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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.2025.1642230</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>Microalgae enhance cadmium accumulation in <italic>Perilla frutescens</italic>: root structural adaptation and secretion-mediated detoxification</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Ying</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2886418/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Yuying</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jinfeng</given-names>
</name>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Hui</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Yumeng</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yuanyuan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/532224/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Juan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/719909/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pang</surname>
<given-names>Xiaohui</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/232082/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/636279/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Han</surname>
<given-names>Jianping</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/189310/overview"/>
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</contrib-group>
<aff id="aff1">
<institution>Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences &amp; Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/407385/overview">Ligeng Ma</ext-link>, Capital Normal University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/341093/overview">Songlin Ruan</ext-link>, Hangzhou Academy of Agricultural Sciences, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/773554/overview">Yunhua Zhang</ext-link>, Anhui Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zheng Zhang, <email xlink:href="mailto:zhangzheng321@126.com">zhangzheng321@126.com</email>; Jianping Han, <email xlink:href="mailto:happymyra2007@163.com">happymyra2007@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1642230</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ren, Su, Li, Zhang, Yang, Li, Chen, Pang, Zhang and Han.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ren, Su, Li, Zhang, Yang, Li, Chen, Pang, Zhang and Han</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Cadmium (Cd) phytoremediation is often constrained by the low accumulation capacity and limited stress tolerance of most plant species. Developing approaches to overcome these limitations is essential for more efficient phytoremediation.</p>
</sec>
<sec>
<title>Methods</title>
<p>The effect of microalgae supplementation on Cd phytoextraction in <italic>Perilla frutescens</italic> was evaluated under Cd stress, with plant growth, Cd accumulation, and root physiological, structural, and metabolic responses examined to elucidate the underlying mechanisms.</p>
</sec>
<sec>
<title>Results</title>
<p>Microalgae supplementation significantly enhanced total plant biomass by 37.43% while increasing Cd accumulation by 20.72% in roots, 25.87% in stems, and 112.29% in leaves relative to Cd-only treatment. These improvements were closely associated with microalgae-induced physiological adaptations in roots, characterized by elevated peroxidase activity, reduced superoxide anion generation, and mitigated lipid peroxidation. Microalgae treatment also promoted Cd retention in root cell walls, with hemicellulose I showing a 166.37% increase in Cd binding (<italic>p</italic> &lt; 0.05). Ultrastructural and spectroscopic analyses indicated that this enhancement likely stems from optimized root cell wall structure and increased functional group activity. Additionally, microalgae dramatically altered root exudate composition, increasing secretion of metal-chelating and antioxidant compounds such as ferulic acid, artemisinic acid, and dihydroartemisinin, whose concentrations were positively correlated with plant Cd accumulation.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings indicate that microalgae enhanced Cd phytoextraction in <italic>Perilla frutescens</italic> through modulation of root structural and metabolic traits, leading to enhanced Cd accumulation and tolerance. Microalgae-assisted phytoremediation may thus provide a viable strategy for remediating Cd-contaminated environments.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<italic>Perilla frutescens</italic>
</kwd>
<kwd>phytoremediation</kwd>
<kwd>microalgae</kwd>
<kwd>cadmium</kwd>
<kwd>root exudates</kwd>
</kwd-group>
<contract-sponsor id="cn001">Chinese Academy of Medical Sciences Initiative for Innovative Medicine<named-content content-type="fundref-id">10.13039/501100019018</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="3"/>
<ref-count count="118"/>
<page-count count="18"/>
<word-count count="9955"/>
</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>Cadmium (Cd) contamination of soils has become a pressing environmental issue worldwide due to its persistence in ecosystems and potential threats to food safety (<xref ref-type="bibr" rid="B49">Li et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B51">Liang et&#xa0;al., 2024</xref>). Phytoremediation using hyperaccumulator plants presents an eco-friendly and cost-effective solution, yet its widespread application faces two key constraints: limited biomass production under heavy metal stress and inadequate metal accumulation efficiency in many species (<xref ref-type="bibr" rid="B41">Kafle et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B49">Li et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B76">Ren et&#xa0;al., 2024</xref>). <italic>Perilla frutescens</italic> has emerged as a promising candidate for Cd phytoremediation owing to its relatively high biomass and efficient Cd uptake (<xref ref-type="bibr" rid="B75">Reeves et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B106">Xiao et&#xa0;al., 2020</xref>). Importantly, Cd tends to accumulate in non-volatile forms in plants, minimizing contamination risks in essential oil extracts of <italic>Perilla frutescens</italic>, thereby enabling simultaneous phytoremediation and safe resource utilization (<xref ref-type="bibr" rid="B106">Xiao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B48">Li Z. et&#xa0;al., 2024</xref>). However, maximizing its remediation potential requires a deeper understanding of the physiological mechanisms governing Cd uptake and tolerance.</p>
<p>Roots play a pivotal role in plant Cd sensing, uptake, and detoxification (<xref ref-type="bibr" rid="B91">Tao et&#xa0;al., 2020a</xref>). To cope with Cd stress, it has developed multiple adaptative strategies, among which cell wall sequestration is particularly important at the initial stage of metal entry (<xref ref-type="bibr" rid="B93">Thomas and Reid, 2021</xref>; <xref ref-type="bibr" rid="B49">Li et&#xa0;al., 2023</xref>). The Cd-binding capacity of the root cell wall is primarily determined by its polysaccharide components, particularly hemicellulose and pectin (<xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B54">Lin et&#xa0;al., 2024</xref>). For instance, in ramie, Cd bound to hemicellulose accounts for approximately 60% of the total Cd retained in the root cell wall (<xref ref-type="bibr" rid="B59">Ma et&#xa0;al., 2022</xref>). Likewise, <xref ref-type="bibr" rid="B114">Yu et&#xa0;al. (2020)</xref> reported that 59-65% of Cd in rice root cell walls was bound to pectin, and pectin removal reduced Cd binding by approximately 50%. Cd exposure typically induces the accumulation of these polysaccharide components and promotes their structural modifications such as pectin demethylesterification, which increases the number of negatively charged functional groups