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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.2024.1378707</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>Drought stress tolerance and metabolomics of <italic>Medicago sativa</italic> induced by <italic>Bacillus amyloliquefaciens</italic> DGL1</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2546620"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xie</surname>
<given-names>Yongli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qiao</surname>
<given-names>Youming</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chang</surname>
<given-names>Feifei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Tian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Junxi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Lingling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<aff id="aff1">
<sup>1</sup>
<institution>College of Agriculture and Animal Husbandry, Qinghai University</institution>, <addr-line>Xining</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Use of Forage Germplasm Resources on Tibetan Plateau of Qinghai Province, Qinghai University</institution>, <addr-line>Xining</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>State Key Laboratory of Plateau Ecology and Agriculture of Qinghai University</institution>, <addr-line>Xining, Qinghai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Xining Forestry Scientific Research Institute</institution>, <addr-line>Xining, Qinghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Weiqiang Li, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Muhammad Ahsan Asghar, Aarhus University, Denmark</p>
<p>Hammad Ahmad Jan, University of Buner, Pakistan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yongli Xie, <email xlink:href="mailto:qhdxxyl@163.com">qhdxxyl@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1378707</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Yang, Xie, Qiao, Chang, Wang, Li, Wu, Li and Gao</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Yang, Xie, Qiao, Chang, Wang, Li, Wu, Li and Gao</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>
<sec>
<title>Introduction</title>
<p>This study used <italic>Bacillus amyloliquefaciens</italic> DGL1 isolated from the arid sandy land of the Qinghai&#x2013;Tibetan Plateau as the research strain and investigated the effects of DGL1 on the biomass, physiology, and metabolites of <italic>Medicago sativa</italic> under different intensities of drought stress to provide a high-quality bacterial source and a theoretical basis for the research and development of biological fertilizer suitable for arid areas.</p>
</sec>
<sec>
<title>Methods</title>
<p>The exopolysaccharides (EPS), 1-Aminocyclopropane-1-carboxylate deaminase (ACC), and phosphorus solubilizing capacity of DGL1 were determined. The effects of a DGL1 suspension on alfalfa biomass, physiological indexes, degree of peroxidation of cell membranes, and activity of antioxidant enzymes were determined after irrigating roots under drought stress. The effects on soil physicochemical properties were also evaluated, and metabolomics analysis was performed to explore the effect of DGL1 on the metabolites of alfalfa under drought stress.</p>
</sec>
<sec>
<title>Results</title>
<p>Strain DGL1 produced extracellular polysaccharide EPS and ACC deaminase and was capable of phosphorus solubilization. Treatment with DGL1 increased the biomass of alfalfa under different degrees of drought stress, significantly increased the activities of alfalfa antioxidant enzymes <italic>Super Oxide Dismutase</italic> (SOD), Peroxidase (POD), and catalase (CAT), reduced the content of MDA and H<sub>2</sub>O<sub>2</sub>, and increased the content of quick-acting phosphorus, quick-acting potassium, ammonium nitrogen, and nitrate nitrogen in the soil, thus improving soil fertility. Through metabolomics analysis, DGL1 was shown to affect amino acid metabolic pathways, such as arginine, leucine, glutamate, and tyrosine, as well as the levels of energy-providing polysaccharides and lipids, in alfalfa under 15% PEG-6000 drought stress, enhancing alfalfa&#x2019;s capacity to resist drought stress.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Strain DGL1 enhances the drought suitability of alfalfa and has the potential for dryland development as a biological agent.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<italic>Bacillus amylolyticus</italic>
</kwd>
<kwd>alfalfa</kwd>
<kwd>drought stress</kwd>
<kwd>antioxidant enzymes</kwd>
<kwd>growth promotion</kwd>
<kwd>metabolomics</kwd>
</kwd-group>
<contract-sponsor id="cn001">Qinghai Provincial Department of Science and Technology<named-content content-type="fundref-id">10.13039/501100011501</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="10"/>
<table-count count="1"/>
<equation-count count="1"/>
<ref-count count="37"/>
<page-count count="15"/>
<word-count count="7809"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Alfalfa, which has a high grass yield, strong resistance, and good palatability, is rich in proteins, amino acids, and a variety of vitamins, in addition to being a high-quality legume forage grass consumed by livestock (<xref ref-type="bibr" rid="B6">Carter and Sheaffer, 1983</xref>). Alfalfa has a well-developed root system that can fix free nitrogen in the air with the help of rhizobacteria to improve soil quality, crucial to the agriculture and animal husbandry industries, and therefore being planted all over the world (<xref ref-type="bibr" rid="B24">Radovi&#x107; et&#xa0;al., 2009</xref>). Although alfalfa is highly drought tolerant, it requires a large amount of water for growth; thus, cultivation in arid and semi-arid areas is overly dependent on irrigation, and the growth process is susceptible to drought stress (<xref ref-type="bibr" rid="B2">Attram et&#xa0;al., 2016</xref>). The growth indicators of alfalfa, such as stem length, stem thickness, number of tillers, and leaf area, decrease after being subjected to drought stress (<xref ref-type="bibr" rid="B11">He et&#xa0;al., 2022</xref>). Alfalfa growth and physiological characteristics can also be limited. Irigoyen found that drought stress reduced the photosynthetic rate of alfalfa, significantly increased the MDA and H<sub>2</sub>O<sub>2</sub> content, and inhibited peroxidase synthesis (<xref ref-type="bibr" rid="B12">Irigoyen et&#xa0;al., 1992</xref>). In addition, the nutritional value of alfalfa decreases after a period of drought (<xref ref-type="bibr" rid="B17">Liu et&#xa0;al., 2018</xref>).</p>
<p>To promote sustainable plant production in adverse environments, the use of beneficial microorganisms has become an effective means of mitigating abiotic stress. Tolerant microorganisms increase the adaptive capacity to abiotic stress by enhancing the antioxidant potential of the plant, improving nutrient acquisition, preventing fungal or bacterial diseases, modulating phytohormones, and inducing systemic resistance in a variety of ways, thus increasing plant biomass and crop yield (<xref ref-type="bibr" rid="B3">Basu et&#xa0;al., 2021</xref>). Rashid&#x2019;s screening of rhizospheric <italic>Bacillus</italic> in arid and semi-arid regions and under drought stress on wheat seed germination and seedling growth showed that inoculation with <italic>Bacillus megaterium</italic> increased wheat germination and biomass and enhanced the drought tolerance of wheat (<xref ref-type="bibr" rid="B25">Rashid et&#xa0;al., 2022</xref>). Ethylene produced by plants under biotic or abiotic stress has been reported to cause tissue damage and interfere with normal plant growth and development. Interestingly, ACC deaminase produced by plant growth-promoting rhizobacteria (PGPR) cleaves the ethylene precursor substance, ACC, produced by the host plant into &#x3b1;-Ketobutyric acid and ammonia, thereby mitigating the inhibitory effect of excess ethylene on the growth of the plant body (<xref ref-type="bibr" rid="B21">Murali et&#xa0;al., 