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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2022.980046</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Seed Endophyte bacteria enhance drought stress tolerance in <italic>Hordeum vulgare</italic> by regulating, physiological characteristics, antioxidants and minerals uptake</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Abideen</surname>
<given-names>Zainul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1332551"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cardinale</surname>
<given-names>Massimiliano</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zulfiqar</surname>
<given-names>Faisal</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/603474"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Koyro</surname>
<given-names>Hans-Werner</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/239353"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rasool</surname>
<given-names>Sarwat Ghulam</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hessini</surname>
<given-names>Kamel</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/148720"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Darbali</surname>
<given-names>Walid</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Fengliang</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Siddique</surname>
<given-names>Kadambot H.M.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/266236"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Dr. Muhammad Ajmal Khan Institute of Sustainable Halophyte Utilization, University of Karachi</institution>, <addr-line>Karachi</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Plant Ecology, Research Centre for Bio Systems, Land Use, and Nutrition (IFZ), Justus-Liebig-University Giessen</institution>, <addr-line>Giessen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Applied Microbiology, Research Centre for Bio Systems, Land Use, and Nutrition (IFZ), Justus-Liebig-University Giessen</institution>, <addr-line>Giessen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Biological and Environmental Sciences and Technologies (DiSTeBa), University of Salento</institution>, <addr-line>Lecce</addr-line>, <country>Italy</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Horticultural Sciences, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur</institution>, <addr-line>Bahawalpur</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Biology, College of Sciences, Taif University</institution>, <addr-line>Taif</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Science (CATAS)</institution>, <addr-line>Haikou</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>The UWA Institute of Agriculture, The University of Western Australia</institution>, <addr-line>Perth, WA</addr-line>, <country>Australia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Shah Fahad, The University of Haripur, Pakistan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Aamir Hamid Khan, Huazhong Agricultural University, China; Adnan Rasheed, Jiangxi Agricultural University, China; Zhenhua Wei, Northwest A &amp; F University, China; Hyungmin Tony Rho, National Taiwan University, Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zainul Abideen, <email xlink:href="mailto:Zuabideen@uok.edu.pk">Zuabideen@uok.edu.pk</email>; Kadambot H.M. Siddique, <email xlink:href="mailto:kadambot.siddique@uwa.edu.au">kadambot.siddique@uwa.edu.au</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Plant Abiotic Stress, a section of the journal Frontiers in Plant Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>10</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>980046</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>06</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>09</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Abideen, Cardinale, Zulfiqar, Koyro, Rasool, Hessini, Darbali, Zhao and Siddique</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Abideen, Cardinale, Zulfiqar, Koyro, Rasool, Hessini, Darbali, Zhao and Siddique</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>Growth stimulating bacteria help remediate dry arid soil and plant stress. Here, <italic>Pseudomonas</italic> sp. and <italic>Pantoea</italic> sp. we used to study the stress ecology of <italic>Hordeum vulgare</italic> and the environmental impact of water deficit on soil characteristics, growth, photosynthesis apparatus, mineral acquisition and antioxidiant defense. Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> had significantly higher (about 2 folds) soil carbon flux (soil respiration), chlorophyll levels (18%), net photosynthetic rate (33% in <italic>Pantoea</italic> and 54% in <italic>Pseudomonas</italic>), (44%) stomatal conductance than uninoculated plants in stressed conditions. Both bacterial strains improved leaf growth (23-29%) and root development under well-watered conditions but reduced around (25%) root biomass under drought. Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> under drought also increased of about 27% leaf respiration and transpiration (48%) but decreased water use efficiency, photoinhibition (91%), and the risk of oxidative stress (ETR/A) (49%). Drought stress increased most of the studied antioxidant enzymatic activities in the plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic>, which reduce the membrane damage and protect plants form oxidative defenses. Drought stress increased K<sup>+</sup> acquisition around 50% in both shoots inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> relative to non-stressed plants. Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> increased shoot Na<sup>+</sup> while root Na<sup>+</sup> only increased in plants inoculated with <italic>Pseudomonas</italic> in stressed conditions. Drought stress increased shoot Mg<sup>2+</sup> in plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> but did not affect Ca<sup>2+</sup> relative to non-stressed plants. Drought stress increased about 70% K<sup>+</sup>/Na<sup>+</sup> ratio only in plants inoculated with <italic>Pseudomonas</italic> relative to non-stressed plants. Our results indicate that inoculating barley with the studied bacterial strains increases plant biomass and can therefore play a role in the environmental remediation of drylands for food production.</p>
</abstract>
<kwd-group>
<kwd>bacterial inoculation</kwd>
<kwd>ecophysiology</kwd>
<kwd>endophyte (DSE)</kwd>
<kwd>oxidative stress</kwd>
<kwd>photosynthesis</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="4"/>
<ref-count count="84"/>
<page-count count="13"/>
<word-count count="6412"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>    <p>Irregular climate changes, the increasing population, and intensive agriculture are directly connected to land degradation and food shortages, inducing extreme weather events and environmental impacts in many countries (<xref ref-type="bibr" rid="B51">Munir et&#xa0;al., 2021</xref>). Increasing agricultural production, food security and protecting water reserves are critical for sustainable agriculture and environmental safety. Decreased water supply due to declining rainfall affects biological systems, nutrient supply, and crop productivity (<xref ref-type="bibr" rid="B56">Pe&#xf1;a-Gallardo et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B77">Tyagi and Pandey, 2022</xref>). For example, barley (<italic>Hordeum vulgare</italic> L.) biomass and grain yield have substantially declined in arid regions. Limited food crop productivity is associated with reduced water and nutrient flux, causing significant economic losses and socio-economic issues (<xref ref-type="bibr" rid="B42">Kour and Yadav, 2022</xref>). New emerging agricultural techniques are acquired to overcome land degradation and increase crop biomass production (<xref ref-type="bibr" rid="B58">Pittelkow et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B58">Siddiqui et al., 2021</xref>). One strategy is to explore endophytic bacteria, which establish a symbiotic relationship with the host plant and synthesis of nutrients that offer favorable conditions to resist water stress in plants (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B42">Kour and Yadav, 2022</xref>).</p>
