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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.2025.1617625</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>Functional analysis of <italic>StWRKY75</italic> gene in response to heat stress in potato (<italic>Solanum tuberosum</italic> L.)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Xi</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>
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<contrib contrib-type="author">
<name>
<surname>Duan</surname>
<given-names>Xiaoqin</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Majeed</surname>
<given-names>Yasir</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<name>
<surname>Luo</surname>
<given-names>Junfu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Nengkang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Haifei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Zou</surname>
<given-names>Huafen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jin</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Yu</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>
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<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture and Rural Affairs, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences</institution>, <addr-line>Zhanjiang, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences</institution>, <addr-line>Zhanjiang, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>National Key Laboratory for Tropical Crop Breeding, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences</institution>, <addr-line>Sanya</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>State Key Laboratory of Aridland Crop Science, Gansu Agricultural University</institution>, <addr-line>Lanzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>College of Agronomy, Gansu Agricultural University</institution>, <addr-line>Lanzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>College of Tropical Crops, Yunnan Agricultural University</institution>, <addr-line>Pu&#x2019;er</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yi Wang, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Haiyang Chen, Henan Agricultural University, China</p>
<p>Haijiao Dong, Chinese Academy of Agricultural Sciences (CAAS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yasir Majeed, <email xlink:href="mailto:yasirmajeed5453@gmail.com">yasirmajeed5453@gmail.com</email>; Hui Jin, <email xlink:href="mailto:jinh@catas.cn">jinh@catas.cn</email>; Yu Zhang, <email xlink:href="mailto:zhangyu@catas.cn">zhangyu@catas.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1617625</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhu, Duan, Majeed, Luo, Guan, Zheng, Zou, Jin, Chen and Zhang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhu, Duan, Majeed, Luo, Guan, Zheng, Zou, Jin, Chen and Zhang</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>Heat stress severely restricts potato tuber growth and development, yet the roles of WRKY transcription factors (TFs) in mediating heat responses remain poorly understood. Using quantitative reverse transcription PCR (qRT-PCR), we identified <italic>StWRKY75</italic> in potato cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019; as a heat-inducible gene, showing significant upregulation under 30&#xb0;C and 35&#xb0;C treatments. Phylogenetic analysis classified <italic>StWRKY75</italic> into the WRKY Group II family, with close evolutionary homology to tomato <italic>SlWRKY75</italic>, and subcellular localization confirmed its nuclear targeting. To characterize its function, we generated transgenic lines overexpressing <italic>StWRKY75</italic> (OE) or knockdown by RNA interference (RNAi). Under heat stress conditions, OE plants demonstrated superior thermotolerance compared to non-transgenic (NT) controls, manifested by improved growth parameters (plant height, tuber weight per plant, fresh weight, dry weight, root fresh weight, and root dry weight), enhanced activities of antioxidant enzymes (ascorbate peroxidase [APX], catalase [CAT], peroxidase [POD], and superoxide dismutase [SOD]), increased proline accumulation, elevated photosynthetic efficiency, and reduced malondialdehyde (MDA) content. Conversely, RNAi lines exhibited compromised thermotolerance with reversed growth parameters and biochemical characteristics. qRT-PCR analysis revealed that <italic>StWRKY75</italic> positively regulated key heat-stress responsive genes, including those encoding antioxidant enzymes (<italic>StAPX, StCAT, StSOD, StPOD</italic>), proline biosynthesis Pyrroline-5-carboxylate synthase (<italic>StP5CS</italic>), and heat shock proteins (<italic>StHSP20, StHSP70, StHSP90</italic>). These findings demonstrate that <italic>StWRKY75</italic> acts as a positive regulator of potato thermotolerance by enhancing growth, antioxidant capacity, proline metabolism, photosynthesis, and heat-responsive gene expression, providing a valuable target for improving crop heat resilience in breeding programs.</p>
</abstract>
<kwd-group>
<kwd>
<italic>StWRKY75</italic>
</kwd>
<kwd>
<italic>Solanum tuberosum</italic>
</kwd>
<kwd>heat stress</kwd>
<kwd>transgenic</kwd>
<kwd>photosynthetic efficiency</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="20"/>
<word-count count="10106"/>
</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>Potatoes (<italic>Solanum tuberosum</italic> L.), a critical component of global food systems, serve as a multifaceted solution to address food security challenges exacerbated by climate change and population growth (<xref ref-type="bibr" rid="B11">Devaux et&#xa0;al., 2020</xref>). As the fourth most widely cultivated crop worldwide, following rice, wheat, and maize, potatoes offer exceptional nutritional value, high yield potential, and adaptability across diverse agro-ecologies (<xref ref-type="bibr" rid="B1">Adekanmbi et&#xa0;al., 2024</xref>). Hailed as a &#x201c;climate-smart&#x201d; staple, their resilience to marginal soils and suboptimal climates positions them as a strategic choice for enhancing global food security and nutrition (<xref ref-type="bibr" rid="B30">Kumar et&#xa0;al., 2021</xref>). However, exposure to temperatures exceeding 30&#xb0;C detrimentally impacts potato growth and yield, causing tuber discoloration, impaired starch accumulation, disrupted dormancy, and premature sprouting, consequences directly linked to global warming induced by climate change (<xref ref-type="bibr" rid="B43">Rykaczewska, 2015</xref>). As temperate crops, potatoes thrive optimally at &#x2264;25&#xb0;C; while transient exposure to 25&#x2013;30&#xb0;C is tolerated, productivity declines significantly under such conditions (<xref ref-type="bibr" rid="B44">Singh et&#xa0;al., 2020</xref>). Prolonged heat stress (&gt;30&#xb0;C) induces stomatal closure for water conservation, halving plant development rates (<xref ref-type="bibr" rid="B4">Aien et&#xa0;al., 2017</xref>). Extensive research identifies temperature as the primary determinant of potato productivity, with elevated heat emerging as a dominant stressor compared to other environmental variables (<xref ref-type="bibr" rid="B7">Bender and Sentelhas, 2020</xref>; <xref ref-type="bibr" rid="B23">Gonzalez-Jimenez et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B61">Zhu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B24">Guillemette et&#xa0;al., 2025</xref>).</p>
<p>Plants have evolved sophisticated mechanisms to combat abiotic stresses, with TFs playing a central regulatory role. The WRKY TF superfamily, unique to algae and higher plants, is pivotal in mediating responses to biotic and abiotic stresses (<xref ref-type="bibr" rid="B39">Pandey and Somssich, 2009</xref>). Structurally, WRKY proteins are defined by an N-terminal DNA-binding domain containing a conserved heptapeptide (e.g., WRKYGQK, with variants such as WRKYGKK and WRKYGMK) and a C-terminal zinc-finger motif, primarily classified as C<sub>2</sub>H<sub>2</sub> or C<sub>2</sub>HC types, though atypical structures like CX<sub>29</sub>HXH also exist (<xref ref-type="bibr" rid="B17">Eulgem et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B40">Phukan et&#xa0;al., 2016</xref>). Grouped into three categories (I, II, or III) based on the number of DNA-binding domains and zinc-finger arrangements, their modular architecture enhances regulatory functions in stress responses and plant development (<xref ref-type="bibr" rid="B53">Wani et&#xa0;al., 2021</xref>). WRKY TFs modulate gene expression through dual mechanisms: direct binding to W-box cis-elements in target promoters to activate or repress transcription, and forming protein complexes with co-factors to enhance transcriptional activity (<xref ref-type="bibr" rid="B17">Eulgem et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B40">Phukan et&#xa0;al., 2016</xref>). Notably, many WRKY promoters contain W-box elements, enabling autoregulation and cross-regulatory networks via homo/hetero dimerization with other WRKYs, collectively shaping plant transcriptional processes (<xref ref-type="bibr" rid="B9">Ciolkowski et&#xa0;al., 2008</xref>). Since the first WRKY gene (SPF1 in sweet potato) was identified in 1994 (<xref ref-type="bibr" rid="B28">Ishiguro and Nakamura, 1994</xref>), this family has been extensively studied in various plants under abiotic stresses. For example, in <italic>Arabidopsis</italic>, <italic>AtWRKY25/26/3</italic>3 regulate thermotolerance (<xref ref-type="bibr" rid="B32">Li et&#xa0;al., 2011</xref>), while <italic>AtWRKY6/26/30/40/45/75</italic> are upregulated under reactive oxygen species (ROS) treatment (<xref ref-type="bibr" rid="B8">Cheong et&#xa0;al., 2002</xref>). Transgenic rice seedlings overexpressing <italic>OsWRKY11</italic> exhibit enhanced tolerance to both drought and heat stress (<xref ref-type="bibr" rid="B54">Wu et&#xa0;al., 2009</xref>), and <italic>OsWRKY72</italic> mediates salt tolerance (<xref ref-type="bibr" rid="B45">Song et&#xa0;al., 2010</xref>). The tomato <italic>SlWRKY3</italic> contributes to salt stress regulation (<xref ref-type="bibr" rid="B27">Hichri et&#xa0;al., 2017</xref>), while apple <italic>MdWRKY30</italic> enhances resistance to salt and osmotic stress in transgenic calli through the modulation of stress-responsive genes (<xref ref-type="bibr" rid="B13">Dong et&#xa0;al., 2020</xref>). In maize, <italic>ZmWRKY106</italic> confers heat tolerance, whereas in wheat, <italic>TaWRKY30</italic> enhances drought resistance (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B16">El-Esawi et&#xa0;al., 2019</xref>). These studies highlight WRKY TFs as key players in maintaining plant growth under stress, often by enhancing antioxidant enzyme activities, proline accumulation, and ROS scavenging gene expression (<xref ref-type="bibr" rid="B14">Duan et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B57">Yu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B50">Wang et&#xa0;al., 2024</xref>). The WRKY transcription factor (TF) family plays a crucial role in plant stress responses, including heat tolerance. In potato (Solanum tuberosum), 79 StWRKY genes have been identified through genome-wide analysis (<xref ref-type="bibr" rid="B59">Zhang et&#xa0;al., 2017</xref>), with sequences available in the Potato Genome Sequencing Consortium (PGSC) database (<ext-link ext-link-type="uri" xlink:href="http://solanaceae.plantbiology.msu.edu/pgsc_download.shtml">http://solanaceae.plantbiology.msu.edu/pgsc_download.shtml</ext-link>). However, the functional characterization of <italic>StWRKY75</italic> in heat stress responses remains unexplored. This qRT-PCR analysis provided the evidence that <italic>StWRKY75</italic> confers heat tolerance in potato, which is validated by the up-regulated expression of <italic>StWRKY75</italic> genes in two cultivars of potatoes (<italic>Atlantic</italic> and <italic>Desiree</italic>) under varied heat stress treatments at various time intervals. This upregulated expression profile of the <italic>StWRKY75</italic> gene provides a strong base for further analyzing the functional validation of this gene under high-temperature stress conditions. Furthermore, extensive evidence identifies Desiree as a potato cultivar with high sensitivity to both drought and elevated temperature (<xref ref-type="bibr" rid="B5">Basu and Minhas, 1991</xref>; <xref ref-type="bibr" rid="B47">Stark et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B42">Rolando et&#xa0;al., 2015</xref>). At the same time, Atlantic exhibits pronounced thermosensitivity, demonstrating significant reductions in both photosynthetic efficiency and tuber yield under evaluated heat stress conditions. This highlights Atlantic as a heat-sensitive cultivar, with its physiological and agronomic performance being markedly compromised under elevated temperatures (<xref ref-type="bibr" rid="B3">Ahn et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B20">Gautam et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B19">2024</xref>). Given their established susceptibility to elevated temperatures, the potato cultivars <italic>Desiree</italic> and <italic>Atlantic</italic>&#xa0;were chosen as model genotypes in this study to assess heat stress-induced alterations in growth, physiological, and photosynthetic performance.</p>