2021</xref>). Sarapat used genetic engineering to enhance the production of ACC deaminase activity using <italic>Bradyrhizobium</italic> strains, and the modified strains improved symbiosis with plants and drought tolerance (<xref ref-type="bibr" rid="B27">Sarapat et&#xa0;al., 2020</xref>). In addition, <italic>Bacillus</italic> improves the drought tolerance of host plants by secreting antioxidant enzymes that help plants scavenge oxygen radicals (<xref ref-type="bibr" rid="B26">Saikia et&#xa0;al., 2018</xref>). Inoculation with <italic>Bacillus</italic> has been reported to significantly increase the activities of the antioxidant enzymes SOD, CAT, and POD in wheat, suggesting that microbial inoculation has the potential to alleviate water stress in wheat (<xref ref-type="bibr" rid="B29">Sood et&#xa0;al., 2020</xref>). Moreover, EPS produced by <italic>Bacillus</italic> can maintain stable soil and water binding, which increases the inter-root available water for plants, promotes soil water-holding capacity and fertility, and enhances microbial tolerance under drought stress (<xref ref-type="bibr" rid="B10">Hale et&#xa0;al., 2021</xref>). <italic>Bacillus</italic> can also convert insoluble phosphate in the soil into effective phosphorus that can be absorbed and utilized by plants, improving the utilization rate of phosphorus in the soil and thus increasing the phosphorus nutrition of plants (<xref ref-type="bibr" rid="B37">Zhang et&#xa0;al., 2023</xref>). Maria reported that the phosphorus absorption rate of cucumber increased by 40% after inoculation with <italic>Bacillus subtilis</italic> QST713 (<xref ref-type="bibr" rid="B1">Ana Mar&#xed;a and Delgado, 2016</xref>). With a fast reproduction rate, high resistance and metabolism ability, and wide distribution range, <italic>Bacillus</italic> is a transforming factor for insoluble compounds, such as nitrogen, phosphorus, and potassium, in the soil environment, which improves soil fertility, indirectly provides more nutrients to the host plant, and helps the plant to adapt to an adverse environment (<xref ref-type="bibr" rid="B28">Shen et&#xa0;al., 2023</xref>).</p>
<p>Few studies have been reported on the application of isolated indigenous <italic>Bacillu</italic>s screened on the Tibetan Plateau for the growth of pasture grasses under drought stress. In the present study, we used <italic>Bacillus amylolyticus</italic> DGL1 isolated from the rhizosphere of <italic>Nitraria tangutorum</italic> in the arid sandy area of Dagler, Haixi Prefecture, Qinghai Province, China (altitude 3010&#xa0;m), as the object of study. We studied the effect of DGL1 on the growth indexes and physiological characteristics of alfalfa under drought stress and used metabolomics to explore the induction of differential metabolites by <italic>Bacillus</italic> DGL1 in alfalfa. The results of this study provide new ideas and a scientific basis for the improvement of the adaptive ability of alfalfa under drought adversity using <italic>Bacillus</italic>.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.2</label>
<title>Determination of the biological activity of strain DGL1</title>
<sec id="s2_1_1">
<label>2.2.1</label>
<title>EPS production capacity</title>
<p>After overnight incubation of strain DGL1 in LB liquid medium (200 rpm, 37&#xb0;C), strain DGL1 was used to inoculate EPS special medium (2% yeast extract, 1.5% K<sub>2</sub>HPO<sub>4</sub>, 0.02% MgSO<sub>4</sub>, 0.0015% MnSO<sub>4</sub>, 0.0015% FeSO<sub>4</sub>, 0.003% CaCl<sub>2</sub>, 0.0015% NaCl, 1.5% agar, 10% sucrose, pH 7.5) and incubated for 2&#xa0;d. EPS production was determined by the appearance of mucus on the surface of the medium (<xref ref-type="bibr" rid="B13">Jian-Feng, 2009</xref>).</p>
</sec>
<sec id="s2_1_2">
<label>2.2.2</label>
<title>ACC deaminase-producing ability</title>
<p>Strain DGL1 was cultured in a nitrogen-free liquid medium (200 rpm, 37&#xb0;C) for 1&#xa0;d, and 100 &#x3bc;L of the above bacterial solution was aspirated and used to inoculate DF basic medium for 1&#xa0;d. The strain was then transferred to 0.5 M DF basic medium (ADF) with ACC as the only nitrogen source for 2&#xa0;d (200 rpm, 30&#xb0;C). The strain, if grown normally in ADF medium, had the ability to produce ACC deaminase (<xref ref-type="bibr" rid="B21">Murali et&#xa0;al., 2021</xref>).</p>
<p>The ACC deaminase (ACCD) enzyme immunoassay was used to determine the amount of ACC deaminase produced by DGL1. Blank wells, standard wells, and wells of the samples to be tested were set up on an enzyme-coated plate. In the enzyme-coated plate, 50 &#x3bc;L of standard was added accurately, and 40 &#x3bc;L of sample diluent was added to the sample wells to be tested. Then, 10 &#x3bc;L of the sample to be tested was added, incubated for 30&#xa0;min, and washed five times with a washing solution. A volume of 50 &#x3bc;L of enzyme-labeling reagent was added, and the plates were incubated for 30&#xa0;min and washed five times. The colorant and termination solutions were added, and the absorbance was measured at 450 nm.</p>
</sec>
<sec id="s2_1_3">
<label>2.2.3</label>
<title>Phosphorus solubilization capacity</title>
<p>Strain DGL1 was used to inoculate Monkina medium plates and cultured at a constant temperature of 28&#xb0;C for 10&#xa0;d. The size of the phosphorus-solubilizing circle of strain DGL1 was determined and the phosphorus-solubilizing ability of the strain was initially determined by the ratio of the diameter of the phosphorus-solubilizing circle (D) to the diameter of the colony (d) (D/d).</p>
<p>The ability of the strain to detoxify phosphorus was determined using vanadium-molybdenum colorimetry. Strain DGL1 was used to inoculate LB liquid medium, incubated overnight at 28&#xb0;C, and centrifuged to collect the bacteria. The bacteria were diluted with sterile water to make a bacterial suspension, and 100 &#x3bc;L of DGL1 bacterial suspension was used to inoculate the fermentation medium, incubated for 3&#xa0;d (30&#xb0;C, 160 r/min), and centrifuged (12,000 g). Then, 1 mL of supernatant was added to 1 mL of sodium phytate solution at a concentration of 8.4 g/L. The OD<sub>415</sub> nm was measured after holding it at 37&#xb0;C for 30&#xa0;min (<xref ref-type="bibr" rid="B19">Mohamed et&#xa0;al., 2018</xref>).</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.3</label>
<title>Determination of the effect of DGL1 on physiological indicators of alfalfa seedlings under drought stress</title>
<sec id="s2_2_1">
<label>2.3.1</label>
<title>Alfalfa biomass</title>
<p>Alfalfa grass seeds with intact seed coats were selected and placed in a 20% sodium hypochlorite solution for 10&#xa0;min to sterilize the seeds. After rinsing with sterile water 5 times, the treated seeds (25 plants/pot) were sown in cavity pots (V<sub>nutrient soil</sub>: V<sub>natural soil</sub> = 2:1) and cultivated in a light incubator (25&#xb0;C, photoperiod 16 h/8&#xa0;h). When the plant height reached about 4&#xa0;cm, drought stress was simulated using 0, 5, 10, 15, 20, and 25% PEG-6000 (the corresponding water potential was 0, -0.05, -0.15, -0.30, -0.50and -0.77MPa, respectively) in a control (tap water, CK) and bacterial solution DGL1 treatment group (bacterial suspension DGL1 irrigated roots, DGL1) with three replications. After 45&#xa0;d of growth, plant samples were collected to determine plant height, fresh weight, root length, root volume, root surface area, root tip number, and root average diameter using the Root Analysis System.</p>
</sec>
<sec id="s2_2_2">
<label>2.3.2</label>
<title>Degree of peroxidation in alfalfa cell membrane systems</title>
<p>The H<sub>2</sub>O<sub>2</sub> content was determined using a CheKine&#x2122; Hydrogen Peroxide Assay Kit. Alfalfa leaves (0.1&#xa0;g) were added to 1 mL of pre-cooled assay buffer (1&#xd7;), ground thoroughly, and centrifuged at 12,000 g for 10&#xa0;min at 4&#xb0;C. The supernatant was collected as the sample to be tested. The procedure was performed according to the manufacturer&#x2019;s instructions, and the H<sub>2</sub>O<sub>2</sub> content was calculated.</p>
