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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.1075633</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title><italic>Lactobacillus helveticus</italic> EL2006H cell-free supernatant enhances growth variables in <italic>Zea mays</italic> (maize), <italic>Glycine max</italic> L. Merill (soybean) and <italic>Solanum tuberosum</italic> (potato) exposed to NaCl stress</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Naamala</surname><given-names>Judith</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/1194012/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Msimbira</surname><given-names>Levini A.</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/990570/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Subramanian</surname><given-names>Sowmyalakshmi</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/181089/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Smith</surname><given-names>Donald L.</given-names></name><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/127867/overview"/>
</contrib>
</contrib-group>
<aff>
<institution>Department of Plant Science, McGill University</institution>, <addr-line>Montreal, QC</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Maurizio Ruzzi, University of Tuscia, Italy</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Marika Pellegrini, University of L&#x2019;Aquila, Italy; Elizabeth Temitope Alori, Landmark University, Nigeria; Sushil K. Sharma, National Institute of Biotic Stress Management, India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Donald L. Smith, &#x02709; <email>donald.smith@mcgill.ca</email>
</corresp>
<fn id="fn0003" fn-type="other">
<p>This article was submitted to Microbe and Virus Interactions With Plants, a section of the journal Frontiers in Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1075633</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Naamala, Msimbira, Subramanian and Smith.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Naamala, Msimbira, Subramanian and Smith</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>Plant growth promoting microorganisms and their derived compounds, such as cell-free supernatant (CFS), enhance plant growth under stressed and non stressed conditions. Such technology is sustainable and environmentally friendly, which is desirable amidst the climate change threat. The current study evaluated the effect of CFS obtained from <italic>Lactobacillus helveticus</italic> EL2006H on its ability to enhance mean percentage germination and mean radicle length of corn and soybean, as well as growth parameters of potato, using treatment formulations that consisted of 0.2 and 1.0% [v/v] <italic>L. helveticus</italic> EL2006H CFS concentrations and 100&#x2009;mM NaCl and 150&#x2009;mM NaCl levels. Results show that treatment with 100&#x2009;mM NaCl lowered percentage germination of corn by 52.63%, at 72&#x2009;h, and soybean by 50%, at 48&#x2009;h. Treatment with 100 NaCl +0.2% EL2006H enhanced percentage germination of soybean by 44.37%, at 48&#x2009;h, in comparison to that of the 100&#x2009;mM NaCl control. One hundred mM NaCl lowered radicle length of corn and soybean by 38.58 and 36.43%, respectively. Treatment with 100&#x2009;Mm NaCl +1.0% EL2006H significantly increased radicle length of corn by 23.04%. Treatment with 100&#x2009;mM NaCl +0.2% EL2006H significantly increased photosynthetic rate, leaf greenness and fresh weight of potato. Increasing NaCl concentration to 150 NaCl lowered the effectiveness of the 0.2% EL2006H CFS on the same growth variables of potato. In general, the lower CFS concentration of 0.2% was more efficient at enhancing germination in soybean while the higher concentration of 1.0% was more efficient at enhancing radicle length of corn. There was an observed variation in the effectiveness of <italic>L. helveticus</italic> EL2006H CFS across the different CFS concentrations, NaCl levels and crop species studied. In conclusion, based on findings of this study, CFS obtained from <italic>L. helveticus</italic> can be used as a bio stimulant to enhance growth of corn, soybean and potato. However, further studies need to be conducted, for validation, especially under field conditions, for commercial application.</p>
</abstract>
<kwd-group>
<kwd>cell-free supernatant</kwd>
<kwd><italic>Lactobacillus helveticus</italic></kwd>
<kwd>salinity stress</kwd>
<kwd>germination</kwd>
<kwd>radicle length</kwd>
<kwd>plant growth</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="12"/>
<word-count count="8769"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>Plant growth promoting microorganisms (PGPM) live in close association with their host plants, forming a holobiont (<xref ref-type="bibr" rid="ref19">Hartmann et al., 2014</xref>; <xref ref-type="bibr" rid="ref33">Lyu et al., 2021</xref>); these relationships have existed for at least half a billion years (<xref ref-type="bibr" rid="ref24">Knack et al., 2015</xref>). A plant&#x2019;s exudates into its surroundings are a major determinant of the phytomicrobiome composition in its rhizosphere (<xref ref-type="bibr" rid="ref59">Zhang et al., 2017</xref>). The association between PGPM and their host plants can enhance the latter&#x2019;s growth and development, through mechanisms such as biostimulation, mitigation of abiotic stress effects, bioremediation and biocontrol (<xref ref-type="bibr" rid="ref15">Glick, 2012</xref>; <xref ref-type="bibr" rid="ref1">Ahemad and Kibret, 2014</xref>; <xref ref-type="bibr" rid="ref5">Backer et al., 2018</xref>; <xref ref-type="bibr" rid="ref37">Naamala and Smith, 2020</xref>), in a sustainable and environmentally friendly manner (<xref ref-type="bibr" rid="ref38">Naamala and Smith, 2021a</xref>,<xref ref-type="bibr" rid="ref39">b</xref>). PGPM and their derived compounds can be utilised in singular or consortium forms, results varying in such a way that some strains may be more effective when applied as single cells while others, in a consortium (<xref ref-type="bibr" rid="ref14">Giassi et al., 2016</xref>; <xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>; <xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>). <italic>Lactobacillus helveticus</italic> is a gram positive facultative anaerobic lactic acid bacterium (LAB) that is mostly known for its role in the food processing industry. Use of <italic>L. helveticus</italic> in plant agriculture, especially as biostimulants is not widely documented although the use of members of the genera <italic>Lactobacillus</italic> in crop production, as biostimulants and biocontrol agents, among other uses, has been practiced (<xref ref-type="bibr" rid="ref18">Hamed et al., 2011</xref>). Members of the genus <italic>Lactobacillus</italic> are endophytic to a variety of plants species (<xref ref-type="bibr" rid="ref6">Baffoni et al., 2015</xref>; <xref ref-type="bibr" rid="ref34">Minervini et al., 2015</xref>; <xref ref-type="bibr" rid="ref26">Lamont et al., 2017</xref>) while others have been isolated from the rhizosphere of plants. Examples of LAB species that have been used in plant agriculture include <italic>Lactobacillus acidophilus</italic>, <italic>Lactobacillus plantarum</italic>, <italic>Lactobacillus rhamnosus</italic> and <italic>L. helveticus</italic> (<xref ref-type="bibr" rid="ref18">Hamed et al., 2011</xref>; <xref ref-type="bibr" rid="ref8">Caballero et al., 2020</xref>; <xref ref-type="bibr" rid="ref36">Msimbira et al., 2022</xref>). LAB play an important role in fermentation of organic matter to form organic fertilisers used in crop production (<xref ref-type="bibr" rid="ref26">Lamont et al., 2017</xref>; <xref ref-type="bibr" rid="ref8">Caballero et al., 2020</xref>). Lactic acid, a by-product of LAB has been reported to enhance plant growth (<xref ref-type="bibr" rid="ref44">Rodr&#x00ED;guez-Morgado et al., 2017</xref>). LAB strains have been reported to solubilise phosphate, produce siderophores (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>; <xref ref-type="bibr" rid="ref14">Giassi et al., 2016</xref>), produce antimicrobial compounds (<xref ref-type="bibr" rid="ref53">Stoyanova et al., 2012</xref>), produce phytohormones such as indole &#x2212;3- acetic acid [IAA] (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>; <xref ref-type="bibr" rid="ref14">Giassi et al., 2016</xref>) and enhance systemic acquired resistance (<xref ref-type="bibr" rid="ref18">Hamed et al., 2011</xref>), all of which are desirable characteristics of PGPM.</p>
