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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.2023.1081537</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>Mitigation of water scarcity with sustained growth of Rice by plant growth promoting bacteria</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mahreen</surname>
<given-names>Naima</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1597701"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yasmin</surname>
<given-names>Sumera</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/352525"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Asif</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1661718"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yahya</surname>
<given-names>Mahreen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/621337"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ejaz</surname>
<given-names>Khansa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/994285"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mehboob-ur-Rahman</surname>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/125204"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yousaf</surname>
<given-names>Sumaira</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/829703"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Amin</surname>
<given-names>Imran</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/358746"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zulfiqar</surname>
<given-names>Sana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1969780"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Imran</surname>
<given-names>Asma</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/191373"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khaliq</surname>
<given-names>Shazia</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1559641"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Arif</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/574967"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Soil and Environmental Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute for Engineering and Applied Sciences (NIBGE-C, PIEAS)</institution>, <addr-line>Faisalabad, Punjab</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute for Engineering and Applied Sciences (NIBGE-C, PIEAS)</institution>, <addr-line>Faisalabad, Punjab</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Nuclear Institute for Agriculture and Biology (NIAB) College, Pakistan Institute for Engineering and Applied Sciences (NIAB-C, PIEAS)</institution>, <addr-line>Faisalabad, Punjab</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Industrial Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute for Engineering and Applied Sciences (NIBGE-C, PIEAS)</institution>, <addr-line>Faisalabad, Punjab</addr-line>, <country>Pakistan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mohamed Lazali, University of Khemis Miliana, Algeria</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Maqshoof Ahmad, The Islamia University of Bahawalpur, Pakistan; Basharat Ali, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Pakistan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Sumera Yasmin, <email xlink:href="mailto:sumeraimran2012@gmail.com">sumeraimran2012@gmail.com</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>23</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1081537</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Mahreen, Yasmin, Asif, Yahya, Ejaz, Mehboob-ur-Rahman, Yousaf, Amin, Zulfiqar, Imran, Khaliq and Arif</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Mahreen, Yasmin, Asif, Yahya, Ejaz, Mehboob-ur-Rahman, Yousaf, Amin, Zulfiqar, Imran, Khaliq and Arif</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>Climate change augments the risk to food security by inducing drought stress and a drastic decline in global rice production. Plant growth-promoting bacteria (PGPB) have been known to improve plant growth under drought stress. Here in the present study, we isolated, identified, and well-characterized eight drought-tolerant bacteria from the rice rhizosphere that are tolerant to 20% PEG-8000. These strains exhibited multiple plant growth-promoting traits, i.e., 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase activity, exopolysaccharide production, phosphate (P)-solubilizing activity (51&#x2013;356 &#xb5;g ml<sup>-1</sup>), indole-3 acetic acid (IAA) production (14.3&#x2013;46.2 &#xb5;g ml<sup>-1</sup>), and production of organic acids (72&#x2013;178 &#xb5;g ml<sup>-1</sup>). Inoculation of bacterial consortium (<italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophilum</italic> NM-4, and <italic>Bacillus cereus</italic> NM-6) significantly improved seedling growth and vigor index (1009.2-1100) as compared to non-inoculated stressed plants (630-957). Through rhizoscanning, efficiency of the consortium was validated by improved root parameters such as root length (17%), diameter, and surface area (18%) of all tested genotypes as compared with respective non-inoculated stressed treatments. Furthermore, the response of consortium inoculation on three rice genotypes was positively correlated with improved plant growth and drought stress ameliorating traits by the accumulation of osmoprotectant, i.e., proline (85.8%&#x2013;122%), relative water content (51%), membrane stability index (64%), and production of antioxidant enzymes to reduce oxidative damage by reactive oxygen species. A decrease in temperature and improved chlorophyll content of inoculated plants were found using infrared thermal imaging and soil plant analyzer development (SPAD), respectively. The key supporting role of inoculation toward stress responses was validated using robust techniques like infrared thermal imaging and an infrared gas analyzer. Furthermore, principal component analysis depicts the contribution of inoculation on stress responses and yield of tested rice genotypes under water stress. The integration of drought-tolerant rice genotype (NIBGE-DT02) and potential bacterial strains, i.e., NM-2, NM-4, and NM-6, can serve as an effective bioinoculant to cope with water scarcity under current alarming issues related to food security in fluctuating climate.</p>
</abstract>
<kwd-group>
<kwd>sustainable agriculture</kwd>
<kwd>water scarcity</kwd>
<kwd>abiotic stress</kwd>
<kwd>Super Basmati</kwd>
<kwd>drought tolerant bacteria</kwd>
<kwd>IRGA</kwd>
<kwd>infrared thermal (IRT) imager</kwd>
<kwd>florescent <italic>in situ</italic> hybridization</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="5"/>
<equation-count count="6"/>
<ref-count count="112"/>
<page-count count="22"/>
<word-count count="13266"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Climate change and unfavorable abiotic factors in the recent era have adversely affected crop productivity and economic yields from agricultural land. Water scarcity, severe drought, and temperature extremes are reducing moisture levels in soil profiles, altering plant physiology, and reducing growth and yields (<xref ref-type="bibr" rid="B27">Deng et&#xa0;al., 2021</xref>). The worst heatwave due to global warming hit the water supply under threat while China and Europe face severe droughts in recent years (<xref ref-type="bibr" rid="B44">JRC, 2022</xref>; <xref ref-type="bibr" rid="B36">Global times, 2022</xref>). According to the United Nations Global Land Outlook report 2020&#x2013;2022, Pakistan is one of 23 countries that have faced emergencies related to drought in the last 2 years (<xref ref-type="bibr" rid="B95">UNCCD, 2022</xref>).</p>
<p>Rice (<italic>Oryza sativa</italic> L.) as a paddy field crop is particularly susceptible to water scarcity. Due to insufficient, uneven, and unpredictable rainfall during the growing season, it is estimated that 50% of the world&#x2032;s rice production will be decreased dramatically (<xref ref-type="bibr" rid="B9">Al-Zahrani et al., 2022</xref>). To alleviate global food insecurity, a large number of rice irrigations have to be replaced by different management strategies (<xref ref-type="bibr" rid="B1">Aalipour et&#xa0;al., 2020</xref>). Currently, strategies to enhance the plant&#x2032;s ability to cope with drought stress include traditional breeding, genetic engineering of drought-tolerant transgenic plants, and the use of water-saving irrigation. Unfortunately, these strategies are very complex, time-consuming, and labor-intensive. Therefore, we need quick, reliable <italic>in situ</italic> methods that can be widely applied to enhance the ability of plants to produce more under limited irrigations (<xref ref-type="bibr" rid="B46">Kannepalli et&#xa0;al., 2020</xref>).</p>
<p>The use of plant growth-promoting bacteria (PGPB) is an effective approach to grow plants under water scarcity. Directly or indirectly, they can promote plant growth under biotic or abiotic stress environments (<xref ref-type="bibr" rid="B32">Fadiji et&#xa0;al., 2022</xref>). Known mechanisms of PGPB to improve plant growth and its survival in stressed environments, especially under drought conditions, include phytohormone production (IAA), phosphate (P) solubilization, exopolysaccharide (EPS) production, and siderophore production for sequestration of iron (<xref ref-type="bibr" rid="B39">Ilyas et&#xa0;al., 2020</xref>). In addition, PGPB is associated with the molecule&#x2032;s catabolism, i.e., bacterial 1-aminocyclopropane-1-carboxylate (ACC) deaminase production involved in signaling under stress. Ethylene content in plants is usually increased in stress; thus, inoculation with ACC deaminase-producing bacteria mitigates the effect of osmotic stress in plants by reducing the production of ethylene (<xref ref-type="bibr" rid="B83">Sagar et&#xa0;al., 2020</xref>).</p>
<p>Polyethylene glycol (PEG)-induced drought stress decreased the seed germination, vigor index, and seedling growth of rice as compared with well-irrigated seedlings (<xref ref-type="bibr" rid="B26">Delshadi et&#xa0;al., 2017</xref>). Most of the studies reported that inoculation of phosphate-solubilizing and indole acetic acid (IAA)-, 1-aminocyclopropane-1-carboxylate (ACC)-, and exopolysaccharide (EPS)-producing bacteria significantly improved percent seed germination and seedling vigor index of different plants, i.e., wheat, grapevine, and tomato under osmotic stress (<xref ref-type="bibr" rid="B39">Ilyas et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B29">Duan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Khairnar et&#xa0;al., 2022</xref>). PGPB are an important biological element with beneficial effects on plant biochemical and physiological properties, resulting in improved photosynthetic pigments, osmolyte production, leaf number, and relative water content (<xref ref-type="bibr" rid="B32">Fadiji et&#xa0;al., 2022</xref>). Wheat, maize, and rice plants inoculated with PGPB resulted in an improved root/shoot length, fresh/dry weights, leaf chlorophyll, membrane stability index (MSI), proline content, and upregulation in the antioxidants such as peroxidase (POD), catalase (CAT), superoxide dismutase (SOD), polyphenol oxidase (PPO), and phenylalanine (PAL) to scavenge the production of reactive oxygen species (ROS) under drought conditions (<xref ref-type="bibr" rid="B57">Mathur et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B53">Li X et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Inbaraj, 2021</xref>).</p>
<p>Solute accumulation is one of the most important mechanisms adopted by plants to withstand drought stress. PGPB confer tolerance to drought stress in plants by improving the plant&#x2032;s ability to produce osmoprotectants like proline (<xref ref-type="bibr" rid="B72">Ngumbi and Kloepper, 2016</xref>). Bacterial communities not only alter the hormonal balance of the roots but also improve plant nutrient and water uptake, resulting in microbial colonization and symbiotic relationships (<xref ref-type="bibr" rid="B70">Nemeskeri et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B71">Nemeskeri et&#xa0;al. (2019)</xref> reported that an improvement in plant water uptake also reduced the plant temperature as compared with non-inoculated stressed plants as high plant temperature has an adverse impact on yield. Infrared thermography (IRTI) has appeared as an easy-to-use, non-destructive, and promising technique for measuring plant physiological status related to water availability (<xref ref-type="bibr" rid="B49">Kim et&#xa0;al., 2020</xref>).</p>
<p>Drought stress reduces the rice plant&#x2032;s yield, whereas PGPB inoculation improved the plant traits such as height, panicles, plant weight, and yield grown even under drought stress (<xref ref-type="bibr" rid="B31">El-Mageed et&#xa0;al., 2022</xref>).</p>
<p>Overall, drought-tolerant rhizobacteria offer an eco-friendly and efficient approach to alleviate plant stress and enhance plant growth and yield under adverse climatic conditions. Therefore, in the present study, we focused on i) isolating, screening, and selecting drought-tolerant rhizobacteria and ii) evaluating efficient rhizobacteria for rice growth promotion under water stress conditions through the study of morpho-physiological and biochemical parameters. We hypothesized that i) drought-tolerant bacteria with plant growth promoting (PGP) traits can improve plant vigor and root architecture through phytohormone (IAA), osmolyte, and exopolysaccharide production, which ultimately increases the yield of rice under water stress conditions, and ii) integrated application of potential drought-tolerant bacteria obtained in this study and advanced non-destructive <italic>in situ</italic> handheld instruments, i.e., infrared thermal imaging (IRTI) and infrared gas analyzer (IRGA), with conventional methods may lead to the efficient selection and timely intervention of a tolerant variety to minimize yield loss from water scarcity. This integration of biological strategy with high-quality imagery and physiological processes will lead to a useful day-by-day comparison for the detection of drought stress, which is the need of the hour because conventional methods require a long time for the detection of drought conditions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Soil sample collection</title>
<p>Rice rhizosphere soil samples were collected from plants grown in Faisalabad (31&#xb0;24&#x2032;10.7&#x2033;N 73&#xb0;01&#x2032;31.4&#x2033;E), Sheikhupura (31&#xb0;35&#x2032;15.4&#x2033;N 73&#xb0;40&#x2032;12.5&#x2033;E), Gujranwala (32&#xb0;09&#x2032;29.7&#x2033;N 74&#xb0;01&#x2032;28.3&#x2033;E), Kala Shah Kaku (31&#xb0;43&#x2032;17.0&#x2033;N 74&#xb0;16&#x2032;04.9&#x2033;E), Sialkot (32&#xb0;29&#x2032;01.0&#x2033;N 74&#xb0;24&#x2032;08.3&#x2033;E), Hafizabad (32&#xb0;08&#x2032;59.4&#x2033;N 73&#xb0;29&#x2032;06.4&#x2033;E), Pindi Bhattian (31&#xb0;54&#x2032;09.0&#x2033;N 73&#xb0;15&#x2032;35.0&#x2033;E), Nankana Sahib (31&#xb0;53&#x2032;20.5&#x2033;N 73&#xb0;40&#x2032;02.8&#x2033;E), Narang Mandi (31&#xb0;54&#x2032;00.9&#x2033;N 74&#xb0;29&#x2032;54.0&#x2033;E), and Farooqabad (31&#xb0;44&#x2032;51.2&#x2033;N 73&#xb0;46&#x2032;36.6&#x2033;E). Soil samples were collected at a depth of 0&#x2013;20 cm and were carried to the laboratory (<xref ref-type="bibr" rid="B75">Passari et&#xa0;al., 2017</xref>). Soil adhering to the roots was separated, homogenized, and stored at 4&#xb0;C till further use for isolation of rhizosphere bacteria.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Isolation of rhizobacteria</title>
<p>The dilutions of soil samples up to 10<sup>-4</sup> were prepared, and each dilution (100 &#xb5;l) was spread on Luria Bertani (LB) agar petri plates. Then, plates were incubated for 24&#x2013;48 h at 28 &#xb1; 2&#xb0;C. Different morphotypes were identified and subcultured to get pure colonies of each morphotype (<xref ref-type="bibr" rid="B65">Murtaza et&#xa0;al., 2014</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Screening of rhizobacteria for drought tolerance</title>
