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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2022.1089553</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Macroalgal treatment to alleviate the strawberry yield loss caused by <italic>Macrophomina phaseolina</italic> (Tassi) Goid. in greenhouse cultivation system</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tajdinian</surname> <given-names>Samaneh</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Rahmati-Joneidabad</surname> <given-names>Mostafa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ghodoum Parizipour</surname> <given-names>Mohamad Hamed</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2083612/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Horticultural Science, Faculty of Agriculture, Agricultural Sciences and Natural Resources University of Khuzestan</institution>, <addr-line>Mollasani</addr-line>, <country>Iran</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Plant Protection, Agricultural Sciences and Natural Resources University of Khuzestan</institution>, <addr-line>Mollasani</addr-line>, <country>Iran</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Abdelilah Meddich, Cadi Ayyad University, Morocco</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mohamed Anli, Cadi Ayyad University, Morocco; El Kaoua Mimoun, Cadi Ayyad University, Morocco</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Mohamad Hamed Ghodoum Parizipour &#x02709; <email>parizi&#x00040;asnrukh.ac.ir</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Crop Biology and Sustainability, a section of the journal Frontiers in Sustainable Food Systems</p></fn></author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>6</volume>
<elocation-id>1089553</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Tajdinian, Rahmati-Joneidabad and Ghodoum Parizipour.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tajdinian, Rahmati-Joneidabad and Ghodoum Parizipour</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>
<p>The application of algae has been considered a key element for integrated disease management in sustainable agriculture. These organisms can act as a bio-stimulant for induction of resistance against a variety of abiotic and biotic agents that cause economical loss to crop production globally. Charcoal rot disease caused by <italic>Macrophomina phaseolina</italic> (Tassi) Goid. is one of the biotic agents restricting strawberry (<italic>Fragaria</italic> &#x000D7; <italic>ananassa</italic> Duch.) yield in many cultivation sites. Herein, the foliar application of brown alga (<italic>Sargassum angustifolium</italic>) was investigated for the reduction of the disease symptoms and improvement of vegetative and reproductive indices in strawberries under greenhouse conditions. The results showed that alga-treated infected plants showed symptom remission. Moreover, vegetative and reproductive indices of alga-treated plants were significantly improved. Biochemical analysis showed that in alga-treated infected plants the total phenol, flavonoids, and total antioxidant activity were significantly increased compared to non-treated infected plants. Furthermore, the content of defense-related enzymes, viz. phenylalanine ammonia-lyase and polyphenol oxidase, were significantly increased in the infected plants pre-treated with the alga extract. Foliar application of <italic>S. angustifolium</italic> extract can induce defense responses in strawberry plants infected by <italic>M. phaseolina</italic> leading to improved growth indices of the plants. It can be concluded that <italic>S. angustifolium</italic> extract is a promising source of bio-stimulants for induction of disease resistance against charcoal rot disease in strawberry cultivations.</p></abstract>
<kwd-group>
<kwd>seaweed extract</kwd>
<kwd>charcoal rot disease</kwd>
<kwd>induced resistance</kwd>
<kwd>growth index</kwd>
<kwd>greenhouse cultivation system</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="3"/>
<ref-count count="62"/>
<page-count count="11"/>
<word-count count="7029"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Strawberry (<italic>Fragaria</italic> &#x000D7; <italic>ananassa</italic> Duch.) belonging to the family Rosaceae, sub-family Rosoidea, and the genus <italic>Fragaria</italic>, is one of the most important small fruits of temperate regions, which is widely consumed in the world (Guttridge, <xref ref-type="bibr" rid="B21">2019</xref>). Strawberry is an herbaceous and perennial plant with creeping stems (stolon), which is usually propagated at the commercial level through vegetative methods (production of stolon) (Caleb et al., <xref ref-type="bibr" rid="B9">2016</xref>). Due to the presence of desired conditions for strawberry cultivation, Iran is one of the major producers of strawberries in the Middle East region (Tehranifar and Sarsaefi, <xref ref-type="bibr" rid="B53">2002</xref>).</p>
<p>Strawberry fruit is non-perishable with a limited shelf life and is highly perishable against physical damage and fungal invasion (Figueroa et al., <xref ref-type="bibr" rid="B19">2008</xref>). The charcoal rot disease caused by the fungus <italic>Macrophomina phaseolina</italic> (Tassi) Goid. is one of the most devastating diseases of strawberries globally (Zveibil and Freeman, <xref ref-type="bibr" rid="B61">2005</xref>; Avil&#x000E9;s et al., <xref ref-type="bibr" rid="B3">2008</xref>; Baino et al., <xref ref-type="bibr" rid="B5">2011</xref>; Hutton et al., <xref ref-type="bibr" rid="B24">2013</xref>; S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B43">2013</xref>; Hajlaoui et al., <xref ref-type="bibr" rid="B22">2015</xref>; Baggio et al., <xref ref-type="bibr" rid="B4">2019</xref>). Damage caused by strawberry charcoal rot disease has been estimated to be 15&#x02013;20% of