<p>Microbes, such as bacteria and fungi, exude into their growth environment, secondary metabolites such as hormones, enzymes, organic acids, bacteriocins, oligopolysaccharides and siderophores, among others (<xref ref-type="bibr" rid="ref42">Piechulla et al., 2017</xref>; <xref ref-type="bibr" rid="ref45">Schulz-Bohm et al., 2017</xref>; <xref ref-type="bibr" rid="ref28">Lemfack et al., 2018</xref>). In laboratory-based experiments, such metabolites are exuded into the microbe&#x2019;s growth medium. Recent studies have focused on the possibility that such metabolite rich media, also known as cell-free supernatant (CFS) can enhance plant growth without the presence of microbial cells. Experimentation with CFSs has previously yielded interesting results, showing that such CFSs can enhance the growth of different crop species, such as corn, soybean, canola and tomato, at germination and seedling stages (<xref ref-type="bibr" rid="ref36">Msimbira et al., 2022</xref>; <xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>, <xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>). Earlier studies went further and extracted bioactive compounds from the CFS, resulting in the discovery of compounds such as lipo-chitooligosaccharide (LCO) from <italic>Bradyrhizobium japonicum</italic> CFS and thuricin17 from <italic>Bacillus thuringiensis</italic> NEB17 CFS (<xref ref-type="bibr" rid="ref43">Prithiviraj et al., 2003</xref>; <xref ref-type="bibr" rid="ref17">Gray et al., 2006a</xref>,<xref ref-type="bibr" rid="ref16">b</xref>; <xref ref-type="bibr" rid="ref27">Lee et al., 2009</xref>), which are already on the market as plant growth promoting biostimulants. Both compounds have shown efficacy in enhancing plant growth under growth chamber and field conditions (<xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>; <xref ref-type="bibr" rid="ref4">Arunachalam et al., 2018</xref>). They were reported to enhance plant growth under normal and salt-stress conditions (<xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>). It has been reported that the nature of metabolites exuded vary with varying conditions of growth media in which the microbe is growing (<xref ref-type="bibr" rid="ref56">Subramanian et al., 2021</xref>). For instance, the metabolic profile of CFS of a microbe grown under ideal conditions may significantly vary from that of the same microbe exposed to some level of stress, such as low pH or high salinity levels. Not all metabolites exuded in growth media enhance plant growth, although some are the bioactive ingredients that do so. The effectiveness of a bioactive metabolite/CFS also varies across plant species, concentration of the compound, level of stress to which a plant is exposed and growth stage of the plant (<xref ref-type="bibr" rid="ref36">Msimbira et al., 2022</xref>; <xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>; <xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>). This, in a sense, complicates the process of discovering novel microbe derived plant growth promoting compounds as it may require trials on several crop species under different growth conditions, at different concentrations, before bioactivity may be detected. The seemingly long and possibly complicated process is however potentially worth the effort since microbial derived compounds can overcome some issues associated with using microbial cells as inoculants if they are produced in fairly large quantities and are economical to isolate for application. For instance, compounds are less prone to diminished effects under harsh field conditions, are generally required in low concentrations and are easier to store compared to live microbial cells (<xref ref-type="bibr" rid="ref38">Naamala and Smith, 2021a</xref>).</p>
<p>Salinity stress is a major abiotic stress of agricultural crops, resulting in decreased yield quantity and quality which subsequently causes economic losses estimated at US$ 12 billion per year (<xref ref-type="bibr" rid="ref10">FAO, 2020</xref>). It affects leaf area, chlorophyll content, plant vigour, plant height, rootlength, plant dry matter, nutrient, metabolite and protein contents, can delay plant development and at severe stress levels may lead to plant death (<xref ref-type="bibr" rid="ref7">Bistgani et al., 2019</xref>; <xref ref-type="bibr" rid="ref13">Garcia et al., 2019</xref>). Unfortunately, with current climate change projections, reduced rainfall, excess and improper application of inorganic fertilisers and other chemicals, arable land affected by salinity stress is projected to increase by 50% by 2050 (<xref ref-type="bibr" rid="ref22">Jamil et al., 2011</xref>). PGPM and their derived compounds can mitigate the effect of salt stress on plants, hence, allowing better growth, yield quality and yield quantity, in salt affected fields (<xref ref-type="bibr" rid="ref39">Naamala and Smith, 2021b</xref>). The aim of this study therefore was to elucidate the ability of <italic>L. helveticus</italic> EL2006H CFS to enhance germination and radicle length of corn and soybean, and growth parameters of potato, under saline conditions. Results of the study will be a baseline for further studies, with a possibility of isolating and identifying bioactive compounds. This study is part of a broader study that is studying CFSs of the EVL Inc., consortium strains, which comprises <italic>L. helveticus</italic> EL2006H and four other microbial species, in an effort to improve the product and or come up with new product combinations.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1.</label>
<title>Obtaining microbial CFS</title>
<p><italic>L. helveticus</italic> EL2006H was cultured in De man, Rogosa and Sharpe (MRS) medium at pH 7.0, and incubated for 48&#x2009;h, at 120&#x2009;rpm and 37&#x00B0;C. At 48&#x2009;h, the microbial culture was centrifuged for 10&#x2009;min, at 10,000&#x2009;rpm and 4&#x00B0;C, to pellet the microbial cells and separate them from the CFS (<xref ref-type="bibr" rid="ref17">Gray et al., 2006a</xref>,<xref ref-type="bibr" rid="ref16">b</xref>; <xref ref-type="bibr" rid="ref56">Subramanian et al., 2021</xref>). The CFS was further filtered using 0.22&#x2009;&#x03BC;m nylon filters to remove any microbial cells that could have remained after centrifugation. The obtained CFS was then used in the formulation of treatments used in the study.</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Formulation of treatments</title>