<p>Pure colonies of each morphotype were screened for drought stress under different concentrations of PEG-8000 in an <italic>in vitro</italic> study. Drought stress of 5%, 10%, 15%, and 20% was developed gradually by dissolving 5, 10, 15, and 20 g of PEG-8000, respectively, in 100 ml LB broth medium while the non-stressed medium was prepared without PEG, i.e., 0% PEG (<xref ref-type="bibr" rid="B59">Michel and Kaufmann, 1973</xref>; <xref ref-type="bibr" rid="B73">Niu et&#xa0;al., 2018</xref>). Broth media containing 5% PEG concentration and non-stressed media were inoculated with overnight grown cultures (10<sup>8</sup> CFU ml<sup>-1</sup>) and incubated for 2&#x2013;3 days on the shaker at 28 &#xb1; 2&#xb0;C. To determine the tolerance of bacterial strains to the specific level of drought stress created by PEG-8000, the growth was determined by measuring optical density (OD) on a spectrophotometer (CamSpec UV-Vis M550, UK) at 600 nm and by viable count through the spread plate method (<xref ref-type="bibr" rid="B91">Somasegaran and Hoben, 1994</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Bioassay of drought-tolerant rhizobacteria for PGP traits</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Indole-3 acetic acid production</title>
<p>The detection of IAA production was carried out by the colorimetric method (<xref ref-type="bibr" rid="B37">Gordon and Weber, 1951</xref>). For this, fresh bacterial colonies were grown in LB broth containing 0.01% tryptophan for 7 days. The production of IAA was detected by mixing 100 &#xb5;l of culture with 100 &#xb5;l of Salkowski&#x2019;s reagent in a titer plate. After incubation for 30 min at room temperature, the appearance of pink color was an indication of IAA production. Further, IAA was quantified by treating the culture supernatant with ethyl acetate. The extract was evaporated to dryness collected with methanol and subjected to high-performance liquid chromatography (HPLC) (Perkin Elmer) accompanied by a column (C-18) at 0.5 ml min<sup>-1</sup> flow rate (<xref ref-type="bibr" rid="B92">Tien et&#xa0;al., 1979</xref>). Production of IAA was determined by retention time and peak area of 1000 ppm synthetic IAA standard.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Phosphate solubilization and detection of organic acids produced</title>
<p>The phosphate solubilization potential of bacteria was checked on National Botanical Research Institute&#x2019;s Phosphates (NBRIP) agar medium supplemented with tri-calcium phosphate (TCP) as a P source (<xref ref-type="bibr" rid="B68">Nautiyal, 1999</xref>). The bacteria were cultured on the petri plates that were kept at 28 &#xb1; 2&#xb0;C in an incubator for 7&#x2013;14 days. Formation of the halo zone around the colonies was considered positive for phosphate solubilization. The solubilization index of P was measured with the formula described by <xref ref-type="bibr" rid="B88">Shanware et&#xa0;al. (2014)</xref>. Quantification of P solubilization by the bacteria was determined in NBRIP broth medium by the molybdate blue method using a spectrophotometer (CamSpec UV-Vis M550, UK) at 882 nm (<xref ref-type="bibr" rid="B64">Murphy and Riley, 1962</xref>). Different concentrations of standard solution (KH<sub>2</sub>PO<sub>4</sub>) were used for the standard curve, and tested samples were compared for P quantification (<xref ref-type="bibr" rid="B90">Soltanpour and Workman, 1979</xref>).</p>
<p>Different organic acids produced by bacteria <italic>in vitro</italic> during P solubilization were detected on HPLC (Varian ProStar 325 UV-Vis, United States) by using inoculated NBRIP filtrate (<xref ref-type="bibr" rid="B99">Vyas and Gulati, 2009</xref>). The control was filtrate of a non-inoculated NBRIP broth. The retention time and peak of standard solutions (100 &#xb5;g l<sup>-1</sup>) were compared with tested samples for organic acid quantification (<xref ref-type="bibr" rid="B54">Macias-Benitez et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_4_3">
<label>2.4.3</label>
<title>Exopolysaccharide production</title>
<p>Exopolysaccharide production was determined by growing bacterial isolates in a 20% sucrose-supplemented GYC broth medium containing 50 g of glucose, yeast extract (10 g), and calcium carbonate at 5 g l<sup>-1</sup>. The cultures were then centrifuged at 6,000 rpm for 10 min, and the supernatant was collected. Trichloroacetic acid (TCA: 14% w/v) was added to the supernatant to precipitate the proteins in the polysaccharides. Flasks were then placed on a shaking incubator at 50 rpm and 23&#xb0;C for 40 min followed by centrifugation at 10,000 rpm and 4&#xb0;C for 10 min. Then, ethanol precipitation was done to purify EPS according to the method described by <xref ref-type="bibr" rid="B13">Anwar et&#xa0;al. (2010)</xref>. A thin-layer chromatography (TLC) plate (Silica gel 60 F254; Merck) was spotted with 2 &#xb5;l of supernatant and run for 6 h in the mobile phase (butanol 5: ethanol 5: water 3). An air-dried TLC plate was sprayed with urea-developing solution followed by heating for 15 min at 120&#xb0;C to detect the fructose-containing compounds as described by <xref ref-type="bibr" rid="B67">Nasir et&#xa0;al. (2020)</xref>. The retention factor (R<sub>f</sub>) of the samples was measured by the following formula:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mi>f</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>D</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>c</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>t</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>b</mml:mi>
<mml:mi>y</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>t</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>c</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>D</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>c</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>t</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>b</mml:mi>
<mml:mi>y</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>t</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_4_4">
<label>2.4.4</label>
<title>Siderophore production</title>
<p>Production of siderophores by the bacteria was tested by the method described by <xref ref-type="bibr" rid="B11">Ames-Gottfred et&#xa0;al. (1989)</xref>. Chrome Azurol S (CAS) agar plates were streaked with pure bacterial colonies and incubated at 28 &#xb1; 2&#xb0;C for 3&#x2013;4 days. The plates were observed for orange or purple coloration that appeared around bacterial culture as described by <xref ref-type="bibr" rid="B8">Ali et&#xa0;al. (2014)</xref>.</p>
</sec>
<sec id="s2_4_5">
<label>2.4.5</label>
<title>ACC-deaminase activity</title>
<p>The potential of bacteria to break down ACC was determined using 0.5 M ACC containing DF (Dworkin and Foster) minimal salt medium (<xref ref-type="bibr" rid="B76">Penrose and Glick, 2003</xref>). The inoculated bacteria were grown for 48&#x2013;72 h at 28 &#xb1; 2&#xb0;C with shaking at 13,000 rpm. The non-inoculated medium was considered as a control. Turbidity appeared in the medium and showed ACC-deaminase activity as described by <xref ref-type="bibr" rid="B111">Zia et&#xa0;al. (2021)</xref>.</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Identification of drought-tolerant PGP bacteria</title>
<p>The selected drought-tolerant plant growth-promoting bacteria were studied for colony morphology, gram staining, and cell motility using light microscopy following Bergey&#x2019;s Manual (<xref ref-type="bibr" rid="B98">Vos et&#xa0;al., 2011</xref>).</p>
<p>Molecular identification of each drought-tolerant plant growth-promoting bacterium was carried out by the amplification of 16S rRNA gene using forward primer fD1 5&#x2032;-AGAGTTTGATCCTGGCTCAG-3&#x2032; and reverse primer rD1 5&#x2032;-AAGGAGGTGATCCAGCC-3&#x2032; as described by <xref ref-type="bibr" rid="B40">Imran et&#xa0;al. (2010)</xref>. Agarose gel (1%) was used to analyze the amplified PCR products. The kit for PCR purification (QIAGEN Sciences, Germantown, USA) was used to purify the products before commercial sequencing from Macrogen (Macrogen, Inc., Seoul, South Korea). Sequences obtained were compared with gene sequences in the NCBI GenBank database using the BlastN algorithm. Then, nucleotide sequences were aligned and a phylogenetic tree was constructed using the method of maximum likelihood (<xref ref-type="bibr" rid="B50">Kumar et&#xa0;al., 2016</xref>). The sequences were submitted to NCBI GenBank (<uri xlink:href="http://www.ncbi.nlm.nih.gov/">http://www.ncbi.nlm.nih.gov/</uri>).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Plant inoculation experiments to study the effect of drought-tolerant bacteria on rice under osmotic stress</title>
<sec id="s2_6_1">
<label>2.6.1</label>
<title>Development of drought tolerant plant growth-promoting consortium</title>
<p>A commercially available blood agar medium was used for the biosafety assessment of drought-tolerant PGP bacteria. Pure colonies were streaked on blood agar petri plates incubated at 28 &#xb1; 2&#xb0;C and for 72 h as described by <xref ref-type="bibr" rid="B60">Mogrovejo et&#xa0;al. (2020)</xref>. Zone formation around colonies was observed as indicative for hemolytic activity of the bacterium. An <italic>in vitro</italic> compatibility test of eight selected drought-tolerant bacteria (NM-1, NM-2, NM-3, NM-4, NM-5, NM-6, NM-7, and NM-8) was conducted for consortia development (<xref ref-type="bibr" rid="B73">Niu et&#xa0;al., 2018</xref>). The bacterial culture (10<sup>8</sup> CFU ml<sup>-1</sup>, 100 &#xb5;l) was spread on an LB agar plate against other tested strains as described by <xref ref-type="bibr" rid="B104">Yahya et&#xa0;al. (2021)</xref>. Then, plates were incubated at 28 &#xb1; 2&#xb0;C for 72 h. No colony formed the zone of inhibition, indicating that all the strains were compatible with each other.</p>
<p>Each bacterial culture (50 ml) of three strains, i.e., <italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophila</italic> NM-4, and <italic>Bacillus cereus</italic> NM-6, grown separately in LB broth was mixed in an equal volume to prepare consortium (10<sup>8</sup> CFU ml<sup>-1</sup>).</p>
</sec>
<sec id="s2_6_2">
<label>2.6.2</label>
<title>Plant material used</title>
<p>Seeds of drought-susceptible rice genotype Super Basmati (Variety 1; V1) (<xref ref-type="bibr" rid="B81">Sabar and Arif, 2014</xref>; <xref ref-type="bibr" rid="B62">Mumtaz et&#xa0;al., 2019</xref>) and drought-tolerant rice genotypes NIBGE-DT02 (Variety 2; V2) and IR55419-04 (Variety 3; V3) (<xref ref-type="bibr" rid="B82">Sabar et&#xa0;al., 2019</xref>) selected in our previous study (<xref ref-type="bibr" rid="B55">Mahreen et&#xa0;al., 2022</xref>) were obtained from DNA Marker and Plant Genomics Lab of Agricultural Biotechnology Division (ABD), National Institute for Biotechnology and Genetic Engineering (NIBGE) Faisalabad.</p>
</sec>
<sec id="s2_6_3">
<label>2.6.3</label>
<title>Plate assay and rhizoscanning for germination, seedling vigor index, and root morphology of rice seedlings</title>
<p>Based on the <italic>in vitro</italic> studies for drought tolerance and PGP traits, eight potential drought-tolerant isolates (NM-1, NM-2, NM-3, NM-4, NM-5, NM-6, NM-7, and NM-8) were selected to study their impact on seed germination and seedling vigor index (VI) separately and in a consortium.</p>
<p>For this assay, seed sterilization of rice genotypes was carried out with 3% NaOCl for 4&#x2013;5 min and thrice washed with autoclaved H<sub>2</sub>O. Sterilized seeds of each genotype were soaked separately in the overnight grown culture of bacteria (1 &#xd7; 10<sup>8</sup> CFU ml<sup>-1</sup>) and in a consortium (1 &#xd7; 10<sup>8</sup> CFU ml<sup>-1</sup>) for 30 min. Seeds soaked in non-inoculated LB broth were considered as a control. This experiment was carried out in a growth room kept at 28&#xb0;C for day and at 23&#xb0;C for night with a light intensity of 460 &#xb5; mol m<sup>-2</sup> s<sup>-1</sup>. Twenty seeds per petri plate were kept on moist filter paper at an equal distance in petri plates of 14-cm diameter. The plates were incubated at 28 &#xb1; 2&#xb0;C for 72 h in the dark prior to shifting in the growth room. The experiment was conducted in a complete randomized design (CRD) with three biological replicates of four treatments, i.e., non-inoculated control (non-inoculated seeds + Hoagland solution), inoculated control (inoculated seeds + Hoagland solution), osmotic stressed (non-inoculated + 20% PEG-8000-supplemented Hoagland solution), and inoculated osmotic stressed (inoculated seeds + 20% PEG-8000-supplemented Hoagland solution) for each strain, and the experiment was repeated twice. Percent germination and different parameters related to seedling growth were measured at 7 days post inoculation (DPI) (<xref ref-type="bibr" rid="B42">Islam et&#xa0;al., 2016</xref>).</p>
<p>The effect of the most efficient consortium on root parameters of all the tested rice genotypes (IR55419, NIBGE-DT02, and Super Basmati) was studied using the Rhizo scanner (Model: EPSON, v700, CA, USA) accompanied by software WinRHIZO by Regent Instruments, BC, Canada. Three seedlings per replicate were selected to study root length, shoot length, and vigor index.</p>
</sec>
<sec id="s2_6_4">
<label>2.6.4</label>
<title>Evaluation of drought-tolerant consortium on rice growth in a pot experiment under net house conditions</title>
<p>To study the inoculation effect of consortium (<italic>Bacillus</italic> sp. NM-2, <italic>Brucella</italic> sp. NM-4, and <italic>Bacillus</italic> sp. NM-6) on plant morpho-physiological and biochemical parameters, a pot experiment was carried out at NIBGE under net house conditions (31&#xb0;24&#x2032;10.7&#x2033;N 73&#xb0;01&#x2032;31.4&#x2033;E) in the rice growing season (July&#x2013;October 2021). Three rice genotype (V1, V2, and V3) nurseries were sown. Recommended management practices for healthy seedlings were done as described by <xref ref-type="bibr" rid="B107">Zahid et&#xa0;al. (2020)</xref>. Homogenized soil (pH 6.45, non-sterilized, N 4.3%, textured loamy, P 2%, and EC 3.1 mS cm<sup>-1</sup>) at 12 kg was filled in earthen pots of 14-inch height and 12-inch diameter. Before transplanting the rice nursery, earthen pots were saturated with water to settle down the soil for a few days. The soil level of pots was set aside at 5 cm below the edge. Prior to transplantation, the roots of rice seedlings were dipped in carrier material inoculated with the consortium (1 &#xd7; 10<sup>8</sup> CFU ml<sup>-1</sup>) for 30 min, whereas roots of control seedlings were dipped in non-inoculated LB broth for 30 min. The experiment was conducted in a randomized completely block design (RCBD) with three replicates of each treatment, i.e., non-inoculated control (well-irrigated and non-inoculated seedlings), inoculated control (well-irrigated and inoculated seedlings), inoculated stressed (water-stressed and inoculated seedlings), and non-inoculated stressed (water-stressed and non-inoculated seedlings). Transplantation of 35-day-old rice seedlings was done in earthen pots. Recommended doses of essential nutrients P and N were applied as urea (CH<sub>4</sub>N<sub>2</sub>O) and diammonium phosphate, respectively, as described by <xref ref-type="bibr" rid="B55">Mahreen et&#xa0;al. (2022)</xref>. Control treatment pots were well-irrigated during the whole experiment, whereas stress-treated pots were well-irrigated at 30 days after transplantation (DAT) and then exposed to water withholding for the next 15 consecutive days. During the period of water stress, i.e., for 15 days, these pots were protected from rain and then re-irrigated till harvesting.</p>
<p>At the end of the water-stress imposition, three plants per replicate from each treatment pot were taken to determine the effect of bacterial inoculation on the morphological, physiological, and biochemical parameters of plants as compared with non-inoculated control. At the harvesting time, yield-related attributes of inoculated and non-inoculated stressed plants were studied.</p>
<sec id="s2_6_4_1">
<label>2.6.4.1</label>
