id="sec15">
<label>3.4.</label>
<title>Analysis of evolution of gene family composition</title>
<p>An orthofinder analysis grouped the genes encoding predicted secreted proteins of the <italic>Clonostachys</italic> spp. into 1,547 orthogroups, of which 816 contained at least one gene from each included species (<xref rid="SM3" ref-type="supplementary-material">Supplementary Table S3</xref>). CAFE analysis identified a total of 38 orthogroups (involving 74 genes) evolving for gene gains (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) (<xref rid="tab3" ref-type="table">Table 3</xref>). Twenty-one orthogroups were found to consist of 37 <italic>C. rosea genes</italic> coding for various families of glycosyl hydrolases. Among those, eight predicted proteins contained additional carbohydrate-binding modules (CBMs) and 13 were found to be differentially expressed during interspecific interaction with <italic>F. gramineaum</italic> or <italic>H. solani</italic> (<xref rid="tab3" ref-type="table">Table 3</xref>). Seven orthogroups containing 15 <italic>C. rosea</italic> genes were predicted to encode various families of proteases including cuticle-degrading proteases, serine-type endopeptidases, subtilisin-like proteases and metallocarboxypeptidases. Orthogroup OG0000107 contained aspartyl proteases, a class involved in the response to both fungi and plants in <italic>Trichoderma</italic> spp. (<xref ref-type="bibr" rid="ref103">Viterbo et al., 2004</xref>; <xref ref-type="bibr" rid="ref56">Kredics et al., 2005</xref>; <xref rid="tab3" ref-type="table">Table 3</xref>). Furthermore, nine orthogroups composed of 16 putative <italic>C. rosea</italic> effectors were identified, of which seven were found to be induced in response to <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Orthogroups evolving for gene gains predicted by Orthofinder v. 2.5.2 in <italic>Clonostachys</italic> secretomes.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Orthogroup<xref rid="tfn2" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" valign="top">Value of <italic>p</italic></th>
<th align="left" valign="top">Transcript</th>
<th align="left" valign="top">Annotation</th>
<th align="left" valign="top">Predicted function</th>
<th align="left" valign="top">Expression<xref rid="tfn3" ref-type="table-fn"><sup>b</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">OG0000001</td>
<td align="left" valign="top">0.027</td>
<td align="left" valign="top">CRV2T00017963_1</td>
<td/>
<td align="left" valign="top">Cuticle-degrading protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.027</td>
<td align="left" valign="top">CRV2T00016760_1</td>
<td/>
<td align="left" valign="top">Serine-type endopeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.027</td>
<td align="left" valign="top">CRV2T00016723_1</td>
<td/>
<td align="left" valign="top">Subtilisin-like protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000005</td>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00004568_1</td>
<td align="left" valign="top">GH28</td>
<td align="left" valign="top">Hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00002418_1</td>
<td align="left" valign="top">GH28</td>
<td align="left" valign="top">Polygalacturonase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">OG0000014</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00003403_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Cellulose binding protein</td>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00020679_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Cellulose binding protein</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00022039_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Cellulose binding protein</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00022042_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Cellulose binding protein</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00013751_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000016</td>
<td align="left" valign="top">0.045</td>
<td align="left" valign="top">CRV2T00013015_1</td>
<td align="left" valign="top">GH54&#x2009;+&#x2009;CBM13&#x2009;+&#x2009;CBM42</td>
<td align="left" valign="top">Arabinofuranosidase</td>
<td align="left" valign="top"><italic>F. graminearum, H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.045</td>
<td align="left" valign="top">CRV2T00015338_1</td>
<td align="left" valign="top">GH54&#x2009;+&#x2009;CBM13&#x2009;+&#x2009;CBM42 Predicted effector</td>
<td align="left" valign="top">Arabinofuranosidase</td>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000018</td>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">CRV2T00007061_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">CRV2T00013113_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">CRV2T00017144_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000022</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">CRV2T00010462_1</td>
<td align="left" valign="top">GH2</td>
<td align="left" valign="top">Beta-galactosidase</td>
<td align="left" valign="top"><italic>F. graminearum, H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">OG0000023</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">CRV2T00008810_1</td>
<td/>
<td align="left" valign="top">Serine-type carboxypeptidase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">OG0000024</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">CRV2T00000095_1</td>