<p>This study aims to elucidate the function of <italic>StWRKY75</italic> in potato (cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and <italic>&#x2018;Desiree&#x2019;</italic>) thermotolerance by integrating multiple-sequence and phylogenetic analysis, expression profiling, subcellular localization, and transgenic validation. Specifically, we examine how <italic>StWRKY75</italic> modulates growth-related traits, antioxidant enzyme activities, proline accumulation, MDA contents, photosynthetic efficiency, and the expression of heat-responsive genes (<italic>StAPX</italic>, <italic>StSOD</italic>, <italic>StPOD</italic>, <italic>StCAT</italic>, <italic>StP5CS, StHSP20, StHSP70</italic>, and <italic>StHSP90</italic>) to enhance stress tolerance. Our findings provide mechanistic insights into <italic>StWRKY75</italic>-mediated heat resistance, offering potential targets for improving potato resilience to climate change.</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>Plant material and experimental design</title>
<p>The apical buds of tissue-cultured seedlings from two potato cultivars with inconsistent genetic backgrounds for heat stress, &#x2018;<italic>Atlantic</italic>&#x2019; (heat-sensitive) and &#x2018;<italic>Desiree</italic>&#x2019; (heat-tolerant), were transferred to MS medium and cultured for 28 days under controlled conditions (16-hour light/8-hour dark photoperiod, 2800 lux light intensity, 20&#xb0;C). The seedlings were then transplanted into autoclaved substrate soil and cultivated in a growth chamber for 14 days (16-hour light/8-hour dark photoperiod, 2800 lux light intensity, 20&#xb0;C, 75% relative humidity). Uniform plants were selected and transplanted into pots (26 cm &#xd7; 27 cm &#xd7; 18 cm) containing a soil-vermiculite mixture (1:1, v/v) and grown for five weeks under soil moisture maintained at 70&#x2013;75%. To investigate the response of the <italic>StWRKY75</italic> gene to drought, heat, and salt stress, experimental conditions included drought stress induced by 10% and 20% polyethylene glycol 6000 (PEG6000), heat stress at 30&#xb0;C and 35&#xb0;C, and salt stress with 75 mM and 150 mM sodium chloride (NaCl). Plants were exposed to these abiotic stresses for 0, 1, 2, 4, 8, 16, 24, and 48 hours, followed by leaf sampling for mRNA expression analysis. To assess <italic>StWRKY75</italic> expression levels, 432 potted plants were analyzed, encompassing two potato cultivars, two drought stress treatments (10% and 20% PEG6000), two heat stress treatments (30&#xb0;C and 35&#xb0;C), two salt stress treatments (75 mM and 150 mM NaCl), eight time points (0&#x2013;48 hours), three biological replicates, and three technical replicates (pots). For quantitative evaluation of physiological parameters, photosynthetic indices, and heat-responsive genes under heat stress, 14-day-old transgenic and NT lines of both cultivars from growth chambers were transplanted into pots (26 cm &#xd7; 27 cm &#xd7; 18 cm) containing a soil-vermiculite mixture (1:1, v/v), grown for five weeks under 70&#x2013;75% soil moisture, and subjected to heat stress (30&#xb0;C and 35&#xb0;C) for 48 hours. A total of 378 seedlings were evaluated, including two cultivars, seven genotypes per cultivar (one NT line, three <italic>StWRKY75</italic> overexpression lines, and three RNAi-mediated silencing lines), two heat treatments (30&#xb0;C and 35&#xb0;C), three biological replicates, and three technical replicates.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Phylogenetic and multiple-sequence alignment analysis</title>
<p>Multiple-sequence alignment of StWRKY75 with orthologs from 18 additional plant species was conducted using CLUSTALW (version 1.83) (<xref ref-type="bibr" rid="B48">Thompson et&#xa0;al., 1994</xref>). Conserved protein motifs were subsequently identified through the same alignment analysis. Phylogenetic reconstruction was performed using MEGA X (version 4.1) (<xref ref-type="bibr" rid="B10">Dereeper et&#xa0;al., 2010</xref>), employing the Neighbor-Joining (NJ) method with 1000 bootstrap replicates to assess nodal support.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>RNA extraction and quantitative PCR analysis</title>
<p>Total RNA was extracted from the samples using the TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer&#x2019;s protocol. First-strand cDNA was synthesized from 1 &#xb5;g of total RNA using the TransScript First-Strand cDNA Synthesis Kit (TransGen Biotech, Beijing, China). The qRT-PCR was performed on a LightCycler 480 II instrument (Roche, Rotkreuz, Switzerland) in 20 &#xb5;L reaction mixtures. Each reaction contained 100 ng of cDNA, 0.8 &#xb5;L of gene-specific primers (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>), and 10 &#xb5;L of SYBR Premix Ex Taq (2&#xd7;) (Takara, Tokyo, Japan). The amplification conditions were as follows: initial denaturation at 94&#xb0;C for 2 min, followed by 34 cycles of denaturation at 94&#xb0;C for 30 s, primer annealing at 60&#xb0;C for 34 s, and extension at 72&#xb0;C for 30 s. The <italic>Stef1&#x3b1;</italic> gene was used as an internal control to normalize gene expression levels. Relative gene expression was quantified using the 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method (<xref ref-type="bibr" rid="B34">Livak and Schmittgen, 2001</xref>) based on cycle threshold (CT) values. To ensure reproducibility, three biological replicates were analyzed, each with three technical replicates. The primer sequences used in this study are provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Plasmid construction and genetic transformation</title>
<p>The <italic>StWRKY75</italic> coding sequence (GenBank ID: NM_001288675.1) was PCR-amplified using specific primers (forward: 5&#x2019;-CTCGACATGGAGAATTATGCAACAATAT-3&#x2019;; reverse: 5&#x2019;-GTCGACAAAAGGAAGTATAGATTTGCATCT-3&#x2019;; Bioeditas, Shaanxi, China) and cloned into the pBI121-EGFP vector following established protocols (<xref ref-type="bibr" rid="B31">Li et&#xa0;al., 2020</xref>). RNAi lines were generated as previously described (<xref ref-type="bibr" rid="B35">Lu et&#xa0;al., 2019</xref>). The sense cDNA fragment was amplified using <italic>Eco</italic>R I/<italic>Kpn</italic> I<italic>-</italic>restriction sites primers and cloned into pHANNIBAL (pHAN-StWRKY75-R). Similarly, the antisense fragment was amplified with <italic>Hind</italic> III/<italic>Xba</italic> I primers and inserted to create pHAN-StWRKY75-RF. The pHAN-StWRKY75 construct was then sub-cloned into the pART vector at the <italic>Xho</italic> I and <italic>Xba</italic> I restriction sites, resulting in the pART-StWRKY75-RNAi construct. The construct was transformed into <italic>Agrobacterium tumefaciens</italic> LBA4404 and cultured (28&#xb0;C, 48 h) for subsequent plant transformation. Transformants were verified by PCR amplification using RNAi-specific primers: 5&#x2019;-TGGAGAATTATGCAACAATATTTC-3&#x2019; (forward) and 5&#x2019;-CCATCTATAACCATCAAGAAT-3&#x2019; (reverse), NPT II selection marker primers: 5&#x2019;-ATGACTGGGCACAACAGACAATCG-3&#x2019; (forward) and 5&#x2019;-TCAGAAGAACTCGTCAAGAAGGCG-3&#x2019; (reverse). The transformed <italic>Agrobacterium tumefaciens</italic> culture was maintained in an LB medium supplemented with 50 mg/L each of spectinomycin and gentamicin at 28&#xb0;C for 48 hours. Following centrifugation (5,000 &#xd7; g, 10 min), bacterial cells were resuspended in MS liquid medium to achieve OD600 = 0.3. Surface-sterilized potato stem segments (2 cm) were cultured on an MS medium containing 7.4 g/L agar, 30 g/L sucrose, 0.5 mg/L 6-benzylaminopurine (6-BA), 2.0 mg/L zeatin (ZT), 0.2 mg/L gibberellic acid(GA3), 1.0 mg/L indole-3-acetic acid (IAA) (pH adjusted to 5.8). The explants were immersed in Agrobacterium suspension for 10 min, then co-cultivated in darkness (72 h, 25&#xb0;C). Subsequently, samples were transferred to the selection medium (composition as above, supplemented with 300 mg/L timentin, 100 mg/L kanamycin), with media refreshed biweekly. The selection medium was replaced every two weeks to maintain antibiotic pressure. Developing shoots that exhibited stable antibiotic resistance were subsequently excised and transferred to a rooting medium consisting of MS basal salts, 7.4 g/L agar, 30 g/L sucrose, 300 mg/L timentin, and 100 mg/L kanamycin to promote adventitious root formation.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Subcellular localization of StWRKY75 in tobacco epidermal cells</title>
<p>The protein-coding sequence of StWRKY75 was amplified using primers (forward: 5&#x2032;-ATGGAGAATTATGCAACAATAT-3&#x2032;; reverse: 5&#x2032;-AAAAGGAAGTATAGATTTGCATCT-3 &#x2032;) and cloned into the pCAM35s-GFP expression vector. The recombinant plasmid was introduced into <italic>Agrobacterium tumefaciens</italic> strain GV3101. Transient transformation of tobacco (<italic>Nicotiana benthamiana</italic>) epidermal cells was performed following the protocol described by <xref ref-type="bibr" rid="B46">Sparkes et&#xa0;al. (2006)</xref>. GFP fluorescence was visualized after 48 hours of post-infiltration using a Leica TCS SP8 confocal laser scanning microscope (Leica Microsystems, Wetzlar, Germany).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Assessment of growth-related traits</title>
<p>Apical buds of transgenic and NT tissue-cultured seedlings from two uniform potato cultivars, &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019;, were transferred to MS medium and cultured for 28 days under controlled conditions (16-hour light/8-hour dark photoperiod, 2800 lux light intensity, 20&#xb0;C). The seedlings were then transplanted into autoclaved substrate soil and cultivated in a growth chamber for 14 days (16-hour light/8-hour dark photoperiod, 2800 lux light intensity, 20&#xb0;C, 70% relative humidity). Uniformly growing plants were selected and transplanted into pots (26 cm &#xd7; 27 cm &#xd7; 18 cm) containing a soil-vermiculite mixture (1:1, v/v) and grown for five weeks under soil moisture maintained at 70&#x2013;75%. Plants with consistent growth were subjected to heat stress (30&#xb0;C and 35&#xb0;C) for five weeks, followed by growth parameter analysis. Plant height was measured as the distance from the soil surface to the stem apex, while tuber yield per plant and biomass (fresh and dry weights of shoots and roots) were evaluated under different heat stress conditions. Fresh weights were recorded immediately after treatment, and dry weights were determined after drying samples to constant weight in a 70&#xb0;C oven. A total of 378 seedlings were assessed, encompassing two cultivars, seven genotypes per cultivar (1 NT line, 3 <italic>StWRKY75</italic> overexpression lines, and 3 RNAi-mediated silencing lines), two heat treatments (30&#xb0;C and 35&#xb0;C), three biological replicates, and three technical replicates.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Assessment of physiological indicators</title>
<p>The key physiological parameters, including the activities of SOD (<xref ref-type="bibr" rid="B22">Giannopolitis and Ries, 1977</xref>), CAT (<xref ref-type="bibr" rid="B2">Aebi, 1984</xref>), POD (<xref ref-type="bibr" rid="B36">Maehly and Chance, 1954</xref>), and APX (<xref ref-type="bibr" rid="B37">Nakano and Asada, 1981</xref>), as well as the levels of proline (<xref ref-type="bibr" rid="B6">Bates et&#xa0;al., 1973</xref>) and MDA (<xref ref-type="bibr" rid="B26">Heath and Packer, 1968</xref>), were assayed using established protocols (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Data 1</bold>
</xref>). The study evaluated 378 seedlings from two cultivars, each comprising seven genotypes (an NT control, three <italic>StWRKY75</italic>-overexpression lines, and three <italic>StWRKY75</italic>-RNAi lines), under two heat stress regimes (30&#xb0;C and 35&#xb0;C) in a completely randomized design.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Assessment of photosynthetic indicators</title>