yield reduction or 3&#x02013;4 million dollars per year in the states located in the southeastern United States (Baggio et al., <xref ref-type="bibr" rid="B4">2019</xref>). Every year, this disease destroys 2&#x02013;5% of strawberry plants in the state of Florida, and if the climatic conditions are favorable, it destroys 80% of the field (Baggio et al., <xref ref-type="bibr" rid="B4">2019</xref>). In Iran, <italic>M. phaseolina</italic> has been isolated from the crown and roots of strawberry plants resembling wilting and rotting symptoms in Kurdistan, Mazandaran, and Golestan provinces (Sharifi and Mahdavi, <xref ref-type="bibr" rid="B46">2012</xref>). The fungus produces resistant structures called microsclerotia that can survive for long periods in soil and strawberry debris (Zveibil et al., <xref ref-type="bibr" rid="B62">2012</xref>). These microsclerotia are usually the main source of new infections and their numbers increase in susceptible hosts in the soil and grow continuously for several seasons (Baggio et al., <xref ref-type="bibr" rid="B4">2019</xref>).</p>
<p>The use of alga as fertilizer in agriculture has been common since ancient times in the Roman Empire (Pereira and Cotas, <xref ref-type="bibr" rid="B39">2019</xref>). Alga extract is more useful than chemical fertilizer due to its biodegradable, non-toxic, and environmentally friendly properties. These are the most important reasons for using alga extract in recent years for sustainable agriculture in organic and integrated agriculture (Mukherjee and Patel, <xref ref-type="bibr" rid="B35">2020</xref>). In the last decade, the use of natural plant biostimulants has become widespread (Drobek et al., <xref ref-type="bibr" rid="B14">2019</xref>). Induction of plant defense mechanisms using polysaccharide or oligosaccharide extracted from the alga, which have a promising protective and strategic strategy (Benhamou and Rey, <xref ref-type="bibr" rid="B7">2012</xref>). Alga extract has been used directly or mixed with soil as compost, which ultimately increases soil fertility (Khan et al., <xref ref-type="bibr" rid="B26">2009</xref>; Craigie, <xref ref-type="bibr" rid="B12">2011</xref>). The positive effects of alga extract on improving yield and improving the resistance level of garden and agricultural plants to biotic and abiotic stresses have been reported by several researchers (Park et al., <xref ref-type="bibr" rid="B37">2005</xref>; Erulan et al., <xref ref-type="bibr" rid="B17">2009</xref>; Mansori et al., <xref ref-type="bibr" rid="B30">2015</xref>; Shukla et al., <xref ref-type="bibr" rid="B50">2017</xref>, <xref ref-type="bibr" rid="B49">2018</xref>; El-Sheekh et al., <xref ref-type="bibr" rid="B16">2020</xref>, <xref ref-type="bibr" rid="B15">2021</xref>; Mostafa et al., <xref ref-type="bibr" rid="B33">2022</xref>). It was hypothesized that the use of macroalgal extract can reduce the damage of charcoal rot disease in strawberry plants. The goal of this study was to use the extract of brown alga (<italic>Sargassum angustifolium</italic>) for the reduction of <italic>M. phaseolina</italic> effects and improvement of growth indices in strawberry plants under greenhouse conditions.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Plant material and cultivation system</title>
<p>The certified Strawberry plantlets, cultivar Paros, were obtained from a commercial nursery in Sanandaj (Kurdistan province, western Iran). The plantlets were transferred into cylindrical plastic pots (20 cm &#x000D7; 18 cm) containing sterilized soil with a texture consisted of sand (37%), silt (39%), clay (20%), and organic matter (4.0%). The soil texture class was loam. No fertilization was applied to the pots during the experiment. A uonset greenhouse (height: 3 m, diameter: 6 m), with polyethylene cover and pad &#x00026; fan cooling system located in Mollasani city [longitude (&#x003BB;): 48.8648334, latitude (&#x003D5;): 31.6242601], was used. The conditions of the greenhouse (temperature: 22 &#x000B1; 3&#x000B0;C, relative humidity: 45 &#x000B1; 5%, 12-h photoperiod) were regularly checked in terms of temperature and humidity. After 30 days, the first flowers were removed for better plant growth, and then the treatments were applied. The treatments were applied before the emergence of flowers, and after the fruits reached commercial maturity, they were harvested manually, wrapped in foil, instant frozen in liquid nitrogen, and stored at &#x02212;70&#x000B0;C for further experiments.</p>
</sec>
<sec>
<title>Preparation of alga extract</title>
<p>The brown alga (<italic>S. angustifolium</italic>) was collected from the shores of Chabahar, southeastern Iran (25.300278&#x000B0;N 60.612778&#x000B0;E), and transferred to the laboratory. To remove impurities, the alga was first washed with deionized distilled water (ddH<sub>2</sub>O) and impurities were removed. After air-drying for 10 days, the tissues were then ground using a grinder. To prepare the aqueous solution, 50 g of alga powder and 500 mL of ddH<sub>2</sub>O were shacked at room temperature. Then it was boiled for 60 min and filtrated. A stock solution of the extract with a concentration of 5 mg/mL was prepared and used for the assay (Sivasankari et al., <xref ref-type="bibr" rid="B52">2006</xref>; Ramarajan et al., <xref ref-type="bibr" rid="B40">2012</xref>).</p>
</sec>
<sec>
<title>Fungal inoculation</title>