<td align="left" valign="top">GH12 Predicted effector</td>
<td align="left" valign="top">Cellulolytic endoglucanase</td>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
</tr>
<tr>
<td align="left" valign="top">OG0000029</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00011057_1</td>
<td align="left" valign="top">CE5&#x2009;+&#x2009;CBM1 Predicted effector</td>
<td align="left" valign="top">Esterase precursor protein</td>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000057</td>
<td align="left" valign="top">0.017</td>
<td align="left" valign="top">CRV2T00004531_1</td>
<td align="left" valign="top">GH43_14</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.017</td>
<td align="left" valign="top">CRV2T00004861_1</td>
<td align="left" valign="top">GH43_14</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000058</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">CRV2T00001563_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Phospholipase A2</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">CRV2T00008733_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Phospholipase A2</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000064</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00008520_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00009927_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00019139_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000065</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00015284_1</td>
<td align="left" valign="top">GH3&#x2009;+&#x2009;CBM1</td>
<td align="left" valign="top">Beta-glucosidase L-like protein</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">OG0000078</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">CRV2T00012764_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000079</td>
<td align="left" valign="top">0.006</td>
<td align="left" valign="top">CRV2T00011370_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000080</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00011463_1</td>
<td align="left" valign="top">AA9&#x2009;+&#x2009;CBM1 Predicted effector</td>
<td align="left" valign="top">Cellulose binding protein</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000085</td>
<td align="left" valign="top">0.036</td>
<td align="left" valign="top">CRV2T00017150_1</td>
<td/>
<td align="left" valign="top">Serine-type carboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">OG0000087</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00017010_1</td>
<td align="left" valign="top">GH39</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00017011_1</td>
<td align="left" valign="top">GH39</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00018900_1</td>
<td align="left" valign="top">GH39</td>
<td align="left" valign="top">Glicoside hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00003298_1</td>
<td/>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000091</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">CRV2T00011446_1</td>
<td/>
<td align="left" valign="top">Esterase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000092</td>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">CRV2T00014266_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Putative trypsin-like protease</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">CRV2T00017490_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Putative trypsin-like protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000097</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">CRV2T00000045_1</td>
<td align="left" valign="top">GH28</td>
<td align="left" valign="top">Exopolygalacturonase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000098</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00008696_1</td>
<td/>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00012828_1</td>
<td/>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00013615_1</td>
<td/>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000100</td>
<td align="left" valign="top">0.012</td>
<td align="left" valign="top">CRV2T00005946_1</td>
<td align="left" valign="top">GH95</td>
<td align="left" valign="top">Alpha-fucosidase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000105</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00011462_1</td>
<td align="left" valign="top">GH62&#x2009;+&#x2009;CBM1&#x2009;+&#x2009;CBM13</td>
<td align="left" valign="top">Arabinofuranosidase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00018642_1</td>
<td align="left" valign="top">GH62&#x2009;+&#x2009;CBM1&#x2009;+&#x2009;CBM13</td>
<td align="left" valign="top">Aarabinofuranosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000107</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00002649_1</td>
<td/>
<td align="left" valign="top">Aspartyl protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00009760_1</td>
<td/>
<td align="left" valign="top">Aspartyl protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000109</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00003747_1</td>
<td align="left" valign="top">GH35</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000112</td>
<td align="left" valign="top">0.008</td>
<td align="left" valign="top">CRV2T00014128_1</td>
<td/>
<td align="left" valign="top">Esterase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.008</td>
<td align="left" valign="top">CRV2T00018939_1</td>
<td/>
<td align="left" valign="top">Esterase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000113</td>