<p>Microbial biotechnology is a promising approach for increasing edible plant biomass under stress conditions (<xref ref-type="bibr" rid="B18">Cardoso et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B33">Goudarzi et&#xa0;al., 2023</xref>). Microbial supplementation can significantly promote bioremediation, control phytopathogens, and increase plant physiological performance and productivity on degraded arid lands (<xref ref-type="bibr" rid="B54">Ole&#x144;ska et&#xa0;al., 2020</xref>). Soil microbial supplementation is influenced by root exudates that produce different enzymes and metabolites, nutrient accumulation, and hormone production (<xref ref-type="bibr" rid="B70">Singh and Gupta, 2018</xref>; <xref ref-type="bibr" rid="B83">Zayed et&#xa0;al., 2022</xref>). Plant growth-promoting bacteria (PGPB) improve growth and can protect plants against biotic and abiotic stresses by producing volatile compounds, siderophores, growth hormones, biological nitrogen fixation, and reducing plant ethylene synthesis (<xref ref-type="bibr" rid="B39">Khatoon et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B24">Das et&#xa0;al., 2022</xref>). Identifying the signaling pathways governing the associations between plants and different PGPB can play an important role in improving agricultural production sustainably (<xref ref-type="bibr" rid="B79">Wiggins et&#xa0;al., 2022</xref>).</p>
<p>Changes in root development or leaf elongation can be modulated under drought stress but are closely associated with leaf metabolic status and growth portioning (<xref ref-type="bibr" rid="B41">Knutzen et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B1">Abideen et&#xa0;al., 2021</xref>). Plant-available nutrients (K<sup>+</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup> and N) and carbon metablosim with water accessibility through osmotic balance are important mechanisms of plants for photosynthesis and leaf metabolites production under drought (<xref ref-type="bibr" rid="B1">Abdelaal et&#xa0;al., 2021b</xref>). However, the ecophysiological responses of plants to reach a new homeostasis after PGPB inoculation under water deficit are not well understood. Inoculation with PGPB could facilitate water uptake, protecting leaf desiccation and thus improving turgidity and plant growth (<xref ref-type="bibr" rid="B1">Abdelaal et&#xa0;al., 2021</xref>). Microbial inoculation improves plant ion flux and the synthesis and use of organic solutes for osmotic adjustments (<xref ref-type="bibr" rid="B65">Santander et&#xa0;al., 2017</xref>). In addition, microbial interactions improve stomatal regulation, leaf water use efficiency, and oxidative stress management (<xref ref-type="bibr" rid="B55">Paneque et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B72">Tak et&#xa0;al., 2021</xref>). Plants protect photosystem II (PSII) activity by regulating light harvesting mechanisms critical for biomass production (<xref ref-type="bibr" rid="B62">Saccon et&#xa0;al., 2022</xref>). Low water availability reduces the potential agricultural uses of arable land. However, soil and plants can be supplemented with beneficial bacteria to increase food production. The suitability of selected microbes depends on soil type, bacterial strain and concentration, plant species, and stress conditions. Plant microbiomes are integrated within the host into single units of evolution called holobionts. The seed endosphere is a little-investigated plant microhabitat, more recently receiving attention for its potential as a reservoir and vector of beneficial microbes (<xref ref-type="bibr" rid="B14">Berg and Raijmakers, 2018</xref>; <xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>). Seed endophytes have been detected in many crop plants, including cereals and legumes, and can improve plant growth and ecophysiological parameters (<xref ref-type="bibr" rid="B9">Alibrandi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B47">Liu et&#xa0;al., 2020</xref>). In barley, seed endophytes increased plant biomass activities when used as inoculants (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>).</p>
<p>The two bacterial strains used in this work (Pantoea sp. &#x201c;ITS group 2&#x201d; and Pseudomonas sp. &#x201c;ITS group 11&#x201d;) were selected as best candidates among a series of new isolates from barley seeds (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>). They were demonstrated to be consistently associated to barley seed across a variety of cultivars and years (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>). Taxonomical identification was performed by 16S rRNA gene sequencing and the isolates were characterized at strain level by ITS polymorphism analysis. Due to their superior performance in barley growth promotion and biocontrol activity (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>), these two strains were chosen for the current study. Moreover, they showed ability to efficiently colonize barley roots upon seed germination (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>). This study investigates the potential of selected endophytes to improve biomass and physiology of barley under drought stress. The selection of bacterial strain and appropriate level in dry soil is the key component of this manuscript. Barley was selected due to its importance as a global staple food and the availability of preliminary data using seed endophytes as PGPB (<xref ref-type="bibr" rid="B61">Rahman et&#xa0;al., 2018</xref>). We tested the following hypotheses: 1) Bacterial inoculation enhances soil conditions (soil CO<sub>2</sub> flux), barley growth, nutrient acquisition and plant survival under drought stress; 2) Water limitation improves stomatal resistance and photosynthesis by regulating antioxidiant defense in barley with bacterial inoculation.</p>
</sec>
<sec id="s2">
<title>Material and methods</title>
<sec id="s2_1">
<title>Surface sterilization of seeds</title>
<p>Seeds were submerged in 70% ethyl alcohol (EtOH) for 5 minutes under gentle manual shaking before rinsing with sterile H<sub>2</sub>O for 5 minutes under manual shaking. Next, the seeds were immersed in a 1:1 mixture of Danklorix (~2.4% active NaClO) and disinfection solution (1 g Na<sub>2</sub>CO<sub>3</sub>, 30 g NaCl, 1.5 g NaOH per L distilled water) for 1 h at 25&#xb0;C under mechanical shaking (90 rpm). Finally, the seeds were washed with sterile H<sub>2</sub>O for 10, 20, 30, 40, and 50 minutes at 25&#xb0;C under mechanical shaking (90 rpm).</p>
</sec>
<sec id="s2_2">
<title>Inoculation of surface-sterilized seeds (bio-priming)</title>
<p>There were four treatments: (1) uninoculated, (2) inoculated with <italic>Pantoea</italic> sp. (ITS Group 2), (3) inoculated with <italic>Pseudomonas</italic> sp. (ITS Group 11), and (4) inoculated with <italic>E. coli.</italic> For each treatment, 170 seeds were immersed in ~35 mL of the corresponding bacterial suspension at the following concentrations:</p>
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<p>The bacterial suspensions were obtained by diluting an overnight liquid culture (medium: CASO Bouillon) with sterile 0.03 M MgSO<sub>4</sub>. Seeds of the uninoculated treatment were immersed in 35 mL of sterile 0.03 M MgSO<sub>4</sub>. Inoculation with <italic>E. coli</italic> was used as an additional control to account for the possible effects of adding organic biomass.</p>
</sec>
<sec id="s2_3">
<title>Bacterial inoculation in soil and growth conditions</title>