<p>A virulent isolate (MP) of <italic>M. phaseolina</italic> was prepared from the Fungal Culture Collection of Shiraz University (Shiraz, Iran). Fungal microsclerotia were obtained without culture, by placing a block of agar culture containing active fungal mycelium in a flask containing potato extract and dextrose (Short and Wyllie, <xref ref-type="bibr" rid="B48">1978</xref>). The flask was incubated for 3 months at room temperature until thick tangled strands of microsclerotia were formed. These thick tangled strands were removed and washed 3 times with ddH<sub>2</sub>O and dried at 35&#x000B0;C and then it was ground gently with a mortar. Microsclerotia was mixed with 1,000 g of sterile sand and stored at 4&#x000B0;C. Before inoculation, this mixture was added to the soil required to be contaminated by the pathogen (Goudarzi et al., <xref ref-type="bibr" rid="B20">2011</xref>).</p>
</sec>
<sec>
<title>Treatments</title>
<p>The treatments were divided into four groups: control, pathogen (<italic>M. phaseolina</italic>), alga (<italic>S. angustifolium</italic>), and alga-pathogen. Control included non-treated pathogen-free plants irrigated with 180 mL of ddH<sub>2</sub>O every 2 days. In the pathogen treatment, the soil next to the crown was replaced with 1,000 g of infested sand containing 100 viable of the fungus microsclerotia/g soil that was prepared in advance, and irrigation was applied. In case of non-inoculated plants, 1,000 g of pathogen-free sterilized sand was placed around their crown. In the alga-pathogen and alga treatment, 7.0 mL the algae extract (5 mg/mL concentration) was applied as a foliar spray every 3 days, and the application of this treatment continued until the appearance of flowers, and after the appearance of flowers and fruits, irrigation was conducted. The experiment was terminated 120 days post incubation in the greenhouse. A completely randomized design with total number of 4 replications per treatment was used and the experiments were performed two times.</p>
</sec>
<sec>
<title>Evaluation of disease severity</title>
<p>The disease severity caused by <italic>M. phaseolina</italic> in strawberry plants was visually evaluated for the inoculated plants 92 days post inoculation. To this end, each plant was inspected and scored from 0 to 5 according the developed symptoms (<xref ref-type="table" rid="T1">Table 1</xref>). The percentage of disease severity index (DSI) was then measured using Equation (1) which has been previously described by Camara et al. (<xref ref-type="bibr" rid="B10">2013</xref>):</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>D</mml:mi><mml:mi>S</mml:mi><mml:mi>I</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>%</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:munderover accentunder="false" accent="false"><mml:mrow><mml:mo>&#x02211;</mml:mo></mml:mrow><mml:mrow><mml:mi>e</mml:mi><mml:mo>=</mml:mo><mml:mn>0</mml:mn></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:munderover></mml:mstyle><mml:mfrac><mml:mrow><mml:mi>e</mml:mi><mml:mi>R</mml:mi><mml:mi>e</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mn>100</mml:mn></mml:mrow><mml:mrow><mml:mn>5</mml:mn><mml:mi>N</mml:mi></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>In which DSI = disease severity index; <italic>e</italic> = class; Re = number of plants in class &#x020AC;; <italic>N</italic> = total number of plants.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Symptom severity classes on the pathogen-inoculated strawberry plants.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff;"><bold>Class</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff;"><bold>Symptom</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="left">No symptom</td>
</tr> <tr style="border-top: thin solid #000000;">
<td valign="top" align="left">1</td>
<td valign="top" align="left">Partial root blackening</td>
</tr> <tr style="border-top: thin solid #000000;">
<td valign="top" align="left">2</td>
<td valign="top" align="left">Total root blackening</td>
</tr> <tr style="border-top: thin solid #000000;">
<td valign="top" align="left">3</td>
<td valign="top" align="left">Total root blackening and leaf necrosis</td>
</tr> <tr style="border-top: thin solid #000000;">
<td valign="top" align="left">4</td>
<td valign="top" align="left">Total root blackening, leaf necrosis and reduced fruit size</td>
</tr> <tr style="border-top: thin solid #000000;">
<td valign="top" align="left">5</td>
<td valign="top" align="left">Overall wilting</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Vegetative and reproductive indices</title>
<p>The vegetative and reproductive growth of strawberry plants were mainly determined according to Breen and Martin (<xref ref-type="bibr" rid="B8">1981</xref>). Vegetative traits included plant height, root length, aerial length, fresh weight of aerial organs, and dry weight of root. Also, reproductive indices included fruit number, fruit weight, fruit length and diameter, and fruit volume. Water displacement technique was used to measure the fruit size. The indices were measured at the end of the experiment.</p>
</sec>
<sec>
<title>Total phenol</title>
<p>To measure the amount of total phenol in the leaf, the Folin-Cicalito reagent was used (Singleton and Rossi, <xref ref-type="bibr" rid="B51">1965</xref>). For this purpose, 1,500 &#x003BC;L of Folin-Cicalito reagent diluted with a ratio of one to ten (1:10) was added to 300 &#x003BC;L of the leaf homogenate (1 g) and placed at room temperature (25&#x000B0;C) for 5 min. 1,200 &#x003BC;L of 7.5% sodium carbonate were added to the resulting mixture and placed on a shaker in a dark place for 90 min. Six mL of ddH<sub>2</sub>O were added to the solution and finally, the absorbance number at 765 nm wavelength was recorded with a spectrophotometer (made in the USA&#x02014;model 2100-UV). The amount of total phenol was calculated using the standard curve of gallic acid and the results were expressed in terms of mg of gallic acid per 100 g of fresh fruit weight. To prepare gallic acid standard solutions, 0.1 g of gallic acid was dissolved in ddH<sub>2</sub>O and the final volume was brought to 100 mL using distilled water. Then, to prepare 0, 10, 20, 30, 40, 80, 160, 320, and 480 mg/100 mL standards, 0, 0.1, 0.2, 0.3, 0.4, 8 0.0, 1.6, 3.2, and 4.8 mL of gallic acid solution were removed and made up to 10 mL using ddH<sub>2</sub>O. Then, 300 &#x003BC;L were taken from the standards, and the rest of the steps were carried out like the samples.</p>