<p>Treatments were formulated by mixing known quantities of distilled water, NaCl and CFS. Two NaCl levels, (100&#x2009;mM NaCl and 150&#x2009;mM NaCl) and two CFS levels (1.0 and 0.20% [v/v]) were used in the mixtures to formulate treatments. The two CFS concentrations were chosen because they exhibited positive results with <italic>Bacillus amyloliquefaciens</italic> EB2003 CFS, in our previous study (<xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). 0, 100 and 150&#x2009;mM NaCl, with no addition of CFS were used as negative controls. In addition, for each microbial CFS concentration, a similar concentration of microbial growth medium (not inoculated with microbe), was used to formulate positive controls. A treatment name ending in MRS or EL2006H implies that MRS medium and <italic>L. helveticus</italic> EL2006H CFSs were used, respectively.</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>Set up of germination and radicle length experiments</title>
<p>The germination experiments were carried out in a phytorium located at the Macdonald Campus of McGill University, Sainte Anne de Bellevue, Quebec, Canada. Soybean (cultivar P0962X) and corn (Hybrid 25&#x2009;M75) were used for the study. The two crop species were chosen because they are widely consumed in Canada and the world over. In our previous study, the two species&#x2019; germination and radicle lengths were stimulated by <italic>B. amyloliquefaciens</italic> CFS. The following treatments were used for the study: 0&#x2009;mM NaCl (control), 100&#x2009;mM NaCl (control), 100&#x2009;mM NaCl +0.2% MRS (control), 100&#x2009;mM NaCl +0.2% EL2006H, 100&#x2009;mM NaCl +1.0% MRS (control) and 100&#x2009;mM NaCl +1.0% EL2006H. Treatments with 0.2% EL2006H and 1.0% EL2006H, with their corresponding controls, were studied separately. It should also be noted that each crop was studied separately. Therefore, because each treatment, within each crop species, was studied in a separate experiment and the data obtained analysed separately, a completely randomised design (CRD) was used for each experiment, to randomly apply experimental units to treatments. For each experiment, ten seeds of the crop species under study were surface sterilized using 2% sodium hypochlorite, for 2&#x2009;min, rinsed with 5 changes of sterilized distilled water and placed on petri-plates (Cat. no. 431760, sterile 100&#x2009;&#x00D7;&#x2009;15&#x2009;mm polystyrene Petri dish, Fisher Scientific Co., Whitby, ON, Canada), lined with filter paper (09-795D, QualitativeP8, porosity coarse, Fisher Scientific Co., Pittsburg, PA, United States). Petri plates with seeds then randomly received the treatments with ten replicates per treatment, hence, 40 samples per experiment. The Petri plates were then sealed with parafilm and incubated for 7&#x2009;days in the dark, at 25&#x00B0;C. Total number of germinated seeds per plate was recorded at 24&#x2009;h intervals, for 72&#x2009;h, as a percentage of the total number of seeds in the plate. i.e., (x/10)&#x2217;100, where X is the total number of germinated seeds per petri plate. After 7&#x2009;days, radicle length was measured, in centimeters (cm). For each replicate, radicle length for all the germinated seeds, was summed, to obtain total radicle length of germinated seeds per plate. Each experiment was repeated twice. Percentage germination data for each time interval (24, 48, and 72&#x2009;h) were analyzed separately.</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>Set up of greenhouse experiment</title>
<p>Potato cultivar goldrush was used for the study. Potato is grown and widely consumed in Canada, with a sizable fresh market area of production in Quebec. EVL Inc., the source of the bacterial strains in collaboration with SynAgri, focus on cultivation of potato cultivars. Hence this part of the study was focused on potato&#x2019;s response to treatment with the CFS, under greenhouse conditions. Treatments used for this experiment were: 0&#x2009;mM NaCl (control), 100&#x2009;mM NaCl (control), 100&#x2009;mM NaCl +0.2% MRS (control), 100&#x2009;mM NaCl +0.2% EL2006H, 150&#x2009;mM NaCl (control), 150&#x2009;mM NaCl +0.2% MRS (control) and 150&#x2009;mM NaCl +0.2% EL2006H. Twelve L pots were filled with G7 growth medium were used for plant growth. The rooting medium in each pot was fully saturated with water before sowing one potato seed per pot. At emergence, pots were allocated to treatments following a CRD, with four replicates per treatment, hence, a total of 28 samples. The experiment was repeated twice. A number of excess pots were sown with seed so that on the day of treatment application, only pots with seeds that emerged on the same day were applied to treatments, to minimize initial variation. Two L of treatment were applied twice a week, per pot, for 4&#x2009;weeks after emergence, at which time harvesting was conducted. Data on variables: greenness, photosynthetic rate, leaf area, plant height and plant fresh weight were taken. Leaf greenness was measured in SPAD units, using a SPAD-502 chlorophyll meter at 3&#x2009;weeks after treatment application. Greenness of ten leaves was randomly measured and average greenness recorded. Photosynthetic rate was measured in &#x03BC;mol CO<sub>2</sub> m<sup>&#x2212;2</sup> S<sup>&#x2212;1</sup> using a LI-COR 6400 portable photosynthesis meter (Lincoln, NE, United States), and recorded, 3&#x2009;weeks after treatment application. Plant height was measured using a meter ruler, first, at emergence, just before the first application of treatments and 3&#x2009;weeks after emergence. The difference in height was then recorded. Fresh weight was measured in grams, using a weighing scale balance (ME4001E, CH), 4&#x2009;weeks after emergence. Leaf area was measured in cm<sup>2</sup>, using a leaf area meter (LI-3100 C, Lincoln, NE, United States), 4&#x2009;weeks after emergence.</p>
</sec>
<sec id="sec7">
<label>2.5.</label>
<title>Data analysis</title>
<p>Data obtained from all samples were analyzed using PROC GLM (SAS 9.4 software). Type III tests were used to determine effects of treatments on seed germination while differences between the treatments were assessed using a student t-test with the least square means (LSMEANS) statement, with Tukey&#x2019;s adjustment for multiple comparisons. Differences were considered significant at <italic>p</italic>&#x2009;&#x2264;&#x2009;0.05.</p>
</sec>
</sec>
<sec id="sec8" sec-type="results">
<label>3.</label>
<title>Results</title>
<sec id="sec9">
<label>3.1.</label>
<title>Mean radicle length</title>
<sec id="sec10">
<label>3.1.1.</label>
<title>Corn</title>
<sec id="sec11">
<label>3.1.1.1.</label>
<title>100&#x2009;mM NaCl +1.0% EL2006H</title>
<p>There was a significant effect of <italic>L. helveticus</italic> CFS on radicle length of corn, as shown in <xref rid="fig1" ref-type="fig">Figure 1</xref>. One hundred mM NaCl significantly lowered radicle length of corn by 38.58% (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001) in comparison to the 0&#x2009;mM NaCl control. Treatment with 100&#x2009;mM NaCl +1.0% EL2006H significantly increased mean radicle length of corn by 23.04% (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001). The greatest radicle length was for the 0&#x2009;mM control (55.38&#x2009;cm) while the smallest was for the 100&#x2009;mM NaCl control (35.205&#x2009;cm), which was also not significantly different from the 100&#x2009;mM NaCl +1.0% MRS control (36.735&#x2009;cm).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Effect of treatments on radicle length of corn at 1.0% [v/v]. Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fmicb-13-1075633-g001.tif"/>