<title>FISH-CLSM for colonization of inoculated drought-tolerant PGPB</title>
<p>Roots of inoculated and non-inoculated plants grown under water stress and non-stressed conditions in pots were studied at 15 days after stress (DAS) with fluorescent <italic>in situ</italic> hybridization-confocal laser scanning microscopy (FISH-CLSM). The bacterial population was detected through a &#x201c;EUB338&#x201d; FLUOS-labeled probe (<xref ref-type="bibr" rid="B10">Amann et&#xa0;al., 1995</xref>) at 448 nm using an argon ion laser. Bacterial colonization on roots was visualized by using FV10-ASW 1.7 imaging software (<xref ref-type="bibr" rid="B56">Manz et&#xa0;al., 1996</xref>).</p>
<p>Rhizosphere soil was studied for the re-isolation of inoculated bacteria by viable count at 15 DAS (<xref ref-type="bibr" rid="B20">Bernal et&#xa0;al., 2022</xref>). Identification of re-isolated drought-tolerant PGP bacteria was done by comparing their morphology and PGP attributes (drought tolerance, IAA production, and P solubilization) to the pure colonies of inoculated bacteria as described by <xref ref-type="bibr" rid="B105">Yasmin et&#xa0;al. (2016)</xref>.</p>
</sec>
<sec id="s2_6_4_2">
<label>2.6.4.2</label>
<title>
<italic>In situ</italic> handheld techniques to study the inoculated plant responses to water stress</title>
<sec id="s2_6_4_2_1">
<label>2.6.4.2.1</label>
<title>Infrared thermal imaging of plants</title>
<p>An infrared FLIR E6 camera (FLIR Systems Inc., MA, USA) was used to capture thermal images. Inoculated and non-inoculated rice plants before and after water stress imposition were studied for thermal imaging on the 5th, 10th, and 15th DAS. The FLIR (E6) camera was used with the temperature range &#x2212;20 to 250&#xb0;C, IR emissivity 0.1 to 0.95, resolution 19,200 pixels (160 &#xd7; 120), range of spectra 7.5&#x2013;13 &#xb5;m,&lt;0.06&#xb0;C thermal sensitivity, and auto modes for hot/cold detection. To minimize the background temperature of the plant, a styrofoam sheet was used. The images were taken at a 1.5-m distance from plants, and the camera automatically saved the visual images simultaneously. Analysis of IR images was done using software (FLIR Systems, Inc.) as described by <xref ref-type="bibr" rid="B49">Kim et&#xa0;al. (2020)</xref>. Six thermal images of the plant from each of the genotypes per replicate were taken, and the temperature was averaged.</p>
</sec>
<sec id="s2_6_4_2_2">
<label>2.6.4.2.2</label>
<title>Infrared gas analyzer</title>
<p>All the genotypes inoculated and non-inoculated under water-stressed and well-irrigated conditions were tested for different photosynthetic parameters. An infrared gas analyzer (IRGA) (LCpro-SD Portable Photosynthetic System, Ltd., UK) was used to record the data of sub-stomatal conductance, photosynthetic rate, and photosynthetic absorbance rate (PAR) of the leaf (<xref ref-type="bibr" rid="B108">Zahra et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_6_4_2_3">
<label>2.6.4.2.3</label>
<title>Soil and plant analyzer development meter</title>
<p>A soil and plant analyzer development (SPAD) meter (SPAD 502, Japan) was used for <italic>in situ</italic> leaf chlorophyll content measurement. Readings of the SPAD meter were recorded from each replication of the tested genotypes prior to stress and on the 5th, 10th, and 15th DAS. To take readings from the SPAD meter, three different positions of leaf were selected from the base of the plant. Readings of three plants per replication and three leaves per plant were averaged for the final SPAD value (<xref ref-type="bibr" rid="B106">Yuan et&#xa0;al., 2016</xref>).</p>
</sec>
</sec>
<sec id="s2_6_4_3">
<label>2.6.4.3</label>
<title>Morpho-physiological and biochemical parameters of plants</title>
<p>To study the inoculation effect of drought-tolerant consortium plants, morphological parameters were measured at 15 DAS. Three plants per replicate of each treatment were randomly collected, and root/shoot length and fresh weight were calculated. After recording the fresh weight, plants were kept at 70&#xb0;C for 48 h in an oven then dry weight was measured (<xref ref-type="bibr" rid="B111">Zia et&#xa0;al., 2021</xref>).</p>
<p>To analyze the inoculation effect of the drought-tolerant consortium, different physio-biochemical parameters of water-stressed as well as non-stressed plants were measured, and a composite leaf sample was prepared per replicate as described by <xref ref-type="bibr" rid="B61">Motaleb et&#xa0;al. (2018)</xref>.</p>
<sec id="s2_6_4_3_1">
<label>2.6.4.3.1</label>
<title>Determination of relative water content</title>
<p>The youngest fully expanded leaves were removed to measure the relative water content of the leaf. The fresh weight (FW) of leaves was measured followed by turgid weight (TW) after soaking leaf segments in distilled water for 4 h. Then, leaf segments were oven dried at 70&#xb0;C for 24 h and dry weight (DW) was measured. Three leaves of each treatment per replicate were used to calculate relative water content (RWC) (<xref ref-type="bibr" rid="B15">Ashraf et&#xa0;al., 2006</xref>) using the following formula:</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>RWC</mml:mtext>
<mml:mo>%</mml:mo>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>Fresh&#xa0;Weight</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>Dry&#xa0;Weight</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>Turgid&#xa0;Weight</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext>Dry&#xa0;Weight</mml:mtext>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_6_4_3_2">
<label>2.6.4.3.2</label>
<title>Determination of membrane stability index</title>
<p>The membrane stability index (MSI) was measured according to the method described by <xref ref-type="bibr" rid="B5">Ahmad et al. 2022b</xref>. To measure MSI, 0.5-cm-size discs of fully expanded leaves were washed with distilled H<sub>2</sub>O and soaked in a distilled water-containing glass vial for 12 h at 24&#xb0;C. An electrical conductivity (EC) meter (portable EC meter, Hanna HI 9811-5<sup>&#xae;</sup> Instruments, USA) was used to measure the EC of the solution. Then, the sample was autoclaved at 120&#xb0;C for 20 min and EC of the solution was again measured (<xref ref-type="bibr" rid="B79">Rehman et&#xa0;al., 2016</xref>). The formula to calculate the MSI was as follows:</p>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>MSI</mml:mtext>
<mml:mo>%</mml:mo>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>EC</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>EC</mml:mtext>
<mml:mn>2</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where EC1 is the EC before autoclaving and EC2 is the EC after autoclaving.</p>
</sec>
<sec id="s2_6_4_3_3">
<label>2.6.4.3.3</label>
<title>Leaf chlorophyll contents</title>
<p>Chlorophyll contents (CHL a, CHL b, and CHL t) were measured from the same leaves used for SPAD readings of inoculated and non-inoculated water-stressed plants using the method described by <xref ref-type="bibr" rid="B23">Chen et&#xa0;al. (2016)</xref>. A homogenized sample of the leaf (0.1 g) was ground using chilled acetone (80%) followed by incubation for 24 h at 10&#xb0;C. Then, the sample was centrifuged at 13,000 rpm for 5 min. The spectrophotometer (CamSpec UV-Vis M550, UK) was used to measure the OD of the supernatant at 470-, 663-, and 645-nm wavelengths. CHL a, b, and t were calculated by using the g formula:</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>CHL&#xa0;a</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mn>12.7</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2.59</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mtext>CHL&#xa0;b</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mn>22.9</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4.68</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mtext>CHL&#xa0;t</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mn>20.2</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>645</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>+</mml:mo>
<mml:mn>8.02</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mtext>OD&#xa0;</mml:mtext>
<mml:mn>663</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_6_4_3_4">
<label>2.6.4.3.4</label>
<title>Proline content determination</title>
<p>Proline content was measured according to the method of <xref ref-type="bibr" rid="B18">Bates et&#xa0;al. (1973)</xref>. The homogenized leaf sample (0.5 g) was ground in 5-sulfosalicylic acid (3%) and centrifuged for 10 min at 14,000 rpm. 2 ml supernatant, acid ninhydrin (2 ml), phosphoric acid (6 M; 2 ml), and 2 ml glacial acetic acid were added in a test tube followed by incubation at 100&#xb0;C for 60 min in the water bath. After the incubation period, an ice bath was used to cool the reaction mixture for 10 min. Toluene (4 ml) was added to the cooled reaction mixture and vortexed for 20&#x2013;30 s. Chromophore (pink to red color) containing the upper organic layer was collected in a separate tube, and OD was measured at 520 nm using a spectrophotometer (CamSpec UV-Vis M550, UK). Different concentrations of L-proline were used to develop a standard curve for determining the concentration of proline in the sample (<xref ref-type="bibr" rid="B100">Wang et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s2_6_4_3_5">
<label>2.6.4.3.5</label>
<title>Determination of antioxidants</title>
<p>After the plant&#x2019;s morpho-physiological analysis in response to bacterial inoculation under water stress, for biochemical analysis different antioxidant enzyme activities were studied. A homogenized leaf sample of 0.1 g was used for the determination of each enzyme analysis; the details were mentioned in our previous study (<xref ref-type="bibr" rid="B55">Mahreen et&#xa0;al., 2022</xref>). Peroxidase (POD) activity was measured using guaiacol (substrate) at 470 nm on a spectrophotometer (CamSpec M350, UV visible, UK) as described by <xref ref-type="bibr" rid="B63">Munawar et&#xa0;al. (2021)</xref>. For the determination of catalase (CAT) activity, substrate H<sub>2</sub>O<sub>2</sub> was used at 240-nm wavelength (CamSpec M350, UV visible, UK) (<xref ref-type="bibr" rid="B21">Chance and Maehly, 1955</xref>). Superoxidase dismutase (SOD) activity was measured using substrate nitro blue tetrazolium (NBT) reduction at 560-nm wavelength (<xref ref-type="bibr" rid="B35">Giaanopolitis and Ries, 1977</xref>). For the determination of polyphenol oxidase (PPO) activity, L-tyrosine (substrate) was used at 280-nm wavelength as described by <xref ref-type="bibr" rid="B69">Nawaz et&#xa0;al. (2020)</xref>. The activity of phenylalanine ammonia-lyase activity (PAL) was assessed by using substrate L-phenylalanine at 290 nm as mentioned by <xref ref-type="bibr" rid="B94">Tovar et&#xa0;al. (2002)</xref>.</p>
</sec>
</sec>
<sec id="s2_6_4_4">
<label>2.6.4.4</label>
<title>Yield attributes</title>
<p>Plants grown from inoculated and non-inoculated seedlings of each genotype were harvested at maturity. Different plant growth- and yield-related parameters like the number of tillers, plant height, 100-grain weight, plant weight, and paddy yield were measured from harvested plants.</p>
</sec>
</sec>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>Data from all <italic>in vitro</italic> and pot experiments were statistically analyzed by analysis of variance (ANOVA). Least significant difference (LSD) was used to compare different treatments at 0.01% and 0.05% confidence levels for <italic>in vitro</italic> and <italic>in vivo</italic> studies using the software Statistix 10 (Analytical Software, Tallahassee, USA). For correlation in various physio-biochemical and photosynthetic parameters, yield, and IR temperature, principal component analysis (PCA) was carried out using software SPSS 21.0 (SPSS Inc., CA, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Bacterial isolation and screening for drought tolerance</title>
<p>Two hundred and fifty-five different morphotypes were isolated and screened for drought tolerance using PEG-8000-supplemented LB medium. Out of 255 bacteria, 25 were found to be drought tolerant as indicated by viability from PEG-containing medium and expressed as drought tolerance ranging from 15% to 20% (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>). Among 25 drought-tolerant bacteria, five bacteria were isolated from Sheikhupura, six from Nankana Sahib, five from Gujranwala, four from Pindi Bhattian, three from Faisalabad, and two from Kala Shah Kaku (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Bioassay for PGP traits and identification of drought-tolerant bacteria</title>
<p>Out of 25 drought-tolerant bacteria, eight bacterial strains (NM-1, NM-2, NM-3, NM-4, NM-5, NM-6, NM-7, and NM-8) showed <italic>in vitro</italic> drought-stress tolerance (20%) and plant growth-promoting activities (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1, 2</bold>
</xref>). The morphological characteristics of eight selected bacteria were studied using a light microscope (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). These bacteria belonged to genera <italic>Bacillus</italic>, <italic>Brucella</italic>, and <italic>Ochrobactrum</italic> based on 16S rRNA gene sequencing (accession numbers OP363606, OP363607, OP363608, OP363609, OP363610, OP363611, OP363612, and OP363613) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). The maximum likelihood method was used to construct a phylogenetic tree using Molecular Evolutionary Genetics Analysis Version 11 (MEGA 11) software (<xref ref-type="supplementary-material" rid="SF2">
<bold>Figure S2</bold>
</xref>). The phosphate solubilization index (SI) for these bacteria was observed on NBRIP medium ranging from 1.9 to 5.6, whereas the change in pH ranged from 3.67 to 6.55 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF3">
<bold>Figure S3</bold>
</xref>). A maximum P solubilization index (SI: 5.6) was observed for <italic>Brucella</italic> sp. NM-4 followed by <italic>Bacillus cereus</italic> NM-6 (SI: 5.2) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The maximum change in pH (3.67) was observed for <italic>Brucella</italic> sp. NM-4 (<xref ref-type="supplementary-material" rid="SF3">
<bold>Figure S3</bold>
</xref>). No halo zone was observed by the selected drought-tolerant bacteria on blood agar plates.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Plant growth-promoting traits and organic acids produced by drought-tolerant bacteria.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Drought tolerant bacteria</th>
<th valign="top" align="center">
<italic>Ochrobactrum soli</italic> NM-1</th>
<th valign="top" align="center">
<italic>Bacillus subtilis</italic> NM-2</th>
<th valign="top" align="center">
<italic>Brucella anthropi</italic> NM-3</th>
<th valign="top" align="center">
<italic>Brucella haematophilum</italic> NM-4</th>
<th valign="top" align="center">
<italic>Bacillus</italic> sp. NM-5</th>
<th valign="top" align="center">
<italic>Bacillus cereus</italic> NM-6</th>
<th valign="top" align="center">
<italic>Bacillus clarus</italic> NM-7</th>
<th valign="top" align="center">
<italic>Bacillus australimaris</italic> NM-8</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="center">Phosphate solubilization</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>Phosphate solubilization (SI)<sup>a</sup>
</bold>
</td>
<td valign="top" align="char" char="&#xb1;">2.8 &#xb1; 0.1</td>
<td valign="top" align="char" char="&#xb1;">5 &#xb1; 0.2</td>
<td valign="top" align="char" char="&#xb1;">2.3 &#xb1; 0.1</td>
<td valign="top" align="char" char="&#xb1;">5.6 &#xb1; 0.2</td>
<td valign="top" align="char" char="&#xb1;">1.9 &#xb1; 0.1</td>
<td valign="top" align="char" char="&#xb1;">5.2 &#xb1; 0.2</td>
<td valign="top" align="char" char="&#xb1;">4.9 &#xb1; 0.2</td>
<td valign="top" align="char" char="&#xb1;">1.9 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Solubilized P (&#xb5;g mL<sup>-1</sup>)<sup>b</sup>
</bold>
</td>
<td valign="top" align="char" char="&#xb1;">140 &#xb1; 3.5b</td>