</sec>
<sec>
<title>Flavonoids</title>
<p>For extraction, one g of strawberry leaf was kept with 8 mL of 80% methanol for 12 h at 4&#x000B0;C. Then it was centrifuged at 8,000 <italic>g</italic> for 25 min at 4&#x000B0;C. To measure the flavonoids, one mL of supernatant was mixed with 0.5 mL of 5% sodium nitrite. After 6 min, 0.5 mL of 10% aluminum chloride and after 6 min, 2 mL of one molar sodium hydroxide were added to the mixture and kept for 15 min. The absorption number at 510 nm wavelength was recorded with a spectrophotometer and the results were reported in terms of mg per 100 g of fresh fruit weight (Li et al., <xref ref-type="bibr" rid="B28">2014</xref>).</p>
</sec>
<sec>
<title>Total antioxidant activity</title>
<p>The total antioxidant activity (TAA) was determined using the free radical reduction method (diphenylpicrylhydrazyl [DPPH]) with the method of Sanchez-Moreno (<xref ref-type="bibr" rid="B44">2002</xref>). First, DPPH solution with a concentration of 0.1 mM was obtained by dissolving 6 mg of DPPH in 100 mL of 80% methanol. This solution was prepared daily in a dark container to measure the inhibition percentage. To prepare the alcoholic extract, 0.3 g of leaf sample was pounded with 3 mL of solvent in the dark and shaken at 100&#x000B0;C for 30 min. After that, it was centrifuged for 10 min at 4&#x000B0;C at 5,000 rpm and the supernatant extract was used to measure TAA. For this purpose, 75 &#x003BC;L of the alcoholic extract was taken and 2,925 &#x003BC;L of DPPH solution was added to it. The samples were placed in the dark chamber for 30 min. The absorbance of the samples was measured at a wavelength of 517 nm (<italic>A</italic><sub>517</sub>) using a spectrophotometer. The control sample was read using DPPH solution without adding the extract. Finally, using Equation (2), the inhibition percentage of the samples was calculated:</p>
<disp-formula id="E2"><label>(2)</label><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>I</mml:mi><mml:mi>n</mml:mi><mml:mi>h</mml:mi><mml:mi>i</mml:mi><mml:mi>b</mml:mi><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mi>i</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>%</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#x000A0;</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi>C</mml:mi><mml:mi>A</mml:mi><mml:mo>-</mml:mo><mml:mi>S</mml:mi><mml:mi>A</mml:mi><mml:mtext>&#x000A0;</mml:mtext></mml:mrow><mml:mrow><mml:mi>C</mml:mi><mml:mi>A</mml:mi></mml:mrow></mml:mfrac><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mn>100</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>In which CA is the absorbance of the control and SA is the absorbance of the sample.</p>
</sec>
<sec>
<title>Polyphenol oxidase activity</title>
<p>To measure the activity of polyphenol oxidase (PPO) according to the proposed method (Worthington, <xref ref-type="bibr" rid="B56">1988</xref>), one mL of 50 mM sodium phosphate buffer, one mL of 1 mM tyrosine, and 900 &#x003BC;L of ddH<sub>2</sub>O were placed into the cuvette and 100 &#x003BC;L of enzyme extract was added to the cuvette. It was added and the increase in absorbance at 280 nm wavelength was recorded using a spectrophotometer at 2, 4, 6, 8, 10, and 12 min. By placing the absorbance changes (the difference between the highest and the lowest number read during 12 min, which is linear) in Equation (3), the amount of enzyme activity was calculated in mg/g/min.</p>
<disp-formula id="E3"><label>(3)</label><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>E</mml:mi><mml:mi>n</mml:mi><mml:mi>z</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>e</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mi>a</mml:mi><mml:mi>c</mml:mi><mml:mi>t</mml:mi><mml:mi>i</mml:mi><mml:mi>v</mml:mi><mml:mi>i</mml:mi><mml:mi>t</mml:mi><mml:mi>y</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>m</mml:mi><mml:mi>g</mml:mi><mml:mo>/</mml:mo><mml:mi>g</mml:mi><mml:mo>/</mml:mo><mml:mi>m</mml:mi><mml:mi>i</mml:mi><mml:mi>n</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mi>A</mml:mi><mml:mn>280</mml:mn><mml:mo>/</mml:mo><mml:mi>m</mml:mi><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mn>50</mml:mn></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec>
<title>Phenylalanine ammonia-lyase activity</title>
<p>Phenylalanine ammonia-lyase (PAL) activity was measured using the method of Zucker (<xref ref-type="bibr" rid="B60">1968</xref>). First, one g of leaf tissue was crushed with 5 mL of sodium borate buffer [pH 8.8]. Then the prepared solution was centrifuged at 12,000 rpm for 10 min. Five hundred microliter of the centrifuged extract, two mL of sodium borate buffer with 500 &#x003BC;L of 20 mM phenylalanine solution were poured into a tube and placed in a hot water bath for one h at 37&#x000B0;C was placed. Enzyme activity was determined by measuring the absorbance of the solution at a wavelength of 290 nm for one h with an interval of 15 min and was reported as units per mg of enzyme extract protein (U/mg protein).</p>
</sec>
<sec>
<title>Data analysis</title>
<p>All data collected during the experiment were transferred into Excel software and prepared for statistical analysis. Data analysis was performed using SAS software (v. 9.4) (Yuan, <xref ref-type="bibr" rid="B57">2011</xref>). The statistical design used in this study was a completely randomized design with 4 replications and the means were compared based on Duncan&#x00027;s multiple range test with an alpha error level of 5%. In the case of biochemical experiments, technical (sample) and biological (plant) replications were considered per treatment. To analyze the data from disease severity index, Kruskal&#x02013;Wallis H test was used and the significance at <italic>P</italic>= 0.01 level was determined.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Disease severity</title>
