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<article xmlns:ns2="http://www.w3.org/1999/xlink" xmlns:ns3="http://www.w3.org/1998/Math/MathML">
    <front>
        <journal-meta>
            <journal-title-group>
                <journal-title>OENO One</journal-title>
            </journal-title-group>
        </journal-meta>
        <article-meta>
            <title-group>
                <article-title>Screening of epiphytic rhizosphere-associated bacteria in Argentinian Malbec and Cabernet-Sauvignon vineyards for potential use as biological fertilisers and pathogen-control agents</article-title>
            </title-group>
            <aff id="aff1">
                <sup>
                    <italic>1</italic>
                </sup> Instituto de Biotecnología y Biología Molecular (IBBM), CCT-La Plata, CONICET, Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Argentina</aff>
            <aff id="aff2">
                <sup>
                    <italic>2</italic>
                </sup> Instituto de Investigaciones en Biociencias Agrícolas y Ambientales (INBA), CONICET, Facultad de Agronomía, Universidad de Buenos Aires</aff>
            <aff id="aff3">
                <sup>
                    <italic>3</italic>
                </sup> Instituto de Biotecnología Ambiental y Salud (INBIAS), CONICET, Departamento de Ciencias Naturales, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Río Cuarto, Argentina</aff>
            <aff id="aff4">
                <sup>
                    <italic>4</italic>
                </sup> Universidad Nacional de Quilmes (UNQ), Departamento de Ciencia y Tecnología, Instituto de Microbiología Básica y Aplicada, Laboratorio de Microbiología Molecular, Roque Sáenz Peña 352 (B1876) Bernal, Buenos Aires, Argentina</aff>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Aguilar</surname>
                        <given-names>MónicaOyuela</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1">
                        <sup>
                            <italic>1</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Alvarez</surname>
                        <given-names>Florencia</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff2">
                        <sup>
                            <italic>2</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Medeot</surname>
                        <given-names>Daniela</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff3">
                        <sup>
                            <italic>3</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Jofré</surname>
                        <given-names>Edgardo</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff3">
                        <sup>
                            <italic>3</italic>
                        </sup>
                    </xref>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Pistorio</surname>
                        <given-names>LilianaSemorile4andMariano</given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">
                        <sup>
                            <italic>*</italic>
                        </sup>
                    </xref>
                    <xref ref-type="aff" rid="aff1">
                        <sup>
                            <italic>1</italic>
                        </sup>
                    </xref>
                </contrib>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <sup>
                        <italic>*</italic>
                    </sup>corresponding author: pistorio@biol.unlp.edu.ar</corresp>
            </author-notes>
            <abstract>
                <sec id="Abstract">
                    <title>Abstract</title>
                    <p>The rhizosphere-associated microbiome has diverse functions that support plant growth and health, varying among plant species, vegetation growth stages and environmental habitats. This microbiome includes a group of bacteria denominated plant growth-promoting rhizobacteria (PGPR) which can colonize plant roots. Certain PGPR isolates improve the ability of plants to adapt to a stressful environment. In this study, we collected and characterised the rhizosphere-associated bacteria, or epiphytic rhizobacteria, from Malbec and Cabernet-Sauvignon vineyards from the main wine-producing provinces of Argentina to analyse their potential use as biologic fertilisers and/or as pathogen-control agents. A total of 170 bacterial isolates were obtained, distributed into eleven different genera and classified into three phyla, Proteobacteria, Actinobacteria and Firmicutes. The <italic>in vitro</italic> analysis for plant-growth-promoting (PGP) activities demonstrated that a significant number of bacterial isolates had one or more of these traits. The <italic>Pseudomonas </italic>was the genus with the highest number of isolates and PGP activities, followed by the <italic>Arthrobacter, Serratia, Bacillus </italic>and<italic> Pantoea</italic>. We observed that bacterial isolates identified as <italic>Bacillus</italic> exhibited a remarkable production of hydrolytic enzymes related to biocontrol activities. Biocontrol trials from the <italic>Bacillus </italic>collection revealed that at least five isolates were able to inhibit the fungal growth of <italic>Botrytis cinerea </italic>and <italic>Alternaria alternata</italic>. The results obtained suggest the biological potential of each isolate and the relevance of proceeding to greenhouse and field assays to obtain long-term environmentally compatible bio-products for vineyard management.</p>
                    <p/>
                    <p>Keywords: plant-growth-promoting rhizobacteria (PGPR), rhizosphere, grapevine, biocontrol, biofertilisation</p>
                    <p/>
                </sec>
            </abstract>
        </article-meta>
    </front>
    <body>
        <sec id="Introduction">
            <title>Introduction</title>