available for Cd binding (<xref ref-type="bibr" rid="B32">Guo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B35">Hassan et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B80">Saeed et&#xa0;al., 2024</xref>). Such alterations enhance the Cd retention capacity of the cell wall and contribute to detoxification processes. Additionally, roots release a variety of metabolites such as organic acids and flavonoids that modulate Cd speciation and mobility in the rhizosphere (<xref ref-type="bibr" rid="B63">Meychik et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B1">Agarwal et&#xa0;al., 2024</xref>; Li et&#xa0;al., 2024; <xref ref-type="bibr" rid="B107">Xie et&#xa0;al., 2024</xref>). In <italic>Sedum alfredii</italic>, the secretion of low-molecular-weight organic acids such as tartaric and oxalic acids has been shown to facilitate Cd uptake by increasing its solubility and bioavailability (<xref ref-type="bibr" rid="B90">Tao et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B92">Tao et&#xa0;al., 2020b</xref>). These exudates also play a role in shaping microbial communities and nutrient dynamics, further supporting plant stress adaptation (<xref ref-type="bibr" rid="B1">Agarwal et&#xa0;al., 2024</xref>).</p>
<p>Conventional soil amendments have been explored to enhance phytoremediation but often come with inherent limitations. Synthetic chelators like EDTA can increase heavy metal bioavailability but have limitations such as poor biodegradability and potential phytotoxicity, restricting their field application (<xref ref-type="bibr" rid="B33">Hamidpour et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B84">Shi et&#xa0;al., 2024</xref>). In contrast, microalgae offer a sustainable biological alternative that addresses these constraints. Microalgae possess remarkable metal adsorption capabilities (<xref ref-type="bibr" rid="B45">Lee and Ryu, 2021</xref>; <xref ref-type="bibr" rid="B61">Manikandan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B110">Yeheyo et&#xa0;al., 2024</xref>). For example, <italic>Chlorella vulgaris</italic> can remove up to 87% of Cd<sup>2+</sup> from aqueous environments within 18 days (<xref ref-type="bibr" rid="B4">Al-Khiat et&#xa0;al., 2023</xref>). Other species like <italic>C. pyrenoidosa</italic>, <italic>Parachlorella kessleri</italic>, and <italic>Tolypothrix tenuis</italic> also showed potential in heavy metal remediation (<xref ref-type="bibr" rid="B67">Nagase et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B6">Bauenova et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B61">Manikandan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B72">Ran et&#xa0;al., 2024</xref>). Beyond direct metal removal, microalgae function as effective biostimulants and soil amendments (<xref ref-type="bibr" rid="B45">Lee and Ryu, 2021</xref>; <xref ref-type="bibr" rid="B65">Moon et&#xa0;al., 2024</xref>). Their photosynthetic activity supplies oxygen and organic matter to support microbial and plant activity. Moreover, the secreted compounds of microalgae has been reported to induce physiological and structural changes in plants that protect them against biotic and abiotic stresses and promote their growth (<xref ref-type="bibr" rid="B23">El Arroussi et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B10">Carillo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B45">Lee and Ryu, 2021</xref>). Microalgae can also facilitate the mineralization and solubilization of primary macro- and micronutrients in the soil and improve soil conditions (<xref ref-type="bibr" rid="B9">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B56">Lorentz et&#xa0;al., 2024</xref>). Notably, their high environmental adaptability allows them to thrive not only in aquatic environments but also in plant tissues and soil (<xref ref-type="bibr" rid="B45">Lee and Ryu, 2021</xref>). Compared to single strains, microalgae consortia offer greater functional stability and synergistic benefits, making them more suitable for application under complex field conditions (<xref ref-type="bibr" rid="B62">Mattsson et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B19">D&#xed;az et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B64">Mollo et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B85">Singh and Singh, 2024</xref>).</p>
<p>While microalgae have shown promise in phytoremediation and plant growth promotion, their regulatory roles in plant Cd uptake and tolerance remain poorly understood. Therefore, employing a standardized microalgae consortium, this study focused on how microalgae supplementation influences Cd accumulation in <italic>Perilla frutescens</italic>, with particular focus on root-level adaptations. A hydroponic system was used to minimize environmental complexity and provide a controlled setting to isolate the direct effects of microalgae on root Cd uptake and stress responses. By examining changes in root ultrastructure, cell wall composition, antioxidant responses, and exudate characteristics, this research sought to unravel the mechanism basis of microalgae-assisted phytoremediation. The findings are expected to maximize plant productivity and ecological safety and support the development of sustainable strategies for remediating Cd-contaminated soils.</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>Experimental design</title>
<p>
<italic>Perilla frutescens</italic> seeds were sterilized with 0.5% NaClO solution for 10 min, and rinsed with deionized water. The seeds were then sown in soil and covered with a thin layer of peat soil for natural germination. After 50 days, when the seedlings reached approximately 10 cm in height, vigorous and uniformly sized seedlings were transplanted into polyethylene plastic containers (310&#xd7;285&#xd7;180 mm). The seedlings were grown in a controlled growth chamber set at 25 &#xb0;C with a 16 h light/8 h dark photoperiod. Initially, the seedlings were precultured in Hoagland&#x2019;s modified nutrient solution (Beijing Coolabor Technology Co., Ltd., Beijing) with concentration gradients from 1/4 to full strength (the composition of the Hoagland&#x2019;s modified nutrient solution is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). After 10 days of acclimation, the seedlings were transferred into Hoagland&#x2019;s modified nutrient solution with different treatments as designed. Cd stress was applied using CdCl<sub>2</sub>&#xb7;2.5H<sub>2</sub>O (98% purity, Shanghai Macklin Biochemical Co., Ltd.), at a concentration of 1 mg/L, which was selected based on the study by <xref ref-type="bibr" rid="B89">Tang et&#xa0;al. (2025)</xref> and <xref ref-type="bibr" rid="B95">Vasudhevan et&#xa0;al. (2025)</xref> for its effectiveness in inducing measurable Cd stress responses in plants. Three treatments were designated: CK (no Cd stress), ST (1 mg/L Cd treatment), and SM (1 mg/L Cd treatment with microalgae addition). Each treatment included three biological replicates, with six seedlings per replicate. The microalgae additive used was obtained from Beijing Bailing Biotechnology Co., Ltd., consisting mainly of <italic>Chlorella pyrenoidosa</italic>, <italic>Anabaena azotica</italic>, and <italic>Tolypothrix tenuis</italic>, with a concentration exceeding 1&#xd7;10<sup>6</sup> cells/mL, applied at a 100-fold dilution. During cultivation, the nutrient solution was aerated daily using an oxygen pump and refreshed every three days. Plant growth parameters (height, stem diameter, and biomass) were monitored regularly. After 24 days of transplantation, plants were harvested for analysis.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Collection and extraction of root exudates</title>