<p>The photosynthetic capacity of plants was assessed by examining the third fully developed leaf from the shoot apex, with measurements conducted during mid-morning hours (9:30-11:30 AM). Gas exchange measurements, comprising net photosynthesis (Pn), transpiration (E), and stomatal conductance (Gs), were collected using Li-COR&#x2019;s 6400XT portable photosynthesis monitoring equipment. Measurements were conducted under controlled environmental conditions: photosynthetic photon flux density (PPFD) of 1500 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup>, atmospheric CO<sub>2</sub> concentration of 400 &#x3bc;mol&#xb7;mol<sup>&#x2212;1</sup>, and leaf chamber relative humidity maintained at 60-70%. The experimental design consisted of three biological replicates arranged in a completely randomized configuration.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>The statistical analyses were conducted using GraphPad Prism 8.0 (GraphPad Software, California, USA) and IBM SPSS Statistics 19 (IBM Corporation, New York, USA). Before analysis, data normality was verified using Shapiro-Wilk tests, while homogeneity of variance was confirmed through Levene&#x2019;s test (<italic>P&gt;0.05</italic>). All datasets satisfied the assumptions of normality and homoscedasticity. The results are shown as mean &#xb1; standard deviation (SD). A two-way analysis of variance (two-way ANOVA) followed by Tukey&#x2019;s multiple comparisons test was employed to assess differences between groups, with a significance threshold set at <italic>P &lt; 0.05</italic>.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Multiple-sequence alignments and phylogenetic analysis</title>
<p>The amino acid sequence alignment (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) and phylogenetic tree (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>) demonstrate the evolutionary conservation of StWRKY75 among 18 other plant species. Mango (<italic>Mangifera indica</italic>) MiWRKY75, tea plant (<italic>Camellia sinensis</italic>) CsWRKY75, oil-seed camellia (<italic>Camellia lanceoleosa</italic>) ClWRKY75, Shrub althea (<italic>Hibiscus syriacus</italic>) HsWRKY75, peruvian cotton (<italic>Gossypium raimondii</italic>) GrWRKY75, silverweed (<italic>Argentina anserina</italic>) AaWRKY75, Chinese rose (<italic>Rosa chinensis</italic>) RcWRKY75, Japanese plum (<italic>Prunus mume</italic>) PmWRKY75, apple (<italic>Malus domestica)</italic> MdWRKY75, common pear (<italic>Pyrus communis</italic>) PcWRKY75, sweet potato (<italic>Ipomoea batatas</italic>) IbWRKY75, <italic>Arabidopsis</italic> (<italic>Arabidopsis thaliana</italic>) AtWRKY75, flowering tobacco (<italic>Nicotiana sylvestris</italic>) NsWRKY75, wild tobacco (<italic>Nicotiana tomentosiformis</italic>) NtWRKY75, tomato (<italic>Solanum lycopersicum</italic>) SlWRKY75, potato (<italic>Solanum tuberosum</italic>) StWRKY75, ground cherry (<italic>Physalis pubescens</italic>) PpWRKY75, wolfberry (<italic>Lycium barbarum</italic>) LbWRKY75, pepper (<italic>Capsicum annuum</italic>) CaWRKY75 and their predicted amino acid residue alignment is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>. The NCBI Protein BLAST tool (<ext-link ext-link-type="uri" xlink:href="https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins">https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins</ext-link>) was employed to retrieve the protein accession numbers of WRKY75 orthologs from diverse plant species, as listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. The sequence alignment analysis revealed that StWRKY75 shares significant sequence homology with orthologous proteins from diverse species, including <italic>Solanum lycopersicum</italic> (SlWRKY75), <italic>Prunus mume</italic> (PmWRKY75), <italic>Rosa chinensis</italic> (RcWRKY75), <italic>Actinidia arguta</italic> (AaWRKY75), <italic>Gossypium raimondii</italic> (GrWRKY75), and <italic>Hibiscus syriacus</italic> (HsWRKY75). All these proteins contain the conserved signature WRKYGQK at the N-terminus, followed by the C2H2 zinc-finger motif (CX<sub>5</sub>-C-X<sub>23</sub>-H-X<sub>1</sub>-H), which is characteristic of group II (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). This conserved domain architecture confirms the evolutionary preservation of core functional foundations across these orthologs. Phylogenetic analysis revealed distinct clustering patterns among WRKY75 orthologs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Notably, StWRKY75 exhibits the highest sequence homology with SlWRKY75, as they are clustered together in the phylogenetic tree. Members within each cluster exhibit conserved functional domains and significant evolutionary homology, suggesting conserved functional roles among phylogenetically related orthologs.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Multiple sequence alignment and phylogenetic relationships of StWRKY75 with other plant species. <bold>(A)</bold> Multiple sequence alignment of WRKY75 homologous proteins in potato and other plants. The different background colors represent a similar degree of amino acid sequences. The first red line indicates the WRKYGQK motif, and the second indicates the conserved C2H2 zinc-finger motif. <bold>(B)</bold> Neighbor-joining phylogenetic tree of the WRKY75 in potato and other plant species. The unrooted tree was generated using the MEGA 4.1 program with the neighbor-joining method. Bootstrap values (above 50%) from 1000 replicates are indicated at each branch.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g001.tif">
<alt-text content-type="machine-generated">(A) Multiple sequence alignment of WRKY75 proteins shows color-coded amino acids highlighting conserved motifs, including the WRKYGQK and C2H2 zinc finger motifs. (B) Phylogenetic tree of WRKY75 proteins illustrates evolutionary relationships with branch lengths and group classifications labeled A, B, and C.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Expression profile of <italic>StWRKY75</italic> in potato under various abiotic stress treatments</title>
<p>To elucidate the transcriptional dynamics of <italic>StWRKY75</italic> under various abiotic stresses, this study systematically analyzed the relative expression patterns in leaves of potato cultivars &#x2018;<italic>Desiree</italic>&#x2019; and &#x2018;<italic>Atlantic</italic>&#x2019; using qRT-PCR (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>). In &#x2018;<italic>Desiree</italic>&#x2019;, <italic>StWRKY75</italic> expression showed continuous upregulation from 1 to 48 hours post-treatment (hpt) under 30&#xb0;C (peaking at 48 hpt), while 35&#xb0;C stress treatment induced a sustained upregulated expression pattern reaching maximum at 48 hpt (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>). &#x2018;<italic>Atlantic</italic>&#x2019; displayed significant upregulation from 1&#x2013;48 hpt under 30&#xb0;C (peak at 2 hpt), with 35&#xb0;C stress treatment triggering rapid response (peak at 4 hpt), indicating the gene&#x2019;s involvement in thermotolerance regulation through rapid response to heat stress (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>). Under drought stress, &#x2018;<italic>Desiree</italic>&#x2019; showed insensitivity to 10% PEG6000 (only significant downregulation at 1 hpt), whereas 20% PEG6000 treatment caused continuous suppression from 1&#x2013;48 hpt (minimum at 16 hpt), suggesting its potential negative regulatory role in severe drought response (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>). &#x2018;<italic>Atlantic</italic>&#x2019; exhibited significant upregulation at 4&#x2013;8 hpt (peaks at 4 and 8 hpt) but downregulation at other time points (minimum at 1 hpt) under 10% PEG6000, with 20% PEG6000 inducing overall suppression (minimum at 48 hpt) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). Salt stress responses showed cultivar-specific patterns: &#x2018;<italic>Desiree</italic>&#x2019; showed no significant changes under 75 mM NaCl but significant upregulation at 4 hpt (peak at 48 hpt) under 150 mM NaCl (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E, F</bold>
</xref>); &#x2018;<italic>Atlantic</italic>&#x2019; displayed only transient upregulation at 16 hpt under 75 mM NaCl, while 150 mM NaCl caused significant suppression from 4&#x2013;16 hpt (minimum at 8 hpt) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>). These findings demonstrate that <italic>StWRKY75</italic> functions as a core regulator in heat stress response with rapid activation characteristics under both 30&#xb0;C and 35&#xb0;C stress treatments, while its roles in drought and salt stress may be differentially modulated by cultivar-specific genetic backgrounds and stress intensity.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The expression patterns of <italic>StWRKY75</italic> in the leaves of potato cultivar &#x2018;<italic>Atlantic</italic>&#x2019; in response to drought (10% and 20% PEG6000), heat (30&#xb0;C and 35&#xb0;C), and salinity (75 mM and 150 mM NaCl), induced at the time intervals of 0, 1, 2, 4, 8, 16, 24, and 48 h. The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, ***P &lt; 0.001</italic>) were calculated through ordinary two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g002.tif">
<alt-text content-type="machine-generated">Bar graphs labeled A to F show relative mRNA expression of StWRKY1/75 in Atlantic under different conditions. Graphs A and B depict responses to 10% and 20% PEG6000, respectively, with peak expression at 4 hours in A. Graphs C and D show responses to 30&#xb0;C and 35&#xb0;C, with peak expression at 2 hours. Graphs E and F illustrate effects of 75 mM and 150 mM NaCl, with peak expression at 16 hours in E. All graphs depict time intervals from 0 to 48 hours, with varying expression levels and error bars indicating variability.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The expression patterns of <italic>StWRKY75</italic> in the leaves of potato cultivar &#x2018;<italic>Desiree</italic>&#x2019; in response to drought (10% and 20% PEG6000), heat (30&#xb0;C and 35&#xb0;C), and salinity (75 mM and 150 mM NaCl), induced at the time intervals of 0, 1, 2, 4, 8, 16, 24, and 48 h. The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001</italic>) were calculated through ordinary two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g003.tif">
<alt-text content-type="machine-generated">Bar charts depicting relative mRNA expression of StWRKY75 in &#x201c;Desiree&#x201d; under various conditions over time. Charts A and B show treatments with 10% and 20% PEG6000, indicating decreased expression. Charts C and D represent temperatures of 30&#xb0;C and 35&#xb0;C, showing increasing expression. Charts E and F display NaCl treatments of 75 mM and 150 mM, with stable expression in E and increased expression in F. Each chart covers time intervals from 0 to 48 hours.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subcellular localization analysis and construction of <italic>StWRKY75</italic> transgenic potato plants</title>
<p>To assess the subcellular localization of StWRKY75 TF, tobacco leaves were infiltrated with <italic>Agrobacterium tumefaciens</italic> strain GV3101 carrying the recombinant plasmid pCAM35S-GFP-StWRKY75 and the empty vector control (pCAM35S-GFP). Laser confocal microscopy showed that the StWRKY75-GFP fusion protein localized exclusively to the nucleus by green protein signals (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In contrast, the GFP vector (control) was distributed in the plasma membrane, cytoplasm, and nucleus. These results demonstrate the nuclear-specific localization of StWRKY75.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Subcellular localization of StWRKY75-GFP fusion protein. Confocal scanning laser microscopy analysis of tobacco transformed with pCAM35-GFP-StWRKY75. The empty vector (GFP) served as a control. Bar = 50 &#x3bc;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g004.tif">
<alt-text content-type="machine-generated">Fluorescence microscopy images showing protein localization. The top row displays StWRKY75-GFP in GFP field, chlorophyll, bright field, and merged images. The bottom row shows GFP alone in the same sequence. The scale bar measures fifty micrometers.</alt-text>
</graphic>
</fig>