<p>The symptoms of the disease including blackening of root and crown, reduction of leaf area, leaf necrosis, reduction of fruit size, and decreased number of fruits were observed on <italic>M. phaseolina-</italic>inoculated plants 92 days post inoculation (dpi) (<xref ref-type="fig" rid="F1">Figure 1a</xref>). Strawberry plants inoculated with the fungus were treated with the alga extract. In these plants, there are fewer symptoms compared to the non-treated plants (<xref ref-type="fig" rid="F1">Figure 1b</xref>). Healthy strawberry plants treated with the alga extract showed improved vegetative growth (<xref ref-type="fig" rid="F1">Figure 1c</xref>). <xref ref-type="fig" rid="F1">Figure 1D</xref> shows the comparison of strawberry fruits among different treatments at 92 dpi. Accordingly, in plants treated with the alga extract, the size of the fruits was larger than those of non-treated plants (<xref ref-type="fig" rid="F1">Figure 1d</xref>). In contrast, the infected plants which had not been treated with the alga extract produced the smallest fruits. Also, infected plants treated with the alga extract produced larger fruits compared to infected non-treated plants. Evaluation of disease severity showed that alga-treated infected plants had a significantly lower disease severity index (20%) than non-treated infected plants (80%). These results showed that foliar application of <italic>S. angustifolium</italic> extract to strawberry plants can reduce the disease severity caused by <italic>M. phaseolina</italic>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Phenotypic responses of strawberry plant to the fungal pathogen (<italic>M. phaseolina</italic>) among different treatments 92 days post inoculation. <bold>(a)</bold> Symptoms of charcoal rot in the pathogen-inoculated plant (P) compared to non-inoculated plant (C); <bold>(b)</bold> vegetative growth of infected plants pre-treated with the alga (<italic>S. angustifolium</italic>) extract (A &#x0002B; P); <bold>(c)</bold> vegetative growth of non-inoculated plants pre-treated with the alga extract (A); <bold>(d)</bold> comparison of fruits from plants under the different treatments.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsufs-06-1089553-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Vegetative indices</title>
<p>Statistical analysis of the data from the effect of different treatments on strawberry plant length showed that the highest plant length (29.75 cm) was related to the plants under alga extract treatment, while the lowest plant length was found in non-treated infected plants (17 cm) (<xref ref-type="table" rid="T2">Table 2</xref>). Also, the length of the plant treated with alga extract was significantly higher than the other treatments, and the length of the infected plants was significantly lower than other treatments. The difference between the length values of non-infected alga-treated plants and infected alga-treated plants was not significant.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Effect of different treatments on vegetative indices of the strawberry plant.</p></caption>
<table frame="box" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff;"><bold>Treatment<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center" colspan="5" style="background-color:#919497; color:#ffffff;"><bold>Vegetative index<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></bold></th>
</tr>
<tr>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Height (cm)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Root length (cm)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Aerial length (cm)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fresh weight of aerial organs (g)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Dry weight of root (g)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">A</td>
<td valign="top" align="center">29.75<sup>a</sup></td>
<td valign="top" align="center">18.00<sup>a</sup></td>
<td valign="top" align="center">12.00<sup>b</sup></td>
<td valign="top" align="center">12.025<sup>a</sup></td>
<td valign="top" align="center">10.04<sup>ab</sup></td>
</tr> <tr>
<td valign="top" align="left">A &#x0002B; P</td>
<td valign="top" align="center">27.00<sup>b</sup></td>
<td valign="top" align="center">13.00<sup>b</sup></td>
<td valign="top" align="center">14.00<sup>a</sup></td>
<td valign="top" align="center">10.34<sup>b</sup></td>
<td valign="top" align="center">9.00<sup>b</sup></td>
</tr> <tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">17.00<sup>c</sup></td>
<td valign="top" align="center">8.00<sup>d</sup></td>
<td valign="top" align="center">10.75<sup>c</sup></td>
<td valign="top" align="center">5.84<sup>d</sup></td>
<td valign="top" align="center">5.58<sup>c</sup></td>
</tr> <tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">20.50<sup>c</sup></td>
<td valign="top" align="center">10.75<sup>c</sup></td>
<td valign="top" align="center">10.50<sup>c</sup></td>
<td valign="top" align="center">7.71<sup>c</sup></td>
<td valign="top" align="center">10.97<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;</label><p>A, alga (S. angustifolium) extract; P, pathogen (M. phaseolina); A &#x0002B; P, alga-treated pathogen-infected; C, control.</p></fn>
<fn id="TN2"><label>&#x02020;</label><p>Letters show the significant difference between the treatments according to the results of Duncan&#x00027;s multiple range test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Similarly, the highest root length (18 cm) was found in non-infected alga-treated plants, while non-treated infected plants showed the lowest root length (8 cm) (<xref ref-type="table" rid="T2">Table 2</xref>). The root length of infected alga-treated plants was significantly higher than infected non-treated plants.</p>