<p>Twelve days after sowing of inoculated seed in soil, the pots were inoculated with 1 mL overnight liquid culture (~3 &#xd7; 10<sup>9</sup> CFU mL<sup>&#x2013;1</sup>) of the corresponding bacterium. Pots of the uninoculated treatment were amended with 1 mL sterile CASO Bouillon. The experiment was conducted in a greenhouse under controlled environmental conditions (average temperature 25 &#xb1; 2&#xb0;C, relative humidity 50%, 16/8 h (light/dark) photoperiod, average daily light integral 200&#x2013;250 &#x3bc;mol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup> which equals to Daily Light Integral (DLI) 14.40 mol m<sup>-2</sup> d<sup>-1</sup>). Seedlings were at 12 days transplanted into plastic tubes (20 cm length, 5 cm diameter) containing sand (50%), clay (30%), and gravel (20%), with nutrients supplied as Wuxal Super (Aglukon, D&#xfc;sseldorf, Germany) for 10 days.</p>
<p>The water-holding capacity (WHC) of the potted soil was determined by using the method of Veihmeyer and Hendrickso 1931 (cited in <xref ref-type="bibr" rid="B1">Abideen et al., 2020a</xref>). The 100% WHC was used as the reference point for cultivation. Plants at 50% WHC (showed chronic stress and associated acclimation responses. Therefore, the water holding capacity was maintained around 50% for drought treatment in this study as described in Abideen et&#xa0;al. (2020). All plants were irrigated twice a week with Hoagland&#x2019;s nutrient solution (<xref ref-type="bibr" rid="B27">Epstein, 1972</xref>). Plants were harvested after stress at 28 days, with leaf water relations and gas exchange parameters measured before the final harvest.</p>
</sec>
<sec id="s2_4">
<title>Soil water content, temperature and CO<sub>2</sub> flux</title>
<p>Soil respiration was measured using an LI-8100 soil efflux chamber system (LI-COR Inc., Lincoln, USA) and a dark survey chamber (10 cm diameter) within 30 min after removing the plant tops from the pots. The survey chamber fitted onto the brims of the pots (<xref ref-type="bibr" rid="B37">Kammann et&#xa0;al., 2011</xref>). The offset of each pot (distance from the soil surface to the pot brim) was entered into the LI-8100 system software to calculate the correct system volume and soil CO<sub>2</sub> efflux. Measurement time and observation delay were set to 60 and 20 s, respectively, to provide sufficient time for chamber volume mixing and CO<sub>2</sub> release monitoring. The increase in CO<sub>2</sub> concentration always exhibited a linear slope, with R<sup>2</sup> &gt; 0.99. This result validated the automatic calculation of CO<sub>2</sub> flux using LI-8100 software using the ideal gas law and linear regression. The respiration value is the CO<sub>2</sub> flux in &#xb5;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>. The soil water content and temperature were measured with the help of WET150 Multi-Parameter Soil Sensor.</p>
</sec>
<sec id="s2_5">
<title>Growth parameters</title>
<p>Shoot and root fresh weights (FW) were recorded immediately after harvest using weighing balance. Shoot and root samples were oven-dried at 80&#xb0;C for 48 h to determine dry weights. Some fresh samples were also frozen immediately in liquid nitrogen and stored at &#x2013;20&#xb0;C for antioxidiant enzyme assays. Leaf area (whole plant basis) was measured with a portable area meter (LI-COR-3000C). At least five biological replicates were used.</p>
</sec>
<sec id="s2_6">
<title>Leaf gas exchange, chlorophyll and chlorophyll fluorescence</title>
<p>Leaf gas exchange parameters (net photosynthetic rate, respiration, stomatal conductance, intercellular CO<sub>2</sub> concentration, transpiration rate, and water use efficiency (WUE) = net photosynthetic rate/stomatal conductance) were measured on fully expanded young leaves between 8 a.m to 4 pm. Steady state CO<sub>2</sub>/H<sub>2</sub>O leaf gas exchange readings were recorded using a LI-COR 6400XT photosynthesis system (LI-COR Inc., Lincoln, NE, USA) at 400 &#x3bc;mol mol<sup>&#x2013;1</sup> CO<sub>2</sub> atmospheric concentrations, 30&#xb0;C block temperature,  &#x2264; 2 kPa vapor pressure deficit, and ~1,000 &#x3bc;mol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup> light intensity. Estimated chlorophyll content was recorded with a SPAD 502 (Konica Minolta, Japan).</p>
<p>Chlorophyll fluorescence parameters were determined two days before plant harvest using a pulse modulated chlorophyll fluorescence meter (Junior PAM, Walz, Germany) on the same leaves used for CO<sub>2</sub>/H<sub>2</sub>O gas exchange measurements. Minimal (Fo) and maximal fluorescence (Fm) values were recorded on dark (25 min) adapted leaves to calculate the maximum photochemical quantum yield of PSII [(Fv/Fm = (Fm &#x2013; Fo)/Fm)] according to the method of <xref ref-type="bibr" rid="B40">Kitajima and Butler (1975)</xref>. Steady state (Fs), maximal (Fm&#x2032;), and minimal fluorescence (Fo) were measured on light-adapted leaves. Effective photochemical quantum yield of PSII was calculated according to the formula [(Fm&#x2032; &#x2013; Fs)/Fm&#x2032;] as described by <xref ref-type="bibr" rid="B31">Genty et&#xa0;al. (1989)</xref>. Non-photochemical quenching (NPQ) was calculated as NPQ = Fm&#x2032;/(Fm&#x2032; &#x2013; 1), formulated by <xref ref-type="bibr" rid="B16">Bilger and Bjorkman (1990)</xref>. The electron transport rate (ETR) was calculated according to the formula described in <xref ref-type="bibr" rid="B43">Krall and Edwards (1992)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>E</mml:mi>
<mml:mi>T</mml:mi>
<mml:mi>R</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>P</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>I</mml:mi>
<mml:mi>I</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>P</mml:mi>
<mml:mi>P</mml:mi>
<mml:mi>F</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>0.84</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where PPFD is leaf photosynthetic photon flux density, 0.5 is the factor used to assume an equal amount of energy distribution between two photosystems (PSII and PSI), and 0.84 is the factor used to assume leaf absorbance. The risk of oxidative stress was determined as ETR/A<sub>gross</sub>, as described in <xref ref-type="bibr" rid="B63">Salazar-Parra et&#xa0;al. (2012)</xref>.</p>
</sec>
<sec id="s2_7">
<title>Lipid peroxidation and enzyme assays</title>
<p>Malonyldialdehyde (MDA) levels was determined on fresh leaf as a damage (stress) marker using the method of Hernandez et&#xa0;al. (2001). The measurement of catalase (CAT, EC 1.11.1.6) activity was performed according to <xref ref-type="bibr" rid="B6">Aebi (1984)</xref>. Ascorbate peroxidase (APX, EC 1.11.1.11) activity was determined Nakano &amp; Asada, (1981). Activity of superoxide dismutase (SOD) was determined according to the method of <xref ref-type="bibr" rid="B15">Beyer and Fridovich, 1987</xref>. Glutathione reductase (GR, EC 1.6.4.2) activity was determined as performed by <xref ref-type="bibr" rid="B29">Foyer and Halliwell (1976)</xref>. Guaiacol peroxidase (GPX, EC 1.11.17) activity was measured as described by <xref ref-type="bibr" rid="B73">Tatiana et&#xa0;al. (1999)</xref>.</p>
</sec>
<sec id="s2_8">
<title>Analysis of Na<sup>+</sup>, K<sup>+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>
</title>
<p>Dried shoot and root samples (20 mg) were extracted with 10 mL HNO3 (0.5%) in a water bath (80&#xb0;C) for 12 h. Na<sup>+</sup>, K<sup>+</sup>, Mg<sup>2+</sup>, and Ca<sup>2+</sup> concentrations were determined using an atomic absorption spectrometer (AAS PE2100, Perkin Elmer, United States, MA 02451, Waltham, 940). The K<sup>+</sup>/Na<sup>+</sup> ratio was calculated and used to indicate K+ and Na+ ion selectivity for absorption and transport (<xref ref-type="bibr" rid="B57">Pitman, 1965</xref>).</p>
</sec>
<sec id="s2_9">
<title>Statistical analysis</title>