            <p>Associations of microorganisms with plants range from mutually beneficial to commensalistic or pathogenic (<xref ref-type="bibr" rid="ref34">Kogel <italic>et al.</italic>, 2006</xref>; <xref ref-type="bibr" rid="ref48">Newton <italic>et al.</italic>, 2010</xref>). The soil zone adhered directly to the plant root system has a high diversity of these microorganisms also known as rhizospheric microorganisms. These plant-microorganism associations play a key role in soil quality, productivity and plant health, through direct or indirect mechanisms, such as mineralisation of soil organic matter, activation of plant defence mechanisms and production of antibiotics against phytopathogens (<xref ref-type="bibr" rid="ref6">Bacon and White, 2016</xref>; <xref ref-type="bibr" rid="ref19">Compant <italic>et al.</italic>, 2005</xref>; <xref ref-type="bibr" rid="ref39">Lugtenberg and Kamilova, 2009</xref>). The rhizosphere, defined as the area of the soil immediately surrounding the plant root, is considered a hotspot of microbial activity and represents one of the most complex ecosystems. Root exudates include a range of organic acids, amino acids, sugars and other small molecules that act as strong chemo-attractants of the soil microbiota (<xref ref-type="bibr" rid="ref20">Compant <italic>et al.</italic>, 2019</xref>). The rhizosphere microbiome of grapevines (as other plants) is impacted by hierarchically structured relationships between geographic location, plant genotype and edaphic factors including land-use history (<xref ref-type="bibr" rid="ref14">Burns <italic>et al.</italic>, 2016</xref>; <xref ref-type="bibr" rid="ref27">Griggs <italic>et al.</italic>, 2021</xref>; <xref ref-type="bibr" rid="ref71">Zarraonaindia <italic>et al.</italic>, 2015</xref>). Plant growth-promoting rhizobacteria (PGPR) include a wide variety of rhizospheric and endophytic bacteria which not only benefit from the nutrients secreted by the plant root but also beneficially influence the plant directly or indirectly, resulting in a stimulation of its growth (<xref ref-type="bibr" rid="ref12">Bloemberg and Lugtenberg, 2001</xref>; <xref ref-type="bibr" rid="ref19">Compant <italic>et al.</italic>, 2005</xref>). Rhizobacteria isolated from grapevines have been demonstrated to possess different beneficial effects. These effects have been attributed to nutrient acquisition (<xref ref-type="bibr" rid="ref7">Baldan <italic>et al.</italic>, 2015</xref>), secondary metabolites (<xref ref-type="bibr" rid="ref2">Ait Barka <italic>et al.</italic>, 2006</xref>; <xref ref-type="bibr" rid="ref55">Rolli <italic>et al.</italic>, 2015</xref>) and the ability to induce and/or increase the plant tolerance against different abiotic and biotic stresses (<xref ref-type="bibr" rid="ref15">Calvo-Garrido <italic>et al.</italic>, 2018</xref>). An investigation undertaken in Argentina by <xref ref-type="bibr" rid="ref57">Salomon <italic>et al.</italic> (2016)</xref> demonstrated that plant bacterisation with rhizobacteria isolated from grapevine cv. Malbec shows a delayed water loss by inducing abscisic acid (ABA) synthesis and triggers the accumulation of terpenes that protect cells against reactive oxygen species. In addition, strains with multiple <italic>in vitro</italic> plant growth-promoting (PGP) activities, such as indole-3-acetic acid (IAA) production, 1-aminocyclopropane-1-carboxylate (ACC) deaminase activity, exopolysaccharide production, phosphate solubilisation, siderophore production, potential nitrogen fixation, protease and ammonia production, were able to improve grapevine growth in the field, even if they originate from different grapevine cultivars (<xref ref-type="bibr" rid="ref54">Rolli <italic>et al.</italic>, 2016</xref>; <xref ref-type="bibr" rid="ref56">Sabir <italic>et al.</italic>, 2012</xref>). In concordance with this, a stimulating effect of the nitrogen-fixing strain <italic>Azospirillum brasilense</italic> Sp245 on nursery propagation of rootstocks and during the vegetative development of young grapevine plants was observed in the field (<xref ref-type="bibr" rid="ref8">Bartolini <italic>et al.</italic>, 2017</xref>).</p>
            <p>Biological control including the use of PGPR, or their natural compounds has received remarkable attention as a promising method that can contribute to overcoming the ecological issue associated with pesticides overuse in agriculture. They reinforce plant resistance against pathogens and consequently reduce the significant loss of plant productivity through diverse mechanisms. The mechanisms include root colonisation and competition with other microbes present in the environment (<xref ref-type="bibr" rid="ref58">Santoyo <italic>et al.</italic>, 2021</xref>), the production of antimicrobial metabolites (<xref ref-type="bibr" rid="ref17">Cawoy <italic>et al.</italic>, 2014</xref>) and the induction of plant-mediated resistance responses (<xref ref-type="bibr" rid="ref5">Aziz <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="ref15">Calvo-Garrido <italic>et al.</italic>, 2018</xref>). Among the main grapevine diseases, grey mould and bunch rot have been reported to affect grapevine cultivation in Argentina and some regions around the world. <italic>Botrytis cinerea</italic> is responsible for the first disease and is also one of the most important causal agents of the second one (together with <italic>Alternaria alternata</italic>, <italic>Aspergillus</italic> spp. and <italic>Penicillium</italic> spp.) (<xref ref-type="bibr" rid="ref24">Fillinger and Elad, 2015</xref>; <xref ref-type="bibr" rid="ref46">Muñoz and Moret, 2010</xref>). These pathogens cause severe losses in the quality and volume of grapes harvested for wine production or fruit market. Different strains belonging to <italic>Pseudomonas,Pantoea</italic> , <italic>Bacillus and Burkholderia</italic> genera were used in biocontrol studies against necrotrophic fungus <italic>Botrytis cinerea</italic> (<xref ref-type="bibr" rid="ref5">Aziz <italic>et al.</italic>, 2015</xref>; <xref ref-type="bibr" rid="ref15">Calvo-Garrido <italic>et al.</italic>, 2018</xref>). </p>
            <p>Today, the wine industry faces challenges that include good grapevine productivity and sustainability through the application of processes that help to obtain quality products, safe for the consumer and workers in the sector. On a global scale, the effects of continuous non-sustainable agricultural practices, such as chemical fertilisation, can cause serious damage to the environment (<xref ref-type="bibr" rid="ref41">Mateo-Sagasta <italic>et al.</italic>, 2018</xref>). Microbial inoculations are a major and preferred sustainable practice in agriculture because that approach encompasses an alternative use to toxic chemicals, where living microorganisms establish associations with plants and promote their growth using multiple beneficial factors. The combination of different sustainable agricultural methods for the production of crops has involved researching and applying new technologies, which study the adequate use of bacterial isolates and identifying their PGP traits, relying on their efficiency to survive and thrive under laboratory conditions as well as in field cultivation experiments (<xref ref-type="bibr" rid="ref65">Souza <italic>et al.</italic>, 2015</xref>). The favourable response to soil or plant inoculation with PGPR varies considerably depending on the bacteria employed, the plant and soil type and the environmental conditions (<xref ref-type="bibr" rid="ref22">Dries <italic>et al.</italic>, 2021</xref>; <xref ref-type="bibr" rid="ref23">Fedele <italic>et al.</italic>, 2020</xref>; <xref ref-type="bibr" rid="ref58">Santoyo <italic>et al.</italic>, 2021</xref>). These aspects imply that the biogeographical origin and environmental conditions constitute relevant considerations in the search for new bacterial isolates. Therefore, this study aimed to obtain a collection of cultured rhizobacteria isolated from the epiphytic microbial communities of Malbec and Cabernet-Sauvignon cultivars, located in the four main wine-producing provinces of Argentina and to characterise their PGP potential <italic>in vitro</italic>. Some of these isolates are proposed as potential PGPR for reaching a more sustainable development of pesticide-reduced viticulture.</p>