<td align="left" valign="top">0.02</td>
<td align="left" valign="top">CRV2T00016251_1</td>
<td align="left" valign="top">GH28 Predicted effector</td>
<td align="left" valign="top">Endopolygalacturonase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000114</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00016193_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021563_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021564_1</td>
<td align="left" valign="top">Predicted effector</td>
<td align="left" valign="top">Uncharacterized</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000118</td>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00018326_1</td>
<td align="left" valign="top">GH43&#x2009;+&#x2009;CBM35</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00021777_1</td>
<td align="left" valign="top">GH43&#x2009;+&#x2009;CBM35</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000119</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00018325_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Alpha/beta-glucosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021778_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Putative alpha-glucosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021772_1</td>
<td align="left" valign="top">GH31</td>
<td align="left" valign="top">Putative alpha-glucosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000122</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021100_1</td>
<td align="left" valign="top">GH3</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00001147_1</td>
<td align="left" valign="top">GH3&#x2009;+&#x2009;CBM1</td>
<td align="left" valign="top">Beta-glucosidase</td>
<td align="left" valign="top"><italic>H. solani</italic></td>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00021105_1</td>
<td align="left" valign="top">GH3&#x2009;+&#x2009;CBM1</td>
<td align="left" valign="top">Beta-glucosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000125</td>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00013725_1</td>
<td align="left" valign="top">GH35</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">CRV2T00012209_1</td>
<td align="left" valign="top">GH35</td>
<td align="left" valign="top">Putative beta-galactosidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000127</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00010811_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00020477_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">CRV2T00020478_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">OG0000137</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00017782_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00020443_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00020444_1</td>
<td/>
<td align="left" valign="top">Metallocarboxypeptidase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000193</td>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">CRV2T00010800_1</td>
<td align="left" valign="top">GH3&#x2009;+&#x2009;CBM1</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">OG0000205</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00017226_1</td>
<td align="left" valign="top">GH79</td>
<td align="left" valign="top">Glycosil hydrolase</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">OG0000217</td>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00004052_1</td>
<td/>
<td align="left" valign="top">Cuticle-degrading protease</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="left" valign="top">CRV2T00003815_1</td>
<td/>
<td align="left" valign="top">Serine-type endopeptidase</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2"><label>a</label><p>Orthogroups were selected using the cut-off of one gene as minimum average gene count per species.</p></fn>
<fn id="tfn3"><label>b</label><p>Over expressed <italic>C. rosea</italic> in response to <italic>F. graminearum</italic> or <italic>H. solani</italic> based on previous results from <xref ref-type="bibr" rid="ref20">Demissie et al. (2020)</xref> and <xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al. (2017)</xref>, respectively.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<label>3.5.</label>
<title>Identification and sequence analysis of CFEM proteins</title>
<p>Proteins with CFEM modules are considered to play an important role in fungi during interactions with other organisms (<xref ref-type="bibr" rid="ref92">Srivastava et al., 2014</xref>; <xref ref-type="bibr" rid="ref107">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="ref85">Sabnam and Barman, 2017</xref>; <xref ref-type="bibr" rid="ref6">Arya et al., 2020</xref>). The number of predicted CFEM proteins in <italic>Clonostachys</italic> varied from 21 in <italic>Clonostachys</italic> sp. CBS 192.96 to 32 in <italic>C. chloroleuca</italic>. However, the number of predicted secreted CFEM proteins ranged from only one in <italic>Clonostachys</italic> sp. CBS 192.96 to four in <italic>C. chloroleuca</italic> (<xref rid="tab4" ref-type="table">Table 4</xref>). The total number of predicted CFEM proteins in <italic>Clonostachys</italic> spp. (21&#x2013;32 genes) was higher compared with mycoparasitic <italic>T. atroviride</italic>, <italic>T. virens</italic> and <italic>T. reesei</italic> (14&#x2013;17 genes). However, the CFEM gene copy number in the plant pathogenic <italic>F. graminearum</italic>, <italic>F</italic>. <italic>verticillioides</italic> and <italic>F. vanetteni</italic> (18&#x2013;23 