<p>After harvesting, healthy and uniform <italic>Perilla frutescens</italic> seedlings were selected for subsequent experiments. The roots were rinsed with 5 mmol/L Na<sub>2</sub>EDTA and deionized water (2&#x2013;3 times each) to ensure complete removal of residual Cd<sup>2+</sup> and nutrients. To specifically collect plant-derived root exudates without interference from other organisms, the cleaned seedlings were transferred to a sterile flask containing sterile water with roots fully submerged, and the flask was wrapped in aluminum foil to block light. In a 25 &#xb0;C light incubator, root exudates were collected for 6 h. The collected liquid was filtered using double-layered filter paper, concentrated, and then subjected to further filtration through a 0.22 &#x3bc;m filter membrane. Finally, the processed liquid was rapidly frozen in liquid nitrogen for 5 min and stored at -80 &#xb0;C.</p>
<p>Samples were extracted using 80% methanol. A 100 &#x3bc;L aliquot of the sample was re-suspended in 400 &#x3bc;L of the 80% methanol. After incubating the mixture on ice for 5 min, it was centrifuged at 15,000 g and 4 &#xb0;C for 20 min. The supernatant was then diluted to final concentration containing 53% methanol and the centrifugation step was repeated. The final supernatant was injected into the LC-MS/MS system for analysis.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Untargeted metabolomics analysis and data processing</title>
<p>The root exudates were analyzed using untargeted metabolomics assay from Novogene Co., Ltd. (Beijing, China). UHPLC-MS/MS analysis was carried out on a Vanquish UHPLC system coupled to a Q Exactive&#x2122; HF-X mass spectrometer (Thermo Fisher Scientific, Germany). A Hypersil Gold column (100&#xd7;2.1 mm, 1.9 &#x3bc;m) was employed to separate root exudates using a 12-minute linear gradient. The column temperature was maintained at 40 &#xb0;C, with a flow rate of 0.2 mL/min. The mobile phases for the positive and negative polarity modes consisted of 0.1% formic acid (A) and methanol (B), with the following elution gradient: 0-1.5 min, 98% A; 1.5&#x2013;3 min, 98-15% A; 3&#x2013;10 min, 15-0% A; 10-10.1 min, 0-98% A; 10.1&#x2013;12 min, 98% A. The Q Exactive&#x2122; HF-X mass spectrometer was operated in positive/negative polarity mode, with specific parameters detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>.</p>
<p>Quality control (QC) samples, prepared by pooling equal volumes of all experimental samples, were used to equilibrate the LC-MS system and monitor instrument performance throughout the run. Blank samples were included to eliminate background ion interference during data processing. Since all samples were randomized and analyzed within a single batch, batch effects were considered minimal. Raw mass spectrometry data were processed using Compound Discoverer 3.3 (ThermoFisher), encompassing peak alignment, picking, and area quantification. Data processing parameters included an actual mass tolerance of 5 ppm, signal intensity tolerance of 30%, and peak areas were normalized against the first quality control (QC) sample. Minimum intensity thresholds were applied to filter noise. Following initial processing, peak intensities were normalized to total spectral intensity. Molecular formula prediction was performed based on analysis of additive ions, molecular ion peaks, and fragment ions. Metabolite identification was based on spectral matching against the mzCloud (<ext-link ext-link-type="uri" xlink:href="https://www.mzcloud.org/">https://www.mzcloud.org/</ext-link>), mzVault, and MassList databases. Statistical analyses were performed using CentOS (CentOS release 6.6), R (version 3.4.3) and Python (version 2.7.6). Data were subsequently scaled and standardized for statistical analysis. Quality control measures included removal of compounds showing coefficient of variation (CV) greater than 30% in QC samples.</p>
<p>Functional annotation was performed using the KEGG (<ext-link ext-link-type="uri" xlink:href="https://www.genome.jp/kegg/pathway.html">https://www.genome.jp/kegg/pathway.html</ext-link>) and HMDB (<ext-link ext-link-type="uri" xlink:href="https://hmdb.ca/metabolites">https://hmdb.ca/metabolites</ext-link>) databases. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were conducted with metaX. Differentially accumulated metabolites (DAMs) were identified based on variable importance in projection (VIP) &gt; 1, p-value&lt; 0.05 (t-test), and fold change (FC) &#x2265; 2 or &#x2264; 0.5. Volcano plots, clustering heatmaps, Mantel correlation analyses, and random forest analyses were generated in R using standard packages. Z-score transformation was applied for clustering analysis, and metabolite-metabolite correlations were assessed using Pearson correlation coefficients. Functional enrichment analysis of DAMs was carried out based on KEGG pathway classification.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Transmission electron microscopy analysis of <italic>Perilla frutescens</italic> root apex</title>
<p>The <italic>Perilla frutescens</italic> root samples were initially washed with 5&#xa0;mmol/L Na<sub>2</sub>EDTA and deionized water. Root apex, approximately 1 cm in length, were then excised and placed in a 2.5% glutaraldehyde solution for fixation at 4 &#xb0;C for 12 h. Following this, the samples were rinsed three times with 0.1 mol/L phosphate buffer (pH 7.2), with each rinse lasting 15 min. Subsequently, the samples were immersed in a solution containing 1% osmium tetroxide and 0.1 mol/L phosphate buffer (pH 7.2) at room temperature for 2 h, followed by three additional rinses with the same buffer. Dehydration was carried out using a graded ethanol series at concentrations of 30%, 50%, 70%, 80%, 85%, 90%, 95%, and 100%, each step lasting 15&#x2013;20 min. They were then infiltrated with a series of acetone and epoxy resin mixtures at 37 &#xb0;C, using the following ratios: acetone-resin (2:1), acetone-resin (1:1), and pure epoxy resin, each for 8&#x2013;12 h. After embedding, the samples were sectioned to a thickness of 80&#x2013;100 nm, stained, and examined using transmission electron microscopy (TEM) (HT7700, Hitachi, Japan).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Evaluation of Cd content in different tissues</title>
<p>The quantification of Cd was conducted through inductively coupled plasma-mass spectrometry (ICP-MS), following the guidelines of the National standard of the People&#x2019;s Republic of China (GB 5009.15&#x2014;2014). <italic>Perilla frutescens</italic> plants were divided into roots, stems, and leaves, then dried, ground and sieved. The resulting powder was digested overnight in a covered container with a nitric acid-perchloric acid mixture (<italic>v</italic>/<italic>v</italic>, 9:1). The mixture was then heated on a heating plate until white fumes appeared and the solution turned colorless or pale yellow (if the solution turned brown during heating, additional acid mixture was added). After cooling, the digestion solution was diluted to 10 mL with 2% nitric acid and filtered through 0.45 &#x3bc;m membrane filters. The Cd concentration in the samples was then measured using an ICP-MS (iCAP Qc, Thermo Fisher, Germany). Instrument parameters are detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>. The translocation factor (TF), which assesses the efficiency of Cd translocation between different plant tissues, was calculated using the following formulas (<xref ref-type="bibr" rid="B37">Hussain et&#xa0;al., 2024</xref>):</p>
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</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Cd content measurement in root cell walls</title>