            <p/>
        </sec>
        <sec id="Materials-and-methods">
            <title>Materials and methods</title>
            <sec id="1.-Sampling-of-grapevine-roots-and-rhizospheric-soil">
                <title>1. Sampling of grapevine roots and rhizospheric soil</title>
                <p>Grapevine roots samples were collected from eleven vineyards located along four wine-producing provinces of Argentina during 2016, one week prior to the harvest period (Table 1). Information of each site (vineyard), age of grapevine plants, type of cultivation (organic, conventional), inter-row-management (bare ground or presence of other plants) are described in Table S1. Rhizosphere soil and roots samples were taken at 30 cm depth and 20–30 cm distance from the vine trunk into the vineyard rows, following the scheme implemented by <xref ref-type="bibr" rid="ref49">Oyuela Aguilar <italic>et al.</italic> (2020)</xref>. The study included nine vines sampled per plot, covering a 49 m<sup>2</sup> area, placed at least 7 m away from the plot edge. Samples were later stored in sterile bags at 4 °C until processed. The nine samples were pooled in one for bacterial isolation.</p>
                <p/>
                <p>
                    <table-wrap position="float" orientation="portait">
                        <label>Table</label>
                        <caption>
                            <title>Table 1. Sampling sites of rhizosphere-associated bacterial isolates.</title>
                        </caption>
                        <alternatives>
                            <table style="table table-bordered table-striped affichage-tableau">
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<col width="14%"/>
<thead>
    <tr>
        <td xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xs="http://www.w3.org/2001/XMLSchema" xsi:type="xs:string">titre du tableau </td>
    </tr>
</thead>
<tr>
    <th>
        <bold>Province</bold>
    </th>
    <th>
        <bold>Site</bold>
    </th>
    <th>
        <bold>Varietal</bold>
    </th>
    <th>
        <bold>Location</bold>
    </th>
    <th>
        <bold>masl*</bold>
    </th>
    <th>
        <bold>Name</bold>
    </th>
    <th>
        <bold>No. of isolates</bold>
    </th>
</tr>
<tr>
    <th>Río Negro</th>
    <th>Mainqué</th>
    <th>Malbec</th>
    <th>39° 02.190’ S 67° 19.757’ W</th>
    <th>600</th>
    <th>NMr</th>
    <th>16</th>
</tr>
<tr>
    <th>Mendoza</th>
    <th>Agrelo</th>
    <th>Malbec</th>
    <th>33° 09.437’ S 68° 53.700’ W</th>
    <th>930</th>
    <th>Tms</th>
    <th>19</th>
</tr>
<tr>
    <th>Mendoza</th>
    <th>Agrelo</th>
    <th>Cabernet-Sauvignon</th>
    <th>33° 09.416’ S 68° 53.657’W</th>
    <th>920</th>
    <th>Tct</th>
    <th>10</th>
</tr>
<tr>
    <th>San Juan</th>
    <th>Finca Norte</th>
    <th>Malbec</th>
    <th>31° 27.114’ S 68° 42.523’ W</th>
    <th>780</th>
    <th>Nmp</th>
    <th>7</th>
</tr>
<tr>
    <th>San Juan</th>
    <th>Finca Norte</th>
    <th>Cabernet-Sauvignon</th>
    <th>31° 27.002’ S 68° 42.109’ W</th>
    <th>770</th>
    <th>Ncqc</th>
    <th>19</th>
</tr>
<tr>
    <th>San Juan</th>
    <th>Finca Arriba</th>
    <th>Malbec</th>
    <th>31° 28.407’ S 68° 45.486’ W</th>
    <th>800</th>
    <th>Fam</th>
    <th>14</th>
</tr>
<tr>
    <th>San Juan</th>
    <th>Finca Arriba</th>
    <th>Cabernet-Sauvignon</th>
    <th>31° 28.407’ S 68° 45.347’ W</th>
    <th>800</th>
    <th>FACn</th>
    <th>22</th>
</tr>
<tr>
    <th>Salta</th>
    <th>Cafayate</th>
    <th>Malbec</th>
    <th>26° 04.846’ S 66° 00.022’ W</th>
    <th>1700</th>
    <th>Fau</th>
    <th>21</th>
</tr>
<tr>
    <th>Salta</th>
    <th>Cafayate</th>
    <th>Cabernet-Sauvignon</th>
    <th>26° 04.815’ S 66° 00.206’ W</th>
    <th>1700</th>
    <th>AMCv</th>
    <th>13</th>
</tr>
<tr>
    <th>Salta</th>
    <th>Molinos</th>
    <th>Malbec</th>
    <th>25° 30.495’S 66° 23.360’ W</th>
    <th>2200</th>
    <th>Cmw</th>
    <th>16</th>
</tr>
<tr>
    <th>Salta</th>
    <th>Finca Arenal</th>
    <th>Malbec</th>
    <th>25° 02.669’ S 66° 04.460’ W</th>
    <th>2600</th>
    <th>Aex</th>
    <th>13</th>
</tr>
                            </table>
                        </alternatives>
                        <table-wrap-foot>
                            <fn>
<p>*masl: meters above sea level.</p>
                            </fn>
                        </table-wrap-foot>
                    </table-wrap>
                </p>
            </sec>
            <sec id="2.-Determination-of-soil-physicochemical-characteristics">
                <title>2. Determination of soil physicochemical characteristics</title>
                <p>Rhizospheric soil samples were sent to the Centro Nacional de Investigaciones Agropecuarias (CNIA-INTA) (Buenos Aires, Argentina) for physicochemical analysis. The soil treatment and analysis were the same as mentioned in <xref ref-type="bibr" rid="ref49">Oyuela Aguilar <italic>et al.</italic> (2020)</xref>, where the evaluated soil chemical composition included the water pH, organic material, carbon and nitrogen, C/N relationship, absorbable phosphorus content, while the physical components included lime, clay and sand content. Soil physico-chemical analysis is described in Table S2. The Principal Component Analysis (PCA) of soil physicochemical characteristics as well as Redundancy Analysis (RDA) were analysed with PAST v.3 (<xref ref-type="bibr" rid="ref30">Hammer <italic>et al.</italic>, 2001</xref>).</p>
                <p/>
            </sec>
            <sec id="3.-Isolation-of-epiphytic-bacteria-from-the-grapevine-rhizosphere">
                <title>3. Isolation of epiphytic bacteria from the grapevine rhizosphere</title>