</fig>
<p>There was no significant effect of the 0.2% <italic>L. helveticus</italic> CFS on radicle length of corn.</p>
</sec>
</sec>
<sec id="sec12">
<label>3.1.2.</label>
<title>Soybean</title>
<p>There was no significant effect of <italic>L. helveticus</italic> CFS on radicle length of soybean at both 0.2 and 1.0% concentrations, as shown in <xref rid="tab1" ref-type="table">Table 1</xref>. <xref rid="fig2" ref-type="fig">Figure 2</xref> shows the effect of treatments on radicle length of corn (1) and soybean (2).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Effect of treatments on mean radicle length of soybean and corn.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Mean radicle length of soybean (cm)</th>
<th align="center" valign="top">Mean radicle length of corn (cm)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">57.98&#x2009;&#x00B1;&#x2009;2.636<sup>a</sup></td>
<td align="char" valign="top" char=".">49.81&#x2009;&#x00B1;&#x2009;1.879<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">37.43&#x2009;&#x00B1;&#x2009;1.766<sup>b</sup></td>
<td align="char" valign="top" char=".">35.15&#x2009;&#x00B1;&#x2009;1.232<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;Mm NaCl +0.2% EL2006</td>
<td align="char" valign="top" char=".">38.05&#x2009;&#x00B1;&#x2009;1.773<sup>b</sup></td>
<td align="char" valign="top" char=".">38.76&#x2009;&#x00B1;&#x2009;1.193<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;Mm NaCl +0.2% MRS</td>
<td align="char" valign="top" char=".">37.12&#x2009;&#x00B1;&#x2009;2.088<sup>b</sup></td>
<td align="char" valign="top" char=".">40.26&#x2009;&#x00B1;&#x2009;1.705<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">63.355&#x2009;&#x00B1;&#x2009;4. 230<sup>a</sup></td>
<td align="char" valign="top" char=".">55.38&#x2009;&#x00B1;&#x2009;2.084<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">38.910&#x2009;&#x00B1;&#x2009;2.213<sup>b</sup></td>
<td align="char" valign="top" char=".">35.205&#x2009;&#x00B1;&#x2009;2.491<sup>c</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;Mm NaCl +1.0% EL2006</td>
<td align="char" valign="top" char=".">41.195&#x2009;&#x00B1;&#x2009;2.393<sup>b</sup></td>
<td align="char" valign="top" char=".">45.745&#x2009;&#x00B1;&#x2009;2.233<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;Mm NaCl +1.0% MRS</td>
<td align="char" valign="top" char=".">44.445&#x2009;&#x00B1;&#x2009;3.600<sup>b</sup></td>
<td align="char" valign="top" char=".">36.735&#x2009;&#x00B1;&#x2009;2.66<sup>c</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); in a column, different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Effect of treatments on germination and radicle length of corn (1) and soybean (2). From left to right: 0&#x2009;mM NaCl <bold>(A)</bold>, 100&#x2009;mM NaCl <bold>(B)</bold>, 100&#x2009;mM NaCl +0.2% EL2006H <bold>(C)</bold> and 100&#x2009;mM NaCl +0.2% MRS <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="fmicb-13-1075633-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="sec13">
<label>3.2.</label>
<title>Mean percentage germination</title>
<sec id="sec14">
<label>3.2.1.</label>
<title>Soybean</title>
<sec id="sec15">
<label>3.2.1.1.</label>
<title>100&#x2009;mM NaCl +0.2% EL2006</title>
<p>At 24&#x2009;h, there was a significant effect of <italic>L. helveticus</italic> EL2006H CFS on soybean germination. At 48&#x2009;h, CFS significantly enhanced percentage germination of soybean. Treatment with 100&#x2009;mM NaCl lowered percentage germination by 50% in comparison to the 0&#x2009;mM NaCl control. The highest percentage germination was observed in the 0&#x2009;mM NaCl control (84%) while the lowest was observed in soybean treated with 100&#x2009;mM NaCl (42%). Percentage germination of soybean treated with 100&#x2009;mM NaCl +0.2% EL2006H and 100&#x2009;mM NaCl +0.2% MRS were 75.5 and 67.5%, respectively. The two were significantly higher than that observed for the 100&#x2009;Mm NaCl control (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001). In fact, the percentage germination of soybean treated with 100&#x2009;mM NaCl +0.2% EL2006H CFS was significantly higher than that of the 100&#x2009;mM NaCl control, by 44.37% (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001) when treated with CFS and not different from that of the 0&#x2009;mM NaCl control.</p>
<p>At 72&#x2009;h, treatment with microbial CFS did not result in significant differences in the germination of soybean, when compared to the 100&#x2009;mM NaCl control. However, treatments 100&#x2009;mM NaCl +0.2% EL2006H increased percentage germination by 16.1, to a percentage not significantly different from the 0&#x2009;mM NaCl control. <xref rid="tab2" ref-type="table">Table 2</xref> show the effect of treatments on percentage germination of soybean (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Effect of treatments on mean percentage germination of soybean, at 72, 48 and 24&#x2009;h, respectively.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Mean percentage germination at 72&#x2009;h</th>
<th align="center" valign="top">Mean percentage germination at 48&#x2009;h</th>
<th align="center" valign="top">Mean percentage germination at 24&#x2009;h</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">89.5&#x2009;&#x00B1;&#x2009;1.697a</td>
<td align="char" valign="top" char=".">86.0&#x2009;&#x00B1;&#x2009;1.835<sup>a</sup></td>
<td align="char" valign="top" char=".">34.5&#x2009;&#x00B1;&#x2009;2.563<sup>b</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">82.5&#x2009;&#x00B1;&#x2009;3.898<sup>a</sup></td>
<td align="char" valign="top" char=".">66.0&#x2009;&#x00B1;&#x2009;4.834<sup>b</sup></td>
<td align="char" valign="top" char=".">1.00&#x2009;&#x00B1;&#x2009;0.688<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +1.0% EL2006</td>
<td align="char" valign="top" char=".">88.5&#x2009;&#x00B1;&#x2009;3.647<sup>a</sup></td>
<td align="char" valign="top" char=".">70.5&#x2009;&#x00B1;&#x2009;5.452<sup>ab</sup></td>
<td align="char" valign="top" char=".">0.50&#x2009;&#x00B1;&#x2009;0.500<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +1.0% MRS</td>
<td align="char" valign="top" char=".">85.0&#x2009;&#x00B1;&#x2009;3.591<sup>a</sup></td>
<td align="char" valign="top" char=".">74&#x2009;&#x00B1;&#x2009;4.995<sup>ab</sup></td>
<td align="char" valign="top" char=".">1.00&#x2009;&#x00B1;&#x2009;0.688<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); in a column, different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Effect of treatments on mean percentage germination of soybean. Data represents mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fmicb-13-1075633-g003.tif"/>
</fig>
</sec>
<sec id="sec16">
<label>3.2.1.2.</label>
<title>100&#x2009;mM NaCl +1.0% EL2006</title>
<p>At 24&#x2009;h, microbial CFS has not significant effect on germination of soybean. At 48&#x2009;h, soybean treated with 100&#x2009;mM NaCl +1.0% EL2006H and 100&#x2009;mM NaCl +1.0% MRS exhibited percentages of 70.5 and 74%, respectively; both values were not significantly different from that of the 0&#x2009;mM control, and higher, though not significantly different from the percentage germination observed for the 100&#x2009;mM NaCl control. At 72&#x2009;h there was no observed significant difference among the percentage germination of the different treatments.</p>