<p>The highest value of aerial length (14 cm) was recorded for infected alga-treated plants (<xref ref-type="table" rid="T2">Table 2</xref>). The second highest value of aerial length (12 cm) belonged to non-inoculated alga treatment plants. The remaining plants did not show any significant difference in aerial length.</p>
<p>The non-inoculated alga-treated plants showed the highest fresh weight of the aerial organs (12.025 g), while non-treated infected plants exhibited the lowest fresh weight of aerial organs (5.84 g) (<xref ref-type="table" rid="T2">Table 2</xref>). Furthermore, this index in infected alga-treated plants was significantly higher than in non-treated infected plants.</p>
<p>The dry weight of roots in control plants was determined as the highest value (10.97 g), while non-treated infected plants showed the lowest value (5.58 g) (<xref ref-type="table" rid="T2">Table 2</xref>). Also, this index in alga-treated infected plants was significantly higher than in non-treated infected plants. The difference between the dry weight of roots of non-infected alga-treated plants and infected alga-treated plants was not significant.</p>
</sec>
<sec>
<title>Reproductive indices</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows the effect of alga treatment on infected and non-infected strawberry plants. The mean number of fruits (5.50) in the alga-treated plants was significantly larger than that of other plants. Also, the significantly smallest mean number of fruits (3.00) was found in the non-treated infected plants compared to other treatments. Similarly, the highest value of fruit weight (8.86 g) and fruit volume (10.37 g/mL) were observed in alga-treated plants. These indices in non-treated infected plants were significantly lower than in plants under other treatments. Also, the highest fruit diameter was found in alga-treated plants and alga-treated infected plants (16.87 mm and 16.56 mm, respectively). The non-treated infected plants showed the lowest fruit diameter (12.5 mm) compared to other plants. The highest fruit length (27.287 mm) belonged to the alga-treated plants. The non-treated infected plants showed the lowest fruit diameter (12.50 mm) compared to plants under other treatments. There was no significant difference between the fruit diameter of alga-treated infected plants and control plants.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Effect of different treatments on reproductive indices of the strawberry plant.</p></caption>
<table frame="box" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff;"><bold>Treatment<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center" colspan="5" style="background-color:#919497; color:#ffffff;"><bold>Reproductive index<xref ref-type="table-fn" rid="TN4"><sup>&#x02020;</sup></xref></bold></th>
</tr>
<tr>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fruit number</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fruit weight (g)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fruit volume (g/mL)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fruit diameter (mm)</bold></th>
<th valign="top" align="center" style="background-color:#919497; color:#ffffff;"><bold>Fruit length (mm)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">A</td>
<td valign="top" align="center">5.50<sup>a</sup></td>
<td valign="top" align="center">8.86<sup>a</sup></td>
<td valign="top" align="center">10.37<sup>a</sup></td>
<td valign="top" align="center">16.87<sup>a</sup></td>
<td valign="top" align="center">27.87<sup>a</sup></td>
</tr> <tr>
<td valign="top" align="left">A &#x0002B; P</td>
<td valign="top" align="center">4.25<sup>b</sup></td>
<td valign="top" align="center">7.38<sup>b</sup></td>
<td valign="top" align="center">7.93<sup>b</sup></td>
<td valign="top" align="center">16.56<sup>a</sup></td>
<td valign="top" align="center">22.79<sup>b</sup></td>
</tr> <tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">3.00<sup>d</sup></td>
<td valign="top" align="center">4.11<sup>d</sup></td>
<td valign="top" align="center">3.87<sup>d</sup></td>
<td valign="top" align="center">12.50<sup>c</sup></td>
<td valign="top" align="center">20.02<sup>c</sup></td>
</tr> <tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">3.50<sup>c</sup></td>
<td valign="top" align="center">5.48<sup>c</sup></td>
<td valign="top" align="center">5.68<sup>c</sup></td>
<td valign="top" align="center">14.00<sup>b</sup></td>
<td valign="top" align="center">22.65<sup>b</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN3"><label>&#x0002A;</label><p>A, alga (S. angustifolium) extract; P, pathogen (M. phaseolina); A &#x0002B; P, alga-treated pathogen-infected; C, control.</p></fn>
<fn id="TN4"><label>&#x02020;</label><p>Letters show the significant difference between the treatments according to the results of Duncan&#x00027;s multiple range test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Biochemical factors</title>