                <p>For the isolation of epiphytic rhizobacteria, the grapevine roots were suspended in 50 ml of sterile saline solution (NaCl 0.9 % [w/v]) and mixed 3 times for 60 seconds in a vortex to recover firmly adhered soil. Then, the solution was diluted in serials of 1:10, 1:20 and 1:50 before plating on Luria-Bertani (LB) agar (<xref ref-type="bibr" rid="ref45">Miller, 1971</xref>) containing cycloheximide (100 µg/ml) to prevent fungal growth. Plates were incubated at 28 °C for 72 hours.  From plates containing isolated colonies, 15 to 20 clearly different in some phenotypic characteristics (such as morphology, colour, mobility and growth rate), were chosen. They were then subjected to subsequent purification steps to ensure that pure colonies were obtained. Isolates were stored in LB broth plus 50 % (v/v) glycerol at –20 °C until further analyses. Initially, the bacterial collection was represented by approximately 20 isolates from each sampled site. However, only 170 isolates could be later recovered for their characterisation since not all survived in subcultures or after glycerol storage.</p>
            </sec>
            <sec id="4.-Bacterial-identification-by-MALDI-TOF-mass-spectrometry">
                <title>4. Bacterial identification by MALDI-TOF mass spectrometry</title>
                <p>The identification of cultivable bacteria was carried out by whole-cell matrix-assisted–laser–desorption-ionisation–time-of-flight mass spectrometry (UV-MALDI-TOF MS) with an Ultraflex III UV-MALDI-TOF/TOF mass spectrometer through the use of the MALDI Biotyper 3.1 software (Bruker Daltonics, Bremen, Germany) (<xref ref-type="bibr" rid="ref40">Maier <italic>et al.</italic>, 2006</xref>), as described in <xref ref-type="bibr" rid="ref37">López <italic>et al.</italic> (2018)</xref>. Previously to this study, the commercial database was expanded with the corresponding MS spectra of different bacterial isolates from seeds, plants and nodules which were incorporated into an in-house library (<xref ref-type="bibr" rid="ref37">López <italic>et al.</italic>, 2018</xref>; <xref ref-type="bibr" rid="ref68">Toniutti <italic>et al.</italic>, 2017</xref>). Analysis by MALDI-TOF MS was performed in the Center of Chemical and Biological Studies of the Buenos Aires University (Centro de Estudios Químicos y Biológicos por Espectrometría de Masa (CEQUIBIEM), Mass Spectrometry Facility, FCEN-UBA, IQUIBICEN-CONICET). MALDI-TOF MS identifications were classified using the following score values: ≥ 2 species identification, between 1.7 and 1.9 genus identification and &lt; 1.7 no identification.</p>
                <p/>
            </sec>
            <sec id="5.--In-vitro-plant-growth-promoting-(PGP)-assays">
                <title>5.  In vitro plant-growth-promoting (PGP) assays</title>
                <p>Bacterial isolates were screened by an agar-plate assay for phosphate solubilisation, siderophore production and synthesis of lytic enzymes through cellulase, protease, amylase and pectinase activities. Assays were repeated three times for each isolate. The ability to solubilise mineral phosphate was tested on the solid phosphate-growth medium of the National Botanical Research Institute (NBRIP) (<xref ref-type="bibr" rid="ref47">Nautiyal, 1999</xref>). Siderophore production was assayed using chromium azurol S (CAS) agar medium (<xref ref-type="bibr" rid="ref59">Schwyn and Neilands, 1987</xref>) by the bilayer method (<xref ref-type="bibr" rid="ref50">Pérez-Miranda <italic>et al.</italic>, 2007</xref>), in which the formation of orange halos around the bacterial colonies is indicative of a positive result.  Enzymatic activity was evaluated in specific media previously described for amylase <xref ref-type="bibr" rid="ref37">López <italic>et al.</italic> (2018)</xref>, protease <xref ref-type="bibr" rid="ref13">Brown and Foster (1970)</xref>, cellulase <xref ref-type="bibr" rid="ref31">Hankin and Anagnostakis (1977)</xref> and pectinase <xref ref-type="bibr" rid="ref62">Soares <italic>et al.</italic> (1999)</xref> activities.</p>
                <p/>
            </sec>
            <sec id="6.-Antagonistic-activity-against-phytopathogenic-fungi">
                <title>6. Antagonistic activity against phytopathogenic fungi</title>
                <p>Bacterial isolates identified as <italic>Bacillus</italic> spp. were tested against the phytopathogenic fungi <italic>Botrytis cinerea, Alternaria alternata, Fusarium graminearum, Fusarium oxysporum, Penicillium expansum</italic> and <italic>Penicillium oxalicum</italic> by a dual-culture assay on potato-dextrose-agar medium at 23 °C, according to a modified protocol based on <xref ref-type="bibr" rid="ref69">Whipps (1987)</xref> and described by <xref ref-type="bibr" rid="ref51">Príncipe <italic>et al.</italic> (2007)</xref>. Briefly, agar disks containing the fungal mycelium were applied on the Petri dish 3 cm apart from each bacterial culture spot. A negative control consisting of fungal agar disks in the absence of bacterial culture spots was also conducted. The Petri dishes were  incubated at 23 °C for 4 days. Then, the radius of mycelial growth was measured in cm. Three replicates were performed.</p>
                <p/>
            </sec>
        </sec>
        <sec id="Results-and-discussion">
            <title>Results and discussion</title>
            <sec id="Taxonomic-identification-of-rhizobacteria-isolates">
                <title>Taxonomic identification of rhizobacteria isolates</title>
                <p>A final collection of 170 grapevine rhizosphere-associated bacteria were obtained from Malbec and Cabernet-Sauvignon cultivars located in eleven vineyards of the four-leading wine provinces of Argentina. The largest percentage of bacterial isolates was associated with Malbec cultivar (88 %), which was present at all sampled sites. In accordance with the number of sampled sites, most of the isolates were recovered from vineyards located in Salta and San Juan provinces (37 %, respectively), and smaller percentages from Mendoza (17 %) and Río Negro (9 %) (Table 1).</p>
                <p>By MALDI-TOF mass spectrometry, it was possible to identify 151 isolates that were grouped into 11 genera belonging to Proteobacteria (<italic>α </italic>and <italic>γ</italic>), Actinobacteria and Firmicutes phyla. A summary of the identified genera and their geographical origin is shown in Figure 1. The additional data, shown in Table S1, indicates the genus of each isolate, their associated vineyard and the grapevine cultivar of origin. Only 5 genera clustered 95 % of the identified isolates; they were <italic>Pseudomonas</italic> (39 %), <italic>Serratia</italic> (22 %), <italic>Pantoea</italic> (15 %), <italic>Arthrobacter</italic> (13 %) and <italic>Bacillus</italic> (11 %). <italic>Pseudomonas</italic> spp. were found in the four provinces, predominantly in Salta and San Juan. Members of the <italic>Serratia</italic> genus were predominant in Mendoza and San Juan. Rhizobacteria belonging to the <italic>Pantoea</italic> genus were collected at Río Negro, San Juan and Mendoza but not in Salta. With respect to Gram-positive isolates, which were less frequent than Gram-negative isolates, these represented 53 %, 27 %, 18 % and 10 % of the total bacteria obtained from Río Negro (<italic>Arthrobacter </italic>and <italic>Microbacterium</italic>), Salta (<italic>Bacillus</italic> and <italic>Arthrobacter</italic>), San Juan (<italic>Bacillus</italic> and <italic>Arthrobacter</italic>) and Mendoza (only <italic>Bacillus</italic>), respectively.</p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 1. Distribution of the bacterial genera identified by MALDI-TOF mass spectrometry according to the province of origin.</title>