<p>The MDA content was determined using a Solarbio Malondialdehyde Content Detection Kit. Briefly, 0.1&#xa0;g of alfalfa leaves was added to 1 mL of extraction solution, ground thoroughly, and centrifuged at 8000&#xa0;g for 10&#xa0;min at 4&#xb0;C. The supernatant was placed on ice to be measured. The procedure was performed following the manufacturer&#x2019;s instructions, and the MDA content was calculated.</p>
</sec>
<sec id="s2_2_3">
<label>2.3.3</label>
<title>Alfalfa antioxidant enzyme activity</title>
<p>SOD activity was determined using a CheKine&#x2122; SOD Activity Assay Kit. Briefly, 0.1&#xa0;g of alfalfa leaves was added to 1 mL of pre-cooled 1&#xd7; lysis buffer and ground. After thorough grinding with a glass homogenizer, the sample was centrifuged for 5&#xa0;min at 12,000 g at 4&#xb0;C. The supernatant was collected as the sample to be tested. The procedure was performed according to the instruction manual, and the SOD content was calculated.</p>
<p>POD activity was determined using a CheKine&#x2122; POD Activity Assay Kit. The alfalfa leaves were washed with cold PBS. The water was removed, and the leaves were cut into pieces. A 0.1&#xa0;g leaf sample was added to 1 mL of pre-cooled extraction buffer and centrifuged at 8000&#xa0;g for 10&#xa0;min at 4&#xb0;C. The supernatant was collected for measurement. The procedure was performed following the manufacturer&#x2019;s instructions, and the POD content was calculated.</p>
<p>CAT activity was determined using a Solarbio CAT Activity Assay Kit. The ratio of the mass of fresh alfalfa tissue (g) to the volume of the extraction solution (mL) was 1:5&#x2013;10. The mixture was homogenized in an ice bath and centrifuged at 8000&#xa0;g for 10&#xa0;min at 4&#xb0;C. The supernatant was collected and placed on ice to be measured. The CAT content was determined according to the manufacturer&#x2019;s instructions and calculated.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.4</label>
<title>Determination of the soil amelioration effect of DGL1 under drought stress</title>
<sec id="s2_3_1">
<label>2.4.1</label>
<title>Soil quick-acting phosphorus</title>
<p>After treatment following section 2.3.1, 1.0&#xa0;g of air-dried soil was added to 50 mL of 0.5 mol/L NaHCO<sub>3</sub> solution, shaken for 30&#xa0;min, filtered, and aspirated. A volume of 10 mL of filtrate was added to 35 mL of distilled water and 5 mL of molybdenum-antimony reagent, shaken well, and left to stand for 30&#xa0;min. A blank group was used as the control, and a UV spectrophotometer was used to colorimetrically compare the results at a wavelength of 700 nm (<xref ref-type="bibr" rid="B4">Bian and Ma, 2018</xref>) and to plot the standard curve. The phosphorus content was calculated from the standard curve, and the quick-acting phosphorus content was calculated using the following formula:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>effective&#xa0;phosphorus&#xa0;content&#xa0;</mml:mtext>
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<mml:mfrac>
<mml:mrow>
<mml:mi>&#x3c1;</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>V</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>k</mml:mi>
</mml:mrow>
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</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>P</italic> is the concentration of phosphorus on the standard curve (&#x3bc;g/mL), V is the volume of the color-developing solution, t is the ratio of the total volume to the volume of the color-developing solution, and m is the mass of air-dried soil.</p>
</sec>
<sec id="s2_3_2">
<label>2.4.2</label>
<title>Soil quick-acting potassium</title>
<p>Soil quick potash was determined using the flame photometer method. NH<sub>4</sub>Ac extractant was mixed with soil at a ratio of 10:1, shaken, and leached for 30&#xa0;min. Dry filtration and the filtrate were used to determine the potassium content on a flame photometer (<xref ref-type="bibr" rid="B20">Moody and Bell, 2006</xref>).</p>
</sec>
<sec id="s2_3_3">
<label>2.4.3</label>
<title>Soil ammonium nitrogen and nitrate nitrogen</title>
<p>A 2.00&#xa0;g soil sample was placed in a 50 mL glass extraction flask, and 20 mL of 0.01 mol/L calcium chloride leachate was added, extracted by shaking for 60&#xa0;min, and dry filtered. To determine the ammonium nitrogen and nitrate nitrogen content, 5&#x2013;10 mL of filtrate was collected and used in an upper flow injection analyzer (<xref ref-type="bibr" rid="B9">Ghafoor et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_3_4">
<label>2.4.4</label>
<title>Data analysis</title>
<p>The data were statistically analyzed using the SPSS program. Mean values were estimated based on Duncan&#x2019;s test (<italic>P</italic>&lt; 0.05), and indicators were expressed as the mean &#xb1; standard deviation (x&#xb1; SD).</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.5</label>
<title>Determination of the effect of DGL1 on the metabolome of alfalfa under drought stress</title>
<sec id="s2_4_1">
<label>2.5.1</label>
<title>Interaction of alfalfa with DGL1 under drought stress</title>
<p>Grass seeds of alfalfa with intact seed coats were selected, sterilized, and sown in cavity pots (8&#xa0;cm in diameter &#xd7; 10&#xa0;cm in height) and placed in a light incubator (temperature 25&#xb0;C, photoperiod 16 h/8&#xa0;h), Alfalfa seedlings cultured for 30&#xa0;d were removed from cavity pots, and the roots were washed several times with sterile water. Filter paper was used to absorb the water from the roots, and they were divided into four groups: a: alfalfa roots completely immersed in sterile water (CK); b: alfalfa roots immersed in DGL1 bacterial suspension with a cell concentration of 1 &#xd7; 10<sup>6</sup> cfu&#xb7;mL<sup>&#x2212;1</sup> (DG); c: alfalfa roots immersed in 15% PEG-6000 solution as a drought-treated group; and d: alfalfa roots immersed in DGL1 and 15% PEG-6000 solution as a drought + strain DGL1 treatment group (DGd). After 4&#xa0;h of treatment, the leaves were rapidly cut off and frozen in liquid nitrogen as samples to be tested.</p>
</sec>
<sec id="s2_4_2">
<label>2.5.2</label>
<title>Sample preparation</title>
<p>Alfalfa leaf samples (1&#xa0;g) were collected from each of the four treatment groups in 2 mL centrifuge tubes, and grinding beads and extraction solution were added for metabolite extraction. The extract was ground for 6&#xa0;min in a frozen tissue grinder and sonicated for 30&#xa0;min at a low temperature. The samples were left at &#x2212;20&#xb0;C for 30&#xa0;min and centrifuged for 15&#xa0;min, and the supernatant was transferred to sample vials for LC-MS/MS analysis.</p>
</sec>
<sec id="s2_4_3">
<label>2.5.3</label>
<title>Data preprocessing and library searching</title>
<p>Raw data obtained after onboarding were imported into the metabolomics processing software Progenesis QI (Waters Corporation, Milford, USA) for baseline filtering, peak identification, integration, retention time correction, peak alignment, and generation of a data matrix of retention times, mass-to-charge ratios, and peak intensities.</p>
</sec>
<sec id="s2_4_4">
<label>2.5.4</label>
<title>Analysis of differential metabolites</title>
<p>Principal component analysis (PCA) and orthogonal least partial squares discriminant analysis (OPLS-DA) were performed on the data matrices using R software package ropls (Version 1.6.2) with Student&#x2019;s <italic>t</italic> test and multiplicity of difference analysis. Metabolites with VIP &gt; 1 and <italic>P</italic>&lt; 0.05 were identified as differential metabolites. Differential metabolites and metabolic pathways were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.6</label>
<title>DGL1 gene annotation analysis</title>
<p>The whole genome sequence of DGL1 was uploaded to NCBI under accession number CP05539. The bacterial genome sequence was rapidly annotated using Gene Ontology (GO), KEGG, and Clusters of Orthologous Groups of proteins (COG), and the corresponding annotation information was obtained.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and analysis</title>