<p>To functionally characterize <italic>StWRKY75</italic> in potato, we established transgenic overexpression (OE) and RNA interference (RNAi) lines in two commercial cultivars, &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019;. The qRT-PCR analysis revealed that <italic>StWRKY75</italic> transcript levels were significantly elevated in all OE lines (OE-1 to OE-8; <italic>*** P &lt; 0.001</italic>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), whereas its expression was markedly suppressed in RNAi lines (RNAi-1 to RNAi-8; <italic>*</italic>
<bold>
<italic>*</italic>
</bold>
<italic>*P &lt; 0.001</italic>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). Based on expression profiling, we selected three most representative lines from each group for subsequent functional studies: OE-3, OE-6, and OE-7 (showing highest overexpression) along with RNAi-1, RNAi-4, and RNAi-5 (exhibiting strongest suppression) in &#x2018;<italic>Atlantic</italic>&#x2019;(<italic>*</italic>
<bold>
<italic>*</italic>
</bold>
<italic>*P &lt; 0.001</italic>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1A, B</bold>
</xref>); similarly, OE-1, OE-2, OE-4 and RNAi-1, RNAi-3, RNAi-4 were chosen from &#x2018;<italic>Desiree</italic>&#x2019; lines (<italic>*</italic>
<bold>
<italic>*</italic>
</bold>
<italic>*P &lt; 0.001</italic>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1C, D</bold>
</xref>). These selected transgenic lines were subsequently employed to investigate the functional role of <italic>StWRKY75</italic> in thermotolerance responses.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>
<italic>StWRKY75</italic> regulates the growth and biomass of potato plants under heat stress</title>
<p>Under optimal growth conditions (20&#xb0;C), transgenic and NT control lines of potato cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019; exhibited comparable performance (<italic>P&gt;0.05</italic>) in all evaluated growth parameters, including plant height, tuber weight per plant, fresh weight, dry weight, root fresh weight, and root dry weight (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). When exposed to 30&#xb0;C heat stress, all genotypes of both cultivars exhibited significant reductions in growth metrics (<italic>*P&lt;0.05</italic>, <italic>**P&lt;0.01</italic>). However, <italic>StWRKY75</italic>-overexpressing lines in both &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018; <italic>Desiree</italic>&#x2019; demonstrated enhanced thermotolerance, with significantly greater plant height, tuber yield, and biomass accumulation compared to NT and RNAi lines (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Conversely, RNAi lines showed pronounced growth inhibition, with all measured parameters significantly lower than NT controls (<italic>*P&lt;0.05</italic>, <italic>**P&lt;0.01</italic>). At 35&#xb0;C, heat stress, growth parameters declined more severely across all genotypes, with heat stress severely impeding potato growth. Nevertheless, OE lines in both cultivars maintained significantly superior growth performance (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), while RNAi lines suffered exacerbated heat stress damage, displaying further significant reductions in biomass and tuber yield compared to NT plants (<italic>*P&lt;0.05</italic>, <italic>**P&lt;0.01</italic>, <italic>***P&lt;0.001</italic>). These findings collectively indicate that <italic>StWRKY75</italic> overexpression confers thermotolerance by mitigating heat-induced growth suppression, while its knockdown exacerbates sensitivity, underscoring the gene&#x2019;s critical role in potato heat stress adaptation.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Effects of <italic>StWRKY75</italic> on potato growth indicators in response to heat treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Heat stress (potato cultivar)</th>
<th valign="middle" align="center">Genotype</th>
<th valign="middle" align="center">Plant height (cm)</th>
<th valign="middle" align="center">Tuber yield per plant (g)</th>
<th valign="middle" align="center">Fresh weight (g)</th>
<th valign="middle" align="center">Dry weight (g)</th>
<th valign="middle" align="center">Root fresh weight (g)</th>
<th valign="middle" align="center">Root dry weight (g)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="7" align="center">20&#xb0;C (<italic>Atlantic</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">52.73 &#xb1; 11.08</td>
<td valign="top" align="center">20.52 &#xb1; 3.47</td>
<td valign="top" align="center">174.62 &#xb1; 33.61</td>
<td valign="top" align="center">24.74 &#xb1; 3.77</td>
<td valign="top" align="center">14.98 &#xb1; 2.61</td>
<td valign="top" align="center">1.66 &#xb1; 0.32</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">52.71 &#xb1; 11.29 ns</td>
<td valign="top" align="center">21.19 &#xb1; 3.2 ns</td>
<td valign="top" align="center">176.43 &#xb1; 29.26 ns</td>
<td valign="top" align="center">25.25 &#xb1; 4.35 ns</td>
<td valign="top" align="center">15.26 &#xb1; 3.37 ns</td>
<td valign="top" align="center">1.68 &#xb1; 0.32 ns</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">53.39 &#xb1; 8.96 ns</td>
<td valign="top" align="center">21.55 &#xb1; 3.37 ns</td>
<td valign="top" align="center">175.23 &#xb1; 31.85 ns</td>
<td valign="top" align="center">24.76 &#xb1; 3.99 ns</td>
<td valign="top" align="center">15.5 &#xb1; 2.71 ns</td>
<td valign="top" align="center">1.63 &#xb1; 0.31 ns</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">53.57 &#xb1; 14.03 ns</td>
<td valign="top" align="center">21.5 &#xb1; 3.46 ns</td>
<td valign="top" align="center">175.49 &#xb1; 34.16 ns</td>
<td valign="top" align="center">24.82 &#xb1; 3.33 ns</td>
<td valign="top" align="center">15.13 &#xb1; 2.93 ns</td>
<td valign="top" align="center">1.63 &#xb1; 0.28 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">52.6 &#xb1; 10.29 ns</td>
<td valign="top" align="center">20.63 &#xb1; 3.14 ns</td>
<td valign="top" align="center">171.11 &#xb1; 31.87 ns</td>
<td valign="top" align="center">23.3 &#xb1; 4.6 ns</td>
<td valign="top" align="center">15.05 &#xb1; 3.4 ns</td>
<td valign="top" align="center">1.6 &#xb1; 0.27 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">50.95 &#xb1; 9.92 ns</td>
<td valign="top" align="center">20.85 &#xb1; 3.77 ns</td>
<td valign="top" align="center">174.95 &#xb1; 27.33 ns</td>
<td valign="top" align="center">24.46 &#xb1; 4.46 ns</td>
<td valign="top" align="center">15.26 &#xb1; 2.65 ns</td>
<td valign="top" align="center">1.66 &#xb1; 0.26 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">50.2 &#xb1; 8.88 ns</td>
<td valign="top" align="center">20.67 &#xb1; 4.04 ns</td>
<td valign="top" align="center">172.29 &#xb1; 29.35 ns</td>
<td valign="top" align="center">23.5 &#xb1; 5.41 ns</td>
<td valign="top" align="center">15.19 &#xb1; 3.51 ns</td>
<td valign="top" align="center">1.68 &#xb1; 0.26 ns</td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="center">30&#xb0;C (<italic>Atlantic</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">33.73 &#xb1; 6.28</td>
<td valign="top" align="center">8.32 &#xb1; 1.51</td>
<td valign="top" align="center">139.47 &#xb1; 27.22</td>
<td valign="top" align="center">17.69 &#xb1; 3.32</td>
<td valign="top" align="center">11.54 &#xb1; 2.22</td>
<td valign="top" align="center">1.06 &#xb1; 0.28</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">43.49 &#xb1; 6.54*</td>
<td valign="top" align="center">11.48 &#xb1; 2.17*</td>
<td valign="top" align="center">172.09 &#xb1; 23.31*</td>
<td valign="top" align="center">23.05 &#xb1; 4.03**</td>
<td valign="top" align="center">14.42 &#xb1; 2.4*</td>
<td valign="top" align="center">1.38 &#xb1; 0.25*</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">45.41 &#xb1; 6.52**</td>
<td valign="top" align="center">11.23 &#xb1; 1.7*</td>
<td valign="top" align="center">173.99 &#xb1; 42.3*</td>
<td valign="top" align="center">22.33 &#xb1; 4.5*</td>
<td valign="top" align="center">14.93 &#xb1; 3.07*</td>
<td valign="top" align="center">1.44 &#xb1; 0.27**</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">44.77 &#xb1; 7.93*</td>
<td valign="top" align="center">11.92 &#xb1; 1.9**</td>
<td valign="top" align="center">174.13 &#xb1; 32.9*</td>
<td valign="top" align="center">23.07 &#xb1; 4.59**</td>
<td valign="top" align="center">15.23 &#xb1; 2.55**</td>
<td valign="top" align="center">1.35 &#xb1; 0.33*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">24.22 &#xb1; 5.18*</td>
<td valign="top" align="center">5.23 &#xb1; 1.06*</td>
<td valign="top" align="center">99.66 &#xb1; 17.54**</td>
<td valign="top" align="center">13.21 &#xb1; 3.08*</td>
<td valign="top" align="center">7.91 &#xb1; 1.74**</td>
<td valign="top" align="center">0.7 &#xb1; 0.12**</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">22.61 &#xb1; 4.35**</td>
<td valign="top" align="center">4.95 &#xb1; 0.77**</td>
<td valign="top" align="center">102.44 &#xb1; 12.82*</td>
<td valign="top" align="center">13.37 &#xb1; 2.25*</td>
<td valign="top" align="center">8.25 &#xb1; 1.71*</td>
<td valign="top" align="center">0.68 &#xb1; 0.19**</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">22.83 &#xb1; 5.8*</td>
<td valign="top" align="center">4.95 &#xb1; 0.86**</td>
<td valign="top" align="center">101.33 &#xb1; 15.62**</td>
<td valign="top" align="center">11.59 &#xb1; 2.71**</td>
<td valign="top" align="center">8.51 &#xb1; 1.42*</td>
<td valign="top" align="center">0.73 &#xb1; 0.12*</td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="center">35&#xb0;C (<italic>Atlantic</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">17.57 &#xb1; 3.23</td>
<td valign="top" align="center">1.71 &#xb1; 0.43</td>
<td valign="top" align="center">74.72 &#xb1; 16.18</td>
<td valign="top" align="center">11.89 &#xb1; 2.01</td>
<td valign="top" align="center">6.01 &#xb1; 1.14</td>
<td valign="top" align="center">0.64 &#xb1; 0.11</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">26.95 &#xb1; 4.01*</td>
<td valign="top" align="center">7.84 &#xb1; 0.65***</td>
<td valign="top" align="center">119.08 &#xb1; 19.55**</td>
<td valign="top" align="center">16.92 &#xb1; 2.79 *</td>
<td valign="top" align="center">9.65 &#xb1; 2.37**</td>
<td valign="top" align="center">1.06 &#xb1; 0.22***</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">28.70 &#xb1; 5.21**</td>
<td valign="top" align="center">6.61 &#xb1; 0.54*</td>
<td valign="top" align="center">125.44 &#xb1; 23.74***</td>
<td valign="top" align="center">17.29 &#xb1; 3.73**</td>
<td valign="top" align="center">10.57 &#xb1; 1.8***</td>
<td valign="top" align="center">0.99 &#xb1; 0.18**</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">26.82 &#xb1; 4.42*</td>
<td valign="top" align="center">6.82 &#xb1; 0.72*</td>
<td valign="top" align="center">118.82 &#xb1; 25.87**</td>
<td valign="top" align="center">16.81 &#xb1; 3.12 *</td>
<td valign="top" align="center">9.28 &#xb1; 2.12*</td>
<td valign="top" align="center">0.97 &#xb1; 0.15*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">8.09 &#xb1; 2.07*</td>
<td valign="top" align="center">0.3 &#xb1; 0.07**</td>
<td valign="top" align="center">25.96 &#xb1; 4.64***</td>
<td valign="top" align="center">5.73 &#xb1; 0.73**</td>
<td valign="top" align="center">2.90 &#xb1; 0.45*</td>
<td valign="top" align="center">0.26 &#xb1; 0.06**</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">6.00 &#xb1; 1.96**</td>
<td valign="top" align="center">0.22 &#xb1; 0.04**</td>
<td valign="top" align="center">32.29 &#xb1; 5.68**</td>
<td valign="top" align="center">6.14 &#xb1; 0.64**</td>
<td valign="top" align="center">2.39 &#xb1; 0.46**</td>
<td valign="top" align="center">0.35 &#xb1; 0.06*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">7.63 &#xb1; 1.87*</td>
<td valign="top" align="center">0.25 &#xb1; 0.04**</td>
<td valign="top" align="center">27.57 &#xb1; 6.53***</td>
<td valign="top" align="center">5.19 &#xb1; 0.86***</td>
<td valign="top" align="center">2.17 &#xb1; 0.46**</td>
<td valign="top" align="center">0.22 &#xb1; 0.09***</td>
</tr>
<tr>
<td valign="bottom" rowspan="7" align="center">20&#xb0;C (<italic>Desiree</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">47.77 &#xb1; 9.59</td>
<td valign="top" align="center">27.09 &#xb1; 3.19</td>
<td valign="top" align="center">172.63 &#xb1; 36.72</td>
<td valign="top" align="center">24.31 &#xb1; 3.53</td>
<td valign="top" align="center">22.54 &#xb1; 3.52</td>
<td valign="top" align="center">2.62 &#xb1; 0.49</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">48.83 &#xb1; 8.44 ns</td>
<td valign="top" align="center">28.26 &#xb1; 4.64 ns</td>
<td valign="top" align="center">173.14 &#xb1; 33.05 ns</td>
<td valign="top" align="center">25.05 &#xb1; 5.16 ns</td>