</sec>
</sec>
<sec id="sec17">
<label>3.2.2.</label>
<title>Corn</title>
<p>There was no significant effect of <italic>L. helveticus</italic> CFS on germination percentage of corn at both 0.2 and 1.0% concentrations, as shown in <xref rid="tab3" ref-type="table">Tables 3</xref>, <xref rid="tab4" ref-type="table">4</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Effect of treatments on mean percentage germination of corn at 72, 48 and 24&#x2009;h, respectively.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Mean percentage germination at 72&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
<th align="center" valign="top">Mean percentage germination at 48&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
<th align="center" valign="top">Mean percentage germination at 24&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">57.0&#x2009;&#x00B1;&#x2009;3.332<sup>a</sup></td>
<td align="char" valign="top" char=".">16.0&#x2009;&#x00B1;&#x2009;2.938<sup>a</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">27.0&#x2009;&#x00B1;&#x2009;4.110<sup>b</sup></td>
<td align="char" valign="top" char=".">3.5&#x2009;&#x00B1;&#x2009;1.817<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +0.2% EL2006</td>
<td align="char" valign="top" char=".">28.5&#x2009;&#x00B1;&#x2009;3.789<sup>b</sup></td>
<td align="char" valign="top" char=".">4.0&#x2009;&#x00B1;&#x2009;1.338<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +0.2% MRS</td>
<td align="char" valign="top" char=".">32.0&#x2009;&#x00B1;&#x2009;3.742<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); in a column, different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Effect of treatments on mean percentage germination of corn at 72, 48 and 24&#x2009;h, respectively.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Mean percentage germination at 72&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
<th align="center" valign="top">Mean percentage germination at 48&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
<th align="center" valign="top">Mean percentage germination at 24&#x2009;h&#x2009;&#x00B1;&#x2009;SEM</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">71.5&#x2009;&#x00B1;&#x2009;5.144<sup>a</sup></td>
<td align="char" valign="top" char=".">15.5&#x2009;&#x00B1;&#x2009;1.846<sup>a</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">30.0&#x2009;&#x00B1;&#x2009;3.770<sup>b</sup></td>
<td align="char" valign="top" char=".">1.0&#x2009;&#x00B1;&#x2009;0.688<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +1.0% EL2006</td>
<td align="char" valign="top" char=".">34.5&#x2009;&#x00B1;&#x2009;3.515<sup>b</sup></td>
<td align="char" valign="top" char=".">1.5&#x2009;&#x00B1;&#x2009;0.819<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +1.0% MRS</td>
<td align="char" valign="top" char=".">26.5&#x2009;&#x00B1;&#x2009;3.185<sup>b</sup></td>
<td align="char" valign="top" char=".">2.0&#x2009;&#x00B1;&#x2009;0.918<sup>b</sup></td>
<td align="char" valign="top" char=".">0.00&#x2009;&#x00B1;&#x2009;0.000<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;80); in a column, different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.2.3.</label>
<title>Greenhouse experiment</title>
<p>While the above germination experiments were to establish the effects of <italic>L. helveticus</italic> CFS on seed/tuber germination as a possible positive plant growth promoter, the greenhouse experiment with potato was to add more value to the commercial application of the CFS, which is one of the goals of SynAgri/EVL&#x2019;s mandate and the crop of importance. Hence, experiments were carried out using potato variety goldrush (as per company&#x2019;s recommendation), to elucidate the effect of <italic>L. helveticus</italic> EL2006H CFS on the growth variables of potato. Results regarding variables varied between treatments.</p>
<sec id="sec19">
<label>3.2.3.1.</label>
<title>Mean leaf greenness</title>
<p>The effect of treatments on mean leaf greenness was significantly different among treatments. Treatment with 100&#x2009;mM and 150&#x2009;mM NaCl resulted in 27.014 and 19.88% decreases in mean leaf greenness, respectively, in comparison to the 0&#x2009;mM NaCl control, the two becoming significantly lower than the later (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001). Treatment with 100&#x2009;mM NaCl +0.2% EL2006 resulted in leaf greenness significantly higher than the 100&#x2009;mM NaCl control by 13.56% (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001) and not significantly different from the 0&#x2009;mM NaCl control, as shown in <xref rid="fig4" ref-type="fig">Figure 4</xref>. Although not significantly different, it was also higher than the 100&#x2009;mM NaCl +0.2% MRS control. There was no significant difference between treatment 150&#x2009;mM NaCl +0.2% EL2006 and its corresponding controls 150&#x2009;mM NaCl and 150&#x2009;mM NaCl +0.2% MRS. <italic>L. helveticus</italic> EL2006H CFS enhanced leaf greenness in potato treated with 100&#x2009;mM NaCl but not 150&#x2009;mM NaCl.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Effect of treatments on leaf greenness <bold>(A)</bold>, photosynthetic rate <bold>(B)</bold> and fresh weight <bold>(C)</bold> of potato. Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;48); different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fmicb-13-1075633-g004.tif"/>
</fig>
</sec>
<sec id="sec20">
<label>3.2.3.2.</label>
<title>Mean photosynthetic rate</title>
<p>There was a significant effect of <italic>L. helveticus</italic> CFS on mean photosynthetic rate. as shown in <xref rid="fig4" ref-type="fig">Figure 4</xref>. Treatment with 100 and 150&#x2009;mM NaCl resulted in 13.76 and 26.6% decreases in photosynthetic rate, respectively, in comparison to the 0&#x2009;mM NaCl control. Treatment with 100&#x2009;mM NaCl +0.2% EL2006 resulted in the highest photosynthetic rate (21.00&#x2009;&#x03BC;mol CO<sub>2</sub> m<sup>&#x2212;2</sup> S<sup>&#x2212;1</sup>), significantly higher than that of the 100&#x2009;mM NaCl control, by 17.97% (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), and higher but not significantly different from the 0&#x2009;mM NaCl control, as shown in <xref rid="fig4" ref-type="fig">Figure 4</xref>. The lowest photosynthetic rate was observed in potato treated with 150&#x2009;mM NaCl (14.863&#x2009;&#x03BC;mol CO<sub>2</sub> m<sup>&#x2212;2</sup> S<sup>&#x2212;1</sup>).</p>
</sec>
<sec id="sec21">
<label>3.2.3.3.</label>
<title>Mean fresh weight</title>
<p>There was a significant effect of <italic>L. helveticus</italic> CFS on fresh weight of potato. One hundred mM NaCl and 150&#x2009;mM NaCl lowered fresh weight of potato by 19.62 and 23.61%, respectively, in comparison to the fresh weight observed for the 0&#x2009;mM NaCl control. Treatment with 100&#x2009;mM NaCl +0.2% EL2006 resulted in potato with fresh weight higher but not significantly different from the 0&#x2009;mM control. It was also significantly higher than the fresh weight of potato treated with 100&#x2009;mM NaCl +0.2% MRS control (<xref rid="fig5" ref-type="fig">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Potato treated with 0&#x2009;mM NaCl <bold>(A)</bold>, 100&#x2009;mM NaCl <bold>(B)</bold>, 100&#x2009;mM NaCl +0.2% MRS <bold>(C)</bold> and 100&#x2009;mM NaCl +0.2% EL2006H <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="fmicb-13-1075633-g005.tif"/>