<sec id="s3_1">
<label>3.1</label>
<title>Bioactivity of strain DGL1</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>EPS production capacity</title>
<p>Strain DGL1 was cultured on a special EPS medium, and obvious mucus rings appeared after 4&#xa0;h. The medium produced a large amount of mucus after 12&#xa0;h of incubation, and it was initially determined that strain DGL1 had EPS-producing activity (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). By analyzing the genome of strain DGL1 (accession number: CP05539), DGL1 was found to have extracellular polysaccharide synthesis-related coding genes, including the &#x3b1;-glucosidase-encoding gene <italic>malL</italic>, the &#x3b1;-galactosidase-encoding gene <italic>melA</italic>, the &#x3b1;-6-phosphoglucosidase-encoding gene <italic>bglA</italic>, the &#x3b2;-xylosidase-encoding gene <italic>xynD</italic>, the endocytosis of &#x3b2;-1,4-xylanase-encoding gene <italic>srfJ</italic>, and the chitosanase-encoding gene <italic>csn</italic>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Determination of DGL1 biological activity. <bold>(A)</bold> Determination of EPS-producing activity, the EPS medium produced a large amount of mucus after 12&#xa0;h of incubation; <bold>(B)</bold> Capacity of PGPR strains, obvious phosphorus-solubilizing circle was produced after 6&#xa0;d of incubation; <bold>(C)</bold> Growth of DGL1 in DF and ADF media, Strain DGL1 grew in DF basic medium with ACC as the sole nitrogen source.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g001.tif"/>
</fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Phosphorus-solubilizing ability</title>
<p>To determine the phosphorus-solubilizing ability of the strain, DGL1 was used to inoculate Monkina medium plates, and an obvious phosphorus-solubilizing circle was produced after 6&#xa0;d of incubation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The diameter of the phosphorus-solubilizing circle was 2.31&#xa0;cm, and the diameter of the colony was 1.13&#xa0;cm, with a ratio of 2.044. The phosphorus-solubilizing ability of the strain was quantified by vanadium and molybdenum colorimetry, and the standard curve was y = 0.7925x + 0.0071 (R<sup>2&#xa0;</sup>=&#xa0;0.9993). The amount of phosphorus solubilized by DGL1 was 44.47 &#xb1; 2.19 mg/L, indicating that DGL1 had a strong phosphorus-solubilizing capacity.</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>ACC deaminase-producing capacity</title>
<p>Strain DGL1 grew in DF basic medium with ACC as the sole nitrogen source, initially indicating that DGL1 possessed ACC deaminase activity (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). The ACC deaminase (ACCD) enzyme immunoassay kit was used for quantitative analysis, and the standard curve of ACC deaminase was measured as y = 0.0176x + 0.0056. Based on the absorbance, the ACC deaminase activity of DGL1 was 25.25 ng/L.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Effect of DGL1 on physiological indicators of alfalfa seedlings under drought stress</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Changes in alfalfa biomass</title>
<p>As the degree of drought stress increased, the plant height and fresh weight of alfalfa in the control group decreased. Significantly higher plant height and fresh weight were observed in the strain DGL1-treated group compared to the control group (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). In the 0, 5, 10, and 15% PEG treatments, the root length of alfalfa in the control group continued to increase, indicating that the low concentration of drought stress promoted the elongation and growth of the root system. The number of root tips, average diameter, root length, surface area, and volume of alfalfa increased in the strain DGL1 treatment group compared to the control group. DGL1 significantly increased the number of root tips of alfalfa by 87.51 and 78.79% under 5 and 10% PEG, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effect of strain DGL1 on the height and fresh weight of <italic>Medicago sativa</italic> under drought stress: <bold>(A)</bold> plant height; <bold>(B)</bold> plant fresh weight. CK (water-treated group) DGL1 (group in which the roots were irrigated with a mycorrhizal suspension of DGL1); horizontal coordinates indicate 0, 5, 10, 15, 20, and 25% PEG-6000 drought treatments, different letters denote significant differences (P&lt; 0.05) between various treatments based on one-way analysis of variance and Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Root morphology determination.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Number of root tips</th>
<th valign="top" align="center">Average diameter<break/>(mm)</th>
<th valign="top" align="center">Root length<break/>(cm)</th>
<th valign="top" align="center">Surface area<break/>(cm<sup>2</sup>)</th>
<th valign="top" align="center">Volumetric<break/>(cm<sup>3</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">CK</td>
<td valign="top" align="center">33.67 &#xb1; 3.21 bc</td>
<td valign="top" align="center">0.25 &#xb1; 0.023 a</td>
<td valign="top" align="center">35.36 &#xb1; 2.65 e</td>
<td valign="top" align="center">2.37 &#xb1; 0.15 cdef</td>
<td valign="top" align="center">0.02 &#xb1; 0.013 b</td>
</tr>
<tr>
<td valign="top" align="center">CK+DGL1</td>
<td valign="top" align="center">48.33 &#xb1; 2.52 abc</td>
<td valign="top" align="center">0.27 &#xb1; 0.08 a</td>
<td valign="top" align="center">36.36 &#xb1; 1.87 e</td>
<td valign="top" align="center">2.60 &#xb1; 0.48 cdef</td>
<td valign="top" align="center">0.02 &#xb1; 0.009 b</td>
</tr>
<tr>
<td valign="top" align="center">5% PEG 6000</td>
<td valign="top" align="center">37.33 &#xb1; 5.77 bc</td>
<td valign="top" align="center">0.29 &#xb1; 0.13 a</td>
<td valign="top" align="center">39.75 &#xb1; 0.78 de</td>
<td valign="top" align="center">3.77 &#xb1; 0.61 bc</td>
<td valign="top" align="center">0.03 &#xb1; 0.022 b</td>
</tr>
<tr>
<td valign="top" align="center">5% PEG 6000 +DGL1</td>
<td valign="top" align="center">70.00 &#xb1; 8.19 a</td>
<td valign="top" align="center">0.37 &#xb1; 0.10 a</td>
<td valign="top" align="center">57.10 &#xb1; 7.30 a</td>
<td valign="top" align="center">6.42 &#xb1; 1.26 a</td>
<td valign="top" align="center">0.10 &#xb1; 0.014 a</td>
</tr>
<tr>
<td valign="top" align="center">10% PEG 6000</td>
<td valign="top" align="center">38.00 &#xb1; 3.00 bc</td>
<td valign="top" align="center">0.32 &#xb1; 0.08 a</td>
<td valign="top" align="center">44.82 &#xb1; 4.60 cd</td>
<td valign="top" align="center">3.66 &#xb1; 0.21 bcd</td>
<td valign="top" align="center">0.04 &#xb1; 0.015 b</td>
</tr>
<tr>
<td valign="top" align="center">10% PEG 6000+DGL1</td>
<td valign="top" align="center">67.67 &#xb1; 2.08 a</td>
<td valign="top" align="center">0.33 &#xb1; 0.13 a</td>
<td valign="top" align="center">48.27 &#xb1; 4.53 bc</td>
<td valign="top" align="center">4.58 &#xb1; 1.66 b</td>
<td valign="top" align="center">0.05 &#xb1; 0.044 ab</td>
</tr>
<tr>
<td valign="top" align="center">15% PEG 6000</td>
<td valign="top" align="center">58.33 &#xb1; 6.43 ab</td>
<td valign="top" align="center">0.33 &#xb1; 0.13 a</td>
<td valign="top" align="center">45.53 &#xb1; 2.66 bcd</td>
<td valign="top" align="center">2.89 &#xb1; 1.04 cdef</td>
<td valign="top" align="center">0.05 &#xb1; 0.049 ab</td>
</tr>
<tr>
<td valign="top" align="center">15% PEG 6000+DGL1</td>
<td valign="top" align="center">68.00 &#xb1; 14.51 a</td>
<td valign="top" align="center">0.36 &#xb1; 0.15 a</td>
<td valign="top" align="center">52.16 &#xb1; 0.54 ab</td>
<td valign="top" align="center">3.84 &#xb1; 0.61 bc</td>
<td valign="top" align="center">0.05 &#xb1; 0.035 ab</td>
</tr>
<tr>
<td valign="top" align="center">20% PEG 6000</td>
<td valign="top" align="center">30.00 &#xb1; 14.80 bc</td>
<td valign="top" align="center">0.31 &#xb1; 0.09 a</td>
<td valign="top" align="center">19.71 &#xb1; 2.56 fg</td>