<td valign="top" align="char" char="&#xb1;">313 &#xb1; 7.3a</td>
<td valign="top" align="char" char="&#xb1;">82 &#xb1; 3bc</td>
<td valign="top" align="char" char="&#xb1;">356 &#xb1; 7.5a</td>
<td valign="top" align="char" char="&#xb1;">52 &#xb1; 3c</td>
<td valign="top" align="char" char="&#xb1;">315 &#xb1; 5.2a</td>
<td valign="top" align="char" char="&#xb1;">302 &#xb1; 4.6a</td>
<td valign="top" align="char" char="&#xb1;">51 &#xb1; 3c</td>
</tr>
<tr>
<th valign="top" colspan="9" align="center">Organic acids produced (&#xb5;g mL<sup>-1</sup>)<sup>c</sup>
</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>Citric acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">12.2 &#xb1; 0.3d</td>
<td valign="top" align="char" char="&#xb1;">25.1 &#xb1; 1.2b</td>
<td valign="top" align="char" char="&#xb1;">13.2 &#xb1; 0.3d</td>
<td valign="top" align="char" char="&#xb1;">71.0 &#xb1; 3.0a</td>
<td valign="top" align="char" char="&#xb1;">11.2 &#xb1; 0.8d</td>
<td valign="top" align="char" char="&#xb1;">12.5 &#xb1; 0.5d</td>
<td valign="top" align="char" char="&#xb1;">18.3 &#xb1; 0.8c</td>
<td valign="top" align="char" char="&#xb1;">10.4 &#xb1; 0.5d</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Acetic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">70 &#xb1; 3.0d</td>
<td valign="top" align="char" char="&#xb1;">153 &#xb1; 4.7bc</td>
<td valign="top" align="char" char="&#xb1;">36 &#xb1; 1.5e</td>
<td valign="top" align="char" char="&#xb1;">178 &#xb1; 8.0a</td>
<td valign="top" align="char" char="&#xb1;">163 &#xb1; 6.7b</td>
<td valign="top" align="char" char="&#xb1;">151 &#xb1; 4.0bc</td>
<td valign="top" align="char" char="&#xb1;">161 &#xb1; 6.0b</td>
<td valign="top" align="char" char="&#xb1;">144 &#xb1; 5.5c</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gluconic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">63 &#xb1; 2.0d</td>
<td valign="top" align="char" char="&#xb1;">134 &#xb1; 7.5a</td>
<td valign="top" align="char" char="&#xb1;">33 &#xb1; 1.0e</td>
<td valign="top" align="char" char="&#xb1;">123 &#xb1; 5.5b</td>
<td valign="top" align="char" char="&#xb1;">23 &#xb1; 1.0e</td>
<td valign="top" align="char" char="&#xb1;">118 &#xb1; 5.5bc</td>
<td valign="top" align="char" char="&#xb1;">110 &#xb1; 4.5c</td>
<td valign="top" align="char" char="&#xb1;">32 &#xb1; 1.5e</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Malic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">24 &#xb1; 1.5d</td>
<td valign="top" align="char" char="&#xb1;">73 &#xb1; 3.0b</td>
<td valign="top" align="char" char="&#xb1;">20 &#xb1; 0.6d</td>
<td valign="top" align="char" char="&#xb1;">86 &#xb1; 4.0a</td>
<td valign="top" align="char" char="&#xb1;">5.7 &#xb1; 0.2f</td>
<td valign="top" align="char" char="&#xb1;">39 &#xb1; 2.0c</td>
<td valign="top" align="char" char="&#xb1;">15 &#xb1; 0.5e</td>
<td valign="top" align="char" char="&#xb1;">14 &#xb1; 0.3e</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gibberellic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">13 &#xb1; 0.5d</td>
<td valign="top" align="char" char="&#xb1;">20 &#xb1; 1.0b</td>
<td valign="top" align="char" char="&#xb1;">19 &#xb1; 0.6b</td>
<td valign="top" align="char" char="&#xb1;">30 &#xb1; 1.5a</td>
<td valign="top" align="char" char="&#xb1;">5.2 &#xb1; 0.2f</td>
<td valign="top" align="char" char="&#xb1;">12 &#xb1; 0.5d</td>
<td valign="top" align="char" char="&#xb1;">16 &#xb1; 0.5c</td>
<td valign="top" align="char" char="&#xb1;">9 &#xb1; 0.2e</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Oxalic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">8 &#xb1; 0.3e</td>
<td valign="top" align="char" char="&#xb1;">12 &#xb1; 0.5d</td>
<td valign="top" align="char" char="&#xb1;">5 &#xb1; 0.2f</td>
<td valign="top" align="char" char="&#xb1;">20 &#xb1; 1.0a</td>
<td valign="top" align="char" char="&#xb1;">7 &#xb1; 0.3e</td>
<td valign="top" align="char" char="&#xb1;">18 &#xb1; 0.7b</td>
<td valign="top" align="char" char="&#xb1;">16 &#xb1; 0.6c</td>
<td valign="top" align="char" char="&#xb1;">8 &#xb1; 0.2e</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Succinic acid</bold>
</td>
<td valign="top" align="char" char="&#xb1;">20 &#xb1; 1.0cd</td>
<td valign="top" align="char" char="&#xb1;">72 &#xb1; 3.0b</td>
<td valign="top" align="char" char="&#xb1;">23 &#xb1; 1.0c</td>
<td valign="top" align="char" char="&#xb1;">82 &#xb1; 4.0a</td>
<td valign="top" align="char" char="&#xb1;">16 &#xb1; 0.5de</td>
<td valign="top" align="char" char="&#xb1;">78 &#xb1; 3.0a</td>
<td valign="top" align="char" char="&#xb1;">13 &#xb1; 0.5e</td>
<td valign="top" align="char" char="&#xb1;">7 &#xb1; 0.2f</td>
</tr>
<tr>
<th valign="top" colspan="9" align="center">Plant growth-promoting traits</th>
</tr>
<tr>
<td valign="top" align="left">
<bold>IAA production (&#xb5;g mL<sup>-1</sup>)<sup>d</sup>
</bold>
</td>
<td valign="top" align="char" char="&#xb1;">22.2 &#xb1; 0.8</td>
<td valign="top" align="char" char="&#xb1;">31.5 &#xb1; 1.5</td>
<td valign="top" align="char" char="&#xb1;">23.0 &#xb1; 1.0</td>
<td valign="top" align="char" char="&#xb1;">46.2 &#xb1; 1.3</td>
<td valign="top" align="char" char="&#xb1;">15.7 &#xb1; 0.6</td>
<td valign="top" align="char" char="&#xb1;">37.5 &#xb1; 1.3</td>
<td valign="top" align="char" char="&#xb1;">30.2 &#xb1; 0.8</td>
<td valign="top" align="char" char="&#xb1;">14.3 &#xb1; 0.6</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ACC deaminase activity <sup>e</sup>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">+</td>
<td valign="top" align="center">++</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Siderophore production <sup>f</sup>
</bold>
</td>
<td valign="top" align="center">+</td>
<td valign="top" align="center">++++</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">++++</td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">++++</td>
<td valign="top" align="center">+++</td>
<td valign="top" align="center">++</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>EPS production (R<sub>f</sub>) <sup>g</sup>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>
<sup>a</sup>
</bold>P solubilization index (PSI) was measured from halo zone formation on a plate containing NBRIP agar having tricalcium phosphate (TCP) as insoluble P source.</p>
</fn>
<fn>
<p>
<bold>
<sup>b</sup>
</bold>Solubilized P by drought-tolerant bacteria was quantified using a spectrophotometer in liquid NBRIP medium.</p>
</fn>
<fn>
<p>
<bold>
<sup>c</sup>
</bold>Production of organic acids by drought-tolerant bacteria in NBRIP broth at the 7th day during in vitro phosphate solubilization was analyzed on HPLC.</p>
</fn>
<fn>
<p>
<bold>
<sup>d</sup>
</bold>Indole-acetic acid (IAA) quantification was done by HPLC.</p>
</fn>
<fn>
<p>
<bold>
<sup>e</sup>
</bold>ACC (1-aminocyclopropane-1-carboxylic acid) deaminase was analyzed qualitatively by using DF minimal medium supplemented with ACC as a sole source of nitrogen; + shows growth, and &#x2212; shows no growth.</p>
</fn>
<fn>
<p>
<bold>
<sup>f</sup>
</bold>Production of siderophores by tested bacteria was studied qualitatively using CAS medium. + shows level of production, and &#x2013; shows no production of siderophores.</p>
</fn>
<fn>
<p>
<bold>
<sup>g</sup>
</bold>Production of exopolysaccharides (EPS) was studied quantitatively through thin-layer chromatographic (TLC) assay. R<sub>f</sub> = retention factor.</p>
<p>symbol +, ++, +++ and ++++ showed qualitatively level of production of ACC deaminase and siderophores. "+" showed minimum level while "++++" showed maximum level of production. </p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>These potential drought-tolerant bacteria produced IAA ranging from 14.3 to 46.2 &#xb5;g ml<sup>-1</sup>. Higher IAA (46.2 &#xb5;g ml<sup>-1</sup>) was produced by <italic>Brucella</italic> sp. NM-4 followed by <italic>Bacillus cereus</italic> NM-6 (37.5 &#xb5;g ml<sup>-1</sup>) and <italic>Bacillus subtilis</italic> NM-2 (31.5 &#xb5;g ml<sup>-1</sup>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophila</italic> NM-4, <italic>Bacillus cereus</italic> NM-6, and <italic>Bacillus clarus</italic> NM-7 showed ACC deaminase activity and siderophore production (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <italic>Bacillus subtilis</italic> NM-2 showed production of fructose (polysaccharide), as indicated by the highest retention factor (R<sub>f</sub>) of 0.5 on TLC (<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>Illustrations of workflow for isolation, molecular characterization of PGPB, and experimental setup for plant responses to inoculation through biochemical and handheld techniques.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g001.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Production of organic acids</title>
<p>Drought-tolerant PGP bacteria were found to produce multiple organic acids, i.e., citric acid (10.4&#x2013;71.0 &#xb5;g ml<sup>-1</sup>), acetic acid (36&#x2013;178 &#xb5;g ml<sup>-1</sup>), gluconic acid (23&#x2013;134 &#xb5;g ml<sup>-1</sup>), malic acid (5.7&#x2013;86 &#xb5;g ml<sup>-1</sup>), and succinic acid (7&#x2013;82 &#xb5;g ml<sup>-1</sup>). Gibberellic acid (5.2&#x2013;30 &#xb5;g ml<sup>-1</sup>) was produced by <italic>Bacillus subtilis</italic> NM-2, <italic>Brucella anthropi</italic> NM-3, <italic>Brucella haematophila</italic> NM-4, and <italic>Bacillus</italic> sp. NM-5, whereas oxalic acid (5&#x2013;20 &#xb5;g ml<sup>-1</sup>) was produced by <italic>Brucella anthropi</italic> NM-3, <italic>Brucella haematophila</italic> NM-4, <italic>Bacillus cereus</italic> NM-6, and <italic>Bacillus clarus</italic> NM-7 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Effect of drought-tolerant bacteria on rice seedling&#x2019;s vigor and root morphology</title>
<p>Seed germination assay showed a positive effect of the tested bacteria on seed germination and seedlings of three rice genotypes under 20% PEG osmotic stress as compared with the non-inoculated stressed seedlings. The maximum vigor index (1009.2-1100) was observed for three tested genotypes in response to inoculation with consortium followed by <italic>Brucella haematophila</italic> NM-4 (957-1046.7) with PEG-8000-induced stress (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>).</p>
<p>Rhizoscanning of rice genotypes showed improved root length (17%) in V3 followed by a 10% increase in V2 as compared with V1 in response to inoculation with the consortium (<italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophila</italic> NM-4, and <italic>Bacillus cereus</italic> NM-6) under osmotic stress (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Inoculation also improved other parameters, i.e., length per volume (19%) increased in V3 followed by (12%) in V2 as compared with V1 and average diameter (18%) increased in V3 as compared with V1 under 20% PEG stress (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effect of drought-tolerant consortium on the growth of rice genotypes in plate assay under 20% PEG-8000 mediated stress <bold>(A)</bold>. Root/shoot lengths of the seedlings to measure the vigor index <bold>(B)</bold>. Rhizo-scanning shows the root morphology <bold>(C)</bold> of non-inoculated and consortium-inoculated roots under osmotic stress. Data were recorded at the 7th DPI of seed germination in a plate assay. Three biological replicates per treatment were analyzed for different root parameters using the Rhizo scanner.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Rhizo-scanning to study the effect of the drought-tolerant bacterial consortium on root parameters of rice seedlings grown at 20% PEG-mediated osmotic stress under growth room conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center">Genotypes</th>
<th valign="top" align="center">Root length (cm)</th>
<th valign="top" align="center">Projection area (cm<sup>2</sup>)</th>
<th valign="top" align="center">Surface area (cm<sup>2</sup>)</th>
<th valign="top" align="center">Average diameter (mm)</th>
<th valign="top" align="center">Length per volume (cm/m<sup>3</sup>)</th>
<th valign="top" align="center">Root volume (cm<sup>3</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Control</bold>
</td>
<td valign="top" align="left">
<bold>V1</bold>
</td>
<td valign="top" align="char" char="&#xb1;">27.33 &#xb1; 1.29ab</td>
<td valign="top" align="char" char="&#xb1;">0.97 &#xb1; 0.04ab</td>
<td valign="top" align="char" char="&#xb1;">3.04 &#xb1; 0.13ab</td>
<td valign="top" align="char" char="&#xb1;">0.35 &#xb1; 0.01ab</td>
<td valign="top" align="char" char="&#xb1;">27.33 &#xb1; 1.36abc</td>
<td valign="top" align="char" char="&#xb1;">0.028 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V2</bold>
</td>
<td valign="top" align="char" char="&#xb1;">26.55 &#xb1; 1.30ab</td>
<td valign="top" align="char" char="&#xb1;">0.85 &#xb1; 0.03ab</td>
<td valign="top" align="char" char="&#xb1;">2.65 &#xb1; 0.10ab</td>
<td valign="top" align="char" char="&#xb1;">0.32 &#xb1; 0.02ab</td>
<td valign="top" align="char" char="&#xb1;">26.55 &#xb1; 1.32abc</td>
<td valign="top" align="char" char="&#xb1;">0.022 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V3</bold>
</td>
<td valign="top" align="char" char="&#xb1;">27.37 &#xb1; 1.32ab</td>
<td valign="top" align="char" char="&#xb1;">0.93 &#xb1; 0.03ab</td>
<td valign="top" align="char" char="&#xb1;">2.91 &#xb1; 0.13ab</td>
<td valign="top" align="char" char="&#xb1;">0.34 &#xb1; 0.03ab</td>
<td valign="top" align="char" char="&#xb1;">27.37 &#xb1; 1.36bc</td>
<td valign="top" align="char" char="&#xb1;">0.025 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated control</bold>
</td>
<td valign="top" align="left">
<bold>V1</bold>
</td>
<td valign="top" align="char" char="&#xb1;">28.51 &#xb1; 1.41ab</td>
<td valign="top" align="char" char="&#xb1;">1.02 &#xb1; 0.06ab</td>
<td valign="top" align="char" char="&#xb1;">3.21 &#xb1; 0.16ab</td>
<td valign="top" align="char" char="&#xb1;">0.37 &#xb1; 0.02ab</td>
<td valign="top" align="char" char="&#xb1;">29.51 &#xb1; 1.47bc</td>
<td valign="top" align="char" char="&#xb1;">0.028 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V2</bold>
</td>
<td valign="top" align="char" char="&#xb1;">29.51 &#xb1; 1.39ab</td>
<td valign="top" align="char" char="&#xb1;">1.02 &#xb1; 0.04ab</td>
<td valign="top" align="char" char="&#xb1;">3.21 &#xb1; 0.16ab</td>
<td valign="top" align="char" char="&#xb1;">0.35 &#xb1; 0.03ab</td>
<td valign="top" align="char" char="&#xb1;">29.51 &#xb1; 1.43bc</td>
<td valign="top" align="char" char="&#xb1;">0.028 &#xb1; 0.001a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V3</bold>
</td>
<td valign="top" align="char" char="&#xb1;">29.58 &#xb1; 1.45ab</td>
<td valign="top" align="char" char="&#xb1;">0.92 &#xb1; 0.05ab</td>
<td valign="top" align="char" char="&#xb1;">2.88 &#xb1; 0.15ab</td>
<td valign="top" align="char" char="&#xb1;">0.31 &#xb1; 0.01ab</td>
<td valign="top" align="char" char="&#xb1;">29.58 &#xb1; 1.45bc</td>
<td valign="top" align="char" char="&#xb1;">0.023 &#xb1; 0.001a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Osmotic stressed</bold>
</td>
<td valign="top" align="left">
<bold>V1</bold>
</td>
<td valign="top" align="char" char="&#xb1;">16.35 &#xb1; 0.80b</td>
<td valign="top" align="char" char="&#xb1;">0.66 &#xb1; 0.03b</td>
<td valign="top" align="char" char="&#xb1;">2.09 &#xb1; 0.10b</td>
<td valign="top" align="char" char="&#xb1;">0.19 &#xb1; 0.01b</td>
<td valign="top" align="char" char="&#xb1;">19.07 &#xb1; 0.95c</td>
<td valign="top" align="char" char="&#xb1;">0.018 &#xb1; 0.001a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V2</bold>
</td>
<td valign="top" align="char" char="&#xb1;">20.04 &#xb1; 1.10ab</td>
<td valign="top" align="char" char="&#xb1;">0.81 &#xb1; 0.02ab</td>
<td valign="top" align="char" char="&#xb1;">2.56 &#xb1; 0.13ab</td>
<td valign="top" align="char" char="&#xb1;">0.27 &#xb1; 0.01b</td>
<td valign="top" align="char" char="&#xb1;">20.04 &#xb1; 1.02c</td>
<td valign="top" align="char" char="&#xb1;">0.020 &#xb1; 0.001a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V3</bold>
</td>