<p>The separation of subcellular component from <italic>Perilla frutescens</italic> roots was modified based on the method described by <xref ref-type="bibr" rid="B103">Wei et&#xa0;al. (2021)</xref>. Approximately 1 g of fresh root sample was homogenized with 10 mL of pre-cooled extraction buffer (250 mmol/L sucrose, 50&#xa0;mmol/L Tris-HCl (pH 7.5), 1.0 mmol/L dithiothreitol, and 5 mmol/L ascorbic acid). The homogenate was then centrifuged at 2000 rpm for 15 min at 4 &#xb0;C to collect the precipitate as the cell wall fraction. The centrifugation steps were repeated twice. The resulting cell wall fraction was freeze-dried at -80 &#xb0;C to constant weight. The Cd concentration in cell wall samples was determined following the procedure outlined in section 2.5.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Extraction of root cell wall and its polysaccharide components</title>
<p>The extraction method of root cell walls was adapted from <xref ref-type="bibr" rid="B36">Huang et&#xa0;al. (2023)</xref>. Fresh <italic>Perilla frutescens</italic> root samples (~1.5 g) were washed with deionized water and ground into a fine powder using liquid nitrogen. The powder was then suspended in 10 mL of 75% ethanol pre-cooled to 4 &#xb0;C and incubated in an ice bath for 20 min. After incubation, the mixture was centrifuged at 4 &#xb0;C, 8000 rpm for 10 min. The resulting precipitate was subsequently washed three times with 10 mL each of pre-cooled acetone, a methanol-chloroform mixture (1:1, <italic>v</italic>/<italic>v</italic>), and methanol. Each wash step involved incubation in an ice bath for 20 min and centrifugation at 4 &#xb0;C, 8000 rpm for 10 min. The final precipitate was rinsed twice with deionized water pre-cooled to 4 &#xb0;C, freeze-dried, and stored at 4 &#xb0;C for further analysis.</p>
<p>Polysaccharides from root cell walls were extracted following the protocols of <xref ref-type="bibr" rid="B97">Wang (2022)</xref> and <xref ref-type="bibr" rid="B102">Wei et&#xa0;al. (2023)</xref>. Approximately 5 mg of cell wall material was incubated in 1 mL of 0.5% ammonium oxalate buffer (containing 0.1% NaBH<sub>4</sub>) at 100 &#xb0;C for 1 h, and then centrifuged at 12000 rpm for 10 min, yielding pectin in the supernatant. This process was repeated three times, and the supernatants were pooled. The residue was then treated with 1 mL of 4% KOH (containing 0.1% NaBH<sub>4</sub>) at room temperature for 12 h. Following centrifugation at 12000 rpm for 10 min, the supernatants, collected twice, constituted hemicellulose I. The precipitate was washed with deionized water and extracted with 1 mL of 24% KOH (containing 0.1% NaBH<sub>4</sub>) using the same conditions to obtain hemicellulose II. The remaining pellet, identified as cellulose, was washed with deionized water and dissolved in 1 mL of 72% H<sub>2</sub>SO<sub>4</sub> (<xref ref-type="bibr" rid="B17">Dang et&#xa0;al., 2023</xref>). After cooling in an ice bath for 30 min, the solution was filtered through a 0.22 &#x3bc;m filter membrane.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Fourier transform infrared spectroscopy analysis</title>
<p>Approximately 2 mg of dried root cell wall powder was thoroughly mixed with 100 mg of KBr and ground uniformly. The mixture was then pressed into a tablet under a pressure of 20 MPa. A fourier transform infrared (FTIR) spectrometer (Nicolet 6700, Thermo Fisher Scientific, USA) was used for spectral analysis. The wavelength range for detection was 400&#x2013;4000 cm<sup>-1</sup>, with a resolution of 4 cm<sup>-1</sup> and a signal-to-noise ratio of 50000:1. Each sample was scanned 32 times.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Quantification of polysaccharide content in root cell walls and Cd concentration in polysaccharide components</title>
<p>The pectin content in the root cell walls was quantified by measuring the galacturonic acid content, following the method described by <xref ref-type="bibr" rid="B7">Blumenkrantz and Asboe-Hansen (1973)</xref>. Specifically, 200 &#x3bc;L of pectin extract was reacted with 1 mL of concentrated sulfuric acid (containing 0.0125 mol/L sodium tetraborate) at 100 &#xb0;C for 5 min. After cooling to room temperature, 20 &#x3bc;L of 0.15% meta-hydroxydiphenyl (<italic>w</italic>/<italic>w</italic>) was added, and the mixture was allowed to react for 20 min. The absorbance was then measured at 520 nm. The galacturonic acid (Shanghai yuanye Biotechnology Co., Ltd, China) (purity &#x2265; 98%) was used as a reference standard.</p>
<p>The hemicellulose content was determined by quantifying total sugars according to the method of <xref ref-type="bibr" rid="B21">DuBois et&#xa0;al. (1956)</xref> with modifications. For this, 1 mL of hemicellulose I and hemicellulose II extracts, which had been two-fold diluted with distilled water, were incubated with 800 &#x3bc;L of 5% phenol (<italic>w</italic>/<italic>w</italic>) and 5 mL of concentrated sulfuric acid at room temperature for 15 min, followed by incubation at 100 &#xb0;C for 15 min. Once cooled, the absorbance was measured at 490 nm.</p>
<p>The cellulose content was assessed using the anthrone colorimetric method (<xref ref-type="bibr" rid="B29">Griffiths et&#xa0;al., 2014</xref>). The cellulose filtrate was diluted tenfold, and 200 &#x3bc;L of the diluted filtrate was taken. Then, 50 &#x3bc;L of ethyl acetate contain 2% anthrone solution (<italic>w</italic>/<italic>w</italic>) and 500 &#x3bc;L of concentrated sulfuric acid were added. The solution was mixed thoroughly, incubated in boiling water for 10 min, then cooled. The absorbance was measured at 620 nm. The D-glucose (Shanghai Yuanye Biotechnology Co., Ltd., China) (purity &#x2265; 98%) served as the reference standard for hemicellulose and cellulose quantification.</p>
<p>The Cd concentration in the aforementioned components was quantified using ICP-MS, as described in section 2.5.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Assay of root antioxidant activity</title>
<p>The contents and generation rates of superoxide anion radicals, the malondialdehyde (MDA) content, and the activities of superoxide dismutase (SOD) and peroxidase (POD) in root samples were determined using biochemical kits. Detailed information on the kits is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>.</p>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Statistical analysis</title>
<p>One-way analysis of variance (ANOVA) was performed using IBM SPSS Statistics 23.0 to analyze variance. Means were compared using Tukey&#x2019;s HSD test (for data meeting homogeneity of variance) and Tamhane&#x2019;s T2 test (for data not meeting homogeneity of variance), with a significance threshold of 0.05. Graphs were plotted using GraphPad Prism (version 8.0.2), R (version 4.3.0), and Origin 2024b (version 10.1.5.132).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Result and discussion</title>
<sec id="s3_1">
<label>3.1</label>
<title>Growth conditions</title>
<p>The growth dynamics of <italic>Perilla frutescens</italic> were monitored throughout the experimental period, with measurements taken for plant height, stem diameter, and fresh weight of the aboveground parts and roots at harvest. The results demonstrated that Cd stress suppressed plant growth, leading to reduced plant height, stem diameter, and plant biomass compared to the control group (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B-D</bold>