<p>Analysis of data (n = 5) was performed using SPSS (ver. 11) software, with significant differences among means (<italic>P</italic>&lt; 0.05) assessed by Fisher&#x2019;s protected least significance difference (LSD). The data were analyzed using two way analysis of variance (ANOVA) to identify significant effects, drought, bacteria and drought x bacteria interaction. of the experiment at P&lt; 0.05. (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Soil water content, temperature, and CO<sub>2</sub> flux</title>
<p>For soil data, two-way ANOVA showed a significant individual effect of both drought (D) and bacteria (B) but their interactions (D X B) The volumetric soil water content was monitored during the water deficit stress treatments. Soil inoculated with <italic>Pantoea</italic> displayed higher soil water contents under water deficit and well-watered conditions compared to control (no bacteria added). There were no change in soil temperature was observe in soil throughout the study regardless of the PGPR treatments. Inoculation with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> both enhanced (about 2 folds) soil gas exchange (soil carbon flux) under water deficit and well-watered conditions than un-inoculated treatments (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Shoot and root growth of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-980046-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Plant growth</title>
<p>Plant total leaf fresh weight (FW) increased (23-29%) in non-stressed barley inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> compared to other treatments. Water deficit caused a significant decreased in leaf FW, but the reduction was lower particularly in plants inoculated with <italic>Pseudomonas</italic>. Additionally, water deficit also reduced the stem and root FWs relative to well-watered plants. The inoculation of <italic>Pseudomonas</italic> or <italic>Pantoea</italic> under water deficit treatment caused a significant increase in the root length (1-2 folds) and 925%) leaf area compared to control plants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Soil water content, soil temperature (temp), and soil CO<sub>2</sub> flux of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>). F and P (***P&lt; 0.001, **P&lt; 0.01) values of the two-way ANOVAs are presented, drought, bacteria and drought x bacteria interaction.  The lower case letters shows the significant differences among means (P&lt; 0.05) assessed by Fisher&#x2019;s protected least significance difference (LSD).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-980046-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Leaf chlorophyll content, gas exchange, and chlorophyll fluorescence</title>
<p>About (18%) increase in total chlorophyll contents was detected in the well-watered and water-stressed plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> than the control plants (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). <italic>Pseudomonas</italic> and <italic>Pantoea</italic> inoculation also increased net photosynthesis (33% in pentoa and 54% in <italic>Pseudomonas</italic>) while the reverse was true for <italic>E. coli</italic> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Stomatal conductance increased about (44%) in drought-stressed plants inoculated with <italic>Pseudomonas</italic>. Internal CO<sub>2</sub> concentration (Ci) decreased in well-watered plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic>, but in decline were prominent only with and water-stressed plants inoculated with <italic>Pseudomonas</italic> under drought. The Ci/Ca ratio decreased in well-watered plants inoculated with <italic>Pseudomonas</italic> but increased in water-stressed plants compare to other treatments (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Leaf transpiration increased about (27%) in water-stressed plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> compare to other treatments (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Water use efficiency (WUE) increased in well-watered plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> compare to control treatments, while rate of respiration rates increased in inoculated plants relative to uninoculated plants (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Leaf, stem, and root fresh weight (FW), root length, and leaf area of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>). F and P (** P &lt; 0.01, *P &lt; 0.05) values of the two-way ANOVAs are presented, drought, bacteria and drought x bacteria interaction. The lower case letters shows the significant differences among means (P&lt; 0.05) assessed by Fisher&#x2019;s protected least significance difference (LSD).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-980046-g003.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Photosynthesis, stomatal conductance, intercellular carbon dioxide (Ci) and ratio of intercellular CO<sub>2</sub> with atmospheric CO<sub>2</sub> (Ci/Ca), transpiration, water use efficiency (WUE), and respiration of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center">Photosynthesis(&#x3bc;mol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">Conductance(mol m<sup>&#x2013;2</sup>s<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">Intercellular CO<sub>2</sub>(&#x3bc;mol mol<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">Ci/Ca ratio</th>
<th valign="top" align="center">Transpiration(mmol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">WUE(&#x3bc;mol CO<sub>2</sub> mol<sup>-1</sup> H<sub>2</sub>O)</th>
<th valign="top" align="center">Respiration(&#x3bc;mol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup>)</th>
<th valign="top" align="center">Chlorophyll(SPAD)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="9" align="left">
<bold>Non-stressed</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">12.13 &#xb1; 0.19a</td>
<td valign="top" align="center">0.13 &#xb1; 0.005a</td>
<td valign="top" align="center">236.74 &#xb1; 5.69b</td>
<td valign="top" align="center">0.60 &#xb1; 0.01b</td>
<td valign="top" align="center">1.71 &#xb1; 0.08b</td>
<td valign="top" align="center">7.11 &#xb1; 0.33a</td>
<td valign="top" align="center">0.81 &#xb1; 0.07a</td>
<td valign="top" align="center">39.01 &#xb1;1.24a</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">14.80 &#xb1; 0.42b*</td>
<td valign="top" align="center">0.14 &#xb1; 0.006b</td>
<td valign="top" align="center">213.44 &#xb1; 11.76a**</td>
<td valign="top" align="center">0.55 &#xb1; 0.02a</td>
<td valign="top" align="center">1.56 &#xb1; 0.14b**</td>
<td valign="top" align="center">9.76 &#xb1; 1.05b*</td>
<td valign="top" align="center">1.29 &#xb1; 0.19b**</td>
<td valign="top" align="center">45.46 &#xb1; 1.08b*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">14.14 &#xb1; 0.58b*</td>
<td valign="top" align="center">0.14 &#xb1; 0.005b</td>
<td valign="top" align="center">225.52 &#xb1; 1.67a*</td>
<td valign="top" align="center">0.58 &#xb1; 0.01ab</td>
<td valign="top" align="center">1.53 &#xb1; 0.05b</td>
<td valign="top" align="center">9.24 &#xb1; 0.35b*</td>
<td valign="top" align="center">1.63 &#xb1; 0.09b**</td>
<td valign="top" align="center">43.34 &#xb1; 1.56b*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">10.51 &#xb1; 0.27a</td>
<td valign="top" align="center">0.11 &#xb1; 0.004a</td>
<td valign="top" align="center">239.40 &#xb1; 10.30b</td>
<td valign="top" align="center">0.61 &#xb1; 0.02b</td>
<td valign="top" align="center">1.20 &#xb1; 0.05a</td>
<td valign="top" align="center">8.79 &#xb1; 0.68a</td>
<td valign="top" align="center">1.33 &#xb1; 0.10b</td>
<td valign="top" align="center">35.28 &#xb1; 1.02a</td>
</tr>
<tr>
<td valign="top" colspan="9" align="left">
<bold>Drought-stressed</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">9.25 &#xb1; 0.45e</td>
<td valign="top" align="center">0.09 &#xb1; 0.003e</td>