<p>The results showed that alga-treated plants had a significant effect on the total phenol, flavonoids, and TAA of strawberries (<xref ref-type="fig" rid="F2">Figure 2</xref>). Alga-treated infected plants had significantly more phenol content (1.60 mg/g) and flavonoids (1.44 mg/g) than plants under other treatments (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The lowest phenol content and flavonoids were found in control plants (0.93 mg/g and 0.51 mg/g, respectively). Phenol content and flavonoids were not significantly different between alga-treated and non-treated infected plants (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The highest level of TAA (0.2) was recorded for alga-treated infected plants (<xref ref-type="fig" rid="F2">Figure 2C</xref>). In contrast, non-treated infected plants showed the lowest level of TAA (0.06).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Effect of different treatments [A, alga (<italic>S. angustifolium</italic>) extract; A &#x0002B; P, pathogen (<italic>M. phaseolina</italic>)-inoculated pre-treated with the alga extract; P, pathogen-inoculated; C, control] and on some biochemical factors of the strawberry plant including total phenol <bold>(A)</bold>, flavonoids <bold>(B)</bold>, and total antioxidant activity <bold>(C)</bold>. Letters on bars show the significant difference between the treatments according to the results of Duncan&#x00027;s multiple range test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsufs-06-1089553-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Enzyme activity</title>
<p>The results from the effect of different treatments on the PAL content in strawberry plants showed that the alga-treated infected plants had the highest enzyme content (0.89 U/mg) found while the lowest amount of PAL enzyme was recorded for alga-treated non-infected plants (0.54 U/mg) (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The content of the PAL enzyme was not significantly different between non-treated infected and control plants (<xref ref-type="fig" rid="F3">Figure 3A</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Effect of different treatments [A, alga (<italic>S. angustifolium</italic>) extract; A &#x0002B; P, pathogen (<italic>M. phaseolina</italic>)-inoculated pre-treated with the alga extract; P, pathogen-inoculated; C, control] and on the activity of strawberry enzymes including PAL <bold>(A)</bold> and PPO <bold>(B)</bold>. Letters on bars show the significant difference between the treatments according to the results of Duncan&#x00027;s multiple range test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsufs-06-1089553-g0003.tif"/>
</fig>
<p>In the alga-treated infected plants, the highest amount (0.65 mg/g/min) of PPO enzyme was found while the lowest value was determined in the alga-treated non-infected plants (0.34 mg/g/min) (<xref ref-type="fig" rid="F3">Figure 3B</xref>). These results showed that foliar application of alga extract can significantly increase the content of PAL and PPO in infected plants.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Algae affect crops to increase plant growth, plantlet growth, and secondary root growth. They can also improve nutrient composition, fruit set, pest and disease resistance, improve stress response (drought, salinity, and temperature) (Mukherjee and Patel, <xref ref-type="bibr" rid="B35">2020</xref>). It has been shown that foliar spray of alga extract increases the absorption of nutrients, promoting growth and root development in various crops, such as corn (Jeannin et al., <xref ref-type="bibr" rid="B25">1991</xref>), tomato (Crouch and van Staden, <xref ref-type="bibr" rid="B13">1992</xref>), Arabidopsis (Rayorath et al., <xref ref-type="bibr" rid="B42">2008</xref>), grape (Mugnai et al., <xref ref-type="bibr" rid="B34">2008</xref>), strawberry (Alam et al., <xref ref-type="bibr" rid="B2">2013</xref>), spinach (Fan et al., <xref ref-type="bibr" rid="B18">2013</xref>), okra (Zodape et al., <xref ref-type="bibr" rid="B59">2008</xref>), olive (Chouliaras et al., <xref ref-type="bibr" rid="B11">2009</xref>) and broccoli (Mattner et al., <xref ref-type="bibr" rid="B31">2013</xref>). It has also increased the consumption of nutrients such as nitrogen, phosphorus, potassium, calcium, sulfur, and micronutrients such as magnesium, zinc, manganese, and iron (Crouch and van Staden, <xref ref-type="bibr" rid="B13">1992</xref>; Mancuso et al., <xref ref-type="bibr" rid="B29">2006</xref>; Rathore et al., <xref ref-type="bibr" rid="B41">2009</xref>; Zodape et al., <xref ref-type="bibr" rid="B58">2011</xref>). Similarly, our results showed that the foliar application of a brown alga improved the vegetative indices of strawberry plants including height, root length and fresh weight of aerial organs (<xref ref-type="table" rid="T2">Table 2</xref>). Additionally, strawberry fruit indices including number, weight, diameter and length showed a significant increase in alga-treated plants (<xref ref-type="table" rid="T3">Table 3</xref>) demonstrating the positive effect of macroalgal treatment on growth and yield of strawberry plants. Although the positive effect of an alga (<italic>Ascophyllum</italic> sp.) extract on strawberry growth has been reported previously by Alam et al. (<xref ref-type="bibr" rid="B2">2013</xref>), here we reported a new alga species (<italic>S. angustifolium</italic>) with a beneficial effect. The antifungal activity of seaweeds has been reported against phytopathogenic fungi including <italic>Fusarium oxysporum</italic> (El-Sheekh et al., <xref ref-type="bibr" rid="B16">2020</xref>), <italic>F. solani</italic> (El-Sheekh et al., <xref ref-type="bibr" rid="B15">2021</xref>) and <italic>F. oxysporum</italic> f. sp. <italic>lycopersici</italic> (Mostafa et al., <xref ref-type="bibr" rid="B33">2022</xref>). Particularly, El-Sheekh et al. (<xref ref-type="bibr" rid="B15">2021</xref>) demonstrated that the mycelial growth of <italic>M. phaseolina</italic> was inhibited when cucumber plants were treated with the extract of green seaweeds, <italic>Ulva fasciata</italic>, and <italic>Enteromorpha flexuosa</italic>. Herein, however, the anti-fungal effect of brown alga, <italic>S. angustifolium</italic>, was shown indirectly as foliar treatment of the algal extract could reduce the disease severity caused by <italic>M. phaseolina</italic> in strawberry plants. Marine algae metabolites contain bioactive molecules with anti-fungal, anti-viral, anti-bacterial, and anti-protozoal properties. Usually, metabolites isolated from brown, red, and green algae are stronger than antimicrobial chemicals (Ben Salah et al., <xref ref-type="bibr" rid="B6">2018</xref>). In our experiment, the brown alga and the pathogen were applied in different sites (shoot and crown, respectively), therefore, the reduced disease severity of <italic>M. phaseolina</italic> in alga-treated strawberry plants is not probably due to the anti-fungi metabolites within <italic>S. angustifolium</italic> extract. Alternatively, induced resistance might be the main mechanism by which the alga-treated strawberry plants encounter <italic>M. phaseolina</italic> invasion.</p>