</fig>
<p>There was no significant effect of <italic>L. helveticus</italic> CFS on leaf area and plant height of potato, as shown in <xref rid="tab5" ref-type="table">Table 5</xref>.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Effect of treatments on selected growth variables of potato.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">Height gain (cm)</th>
<th align="center" valign="top">Leaf area (cm<sup>2</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">37.275&#x2009;&#x00B1;&#x2009;7.531<sup>a</sup></td>
<td align="char" valign="top" char=".">2851.261&#x2009;&#x00B1;&#x2009;158.736<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">32.263&#x2009;&#x00B1;&#x2009;5.739<sup>a</sup></td>
<td align="char" valign="top" char=".">2951.652&#x2009;&#x00B1;&#x2009;180.931<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +0.2% EL2006</td>
<td align="char" valign="top" char=".">34.838&#x2009;&#x00B1;&#x2009;6.937<sup>a</sup></td>
<td align="char" valign="top" char=".">3358.082&#x2009;&#x00B1;&#x2009;156.557<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">100&#x2009;mM NaCl +0.2% MRS</td>
<td align="char" valign="top" char=".">33.113&#x2009;&#x00B1;&#x2009;6.129<sup>a</sup></td>
<td align="char" valign="top" char=".">2943.797&#x2009;&#x00B1;&#x2009;234.763<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">150&#x2009;mM NaCl</td>
<td align="char" valign="top" char=".">38.9&#x2009;&#x00B1;&#x2009;2.282<sup>a</sup></td>
<td align="char" valign="top" char=".">3045.75&#x2009;&#x00B1;&#x2009;157.209<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">150&#x2009;mM NaCl +0.2% EL2006</td>
<td align="char" valign="top" char=".">40.825&#x2009;&#x00B1;&#x2009;1.723<sup>a</sup></td>
<td align="char" valign="top" char=".">2960.841&#x2009;&#x00B1;&#x2009;87.894<sup>a</sup></td>
</tr>
<tr>
<td align="left" valign="top">150&#x2009;mM NaCl +0.2% MRS</td>
<td align="char" valign="top" char=".">40.063&#x2009;&#x00B1;&#x2009;2.233<sup>a</sup></td>
<td align="char" valign="top" char=".">3076.615&#x2009;&#x00B1;&#x2009;211.951<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data represents the mean&#x2009;&#x00B1;&#x2009;SE (<italic>n</italic>&#x2009;=&#x2009;48); in a column, different letters indicate values determined by Tukey&#x2019;s multiple mean comparison significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Values with the same letters are not significantly different at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
</sec>
<sec id="sec22" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>There is a continuous need to increase food production to quantities sufficient to feed the growing human population, without compromising quality, using sustainable and environmentally friendly approaches such as plant growth promoting microorganisms (PGPM) and their derived compounds (<xref ref-type="bibr" rid="ref32">Lyu et al., 2020</xref>; <xref ref-type="bibr" rid="ref48">Shah et al., 2021</xref>). NaCl stress is a major global constraint to food production (<xref ref-type="bibr" rid="ref39">Naamala and Smith, 2021b</xref>). Plant growth promoting microorganisms (PGPM), or their derived compounds have been reported to enhance plant growth under saline conditions (<xref ref-type="bibr" rid="ref47">Schwinghamer et al., 2016</xref>; <xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>; <xref ref-type="bibr" rid="ref21">Ilangumaran et al., 2021</xref>; <xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). However, use of microbial CFS as plant growth biostimulants is less explored, with just a handful of publications available (<xref ref-type="bibr" rid="ref58">Tewari et al., 2020</xref>; <xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>; <xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). It is possibile that CFS could enhance plant growth because microbes exude metabolites into their growth media in response to various signals, such as those related to biotic or abiotic stress (<xref ref-type="bibr" rid="ref56">Subramanian et al., 2021</xref>). Among the exuded metabolites are some that possess phyto-stimulation properties, such as IAA, LCO and thuricin17 (<xref ref-type="bibr" rid="ref43">Prithiviraj et al., 2003</xref>; <xref ref-type="bibr" rid="ref35">Mohite, 2013</xref>; <xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>; <xref ref-type="bibr" rid="ref3">Antar et al., 2021</xref>). In the laboratory setting, such signals/metabolites are exuded into the microbe&#x2019;s growth medium, which when filtered of microbial cells, will still contain the metabolites that can then enhance plant growth (<xref ref-type="bibr" rid="ref17">Gray et al., 2006a</xref>). Consequently, the possible modes of action through CFS could enhance plant growth include presence of phytohormones such as jasmonic acid; presence of enzymes such as ACC deaminase; presence of osmoprotectants such as proline and presence of volatile organic compounds and exopolysaccharides, all of which may function to mitigate osmotic, oxidative and ionic stress associated with salinity (<xref ref-type="bibr" rid="ref12">Forni et al., 2017</xref>; <xref ref-type="bibr" rid="ref23">Khan et al., 2019</xref>; <xref ref-type="bibr" rid="ref9">Cappellari and Banchio, 2020</xref>; <xref ref-type="bibr" rid="ref25">Kumar et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">Fincheira et al., 2021</xref>; <xref ref-type="bibr" rid="ref31">Lopes et al., 2021</xref>). There is limited publication on the role of members of the genus <italic>Lactobacillus</italic> and/or their CFS as plant growth biostimulants (<xref ref-type="bibr" rid="ref18">Hamed et al., 2011</xref>; <xref ref-type="bibr" rid="ref26">Lamont et al., 2017</xref>; <xref ref-type="bibr" rid="ref36">Msimbira et al., 2022</xref>). The modes of action through which members of the genus <italic>Lactobacillus</italic> and their CFSs enhance plant growth are not fully understood (<xref ref-type="bibr" rid="ref26">Lamont et al., 2017</xref>). However, plant growth promotion by LAB species has been attributed to production of metabolites such as IAA and siderophores (<xref ref-type="bibr" rid="ref41">Omer et al., 2010</xref>; <xref ref-type="bibr" rid="ref35">Mohite, 2013</xref>; <xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>; <xref ref-type="bibr" rid="ref29">Limanska N.V. et al., 2015</xref>; Limanska N. et al., <xref ref-type="bibr" rid="ref30">2015</xref>), and solubilisation of phosphorus (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>), among other mechanisms. In general, PGPM and or their derived compounds can mitigate salinity stress by employing one or more of the following mechanisms: Production of antioxidants, production of enzymes such as <italic>ACC</italic> deaminase, production of exopolysaccharides, inducing systemic resistance in plants (<xref ref-type="bibr" rid="ref51">Shrivastava and Kumar, 2015</xref>; <xref ref-type="bibr" rid="ref2">Amna et al., 2019</xref>) and production of microbe-to-plant signal compounds (<xref ref-type="bibr" rid="ref5">Backer et al., 2018</xref>).</p>
<p>The current study focused on the ability of CFS obtained from <italic>L. helveticus</italic> EL2006H to enhance growth of three crop species: corn, soybean and potato, exposed to NaCl stress, under controlled conditions. Results of the study highlight the role CFS concentration, NaCl level, crop species and growth level play in the effectiveness and efficacy of CFS as plant growth biostimulants.</p>