<td valign="top" align="char" char="&#xb1;">22.56 &#xb1; 1.13ab</td>
<td valign="top" align="char" char="&#xb1;">0.84 &#xb1; 0.04ab</td>
<td valign="top" align="char" char="&#xb1;">2.63 &#xb1; 0.16ab</td>
<td valign="top" align="char" char="&#xb1;">0.30 &#xb1; 0.01b</td>
<td valign="top" align="char" char="&#xb1;">22.56 &#xb1; 1.12bc</td>
<td valign="top" align="char" char="&#xb1;">0.025 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated osmotic stressed</bold>
</td>
<td valign="top" align="left">
<bold>V1</bold>
</td>
<td valign="top" align="char" char="&#xb1;">30.25 &#xb1; 1.50ab</td>
<td valign="top" align="char" char="&#xb1;">0.92 &#xb1; 0.05ab</td>
<td valign="top" align="char" char="&#xb1;">2.88 &#xb1; 0.14ab</td>
<td valign="top" align="char" char="&#xb1;">0.31 &#xb1; 0.01ab</td>
<td valign="top" align="char" char="&#xb1;">29.58 &#xb1; 1.45bc</td>
<td valign="top" align="char" char="&#xb1;">0.023 &#xb1; 0.003a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V2</bold>
</td>
<td valign="top" align="char" char="&#xb1;">33.72 &#xb1; 1.54a</td>
<td valign="top" align="char" char="&#xb1;">0.91 &#xb1; 0.05ab</td>
<td valign="top" align="char" char="&#xb1;">2.87 &#xb1; 0.14ab</td>
<td valign="top" align="char" char="&#xb1;">0.31 &#xb1; 0.05a</td>
<td valign="top" align="char" char="&#xb1;">33.72 &#xb1; 1.68b</td>
<td valign="top" align="char" char="&#xb1;">0.026 &#xb1; 0.003a</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V3</bold>
</td>
<td valign="top" align="char" char="&#xb1;">36.52 &#xb1; 1.67a</td>
<td valign="top" align="char" char="&#xb1;">1.10 &#xb1; 0.07a</td>
<td valign="top" align="char" char="&#xb1;">3.46 &#xb1; 0.20a</td>
<td valign="top" align="char" char="&#xb1;">0.38 &#xb1; 0.04ab</td>
<td valign="top" align="char" char="&#xb1;">36.52 &#xb1; 1.52a</td>
<td valign="top" align="char" char="&#xb1;">0.026 &#xb1; 0.002a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Effect of the drought-tolerant bacterial consortium on root parameters of rice genotypes; V1: Super Basmati, V2: NIBGE-DT02, and V3: IR55419-04. Seeds were soaked in the consortium (Bacillus subtilis NM-2, Brucella haematophilum NM-4, and Bacillus cereus NM-6: 1 &#xd7; 10<sup>8</sup> CFU ml<sup>-1</sup>) for 30 min prior to being kept on filter paper in a petri plate. Control seeds were dipped in non-inoculated LB broth. Treatments; Control (non-inoculated seeds + Hoagland solution), inoculated control (inoculated seeds + Hoagland solution), osmotic stressed (non-inoculated seeds + 20% PEG-8000-supplemented Hoagland solution), and inoculated osmotic stressed (inoculated seeds + 20% PEG-8000-supplemented Hoagland solution). Plates were incubated in growth room at 28 &#xb1; 2<sup>&#xb0;</sup>C for 7 days. Data were recorded at 7th DPI, and all values are an average of three biological replicates per treatment. &#xb1; shows the standard deviation. Non-significant means are followed by same letter at p = 0.01 according to LSD. Different letters a, b and c showed significant data while similar letters showed non-significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>
<italic>In planta</italic> evaluation of drought-tolerant bacteria on rice under water stress in a pot experiment</title>
<sec id="s3_5_1">
<label>3.5.1</label>
<title>
<italic>In situ</italic> handheld techniques to study the inoculated plant responses to water stress</title>
<sec id="s3_5_1_1">
<label>3.5.1.1</label>
<title>Infrared thermal imaging of inoculated plants under water stress</title>
<p>During 15 days of water withholding, plant temperatures of all genotypes at 0 days after stress (DAS) ranged between 31.4 and 32&#xb0;C. The temperature difference between non-inoculated and inoculated stressed plants was found to be significant at 15 DAS (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). A maximum increase in plant temperature was observed for non-inoculated stressed V1 (17.7%) as compared with non-inoculated well-irrigated control (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Inoculated stressed plants of all genotypes showed less increase in temperature (33&#x2013;35&#xb0;C) as compared with the non-inoculated stressed plants (34.2&#x2013;37.3&#xb0;C) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>). A percent decrease in temperature at 15 DAS was observed for inoculated V3, i.e., 3.6% followed by V2 (4.2%) as compared with non-inoculated stressed (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Evaluation of the drought-tolerant PGPB consortium on plant temperature using infrared thermal imaging (IRTI) in pot experiment under net house conditions. Rice genotypes; V1: Super Basmati, V2: NIBGE-DT02 and V3: IR55419-04. <bold>(A)</bold> IR temperature (&#xb0;C) of V1 plants, <bold>(B)</bold> IR temperature (&#xb0;C) of V2 plants, and <bold>(C)</bold> IR temperature (&#xb0;C) of V3 plants in different treatments; non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Data were an average of six biological replicates.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Infrared thermal images of rice genotypes taken by a FLIR T-E6 camera in a pot experiment under the net house. Rice genotypes V1: Super Basmati (SB), V2: NIBGE-DT02, and V3: IR55419-04. <bold>(A)</bold> Thermal image of control-inoculated plants taken at 15 days after stress (DAS) and <bold>(B)</bold> thermal image of inoculated stressed plants taken at 15 DAS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g004.tif"/>
</fig>
</sec>
<sec id="s3_5_1_2">
<label>3.5.1.2</label>
<title>Infrared gas analyzer for photosynthetic characteristics</title>
<p>Plant parameters related to photosynthesis, i.e., reference CO<sub>2</sub> (cref), photosynthetically active radiation (PAR) at leaf surface (Qleaf), sub-stomatal CO<sub>2</sub> (ci), transpiration rate (E), and photosynthetic rate (A), were reduced with the increased water stress in all tested genotypes (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Consortium inoculation significantly improved the cref (395&#x2013;411 ppm) in tested genotypes under stressed plants (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Relatively least reduction in PAR (1.4%) was recorded in inoculated V3 followed by 2.3% in V2 under stressed conditions. Consortium inoculation showed a higher value (1,509 &#xb5;mol s<sup>-1</sup> m<sup>-2</sup>) of PAR in V2 plants under stressed conditions as compared with non-inoculated stressed plants (695 &#xb5;mol s<sup>-1</sup> m<sup>-2</sup>). Consortium inoculation showed a higher value (788 &#xb5;mol mol<sup>-1</sup>) of ci in the V3-stressed plants as compared with the non-inoculated stressed plants (428 &#xb5;mol mol<sup>-1</sup>) (<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>Effect of inoculation on rice plants&#x2019; photosynthetic parameter using infrared gas analyzer (IRGA) in a pot experiment under water stress conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Treatments</th>
<th valign="top" rowspan="2" align="center">Genotypes</th>
<th valign="top" colspan="5" align="center">Photosynthetic parameters</th>
</tr>
<tr>
<th valign="top" align="center">Reference CO<sub>2</sub> (cref)<sup>a</sup>
</th>
<th valign="top" align="center">PAR at leaf surface (Qleaf)<sup>b</sup>
</th>
<th valign="top" align="center">Sub-stomatal CO<sub>2</sub> (ci)<sup>c</sup>
</th>
<th valign="top" align="center">Transpiration rate (E)<sup>d</sup>
</th>
<th valign="top" align="center">Photosynthetic rate (A)<sup>e</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated control</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="char" char="&#xb1;">406.3 &#xb1; 2.5cd</td>
<td valign="top" align="char" char="&#xb1;">795 &#xb1; 17.9c</td>
<td valign="top" align="char" char="&#xb1;">424.3 &#xb1; 12.6c</td>
<td valign="top" align="char" char="&#xb1;">235.82 &#xb1; 13.9e</td>
<td valign="top" align="char" char="&#xb1;">25.8 &#xb1; 1.7d</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="char" char="&#xb1;">399 &#xb1; 1.7cd</td>
<td valign="top" align="char" char="&#xb1;">711.7 &#xb1; 20.1d</td>
<td valign="top" align="char" char="&#xb1;">413.3 &#xb1; 20.2d</td>
<td valign="top" align="char" char="&#xb1;">398.98 &#xb1; 15.4bc</td>
<td valign="top" align="char" char="&#xb1;">24.27 &#xb1; 0.9d</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="char" char="&#xb1;">409 &#xb1; 3cd</td>
<td valign="top" align="char" char="&#xb1;">804.3 &#xb1; 25.9c</td>
<td valign="top" align="char" char="&#xb1;">446.3 &#xb1; 3.5c</td>
<td valign="top" align="char" char="&#xb1;">393.31 &#xb1; 11.5c</td>
<td valign="top" align="char" char="&#xb1;">25.13 &#xb1; 2.1d</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated control</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="char" char="&#xb1;">485 &#xb1; 13.5a</td>
<td valign="top" align="char" char="&#xb1;">1705.3 &#xb1; 32.9a</td>
<td valign="top" align="char" char="&#xb1;">856.3 &#xb1; 41.3a</td>
<td valign="top" align="char" char="&#xb1;">473.67 &#xb1; 25.8a</td>
<td valign="top" align="char" char="&#xb1;">66.97 &#xb1; 2.8a</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="char" char="&#xb1;">492 &#xb1; 8.5a</td>
<td valign="top" align="char" char="&#xb1;">1655 &#xb1; 36.7a</td>
<td valign="top" align="char" char="&#xb1;">801.7 &#xb1; 27.5b</td>
<td valign="top" align="char" char="&#xb1;">420.24 &#xb1; 9.3b</td>
<td valign="top" align="char" char="&#xb1;">60.3 &#xb1; 2.5ab</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="char" char="&#xb1;">440.7 &#xb1; 9.5b</td>
<td valign="top" align="char" char="&#xb1;">1710.3 &#xb1; 29a</td>
<td valign="top" align="char" char="&#xb1;">845 &#xb1; 21.7a</td>
<td valign="top" align="char" char="&#xb1;">473.67 &#xb1; 24.2a</td>
<td valign="top" align="char" char="&#xb1;">66.97 &#xb1; 7.2a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated stressed</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="char" char="&#xb1;">411 &#xb1; 4.6c</td>
<td valign="top" align="char" char="&#xb1;">1490.7 &#xb1; 31.7d</td>
<td valign="top" align="char" char="&#xb1;">786 &#xb1; 11.3d</td>
<td valign="top" align="char" char="&#xb1;">182.73 &#xb1; 9.9f</td>
<td valign="top" align="char" char="&#xb1;">18.63 &#xb1; 0.8d</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="char" char="&#xb1;">395 &#xb1; 4de</td>
<td valign="top" align="char" char="&#xb1;">1509 &#xb1; 44.9b</td>
<td valign="top" align="char" char="&#xb1;">781.3 &#xb1; 10b</td>
<td valign="top" align="char" char="&#xb1;">302.49 &#xb1; 15.2d</td>
<td valign="top" align="char" char="&#xb1;">51.97 &#xb1; 11.8bc</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="char" char="&#xb1;">400 &#xb1; 10.4de</td>
<td valign="top" align="char" char="&#xb1;">1515.7 &#xb1; 20.07b</td>
<td valign="top" align="char" char="&#xb1;">788 &#xb1; 21.5b</td>
<td valign="top" align="char" char="&#xb1;">314.51 &#xb1; 19.4d</td>
<td valign="top" align="char" char="&#xb1;">50.63 &#xb1; 9.6c</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated stressed</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="char" char="&#xb1;">393.3 &#xb1; 10.1de</td>
<td valign="top" align="char" char="&#xb1;">572 &#xb1; 22.9e</td>
<td valign="top" align="char" char="&#xb1;">329 &#xb1; 20.1e</td>
<td valign="top" align="char" char="&#xb1;">167.61 &#xb1; 10.8f</td>
<td valign="top" align="char" char="&#xb1;">17.6 &#xb1; 1d</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="char" char="&#xb1;">382.3 &#xb1; 9.3e</td>
<td valign="top" align="char" char="&#xb1;">695.3 &#xb1; 12.3d</td>
<td valign="top" align="char" char="&#xb1;">328.3 &#xb1; 18.9e</td>
<td valign="top" align="char" char="&#xb1;">232.82 &#xb1; 8.6e</td>
<td valign="top" align="char" char="&#xb1;">21.97 &#xb1; 2.9d</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="char" char="&#xb1;">395 &#xb1; 9.9de</td>
<td valign="top" align="char" char="&#xb1;">793.3 &#xb1; 15.6c</td>
<td valign="top" align="char" char="&#xb1;">427.7 &#xb1; 17.6c</td>
<td valign="top" align="char" char="&#xb1;">245.49 &#xb1; 13.6e</td>
<td valign="top" align="char" char="&#xb1;">22.8 &#xb1; 1.9d</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Evaluation of inoculation under water stress on plant photosynthesis related parameters:</p>
</fn>
<fn>
<p>
<sup>a</sup>Reference CO<sub>2</sub> (ppm),</p>
</fn>
<fn>
<p>
<sup>b</sup>PAR at leaf surface (&#xb5;mol s<sup>-1</sup> m<sup>-2</sup>),</p>
</fn>
<fn>
<p>
<sup>c</sup>sub-stomatal CO<sub>2</sub> (&#xb5;mol mol<sup>-1</sup>),</p>
</fn>
<fn>
<p>
<sup>d</sup>transpiration rate (mol m<sup>-2</sup> s<sup>-1</sup>), and</p>
</fn>
<fn>
<p>
<sup>e</sup>photosynthetic rate (&#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) of rice genotypes; V1: Super Basmati, V2: NIBGE-DT02, and V3: IR55419-04 under net house conditions. Treatments: non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Mean data were represented and means are an average of six-biological replicates, and each replicate has three plants (10 leaves per plant) in the homogenized sample. Means with the same letter showed non-significant data at p = 0.05, and those with different letters differ significantly according to LSD.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In all the tested genotypes, inoculation improved E of plants ranging from 182.7 to 314 mol m<sup>-2</sup> s<sup>-1</sup> under stress as compared with the non-inoculated stressed plants (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Inoculation improved A (60.3&#x2013;66.9 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) in well-irrigated plants and in stressed plants (18.6&#x2013;51.9 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_5_1_3">
<label>3.5.1.3</label>
<title>Soil and plant analyzer development for chlorophyll content</title>
<p>Plant chlorophyll content decreased variably in all the tested genotypes with the increasing water stress as indicated by SPAD meter values (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A&#x2013;C</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). SPAD showed improvement in V2-inoculated plants (3%) at 15 DAS as compared with its respective non-inoculated stressed plants (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Evaluation of the drought-tolerant consortium on plant chlorophyll content in a pot experiment under net house conditions. Using the soil plant analyzer development (SPAD) meter <bold>(A&#x2013;C)</bold> and biochemical analysis of chlorophyll a, b, and t (mg/g FW) <bold>(D&#x2013;F)</bold> in rice genotypes, V1: Super Basmati (SB), V2: NIBGE-DT02, and V3: IR55419-04 under different treatments. Non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Data were averaged for six biological replicates. Mean data were represented, and different letters showed that that data were significant at p = 0.05 according to LSD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_5_2">
<label>3.5.2</label>
<title>Morpho-physiological and biochemical parameters of inoculated plants</title>
<p>Plant growth in all tested rice genotypes was decreased under water-deficit conditions as compared with their respective well-irrigated controls (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Root/shoot lengths of three genotypes during 15 days of water withholding were significantly increased with the drought-tolerant bacterial consortium as compared with the non-inoculated stressed plants (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A, B</bold>