<td valign="top" align="center">23.11 &#xb1; 4.14 ns</td>
<td valign="top" align="center">2.95 &#xb1; 0.59 ns</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">48.62 &#xb1; 6.70 ns</td>
<td valign="top" align="center">27.69 &#xb1; 5.97 ns</td>
<td valign="top" align="center">171.41 &#xb1; 36.56 ns</td>
<td valign="top" align="center">25.05 &#xb1; 4.28 ns</td>
<td valign="top" align="center">23.88 &#xb1; 5.33 ns</td>
<td valign="top" align="center">2.86 &#xb1; 0.54 ns</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">47.61 &#xb1; 6.05 ns</td>
<td valign="top" align="center">28.86 &#xb1; 4.59 ns</td>
<td valign="top" align="center">169.03 &#xb1; 28.99 ns</td>
<td valign="top" align="center">24.38 &#xb1; 5.60 ns</td>
<td valign="top" align="center">23.37 &#xb1; 4.6 ns</td>
<td valign="top" align="center">2.89 &#xb1; 0.54 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">47.24 &#xb1; 9.16 ns</td>
<td valign="top" align="center">27.13 &#xb1; 4.17ns</td>
<td valign="top" align="center">172.41 &#xb1; 30.61 ns</td>
<td valign="top" align="center">24.18 &#xb1; 3.52 ns</td>
<td valign="top" align="center">21.51 &#xb1; 4.62 ns</td>
<td valign="top" align="center">2.37 &#xb1; 0.49 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">46.74 &#xb1; 9.15 ns</td>
<td valign="top" align="center">26.82 &#xb1; 2.60 ns</td>
<td valign="top" align="center">170.64 &#xb1; 29.17 ns</td>
<td valign="top" align="center">23.33 &#xb1; 4.33 ns</td>
<td valign="top" align="center">21.89 &#xb1; 3.50 ns</td>
<td valign="top" align="center">2.29 &#xb1; 0.45 ns</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">48.17 &#xb1; 9.39 ns</td>
<td valign="top" align="center">27.35 &#xb1; 4.81 ns</td>
<td valign="top" align="center">166.87 &#xb1; 25.91 ns</td>
<td valign="top" align="center">22.57 &#xb1; 4.04 ns</td>
<td valign="top" align="center">21.6 &#xb1; 3.61 ns</td>
<td valign="top" align="center">2.24 &#xb1; 0.38 ns</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="center">30&#xb0;C (<italic>Desiree</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">33.75 &#xb1; 6.34</td>
<td valign="top" align="center">9.02 &#xb1; 1.77</td>
<td valign="top" align="center">124.84 &#xb1; 20.07</td>
<td valign="top" align="center">17.98 &#xb1; 3.29</td>
<td valign="top" align="center">14.98 &#xb1; 2.61</td>
<td valign="top" align="center">1.71 &#xb1; 0.32</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">42.53 &#xb1; 7.24*</td>
<td valign="top" align="center">13.35 &#xb1; 2.04**</td>
<td valign="top" align="center">157.41 &#xb1; 31.68*</td>
<td valign="top" align="center">22.82 &#xb1; 4.54*</td>
<td valign="top" align="center">20.62 &#xb1; 3.47**</td>
<td valign="top" align="center">2.26 &#xb1; 0.48*</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">43.89 &#xb1; 8.37**</td>
<td valign="top" align="center">12.75 &#xb1; 2.57*</td>
<td valign="top" align="center">159.25 &#xb1; 26.68*</td>
<td valign="top" align="center">22.39 &#xb1; 3.89*</td>
<td valign="top" align="center">19.04 &#xb1; 3.39*</td>
<td valign="top" align="center">2.28 &#xb1; 0.44**</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">42.64 &#xb1; 7.97*</td>
<td valign="top" align="center">13.09 &#xb1; 2.22*</td>
<td valign="top" align="center">168.50 &#xb1; 27.56**</td>
<td valign="top" align="center">23.86 &#xb1; 4.90**</td>
<td valign="top" align="center">19.75 &#xb1; 3.53**</td>
<td valign="top" align="center">2.24 &#xb1; 0.45*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">24.50 &#xb1; 5.52*</td>
<td valign="top" align="center">4.91 &#xb1; 0.87*</td>
<td valign="top" align="center">87.41 &#xb1; 19.34**</td>
<td valign="top" align="center">11.74 &#xb1; 2.37*</td>
<td valign="top" align="center">10.49 &#xb1; 1.88*</td>
<td valign="top" align="center">1.20 &#xb1; 0.24*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">22.20 &#xb1; 4.69**</td>
<td valign="top" align="center">5.37 &#xb1; 1.02*</td>
<td valign="top" align="center">89.25 &#xb1; 16.55*</td>
<td valign="top" align="center">12.40 &#xb1; 2.49**</td>
<td valign="top" align="center">10.32 &#xb1; 2.19**</td>
<td valign="top" align="center">1.23 &#xb1; 0.20*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">23.98 &#xb1; 5.31*</td>
<td valign="top" align="center">4.75 &#xb1; 0.89**</td>
<td valign="top" align="center">93.36 &#xb1; 15.23*</td>
<td valign="top" align="center">12.88 &#xb1; 3.06*</td>
<td valign="top" align="center">10.94 &#xb1; 1.71*</td>
<td valign="top" align="center">1.07 &#xb1; 0.21**</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="center">35&#xb0;C (<italic>Desiree</italic>)</td>
<td valign="middle" align="center">NT</td>
<td valign="top" align="center">22.75 &#xb1; 5.25</td>
<td valign="top" align="center">4.36 &#xb1; 0.69</td>
<td valign="top" align="center">81.87 &#xb1; 16.79</td>
<td valign="top" align="center">11.72 &#xb1; 2.15</td>
<td valign="top" align="center">9.42 &#xb1; 1.75</td>
<td valign="top" align="center">1.04 &#xb1; 0.18</td>
</tr>
<tr>
<td valign="middle" align="center">OE-3</td>
<td valign="top" align="center">34.30 &#xb1; 5.15**</td>
<td valign="top" align="center">9.93 &#xb1; 1.34***</td>
<td valign="top" align="center">127.04 &#xb1; 18.97***</td>
<td valign="top" align="center">16.10 &#xb1; 2.83*</td>
<td valign="top" align="center">13.33 &#xb1; 2.70*</td>
<td valign="top" align="center">1.51 &#xb1; 0.28*</td>
</tr>
<tr>
<td valign="middle" align="center">OE-6</td>
<td valign="top" align="center">32.16 &#xb1; 6.11*</td>
<td valign="top" align="center">8.94 &#xb1; 1.34*</td>
<td valign="top" align="center">115.22 &#xb1; 17.87*</td>
<td valign="top" align="center">17.05 &#xb1; 3.35**</td>
<td valign="top" align="center">14.17 &#xb1; 2.57**</td>
<td valign="top" align="center">1.69 &#xb1; 0.38**</td>
</tr>
<tr>
<td valign="middle" align="center">OE-7</td>
<td valign="top" align="center">31.01 &#xb1; 5.22*</td>
<td valign="top" align="center">8.58 &#xb1; 1.19*</td>
<td valign="top" align="center">119.86 &#xb1; 27.47**</td>
<td valign="top" align="center">18.86 &#xb1; 3.12***</td>
<td valign="top" align="center">15.26 &#xb1; 2.21***</td>
<td valign="top" align="center">1.75 &#xb1; 0.31***</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-1</td>
<td valign="top" align="center">9.09 &#xb1; 3.19***</td>
<td valign="top" align="center">0.45 &#xb1; 0.08**</td>
<td valign="top" align="center">50.16 &#xb1; 8.81*</td>
<td valign="top" align="center">5.98 &#xb1; 1.38**</td>
<td valign="top" align="center">5.47 &#xb1; 1.13*</td>
<td valign="top" align="center">0.55 &#xb1; 0.11*</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-4</td>
<td valign="top" align="center">13.57 &#xb1; 3.23*</td>
<td valign="top" align="center">0.59 &#xb1; 0.12**</td>
<td valign="top" align="center">49.31 &#xb1; 8.57*</td>
<td valign="top" align="center">6.15 &#xb1; 1.31**</td>
<td valign="top" align="center">4.22 &#xb1; 1.05**</td>
<td valign="top" align="center">0.45 &#xb1; 0.12**</td>
</tr>
<tr>
<td valign="middle" align="center">RNAi-5</td>
<td valign="top" align="center">12.63 &#xb1; 2.65**</td>
<td valign="top" align="center">0.74 &#xb1; 0.10*</td>
<td valign="top" align="center">42.18 &#xb1; 9.45**</td>
<td valign="top" align="center">7.05 &#xb1; 1.21*</td>
<td valign="top" align="center">4.74 &#xb1; 1.12**</td>
<td valign="top" align="center">0.33 &#xb1; 0.11***</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<italic>StWRKY75</italic> modulates growth parameters in potato cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019; under different temperature conditions (20&#xb0;C, 30&#xb0;C, and 35&#xb0;C). In the &#x2018;<italic>Atlantic</italic>&#x2019; cultivar: NT, non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-3, OE-6, and OE-7); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-4 and RNAi-5). In the &#x2018;<italic>Desiree</italic>&#x2019; cultivar: NT, non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-1, OE-2, and OE-4); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-3 and RNAi-4). The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001</italic>) were calculated through ordinary two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>
<italic>StWRKY75</italic> modulates antioxidant enzymes (APX, POD, CAT, SOD) activities, MDA and proline contents in potatoes under heat stress</title>
<p>To assess the hypothesis that <italic>StWRKY75</italic>-overexpressed potato plants of cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and <italic>&#x2018;Desiree&#x2019;</italic> regulate antioxidant metabolism under heat stress, the activities of key antioxidant enzymes, including APX, CAT, POD, and SOD along with the oxidative stress marker MDA and the non-enzymatic osmolyte proline were investigated under varying temperature stress treatments (20&#xb0;C, 30&#xb0;C, and 35&#xb0;C). Under control conditions (20&#xb0;C), no significant differences were observed in APX, CAT, POD, or SOD activities, MDA levels, or proline content between transgenic (<italic>StWRKY75</italic>-overexpressing and RNAi) and NT plants of the potato cultivar &#x2018;<italic>Atlantic</italic>&#x2019; (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A-F</bold>
</xref>). However, when subjected to 30&#xb0;C heat stress, the <italic>StWRKY75</italic>-overexpressing lines (OE-3, OE-6, OE-7) exhibited significantly enhanced activities of APX (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), CAT (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>), POD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), and SOD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>), along with increased proline accumulation (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>). In contrast, RNAi knockdown lines (RNAi-1, RNAi-4, RNAi-5) showed marked reductions in these parameters compared to NT controls. Notably, MDA content, a key indicator of oxidative damage, was significantly lower in <italic>StWRKY75</italic>-overexpressing plants (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>), whereas RNAi lines accumulated higher MDA levels, indicating greater susceptibility to oxidative stress. Under more severe heat stress (35&#xb0;C), <italic>StWRKY75</italic>-overexpressing plants showed significantly greater increases in the activities of APX (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), CAT (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>), POD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), and SOD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>) activities, along with significantly elevated proline content (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>), when compared with NT control plants. Conversely, RNAi lines exhibited further suppression of these physiological indices. The <italic>StWRKY75</italic>-overexpressing lines maintained lower MDA accumulation (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>) at 35&#xb0;C, demonstrating reduced oxidative damage, while RNAi lines showed exacerbated membrane lipid peroxidation due to impaired stress tolerance.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<italic>StWRKY75</italic> modulates potato plants of cultivar &#x2018;<italic>Atlantic</italic>&#x2019;; <bold>(A)</bold> APX, <bold>(B)</bold> CAT, <bold>(C)</bold> POD, <bold>(D)</bold> SOD, <bold>(E)</bold> MDA, and <bold>(F)</bold> proline, after exposure to 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C of heat stress. NT, non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-3, OE-6, and OE-7); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-4 and RNAi-5). The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01</italic>) were calculated through ordinary two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g005.tif">
<alt-text content-type="machine-generated">Bar charts display data on enzyme activity and content in Atlantic samples at different temperatures (20&#xb0;C, 30&#xb0;C, 35&#xb0;C). Panels: A) APX activity, B) CAT activity, C) POD activity, D) SOD activity, E) MDA content, F) Proline content. Different treatments are color-coded: NT (white), OE variations (red shades), RNAi variations (blue shades). Significant differences are marked with asterisks.</alt-text>
</graphic>
</fig>
<p>Similarly, the cultivar <italic>&#x2018;Desiree&#x2019;</italic> displayed comparable responses under high-temperature stress treatments (30&#xb0;C and 35&#xb0;C). Under control conditions (20&#xb0;C), no significant differences were observed among all experimental potato plants for different physiological parameters (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A-F</bold>