<p>Moreover, algae are a source of stimulants due to the presence of several different polysaccharide compounds. These polysaccharides are involved in primary signaling processes through the activation of plant secondary metabolic pathways and the mobilization of messenger molecules to activate the defense response in the host plant (Paulert et al., <xref ref-type="bibr" rid="B38">2009</xref>; Sharma et al., <xref ref-type="bibr" rid="B47">2014</xref>). Alga polysaccharides make plants resistant to plant pathogens (Mercier et al., <xref ref-type="bibr" rid="B32">2001</xref>; Sangha et al., <xref ref-type="bibr" rid="B45">2015</xref>). The increase in total phenol and flavonoids are general defense responses against biotic agents such as plant pathogens (Wallis and Galarneau, <xref ref-type="bibr" rid="B54">2020</xref>). Similarly, our results demonstrated that foliar application of <italic>S. angustifolium</italic> extract can significantly increase total phenol and flavonoids within strawberry plants (<xref ref-type="fig" rid="F2">Figure 2</xref>) which probably contributes to induced resistance against <italic>M. phaseolina</italic> leading to symptom remission of infected plants (<xref ref-type="fig" rid="F1">Figure 1</xref>). Generally, free radicals are produced as a defensive response to pathogen infection in plant cells which trigger the systemic acquired resistance (SAR) within plant (Agrios, <xref ref-type="bibr" rid="B1">2005</xref>; Wendehenne et al., <xref ref-type="bibr" rid="B55">2014</xref>). The antioxidant activity, however, suppress the oxidation by scavenging the free radicals (Larson, <xref ref-type="bibr" rid="B27">1995</xref>). In our experiment, the alga-treated infected plants exhibited a significant increase in total antioxidant activity (<xref ref-type="fig" rid="F2">Figure 2C</xref>) suggesting that a non-SAR pathway, i.e., induced systemic resistance (ISR) (Heil and Bostock, <xref ref-type="bibr" rid="B23">2002</xref>), is involved in strawberry plant defense against the fungal pathogen. Enzymes such as PAL and PPO are major biomolecules that have a key role in the induced resistance of plants challenged by a pathogen (Ngadze et al., <xref ref-type="bibr" rid="B36">2012</xref>). Herein, the alga-treated infected plants showed a significant increase in the content of two defense-related enzymes, viz. PAL and PPO (<xref ref-type="fig" rid="F3">Figure 3</xref>), suggesting the role of induced resistance in the reduction of disease severity caused by <italic>M. phaseolina</italic>. Taken together, foliar application of <italic>S. angustifolium</italic> extract can elicit the defense responses of strawberry plants challenged by <italic>M. phaseolina</italic> leading to improved growth indices of the plants. Further experiments are required to examine the other application ways to find the optimum method for the alga usage in strawberry greenhouses facing charcoal rot disease.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Algal metabolites are a valuable source of nutrients and elicitors for the improvement of plant growth and encountering biotic agents. Brown alga (<italic>S. angustifolium</italic>) is one of the beneficial macroalgae that has been used in disease management programs. Foliar application of <italic>S. angustifolium</italic> extract can improve both vegetative and reproductive indices of strawberry plants. Furthermore, it can reduce the charcoal rot severity caused by <italic>M. phaseolina</italic> through an increase in the level of total phenol, flavonoids, TAA, and defense-related enzymes (PAL and PPO) within the plants. It is recommended that the macroalga is used against charcoal rot disease in strawberry greenhouses.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>ST mainly conducted this work, performed the experiments, and collected the data. MR-J conceived the study. MG analyzed the data. MR-J and MG mainly wrote the manuscript. All authors edited and approved the final version of the manuscript.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This study was funded by the Agricultural Sciences and Natural Resources University of Khuzestan.</p>
</sec>
<ack><p>The authors appreciate the staff of Central Laboratory in Agricultural Sciences and Natural Resources University, for their technical assistance.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>TAA, Total antioxidant activity; PAL, Phenylalanine ammonia-lyase; PPO, Polyphenol oxidase activity; <italic>S. angustifolium, Sargassum angustifolium</italic>; <italic>M. phaseolina, Macrophomina phaseolina</italic>; &#x000B0;C, Celsius Degree; g, Gram; cm, Centimeter; mm, Millimeter; mg, Milligram; min, Minute; h, Hour; &#x003BC;L, Microliter; l, Liter; ddH<sub>2</sub>O, Deionized distilled water; mL, Milliliter; <italic>g</italic>, Gravity; rpm, Centrifugal rotation speed; DPPH, Diphenylpicrylhydrazyl; mM, Millimolar; nm, Nanometer; <italic>A</italic>, Absorbance; CA, Control absorbance; SA, Sample absorbance; U, Unite; dpi, Days post inoculation; C, Control; P, Pathogen; A, Alga.</p></fn></fn-group>
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