</xref>). The plant fresh weight of inoculated plants increased (9&#x2013;13 g) as compared with non-inoculated stressed plants (5.7&#x2013;10 g) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). Inoculation also improved the plant&#x2019;s dry weight (38.7&#x2013;85.7%) as compared with non-inoculated water-stressed plants (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Morphological representation of plants grown in pots under net house conditions. Rice genotypes; V1: Super Basmati (SB), V2: NIBGE-DT02, and V3: IR55419-04. <bold>(A)</bold> Control-well-irrigated rice plants. <bold>(B)</bold> Water-stressed non-inoculated plants. <bold>(C)</bold> Water-stressed inoculated plants. <bold>(D&#x2013;F)</bold> Shoot and root lengths of rice plants of three genotypes under different treatments of control and water stress.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Effect of the drought-tolerant PGPB consortium on plant growth parameters in a water stress pot experiment under net house conditions. Rice genotypes V1: Super Basmati (SB), V2: NIBGE-DT02, and V3: IR-55419. <bold>(A)</bold> Shoot length (cm). <bold>(B)</bold> Root length (cm). <bold>(C, D)</bold> Plant fresh and dry weights (g) under treatments; non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Data were an average of six biological replicates. Mean data were represented and means with the same letter differ non-significantly, and different letters showed that the data were significant at p = 0.05 according to LSD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g007.tif"/>
</fig>
<sec id="s3_5_2_1">
<label>3.5.2.1</label>
<title>Chlorophyll content of plants</title>
<p>Consortium inoculation stimulated the accumulation of total chlorophyll content ranging 36.97&#x2013;37.63 mg g<sup>-1</sup> f. wt. in stressed leaves as compared with non-inoculated stressed leaves (25.27&#x2013;33.9 mg g<sup>-1</sup> f. wt.) (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5D&#x2013;F</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S5</bold>
</xref>). Accumulation of CHL b (37.25 mg g<sup>-1</sup> f. wt.) was observed in inoculated V2 leaves under stress as compared with non-inoculated stressed leaves, i.e., 31.57 mg g<sup>-1</sup> f. wt. (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S5</bold>
</xref>).</p>
</sec>
<sec id="s3_5_2_2">
<label>3.5.2.2</label>
<title>Relative water content, membrane stability index, and proline content of plants</title>
<p>Inoculation of plants with the drought-tolerant consortium showed improved RWC as compared with the non-inoculated plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). RWC for inoculated stressed plants of all genotypes ranged between 47 and 51% as compared with non-inoculated stressed plants (32&#x2013;43%) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Maximum stimulation (51%) of RWC was observed in inoculated V3 leaves followed by V2 (50%) and V1 (47%) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Effect of inoculation on rice plant relative water content, membrane stability index, proline content, and antioxidant enzymes in a pot experiment under water stress conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Treatments</th>
<th valign="top" rowspan="2" align="center">Genotypes</th>
<th valign="top" rowspan="2" align="center">RWC%<sup>a</sup>
</th>
<th valign="top" rowspan="2" align="center">MSI%<sup>b</sup>
</th>
<th valign="top" rowspan="2" align="center">Proline content<sup>i</sup>
</th>
<th valign="top" colspan="5" align="center">Antioxidant enzymes<sup>c</sup>
</th>
</tr>
<tr>
<th valign="bottom" align="center">POD<sup>f</sup>
</th>
<th valign="bottom" align="center">CAT<sup>e</sup>
</th>
<th valign="bottom" align="center">PPO<sup>g</sup>
</th>
<th valign="bottom" align="center">SOD<sup>h</sup>
</th>
<th valign="bottom" align="center">PAL<sup>d</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated control</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="center">53.33 &#xb1; 2.53a</td>
<td valign="top" align="center">68.58 &#xb1; 3.21a</td>
<td valign="top" align="center">39.36 &#xb1; 1.73c</td>
<td valign="top" align="center">371.00 &#xb1; 14.9a</td>
<td valign="top" align="center">1.02 &#xb1; 0.043cd</td>
<td valign="top" align="center">14.00 &#xb1; 0.5cd</td>
<td valign="top" align="center">1.84 &#xb1; 0.06def</td>
<td valign="top" align="center">0.74 &#xb1; 0.02c</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="center">53.33 &#xb1; 2.41a</td>
<td valign="top" align="center">68.60 &#xb1; 3.23a</td>
<td valign="top" align="center">39.54 &#xb1; 1.65c</td>
<td valign="top" align="center">373.83 &#xb1; 16.5a</td>
<td valign="top" align="center">0.98 &#xb1; 0.042cd</td>
<td valign="top" align="center">18.76 &#xb1; 0.7bc</td>
<td valign="top" align="center">1.80 &#xb1; 0.07def</td>
<td valign="top" align="center">0.74 &#xb1; 0.03c</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="center">53.70 &#xb1; 2.15a</td>
<td valign="top" align="center">68.82 &#xb1; 3.15a</td>
<td valign="top" align="center">35.58 &#xb1; 1.52c</td>
<td valign="top" align="center">376.67 &#xb1; 16.8a</td>
<td valign="top" align="center">1.02 &#xb1; 0.048cd</td>
<td valign="top" align="center">15.83 &#xb1; 0.5cd</td>
<td valign="top" align="center">1.91 &#xb1; 0.08def</td>
<td valign="top" align="center">0.75 &#xb1; 0.03c</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated control</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="center">54.17 &#xb1; 2.62a</td>
<td valign="top" align="center">69.66 &#xb1; 3.42a</td>
<td valign="top" align="center">38.96 &#xb1; 1.77c</td>
<td valign="top" align="center">370.33 &#xb1; 15.1a</td>
<td valign="top" align="center">1.02 &#xb1; 0.039cd</td>
<td valign="top" align="center">13.23 &#xb1; 0.4d</td>
<td valign="top" align="center">1.89 &#xb1; 0.05def</td>
<td valign="top" align="center">0.73 &#xb1; 0.01c</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="center">52.38 &#xb1; 2.45a</td>
<td valign="top" align="center">69.72 &#xb1; 3.45a</td>
<td valign="top" align="center">39.23 &#xb1; 1.82c</td>
<td valign="top" align="center">374.33 &#xb1; 16.8a</td>
<td valign="top" align="center">1.00 &#xb1; .037cd</td>
<td valign="top" align="center">19.03 &#xb1; 0.8bc</td>
<td valign="top" align="center">1.68 &#xb1; 0.06ef</td>
<td valign="top" align="center">0.71 &#xb1; 0.02c</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="center">53.98 &#xb1; 2.58a</td>
<td valign="top" align="center">69.46 &#xb1; 3.44a</td>
<td valign="top" align="center">36.57 &#xb1; 1.47c</td>
<td valign="top" align="center">375.33 &#xb1; 15.3a</td>
<td valign="top" align="center">1.00 &#xb1; 0.034cd</td>
<td valign="top" align="center">15.33 &#xb1; 0.6cd</td>
<td valign="top" align="center">1.84 &#xb1; 0.06def</td>
<td valign="top" align="center">0.74 &#xb1; 0.02c</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated stressed</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="center">46.67 &#xb1; 1.85ab</td>
<td valign="top" align="center">59.49 &#xb1; 2.33ab</td>
<td valign="top" align="center">118.15 &#xb1; 3.39ab</td>
<td valign="top" align="center">315.33 &#xb1; 14.2ab</td>
<td valign="top" align="center">1.50 &#xb1; 0.063abc</td>
<td valign="top" align="center">21.53 &#xb1; 0.9ab</td>
<td valign="top" align="center">2.42 &#xb1; 0.08cd</td>
<td valign="top" align="center">0.93 &#xb1; 0.04bc</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="center">50.16 &#xb1; 2.25a</td>
<td valign="top" align="center">61.73 &#xb1; 2.75ab</td>
<td valign="top" align="center">168.89 &#xb1; 7.23a</td>
<td valign="top" align="center">402.67 &#xb1; 17.2a</td>
<td valign="top" align="center">1.66 &#xb1; 0.054ab</td>
<td valign="top" align="center">24.59 &#xb1; 1.1a</td>
<td valign="top" align="center">3.11 &#xb1; 0.10ab</td>
<td valign="top" align="center">1.18 &#xb1; 0.05ab</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="center">51.37 &#xb1; 2.17a</td>
<td valign="top" align="center">63.85 &#xb1; 2.79ab</td>
<td valign="top" align="center">147.42 &#xb1; 6.23a</td>
<td valign="top" align="center">407.67 &#xb1; 18.1a</td>
<td valign="top" align="center">1.80 &#xb1; 0.063a</td>
<td valign="top" align="center">24.03 &#xb1; 0.9ab</td>
<td valign="top" align="center">3.52 &#xb1; 0.11a</td>
<td valign="top" align="center">1.32 &#xb1; 0.06a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated stressed</bold>
</td>
<td valign="top" align="left">V1</td>
<td valign="top" align="center">32.02 &#xb1; 1.31b</td>
<td valign="top" align="center">49.73 &#xb1; 2.24b</td>
<td valign="top" align="center">54.97 &#xb1; 2.43c</td>
<td valign="top" align="center">175.77 &#xb1; 6.5b</td>
<td valign="top" align="center">0.80 &#xb1; 0.031d</td>
<td valign="top" align="center">11.98 &#xb1; 0.3d</td>
<td valign="top" align="center">1.33 &#xb1; 0.04f</td>
<td valign="top" align="center">0.62 &#xb1; 0.03c</td>
</tr>
<tr>
<td valign="top" align="left">V2</td>
<td valign="top" align="center">39.68 &#xb1; 1.78ab</td>
<td valign="top" align="center">58.61 &#xb1; 2.34ab</td>
<td valign="top" align="center">75.92 &#xb1; 2.73bc</td>
<td valign="top" align="center">388.00 &#xb1; 15.1a</td>
<td valign="top" align="center">1.22 &#xb1; 0.019bcd</td>
<td valign="top" align="center">22.88 &#xb1; 0.9ab</td>
<td valign="top" align="center">2.26 &#xb1; 0.08cde</td>
<td valign="top" align="center">0.94 &#xb1; 0.04bc</td>
</tr>
<tr>
<td valign="top" align="left">V3</td>
<td valign="top" align="center">42.59 &#xb1; 1.85ab</td>
<td valign="top" align="center">60.95 &#xb1; 2.41ab</td>
<td valign="top" align="center">79.31 &#xb1; 2.83bc</td>
<td valign="top" align="center">389.33 &#xb1; 14.7a</td>
<td valign="top" align="center">1.40 &#xb1; 0.019abc</td>
<td valign="top" align="center">18.74 &#xb1; 0.8bc</td>
<td valign="top" align="center">2.62 &#xb1; 0.09bc</td>
<td valign="top" align="center">0.90 &#xb1; 0.04bc</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Evaluation of consortium inoculation under water stress on</p>
</fn>
<fn>
<p>
<bold>
<sup>a</sup>
</bold>RWC&#x2014;relative water content,</p>
</fn>
<fn>
<p>
<bold>
<sup>b</sup>
</bold>MSI&#x2014;membrane stability index,</p>
</fn>
<fn>
<p>
<bold>
<sup>c</sup>&#x2014;</bold>antioxidant enzymes;</p>
</fn>
<fn>
<p>
<bold>
<sup>d</sup>
</bold>PAL activity (phenylalanine ammonia lyase) = &#xb5;m cinnamic acid g<sup>-1</sup>. f. wt.,</p>
</fn>
<fn>
<p>
<bold>
<sup>e</sup>
</bold>CAT activity (catalase) = units g<sup>-1</sup>. f. wt.,</p>
</fn>
<fn>
<p>
<bold>
<sup>f</sup>
</bold>POD activity (peroxidase) = units g<sup>-1</sup>. f. wt.,</p>
</fn>
<fn>
<p>
<bold>
<sup>g</sup>
</bold>PPO activity (polyphenol oxidase) = units g<sup>-1</sup>. f. wt.</p>
</fn>
<fn>
<p>
<bold>
<sup>h</sup>
</bold>SOD activity (superoxide dismutase) = units mL<sup>-1</sup>, and</p>
</fn>
<fn>
<p>
<bold>
<sup>i</sup>
</bold>proline content (&#xb5;M/g. f. wt.) of different rice genotypes; V1: Super Basmati, V2: NIBGE-DT02, and V3: IR55419-04 under net house conditions. Treatments: non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Mean data were represented and means are an average of six-biological replicates, and each replicate has three plants (10 leaves per plant) in the homogenized sample. Means with the same letter showed non-significant data at p = 0.05 and with different letters differ significantly according to LSD.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>MSI for inoculated stressed plants of all genotypes ranged between 59 and 63% as compared with non-inoculated stressed plants (50&#x2013;61%) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Maximum stimulation (64%) of the MSI was observed in inoculated V3 leaves followed by V2 (62%) and V1 (59%) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<p>Stress osmolyte and proline content was higher in all the genotypes with increasing water scarcity ranging from 54.97 to 79.31 &#xb5;mol g<sup>-1</sup>. f. wt. as compared with well-irrigated controls (35.58&#x2013;39.54 &#xb5;mol g<sup>-1</sup>. f. wt.) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Inoculation of the drought-tolerant consortium stimulated the stressed plants to accumulate 169 &#xb5;mol g<sup>-1</sup>. f. wt., increasing proline content in V2 followed by 147 &#xb5;mol g<sup>-1</sup>. f. wt. in V3 (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_5_2_3">
<label>3.5.2.3</label>
<title>Antioxidant enzymes</title>
<p>Drought stress modulated different plant enzymatic antioxidants (CAT, SOD, POD, PAL, and PPO) in all the tested rice genotypes except in V1 as compared with well-irrigated controls (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Consortium-inoculated plants of V2 and V3 showed that 7.7 and 8.2% increased accumulation of POD, respectively, as compared with the control plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), whereas POD activity was increased to 3.7% in consortium-inoculated V2-stressed plants as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Consortium inoculation improved the production of CAT activity by 69.4 and 76.5% in V2 and V3, respectively, under stress as compared with well-irrigated control (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). SOD activity was increased (72.8% and 84.3%) in consortium-inoculated stressed rice genotypes V2 and V3, respectively, as compared with the well-irrigated controls (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Inoculation significantly increased (8%) the PPO activity in V2 plants as compared with the non-inoculated stressed plants. Consortium-inoculated V2 showed 27% increased PAL activity followed by V1 (25.7%) as compared with the control plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Detection of inoculated drought-tolerant bacteria</title>
<p>A comparison of the bacterial populations in different treatments using FISH showed the presence of more bacteria on inoculated stressed roots as compared with the non-inoculated stressed roots (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A&#x2013;D</bold>
</xref>). The survival of inoculated drought-tolerant bacteria in the rhizosphere of rice genotypes was studied after the induction of water withholding under net house conditions in a pot experiment. To measure the viable bacterial population, the viable count method was also used at 15 DAS. <italic>Bacillus</italic> sp. NM-2, <italic>Brucella haematophila</italic> NM-4, and <italic>Bacillus</italic> sp. NM-6 were identified from reisolated colonies on the basis of light microscopic studies (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8E&#x2013;H</bold>
</xref>) and PGP traits such as solubilized P (310&#x2013;353 &#xb5;g ml<sup>-1</sup>), IAA production (30.8&#x2013;45.4 &#xb5;g ml<sup>-1</sup>), and drought tolerance at 20% PEG was checked as compared with the pure colonies (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8I</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Detection of inoculated drought-tolerant bacteria. The FISH-CLSM and viable count of rice roots at 45 DPI of drought-tolerant consortium and after 15 days of water stress imposition in the pot experiment under net house conditions. Treatments; non-inoculated control <bold>(A, E)</bold>, inoculated control <bold>(B, F)</bold>, inoculated stressed <bold>(C, G)</bold>, and non-inoculated stressed <bold>(D, H)</bold>. Determination of plant growth-promoting (PGP) traits of reisolated colonies <bold>(I)</bold>. B, bacteria; RC, root cells; CS, inoculated consortium.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g008.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Effect of the drought-tolerant consortium on rice yield attributes</title>
<p>Consortium inoculation significantly improved the yield and yield-related traits of all the tested rice genotypes under well-irrigated control as compared with non-inoculated control (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Water scarcity reduced the plant height (74&#x2013;82 cm) as compared with the control (87&#x2013;101 cm). Inoculation significantly improved the plant height (7%) of V2 under stressed conditions as compared with the non-inoculated stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Water stress adversely affected the number of tillers per plant and ultimately the yield.</p>
<p>Inoculation significantly increased (12%) the number of tillers of V2 followed by V3 (11%) and under-stressed as compared with respective non-inoculated stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). An increase of 33%, 44%, and 87% in plant fresh weight of inoculated V3, V2, and V1, respectively, was observed as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Inoculation significantly increased the grain weight (26%) in V2 plants under stress as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Principal component analysis</title>