</xref>). However, when heat stress treatment was increased (30&#xb0;C), the <italic>StWRKY75</italic>-overexpressing lines (OE-1, OE-2, OE-4) exhibited significantly increased activities of APX (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), CAT (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>), POD (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), and SOD (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>), and higher proline accumulation (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>). In contrast, RNAi-silenced lines (RNAi-1, RNAi-3, RNAi-4) showed a pronounced reduction in these physiological markers. Additionally, the MDA content was significantly lower in <italic>StWRKY75</italic>-overexpressing lines (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>), whereas RNAi lines exhibited higher MDA levels compared to NT control lines. Under severe heat stress conditions (35&#xb0;C), all experimental lines exhibited exacerbated physiological damage. However, the <italic>StWRKY75</italic>-overexpressing line demonstrated significantly enhanced enzymatic activity of key antioxidant enzymes, including APX (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), CAT (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>), POD (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), and SOD (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>), as well as elevated proline level (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>). In contrast, <italic>StWRKY75</italic> RNA interference (RNAi) lines exhibited a noticeable decline in these physiological parameters compared to NT plants. Likewise, the <italic>StWRKY75</italic>-overexpressing lines showed declined MDA levels (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>), and the opposite was true for <italic>StWRKY75</italic>-knockdown lines than those in NT potato lines. These findings suggest that <italic>StWRKY75</italic> plays a critical regulatory role in enhancing thermotolerance by modulating antioxidant defense mechanisms and osmoprotectant synthesis under extreme heat stress conditions.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<italic>StWRKY75</italic> modulates potato plants of cultivar &#x2018;<italic>Desiree</italic>&#x2019;; <bold>(A)</bold> APX, <bold>(B)</bold> CAT, <bold>(C)</bold> POD, <bold>(D)</bold> SOD, <bold>(E)</bold> MDA, and <bold>(F)</bold> proline, after exposure to 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C of heat stress. NT, non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-1, OE-2, and OE-4); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-3 and RNAi-4). The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01</italic>) were calculated through ordinary two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g006.tif">
<alt-text content-type="machine-generated">Bar graphs labeled A to F compare enzyme activities and content levels in different genetic variants under varying temperatures. A: APX activity; B: CAT activity; C: POD activity; D: SOD activity; E: MDA content; F: Proline content. Each graph shows data for temperatures of 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C across different treatments: NT, OE-1, OE-2, OE-4, RNAi-1, RNAi-3, RNAi-4. Bars are color-coded and error bars indicate variability. Statistical significance is noted with asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>
<italic>StWRKY75</italic> regulates the stress-responsive genes in potatoes under heat stress</title>
<p>To investigate the genetic regulatory networks and biochemical mechanisms underlying heat stress adaptation in two distinct potato cultivars, &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019;, this study systematically analyzed the expression profiles of key stress-responsive genes (including <italic>StAPX</italic>, <italic>StCAT</italic>, <italic>StSOD</italic>, <italic>StPOD</italic>, <italic>StP5CS</italic>, <italic>StHSP20</italic>, <italic>StHSP70</italic>, and <italic>StHSP90</italic>) across all transgenic and NT lines under different heat stress treatments (20&#xb0;C, 30&#xb0;C, and 35&#xb0;C). The research aimed to comprehensively evaluate the differential regulation of antioxidant enzyme-related genes, proline biosynthesis-related genes, and heat shock-related genes under escalating temperature stress, thereby elucidating the genetic basis of <italic>StWRKY75</italic>-mediated thermotolerance.</p>
<p>Under control conditions (20&#xb0;C), no significant differential expression was observed for any of the assessed stress-responsive genes (<italic>StAPX</italic>, <italic>StCAT</italic>, <italic>StSOD</italic>, <italic>StPOD</italic>, <italic>StP5CS</italic>, <italic>StHSP20</italic>, <italic>StHSP70</italic>, and <italic>StHSP90</italic>) in &#x2018;<italic>Atlantic</italic>&#x2019; potato plants (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A-H</bold>
</xref>). However, when temperature was increased to 30&#xb0;C, <italic>StWRKY75</italic>-overexpressing plants (OE-3, OE-6, OE-7) showed significant upregulation in transcript levels of <italic>StAPX</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>), <italic>StCAT</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), <italic>StSOD</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>), <italic>StPOD</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>), <italic>StP5CS</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>), <italic>StHSP20</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7F</bold>
</xref>), <italic>StHSP70</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7G</bold>
</xref>), and <italic>StHSP90</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7H</bold>
</xref>), while <italic>StWRKY75</italic> RNA interference lines (RNAi-1, RNAi-4, RNAi-5) exhibited marked downregulation compared to NT controls. This differential expression pattern became more pronounced under 35&#xb0;C heat stress, with <italic>StWRKY75</italic>-overexpressing lines showing extremely significant upregulation of these stress-responsive genes relative to NT plants. Conversely, all target gene expressions were suppressed in <italic>StWRKY75</italic> knockdown plants. Similarly, under standard growth conditions (20&#xb0;C), the &#x2018;<italic>Desiree</italic>&#x2019; cultivar maintained stable transcriptional levels of these key stress-responsive genes across NT and transgenic lines without significant differences (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A-H</bold>
</xref>). At 30&#xb0;C heat stress, however, <italic>StWRKY75</italic>-overexpressing lines (OE-1, OE-2, OE-4) demonstrated significant upregulation of antioxidant genes [<italic>StAPX</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8A</bold>
</xref>), <italic>StCAT</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), <italic>StSOD</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>), <italic>StPOD</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8D</bold>
</xref>)], the proline biosynthesis gene <italic>StP5CS</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8E</bold>
</xref>), and heat shock protein genes [<italic>StHSP20</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8F</bold>
</xref>), <italic>StHSP70</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8G</bold>
</xref>), <italic>StHSP90</italic> (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8H</bold>
</xref>)]. In contrast, these stress-responsive genes were significantly suppressed in <italic>StWRKY75</italic> knockdown lines (RNAi-1, RNAi-3, RNAi-4) compared to NT plants. Elevated temperatures intensified these transcriptional responses, with the most prominent differential expression observed at 35&#xb0;C. At this threshold, <italic>StWRKY75</italic>-overexpressing plants maintained strong upregulation of all stress-related genes (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A-H</bold>
</xref>), while RNAi lines showed progressively declining expression profiles. These findings robustly demonstrate that <italic>StWRKY75</italic> functions as a central transcriptional regulator during thermal adaptation, coordinating the upregulation of these genes (<italic>StAPX</italic>, <italic>StCAT</italic>, <italic>StSOD</italic>, <italic>StPOD</italic>, <italic>StP5CS</italic>, <italic>StHSP20</italic>, <italic>StHSP70</italic>, and <italic>StHSP90</italic>) to enhance potato thermotolerance.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>
<italic>StWRKY75</italic> regulates the relative mRNA expression of potato plants of cultivar &#x2018;<italic>Atlantic</italic>&#x2019;; <bold>(A)</bold> <italic>StAPX</italic>, <bold>(B)</bold> <italic>StCAT</italic>, <bold>(C)</bold> <italic>StSOD</italic>, <bold>(D)</bold> <italic>StPOD</italic>, <bold>(E)</bold> <italic>StP5CS</italic>, <bold>(F)</bold> <italic>StHSP20</italic>, <bold>(G)</bold> <italic>StHSP70</italic>, and <bold>(H)</bold> <italic>StHSP90</italic>, after exposure to 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C of heat stress. NT, non-transgenic plants; OE, pBI121-StWRKY75-transgenic plants (OE-3, OE-6, and OE-7); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-4, and RNAi-5). The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001</italic>) were calculated through ordinary two-way ANOVA followed by the Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g007.tif">
<alt-text content-type="machine-generated">Bar charts labeled A to H show relative mRNA expression levels of different genes in Atlantic samples at temperatures 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C. Each chart compares expression across different treatments: NT, OE-3, OE-6, OE-7, RNAi-1, RNAi-4, and RNAi-5. Charts indicate a general increase in expression at higher temperatures, with variances across treatments. Significant differences are marked with asterisks. ***P &lt; 0.001.</alt-text>
</graphic>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>
<italic>StWRKY75</italic> regulates the relative mRNA expression of potato plants of cultivar &#x2018;<italic>Desiree</italic>&#x2019;; <bold>(A)</bold> <italic>StAPX</italic>, <bold>(B)</bold> <italic>StCAT</italic>, <bold>(C)</bold> <italic>StSOD</italic>, <bold>(D)</bold> <italic>StPOD</italic>, <bold>(E)</bold> <italic>StP5CS</italic>, <bold>(F)</bold> <italic>StHSP20</italic>, <bold>(G)</bold> <italic>StHSP70</italic>, and <bold>(H)</bold> <italic>StHSP90</italic>, after exposure to 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C of heat stress. NT, non-transgenic plants; OE, pBI121-StWRKY75-transgenic plants (OE-1, OE-2, and OE-4); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-3, and RNAi-4). The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001</italic>) were calculated through ordinary two-way ANOVA followed by the Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g008.tif">
<alt-text content-type="machine-generated">Bar charts labeled A to H show the relative mRNA expression levels of various genes (StAPX, StCAT, StSOD, StPOD, StP5CS, StHSP20, StHSP70, StHSP90) under different conditions (NT, OE, RNAi)at temperatures 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C for the Desiree variety. Expression generally increases with higher temperatures. Error bars indicate variability. ***P &lt; 0.001.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>
<italic>StWRKY75</italic> regulates gas exchange traits of potatoes under heat stress</title>
<p>Under high-temperature stress regimes (30&#xb0;C and 35&#xb0;C), key photosynthetic parameters, including Pn, Gs, and E, were measured. Under control conditions (20&#xb0;C), no significant differences were observed in gas exchange parameters between transgenic and NT plants of both &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019; potato cultivars (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A-F</bold>
</xref>). However, at 30&#xb0;C, <italic>StWRKY75</italic>-overexpressing lines in both cultivars exhibited significantly enhanced photosynthetic rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A, B</bold>
</xref>), transpiration rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9C, D</bold>
</xref>), and stomatal conductance (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9E, F</bold>
</xref>) compared to NT plants. Conversely, <italic>StWRKY75</italic>-knockdown lines showed reduced photosynthetic performance. Under severe heat stress (35&#xb0;C), growth inhibition was observed in all potato plants due to thermal damage. Nevertheless, <italic>StWRKY75</italic>-overexpressing lines maintained significantly higher photosynthetic rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A, B</bold>