CFEM genes) was comparable to the number in <italic>Clonostachys</italic> spp. (<xref rid="tab4" ref-type="table">Table 4</xref>). The predicted subcellular localization of CFEM proteins was found to be similar between <italic>Clonostachys</italic> and <italic>Fusarium</italic> species, with around half of them being transmembrane proteins, 40% GPI-anchored and only 8% secreted. In contrast, <italic>Trichoderma</italic> spp. CFEMs were predicted to have a different subcellular localization pattern, with 32% transmembrane proteins, 38% GPI-anchored and 17% secreted (<xref rid="tab4" ref-type="table">Table 4</xref>). CFEM proteins may contain one or more copies of the CFEM module (<xref ref-type="bibr" rid="ref58">Kulkarni et al., 2003</xref>). A conserved domain analysis identified a single CFEM module present in each predicted protein in the considered <italic>Clonostachys</italic> spp., except for one protein in each species that had two modules (<xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>). Gene expression analysis identified seven genes coding for CFEM proteins in <italic>C. rosea</italic> that were upregulated in response to <italic>F. graminearum</italic> or <italic>H. solani</italic> (<xref rid="SM4" ref-type="supplementary-material">Supplementary Table S4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Number of proteins with CFEM domains found in the transmemebrane, GDP-anchored and secreted portion of the proteomes for each species of interest.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Species</th>
<th align="center" valign="top">Total CFEM</th>
<th align="center" valign="top">Transmembrane</th>
<th align="center" valign="top">GPI anchor</th>
<th align="center" valign="top">Secreted</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>C. rosea</italic></td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. byssicola</italic></td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. chloroleuca</italic></td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Clonostachys sp. 192.96</italic></td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. rhizophaga</italic></td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top"><italic>C. solani</italic></td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top"><italic>F. graminearum</italic></td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top"><italic>F. vanetteni</italic></td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top"><italic>F. verticillioides</italic></td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top"><italic>T. atroviride</italic></td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top"><italic>T. reesei</italic></td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top"><italic>T. virens</italic></td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top"><italic>N. crassa</italic></td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>An analysis with CAFE identified gene gains (<italic>p</italic>&#x2009;&#x2264;&#x2009;0.05) in the ancestral lineage leading to <italic>C. byssicola</italic>, <italic>C. chloroleuca</italic>, <italic>C. rhizophaga</italic> and <italic>C. rosea</italic>, followed by additional gains in <italic>C. chloroleuca</italic> and losses in <italic>C. rosea</italic> (<xref rid="fig5" ref-type="fig">Figure 5</xref>). A phylogenetic analysis of predicted CFEM proteins from <italic>Clonostachys</italic> spp. together with above-mentioned species of <italic>Trichoderma</italic>, <italic>Fusarium</italic> and <italic>N. crassa</italic> showed that the CFEM proteins of <italic>Clonostachys</italic> spp. typically clustered in monophyletic groups, indicating recent diversification, even though some of them were orthologous to CFEM proteins in <italic>Fusarium</italic> and <italic>Trichoderma</italic> species (<xref rid="fig6" ref-type="fig">Figure 6</xref>). The phylogenetic tree further displayed low resolution among the deeper branches, sometimes in combination with incongruence with the species phylogeny, which may suggest a birth-and-death evolutionary process in combination with sequence divergence. Among the predicted CFEM proteins, the branches containing <italic>C. rosea</italic> proteins CRV2T00010850_1, CRV2T00012038_1, CRV2T00008709_1, CRV2T00021845_1, CRV2T00018221_1, CRV2T00019286_1, CRV2T00016013_1 and CRV2T00014542_1 were expanded in the <italic>Clonostachys</italic> genus (<xref rid="fig6" ref-type="fig">Figure 6</xref>), and they either had transmembrane domains or a GPI-anchor.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Number of CFEM proteins gained or lost during the evolution of the considered species, mapped on a phylogenetic tree obtained in <xref ref-type="bibr" rid="ref9">Broberg et al. (2021)</xref>. Significant changes are marked with the asterisk.</p></caption>
<graphic xlink:href="fmicb-14-1112673-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption><p>Phylogenetic tree showing the evolutionary relationship between the CFEM proteins in the species of interest. Red lines indicate secreted proteins. Bootstraps value lesser than 70% were condensed. The tree was generated with iqtree v.1.6.12 and visualized with figtree v.1.4.4.</p></caption>