</xref>). In contrast, the introduction of microalgae significantly enhanced the aboveground biomass (43.20%) and total biomass (37.43%), and also promoted increases in plant height and stem diameter. Morphologically, plants treated with microalgae exhibited a more robust appearance, with better-developed root systems, thicker stems, and larger leaf area (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Besides, the microalgae treatment accelerated the growth rate of <italic>Perilla frutescens</italic>, indicating its potential to mitigate the adverse effects of Cd stress.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Growth performance of <italic>Perilla frutescens</italic> under different treatments. <bold>(A)</bold> Plant morphology. <bold>(B)</bold> Dynamic changes in plant height during the treatment period. <bold>(C)</bold> Dynamic changes in stem diameter during the treatment period. <bold>(D)</bold> Fresh biomass at harvest. Note: The values are presented as mean &#xb1; SD (standard deviation). The different lowercase letters in panels B, C, and D indicate significant differences among treatment groups at each time point (<italic>p&lt;</italic>0.05). The different uppercase letters in panel D indicate significant differences in total biomass among treatment groups at <italic>p&lt;</italic>0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g001.tif">
<alt-text content-type="machine-generated">Panel A shows three treatment groups (CK, ST, and SM), each with visible roots and foliage. Panel B is a line chart comparing plant height over 14 days for CK, ST, and SM. Panel C depicts stem diameter over 14 days for the same groups. Panel D is a bar chart showing the weight of root and aboveground parts for CK, ST, and SM treatments.</alt-text>
</graphic>
</fig>
<p>Cd stress typically exerts detrimental effects on plant growth, manifesting as attenuated growth performance like inhibited height, stem diameter, and biomass accumulation, as observed in this study. These growth impairments are closely related to Cd-induced oxidative stress, disruption of essential nutrient uptake, impaired photosynthetic efficiency, and altered metabolic activities (<xref ref-type="bibr" rid="B27">Genchi et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B35">Hassan et&#xa0;al., 2024</xref>). Specifically, the slowed growth and compromised plant vitality under Cd stress reflect the severe physiological disturbances caused by heavy metal toxicity, which interfered with cellular processes and led to stunted development.</p>
<p>Microalgae, particularly <italic>Chlorella</italic> and <italic>Scenedesmus</italic> species, are recognized beneficial biofertilizers (<xref ref-type="bibr" rid="B20">Dineshkumar et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B87">Suchithra et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B9">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B22">Eckstien et&#xa0;al., 2024</xref>). They are capable of providing essential nutrient and oxygen for plant growth through processes such as photosynthesis, nitrogen fixation and phosphorus solubilization (<xref ref-type="bibr" rid="B78">Renuka et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B77">Renganathan et&#xa0;al., 2024</xref>). For instance, the application of microalgae biomass, predominantly <italic>Scenedesmus</italic> sp., resulted in increased organic matter, nitrogen and phosphorus levels (<xref ref-type="bibr" rid="B13">Castro et&#xa0;al., 2024</xref>). Treatment with <italic>Chlorella vulgaris</italic> and <italic>Spirulina platensis</italic> significantly enhanced maize growth performance (<xref ref-type="bibr" rid="B20">Dineshkumar et&#xa0;al., 2019</xref>). The bioactive compounds secreted by microalgae, such as polysaccharides and phytohormones, likely play an important role in enhancing stress tolerance as well (<xref ref-type="bibr" rid="B111">Yehuda et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B46">Le&#xf3;n-Vaz et&#xa0;al., 2023</xref>). <xref ref-type="bibr" rid="B23">El Arroussi et&#xa0;al. (2018)</xref> found that microalgae polysaccharides could improve the growth of tomatoes under salt stress, increasing chlorophyll contents and promoting protein accumulation. These exudates can mitigate oxidative damage, modulate plant growth pathways, and strengthen cellular defenses, thereby allowing plants to maintain more stable growth under stress conditions (<xref ref-type="bibr" rid="B22">Eckstien et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B77">Renganathan et&#xa0;al., 2024</xref>). In addition, microalgae have been shown to adsorb Cd ions, which could reduce free Cd concentrations in the rhizosphere, potentially creating a less toxic environment for plant development (<xref ref-type="bibr" rid="B4">Al-Khiat et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B3">Ali et&#xa0;al., 2024</xref>). While these aspects were not directly tested in our study, the observed improvements in plant growth metrics in the presence of microalgae suggest that microalgae serve as an effective plant growth promoter and can enhance stress tolerance in plants exposed to Cd. On the other hand, the faster growth rate and greater biomass accumulation seen in microalgae-treated plants are also critical from a phytoremediation perspective. Plants that grow faster, produce more biomass, and develop more robust root systems are better equipped to absorb and sequester heavy metals from the environment, making microalgae a valuable ally in improving growth and heavy metal removal efficiency of hyperaccumulators in contaminated environments.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Physiological responses of <italic>Perilla frutescens</italic> roots to Cd stress</title>
<p>Cd stress induced pronounced oxidative damage in <italic>Perilla frutescens</italic> roots, as evidenced by a 17.69% increase in both the content and production rate of superoxide anion radicals, and an 88.10% increase in malondialdehyde (MDA) levels compared to the control (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1A, B, E</bold>
</xref>). In response, the antioxidant enzyme was activated, showing 40.88% and 142.85% increases in superoxide dismutase (SOD) and peroxidase (POD) activities, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1C, D</bold>
</xref>). Notably, microalgae supplementation altered this response pattern. The POD activity further rose by 27.98%, while superoxide anion radical content and its production rate, as well as MDA content all decreased compared to Cd stress alone. Nevertheless, the SOD activity under microalgae treatment was significantly lower than that in Cd-only group.</p>
<p>The antioxidant defense system plays a central role in plant adaptation to heavy metal stress, particularly through maintaining reactive oxygen species (ROS) homeostasis (<xref ref-type="bibr" rid="B34">Hasanuzzaman et&#xa0;al., 2020</xref>). Plants face a critical challenge when exposed to Cd stress, primarily due to the surge in ROS that overwhelms their cellular defense mechanisms (<xref ref-type="bibr" rid="B83">Sharma et&#xa0;al., 2022</xref>). This oxidative burst, characterized by the accumulation of various ROS, including superoxide anions and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), can compromise cell membranes and damage essential biomolecules (<xref ref-type="bibr" rid="B34">Hasanuzzaman et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B100">Wang P. et&#xa0;al., 2024</xref>). Lipid peroxidation, reflected by elevated MDA content, and the accumulation of superoxide anions observed here highlighted the severity of oxidative damage. The sharp rise in SOD and POD activities reflected the plant&#x2019;s attempt to cope with this stress, yet the persistence of oxidative markers implies that endogenous defenses were not fully effective. The addition of microalgae offered a relief, as demonstrated by the reductions in both superoxide anion levels and MDA contents. This aligns with established knowledge about microalgal capabilities. Microalgae are known to secrete a variety of bioactive compounds, such as phenolics, amino acids, and organic acids, which have been shown to modulate oxidative stress and support plant recovery (<xref ref-type="bibr" rid="B71">Parmar et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B16">&#x10c;mikov&#xe1; et&#xa0;al., 2024</xref>). While the present study did not characterize these secretions, the physiological outcomes&#x2014;reduced oxidative damage&#x2014;imply their possible involvement.</p>