</xref>), transpiration rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9C, D</bold>
</xref>), and stomatal conductance (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9E, F</bold>
</xref>) compared to NT controls in both cultivars. In contrast, <italic>StWRKY75</italic>-knockdown plants displayed markedly reduced gas exchange parameters relative to NT lines, demonstrating the crucial regulatory role of <italic>StWRKY75</italic> in maintaining photosynthetic performance under heat stress.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>
<italic>StWRKY75</italic> regulates the gas exchange parameters of potato plants of cultivars, &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019;; <bold>(A, B)</bold> photosynthetic rates, <bold>(C, D)</bold> transpiration rates, and <bold>(E, F)</bold> stomatal conductance, respectively, after exposure to 20&#xb0;C, 30&#xb0;C, and 35&#xb0;C of heat stress. In the &#x2018;<italic>Atlantic</italic>&#x2019; cultivar: NT: non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-3, OE-6, and OE-7); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-4 and RNAi-5). In the &#x2018;<italic>Desiree</italic>&#x2019; cultivar: NT: non-transgenic plants; OE, pBI121-EGFP-StWRKY75-transgenic plants (OE-1, OE-2, and OE-4); RNAi, pART-StWRKY75-RNAi-transgenic plants (RNAi-1, RNAi-3 and RNAi-4).The data are presented as mean &#xb1; standard deviation. P-values (<italic>*P &lt; 0.05, **P &lt; 0.01</italic>) were calculated through ordinary two-way ANOVA followed by the Tukey&#x2019;s multiple comparisons test with a sample size of n = 9.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1617625-g009.tif">
<alt-text content-type="machine-generated">Bar graphs showing net photosynthetic rate, transpiration rate, and stomatal conductance in Atlantic and Desiree plants at temperatures of 20, 30, and 35 degrees Celsius. Graphs A and B depict net photosynthetic rates; C and D show transpiration rates; E and F illustrate stomatal conductance. Different treatments such as NT, OE, and RNAi are represented with varying colors. Error bars indicate variability, and asterisks denote significance.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Several WRKY TFs have been extensively studied in plants under heat stress conditions (<xref ref-type="bibr" rid="B12">Ding et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B55">Yang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Liu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B56">Yang et&#xa0;al., 2025</xref>). However, there is a lack of comprehensive research on how WRKY TFs regulate heat stress responses in potatoes. The sequence alignment demonstrated that StWRKY75 harbors the highly conserved WRKYGQK domain at the N-terminus, followed by a C<sub>2</sub>H<sub>2</sub> zinc-finger motif (CX<sub>5</sub>-C-X<sub>23</sub>-H-X<sub>1</sub>-H), a characteristic feature of Group II WRKY TFs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Phylogenetic analysis classified the examined plant species into different clusters, with members within the same cluster exhibiting sequence homology and functional conservation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). These findings align with prior research on ZmWRKY106, which shares a 28.47% mean sequence identity with its orthologs in rice (<italic>Oryza sativa</italic>), <italic>Arabidopsis</italic> (<italic>Arabidopsis thaliana</italic>), and barley (<italic>Hordeum vulgare</italic>). Like StWRKY75, ZmWRKY106 possesses the conserved WRKYGQK domain and C<sub>2</sub>H<sub>2</sub> zinc-finger motif, further supporting its classification within Group II. However, sequences outside these conserved regions exhibited significant divergence. Phylogenetic analysis indicated that ZmWRKY106 is most closely related to OsWRKY13 (61% bootstrap support) and HvWRKY39 (100% bootstrap support), suggesting evolutionary and functional conservation among these orthologs (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2018</xref>). Furthermore, through differential expression analysis under various heat stress conditions (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>), we confirmed that <italic>StWRKY75</italic> was significantly induced under elevated temperatures (30&#xb0;C and 35&#xb0;C), suggesting its crucial functional role in heat stress response. To further understand the response of WRKY TFs to heat stress, the expression patterns of <italic>AtWRKY25</italic>, <italic>AtWRKY26</italic>, and <italic>AtWRKY33</italic> were analyzed in <italic>Arabidopsis thaliana</italic> using qRT-PCR following heat stress treatments at 42, 45, and 48&#xb0;C. The results demonstrated that <italic>AtWRKY25</italic> and <italic>AtWRKY26</italic> were induced at 45&#xb0;C and 48&#xb0;C, with expression profiles similar to those observed at 42&#xb0;C. However, the fold-induction of <italic>AtWRKY26</italic> in the wild type was consistently lower than that of <italic>AtWRKY25</italic> at each time point following exposure to different high temperatures. In contrast, the expression of <italic>AtWRKY33</italic> steadily decreased under heat stress, highlighting the distinct regulatory responses of these WRKY TFs to high temperatures (<xref ref-type="bibr" rid="B32">Li et&#xa0;al., 2011</xref>). Earlier investigations revealed differential expression patterns of <italic>BcWRKY22</italic> in various Chinese cabbage tissues (roots, stems, leaves) when exposed to heat stress. The results revealed that <italic>BcWRKY22</italic> exhibited higher expression levels in roots and stems compared to leaves, with the highest expression observed in roots under heat stress. The qRT-PCR results indicated a prompt increase in <italic>BcWRKY22</italic> mRNA accumulation in foliar tissues 1 hour and in roots 3 hours after heat shock (HS) induction. Notably, high expression levels were maintained in both tissues even 24 hours after HS, compared to the control condition at 24&#xb0;C (<xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2023</xref>). Consistent with these findings, our study demonstrated a similar research trend with different heat ingredients (30&#xb0;C and 35&#xb0;C), where the highest expression levels of <italic>StWRKY75</italic> were detected in leaves of cultivars &#x2018;<italic>Atlantic</italic>&#x2019; and &#x2018;<italic>Desiree</italic>&#x2019; at 48 hours after heat stress treatments, as shown in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f3">
<bold>3C, D</bold>
</xref>.</p>
<p>Prior studies demonstrated that WRKY TFs mostly possess nuclear localization signals (NLS), enabling their translocation into the nucleus, and interact with DNA to regulate gene expression (<xref ref-type="bibr" rid="B29">Jiang et&#xa0;al., 2017</xref>). To further confirm the subcellular localization of WRKY proteins, a PEG-mediated transient expression system was employed in <italic>Zea mays</italic> mesophyll protoplasts using the vector p16318h-ZmWRKY106. Confocal laser scanning microscopy revealed that the p16318h-ZmWRKY106 fusion protein was predominantly localized in the nucleus after an 18-hour incubation in the dark, whereas the control vector (EGFP) exhibited fluorescence in the membrane, cytoplasm, and nucleus (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2018</xref>). Similarly, in this study, the subcellular localization of StWRKY75 in potato was investigated under heat stress. Green fluorescent protein (GFP) signals indicated that the StWRKY75 transcription factor was localized to the nucleus, consistent with its role as a transcriptional regulator. In contrast, the control vector (GFP) displayed fluorescence in the membrane, cytoplasm, and nucleus (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Growth indicators, including plant height, tuber weights, shoot and root fresh and dry weights, leaf number, leaf area, root length, and total biomass, are critical parameters for evaluating the impact of abiotic stress and understanding plant adaptive mechanisms under unfavorable environmental conditions (<xref ref-type="bibr" rid="B38">Pandey et&#xa0;al., 2017</xref>). In the present study, under heat stress, <italic>StWRKY75</italic>-overexpression lines demonstrated enhanced growth across multiple indices, including plant height, tuber weight per plant, total fresh and dry weights, as well as root fresh and dry weights, relative to the NT potato lines. Conversely, RNAi-mediated gene silencing resulted in the opposite trend, as shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. These findings align with previous research, which demonstrated that overexpression of <italic>AtWRKY30</italic> in wheat enhances growth and biomass accumulation under heat and drought stresses. Specifically, under combined heat and drought conditions, both transformed and wild-type plants exhibited reductions in growth indicators, such as shoot fresh weight, shoot length, root fresh weight, and root length, compared to optimal growth conditions. However, <italic>AtWRKY30-</italic>overexpressing wheat plants exhibited significant improvements in growth and biomass parameters relative to wild-type plants under these stresses, highlighting the role of <italic>AtWRKY30</italic> in enhancing stress resilience and promoting root and shoot development (<xref ref-type="bibr" rid="B16">El-Esawi et&#xa0;al., 2019</xref>).</p>
<p>Plants have developed sophisticated biochemical defense systems involving antioxidant enzymes (APX, SOD, CAT, POD) to combat environmental stresses. The activity levels of these enzymes, together with oxidative markers including MDA and H<sub>2</sub>O<sub>2</sub>, serve as dependable biomarkers of plant stress responses. Increased enzymatic activity of APX, SOD, CAT, and POD coupled with decreased accumulation of MDA and H<sub>2</sub>O<sub>2</sub> demonstrates enhanced oxidative defense mechanisms and greater stress adaptation capacity (<xref ref-type="bibr" rid="B41">Rajput et&#xa0;al., 2021</xref>). Under harsh environmental conditions, plant cells exhibit marked elevation in ROS production, particularly O<sub>2</sub>
<sup>-</sup>, H<sub>2</sub>O<sub>2</sub>, and HO<sup>-</sup>. The potent oxidative capacity of these molecules facilitates deleterious interactions with essential cellular constituents, resulting in the degradation of lipids, alteration of protein structures, and nucleic acid lesions that collectively compromise cell viability (<xref ref-type="bibr" rid="B18">Garc&#xed;a-Caparr&#xf3;s et&#xa0;al., 2021</xref>). As an important osmolyte, proline contributes significantly to ROS detoxification and improves plant resilience against multiple abiotic stressors (<xref ref-type="bibr" rid="B25">Hayat et&#xa0;al., 2012</xref>). Results from this investigation confirmed the functional role of the <italic>StWRKY75</italic> TF in modulating oxidative stress defense mechanisms across two commercially significant potato cultivars (<italic>Solanum tuberosum</italic> L. cultivars; &#x2018;<italic>Atlantic</italic>&#x2019; and <italic>&#x2018;Desiree&#x2019;</italic>) under differential heat stress treatments (20&#xb0;C as the control and 30&#xb0;C/35&#xb0;C as heat stress treatments). Under control conditions, all tested plants (transgenic and NT) remained unchanged. Under varying heat stress conditions, <italic>StWRKY75</italic>-overexpressing plants exhibited enhanced activities of APX (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6A</bold>
</xref>), CAT (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6B</bold>
</xref>), POD (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6C</bold>
</xref>), and SOD (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6D</bold>
</xref>), as well as increased proline content (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6E</bold>
</xref>), compared to non-transformed (NT) and RNA interference (RNAi) plants showed opposite outcomes. Additionally, <italic>StWRKY75-</italic>overexpressing plants displayed significantly reduced levels of MDA (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6F</bold>
</xref>) under heat stress, indicating lower oxidative damage. In contrast, RNAi plants exhibited increased oxidative damage due to the downregulation of <italic>StWRKY75</italic>. The experimental data validate prior research, which demonstrated that overexpression of <italic>ZmWRKY106</italic> in maize enhanced antioxidant enzyme activities (SOD, POD, and CAT) and reduced ROS levels under drought and heat stress, thereby improving abiotic tolerance (<xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2018</xref>). While the current study focused on heat stress (30&#xb0;C and 35&#xb0;C) rather than drought stress, the results align with earlier findings, highlighting the conserved role of WRKY TFs in enhancing antioxidant defense mechanisms under abiotic stress.</p>