<graphic xlink:href="fmicb-14-1112673-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="sec17" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>The predicted secretomes of the considered <italic>Clonostachys</italic> spp. amount to 7.7% of their proteomes on average, more than what was predicted for <italic>Trichoderma</italic> spp. The secretomes comprise a similar number of predicted proteins in all the considered <italic>Clonostachys</italic> spp., with enriched GO terms relating to proteolysis, catabolism of carbohydrates and response to fungus. We therefore hypothesize a role of secreted proteins in nutrient acquisition and fungal antagonism, which correlates well with the fact that 18% of the <italic>C. rosea</italic> secreted proteins are encoded by genes that are differentially expressed during the response to plant pathogenic fungi (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>; <xref ref-type="bibr" rid="ref19">Demissie et al., 2018</xref>, <xref ref-type="bibr" rid="ref20">2020</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>). The proportionally higher number of proteases, lipases and oxidoreductases in <italic>Clonostachys</italic> spp., compared with <italic>Trichoderma</italic> spp., together with the proportionally lower number of CAZymes, suggests different evolutionary trajectories in the two genera, driven by differences in their ecological strategies. The <italic>Clonostachys</italic> secretome included many proteins involved in fungal cell wall catabolism, such as <italic>C. rosea</italic> chitinase ChiC2 (CRV2T00000260_1), whose gene deletion cause a reduction in the growth inhibitory activity of culture filtrates against <italic>B. cinerea</italic> and <italic>Rhizoctonia solani</italic> (<xref ref-type="bibr" rid="ref99">Tzelepis et al., 2015</xref>). An ortholog of this gene is present in all <italic>Clonostachys</italic> spp. considered in this study. However, the total number of identified GH18 chitinases range between six and nine genes in <italic>Clonostachys</italic> spp., which is lower compared to the gene copy number (12&#x2013;21 genes) predicted in <italic>Trichoderma</italic> spp. More specifically, the major difference between <italic>Clonostachys</italic> and <italic>Trichoderma</italic> relates to the number of subgroup C killer toxin-like chitinases, hypothesized to be involved in permeabilization of mycohost cell walls for toxin entry (<xref ref-type="bibr" rid="ref100">Tzelepis and Karlsson, 2019</xref>), suggesting intrinsic differences in the mode of action of these mycoparasites. Another class of secreted CAZymes operating on fungal cell walls are GH16 endo-&#x03B2;-(1,3)-glucanases, with potential roles in cell wall morphogenesis and catabolism (<xref ref-type="bibr" rid="ref73">Mouyna et al., 2016</xref>). This class is evolving for increased gene copy numbers in the analyzed <italic>Clonostachys</italic> spp. with on average nine genes, while only five are found in <italic>Trichoderma</italic> spp. It is possible that the abundance of GH16 enzymes in their secretomes allow <italic>Clonostachys</italic> spp. to better modify and adapt their cell wall for the interaction with their hosts, or simply indicate that GH16 endo-&#x03B2;-(1,3)-glucanases are involved in cell wall degradation of the fungal prey.</p>
<p>Likewise, several CAZyme families with a putative role in deconstruction of plant cell walls evolve for increased paralog numbers in <italic>Clonostachys</italic>, possibly mediating nutrient uptake or plant host colonization. Family AA9 is involved in the degradation of cellulose and the high number of AA9 genes has already been observed in both <italic>C. rosea</italic> and <italic>C. byssicola</italic> (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref36">Gomes et al., 2020</xref>). In the present study, we identified a large difference, between 16 and 32 predicted AA9 enzymes, in the secretomes of different <italic>Clonostachys</italic> spp. indicating an involvement in ecological niche adaptation. Moreover, AA9 was the most frequent CAZyme class in <italic>C. rosea</italic> secreted proteins involved in the response to plant pathogens. AA9 enzymes need exogenous electron donors to function correctly, and it has been hypothesized that these could come from AA3 glucose-methanol-choline oxidoreductases (<xref ref-type="bibr" rid="ref101">Vaaje-Kolstad et al., 2010</xref>), which is also the most numerous class of secreted oxidoreductases in the considered <italic>Clonostachys</italic> species. Additional gene families evolving for gene gene gains or losses include GH31 and GH3 where many members are putatively involved in hemicellulose degradation, including glucosidases, xylosidases and alpha-L-arabinofuranosidases. Enzymes of this class are also present in CAZyme family GH43, which is the most abundant in <italic>Clonostachys</italic> spp. with up to 39 members, while another abundant class, GH28 (13 to 16 members), include enzymes predicted to degrade pectin (<xref ref-type="bibr" rid="ref65">Markovi&#x010D; and Jane&#x010D;ek, 2001</xref>). Cell-wall degradation results in oligomers, such as xyloglucan, which can serve as damage-associated molecular patterns (DAMPs) and activate plant immunity reactions, including pattern-triggered immunity (PTI) and induced systemic resistance (ISR), resulting in the defense-inducing activity of <italic>Clonostachys</italic> spp. (<xref ref-type="bibr" rid="ref8">Beli&#x00EB;n et al., 2006</xref>; <xref ref-type="bibr" rid="ref90">Souza et al., 2017</xref>; <xref ref-type="bibr" rid="ref14">Claverie et al., 2018</xref>). Interestingly, <italic>Trichoderma</italic> spp. had on average a lower number of