<p>What stands out in this study is the differential response of the antioxidant enzymes. While POD activity continued to rise following microalgae treatment, likely improving H<sub>2</sub>O<sub>2</sub> detoxification, SOD activity dropped. This pattern is consistent with findings from previous studies. For example, exopolysaccharides from <italic>Dunaliella salina</italic> attenuated the drought-induced elevation of SOD activity in tomato (<xref ref-type="bibr" rid="B23">El Arroussi et&#xa0;al., 2018</xref>). Similarly, <italic>Aphanothece</italic> crude extracts significantly suppressed SOD activity in Cd-stressed tomato plants, while algal extracts enhanced POD activity in <italic>Brassica chinensis</italic> under Cd exposure (<xref ref-type="bibr" rid="B24">Fal et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B82">Shaari et&#xa0;al., 2023</xref>). These findings reflect distinct interactions between microalgae and plant oxidative responses. The differential enzyme activities observed in present study may be attributed to the action of microalgae-derived compounds such as exopolysaccharides, organic acids, and antioxidant peptides, which are known to chelate Cd ions or directly scavenge superoxide anions, thereby reducing the superoxide anions accumulation and diminishing the demand for SOD-mediated detoxification (<xref ref-type="bibr" rid="B28">Gitau et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B30">Guehaz et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B71">Parmar et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B105">Xiao et&#xa0;al., 2023</xref>). Additionally, since H<sub>2</sub>O<sub>2</sub> is a potentially harmful byproduct of SOD activity, its excessive accumulation may also contribute to SOD inactivation. In parallel, the continued rise in POD activity likely reflects an adaptive response to elevated H<sub>2</sub>O<sub>2</sub> or cell wall remodeling processes such as lignification, which are commonly activated in plant defense against heavy metal stress. Collectively, such results suggested that microalgae may modulate the antioxidant response strategy of <italic>Perilla frutescens</italic> under Cd stress, altering the plant resistance on specific antioxidant pathways and reducing the demand for SOD-driven detoxification.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Cd accumulation in different tissues of <italic>Perilla frutescens</italic>
</title>
<p>Compared to the control group, Cd concentrations in the roots, stems, and leaves were significantly increased under Cd treatment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>). Microalgae application further enhanced Cd accumulation, with Cd concentrations in stem and leaf rising by 17.09% and 56.66%, respectively, compared to Cd treatment alone. Moreover, relative to the ST group, microalgae amendment raised Cd content in the roots, stems, and leaves by 20.72%, 25.87%, and 112.29%, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Also, microalgae increased translocation factor (TF) values by 7.46% for root-to-stem translocation, 53.71% for root-to-leaf translocation, and 22.28% for stem-to-leaf translocation (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effect of different treatments on Cd contents of <italic>Perilla frutescens</italic> roots, stems, and leaves. Note: The values are presented as mean &#xb1; SD (standard deviation). The different lowercase letters indicate significant differences at <italic>p&lt;</italic>0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing cadmium content in micrograms per plant for roots, stems, and leaves. Three groups are labeled CK, ST, and SM. Roots show the highest content, followed by stems, then leaves. ST and SM have similar levels, both higher than CK. Statistical significance is indicated by different letters above bars.</alt-text>
</graphic>
</fig>
<p>The observed enhancement in Cd accumulation suggested that microalgae can effectively improve phytoextraction efficiency. This enhancement is likely driven by microalgae-induced reduction of oxidative stress and promotion of plant growth. However, considering the differences in alterations in Cd concentrations and contents observed prior to and following microalgae treatment, it appears that the increased Cd load in <italic>Perilla frutescens</italic> may be more attributable to biomass augmentation.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Root apical cell ultrastructure analysis via transmission electron microscopy</title>
<p>To evaluate the impact of Cd stress and microalgae treatment on the ultrastructure of root cells, transmission electron microscopy (TEM) was employed for observation of root apical tissues. Root apical cells in the control group displayed intact structures, with uniformly thin cell walls and mitochondria showing a normal and rounded appearance (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A-D</bold>
</xref>). However, Cd exposure induced marked subcellular damage. The nuclear membrane appeared disrupted, and nucleoli were enlarged (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3H</bold>
</xref>), which may be associated with the enhanced genetic regulation and cellular responses aimed at coping with Cd toxicity. The thickening of the cell walls, likely a defensive adaptation, was also observed, along with damage to membrane structures (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E, F</bold>
</xref>). The observed damage to the tonoplast suggested possible Cd shift from organelles into the cytoplasm (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E-H</bold>
</xref>). Besides, the dark deposits, presumably representing Cd accumulation, were visible in the cell walls, vacuoles and cytoplasm. Following microalgae treatment, several indicators of improved cellular stress resistance were observed, including restored membrane integrity and increased numbers of mitochondria and endoplasmic reticulum, potentially reflecting increased metabolic activity to support recovery from Cd stress (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3I-L</bold>
</xref>). Although cell walls remained thickened compared to the control group, this persistent thickening may indicate a long-term protective response reinforced by microalgae treatment. Moreover, the increased presence of dark deposits in root apical cells may suggest further Cd accumulation, implying that microalgae potentially enhance the plant ability to sequester and tolerate higher levels of Cd.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Ultrastructure of root apical cells under different treatments observed via transmission electron microscopy (TEM). <bold>(A, B)</bold> Control group (CK) at 3,000&#xd7;. <bold>(C, D)</bold> CK group at 15,000&#xd7;. <bold>(E, F)</bold> Cd-treated group (ST) at 3,000&#xd7;. <bold>(G, H)</bold> ST group at 15,000&#xd7;. <bold>(I, J)</bold> Cd and microalgae co-treatment group (SM) at 3,000&#xd7;. (K, L) SM group at 15,000&#xd7;. Note:CW, cell wall; V, vacuole; ER, endoplasmic reticulum; MT, mitochondria; CP, cytoplasm; NC, nucleolus; N, nucleus. Red arrows point to dark deposits that may represent Cd-chelated compounds.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g003.tif">
<alt-text content-type="machine-generated">Transmission electron microscopy images of cell structures at different magnifications (3000x and 15000x). Panels A to D (CK), E to H (ST), and I to L (SM) show various cellular components such as vacuoles (V), endoplasmic reticulum (ER), mitochondrial structures (MT), cytoplasmic inclusions (CP), cell walls (CW), nucleoli (NC), and nuclei (N). Red arrows indicate specific features or points of interest in the micrographs. Scale bars indicate sizes ranging from 5 micrometers to 1 micrometer.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Cd concentration in root cell walls of <italic>Perilla frutescens</italic>