<p>Furthermore, we analyzed the expression of stress-responsive genes, including <italic>StAPX</italic>, <italic>StSOD</italic>, <italic>StCAT</italic>, <italic>StPOD</italic>, <italic>StP5SC</italic>, <italic>StHSP20</italic>, <italic>StHSP70</italic>, and <italic>StHSP90</italic> in two potato cultivars, &#x2018;<italic>Atlantic</italic>&#x2019; and <italic>&#x2018;Desiree&#x2019;</italic>, <italic>StWRKY75</italic>-overexpressing and RNAi plants under varying degrees of heat stress treatments (30&#xb0;C and 35&#xb0;C). No differential expression of stress-related genes was observed under control conditions (20&#xb0;C) (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8</bold>
</xref>). The relative mRNA expression analysis revealed significant upregulation of StAPX (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8A</bold>
</xref>), <italic>StCAT</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8C</bold>
</xref>), <italic>StSOD</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8C</bold>
</xref>), <italic>StPOD</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8D</bold>
</xref>), <italic>StP5SC</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8E</bold>
</xref>), <italic>StHSP20</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8F</bold>
</xref>), <italic>StHSP70</italic> and (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8G</bold>
</xref>), <italic>StHSP90</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8H</bold>
</xref>) in <italic>StWRKY75-</italic>overexpressing plants, while these genes were downregulated in RNAi plants after heat stress treatments. These results suggest that <italic>StWRKY75</italic> plays a pivotal role in modulating the transcriptional cascade of stress-responsive genes, thereby enhancing heat tolerance in potato plants. Similar trends were observed in a previous study on drought stress in <italic>Arabidopsis</italic>, where overexpression of <italic>TaWRKY31</italic> upregulated genes involved in osmotic adjustment and ROS scavenging, including <italic>AtNCED3, AtABA2, AtSnRK2.2, AtABI1, AtABF3, AtP5CS1, AtSOD(Cu/Zn), AtPOD, AtCAT, AtRD29A</italic>, and <italic>AtRD29B</italic> (<xref ref-type="bibr" rid="B21">Ge et&#xa0;al., 2024</xref>). Our study only analyzed the antioxidant-related and proline biosynthesis-related stress-responsive genes under heat stress. These data collectively underscore how WRKY TFs contribute to stress tolerance by optimizing ROS-scavenging enzymes and regulating key stress-associated genes. Heat shock proteins (HSPs) are evolutionarily conserved molecular chaperones that enhance stress adaptation by maintaining protein homeostasis under abiotic stresses, including heat, drought, and salinity (<xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2022</xref>). The current research showed an upregulation in heat shock protein-related genes, including <italic>StHSP20</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8F</bold>
</xref>), <italic>StHSP70</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8G</bold>
</xref>), and <italic>StHSP90</italic> (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8H</bold>
</xref>) in <italic>StWRKY75</italic>-overexpressing lines, which showed consistency with a previous report. The overexpression of <italic>PtWRKY2</italic> significantly reduced ROS accumulation through enhanced enzymatic activity of key antioxidant enzymes related genes, including catalase-1 (<italic>CAT1</italic>), superoxide dismutase-1 (<italic>SOD1</italic>), and peroxidase-34 (<italic>POD34</italic>). Additionally, transcript levels of heat shock-associated genes (<italic>HSP70</italic>, <italic>HSP17.4</italic>) were markedly elevated in transgenic <italic>Arabidopsis</italic> lines (<xref ref-type="bibr" rid="B33">Liu et&#xa0;al., 2024</xref>). These findings demonstrate that <italic>PtWRKY2</italic> orchestrates a coordinated upregulation of thermotolerance-related genes, enhancing both protein homeostasis and oxidative stress mitigation under heat stress conditions. Another study described that the <italic>WRKY25</italic> knockdown slightly increased HSP20 expression, whereas <italic>WRKY33</italic> knockdown markedly enhanced it in cotton (<xref ref-type="bibr" rid="B15">Ehsan et&#xa0;al., 2023</xref>).</p>
<p>Heat stress has a significant impact on photosynthesis, which is a critical physiological process in plants. The influence of high temperatures on photosynthesis parameters (Pn, Gs, and E) can vary depending on the intensity and duration of the heat, as well as the plant species and their ability to tolerate high temperatures. Additionally, heat stress negatively impacts photosynthesis by reducing the efficiency of light capture, impairing carbon fixation, increasing photorespiration, and causing oxidative damage (<xref ref-type="bibr" rid="B58">Zahra et&#xa0;al., 2023</xref>). Our investigation demonstrated that under varying degrees of heat stress conditions (20&#xb0;C, 30&#xb0;C, and 35&#xb0;C), transgenic plants overexpressing <italic>StWRKY75</italic> exhibited significantly enhanced photosynthetic rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A, B</bold>
</xref>), transpiration rate (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9C, D</bold>
</xref>), and stomatal conductance (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9E, F</bold>
</xref>) compared to the NT control plants. Conversely, plants with <italic>StWRKY75</italic> knockdown expression displayed the opposite phenotypic trends. These findings provide evidence for the regulatory role of <italic>StWRKY75</italic> in modulating physiological responses under heat stress, thereby confirming its transcriptional regulatory function. In peanut (<italic>Arachis hypogaea</italic>), gas exchange parameters (Pn, Gs, and E) were significantly elevated in <italic>AhWRKY75</italic> transgenic lines compared to NT control plants under salt stress conditions. Conversely, the intercellular CO<sub>2</sub> concentration (Ci) was significantly lower in the transgenic plants relative to the controls (<xref ref-type="bibr" rid="B60">Zhu et&#xa0;al., 2021</xref>). Our current investigation demonstrated a comparable trend concerning Pn, Gs, and E; however, the key distinction lies in the application of different abiotic stress conditions. This suggests that <italic>StWRKY75</italic> overexpression may confer enhanced photosynthetic performance and stomatal regulation across diverse stress environments, justifying further exploration into its role in plant stress tolerance mechanisms.</p>
<p>Although the critical role of <italic>StWRKY75</italic> in potato heat stress response has been validated through transgenic approaches in this study, several limitations remain to be addressed in future research: Potential functional redundancy among WRKY transcription factor family members: Other homologous genes may partially compensate for <italic>StWRKY75</italic> deficiency, possibly resulting in less pronounced phenotypic changes in RNAi lines. Future studies should employ multiplex gene knockout (CRISPR-Cas9 genome editing) or protein interaction analyses (such as yeast two-hybrid, BIFC, and Co-IP) to verify gene interaction networks. Lack of field validation: Controlled laboratory conditions (e.g., constant temperature, artificial lighting) cannot fully simulate complex field stress conditions. Subsequent multi-year and multi-location field trials under natural conditions, combined with climate data analysis, are required to evaluate the agronomic value of this gene. While <italic>StWRKY75</italic> was identified as a central regulator of antioxidant enzymes and HSPs in thermotolerance, its direct target genes remain unverified. Additional experiments, including chromatin immunoprecipitation sequencing (ChIP-seq), yeast one-hybrid assay, and electrophoretic mobility shift assay (EMSA), should be conducted to identify DNA binding sites and further elucidate the downstream molecular mechanisms of heat tolerance. Sampling only at 48 hours after stress treatment may miss early responses (such as ROS burst within 0&#x2013;48 hours) and long-term adaptation to heat stress. Additional sampling time points should be included to avoid insufficient dynamic monitoring of relevant physiological indicators.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates that StWRKY75, a nuclear-localized Group II WRKY transcription factor, plays a pivotal role in potato thermotolerance. Overexpression of <italic>StWRKY75</italic> significantly enhances thermotolerance by elevating the activities of antioxidant enzymes (APX, CAT, POD, SOD), increasing proline accumulation, optimizing photosynthetic parameters (photosynthesis, transpiration, stomatal conductance), and reducing MDA accumulation. Concurrently, <italic>StWRKY75</italic> upregulates key stress-responsive genes, including <italic>StAPX</italic>, <italic>StCAT</italic>, <italic>StPOD</italic>, <italic>StSOD</italic>, <italic>StP5CS</italic>, and heat shock protein coding genes (<italic>StHSP20</italic>, <italic>StHSP70</italic>, <italic>StHSP90</italic>). Conversely, <italic>StWRKY75</italic>-knockdown plants exhibit compromised thermotolerance with opposing physiological trends. These findings highlight <italic>StWRKY75</italic> as a strategic target for molecular breeding to improve heat resilience in potato and related crops, offering a sustainable solution to mitigate climate change impacts on agricultural productivity.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YM: Formal analysis, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Methodology, Validation, Visualization, Investigation, Conceptualization. XZ: Visualization, Resources, Conceptualization, Writing &#x2013; original draft, Formal analysis, Methodology, Validation, Supervision, Data curation, Investigation, Software, Writing &#x2013; review &amp; editing. XD: Writing &#x2013; review &amp; editing, Data curation, Formal analysis, Visualization. JL: Writing &#x2013; review &amp; editing, Visualization, Formal analysis, Methodology, Data curation. NG: Formal analysis, Visualization, Methodology, Data curation, Conceptualization, Writing &#x2013; review &amp; editing. HZh: Data curation, Writing &#x2013; review &amp; editing, Methodology, Conceptualization, Formal analysis, Visualization. HZo: Methodology, Conceptualization, Data curation, Investigation, Writing &#x2013; review &amp; editing, Visualization, Formal analysis. HJ: Data curation, Methodology, Visualization, Validation, Conceptualization, Investigation, Writing &#x2013; review &amp; editing, Software. ZC: Data curation, Visualization, Conceptualization, Writing &#x2013; review &amp; editing, Methodology. YZ: Supervision, Software, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Investigation, Funding acquisition, Conceptualization, Visualization, Project administration, Validation, Resources.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This Research Program was financially supported by the National Natural Science Foundation of China (Grant No. 32360459), the Natural Science Foundation of Guangdong Province, China (Grant No. 2024A1515010068), and the Hainan Provincial Natural Science Foundation of China (Grant No. 322MS116, 323MS095, 324MS098).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Professor Si Huaijun and Professor Zhang Ning from the State Key Laboratory of Aridland Crop Science and the Life Science and Technology, Gansu Agricultural University, for their guidance and assistance in experimental techniques. Additionally, we would like to express our appreciation to Rongkai Wang (Bioediates, Shaanxi, China) for providing the plasmids pBI121-EGFP, pHANNI-BAL, and pART, as well as the construction of overexpression vectors and RNA interference expression vectors.</p>
</ack>
<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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" 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="s12" 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.2025.1617625/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1617625/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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