<p>A principal component analysis (PCA) was performed to determine the correlation between plant parameters (physio-biochemical, yield, photosynthetic, IRTI, and SPAD values) of inoculated stressed and non-inoculated stressed rice genotypes (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). Principal component analysis (PCA) validated the positive correlation between consortium inoculation with grain yield, photosynthetic rate, chlorophyll content, transpiration rate, sub-stomatal conductance, reference CO<sub>2</sub>, and IR temperature across rice genotypes. The two principal components contributed up to 95% toward variance on the x-axis (PC1 = 75%) and y-axis (PC2 = 15%). No parameter was found to have a negative effect on drought-tolerant inoculation (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Principal component analysis (PCA) of different instrumental data (IRTI, IRGA, and SPAD) with biochemical parameters across different rice genotypes; V1: Super Basmati, V2: NIBGE-DT02, and V3: IR55419-04 in response to drought-tolerant consortium inoculation and non-inoculation under stress conditions. The points represent mean values of each combination of plant parameters in correlation to different treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1081537-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Water scarcity accompanied by decreased precipitation is one of the key obstacles to agricultural throughput globally and is expected to increase further, hence posing a major threat to future food security (<xref ref-type="bibr" rid="B96">Uzma et al., 2022</xref>). Pakistan is the sixth most drought-prone country in the world (<xref ref-type="bibr" rid="B95">UNCCD, 2022</xref>). In Pakistan, about 15 million hectares of cultivated area are affected by the aforementioned conditions resulting in less crop productivity and the situation is expected to worsen by the year 2025 (WHO, 2019). According to the Pakistan Rice Sector Report 2020, rice crop area decreased by 3.1% and crop production reduced to 3.3% due to a decrease in cultivated area, water shortage, and dry weather (<xref ref-type="bibr" rid="B12">Anser et&#xa0;al., 2020</xref>).</p>    <p>To cope with the adverse effects of global climate change, increasing population, and food insecurity, there is a dire need to develop and screen rice genotypes tolerant to water scarcity with high yield for sustainable rice production (<xref ref-type="bibr" rid="B97">Villalobos-L&#xf3;pez et&#xa0;al., 2022</xref>). Plant growth-promoting bacteria (PGPB) can mitigate the adverse effects of drought on crops (<xref ref-type="bibr" rid="B17">Barquero et&#xa0;al., 2022</xref>). Integration of sustainable approaches like plant-associated microbes and drought-tolerant varieties can enhance rice crop production under these alarming conditions of climate change (<xref ref-type="bibr" rid="B51">Kumar and Verma, 2019</xref>; <xref ref-type="bibr" rid="B109">Zhang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B86">Shaffique et&#xa0;al., 2022</xref>).</p>
<p>Therefore, in the present study rhizospheric soil samples were collected from major rice-growing fields for the isolation of bacteria. The isolated bacterial population was screened for drought tolerance using 20% PEG-8000 and PGP traits (IAA production, P solubilization, organic acid production, EPS, siderophore, and ACC production) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Recent studies reported that IAA-, EPS-, and ACC-producing bacteria significantly improve the growth and yield of mung bean (<xref ref-type="bibr" rid="B96">Uzma et&#xa0;al., 2022</xref>), rice (<xref ref-type="bibr" rid="B109">Zhang et&#xa0;al., 2020</xref>), and tomato (<xref ref-type="bibr" rid="B34">Ghosh et&#xa0;al., 2019</xref>) under drought stress conditions. Bacteria with a combination of drought stress tolerance and multiple PGP determinants were reported as wheat growth-promoting under well-irrigated and stressed conditions (<xref ref-type="bibr" rid="B111">Zia et&#xa0;al., 2021</xref>). <xref ref-type="bibr" rid="B24">Danish and Zafar-ul-Hye (2019)</xref> also reported that maximum drought-tolerant strains show ACC deaminase production.</p>
<p>
<xref ref-type="bibr" rid="B84">Santoyo et&#xa0;al. (2016)</xref> reported that PGPB can promote the activity of ACC deaminase, which directly or indirectly improves plant growth. PGPB can reduce the concentration of ethylene by consuming the ACC before its oxidation through ACC oxidases produced by the plant (<xref ref-type="bibr" rid="B28">Din et&#xa0;al., 2019</xref>). Drought-tolerant bacteria, i.e., <italic>E. aerogenes</italic> and <italic>B. thuringiensis</italic>, have been reported as higher phosphate-solubilizing bacteria with ACC deaminase activity (<xref ref-type="bibr" rid="B93">Timmusk et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B109">Zhang et&#xa0;al., 2020</xref>). Results of the present study showed maximum P solubilization (SI: 5.6, 356 &#xb5;g ml<sup>-1</sup>) by <italic>Brucella haematophila</italic> NM-4 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). According to <xref ref-type="bibr" rid="B96">Uzma et al., 2022</xref>, <italic>Pseudomonas aeruginosa</italic> (MK513748) showed to have maximum P solubilizing capability (95 &#xb5;g ml<sup>-1</sup>) and solubilization index (SI: 3.3). The potential drought-tolerant rhizobacteria from the present study belonged to the genera <italic>Ochrobactrum</italic> (strains: NM-1), <italic>Brucella</italic> (strains: NM-3, NM-4), and <italic>Bacillus</italic> (strains: NM-2, NM-5, NM-6, NM-7, and NM-8). <xref ref-type="bibr" rid="B4">Ahmad et al., 2022a</xref> reported that <italic>Bacillus thuringiensis</italic>, <italic>Bacillus amyloliquefaciens</italic>, and <italic>Ochrobactrum pseudogrignonense</italic> can enhance plant growth of wheat, maize, and rice under water stress.</p>
<p>In the present study, selected drought-tolerant bacteria produced acetic acid, citric acid, gluconic acid, and succinic acid during P solubilization in NBRIP medium as detected by HPLC (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The production of organic acids is one of the key mechanisms involved in P solubilization (<xref ref-type="bibr" rid="B47">Kapadia et&#xa0;al., 2022</xref>). Three most efficient drought-tolerant bacteria, i.e., <italic>Bacillus subtilis</italic> NM2, <italic>Brucella haematophila</italic> NM4, and <italic>Bacillus cereus</italic> NM-6, produced higher acetic acid, succinic acid, and gluconic acid (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <italic>Bacillus</italic> sp. and <italic>Enterobacter</italic> sp. solubilized inorganic P and produced different organic acids such as gluconic acid, citric acid, lactic acid, propionic acid, and succinic acid (<xref ref-type="bibr" rid="B85">Sarkar et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B58">Mendes et&#xa0;al., 2020</xref>).</p>
<p>Multiple strains of the genus <italic>Bacillus</italic> showed a significant role in the alleviation of abiotic stresses in different crops due to their ability to produce IAA, EPS, and siderophore production (<xref ref-type="bibr" rid="B22">Chandra et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B28">Din et&#xa0;al., 2019</xref>). Concomitant to these findings, the present study showed maximum production of IAA (46.2 &#xb5;g ml<sup>-1</sup>) by <italic>Brucella haematophila</italic> NM-4 followed by <italic>Bacillus cereus</italic> NM-6 (37.5 &#xb5;g ml<sup>-1</sup>) and <italic>Bacillus subtilis</italic> NM-2 (31.5 &#xb5;g ml<sup>-1</sup>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <xref ref-type="bibr" rid="B3">Abdelaal et&#xa0;al. (2021)</xref> reported that the growth hormone, i.e., IAA, produced by plant growth-promoting bacteria can enhance plant growth, especially the root architecture under stressed conditions. <italic>Bacillus subtilis</italic> NM-2 also showed the production of polysaccharide (fructose), detected by TLC. EPS-producing PGPB enhances soil aggregation and protects plants under water scarcity by retaining increased water potential around the root area (<xref ref-type="bibr" rid="B74">Ojuederie et&#xa0;al., 2019</xref>). These isolated bacteria also showed the production of iron-chelating compounds (i.e., siderophores) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>The improved vigor index (1009.2-1100) was observed in response to consortium inoculation under PEG-8000-induced osmotic stress (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>). <italic>Pseudomonas balearica</italic> RF-2 inoculation showed increased wheat seed germination and seedling vigor under 20% PEG-induced osmotic stress tolerance (<xref ref-type="bibr" rid="B78">Razzaq et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B111">Zia et&#xa0;al., 2021</xref>). <xref ref-type="bibr" rid="B14">Arun K et&#xa0;al. (2020)</xref> also reported that <italic>Bacillus megaterium</italic> PB50 with multifarious PGP determinants showed drought stress alleviating potency in rice plants. Inoculation of <italic>Pseudomonas fluorescence</italic> strains DR7 and DR11 stimulated the seed germination capability of foxtail millet from 13 to 141% over the non-treated seeds under the high level of osmotic stress (-0.5 MPa) (<xref ref-type="bibr" rid="B73">Niu et&#xa0;al., 2018</xref>).</p>
<p>Rhizoscanning of seedlings was also carried out to evaluate the effect of drought-tolerant PGPB on root architecture. Likewise, improved root rhizoscanning parameters like root surface area (3.46 cm<sup>2</sup>) and length per volume (36.5 cm m<sup>-3</sup>) were found in consortium-inoculated osmotic stressed seedlings (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Previous studies reported that <italic>Bacillus</italic> sp. 12D6 and <italic>Bacillus megaterium</italic> inoculation improved root architecture (root length and diameter), wheat and peanut adaptability, and nutrient uptake under water-stressed conditions (<xref ref-type="bibr" rid="B43">Jochum et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B38">Grover et&#xa0;al., 2021</xref>).</p>
<p>
<italic>In planta</italic> evaluation of the drought-tolerant consortium (<italic>Brucella</italic> sp. NM-4, <italic>Bacillus subtilis</italic> NM-2, and <italic>Bacillus cereus</italic> NM-6) was further carried out in well-irrigated and water-stressed conditions in a pot experiment under net house conditions. The beneficial PGPR associated with the plant roots and tissues reduces abiotic stress on morphological, physiological, and biochemical mechanisms (<xref ref-type="bibr" rid="B87">Shahzad et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B80">Rolli et&#xa0;al., 2015</xref>). <xref ref-type="bibr" rid="B30">Dubey et&#xa0;al. (2019)</xref> reported that plant growth parameters, i.e., root/shoot length, plant fresh and dry weights, were reduced as the water stress increased. These findings supported our results as plant fresh and dry weights of inoculated plants improved as compared with the non-inoculated stressed plants (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>), whereas significant improvement in seedling growth parameters was observed in inoculated stressed plants as compared with the non-inoculated stressed plants (<xref ref-type="bibr" rid="B7">Ali et&#xa0;al., 2022</xref>).</p>
<p>Plant growth and productivity are the results of well-regulated photosynthesis, functioning in the leaf and important interlinked physiological responses (<xref ref-type="bibr" rid="B52">Lefe et&#xa0;al., 2017</xref>). In the present study, growth inhibition in water-deficit plants might be linked with the rate of photosynthesis, which resulted in stunted plant growth and development. However, consortium inoculation showed an improved plant growth and capability to maintain a higher rate of photosynthesis, the concentration of intracellular CO<sub>2</sub>, transpiration rate, and stomatal conductance as compared with the non-inoculated stressed plants (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). <xref ref-type="bibr" rid="B19">Batool et&#xa0;al. (2020)</xref> stated that stomatal conductance, rate of transpiration, photosynthesis, and intracellular CO<sub>2</sub> are interconnected such that under drought stress downregulation in the efficiency of one decreased that of another. <xref ref-type="bibr" rid="B110">Zhang et al., 2022</xref> reported that <italic>Bacillus pumilus</italic> inoculation improved the photosynthetic characteristics (stomatal conductance, photosynthetic and transpiration rates) of <italic>G. uralensis</italic> plants grown under drought stress.</p>
<p>The present study showed stimulation (50%) of relative water content (RWC) in V2-inoculated plants as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). <xref ref-type="bibr" rid="B2">Abbasi et&#xa0;al. (2020)</xref> reported that <italic>Streptomyces</italic> strains IT25 and C-2012 not only suppressed the signals of stress in tomato plants but also improved plant water status in the form of RWC. <xref ref-type="bibr" rid="B70">Nemeskeri et&#xa0;al. (2022)</xref> stated that inoculation of <italic>Pseudomonas</italic> sp. MUS04 in tomato plants improved the water uptake and also decreased the plant temperature as compared with non-inoculated stressed plants. These findings are congruent to the present study, as a percent decrease at 15 DAS was observed in inoculated rice genotype V2, i.e., 6% as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Effect of inoculation on yield attributes under water stress in a pot experiment under net house conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatments</th>
<th valign="top" align="center">Genotypes</th>
<th valign="top" align="center">Plant height<sup>a</sup>
<break/>(cm)</th>
<th valign="bottom" align="center">No. of tillers per plant<sup>b</sup>
</th>
<th valign="bottom" align="center">Plant fresh weight<sup>c</sup>
</th>
<th valign="top" align="center">Grain weight<sup>d</sup>
<break/>(g)</th>
<th valign="bottom" align="center">100 grain weight<sup>e</sup> (g)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated control</bold>
</td>
<td valign="bottom" align="left">V1</td>
<td valign="bottom" align="char" char="&#xb1;">100.50 &#xb1; 4.8b</td>
<td valign="bottom" align="char" char="&#xb1;">10.25 &#xb1; 0.5de</td>
<td valign="bottom" align="char" char="&#xb1;">58.58 &#xb1; 2.8b</td>
<td valign="bottom" align="char" char="&#xb1;">28.15 &#xb1; 1.8e</td>
<td valign="bottom" align="char" char="&#xb1;">1.95 &#xb1; 0.1f</td>
</tr>
<tr>
<td valign="bottom" align="left">V2</td>
<td valign="bottom" align="char" char="&#xb1;">91.75 &#xb1; 1.7de</td>
<td valign="bottom" align="char" char="&#xb1;">11.75 &#xb1; 0.5c</td>
<td valign="bottom" align="char" char="&#xb1;">42.90 &#xb1; 2.03cd</td>
<td valign="bottom" align="char" char="&#xb1;">31.55 &#xb1; 0.8cd</td>
<td valign="bottom" align="char" char="&#xb1;">2.70 &#xb1; 0.29e</td>
</tr>
<tr>
<td valign="bottom" align="left">V3</td>
<td valign="bottom" align="char" char="&#xb1;">87.25 &#xb1; 3.2f</td>
<td valign="bottom" align="char" char="&#xb1;">10.70 &#xb1; 0.5d</td>
<td valign="bottom" align="char" char="&#xb1;">43.68 &#xb1; 0.6c</td>
<td valign="bottom" align="char" char="&#xb1;">32.45 &#xb1; 0.9bc</td>
<td valign="bottom" align="char" char="&#xb1;">2.90 &#xb1; 0.14e</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated control</bold>
</td>
<td valign="bottom" align="left">V1</td>
<td valign="bottom" align="char" char="&#xb1;">111.50 &#xb1; 3.7a</td>
<td valign="bottom" align="char" char="&#xb1;">12.00 &#xb1; 0.8c</td>
<td valign="bottom" align="char" char="&#xb1;">70.1 &#xb1; 2.5a</td>
<td valign="bottom" align="char" char="&#xb1;">30.20 &#xb1; 1.3d</td>
<td valign="bottom" align="char" char="&#xb1;">3.50 &#xb1; 0.58d</td>
</tr>
<tr>
<td valign="bottom" align="left">V2</td>
<td valign="bottom" align="char" char="&#xb1;">97.50 &#xb1; 4.2bc</td>