<td valign="top" align="center">1.89 &#xb1; 0.67 ef</td>
<td valign="top" align="center">0.02 &#xb1; 0.023 b</td>
</tr>
<tr>
<td valign="top" align="center">20% PEG 6000+DGL1</td>
<td valign="top" align="center">57.00 &#xb1; 18.00 ab</td>
<td valign="top" align="center">0.33 &#xb1; 0.14 a</td>
<td valign="top" align="center">24.42 &#xb1; 3.88 f</td>
<td valign="top" align="center">2.03 &#xb1; 0.88 def</td>
<td valign="top" align="center">0.03 &#xb1; 0.006 b</td>
</tr>
<tr>
<td valign="top" align="center">25% PEG 6000</td>
<td valign="top" align="center">23.00 &#xb1; 7.00 c</td>
<td valign="top" align="center">0.22 &#xb1; 0.07 a</td>
<td valign="top" align="center">14.89 &#xb1; 3.53 g</td>
<td valign="top" align="center">1.03 &#xb1; 0.78 f</td>
<td valign="top" align="center">0.01 &#xb1; 0.006 b</td>
</tr>
<tr>
<td valign="top" align="center">25% PEG 6000 +DGL1</td>
<td valign="top" align="center">47.67 &#xb1; 9.50 abc</td>
<td valign="top" align="center">0.32 &#xb1; 0.04 a</td>
<td valign="top" align="center">18.84 &#xb1; 2.39fg</td>
<td valign="top" align="center">2.23 &#xb1; 0.17 cdef</td>
<td valign="top" align="center">0.02 &#xb1; 0.005 b</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were statistically analyzed using the SPSS program. Mean values were estimated based on Duncan&#x2019;s test (<italic>P</italic>&lt; 0.05), and indicators are expressed as the mean &#xb1; standard deviation (x&#xb1; SD).</p>
<p>Different letters indicate a significant difference (<italic>p</italic> &lt; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Degree of peroxidation of alfalfa cell membranes</title>
<p>With the increase in drought stress intensity, the MDA content of alfalfa leaves in the control group showed a gradual increase and reached its maximum value at a stress intensity of 25% PEG. The MDA content of the strain DGL1 treatment group was lower than that of the control group. Under 15 and 25% PEG stress, the MDA content of the strain DGL1 treatment group significantly decreased compared to the control group. Under 5, 10, 15, 20, and 25% PEG treatments, the MDA content of inoculated DGL1 alfalfa was reduced by 9.09, 9.14, 26.52, 13.13, and 23.24%, respectively, compared to the control, indicating that DGL1 attenuated the oxidative damage caused by membrane lipid peroxidation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Degree of cell membrane peroxidation. <bold>(A)</bold> MDA; <bold>(B)</bold> H<sub>2</sub>O<sub>2</sub> content. Different letters denote significant differences (P&lt; 0.05) between various treatments based on one-way analysis of variance and Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g003.tif"/>
</fig>
<p>With the increase in stress intensity, the H<sub>2</sub>O<sub>2</sub> content of alfalfa leaves in the control group showed a gradual upward trend. With a stress intensity of 25% PEG, the H<sub>2</sub>O<sub>2</sub> content reached the maximum value, and the H<sub>2</sub>O<sub>2</sub> content of the strain DGL1 treatment group was lower than that of the control group. Under normal water application, the H<sub>2</sub>O<sub>2</sub> content of the strain DGL1 treatment group was lower than that of the control group, but the difference was not significant. The H<sub>2</sub>O<sub>2</sub> content was reduced from 891.49 to 769.18 nmol/g, a decrease of 13.72%. Under 5, 10, 15, 20, and 25% PEG stress, the H<sub>2</sub>O<sub>2</sub> content of the strain DGL1-treated group was significantly reduced compared with the control group, with decreases of 32.43, 49.16, 50.02, 57.76, and 59.15%, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Changes in antioxidant enzyme activities of alfalfa</title>
<p>SOD is responsible for scavenging intracellular superoxide anion radicals. With the increase in stress intensity, the SOD content of alfalfa leaves in the control group was highest at a stress intensity of 15% PEG, and the SOD content of the strain DGL1 treatment group was higher than that of the control group. Under 0, 5, 10, 15, 20, and 25% PEG treatments, the SOD content increased by 15.08, 104.16, 134.37, 84.02, 159.53, and 112.75%, respectively, compared with the control (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Changes in antioxidant enzyme activity. <bold>(A)</bold> SOD content; <bold>(B)</bold> POD content; <bold>(C)</bold> CAT content. Different letters denote significant differences (P&lt; 0.05) between various treatments based on one-way analysis of variance and Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g004.tif"/>
</fig>
<p>POD is an important oxidative enzyme class that scavenges H<sub>2</sub>O<sub>2</sub> from plant cells. With the increase in stress intensity, the control alfalfa leaves reached the maximum value under a stress intensity of 20% PEG. Under different stress intensity conditions, the POD content of the strain DGL1 treatment group was higher than that of the control group. Under 0, 5, 10, 15, 20, and 25% PEG treatments, the POD content of the strain DGL1 treatment group was significantly higher than that of the control group by 69.05, 204.47, 626.33, 40.00, 217.14, and 63.64%, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<p>CAT is an important oxidative enzyme class for scavenging H<sub>2</sub>O<sub>2</sub> in plant cells. With the increase in stress intensity, the CAT content of alfalfa leaves in the control group showed a tendency to increase and then decrease, reaching the maximum value in the 20% PEG group. The CAT activity of the strain DGL1-treated group was higher than that of the control group, and under 5, 10, 15, 20, and 25% PEG treatments, the CAT content increased by 62.26, 24.46, 50.98, 31.68, and 21.21%, respectively, compared with the control (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Effect of DGL1 on soil amelioration under drought stress</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Soil quick-acting phosphorus</title>
<p>Under different drought stress treatments, DGL1 significantly increased the content of soil quick-acting phosphorus. Under normal water application conditions, the content of quick-acting phosphorus increased from 75.00 to 88.25 mg/kg after applying DGL1, an increase of 17.67%. Under 5, 10, 15, 20, and 25% drought stress treatments with PEG-6000, the content of quick-acting phosphorus increased by 7.11, 8.45, 21.46, 7.93, and 10.21%, respectively, compared to the control (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Based on the genome of strain DGL1, like most bacteria in the soil, the phosphate special transport system (Pst) of strain DGL1 consisted of four proteins, PstS, PstA, PstB, and PstC, and the bacteria mainly accomplished the uptake and utilization of Pi&#xa0;under low phosphorus stress using the Pst system. The Pst system affects bacterial phosphatase activity, accelerates the decomposition of phosphate in the environment, promotes phosphorus release, and improves phosphorus utilization in alfalfa (<xref ref-type="bibr" rid="B18">Mart&#xed;n and Liras, 2021</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Effect of DGL1 on soil amelioration under drought stress. <bold>(A)</bold> Soli available phosphorus content; <bold>(B)</bold> Soil quick-acting potassium content; <bold>(C)</bold> Soil nitrate nitrogen content; <bold>(D)</bold> Soil ammonium nitrogen content. Different letters denote significant differences (P&lt; 0.05) between various treatments based on one-way analysis of variance and Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g005.tif"/>
</fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Quick-acting potassium in soil</title>