                            <p>The total number of isolates analysed for each province was: Rio Negro, 16; Mendoza 29; San Juan, 61; Salta 63.</p>
                        </caption>
                        <graphic mimetype="image" ns2:type="simple" ns2:href="image1.jpeg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 1. Distribution of the bacterial genera identified by MALDI-TOF mass spectrometry according to the province of origin.</title>
                        <p>The total number of isolates analysed for each province was: Rio Negro, 16; Mendoza 29; San Juan, 61; Salta 63.</p>
                    </caption>
                    <graphic mimetype="image" ns2:type="simple" ns2:href="image1.jpeg"/>
                </fig>
                <p/>
                <p/>
                <p>The <italic>Pseudomonas,Serratia</italic> , <italic>Arthrobacter</italic> and <italic>Bacillus</italic> genera were found associated with the rhizosphere of both cultivars, while the <italic>Pantoea</italic> genus was only isolated from Malbec grapevines (Figure 2). The remaining genera (5 %) included a few isolates belonging to <italic>Rhizobium</italic> genera (2 %), recovered from both grapevine cultivars and unique isolates of different genera. Among these, <italic>Microbacterium </italic>and <italic>Aeromonas</italic> genera were associated with Malbec grapevines while <italic>Paenibacillus, Acinetobacter </italic>and <italic>Stenotrophomonas </italic>genera were isolated from Cabernet-Sauvignon cultivar (Figure 2). </p>
                <p>MALDI-TOF biotyping enables species assignment; the assurance of such assignment depends on the number of spectra stored in the database. To increase the identification power of the MALDI-TOF MS on genus and species level in case of environmental bacterial strains, we used an in-house library. It is noteworthy that most of the isolates (58 %) were classified to the species level as high-confidence identification (score value &gt; 2) from which some species were identified with a very high score (&gt; 2.3), such as <italic>Pseudomonas jessenii, Pseudomonas chlororaphis</italic> subsp. <italic>chlororaphis</italic>, <italic>Pseudomonas chlororaphis</italic> subsp. <italic>aurantiaca</italic>, <italic>Pseudomonas brassicacearum</italic>, <italic>Pseudomonas agglomerans</italic>, <italic>Serratia ficaria</italic>, <italic>Serratia marcescens</italic>, <italic>Rhizobium radiobacter</italic> and <italic>Bacillus megaterium</italic>, which has been recently transferred into the genera <italic>Priestia</italic> (<xref ref-type="bibr" rid="ref28">Gupta <italic>et al.</italic>, 2020</xref>). In addition, some isolates belong to <italic>Bacillussubtilis</italic> , <italic>Bacillus cereus</italic> and <italic>B. simplex</italic>/<italic>B. muralis</italic> groups (Table S1). Many of these species have been characterised as PGPR in different crops (<xref ref-type="bibr" rid="ref4">Alvarez <italic>et al.</italic>, 2012</xref>; <xref ref-type="bibr" rid="ref9">Batista <italic>et al.</italic>, 2021</xref>; <xref ref-type="bibr" rid="ref52">Pusey <italic>et al.</italic>, 2011</xref>; <xref ref-type="bibr" rid="ref53">Robles Montoya <italic>et al.</italic>, 2019</xref>; <xref ref-type="bibr" rid="ref61">Singh and Jha, 2016</xref>). As not all bacteria could be assigned to species level the comparisons were limited to genus level.</p>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 2. Venn diagram representing the single and shared bacterial genera identified from each grapevine cultivar.</title>
                            <p>The genera isolated from the Malbec cultivar samples are represented in yellow, while those from the Cabernet-Sauvignon samples are indicated in blue, the light-green intersection represents the genera common to both cultivars. The total number of Malbec isolates were 106 and Cabernet-Sauvignon were 64.</p>
                        </caption>
                        <graphic mimetype="image" ns2:type="simple" ns2:href="image2.png"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 2. Venn diagram representing the single and shared bacterial genera identified from each grapevine cultivar.</title>
                        <p>The genera isolated from the Malbec cultivar samples are represented in yellow, while those from the Cabernet-Sauvignon samples are indicated in blue, the light-green intersection represents the genera common to both cultivars. The total number of Malbec isolates were 106 and Cabernet-Sauvignon were 64.</p>
                    </caption>
                    <graphic mimetype="image" ns2:type="simple" ns2:href="image2.png"/>
                </fig>
                <p/>
                <p>A principal component (PCA) analysis of the soil physicochemical characteristics showed that samples were distributed according to their origin (Figure 3). The first two principal components accounted for 93.9 % of the total variance, 59.3 % and 34.6 %, respectively. The soils samples from Salta were mainly influenced by the sand proportion and the low organic carbon and organic nitrogen. On the other hand, the soils from Mendoza, San Juan and Rio Negro provinces presented more clay and lime content. These last three provinces could be divided into two groups according to the content of organic carbon and organic nitrogen: one group includes samples from San Juan and a second one samples of Rio Negro and Mendoza. </p>
                <p/>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 3. PCA of soil physicochemical characteristics of sampled vineyards.</title>
                            <p>Samples from Rio Negro (blue circles), San Juan (red triangles), Mendoza (green squares) and Salta (purple squares) are shown in two first dimensions PCA.</p>
                        </caption>
                        <graphic mimetype="image" ns2:type="simple" ns2:href="image3.png"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 3. PCA of soil physicochemical characteristics of sampled vineyards.</title>