<td valign="bottom" align="char" char="&#xb1;">14.00 &#xb1; 0.8a</td>
<td valign="bottom" align="char" char="&#xb1;">61.13 &#xb1; 2.6b</td>
<td valign="bottom" align="char" char="&#xb1;">34.45 &#xb1; 1.3ab</td>
<td valign="bottom" align="char" char="&#xb1;">5.30 &#xb1; 0.27b</td>
</tr>
<tr>
<td valign="bottom" align="left">V3</td>
<td valign="bottom" align="char" char="&#xb1;">93.25 &#xb1; 2.9cd</td>
<td valign="bottom" align="char" char="&#xb1;">12.73 &#xb1; 0.5b</td>
<td valign="bottom" align="char" char="&#xb1;">58.65 &#xb1; 2.9b</td>
<td valign="bottom" align="char" char="&#xb1;">36.30 &#xb1; 1a</td>
<td valign="bottom" align="char" char="&#xb1;">5.95 &#xb1; 0.1a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Inoculated stressed</bold>
</td>
<td valign="bottom" align="left">V1</td>
<td valign="bottom" align="char" char="&#xb1;">87.75 &#xb1; 1.7ef</td>
<td valign="bottom" align="char" char="&#xb1;">6.50 &#xb1; 0.6g</td>
<td valign="bottom" align="char" char="&#xb1;">35.23 &#xb1; 1.5e</td>
<td valign="bottom" align="char" char="&#xb1;">15.80 &#xb1; 0.3h</td>
<td valign="bottom" align="char" char="&#xb1;">2.25 &#xb1; 0.21f</td>
</tr>
<tr>
<td valign="bottom" align="left">V2</td>
<td valign="bottom" align="char" char="&#xb1;">88.00 &#xb1; 2.16ef</td>
<td valign="bottom" align="char" char="&#xb1;">10.20 &#xb1; 0.5de</td>
<td valign="bottom" align="char" char="&#xb1;">33.00 &#xb1; 1.8ef</td>
<td valign="bottom" align="char" char="&#xb1;">21.7 &#xb1; 0.7fg</td>
<td valign="bottom" align="char" char="&#xb1;">3.70 &#xb1; 0.36cd</td>
</tr>
<tr>
<td valign="bottom" align="left">V3</td>
<td valign="bottom" align="char" char="&#xb1;">84.25 &#xb1; 1.7fg</td>
<td valign="bottom" align="char" char="&#xb1;">9.95 &#xb1; 0.2e</td>
<td valign="bottom" align="char" char="&#xb1;">40.18 &#xb1; 2.1d</td>
<td valign="bottom" align="char" char="&#xb1;">23.70 &#xb1; 0.9f</td>
<td valign="bottom" align="char" char="&#xb1;">4.00 &#xb1; 0.2c</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>Non-inoculated stressed</bold>
</td>
<td valign="bottom" align="left">V1</td>
<td valign="bottom" align="char" char="&#xb1;">73.75 &#xb1; 3.3h</td>
<td valign="bottom" align="char" char="&#xb1;">3.98 &#xb1; 0.05h</td>
<td valign="bottom" align="char" char="&#xb1;">18.85 &#xb1; 0.9h</td>
<td valign="bottom" align="char" char="&#xb1;">11.45 &#xb1; 0.8i</td>
<td valign="bottom" align="char" char="&#xb1;">1.37 &#xb1; 0.04g</td>
</tr>
<tr>
<td valign="bottom" align="left">V2</td>
<td valign="bottom" align="char" char="&#xb1;">81.50 &#xb1; 1.3g</td>
<td valign="bottom" align="char" char="&#xb1;">8.75 &#xb1; 0.5f</td>
<td valign="bottom" align="char" char="&#xb1;">23.00 &#xb1; 0.8g</td>
<td valign="bottom" align="char" char="&#xb1;">16.25 &#xb1; 0.6h</td>
<td valign="bottom" align="char" char="&#xb1;">2.03 &#xb1; 0.1f</td>
</tr>
<tr>
<td valign="bottom" align="left">V3</td>
<td valign="bottom" align="char" char="&#xb1;">80.00 &#xb1; 3.7g</td>
<td valign="bottom" align="char" char="&#xb1;">8.95 &#xb1; 0.05f</td>
<td valign="bottom" align="char" char="&#xb1;">30.13 &#xb1; 2.01f</td>
<td valign="bottom" align="char" char="&#xb1;">20.30 &#xb1; 0.7g</td>
<td valign="bottom" align="char" char="&#xb1;">2.00 &#xb1; 0.1f</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Evaluation of inoculation under water stress on yield and yield related attributes:</p>
</fn>
<fn>
<p>
<sup>a</sup>Plant height (cm),</p>
</fn>
<fn>
<p>
<sup>b</sup>no. of tillers per plant,</p>
</fn>
<fn>
<p>
<sup>c</sup>plant fresh weight (g),</p>
</fn>
<fn>
<p>
<sup>d</sup>grain weight (g), and</p>
</fn>
<fn>
<p>
<sup>e</sup>100 grain weight (g) of rice genotypes; V1: Super Basmati, V2: NIBGE-DT02, and V3: IR55419-04 under net house conditions. Treatments: non-inoculated control, inoculated control, inoculated stressed, and non-inoculated stressed. Mean data were represented and means are an average of six biological replicates, and each replicate has three plants (10 leaves per plant) in the homogenized sample. Means with the same letter showed non-significant data at p = 0.05, and those with different letters differ significantly according to LSD.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="bibr" rid="B7">Ali et&#xa0;al. (2022)</xref> reported that inoculation of <italic>Bacillus</italic> strains improved the chlorophyll content in drought and salt-stressed rice plants as compared with the non-inoculated stressed plants. However, in the present study in plants inoculated with the drought-tolerant consortium, an increased amount of chlorophyll content was observed (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4, S6</bold>
</xref>). This increase in chlorophyll content might be the source of improved plant growth under water-deficit conditions (<xref ref-type="bibr" rid="B66">Nadeem et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B6">Ahmad et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B45">Kang et&#xa0;al., 2014</xref>). The present study showed that inoculation with the drought-tolerant plant growth-promoting consortium stimulated stressed plants to accumulate proline content with 122%, 114%, and 85.8% increased rates in three rice genotypes, i.e., V2, V1, and V3, respectively, as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). <xref ref-type="bibr" rid="B103">Wu et&#xa0;al. (2014)</xref> stated that inoculated plants synthesized and accumulated a significant amount of proline, a compatible solute, to develop osmotic adjustment under water stress. Accumulation of osmoprotectant (proline) is one of the key cellular adaptations that plants undergo for osmotic adjustment during water scarcity (<xref ref-type="bibr" rid="B112">Zouari et&#xa0;al., 2019</xref>). <xref ref-type="bibr" rid="B86">Shaffique et&#xa0;al. (2022)</xref> reported that PGPB increases the proline content in plants, which minimizes dehydration loss, protects membrane proteins, and maintains cellular turgidity caused by water stress. <xref ref-type="bibr" rid="B25">Dastogeer et&#xa0;al. (2020)</xref> reported that the proline content and photosynthetic rate of plants are closely linked, which is consistent with our results, whereas consortium inoculation increased proline content in all tested genotypes under water scarcity, confirming the beneficial role of proline in maintaining photosynthetic activity (<xref ref-type="bibr" rid="B4">Ahmad et&#xa0;al., 2022a</xref>).</p>
<p>Increased electrolyte leakage (EL) damages the plant cell membrane under abiotic stress (<xref ref-type="bibr" rid="B33">Gangadhar et&#xa0;al., 2016</xref>). The present study showed that the PGPB consortium improved the membrane stability index by 62% of V2 under water stress as compared with the non-inoculated stress plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). <xref ref-type="bibr" rid="B96">Uzma et&#xa0;al. (2022)</xref> reported that plant growth-promoting bacterial inoculation increased the membrane stability of plants under water-stressed conditions as compared with the non-inoculated stressed plants.</p>
<p>In the current study, we found that the consortium-inoculated three rice genotypes (V2, V3, and V1) showed increased accumulation of antioxidants (SOD, CAT, PAL, PPO, and POD) variably under water stress as compared with non-inoculated stressed plants (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). <xref ref-type="bibr" rid="B9">Al-Zahrani et&#xa0;al. (2022)</xref> reported that plant inoculation with PGPB often reduces the overproduction of ROS by producing more ROS-scavenging enzymes. Antioxidant enzyme production is an effective mechanism, i.e., microbe-induced systemic tolerance (MIST), which confers tolerance to drought (<xref ref-type="bibr" rid="B32">Fadiji et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B89">Singh et&#xa0;al. (2020)</xref> reported that microbial inoculation activated the antioxidant enzymes PAL and PPO in plants to alleviate oxidative stress and crop yield as compared with the non-inoculated plants.</p>
<p>Consortium inoculation significantly improved the yield and yield-related attributes of all the tested genotypes under well-irrigated treatment (IC) as compared with their well-irrigated controls (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). <xref ref-type="bibr" rid="B39">Ilyas et&#xa0;al. (2020)</xref> reported that PGPB improves root architecture that helps to enhance plants&#x2019; water and nutrient uptake efficiency, resulting in low plant temperature and better growth and yield under water scarcity. Inoculation significantly increased the grain weight (26%) of V2 under water scarcity as compared with non-inoculated water-stressed plants (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). <xref ref-type="bibr" rid="B77">Raheem et&#xa0;al. (2018)</xref> reported that plant inoculation with drought-tolerant plant growth-promoting bacteria improved the shoot length, the number of grains, and the total yield as compared with their respective control (non-inoculated) stressed plants.</p>
<p>Principal component analysis (PCA) confirmed the positive correlation between drought-tolerant bacterial inoculation with grain yield, photosynthetic rate, chlorophyll content, transpiration rate, sub-stomatal conductance, reference CO<sub>2</sub>, and IR temperature across inoculated varieties (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). No parameter was found to have a negative effect on drought-tolerant bacterial inoculation. Regression analysis further validated the positive correlation between yield, photosynthetic rate, IR temperature, and POD in inoculated rice plants (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<p>PGPB used multiple direct and indirect mechanisms, i.e., IAA production, phosphate solubilization, EPS production, ACC deaminase activity, and siderophore production for the alleviation of drought stress and plant growth promotion. Through these mechanisms, rhizobacteria enhance the water-retaining capability of the soil and improve photosynthetic characteristics, water uptake, and nutrient uptake by plants through alteration in root architecture, which in return reduces the plants&#x2019; temperature, alleviates ethylene stress in plants, and enhances cellular turgor and osmotic adjustment through the accumulation of osmoprotectant (proline) under water-deficit conditions. Hence, as a result of this, the beneficial interaction between drought-tolerant PGPB and plants improved the crop yield under water scarcity.</p>
<p>In Pakistan, Basmati rice with aromatic long grain has significant importance among rice traders, millers, and consumers. It covers more than 80% of the total Basmati area in the major rice-growing province Punjab, but it is susceptible to water stress (<xref ref-type="bibr" rid="B82">Sabar et&#xa0;al., 2019</xref>). The current scenario of the climatic shift resulted in uncertainty for rice growers due to water shortage. In the present study, consortium inoculation showed its supporting role to sustain the yield of rice genotypes NIBGE-DT02 and Super Basmati under water scarcity. The integration of drought-tolerant bioinoculant and genotype (NIBGE-DT02) will lead to improved water stress tolerance concomitant with the increased yield under alarming conditions of climate change. Based on the promising results of the designed consortium, whole-genome sequencing of the promising drought-tolerant plant growth-promoting bacteria (<italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophilum</italic> NM-4, and <italic>Bacillus cereus</italic> NM-6) was performed (unpublished data) and is currently being annotated and studied for genes and multiple pathways involved in drought tolerance. This will allow more insight into the genetics behind the synergism between the drought-tolerant bacteria and pants to alleviate and survive under severe water stress.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Exploiting the beneficial consortium as bioinoculant and drought-tolerant rice genotypes can efficaciously enhance crop productivity under water scarcity. Novel strains <italic>Bacillus subtilis</italic> NM-2, <italic>Brucella haematophilum</italic> NM-4, and <italic>Bacillus cereus</italic> NM-6 that can produce EPS, IAA, siderophore, ACC deaminase, and organic acids and solubilize P were drought-tolerated up to -0.5 MPa (20% PEG-8000). The developed consortium showed the efficient ability to alleviate drought stress in the rice genotype with significantly improved grain yield. Furthermore, bacterial inoculation will be investigated to explore the real-time expression of drought-responsive genes in rice plants under osmotic stress. Hence, in the future, integrated application of these potential drought-tolerant bacteria along with drought-tolerant rice genotypes and advanced non-destructive, handheld robust instruments, i.e., infrared thermal imaging (IRTI) and infrared gas analyzer (IRGA), with conventional methods will be used for the efficient selection and timely prevention of yield loss from water scarcity.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>NM did the overall execution of the experiment, analytical work, collection of IRGA data, infrared thermal images and software analysis, collection of data after morpho-physiological and biochemical analysis of leaves, organization of resulting data, and writing up and revision of manuscript. MAr and SYa contributed to the planning, designing and finalization of basic idea of experiments and overall supervision during analytical work, revised and finalized the manuscript. MAs did the arrangement and provision of rice seeds, contributed in study basic idea and planning of net house experiment and help in data collection. MY and KE performed data analysis and reviewed the manuscript. SYo helped in plant antioxidant analysis and data execution. M-u-R and SZ provide the Infrared Gas Analyzer and helped in the data collection and analysis. IA helped in the sequencing of 16S rRNA gene amplification. AI helped in FISH analysis and SK helped exopolysaccharide detection. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We are highly thankful to Asian Development Bank (ADB) project KSTA: 6663-PAK," NRPU Higher Commission (HEC) project "20-14919/NRPU/R&amp;D/HEC/2021" and Pakistan Science Foundation (PSF) project &#x201c;PSF/CRP/T-helix (188)&#x201d; for research support. We also acknowledged Mr. Mohy ud din (Research Associate, NIAB) for his help in plant antioxidant analysis. Thanks are due to Zahid Iqbal Sajid (Principal Scientific Assistant) for his help in plant biochemical analysis. We are also thankful to Qaiser Zaman, Asgher Rajoka, M. Sarwar, M. Imran, and Zakir (Technical assistant, NIBGE) for their help in the lab and net house experiments.</p>
</ack>
<sec id="s8" 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="s9" 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>
<sec id="s10" 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.2023.1081537/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2023.1081537/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.jpeg" id="SF1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Total colony forming units (CFU) obtained at different concentrations of Polyethylene Glycol (PEG)-induced stress in LB medium for isolation of drought tolerant bacteria. FB: Faisalabad, SK: Sialkot, SP: Sheikhupura, HF: Hafizabad, PB: Pindi Bhattian, NN: Nankana Sahib, NM: Narang Mandi, GW: Gujranwala and FA: Farooqabad.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.jpeg" id="SF2" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Phylogenetic tree based on 16S rRNA sequencing of drought-tolerant bacteria</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.jpeg" id="SF3" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>pH change at 7<sup>th</sup> day of post inoculation (DPI) by rice rhizosphere drought tolerant bacteria in NBRIP&#x2032;s broth having tricalcium phosphate (TCP) as insoluble phosphate source.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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