<p>Under drought stress, the quick-acting potassium content of the DGL1 treatment group was lower than that of the control group, and only 15 and 25% PEG treatments showed a significant decrease in quick-acting potassium content compared with that of the control group. Under normal water application, the quick-acting potassium content increased from 405.34 to 412.22 mg/kg, which was an increase of 1.70%. Under the 5, 10, 15, 20, and 25% PEG-6000 drought stress treatments, the quick-acting potassium content was reduced by 5.12, 3.87, 6.37, 2.74, and 9.56%, respectively, compared to the control (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Strain DGL1 reduced the content of quick-acting potassium in the soil. It was presumed that strain DGL1 activated the alfalfa potassium ion channels, promoted the absorption and utilization of potassium ions in the soil, and regulated cell membrane permeability as a means of maintaining the plant&#x2019;s osmotic pressure. Therefore, the content of quick-acting potassium in the soil was reduced compared to that of the control.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Soil ammonium nitrogen and nitrate nitrogen</title>
<p>
<italic>Bacillus</italic> has nitrogen-fixing enzymes that can fix atmospheric nitrogen into ionic form, promote plant growth, and increase the soil nitrogen fertilizer content. Under different drought stress treatments, DGL1 significantly increased the soil nitrate&#x2013;nitrogen content. Under normal water application conditions, the nitrate nitrogen content increased from 16.25 to 34.04 mg/kg, an increase of 109.48%. Under 5, 10, 15, 20, and 25% PEG drought stress treatments, the nitrate nitrogen content increased by 27.94, 33.68, 209.20, 38.37, and 106.97%, respectively, compared to the control (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Under different drought stress treatments, DGL1 significantly increased the soil ammonium nitrogen content, except with the 15% PEG treatment, which increased by 16.45% from 4.68 to 5.45 mg/kg under normal water application conditions. Under 5, 10, 15, 20, and 25% PEG drought stress treatments, the ammonium nitrogen content increased by 174.29, 36.15, 2.86, 22.91, and 92.31% (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Effect of DGL1 on the metabolome of alfalfa under drought stress</title>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>PCA analysis</title>
<p>PCA reflects the overall metabolic differences among alfalfa samples. In this experiment, the PCA results showed that the total cumulative contributions were 54.1, 74.1, and 74.1% for the first component and 54.1, 74.5, and 68.7% for the second component in the three comparison groups &#x201c;CK vs d&#x201d;, &#x201c;CK vs DG&#x201d;, and &#x201c;d vs DGd&#x201d;, respectively, indicating significant differences in metabolite changes between drought-stressed strain DGL1-treated alfalfa and the control (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A&#x2013;C</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Principal component analysis (PCA) and OPLS-DA analysis. <bold>(A&#x2013;C)</bold> PCA analyses of CK vs d, CK vs DG, and d vs DGd, respectively; <bold>(D&#x2013;F)</bold> OPLS-DA analyses of CK vs d, CK vs DG, and d vs DGd, respectively. The distances of each coordinate point in the PCA plot represent the degree of aggregation and disaggregation among samples. The closer the distances, the greater the similarity among samples, and the further the distances, the greater the dissimilarity among samples. The greater the degree of separation between the two groups of samples in the OPLS-DA plot, the more significant the classification effect.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g006.tif"/>
</fig>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Orthogonal partial least squares discriminant analysis</title>
<p>OPLS-DA filters out information that is not relevant to classification and accurately analyzes differences between groups. The mass spectrometry data obtained were analyzed by OPLS-DA, and the three comparison groups of &#x201c;CK vs d&#x201d;, &#x201c;DG vs CK&#x201d;, and &#x201c;d vs DGd&#x201d; samples were distributed in different quadrants of the confidence intervals, with obvious differentiation effects, which indicated that there were significant differences between the comparison groups (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6D&#x2013;F</bold>
</xref>). Its model quality parameters were as follows for the three principal components: Q<sub>2&#xa0;=&#xa0;</sub>0.959, R<sub>2</sub>X = 0.822, and R<sub>2</sub>Y = 0.988 for the cumulative prediction rate of the model d vs CK; Q<sub>2&#xa0;=&#xa0;</sub>0.716, R<sub>2</sub>X = 0.54, and R<sub>2</sub>Y = 0.994 for the cumulative prediction rate of the model DG vs CK; Q<sub>2&#xa0;=&#xa0;</sub>0.782, R<sub>2</sub>X = 0.696, and R<sub>2</sub>Y = 0.997 for the cumulative prediction rate of the model d vs DGd. Q<sub>2</sub> values &gt; 0.5 for each group indicate that the model has good predictive ability.</p>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Analysis of differential metabolites between groups</title>
<p>Metabolomics analysis revealed that 126 metabolites were changed in strain DGL1-treated alfalfa compared with the control group (DG vs CK). In positive ion mode, there were 64 differential metabolites, of which 27 were upregulated and 37 were downregulated. In negative ion mode, there were 62 differential metabolites, of which 35 were upregulated and 27 were downregulated (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). A total of 326 metabolites were altered in alfalfa under drought stress compared with the control (d vs CK), including 148 differential metabolites in positive ion mode (46 upregulated and 102 downregulated) and 178 differential metabolites in negative ion mode (108 upregulated and 70 downregulated) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). A total of 442 metabolites were altered in alfalfa treated with strain DGL1 under drought stress compared with the drought stress-treated group (DGd vs d). In positive ion mode, there were 245 differential metabolites, of which 187 were upregulated and 58 were downregulated; in negative ion mode, there were 197 differential metabolites, of which 80 were upregulated and 117 were downregulated (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). Analysis of the data revealed that the differential metabolites were mainly dominated by amino acids and their derivatives and lipids.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Volcano plot of differential metabolites. The horizontal coordinate is the value of log<sub>2</sub>FC for the fold change of the difference in metabolite expression between the two groups, and the vertical coordinate is the value of the statistical test for the difference in the change in metabolite expression &#x2212;log10 (<italic>P</italic> value), with higher values indicating more significant differences in expression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g007.tif"/>
</fig>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>KEGG analysis of differential metabolites</title>
<p>Enrichment analysis of differential metabolites was performed with default settings using the BH method to correct for <italic>P</italic> values, and when the corrected <italic>P</italic> value was&lt; 0.05, the pathway was considered to be significantly enriched. Differential metabolites were significantly enriched in nucleotide metabolism, purine metabolism, D-amino acid metabolism, ABC transporter proteins, tropane, piperidine, and pyridine alkaloid biosynthesis, amino acid and nucleotide metabolism, glycerophospholipid metabolism, tyrosine metabolism, caffeine metabolism, and biosynthesis of valine, leucine, and isoleucine in the strain DGL1-treated alfalfa group compared to the control group (DG vs. CK) (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8A</bold>
</xref>). Differential metabolites were significantly enriched in purine metabolism, nucleotide metabolism, D-amino acid metabolism, alpha-linolenic acid metabolism, cyanoamino acid metabolism, ABC transporter proteins, biosynthesis of phenylalanine, tyrosine, and tryptophan, phytohormone signaling, monobactam biosynthesis, biosynthesis of penicillin and cephalosporin, phenylalanine metabolism, and biosynthesis of various plant secondary metabolites compared to the control group under drought stress in alfalfa (d vs CK) (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8B</bold>