                        <p>Samples from Rio Negro (blue circles), San Juan (red triangles), Mendoza (green squares) and Salta (purple squares) are shown in two first dimensions PCA.</p>
                    </caption>
                    <graphic mimetype="image" ns2:type="simple" ns2:href="image3.png"/>
                </fig>
                <p/>
                <p/>
                <p>To better explore the microbial differences among sites, a redundancy analysis (RDA) was performed to assess the effects of soil physicochemical properties variation of genera diversity (Figure 4) with isolates identified in more than one site. It could be observed that the amount of <italic>Pseudomonas</italic> in the sites is correlated to the proportion of sand in the soils. On the contrary, members of <italic>Pantoea</italic> could be isolated in soils with lower sand content, while <italic>Arthrobacter</italic> in soils with an abundance of assimilable phosphorus. Several DNA studies supported that the grape microbiome is related to vineyard location, climatic conditions and other vineyard-related factors (<xref ref-type="bibr" rid="ref44">Mezzasalma <italic>et al.</italic>, 2018</xref>; <xref ref-type="bibr" rid="ref49">Oyuela Aguilar <italic>et al.</italic>, 2020</xref>; <xref ref-type="bibr" rid="ref71">Zarraonaindia <italic>et al.</italic>, 2015</xref>).</p>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 4. Redundancy Analysis (RDA) of bacterial isolates.</title>
                            <p>The two first dimensions are shown, axis 1 represented 61.75 % and axis 2 20.43 %. Samples from Rio Negro (blue circles), San Juan (red triangles), Mendoza (green squares) and Salta (purple squares) are shown. (R<sup>2</sup>:0.9369, R<sup>2 </sup>adj:0.6846, F:3.714, Perm p. (n = 999):0.023). </p>
                        </caption>
                        <graphic mimetype="image" ns2:type="simple" ns2:href="image5.png"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 4. Redundancy Analysis (RDA) of bacterial isolates.</title>
                        <p>The two first dimensions are shown, axis 1 represented 61.75 % and axis 2 20.43 %. Samples from Rio Negro (blue circles), San Juan (red triangles), Mendoza (green squares) and Salta (purple squares) are shown. (R<sup>2</sup>:0.9369, R<sup>2 </sup>adj:0.6846, F:3.714, Perm p. (n = 999):0.023). </p>
                    </caption>
                    <graphic mimetype="image" ns2:type="simple" ns2:href="image5.png"/>
                </fig>
                <p/>
                <p/>
            </sec>
            <sec id="2.-Analysis-of-phenotypic-traits-related-to-PGP-activities">
                <title>2. Analysis of phenotypic traits related to PGP activities</title>
                <p/>
                <p>The collection of 170 epiphytic rhizobacteria isolates was screened by <italic>in vitro </italic>assays for six biochemical activities related to PGP and/or biological control. The traits assayed were the enzymatic activities amylase, protease, cellulase and pectinase along with siderophore production and ability to solubilise phosphate (Table S3). Certain bacterial isolates exhibited several positive traits, suggesting the use of those strains in future plant assays to analyse the corresponding effects. The results, summarised in Table 2, indicated that the most prevalent traits were protease activity (59 %), siderophore production (56 %) and phosphate solubilisation (47 %). </p>
                <p>The most remarkable ability to solubilise inorganic phosphate was detected in some isolates belonging to <italic>Pantoea</italic>, <italic>Pseudomonas</italic>, <italic>Microbacterium</italic> and <italic>Serratia</italic> genera (Table 2, Table S3). Second to nitrogen, phosphorus is the most required inorganic nutrient by plants and microorganisms (<xref ref-type="bibr" rid="ref29">Gyaneshwar <italic>et al.</italic>, 2002</xref>). Therefore, the ability to solubilise phosphate constitutes a fundamental characteristic in rhizosphere-dwelling microorganisms. Phosphate solubilising bacteria secrete organic acids which chelate divalent cations (such as Ca<sup>+2</sup>) from complex mineral phosphorous (P) and release free P that can be taken up by the plant (<xref ref-type="bibr" rid="ref26">Goldstein, 1995</xref>). Many Gram-negative bacteria employ periplasmic glucose oxidation through pyrroloquinoline quinone (PQQ)-dependent glucose dehydrogenase enzyme to produce gluconate, resulting in the acidification of the microbial cells and their surroundings. This mechanism was well-documented in <italic>Pantoea</italic> (<xref ref-type="bibr" rid="ref63">Son <italic>et al.</italic>, 2006</xref>; <xref ref-type="bibr" rid="ref67">Tahir <italic>et al.</italic>, 2020</xref>), <italic>Pseudomonas</italic> (<xref ref-type="bibr" rid="ref66">Suleman <italic>et al.</italic>, 2018</xref>) and <italic>Serratia</italic> (<xref ref-type="bibr" rid="ref38">Ludueña <italic>et al.</italic>, 2017</xref>) strains.</p>
                <p>Siderophore production by microorganisms has received great attention due to their application in different branches of the agriculture sector such as soil science, plant pathology and environmental sciences (<xref ref-type="bibr" rid="ref3">Albelda-Berenguer <italic>et al.</italic>, 2019</xref>; <xref ref-type="bibr" rid="ref32">Johnstone and Nolan, 2015</xref>). Siderophores are secondary metabolites with a high specific affinity to chelate iron. Iron is a scarce nutrient in neutral or basic soils due to the low solubility of the Fe<sup>+3</sup> ion, which is substantially necessary for plant health. Furthermore, iron chelation by beneficial bacteria can prevent the colonisation of the rhizosphere by pathogenic microorganisms (<xref ref-type="bibr" rid="ref25">Ghazy and El-Nahrawy, 2021</xref>; <xref ref-type="bibr" rid="ref60">Siddiqui, 2006</xref>). Chrome azurol S (CAS)-based assays were widely used for the screening of siderophore-producing bacteria, even those chemically different (catecholates, hydroxamates, carboxylates and mixed types). We found that 71 % of the isolates belonging to the <italic>Pseudomonas</italic> genus were substantially active in siderophores production (Table 2, Table S3). As in our results, the well-suited for iron scavenging pseudomonads were the main siderophore-producing rhizobacteria from Concord grape vineyards, suggesting a potential role in iron turnover in vineyard systems (<xref ref-type="bibr" rid="ref36">Lewis <italic>et al.</italic>, 2019</xref>). Other important siderophore-producing genera were <italic>Pantoea</italic> (67 %), <italic>Bacillus</italic> (50 %) and, particularly, <italic>Serratia</italic> genus (45 %) (Table 2, Table S3). In these genera, more than one type of siderophore have been described: pyochelin (<xref ref-type="bibr" rid="ref70">Youard <italic>et al.