GH28, GH3, GH31, GH43, AA9 and AA3 enzymes, again emphasizing the different mechanistic strategies that underlie the ecological opportunism of these two genera. It is possible that <italic>Clonostachys</italic> spp. perform their biocontrol action through a greater induction of defense on host plants through partial plant cell wall degradation, while <italic>Trichoderma</italic> spp. have a greater capacity for the direct degradation of the fungal cell wall. Additional studies are needed to confirm this. Recent proteomic studies have shown an increased production of secreted plant cell wall degradation enzymes in <italic>Trichoderma</italic> spp. upon contact with the plant hosts <italic>Phaseolus vulgaris</italic> and <italic>Arabidopsis thaliana</italic>, and <italic>Clonostachys</italic> spp. might behave similarly (<xref ref-type="bibr" rid="ref38">Gonz&#x00E1;lez-L&#x00F3;pez et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">da Silva et al., 2022</xref>). Alternatively, these genomic adaptations may indicate a greater capacity for saprophytic growth of <italic>Clonostachys</italic> spp., which may also influence its usefulness in biocontrol applications.</p>
<p>Another process facilitated by secreted glycoside hydrolases is plant root colonization. In particular, all the considered <italic>Clonostachys</italic> spp. have a homolog of the PG1 protein, a class GH28 CAZyme involved in tomato root colonization in <italic>T. harzianum</italic> (<xref ref-type="bibr" rid="ref71">Mor&#x00E1;n-Diez et al., 2009</xref>), and the <italic>C. rosea</italic> homolog of this gene (CRV2T00004567_1) is involved in the response to <italic>F. graminearum</italic> (<xref ref-type="bibr" rid="ref20">Demissie et al., 2020</xref>). Another gene family with members involved in the interaction with plant hosts is the hydrophobins, necessary for plant colonization and pathogenicity in the pathogen <italic>M. oryzae</italic> (<xref ref-type="bibr" rid="ref97">Talbot et al., 1996</xref>; <xref ref-type="bibr" rid="ref52">Kim et al., 2005</xref>). Among the secreted <italic>C. rosea</italic> hydrophobins, we identified <italic>hyd3</italic> (CRV2T00012494_1), a <italic>F. graminearum</italic> responsive gene (<xref ref-type="bibr" rid="ref20">Demissie et al., 2020</xref>) whose deletion causes a reduction in root colonization (<xref ref-type="bibr" rid="ref24">Dubey et al., 2014</xref>). This protein has a homolog in all considered <italic>Clonostachys</italic> spp., and it is similar (45% aa identity) to hydrophobin HFB2-6 of <italic>T. asperelleum</italic>, which has a function in root colonization and promotes jasmonic acid and salicylic acid signal transduction pathways in poplars (<xref ref-type="bibr" rid="ref42">Huang et al., 2015</xref>). <italic>C. chloroleuca</italic> has almost twice as many hydrophobins, both secreted and otherwise, compared with other <italic>Clonostachys</italic> spp., suggesting that hydrophobins have evolved specific functions in the preferred ecological niche of this species.</p>
<p>Protease subfamily S8A is highly represented in the <italic>Clonostachys</italic> secretomes and it has previously been shown to evolve for gene gains in <italic>C. rosea</italic> (<xref ref-type="bibr" rid="ref44">Iqbal et al., 2018a</xref>,<xref ref-type="bibr" rid="ref45">b</xref>) and the same is true for the whole S8 family in <italic>Trichoderma</italic> spp. (<xref ref-type="bibr" rid="ref23">Druzhinina et al., 2012</xref>). This family contains the serine endopeptidase subtilisin and its homologs, which have proven roles in biocontrol of fungi (<xref ref-type="bibr" rid="ref29">Fan et al., 2014</xref>; <xref ref-type="bibr" rid="ref106">Zhang et al., 2017</xref>) and nematodes (<xref ref-type="bibr" rid="ref1">Ahman et al., 2002</xref>; <xref ref-type="bibr" rid="ref31">Fekete et al., 2008</xref>). Numerous proteases of this class are proven to be involved in the response to mycohosts and nematodes, and this class was the most abundant one among the secreted <italic>C. rosea</italic> proteases found to be responsive to plant pathogens, together with class S1A. For example, the protease genes <italic>prs6</italic> and <italic>prs16</italic> are induced in <italic>C. rosea</italic> during the response to <italic>F. graminearum</italic> (<xref ref-type="bibr" rid="ref44">Iqbal et al., 2018a</xref>,<xref ref-type="bibr" rid="ref45">b</xref>; <xref ref-type="bibr" rid="ref20">Demissie et al., 2020</xref>), while <italic>prs11</italic>, <italic>prs14</italic> and <italic>prs16</italic> are induced during parasitism of the potato pathogen <italic>H. solani</italic> (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>). The serine protease <italic>prC</italic> gene is expressed in <italic>C. rosea</italic> when the fungus is degrading nematode cuticle material and is also involved in resistance to oxidative stress (<xref ref-type="bibr" rid="ref110">Zou C. et al., 2010</xref>; <xref ref-type="bibr" rid="ref111">Zou C.-G. et al., 2010</xref>). Many more members of these classes were detected in the secretomes of <italic>Clonostachys</italic> spp. than <italic>Trichoderma</italic> spp., indicating that <italic>Clonostachys</italic> spp. rely more on this type of proteases for their proteolytic action against mycohosts. However, serine proteases were also observed to be secreted in greater quantities upon <italic>T. harzianum</italic> interaction with <italic>P. vulgaris</italic>, suggesting a role in the interaction with the plant (<xref ref-type="bibr" rid="ref18">da Silva et al., 2022</xref>).</p>