<p>The effect of CFS on mean radicle length varied among crop species, concentration of the CFS, and level of NaCl in the treatment. For instance, treatment with 100&#x2009;mM NaCl +1.0% EL2006H resulted in a significant increase in corn radicle length but not soybean, suggesting crop specific responses. Although some PGPM, such as some <italic>Rhizobium</italic> species, can be promiscuous, enhancing growth in a wide range of crop species, others are host specific, enhancing growth of just one or two crop species (<xref ref-type="bibr" rid="ref32">Lyu et al., 2020</xref>). PGPM and their host plants communicate through signals, which vary depending on the host plant needs (<xref ref-type="bibr" rid="ref3">Antar et al., 2021</xref>). Sometimes, such signals will limit the host range of a particular PGPM. However, such PGPM can produce metabolites that enhance growth in a wide range of crops. For instance, LCO, can enhance growth of non-legumes although it is produced by <italic>B. japonicum</italic>, and plays a major role in nodulation of soybean. It is such advantages that make CFS and plant derived compounds relevant in PGPM technology (<xref ref-type="bibr" rid="ref37">Naamala and Smith, 2020</xref>). Even then, there is not yet a single microbial derived compound or PGPM that enhances growth of all crop species. It is possible that the varied responses to CFS observed in corn, soybean and potato are in part due to variation in ways through which the three crops perceive and respond to the bioactive signals in the CFS. In another study, we also observed variation in soybean and corn responses to <italic>B. amyloliquefaciens</italic> CFS (<xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). The <italic>B. japonicum</italic> derived LCO also exhibited variation in its effect on corn and soybean (<xref ref-type="bibr" rid="ref52">Souleimanov et al., 2002</xref>). At a lower concentration, variations were observed in the response of canola varieties treated with LCO (<xref ref-type="bibr" rid="ref46">Schwinghamer et al., 2015</xref>).</p>
<p>Lowering CFS concentration from 1.0% (v/v) to 0.2% EL2006H CFS resulted in no significant effect on both corn and soybean mean radicle length. This seems to suggest that the concentration and quantity of CFS applied to a plant is vital in determining efficacy and effectiveness of the applied CFS in enhancing plant growth. In this case, especially for corn, higher concentrations resulting in more effective results than lesser concentrations. The same cannot be said about soybean. Its possible that in soybean, perhaps minute quantities of the supernatant were enough to enhance growth. For example, <xref ref-type="bibr" rid="ref36">Msimbira et al. (2022)</xref> observed variation in germination of corn, in response to <italic>Bacillus subtilis</italic> CFS, where a concentration of 0.1% (v/v) yielded better results than higher concentrations of 0.2, 0.4 and 1.0%. It should also be noted that high concentrations may sometimes inhibit growth of the crop in question (<xref ref-type="bibr" rid="ref39">Naamala et al., 2021b</xref>), although there is no universal description of how much is sufficient and this could vary among crop species. Published studies on <italic>L. helveticus</italic> CFS as a plant biostimulant are currently limited to a study by <xref ref-type="bibr" rid="ref36">Msimbira et al. (2022)</xref>. In our previous study on <italic>B. amyloliquefaciens</italic> EB2003 CFS, we observed the effect of CFS concentration on its effectiveness in enhancing germination and radicle length of corn and soybean (<xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). Studies on other members of the genus <italic>Lactobacillus</italic> have also reported concentration as a major determinant of effectiveness and efficacy in plant growth promotion. For instance, radish plants responded differently to varying concentrations of <italic>L. plantarum</italic> (<xref ref-type="bibr" rid="ref20">Higa and Kinjo, 1991</xref>).</p>
<p>Results on mean percentage germination varied between corn and soybean at the two CFS concentrations and three different time frames studied. For instance, in soybean, following treatment with 100&#x2009;mM NaCl +0.2% EL2006H, greatest significance was observed at 48&#x2009;h, where percentage germination of soybean was not only significantly higher than that of the 100&#x2009;mM NaCl control, but was also not significantly different from that of the unstressed 0&#x2009;mM NaCl control. At 24&#x2009;h, there was no observed difference among the effects of treatments for percentage germination. It is however possible that the CFS was already working on the physio-chemical properties of the seed to mitigate the effect of NaCl on the plant, hence the higher percentage germination observed at 48&#x2009;h. The plant also naturally attempts to put in place a defence against stress, but can be slower, which could explain why at 72&#x2009;h, there was no significant difference in the percentage germination of all the treatments on soybean. Therefore, it seems likely that at 48&#x2009;h, CFS mitigated delays in germination due to 100&#x2009;mM stress, resulting in percentage germination levels higher than the stressed control and not significantly different from the unstressed control, which is desirable because slow germination exposes seed to attack by pathogens in the soil, among other disadvantages. Similar results were obtained by <xref ref-type="bibr" rid="ref36">Msimbira et al. (2022)</xref> who observed variation in the effect of EL2006H CFS on germination of corn and tomato across time. <xref ref-type="bibr" rid="ref70">Naamala et al. (2022)</xref> also observed variation in effect of <italic>B. amyloliquefaciens</italic> CFS among 24, 48 and 72&#x2009;h sampling times. In corn however, there was no significant effect of the EL2006H CFS on mean percentage germination at all time intervals. The mean percentage germination of corn was significantly lower than the unstressed control at both 48 and 72&#x2009;h. This again takes us back to the effect of crop species on effectiveness of the CFS. The effect of PGPM CFS and other PGPM derived compounds on seed germination has been reported by other researchers (<xref ref-type="bibr" rid="ref57">Tallapragada et al., 2015</xref>; <xref ref-type="bibr" rid="ref55">Subramanian et al., 2016a</xref>,<xref ref-type="bibr" rid="ref54">b</xref>; <xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>). <italic>Devosia</italic> sp. CFS enhanced germination of canola and soybean under NaCl stressed and optimal conditions (<xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>).</p>
<p>Increasing concentration from 0.2 to 1.0% of CFS yielded less desirable results in soybean as there was no significant difference between mean percentage germination of soybean treated with 100&#x2009;mM NaCl +0.2% EL2006H and 100&#x2009;mM NaCl, at all measurement times, although the percentage germination of the latter was not significantly different from that observed in the 0&#x2009;mM control at 48&#x2009;h. Results seem to suggest that when it comes to mean percentage germination, lesser quantities of the CFS are required to mitigate the effect of NaCl stress on germination of soybean. In corn, CFS had no significant effect on mean percentage germination, with the unstressed control still significantly higher at both 48 and 72&#x2009;h. Shah et al. also observed variations in the germination of canola and soybean treated with a range of concentrations of <italic>Devosia</italic> sp. CFS (<xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>).</p>