</italic>, 2011</xref>), enterobactin (<xref ref-type="bibr" rid="ref64">Soutar and Stavrinides, 2018</xref>), bacillibactin (<xref ref-type="bibr" rid="ref21">Dertz <italic>et al.</italic>, 2006</xref>) and serratiochelin (<xref ref-type="bibr" rid="ref33">Khilyas <italic>et al.</italic>, 2019</xref>), which are most commonly produced by <italic>Pseudomonas</italic>, <italic>Pantoea,Bacillus</italic>  and <italic>Serratia</italic>, respectively. In addition, a significant proportion of isolates belonging to <italic>Arthrobacter</italic> genera (63 %), especially those from Rio Negro and Cafayate (Salta) locations, showed siderophore production. Although siderophores produced by <italic>Arthrobacter</italic> spp., are not well-characterised, some interesting strains have shown resistance to toxic heavy metals and stressful conditions (<xref ref-type="bibr" rid="ref11">Binnewies <italic>et al.</italic>, 2006</xref>) in which siderophores could be involved (<xref ref-type="bibr" rid="ref32">Johnstone and Nolan, 2015</xref>).  </p>
                <p>Regarding synthesis of lytic enzymes, bacterial isolates belonging to <italic>Arthrobacter</italic> and <italic>Bacillus</italic> genera exhibited positive results for protease, amylase and/or pectinase activity, while members of <italic>Pseudomonas</italic> and <italic>Serratia</italic> genera displayed mainly protease activity. In a general way, <italic>Pantoea</italic> spp. isolates exhibited a very weak hydrolase activity, except <italic>P. agglomerans</italic> NMr9 that showed protease and pectinase activity (Table S3). The production of hydrolytic enzymes contributes to the recycling of organic matter in the soil and, therefore, to soil biodiversity. The bulk of plant biomass comprises cell wall material, which is deconstructed into glucose by multiple synergistic enzyme activities such as cellulases and pectinases. In addition, several lytic enzymes are involved in biocontrol mechanisms (<xref ref-type="bibr" rid="ref20">Compant <italic>et al.</italic>, 2019</xref>). It is worth mentioning that <italic>Arthrobacter</italic> sp. FACn18, <italic>Paenibacillus</italic> AMCV14, <italic>Serratia</italic> sp. Ncq3b, <italic>Bacillus</italic> sp. Fau8 and <italic>Pseudomonasjessenii</italic>  Fau9 were grouped among isolates with a better hydrolytic profile.</p>
                <p/>
                <p>
                    <table-wrap position="float" orientation="portait">
                        <label>Table</label>
                        <caption>
                            <title>Table 2. In vitro assays to detect functional traits of grapevine rhizosphere bacterial isolates, grouped by genus.</title>
                        </caption>
                        <alternatives>
                            <table style="table table-bordered table-striped affichage-tableau">
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<col width="12%"/>
<thead>
    <tr>
        <td xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xs="http://www.w3.org/2001/XMLSchema" xsi:type="xs:string">titre du tableau </td>
    </tr>
</thead>
<tr>
    <th>
        <bold>Genus</bold>
    </th>
    <th>
        <bold>Isolates</bold>
    </th>
    <th>
        <bold>Phosphate solubilisation</bold>
    </th>
    <th>
        <bold>Siderophore production</bold>
    </th>
    <th>
        <bold>Protease activity</bold>
    </th>
    <th>
        <bold>Amylase activity</bold>
    </th>
    <th>
        <bold>Cellulase activity</bold>
    </th>
    <th>
        <bold>Pectinase activity</bold>
    </th>
</tr>
<tr>
    <th>
        <italic>Acinetobacter</italic>
    </th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
</tr>
<tr>
    <th>
        <italic>Aeromonas</italic>
    </th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
</tr>
<tr>
    <th>
        <italic>Arthrobacter</italic>
    </th>
    <th>19</th>
    <th>1</th>
    <th>12</th>
    <th>10</th>
    <th>16</th>
    <th>1</th>
    <th>10</th>
</tr>
<tr>
    <th>
        <italic>Bacillus</italic>
    </th>
    <th>16</th>
    <th>4</th>
    <th>8</th>
    <th>10</th>
    <th>11</th>
    <th>0</th>
    <th>12</th>
</tr>
<tr>
    <th>
        <italic>Microbacterium</italic>
    </th>
    <th>1</th>
    <th>1</th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
</tr>
<tr>
    <th>
        <italic>Paenibacillus</italic>
    </th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>1</th>
    <th>1</th>
    <th>0</th>
    <th>1</th>
</tr>
<tr>
    <th>
        <italic>Pantoea</italic>
    </th>
    <th>15</th>
    <th>13</th>
    <th>10</th>
    <th>1</th>
    <th>1</th>
    <th>0</th>
    <th>1</th>
</tr>
<tr>
    <th>
        <italic>Pseudomonas</italic>
    </th>
    <th>59</th>
    <th>32</th>
    <th>42</th>
    <th>39</th>
    <th>2</th>
    <th>4</th>
    <th>11</th>
</tr>
<tr>
    <th>
        <italic>Rhizobium</italic>
    </th>
    <th>3</th>
    <th>0</th>
    <th>3</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
</tr>
<tr>
    <th>
        <italic>Serratia</italic>
    </th>
    <th>33</th>
    <th>22</th>
    <th>15</th>
    <th>30</th>
    <th>0</th>
    <th>10</th>
    <th>8</th>
</tr>
<tr>
    <th>
        <italic>Stenotrophomonas</italic>
    </th>
    <th>1</th>
    <th>1</th>
    <th>0</th>
    <th>1</th>
    <th>0</th>
    <th>0</th>
    <th>0</th>
</tr>
<tr>
    <th>Unassigned</th>
    <th>19</th>
    <th>6</th>
    <th>4</th>
    <th>7</th>
    <th>8</th>
    <th>0</th>
    <th>13</th>
</tr>
<tr>
    <th>Total</th>
    <th>169</th>
    <th>80</th>
    <th>95</th>
    <th>100</th>
    <th>39</th>
    <th>15</th>
    <th>56</th>
</tr>
<tr>
    <th>Average (percentage)</th>
    <th/>
    <th>47.3</th>
    <th>56.2</th>
    <th>59.2</th>
    <th>23.1</th>
    <th>8.9</th>
    <th>33.1</th>
</tr>
                            </table>
                        </alternatives>
                        <table-wrap-foot>
                            <fn>
<p/>
                            </fn>
                        </table-wrap-foot>
                    </table-wrap>
                </p>
                <p/>
            </sec>
            <sec id="3.-Growth-inhibition-for-phytopathogenic-fungi-control">
                <title>3. Growth-inhibition for phytopathogenic fungi control</title>
                <p>Plant fungal pathogens cause a large number of soil-borne diseases, many of which lead to serious annual agricultural loss (<xref ref-type="bibr" rid="ref1">Agrios, 2009</xref>; <xref ref-type="bibr" rid="ref35">Koike <italic>et al.</italic>, 2003</xref>). Therefore, to avoid environmental deterioration, biological control is being considered as an alternative or a complementary way to reduce the use of synthetic chemicals for disease control (<xref ref-type="bibr" rid="ref10">Beneduzi <italic>et al.</italic>, 2012</xref>).</p>