</xref>). Differential metabolites were significantly enriched in cyanoamino acid metabolism, alanine, aspartate, and glutamate metabolism, pantothenic acid and coenzyme A biosynthesis, arginine and proline metabolism, histidine metabolism, &#x3b2;-alanine metabolism, aminotransferase-tRNA biosynthesis, D-alanine metabolism, ABC transporter proteins, arginine biosynthesis, taurine, and hypotaurine metabolism in alfalfa treated with strain DGL1 under drought stress compared to the drought stress treatment group (DGd vs d) (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8C</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>KEGG enrichment map of differential metabolites. <bold>(A&#x2013;C)</bold> are d vs CK, DG vs CK, and DGd vs d, respectively. The horizontal coordinate is the KEGG pathway, and the vertical coordinate is the statistical test value of the difference in metabolite expression change &#x2212;log10 (p-value) value. The higher the value, the more significant the difference , and Pvalue &lt; 0.001 is labeled ***, Pvalue &lt; 0.01 is labeled **, and Pvalue &lt; 0.05 is labeled *.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g008.tif"/>
</fig>
</sec>
<sec id="s3_4_5">
<label>3.4.5</label>
<title>Comparison of GC-TOF-MS non-targeted differential metabolites between samples</title>
<p>GC-MS analysis showed that strain DGL1 treatment resulted in significant differences in metabolites in alfalfa compared with the control (DG vs CK). The differential metabolites in alfalfa plant tissues were mainly dominated by organic acids and derivatives, lipids and lipid-like molecules, organic heterocyclic compounds, organo-oxygenated compounds, and phenylpropanoid and polyketide metabolites. In the organic acid group, metabolites of histidine, isoleucine, phenylalanine, citrulline, tyrosine, ornithine, glutamate, and gluconic acid were significantly increased in the alfalfa leaves after DGL1 application.</p>
<p>Differential metabolites in the alfalfa drought stress treatment group compared to the control (d vs CK) were mainly categorized as metabolites of lipids and lipid-like molecules, organic acids and their extensions, organic heterocyclic compounds, organic oxides, phenylpropanoids, and polyketides. In the group of lipids and lipid-like molecules, the metabolites of isopropyl glycol, cinnamon glucoside, and 3-nonenol acetate were significantly downregulated, and significant downregulation of histidine related to organic nitrogen compounds, lignans, neo-lignans, and related compounds occurred. Differential metabolites were significantly enriched in lipids and lipid-like molecules, organic acids and their derivatives, organic heterocyclic compounds, organic oxygen compounds, phenylpropanoids, and polyketides, and benzene compound-related metabolites in the alfalfa treatment group under drought stress when DGL1 was applied compared to the drought stress treatment group (DGd vs d). The sugar metabolites of alfalfa treated with DGL1 under drought stress underwent differential changes. Polysaccharides, including alginate, sucrose, and gentianose, increased after DGL1 induction, and the amino acids arginine, leucine, glutamic acid, and tyrosine also increased significantly (<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>Heat map of metabolite enrichment. The left side is the dendrogram of metabolite clustering, and the right side is the name of the metabolites. The closer the two metabolite branches, the closer their expression. The upper side is the dendrogram of sample clustering, and the lower side is the name of the samples. The closer the two sample branches, the closer the expression patterns of all metabolites of the two samples, i.e., the closer the change trend of metabolite expression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g009.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Plants subjected to a certain degree of drought stress can have metabolic disorders that adversely affect plant morphology and physiology. <italic>Bacillus</italic> has been reported to enhance plant tolerance through several pathways, such as producing ACC deaminase and extracellular polysaccharide EPS, increasing plant antioxidant enzyme activity, and improving soil physicochemical properties, thus increasing the biomass of the plant under stress (<xref ref-type="bibr" rid="B8">Gagn&#xe9;-Bourque et&#xa0;al., 2016</xref>). <italic>Bacillus subtilis</italic> B26 can successfully colonize the internal tissues of <italic>Phleum pratense</italic> under drought stress, resulting in a significant increase in aboveground and root biomass by 26.6 and 63.8%, respectively, and positively affecting plant growth and development compared to non-inoculated plants (<xref ref-type="bibr" rid="B16">Li and Wang, 2002</xref>). In this study, the effect of DGL1 on the growth of alfalfa under drought stress was determined, and strain DGL1 significantly increased the root length and fresh weight, number of root tips, average diameter, root length, surface area, and volume of alfalfa, indicating that strain DGL1 promoted alfalfa growth under drought stress at all stress intensities.</p>
<p>SOD, POD, and CAT are protective enzymes present in different locations of plant cells that synergistically scavenge reactive oxygen species and other peroxide radicals from the organism and mitigate damage to biomolecules, such as nucleic acids, proteins, and lipids (<xref ref-type="bibr" rid="B14">Jiaying et&#xa0;al., 2022</xref>). In this study, the H<sub>2</sub>O<sub>2</sub> and MDA content increased with the enhancement of drought stress in alfalfa, indicating that drought stress causes different degrees of damage to the cell membrane system of alfalfa. Inoculation with DGL1 under drought stress resulted in a significant decrease in the MDA and H<sub>2</sub>O<sub>2</sub> content and a significant increase in the activities of antioxidant enzymes SOD and POD in alfalfa. This suggests that DGL1 can reduce the degree of membrane lipid peroxidation in alfalfa, scavenge free oxygen radicals, and improve the redox stabilization state of plants, which, in turn, improves the adaptability of alfalfa to drought.</p>
<p>Phosphorus plays an important role in plant growth, development, and metabolism, while most phosphorus in the soil exists in the form of insoluble phosphate, which is difficult for plants to absorb directly and utilize (<xref ref-type="bibr" rid="B15">Kettenburg et&#xa0;al., 2023</xref>). Phosphorus-solubilizing <italic>Bacillus</italic> can convert phosphate into soluble phosphorus and promote soil phosphorus availability (<xref ref-type="bibr" rid="B33">Wang et&#xa0;al., 2022</xref>). In this study, strain DGL1 was found to have a phosphorus-solubilizing circle, and the amount of phosphorus solubilized by DGL1 was 44.47 &#xb1; 2.19 mg/L as determined by the vanadium-molybdenum colorimetric method. This indicates that strain DGL1 has a strong ability to solubilize phosphorus. Bacteria accomplish the uptake and utilization of inorganic phosphate mainly through the Pst system. Genomic analysis revealed that the Pst system of strain DGL1 consisted of four proteins, PstS, PstA, PstB, and PstC, which have been reported to accelerate the decomposition of phosphorus-containing organic compounds in the environment by influencing the activity of phosphatase, promoting the release of phosphorus, and increasing the utilization of phosphorus by plants (<xref ref-type="bibr" rid="B23">Qi et&#xa0;al., 1997</xref>). In this experiment, the content of quick-acting phosphorus in soil treated with DGL1 was significantly higher. Therefore, DGL1 increased the content of effective phosphorus in the soil under drought and promoted the uptake and utilization of phosphorus by the plant under drought stress, thus enhancing the drought tolerance of alfalfa.</p>