<td valign="top" align="center">213.53 &#xb1; 10.55f</td>
<td valign="top" align="center">0.54 &#xb1; 0.02e</td>
<td valign="top" align="center">1.08 &#xb1; 0.06e</td>
<td valign="top" align="center">9.13 &#xb1; 0.72e</td>
<td valign="top" align="center">1.07 &#xb1; 0.06e</td>
<td valign="top" align="center">38.88 &#xb1; 0.97e</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">14.26 &#xb1; 0.61f*</td>
<td valign="top" align="center">0.13 &#xb1; 0.006f*</td>
<td valign="top" align="center">204.71 &#xb1; 3.43e</td>
<td valign="top" align="center">0.57 &#xb1; 0.02f</td>
<td valign="top" align="center">1.60 &#xb1; 0.07f**</td>
<td valign="top" align="center">8.92 &#xb1; 0.26e*</td>
<td valign="top" align="center">1.36 &#xb1; 0.10f*</td>
<td valign="top" align="center">45.96 &#xb1; 0.54f*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">12.79 &#xb1; 0.38f</td>
<td valign="top" align="center">0.12 &#xb1; 0.006f*</td>
<td valign="top" align="center">216.24 &#xb1; 4.34f*</td>
<td valign="top" align="center">0.59 &#xb1; 0.03f</td>
<td valign="top" align="center">1.54 &#xb1; 0.07f**</td>
<td valign="top" align="center">8.32 &#xb1; 0.17e*</td>
<td valign="top" align="center">1.21 &#xb1; 0.04f*</td>
<td valign="top" align="center">43.38 &#xb1; 0.69f*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">10.15 &#xb1; 0.18e</td>
<td valign="top" align="center">0.10 &#xb1; 0.003e</td>
<td valign="top" align="center">219.75 &#xb1; 3.74f</td>
<td valign="top" align="center">0.55 &#xb1; 0.01e</td>
<td valign="top" align="center">1.28 &#xb1; 0.07e</td>
<td valign="top" align="center">8.14 &#xb1; 0.35e</td>
<td valign="top" align="center">1.23 &#xb1; 0.12f</td>
<td valign="top" align="center">35.68 &#xb1; 0.75e</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>F and P (** P&lt; 0.01, *P&lt; 0.05, ns = non-significant) values of the two-way ANOVAs are presented, drought, bacteria and drought x bacteria interaction.</p>
<p>Different lower-case letters within a column significantly differ at P &#x2264; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Bacterial inoculation did not change the potential quantum yield of PSII (Fv/Fm) under well-watered or water deficit conditions (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). ETR did not change in well-watered plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> but increased in plants inoculated with <italic>Pantoea</italic> relative to uninoculated plants under drought. NPQ increased in well-watered and water-stressed plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Photoinhibition and ETR/A ratios decreased (photoinhibition 91% and 49% ETR/A) in barley plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> compared to control under well-watered and water-deficit conditions (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Chlorophyll florescence parameters (photochemical efficiency of photosystem II [Y (II)], electron transport rate (ETR), non-photochemical quenching (NPQ), maximum photosynthetic efficiency of PSII (Fv/Fm), photoinhibition and oxidative stress (ETR/A)) of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center">Y (II)</th>
<th valign="top" align="center">ETR</th>
<th valign="top" align="center">NPQ</th>
<th valign="top" align="center">Fv/Fm</th>
<th valign="top" align="left">Photoinhibition</th>
<th valign="top" align="center">ETR/A</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="7" align="left">
<bold>Non-stressed</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">0.66 &#xb1; 0.003a</td>
<td valign="top" align="center">79.46 &#xb1; 0.33a</td>
<td valign="top" align="center">0.33 &#xb1; 0.02a</td>
<td valign="top" align="center">0.79 &#xb1; 0.00a</td>
<td valign="top" align="center">1.65 &#xb1; 0.24a</td>
<td valign="top" align="center">6.84 &#xb1; 0.38a</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">0.66 &#xb1; 0.002a</td>
<td valign="top" align="center">79.80 &#xb1; 0.23a</td>
<td valign="top" align="center">0.36 &#xb1; 0.04a</td>
<td valign="top" align="center">0.82 &#xb1; 0.01a</td>
<td valign="top" align="center">0.79 &#xb1; 0.15b**</td>
<td valign="top" align="center">5.38 &#xb1; 0.39b**</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">0.65 &#xb1; 0.007a</td>
<td valign="top" align="center">77.63 &#xb1; 0.86a</td>
<td valign="top" align="center">0.39 &#xb1; 0.01b*</td>
<td valign="top" align="center">0.82 &#xb1; 0.00a</td>
<td valign="top" align="center">0.80 &#xb1; 0.38b**</td>
<td valign="top" align="center">5.48 &#xb1; 0.47b**</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">0.65 &#xb1; 0.004a</td>
<td valign="top" align="center">78.71 &#xb1; 0.55a</td>
<td valign="top" align="center">0.39 &#xb1; 0.00b</td>
<td valign="top" align="center">0.81 &#xb1; 0.01a</td>
<td valign="top" align="center">2.27 &#xb1; 0.23a</td>
<td valign="top" align="center">7.48 &#xb1; 0.49a</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">
<bold>Drought-stressed</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">0.65 &#xb1; 0.002e</td>
<td valign="top" align="center">78.80 &#xb1; 0.30e</td>
<td valign="top" align="center">0.26 &#xb1; 0.02e</td>
<td valign="top" align="center">0.80 &#xb1; 0.04e</td>
<td valign="top" align="center">3.60 &#xb1; 0.06e</td>
<td valign="top" align="center">8.07 &#xb1; 1.25f</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">0.64 &#xb1; 0.001e</td>
<td valign="top" align="center">77.41 &#xb1; 0.20e</td>
<td valign="top" align="center">0.34 &#xb1; 0.01f*</td>
<td valign="top" align="center">0.80 &#xb1; 0.06e</td>
<td valign="top" align="center">1.88 &#xb1; 0.29f**</td>
<td valign="top" align="center">5.42 &#xb1; 1.45e**</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">0.67 &#xb1; 0.005e</td>
<td valign="top" align="center">80.39 &#xb1; 0.68f</td>
<td valign="top" align="center">0.32 &#xb1; 0.02f*</td>
<td valign="top" align="center">0.79 &#xb1; 0.08e</td>
<td valign="top" align="center">1.31 &#xb1; 0.16f**</td>
<td valign="top" align="center">6.27 &#xb1; 1.89e**</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">0.64 &#xb1; 0.009e</td>
<td valign="top" align="center">76.77 &#xb1; 1.15e</td>
<td valign="top" align="center">0.28 &#xb1; 0.00e</td>
<td valign="top" align="center">0.76 &#xb1; 0.02e</td>
<td valign="top" align="center">5.02 &#xb1; 0.80e</td>
<td valign="top" align="center">7.40 &#xb1; 2.51f</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>F and P (0.001, **P &lt; 0.01, *&lt; 0.05, ns = non-significant) values of the two-way ANOVAs are presented, drought, bacteria and drought x bacteria interaction.</p>
<p>Different lower-case letters within a column significantly differ at P &#x2264; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Antioxidant enzymes</title>
<p>Well-watered and drought-stress inoculated plants accumulated lower SOD enzyme activities than uninoculated plants. Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> enhanced CAT activities under well-watered conditions and decreased CAT activities under drought stress than uninoculated plants (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> had higher APX enzyme activities under drought stress relative to uninoculated plants. Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> had higher GPX activities under well-watered conditions relative to uninoculated plants (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Well-watered and drought-stressed inoculated plants improved GR activities than uninoculated plants(<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Interestingly, MDA contents decreased in well-watered and drought-stressed plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Antioxidant enzyme levels (&#x3bc;mol mg-1 prot min-1) FW&#x2014;superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), guaiacol peroxidase (GPOX), glutathione reductase (GR), and malondealdehyde (MDA (&#x3bc;mol g-1 FW))&#x2014;in drought-stressed and non-stressed (well-watered) Hordeum vulgare inoculated with three bacterial strains (<italic>Pseudomonas sp</italic>. (ITS Group 11), Pantoea sp. (ITS Group 2), or <italic>E. coli</italic>). F and P (** P&lt; 0.01, *P&lt; 0.05) values of the two-way ANOVAs are presented, drought, bacteria and drought x.The lower case letters shows the significant differences among means (P&lt; 0.05) assessed by Fisher&#x2019;s protected least significance difference (LSD).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-13-980046-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Minerals analysis</title>