<p>In the potato experiment, results exhibited effects of stress level on effectiveness of EL2006H CFS. The supernatant enhanced some growth variables but not all. Specifically, CFS enhanced fresh weight, photosynthetic rate and leaf greenness but not leaf area and plant height. Among the variables enhanced, levels varied across NaCl levels. Better results of the CFS were observed in potato treated with 100&#x2009;mM NaCl than 150&#x2009;mM NaCl. This implies that increasing NaCl level by 50&#x2009;mM reduced effectiveness of the CFS. This is not surprising as its possible that the potential bioactive substance was less effective at 150&#x2009;mM NaCl so that it/they could not function as efficiently as they would at lower concentrations, or, at 150&#x2009;mM NaCl, potato plant cell components could have been damaged (<xref ref-type="bibr" rid="ref21">Ilangumaran et al., 2021</xref>) to a point where even the CFS could not fully mitigate these effects on growth. The effect of NaCl level on the effectiveness of CFS was also observed by <xref ref-type="bibr" rid="ref70">Naamala et al., (2022)</xref> on percentage germination and radicle length of soybean and corn treated with different concentrations of NaCl. The CFS enhanced radicle length in soybean not stressed with NaCl but not in soybean exposed to NaCl while the reverse was true for corn (<xref ref-type="bibr" rid="ref70">Naamala et al., 2022</xref>). <xref ref-type="bibr" rid="ref55">Subramanian et al. (2016a)</xref> also observed that LCO enhanced germination of soybean exposed to 100&#x2009;mM NaCl but not higher NaCl concentrations of 150&#x2009;mM NaCl and 175&#x2009;mM NaCl. Shah et al. observed significant increases in germination of canola and soybean treated with <italic>Devosia</italic> sp. CFS (<xref ref-type="bibr" rid="ref49">Shah et al., 2022</xref>).</p>
<p>The ability of PGPM, LAB included, to enhance plant growth can be affected by plant growth stage and growth variables, in which case a microbial strain or its CFS can enhance plant growth at a certain plant growth stage and not at another or enhance growth of one variable but not the other. For instance, under field conditions, <xref ref-type="bibr" rid="ref50">Shrestha et al. (2014)</xref> observed an increase in growth of pepper plants treated with each of the three LAB they were studying, 1&#x2009;week after transplanting. However, after that stage, only one strain of the three was able to enhance plant height. This, in a way, points out the complexity of depending on the plant-microbe interactions for plant growth stimulation.</p>
<p>Published research on <italic>L. helveticus</italic> as a plant growth biostimulant remains minimal. However, other members of the genus have been reported to enhance plant growth. For example, <italic>L. plantarum</italic> exhibited antimicrobial activity against <italic>Fusarium</italic> spp. in agar plate assays and a consortium consisting of the same and <italic>B. amyloliquefaciens</italic> reduced severity of <italic>Fusarium</italic> spp. in wheat (<xref ref-type="bibr" rid="ref6">Baffoni et al., 2015</xref>). <italic>L. plantarum</italic> ONU 12 expressed antimicrobial properties in carrot, kalanchoe and grapes exposed to <italic>Agrobacterium tumefaciens</italic>, protection ranging from 72.7 to 100% of wounded kalanchoe tissues, depending on mode of application (<xref ref-type="bibr" rid="ref29">Limanska N. et al., 2015</xref>). LAB species KLF01, KLC02 and KPD03 had antagonistic effects against <italic>Xanthomonas campestris pv. vesicatoria</italic> (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>) while strains LB-1, LB-2 and LB-3 increased total fresh weight of tomato plants by 348, 260, and 390%, respectively (<xref ref-type="bibr" rid="ref18">Hamed et al., 2011</xref>). LAB species identified as KLF01, KLC02 and KPD03 were reported to enhance chlorophyll content in pepper (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>). The same strains, except KLC02, were reported to enhance shoot length in pepper (<xref ref-type="bibr" rid="ref50">Shrestha et al., 2014</xref>). Recently, research on PGPM has extended to their CFSs, attempting to elucidate whether it can enhance plant growth in the absence of the microbial cell. The ability of <italic>L. helveticus</italic> CFS at varying pH levels to enhance plant growth was recently reported (<xref ref-type="bibr" rid="ref36">Msimbira et al., 2022</xref>). The effectiveness and efficacy of PGPM or their CFS, including LAB is dependent on several soil, plant and microbe factors, such soil conditions and plant species. A PGPM can enhance growth of one crop species but not another or enhance growth under certain soil conditions, such as under stressed conditions but not under optimal conditions.</p>
<p>At this stage we do not know whether the effect of CFS on the different variables is from a single bioactive compound or more than one; both scenarios are possible. As mentioned earlier, knowledge on the mechanisms employed by members of the genus <italic>Lactobacillus</italic> and or their CFSs to enhance plant growth remain poorly understood.</p>
</sec>
<sec id="sec23" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>Based on the results of this study, it seems likely that <italic>L. helveticus</italic> EL2006H exudes into its growth media substances which enhance radicle length in corn, mean percentage germination in soybean and photosynthetic rate, greenness and mean fresh weight in potato. However, the effect varies depending on crop species, concentration of CFS and level of NaCl stress. <italic>L. helveticus</italic> CFS concentration of 0.2 and 1.0% were more effective at enhancing radicle length in corn and percentage germination in soybean, respectively. One hundred and fifty mM NaCl lowered the effectiveness of the 0.2% concentration in enhancing leaf greenness, mean photosynthetic rate and mean fresh weight of potato. Findings of this study can be used as a basis to further study of <italic>Lactobacillus</italic> CFSs and possibly identify the bioactive substances therein. Findings of this study are promising in the field of microbial inoculants where new ways of improving efficacy and effectiveness of the technology, especially under field conditions, are constantly sought. However, further studies need to be done, especially under field conditions, with trials on different crop species and varying soil conditions.</p>
</sec>
<sec id="sec24" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="sec25">
<title>Author contributions</title>
<p>JN set up the experiment and wrote the manuscript. LM helped with data collection and experimental set up. SS advised on scientific approach and provided background knowledge. DS provided funding, the intellectual context, and extensive editorial input and guided in scientific knowledge. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec018" sec-type="funding-information">
<title>Funding</title>
<p>This work was funded through a grant from Consortium de recherche et innovations en bioproc&#x00E9;d&#x00E9;s industriels au Qu&#x00E9;bec, number CRIBIQ 2017-034-C30, with support from synagri and EVL inc.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<back>
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