<p>The genus <italic>Bacillus</italic>, with its diverse physiological characteristics, produces a variety of antimicrobial agents and enzymes, as well as the enzyme ACC deaminase, which can degrade the synthetic precursor of ethylene, ACC, into &#x3b1;-Ketobutyric acid and ammonia. It not only reduces the accumulation of ethylene in plants under stress but also provides a nitrogen source for the host plant, which enhances the drought tolerance of plants, such as <italic>Zea mays</italic>, <italic>Pisum sativum</italic>, and <italic>Triticum aestivum</italic>, and mitigates drought damage to plants (<xref ref-type="bibr" rid="B36">Zahir et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Yuan et&#xa0;al., 2023</xref>). In this study, strain DGL1 was found to have ACC deaminase-producing activity, and the deaminase activity was 25.25 ng/L. Therefore, it was hypothesized that strain DGL1 promoted drought tolerance in alfalfa by secreting ACC deaminase. Some bacteria can maintain a stable combination of soil and water by producing EPS, which increases the soil water content and water utilization by plants (<xref ref-type="bibr" rid="B32">Vob&#x11b;rkov&#xe1; et&#xa0;al., 2016</xref>). Strain DGL1 was found to have EPS-producing activity, and genome analysis revealed that it contained <italic>malL</italic>, <italic>melA</italic>, <italic>bglA</italic>, <italic>xynD</italic>, <italic>srfJ</italic>, <italic>csn</italic>, and other genes related to EPS synthesis. Thus, strain DGL1 may increase the water content of the soil through EPS and improve the alfalfa yield under drought stress.</p>
<p>OPLS-DA analysis showed that the Q2 value of each metabolic group was &gt; 0.5, indicating that the predictive ability of the model was good and could be used for subsequent analysis. Lipids are not only components of biological membranes but also play important roles in signal transduction, energy supply, and stress response. Plants can respond to adversity stress by altering the content and composition of lipids and lipid-like substances. Changes in the content of substances in the membrane lipids of <italic>Armeniaca vulgaris</italic> leaves in response to drought stress have been reported, with a decrease in the linolenic acid content and an increase in the stearic, oleic, and linoleic acid content in response to drought stress (<xref ref-type="bibr" rid="B22">Ping and Rui et&#xa0;al., 2002</xref>). Using metabolomic analysis, strain DGL1 treatment was shown to result in the production of organic acids and derivatives, lipids and lipid-like molecules, organic heterocyclic compounds, organic oxides, benzene-related metabolites, phenylpropanes, and polyketide metabolites in alfalfa. Among the three comparison groups, the highest percentage of lipid and lipidoid content was detected in the leaves of alfalfa, with significant differential changes in the content of lipids and lipidoids in the strain DGL1-treated group (DG) and the strain DGL1+drought stress group (DGd), suggesting that alfalfa lipids and lipidoids may play a role in plant resilience under DGL1 treatment. Benzene compounds are a specific class of aromatic metabolites, most of which are present in plants as volatile organic compounds (VOCs), and VOCs can withstand harsh environments and participate in direct and indirect plant defense (<xref ref-type="bibr" rid="B5">Brosset et&#xa0;al., 2022</xref>). We found that the content of polysaccharides, including trehalose, sucrose, and gentianose, was also significantly upregulated under drought with the application of DGL1. Trehalose, as an osmotic regulator, effectively maintains biofilm stability and intracellular active substances under stress conditions and improves a plant&#x2019;s ability to tolerate abiotic stress, such as drought. Sucrose is a product of plant photosynthesis, providing energy and carbon sources for plant growth and metabolism, and it is also an important signaling regulator of gene expression (<xref ref-type="bibr" rid="B31">Tong et&#xa0;al., 2022</xref>). Amino acids, as the basic components of proteins, not only play a role in a variety of physiological functions in various stages of plant growth and development but are also key components involved in the synthesis of secondary metabolites related to plant defense against adversity stress (<xref ref-type="bibr" rid="B7">Dinkeloo et&#xa0;al., 2018</xref>). For example, tyrosine and proline can improve drought tolerance in plants, arginine can enhance root system development, and phenylalanine can promote lignin synthesis, which in turn can help the plant achieve a high yield (<xref ref-type="bibr" rid="B30">Tegeder, 2012</xref>). In this study, the content of arginine, leucine, glutamic acid, and tyrosine showed an upregulation trend under drought stress in the DGL1-applied group compared with the drought group. Similarly, histidine, isoleucine, phenylalanine, citrulline, tyrosine, ornithine, and glutamic acid showed an upregulation trend in the DGL1-applied group compared with the control group. DGL1 may affect the processes of amino acid metabolism, polysaccharide metabolism, and lipid metabolism in alfalfa, enhancing the capacity of the plant to resist drought stress. <italic>Bacillus</italic> can not only directly promote plant growth but also improve the soil rhizosphere microecological environment and soil fertility, thus indirectly promoting plant growth (<xref ref-type="bibr" rid="B34">Wang et&#xa0;al., 2020</xref>). Irrigating the root system of alfalfa with DGL1 increased the content of quick-acting phosphorus, quick-acting potassium, ammonium nitrogen, and nitrate nitrogen in the soil under drought stress, thus suggesting that DGL1 has a better&#xa0;ameliorating effect on the soil and increases the uptake of nitrogen, phosphorus, and potassium by alfalfa under drought stress.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In this study, it was found that DGL1 promoted the biomass of alfalfa under drought stress, significantly increased the activities of antioxidant enzymes SOD, POD, and CAT, and decreased the MDA and H<sub>2</sub>O<sub>2</sub> content in alfalfa under drought stress compared with the control group. DGL1 improved the adaptability of alfalfa to drought through ACC deaminase and EPS production and increased the content of quick-acting phosphorus, quick-acting potassium, ammonium nitrogen, and nitrate nitrogen in soil under drought stress, suggesting that DGL1 has an obvious ameliorating effect on the soil. Through metabolomics analysis, DGL1 was shown to affect amino acid metabolic pathways, such as arginine, leucine, glutamate, and tyrosine, as well as the levels of energy-providing polysaccharides and lipids, in alfalfa under drought stress. Thus, strain DGL1 integrated several factors to enhance the drought suitability of alpine forage alfalfa, demonstrating the potential of DGL1 for the development of microbial preparations for use in dry zones (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>).</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Effect of alfalfa inoculation with DGL1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1378707-g010.tif"/>
</fig>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XY: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YX: Funding acquisition, Project administration, Resources, Writing &#x2013; review &amp; editing. YQ: Resources, Writing &#x2013; review &amp; editing. FC: Supervision, Writing &#x2013; review &amp; editing. TW: Supervision, Writing &#x2013; review &amp; editing. JL: Supervision, Writing &#x2013; review &amp; editing. LW: Supervision, Writing &#x2013; review &amp; editing. CL: Supervision, Writing &#x2013; review &amp; editing. YG: Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Qinghai Provincial Science and Technology Department Special Projects, grant number 2023-ZJ-709 and&#xa0;National Natural Science Foundation of China, grant number 32160030.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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