<p>Shoot Ca<sup>2+</sup> increased in well-watered plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> compared to other treatments. Root Ca<sup>2+</sup> increased in well-watered plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> and water-stressed plants except <italic>Pseudomonas</italic> in water-stressed plants (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Shoot Mg<sup>2+</sup> levels enhanced in well-watered and drought-stressed plants inoculated with <italic>Pseudomonas</italic> and <italic>Pantoea</italic>. Root Mg<sup>2+</sup> increased in well-watered plants inoculated with <italic>Pseudomonas</italic> but did not change under drought stress (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Shoot and root K<sup>+</sup> and the shoot and root K<sup>+</sup>/Na<sup>+</sup> ratios increased in well-watered and drought-stressed plants inoculated with <italic>Pseudomonas</italic> and <italic>Pantoea</italic>, relative to control treatments (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Shoot Na<sup>+</sup> increased in well-watered plants inoculated with <italic>Pantoae</italic> but decreased with plants inoculated with <italic>Pseudomonas</italic>. Shoot Na<sup>+</sup> increased in drought-stressed plants inoculated with <italic>Pantoea, Pseudomonas</italic> relative to uninoculated plants. Well-watered inoculated plants accumulated higher root Na<sup>+</sup> than uninoculated plants compared to control (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Plants under water deficit had higher root Na<sup>+</sup> than well-watered plants, particularly those inoculated with <italic>Pseudomonas</italic>. (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Shoot and root cation (Ca<sup>++</sup>, Mg<sup>++</sup>, K<sup>+</sup>, Na<sup>+</sup>) concentrations (mmol kg<sup>&#x2013;1</sup> FW) and shoot K<sup>+</sup>/Na<sup>+</sup> ratio of drought-stressed and non-stressed (well-watered) <italic>Hordeum vulgare</italic> inoculated with three bacterial strains (<italic>Pseudomonas</italic> sp. (ITS Group 11), <italic>Pantoea</italic> sp. (ITS Group 2), or <italic>E. coli</italic>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center">Shoot Ca<sup>++</sup>
</th>
<th valign="top" align="center">Shoot Mg<sup>++</sup>
</th>
<th valign="top" align="center">Shoot K<sup>+</sup>
</th>
<th valign="top" align="center">Shoot Na<sup>+</sup>
</th>
<th valign="top" align="center">Shoot K<sup>+</sup>/Na<sup>+</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="6" align="left">Non-stressed</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">0.58 &#xb1; 0.02a</td>
<td valign="top" align="center">13.23 &#xb1; 0.64a</td>
<td valign="top" align="center">56.38 &#xb1; 0.40a</td>
<td valign="top" align="center">17.093 &#xb1; 0.43b</td>
<td valign="top" align="center">3.30 &#xb1; 0.06a</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">0.71 &#xb1; 0.02b*</td>
<td valign="top" align="center">15.94 &#xb1; 0.87b</td>
<td valign="top" align="center">65.11 &#xb1; 0.87b*</td>
<td valign="top" align="center">13.636 &#xb1; 2.06a</td>
<td valign="top" align="center">5.11 &#xb1; 0.71b*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">1.26 &#xb1;0.09b*</td>
<td valign="top" align="center">19.85 &#xb1; 0.30c</td>
<td valign="top" align="center">82.48 &#xb1; 2.70c*</td>
<td valign="top" align="center">21.813 &#xb1; 0.47c*</td>
<td valign="top" align="center">3.79 &#xb1; 0.21a</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">0.85 &#xb1; 0.05a</td>
<td valign="top" align="center">17.04 &#xb1; 0.02b</td>
<td valign="top" align="center">68.55 &#xb1; 1.17b</td>
<td valign="top" align="center">18.952 &#xb1; 0.70b</td>
<td valign="top" align="center">3.63 &#xb1; 0.12a</td>
</tr>
<tr>
<td valign="top" colspan="6" align="left">Drought-stressed</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">4.03 &#xb1; 0.23e</td>
<td valign="top" align="center">61.76 &#xb1; 2.33e</td>
<td valign="top" align="center">296.45 &#xb1; 13.98e</td>
<td valign="top" align="center">97.24 &#xb1; 8.22e</td>
<td valign="top" align="center">3.08 &#xb1; 0.16e</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">4.85 &#xb1; 0.09f</td>
<td valign="top" align="center">69.36 &#xb1; 1.41f*</td>
<td valign="top" align="center">448.68 &#xb1; 12.15f*</td>
<td valign="top" align="center">123.04 &#xb1; 8.17f*</td>
<td valign="top" align="center">3.70 &#xb1; 0.28f*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">4.61 &#xb1; 0.14e</td>
<td valign="top" align="center">62.21 &#xb1; 1.71e</td>
<td valign="top" align="center">350.04 &#xb1; 10.01f*</td>
<td valign="top" align="center">117.75 v 7.91f</td>
<td valign="top" align="center">3.01 &#xb1; 0.24e</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">4.65 &#xb1; 0.10e</td>
<td valign="top" align="center">64.10 &#xb1; 1.69e</td>
<td valign="top" align="center">419.55 &#xb1; 14.75f</td>
<td valign="top" align="center">125.80 &#xb1; 9.23f</td>
<td valign="top" align="center">3.36 &#xb1; 0.17e</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Root Ca<sup>++</sup>
</td>
<td valign="top" align="center">Root Mg<sup>++</sup>
</td>
<td valign="top" align="center">Root K<sup>+</sup>
</td>
<td valign="top" align="center">Root Na<sup>+</sup>
</td>
<td valign="top" align="center">Root K<sup>+</sup>/Na<sup>+</sup>
</td>
</tr>
<tr>
<td valign="top" colspan="6" align="left">Non-stressed</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">1.68 &#xb1; 0.10a</td>
<td valign="top" align="center">6.57 &#xb1; 0.15a</td>
<td valign="top" align="center">55.41 &#xb1; 2.67a</td>
<td valign="top" align="center">290.88 &#xb1; 25.90 a</td>
<td valign="top" align="center">1.93 &#xb1; 0.09b</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">2.55 &#xb1; 0.13b*</td>
<td valign="top" align="center">8.32 &#xb1; 0.15b</td>
<td valign="top" align="center">66.70 &#xb1; 1.89b</td>
<td valign="top" align="center">331.51 &#xb1; 22.50 b*</td>
<td valign="top" align="center">1.46 &#xb1; 0.13a*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">2.29 &#xb1; 0.01b*</td>
<td valign="top" align="center">6.71 &#xb1; 0.22a</td>
<td valign="top" align="center">89.59 &#xb1; 5.63b*</td>
<td valign="top" align="center">306.38 &#xb1; 26.56b*</td>
<td valign="top" align="center">2.01 &#xb1; 0.25b</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="left">1.80 &#xb1; 0.05a</td>
<td valign="top" align="center">6.36 &#xb1; 0.23a</td>
<td valign="top" align="center">45.78 &#xb1; 1.61a</td>
<td valign="top" align="center">388.67 &#xb1; 16.70b</td>
<td valign="top" align="center">1.18 &#xb1; 0.05a</td>
</tr>
<tr>
<td valign="top" colspan="6" align="left">Drought-stressed</td>
</tr>
<tr>
<td valign="top" align="left">Uninoculated</td>
<td valign="top" align="center">6.80 &#xb1; 0.43f</td>
<td valign="top" align="center">11.34 &#xb1; 0.58e</td>
<td valign="top" align="center">63.93 &#xb1; 2.36e</td>
<td valign="top" align="center">375.50 &#xb1; 24.24f</td>
<td valign="top" align="center">1.44 &#xb1; 0.13e</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudomonas</italic>
</td>
<td valign="top" align="center">4.46 &#xb1; 0.16e</td>
<td valign="top" align="center">11.02 &#xb1; 0.36e</td>
<td valign="top" align="center">112.27 &#xb1; 4.60g*</td>
<td valign="top" align="center">421.79 &#xb1; 49.66g*</td>