</title>
<p>This study revealed that Cd adsorption in root cell wall of <italic>Perilla frutescens</italic> was significantly enhanced upon Cd exposure, with further amplification by microalgae treatment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>). The cell wall serves as the first barrier to heavy metals, and its components&#x2014;primarily polysaccharides and structural proteins&#x2014;contain a variety of functional groups such as carboxyl, hydroxyl, and amino groups capable of binding Cd via coordination or electrostatic interactions (<xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B48">Li Z. et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B107">Xie et&#xa0;al., 2024</xref>). These interactions reduce the content of free Cd in the cytoplasm and facilitate metal detoxification (<xref ref-type="bibr" rid="B63">Meychik et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B35">Hassan et&#xa0;al., 2024</xref>). The enhanced Cd retention in the root cell wall under microalgae treatment points to a more active sequestration process at this structural barrier, which likely contributes to the increased Cd accumulation observed in roots (<xref ref-type="bibr" rid="B117">Zhao et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>). Differences in cell wall composition and structure across plant species can account for their differing capacities to accumulate Cd (<xref ref-type="bibr" rid="B32">Guo et&#xa0;al., 2021</xref>). While increased Cd retention in the cell wall generally correlates with restricted translocation and reduced cellular damage, the current study also recorded enhanced Cd translocation to aerial tissues in microalgae-treated plants, an observation that appears counterintuitive relative to commonly accepted mechanisms (<xref ref-type="bibr" rid="B57">Lu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B80">Saeed et&#xa0;al., 2024</xref>). Interestingly, a similar trend was reported by <xref ref-type="bibr" rid="B48">Li Z. et&#xa0;al. (2024)</xref>, who found that application of 300-times diluted bamboo vinegar under Cd stress promoted both Cd chelation in roots and its upward transport in <italic>Perilla frutescens</italic>. Several factors may contribute to this phenomenon. Firstly, microalgae addition alleviated oxidative stress in <italic>Perilla frutescens</italic>, as evidenced by the reduced levels of superoxide anion radicals. This reduction in oxidative damage likely improved plant physiological status, thereby enhancing its capacity for Cd uptake and redistribution. Secondly, microalgae are known to secrete a variety of bioactive compounds, including phytohormones, flavonoids, and organic acids, which can alter the chemical speciation and mobility of Cd in the rhizosphere (<xref ref-type="bibr" rid="B30">Guehaz et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B81">Seregin and Kozhevnikova, 2024</xref>; <xref ref-type="bibr" rid="B101">Wang J. et&#xa0;al., 2024</xref>). These compounds may increase Cd bioavailability by promoting its solubilization through chelation or rhizosphere acidification (<xref ref-type="bibr" rid="B92">Tao et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B107">Xie et&#xa0;al., 2024</xref>). The enhanced Cd uptake under improved root vitality could subsequently promote greater translocation of Cd to shoots. It is also plausible that microalgae treatment may modulate the expression or activity of Cd transporters involved in long-distance translocation, although this possibility remains untested in the current study. Another possible explanation is that once the available Cd-binding sites in the cell wall become saturated, excess Cd may be redirected to the aerial parts to avoid toxic accumulation in the roots. Nonetheless, these mechanisms remain hypothetical and require further experimental validation.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Cd binding and compositional changes of root cell wall polysaccharides</title>
<p>Cd stress induced alterations in the composition of root cell wall polysaccharides in <italic>Perilla frutescens</italic>. Compared to the control, the levels of pectin and hemicellulose II increased by 13.92% and 6.41%, respectively, while hemicellulose I and cellulose contents decreased by 15.89% and 16.50% (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4A-D</bold>
</xref>). Although microalgae treatment did not cause statistically significant changes in the abundance of these polysaccharide components, it elevated the Cd concentration bound to hemicellulose I by 166.37% (<italic>p</italic>&lt;0.05), suggesting a substantial enhancement in the Cd-binding capacity of this fraction (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5</bold>
</xref>).</p>
<p>Polysaccharides are integral components of the plant cell wall, maintaining structural integrity and modulating mechanical properties (<xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>). Through their rich negatively charged functional groups, these polysaccharides can effectively chelate metal cations, thereby alleviating heavy metal toxicity (<xref ref-type="bibr" rid="B32">Guo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B115">Yu et&#xa0;al., 2021</xref>). Pectin and hemicellulose are recognized as the primary Cd-binding constituents, as studies revealed that their removal significantly reduced Cd adsorption (<xref ref-type="bibr" rid="B115">Yu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>). Similarly, enhanced hemicellulose content through genetic modification was shown to promote Cd accumulation in cell walls (<xref ref-type="bibr" rid="B60">Ma et&#xa0;al., 2024</xref>). Although a positive correlation between polysaccharide abundance and metal retention is well-documented (<xref ref-type="bibr" rid="B104">Wu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B60">Ma et&#xa0;al., 2024</xref>), the present study revealed that the remarkable increase in Cd bound to hemicellulose I following microalgae treatment occurred without a corresponding rise in its content. This is consistent with findings reported by <xref ref-type="bibr" rid="B48">Li Z. et&#xa0;al. (2024)</xref>, who likewise observed that enhanced Cd retention in hemicellulose I was not driven by the increase in its quantity. While the underlying mechanism remains unclear, the enhanced Cd retention may result from microalgae-induced structural changes in hemicellulose I, potentially including chemical modification of functional groups and changes in its branching or cross-linking patterns. Such alternations may increase the accessibility or density of active binding sites, thereby improving its metal chelation efficiency (<xref ref-type="bibr" rid="B55">Liu et&#xa0;al., 2020</xref>). However, further investigation is required to clarify the mechanisms underlying microalgae-driven Cd accumulation in hemicellulose.</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>FTIR analysis of <italic>Perilla frutescens</italic> root cell walls</title>
<p>