                <p>Certain <italic>Bacillus</italic> species are suitable candidates for use as biocontrol agents against fungal phytopathogens (<xref ref-type="bibr" rid="ref16">Calvo-Garrido <italic>et al.</italic>, 2019</xref>; <xref ref-type="bibr" rid="ref18">Chen <italic>et al.</italic>, 2019</xref>). Among the main attributes of members from this genus is the production of several antimicrobial compounds, which include cyclic lipopeptides (<xref ref-type="bibr" rid="ref42">Medeot <italic>et al.</italic>, 2019</xref>). In addition, their ability to sporulate is advantageous for time-stable inoculant production. </p>
                <p>Based on the above-mentioned,     the ability to inhibit the growth of soil-borne fungal phytopathogens was tested in <italic>Bacillus </italic>isolates present in the rhizobacteria collection. Selected necrotrophic fungi include <italic>Botrytis cinerea</italic>, the causal agent of grey mould and botrytis bunch rot, two important vineyard diseases of great concern to the wine industry. Moreover, antagonistic activity toward <italic>A. alternata</italic>, the causal agent of grape bunch rot (<xref ref-type="bibr" rid="ref43">Meena and Samal, 2019</xref>), <italic>Fusarium</italic> spp. and <italic>Penicillium </italic>spp. was also tested to know the inhibitory capability of <italic>Bacillus</italic> isolates. </p>
                <p>According to our results, five isolates belonging to <italic>B. subtilis</italic> and <italic>B. cereus</italic> groups were able to significantly antagonise <italic>Botrytis cinerea</italic>. In addition, isolates belonging to the <italic>B. cereus</italic> group strongly inhibited <italic>Alternaria alternata</italic> (Figure 5, Table S4). Interestingly, isolates Fau18 and Fam11b were able to inhibit at least one species of <italic>Fusarium</italic> or <italic>Penicillium</italic>, respectively, while ACMv2 showed the broadest spectrum antifungal activity. Complementary studies will be carried out to characterise bioactive metabolites produced by these isolates.</p>
                <p/>
                <p>
                    <fig>
                        <label>Table</label>
                        <caption>
                            <title>Figure 5. Inhibition of phytopathogenic fungi by bacterial isolates belonging to the genus Bacillus.</title>
                            <p>The values of inhibition of mycelium growth by antagonistic activity were calculated by measuring the fungal colony radius (cm) in PDA plates without any bacteria in comparison with dual culture bacteria-fungi antagonistic assays. Data are the means of three replicates with SEM. Star (*) indicates a statistically significant difference (P &lt; 0.001), double stars (**) indicates a statistically significant difference with P &lt; 0.05 after one way ANOVA and multiple comparisons versus Control Group (without bacteria) by Holm–Sidak method.</p>
                        </caption>
                        <graphic mimetype="image" ns2:type="simple" ns2:href="image7.jpeg"/>
                    </fig>
                </p>
                <fig>
                    <label>Table</label>
                    <caption>
                        <title>Figure 5. Inhibition of phytopathogenic fungi by bacterial isolates belonging to the genus Bacillus.</title>
                        <p>The values of inhibition of mycelium growth by antagonistic activity were calculated by measuring the fungal colony radius (cm) in PDA plates without any bacteria in comparison with dual culture bacteria-fungi antagonistic assays. Data are the means of three replicates with SEM. Star (*) indicates a statistically significant difference (P &lt; 0.001), double stars (**) indicates a statistically significant difference with P &lt; 0.05 after one way ANOVA and multiple comparisons versus Control Group (without bacteria) by Holm–Sidak method.</p>
                    </caption>
                    <graphic mimetype="image" ns2:type="simple" ns2:href="image7.jpeg"/>
                </fig>
                <p/>
                <p/>
            </sec>
        </sec>
        <sec id="Conclusions">
            <title>Conclusions</title>
            <p/>
            <p>In this study, we obtained, identified and screened a collection of rhizosphere-associated bacteria from vineyards located in four provinces of Argentina, to investigate the potential of those isolates as biofertilisers and/or biological control agents. The most identified genera were <italic>Pseudomonas</italic>, <italic>Serratia</italic>, <italic>Arthrobacter</italic>, <italic>Bacillus</italic> and <italic>Pantoea</italic>, which were differentially found according to the type of soil. Most rhizospheric isolates exhibited <italic>in vitro</italic> one or more PGP properties such as phosphate solubilisation, siderophore production, hydrolytic activity and fungal antagonism. Based on these results, certain isolates representatives of each site will be selected and evaluated in terms of their potential PGPR effects on grapevine plants. A few isolates showed highly positive results for all tests; therefore, combined isolates could be considered to attain a synergistic effect. The obtained results expose those potentially beneficial traits, considered relevant to develop biological inoculants, that constitute a safer alternative to synthetic chemical fertilisers and pesticides in vineyards. </p>
            <p/>
        </sec>
        <sec id="Acknowledgements">
            <title>Acknowledgements</title>
            <p>We want to thank the wineries in Argentina for allowing us to collect samples from their vineyards. We would also like to thank the Microwine team for their support and input in our study, and the RPS group in the IBBM laboratory of Argentina for their contributions in technology and knowledge about rhizobacteria in crops. MO completed her Marie-Curie ITN fellowship at the IBBM institute in the Biological Sciences Faculty of the National University of La Plata. FA, DM, EJ and MP are members of the Research Career of CONICET, and LS is Head Professor of the Universidad Nacional de Quilmes and member of the Research Career of CIC-PBA. This study was funded by the Horizon 2020 program from the European Commission in the Marie Skłodowska-Curie Innovative-Training-Network “MicroWine” (grant number 643063) and the Agencia Nacional de Promoción Científica y Tecnológica PICT-2017-2833. </p>
            <p/>
        </sec>
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