<p>The most numerous lipases in <italic>Clonostachys</italic> spp. proved to be GDSL-like lipases, which can potentially contribute to ethylene-based resistance in plants (<xref ref-type="bibr" rid="ref59">Kwon et al., 2009</xref>; <xref ref-type="bibr" rid="ref39">Gottwald et al., 2012</xref>). <italic>C. rosea</italic> and other species are known for inducing defense responses in plant hosts (<xref ref-type="bibr" rid="ref49">Kamou et al., 2020</xref>; <xref ref-type="bibr" rid="ref93">Sun et al., 2020</xref>), and this class of lipases could bolster that action. A subfamily of this class, GDSL esteraselipases exl3, are among the lipase families predicted to evolve for gene gains in <italic>Clonostachys</italic> species. Notably, we detected more than six <italic>Clonostachys</italic> GDSL-like lipases for each <italic>Trichoderma</italic> sp. in the secretomes, giving another indication that <italic>Clonostachys</italic> spp. have a greater part of their secretome dedicated to influencing plant hosts defense reactions. Among the most represented lipase families are also phospholipases A2, normally involved in nutrient acquisition but also in the modulation of host&#x2019;s immune response (<xref ref-type="bibr" rid="ref54">K&#x00F6;hler et al., 2006</xref>). One such gene (JK757061.1) is induced during <italic>T. harzianum</italic> colonization of tomatoes (<xref ref-type="bibr" rid="ref66">Mehrabi-Koushki et al., 2012</xref>), and phospholipase A activity is a key mechanism by which <italic>Trichoderma</italic> spp. rupture the biological membranes of other fungi (<xref ref-type="bibr" rid="ref69">Minchiotti et al., 2021</xref>).</p>
<p><italic>C. rosea</italic> LysM protein LYSM2 (CRV2T00011102_1) is also predicted to be secreted. Deletion of the <italic>lysm2</italic> gene resulted in <italic>C. rosea</italic> mutants with impaired biocontrol capabilities towards <italic>B. cinerea</italic> and <italic>F. graminearum</italic>, and also altered the suppression of wheat defense genes <italic>PR1</italic> and <italic>PR4</italic> (<xref ref-type="bibr" rid="ref26">Dubey et al., 2020</xref>). An ortholog of this gene is present in all considered <italic>Clonostachys</italic> spp. except for <italic>C. rhizophaga</italic>. Other secreted proteins of interest include homologs of the effector cerato-platanin protein EPL1, involved in induction of defense reaction in maize, cotton, beans and <italic>Nicothiana bentamiana</italic> (<xref ref-type="bibr" rid="ref21">Djonovi&#x0107; et al., 2006</xref>; <xref ref-type="bibr" rid="ref22">Djonovic et al., 2007</xref>; <xref ref-type="bibr" rid="ref17">Crutcher et al., 2015</xref>; <xref ref-type="bibr" rid="ref35">Gomes et al., 2015</xref>; <xref ref-type="bibr" rid="ref12">Cheng et al., 2018</xref>). The thioredoxin-like effector class is also present in the secretomes of all considered species, with three proteins present in all <italic>Clonostachys</italic> spp. and one (CRV2T00013356_1) involved in the response to <italic>H. solani</italic> in <italic>C. rosea</italic> (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>). This class is normally involved in apoplastic reactive oxygen species scavenging to protect plant pathogens from oxidative stress during the interaction with the plant, and it could play a similar role in <italic>Clonostachys</italic> spp., which are known to withstand high amounts of oxidative stress (<xref ref-type="bibr" rid="ref102">Viefhues et al., 2014</xref>; <xref ref-type="bibr" rid="ref60">Li et al., 2016</xref>).</p>
<p>Among the orthogroups detected with Orthofinder, 38 are evolving for gene gains and 16 of them contain genes involved in the <italic>C. rosea</italic> response to either <italic>F. graminearum</italic> or <italic>H. solani</italic>. Among these, nine contain CAZymes putatively involved in hemicellulose degradation and seven include putative effectors. Effector proteins in biocontrol fungi are typically necessary to resist and suppress the defense responses of plant hosts in order to allow plant colonization (<xref ref-type="bibr" rid="ref68">Mendoza-Mendoza et al., 2018</xref>; <xref ref-type="bibr" rid="ref75">Nogueira-Lopez et al., 2018</xref>; <xref ref-type="bibr" rid="ref84">Romero-Contreras et al., 2019</xref>). Additionally, these orthogroups include proteases involved in the degradation of the plant cuticle, which is fundamental to initiate defense responses (<xref ref-type="bibr" rid="ref104">Xia et al., 2009</xref>; <xref ref-type="bibr" rid="ref4">Arag&#x00F3;n et al., 2017</xref>). Orthogroup OG0000113 in particular included homologs of TvPG2, an endopolygalacturonase regulating the induction of plant defense in <italic>T. virens</italic> (<xref ref-type="bibr" rid="ref88">Sarrocco et al., 2017</xref>). Yet other orthogroups consisted of trypsin proteases, which are a part of the biological control action of <italic>T. atroviride</italic> (<xref ref-type="bibr" rid="ref40">Grinyer et al., 2005</xref>)<italic>. C. rosea</italic> genes from these two orthogroups (CRV2T00016251_1 and CRV2T00014266_1) are both induced during the response to <italic>H. solani</italic> (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>).</p>