<td valign="top" align="center">1.98 &#xb1; 0.25f*</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pantoea</italic>
</td>
<td valign="top" align="center">9.95 &#xb1; 0.64g</td>
<td valign="top" align="center">12.12 &#xb1; 0.58f</td>
<td valign="top" align="center">79.70 &#xb1; 2.07f</td>
<td valign="top" align="center">330.45 &#xb1; 8.47e</td>
<td valign="top" align="center">1.51 &#xb1; 0.08e</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>E. coli</italic>
</td>
<td valign="top" align="center">7.51 &#xb1; 0.32f</td>
<td valign="top" align="center">11.44 &#xb1; 0.27e</td>
<td valign="top" align="center">63.44 &#xb1; 4.72e</td>
<td valign="top" align="center">398.41 &#xb1; 15.29f</td>
<td valign="top" align="center">1.32 &#xb1; 0.08e</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>F and P (*P &lt; 0.05, ns = non-significant) values of the two-way ANOVAs are presented, drought, bacteria and drought x bacteria interaction.</p>
<p>Different lower-case letters within a shoot or root column significantly differ at P &#x2264; 0.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussions</title>
<p>Drought is a major abiotic factor that inhibits crop yields but association of seed-associated bacterial endophytes of <italic>Hordeum vulgare</italic> are beneficial for rhizosphere soil health and its proper application, relieved the adverse effects of water deficit on barley grown under water limited areas to ensure productivity of such an important food crops (<xref ref-type="bibr" rid="B19">Chandra et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B77">Tyagi and Pandey, 2022</xref>; <xref ref-type="bibr" rid="B42">Kour and Yadav, 2022</xref>). In this study, bacterial inoculation enhanced both soil carbon flux and soil moisture under drought stress, regulating the ecophysiological performance (growth, net photosynthesis, and mineral acquisition) of barley seedlings. Stimulation of soil carbon flux due to <italic>Pseudomonas</italic> and <italic>Pantoea</italic> inoculation in dry arid areas in barley was might be associated with increased soil respiration that triggers higher microbial activity. Higher soil metabolic output with microbial inoculation indicates that barley cultivation with PGPB is a suitable strategy for enhancing carbon sequestration and thus contributing to climate change mitigation (<xref ref-type="bibr" rid="B60">Radicetti et&#xa0;al., 2020</xref>). Improvement of soil parameters especially soil water acquisition (especially <italic>Pantoea</italic> treatment) under stressed and non-stressed conditions was also as reported for maize (<xref ref-type="bibr" rid="B53">Naseem and Bano, 2014</xref>; <xref ref-type="bibr" rid="B33">Goudarzi et&#xa0;al., 2023</xref>), which has been associated with exopolysaccharides (EPS) production. EPS significantly enhance plant growth (<xref ref-type="bibr" rid="B53">Naseem and Bano, 2014</xref>; <xref ref-type="bibr" rid="B83">Zayed et&#xa0;al., 2022</xref>) by colonizing plant roots, forming hydrophilic biofilms, and providing plant immune response (Sun et&#xa0;al., 2022). In addition, PGPB= use several mechanisms to improve plant growth such as maintaining sufficient nutrient supply or regulating hormone levels (<xref ref-type="bibr" rid="B28">Forni et&#xa0;al., 2017</xref>; Siddiqui et&#xa0;al., 2021). In this study, the introduced bacterial endophytes <italic>Pseudomonas</italic> and <italic>Pantoea</italic> emerged as mediators for enhancing total foliage biomass, as reported in <italic>Capsicum annuum</italic> (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B25">Datta et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B45">Lin et&#xa0;al., 2020</xref>). Application of microbes can improve fruit quality by upregulating nitrogen metabolism and producing specific hormones that trigger water and mineral balance and promote belowground biomass (<xref ref-type="bibr" rid="B7">Ahemad and Kibret, 2014</xref>). In the present study, <italic>Pseudomonas</italic> (under drought and control both condition) and <italic>Pantoea</italic> inoculations (well water condition) increased leaf fresh biomass and other growth parameters which was reported earlier in maize under water deficit condition (<xref ref-type="bibr" rid="B36">Jeong et&#xa0;al., 2021</xref>). Plants inoculated with <italic>Pseudomonas</italic> or <italic>Pantoea</italic> improved plant root elongation under water deficit compared to the other treatments. Higher root production under drought suggests that barley seeds benefit from soil microbe/plant interactions with <italic>Pseudomonas</italic> and <italic>Pantoea</italic> endophytes to access optimum water and nutrient which is critical for biomass production (<xref ref-type="bibr" rid="B45">Lin et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B78">Verma et&#xa0;al., 2021</xref>). Increased root development from microbial amendments can also support seedling emergence and long-term survival of barley in poorly degraded, dry areas that appear futile for agriculture and thus improve sustainable agriculture to avoid food insecurity (<xref ref-type="bibr" rid="B17">Calvo et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Abdelfadil et&#xa0;al., 2022</xref>). In addition, it was reported that PGPB strains enhance phytohormone production and other signals to modify root system architecture, such as increased lateral root branching and root hair development (Siddiqui et&#xa0;al., 2022). The proper root modification stimulated the leaf development that favors the photosynthesis and the activity of photochemical reaction. Chlorophyll is the main photosynthetic pigment that was stimulated due to PGPB application in barley under drought-stressed and well-watered conditions due to increased nutrient acquisition, as reported elsewhere (<xref ref-type="bibr" rid="B26">Dawwam et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B23">Dao et&#xa0;al., 2020</xref>). Enhanced synthesis of chlorophyll pigments and their accessory components improve photosynthetic rate as well asPSII efficiency and the protein-pigment complex function. Plants inoculated with PGPR developed drought tolerance, suggesting that plants treated with bacterial strains enhance CO<sub>2</sub> assimilation and reduce water release by leaves (<xref ref-type="bibr" rid="B12">Armada et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Mehrasa et&#xa0;al., 2022</xref>). In addition, under suboptimum conditions, plants release some photosynthetic assimilates as root exudates, which helps maintain bacterial colonization in the root zone, promoting mutual benefits such as increased plant resistance against abiotic stress (<xref ref-type="bibr" rid="B64">Samaniego-G&#xe1;mez et&#xa0;al., 2016</xref>). It was reported that PGPR elevate photosynthesis in in plants by regulating endogenous sugar/abscisic acid signaling (Sati et&#xa0;al., 2021). In the present study, plants inoculated with <italic>Pseudomonas</italic> and <italic>Pantoea</italic> increased gas exchange, respiration, stomatal conductance and leaf transpiration under drought-stressed and well-watered conditions. However, they only increased WUE under well-watered conditions (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), indicating that bacterial-inoculated plants improve plant growth by enhancing photosynthetic performance (<xref ref-type="bibr" rid="B19">Chandra et&#xa0;al., 2021</xref>). It was reported that bacterial strains in the root zone synthesize auxins (indole-3-acetic acid/indole acetic acid/IAA) that increase tissue cell division, photosynthetic pigment synthesis, and photosynthesis (<xref ref-type="bibr" rid="B7">Ahemad and Kibret, 2014</xref>; <xref ref-type="bibr" rid="B49">Mitra et&#xa0;al., 2022</xref>). In tobacco, it was established that CO<sub>2</sub> produced in roots was transported to shoots for photosynthesis <italic>via</italic> the vascular system instead of stomata (Andrade et&#xa0;al., 2022). It was suggested that endophyte colonization changed the host plant&#x2019;s photosynthetic apparatus, increasing the activity of light harvesting complexes and enhancing photosynthetic performance (<xref ref-type="bibr" rid="B20">Chaturvedi et&#xa0;al., 2022</xref>). Similarly, <xref ref-type="bibr" rid="B46">Liu et&#xa0;al. (2021)</xref> indicated that seed endophytes stimulate PSII efficiency in plants.</p>