<p>Several proteins with CFEM domains are predicted in the considered <italic>Clonostachys</italic> species. Such proteins are particularly numerous in fungal pathogens and they often act as cell-surface receptors, signal transducers, adhesion molecules or proteins involved in appressorium formation (<xref ref-type="bibr" rid="ref13">Choi and Dean, 1997</xref>; <xref ref-type="bibr" rid="ref58">Kulkarni et al., 2003</xref>; <xref ref-type="bibr" rid="ref107">Zhang et al., 2015</xref>; <xref ref-type="bibr" rid="ref85">Sabnam and Barman 2017</xref>). Interestingly, the considered <italic>Clonostachys</italic> spp. have higher numbers of CFEM proteins compared with <italic>Trichoderma</italic> species. In non-pathogenic fungi, CFEM can have a role in interactions with plants, and one member is upregulated in <italic>T. atroviride</italic> during plant host interaction (<xref ref-type="bibr" rid="ref41">Guzm&#x00E1;n-Guzm&#x00E1;n et al., 2017</xref>), suggesting that their high number in <italic>Clonostachys</italic> spp. may be tied to a role in plant host perception and colonization. The high number of CFEM proteins could therefore help <italic>Clonostachys</italic> spp. to interact with a high variety of plant hosts, possibly by facilitating adhesion. Some of them, however, could also play a part in the interaction with mycohosts. In particular, the transmembrane CFEM protein CRV2T00016013_1 is part of a phylogenetic group evolving for gene gains in <italic>Clonostachys</italic> and is induced in <italic>C. rosea</italic> in response to <italic>F. graminearum</italic> (<xref ref-type="bibr" rid="ref20">Demissie et al., 2020</xref>). Furthermore, the GPI-anchored protein CRV2T00009137_1 is the only CFEM protein encoded by a gene induced in response to both <italic>H. solani</italic> and <italic>F. graminearum</italic> (<xref ref-type="bibr" rid="ref63">Lys&#x00F8;e et al., 2017</xref>; <xref ref-type="bibr" rid="ref20">Demissie et al., 2020</xref>), indicating a general function in interspecific fungal interactions. This could be related to the known role of CFEM proteins as signal transducers (<xref ref-type="bibr" rid="ref58">Kulkarni et al., 2003</xref>; <xref ref-type="bibr" rid="ref85">Sabnam and Barman 2017</xref>).</p>
</sec>
<sec id="sec18" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>This work investigates the composition of the predicted secretome of <italic>Clonostachys</italic> spp. and highlights its potential role in the mycoparasitic lifestyle and ecological opportunism of these commercially important fungi. Presence of proteins with a known role in fungal antagonism, including the chitinase CHIC2, the LysM protein LYSM2 and the endopolygalacturonase PG2 homolog, as well as several subtilisin-like peptidases and phospholipases A, emphasize the potential contribution of antibiosis to the biocontrol property of <italic>Clonostachys</italic>. <italic>Clonostachys</italic> spp. secretomes contained more CAZymes with a predicted function to degrade hemicellulose compared with <italic>Trichoderma</italic> spp., which however contained more chitinases. This may suggest that <italic>Trichoderma</italic> spp. are more adapted to degrade the cell wall of their mycohosts but less suited to induce defense reactions on their plant hosts. Moreover, we detected an unexpectedly high number of CFEM proteins in <italic>Clonostachys</italic> spp., typically more frequently found in plant pathogens, which also highlight the intimate interaction between <italic>Clonostachys</italic> spp. and plants, with potential consequences for their biocontrol activity. In summary, <italic>Clonostachys</italic> and <italic>Trichoderma</italic> species superficially share the same ecological lifestyle as rhizosphere-competent mycoparasites and opportunistic plant mutualists. Together with previous studies (<xref ref-type="bibr" rid="ref50">Karlsson et al., 2015</xref>; <xref ref-type="bibr" rid="ref76">Nygren et al., 2018</xref>; <xref ref-type="bibr" rid="ref9">Broberg et al., 2021</xref>), the current work emphasizes several differences in the genomic characteristics of these two genera that show that convergent evolution resulted in adaptation of different underlying mechanisms for these apparent ecological similarities. This may have important consequences for the commercial exploitation of these fungi for biocontrol applications.</p>
</sec>
<sec id="sec19" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="sec23" ref-type="sec">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="sec20">
<title>Author contributions</title>
<p>MD, MK, and DJ conceived and designed the analysis. EP and MG performed the analyses with inputs from MK and MD. EP, MG, DJ, MK, and MD discussed and interpreted the results. EP wrote the first draft of the manuscript. MD and MK revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec21" sec-type="funding-information">
<title>Funding</title>
<p>This work was financially supported by the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS; grant numbers 2018-01420, 2021-01461), and Carl Tryggers Stiftelse f&#x00F6;r Vetenskaplig Forskning (CTS 19: 82).</p>
</sec>
<sec id="conf1" 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="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>MK acknowledges the SLU Centre for Biological Control (CBC) at the Swedish University of Agricultural Sciences.</p>
</ack>
<sec id="sec23" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2023.1112673/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2023.1112673/full#supplementary-material</ext-link></p>
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