<p>Bacterial inoculation of pepper plants increased ETR and NPQ which could be a consequence of the positive effect of PGPB (<xref ref-type="bibr" rid="B64">Samaniego-G&#xe1;mez et&#xa0;al., 2016</xref>). Further, NPQ helped minimize the over-synthesis of O<sub>2</sub> in PSII antenna, increasing NPQ in plants inoculated with bacterial strains to reduce excess light energy (<xref ref-type="bibr" rid="B59">Radhakrishnan and Baek, 2017</xref>). In our study, bacterial inoculation increased Fv/Fm under well-watered conditions but increased ETR and NPQ under drought stress. Interestingly, drought stress produced higher photoinhibition and ETR/A ratios than well-watered conditions but were substantially lower in plants inoculated with <italic>Pseudomonas</italic> and <italic>Pantoea</italic> than the other treatments. ETR increases due to high oxidation of the quinone acceptor (Qa) and its excitation energy, reducing oxidative damage (<xref ref-type="bibr" rid="B30">Garcia-Caparros et&#xa0;al., 2021</xref>). <xref ref-type="bibr" rid="B81">Yang et&#xa0;al. (2017)</xref> reported that PGPR provoke systemic tolerance of plants during abiotic stress (salt and drought). Abiotic stresses such as drought increase ROS formation, causing oxidative stress (<xref ref-type="bibr" rid="B22">Chiappero et&#xa0;al., 2019</xref>). Increased ROS production affects plants due to the oxidation of photosynthetic pigments in membrane lipids, proteins, and nucleic acids (<xref ref-type="bibr" rid="B35">Jajic et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B50">Mukarram et&#xa0;al., 2021</xref>). The upregulation of antioxidant enzymes, such as SOD and APX, is a significant plant response to drought <xref ref-type="bibr" rid="B50">Mukarram et&#xa0;al., 2021</xref>). Increased CAT, GR, and APX activities were reported in drought-stressed <italic>Ocimun basilicum</italic> inoculated with PGPR (<xref ref-type="bibr" rid="B22">Chiappero et&#xa0;al., 2019</xref>). In the present study, drought stress increased SOD, CAT, APX, GPX, and GR activities, and MDA content. Drought stress and bacterial inoculation combined reduced ROS production, as indicated by the decreased SOD activity and MDA content and increased APX, GPX, and GR activities.</p>
<p>Leaf growth and metabolite production are important parameters under water deficiency (<xref ref-type="bibr" rid="B84">Zulfiqar et&#xa0;al., 2020</xref>). In the present study, leaf area increased under drought-stressed and well-watered conditions, which may be linked to P uptake triggered by <italic>Pseudomonas</italic> or <italic>Pantoea</italic> inoculation, as reported for maize (Chaudhary et&#xa0;al., 2022). Microbial inoculum improves nutritional assimilation (N, P and K contents) in plants relative to uninoculated plants, possibly because the soil microbes compensate for nutrient deficiency, enhancing plant growth in nutrient-deficient environments (<xref ref-type="bibr" rid="B13">Bargaz et&#xa0;al., 2018</xref>). In the present study, <italic>Pseudomonas</italic> inoculation under well-watered conditions increased shoot and root K<sup>+</sup> concentration but decreased shoot Na<sup>+</sup> concentration. Sequestration of Na<sup>+</sup> in roots and higher uptake of K<sup>+</sup> in leaves increased the shoot K<sup>+</sup>/Na<sup>+</sup> ratio in well-watered plants inoculated with <italic>Pseudomonas</italic>, as reported elsewhere for maize (<xref ref-type="bibr" rid="B68">Shahzad et&#xa0;al., 2022</xref>). Similarly, under water deficit, <italic>Pseudomonas</italic> preferentially increased shoot K+, retained root Na<sup>+</sup>, and enhanced the shott K<sup>+</sup>/Na<sup>+</sup> ratio relative to the other treatments. De Inoculation of <italic>Pseudomonas</italic> increased seedling growth in low fertile soil by compensating for nutrient deficiency through the synthesis of plant growth-promoting hormones at the root interface, stimulating root development and increasing soil water and nutrient absorption (<xref ref-type="bibr" rid="B11">Amora-Lazcano et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Mehrasa et&#xa0;al., 2022</xref>).</p>
<p>In addition, Ca<sup>2+</sup> is critical for plant growth, playing an important role in cell wall and membrane development, photosynthesis and ion homeostasis and acting as a signaling molecule in the cytosol (<xref ref-type="bibr" rid="B67">Shabbir et&#xa0;al., 2022</xref>). Recently, <xref ref-type="bibr" rid="B8">Ahmed et&#xa0;al. (2021)</xref> showed that Ca<sup>2+</sup> acts as a signaling agent, enhancing plant stress resistance in unfavorable environmental conditions. In the present study, plant Ca<sup>2+</sup> concentration increased substantially in bacterial-treated plants compared to uninoculated plants and even under drought stress. In addition to Ca<sup>2+</sup>, Mg<sup>2+</sup> plays an important role in carbohydrate partitioning, CO<sub>2</sub> fixation during photosynthesis, and reactive oxygen species (ROS) formation (Tewari et&#xa0;al., 2021). Mg<sup>2+</sup> increases root surface area and overall root growth, enhancing photosynthetic assimilate synthesis and transport and carbohydrate translocation, alleviating drought stress (<xref ref-type="bibr" rid="B10">Alrashidi et&#xa0;al., 2022</xref>). In the present study, shoot Mg<sup>2+</sup> increased in drought-stressed plants inoculated with <italic>Pseudomonas</italic> while root Mg<sup>2+</sup> did not change. Well-watered inoculated plants increased shoot Mg<sup>2+</sup> relative to uninoculated plants, particularly in plants inoculated with <italic>Pantoea</italic>. Well-watered plants inoculated with <italic>Pseudomonas</italic> increased root Mg<sup>2+</sup> relative to uninoculated plants.</p>
</sec>
<sec id="s5">
<title>Conclusions</title>
<p>Our results suggest that the appropriate selection of endophytes and their respective response is important for inducing drought stress resistance in barley. <italic>Pseudomonas</italic> and <italic>Pantoea</italic> inoculations improved growth, metal acquisition, photosynthesis, and oxidative stress tolerance in drought-stressed barley. The improved biomass production and crop yield with endophytic bacterial inoculation could be a solution for growing barley on poorly degraded lands. Further research is needed to confirm our findings under field conditions in saline and waterlogged areas to unlock the full potential of PGPB on crop performance.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<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 id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZA, MC and SR: Conceptualization, Investigation. ZA and SR: Formal analysis, Methodology, Writing- original draft. MC, FaZ, H-WK, KH, FeZ and KHMS: Supervision, Conceptualization, Resources, Writing &#x2013; review and editing, Funding acquisition. WD and FaZ: Formal analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="acknowledgement">
<title>Acknowledgments</title>
<p>This work was supported by the DAAD (The German Academic Exchange Service) Fund (grant P21067). The authors also acknowledge Taif University Researchers Supporting Project number (TURSP-2020/94), Taif University, Taif, Saudi Arabia.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2022.980046/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2022.980046/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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