<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> presents the infrared spectra of root cell walls under three different treatments, with <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> listing the main absorption peaks in the 4000&#x2013;400 cm<sup>-1</sup> region. Compared to the control group, the absorption peaks under Cd stress were lower and narrower, and this effect was further intensified with the addition of microalgae. However, the overall spectral profiles remained largely unchanged across treatments, indicating that the fundamental structure of the root cell walls was not substantially altered. Nonetheless, shifts in specific absorption peaks reflect changes in the composition and conformation of functional groups. Specifically, a broad and intense absorption band at ~3420 cm<sup>&#x2212;1</sup>, corresponding to the O-H in cellulose and pectin or N-H of amines, shifted from 3419.84 cm<sup>&#x2212;1</sup> (CK) to 3408.49 cm<sup>&#x2212;1</sup> (ST) under Cd stress, and further to 3423.61 cm<sup>&#x2212;1</sup> (SM) with microalgae. The peak near 1538 cm<sup>&#x2212;1</sup>, associated with N-H bending vibrations of amide II, shifted from 1538.92 cm<sup>&#x2212;1</sup> to 1534.42 cm<sup>&#x2212;1</sup> under Cd, and to 1540.89 cm<sup>&#x2212;1</sup> with microalgae. These changes point to the involvement of polysaccharide and protein groups in Cd adsorption, with microalgae influencing their vibrational behavior. Peaks related to C-H vibrations in lignin and pectin (2924&#x2013;2925 cm<sup>&#x2212;1</sup>) and C=O stretching in amide I (1643&#x2013;1648 cm<sup>&#x2212;1</sup>) exhibited upward shifts in frequency under Cd stress. In contrast, the C=O band around 1730 cm<sup>&#x2212;1</sup>, linked to esterified pectin or carbonyl groups, showed a Cd-induced decrease in frequency. The absorption bands within 1058&#x2013;1156 cm<sup>&#x2212;1</sup>, corresponding to C-C, C-OH, C-O-C, or C-O-H vibrations of polysaccharides, also shifted to lower frequencies under Cd stress. However, these changes were partially reversed by microalgae treatment. Moreover, the -CH<sub>3</sub> bending vibration at 1440 cm<sup>&#x2212;1</sup> and the C-O/C-OH or C-N stretching band at 1262 cm<sup>&#x2212;1</sup> shifted to lower frequencies under Cd and were further displaced following microalgae treatment, indicating that microalgae may reinforce Cd-induced conformation changes in certain cell wall components.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>FTIR spectra of root cell walls from <italic>Perilla frutescens</italic> plants under different treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g004.tif">
<alt-text content-type="machine-generated">FTIR spectra graph displaying absorbance against wavenumber, measured in centimeters inverse, ranging from 400 cm-1 to 500. Three lines represent CK (red), ST (blue), and SM (yellow) samples. Peaks are labeled with functional groups: O-H/N-H, C-H/O-H, C=O, N-H, C-O-C, -CH3, among others. Key structural features are identified across the spectrum.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>FTIR spectra characterization of root cell wall components in <italic>Perilla frutescens</italic> plants across different treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Functional group / Wavenumber (cm-1)</th>
<th valign="middle" align="center">CK</th>
<th valign="middle" align="center">ST</th>
<th valign="middle" align="center">SM</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">O-H stretching of hydroxyl groups, N-H of amines</td>
<td valign="middle" align="center">3419.84</td>
<td valign="middle" align="center">3408.49</td>
<td valign="middle" align="center">3423.61</td>
</tr>
<tr>
<td valign="middle" align="left">C-H stretching of CH<sub>3</sub>, O-H of carboxyl groups</td>
<td valign="middle" align="center">2924.29</td>
<td valign="middle" align="center">2925.58</td>
<td valign="middle" align="center">2925.17</td>
</tr>
<tr>
<td valign="middle" align="left">C=O stretching vibration of esters or carbonyl groups</td>
<td valign="middle" align="center">1730.32</td>
<td valign="middle" align="center">1724.53</td>
<td valign="middle" align="center">1735.14</td>
</tr>
<tr>
<td valign="middle" align="left">C=O stretching in amide I</td>
<td valign="middle" align="center">1643.46</td>
<td valign="middle" align="center">1648.07</td>
<td valign="middle" align="center">1644.40</td>
</tr>
<tr>
<td valign="middle" align="left">N-H bending of amide II</td>
<td valign="middle" align="center">1538.92</td>
<td valign="middle" align="center">1534.42</td>
<td valign="middle" align="center">1540.89</td>
</tr>
<tr>
<td valign="middle" align="left">-CH<sub>3</sub> bending of polysaccharides</td>
<td valign="middle" align="center">1442.46</td>
<td valign="middle" align="center">1440.39</td>
<td valign="middle" align="center">1437.85</td>
</tr>
<tr>
<td valign="middle" align="left">C-O or C-OH stretching of polysaccharides, C-N stretching of amide III</td>
<td valign="middle" align="center">1263.05</td>
<td valign="middle" align="center">1262.41</td>
<td valign="middle" align="center">1260.44</td>
</tr>
<tr>
<td valign="middle" align="left">C-C or C-O stretching of polysaccharides</td>
<td valign="middle" align="center">1156.12</td>
<td valign="middle" align="center">1155.15</td>
<td valign="middle" align="center">1156.12</td>
</tr>
<tr>
<td valign="middle" align="left">C-O-C stretching in polysaccharides</td>
<td valign="middle" align="center">1104.53</td>
<td valign="middle" align="center">1104.05</td>
<td valign="middle" align="center">1104.53</td>
</tr>
<tr>
<td valign="middle" align="left">C-C, C-O or C-O-H stretching of polysaccharides</td>
<td valign="middle" align="center">1059.27</td>
<td valign="middle" align="center">1058.71</td>
<td valign="middle" align="center">1058.86</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The FTIR analysis further supported the role of microalgae in promoting root cell wall remodeling under Cd stress. Previous studies have indicated that oxygen-containing functional groups in cell wall polysaccharides, such as -COOH and -OH, serve as primary binding sites for heavy metals (<xref ref-type="bibr" rid="B53">Lin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B63">Meychik et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B115">Yu et&#xa0;al., 2021</xref>). The quantity and chemical state of these functional groups significantly influence the ability of plant cell wall to bind divalent metal cations (<xref ref-type="bibr" rid="B63">Meychik et&#xa0;al., 2021</xref>). In this study, microalgae treatment induced marked shifts in functional groups associated with Cd binding, including OH from pectin, CH<sub>3</sub> and C=O from pectin and hemicelluloses, and C-C or C-O-H from cellulose and hemicelluloses. These spectral changes reflected conformational rearrangements in pectin, cellulose and hemicelluloses, which likely optimized the spatial orientation and chemical reactivity of metal-binding groups, thereby facilitating Cd immobilization in the cell wall (<xref ref-type="bibr" rid="B102">Wei et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B50">Li A. et&#xa0;al., 2024</xref>). Notably, when microalgae treatment was applied, the Cd-binding capacity of hemicellulose I significantly increased despite no observable change in its content, pointing to potential structural modifications. The FTIR-detected vibrational shifts of functional groups such as C-C, C-O, C-O-H, and C=O under microalgae treatment partially support this inference. These spectral changes may reflect alterations in hydrogen bonding interactions, backbone conformation, side chain composition, or the degree of esterification of hemicellulose I, possibly increasing the exposure or spatial availability of functional groups such as hydroxyl and carboxyl groups involved in Cd coordination. Additionally, shifts in peaks associated with structural proteins implied potential adjustments of metal-binding domains, further supporting enhanced Cd sequestration in root tissues (<xref ref-type="bibr" rid="B53">Lin et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Root exudate metabolomic profiling</title>
<sec id="s3_8_1">
<label>3.8.1</label>
<title>Metabolite identification</title>
<p>A total of 2,083 compounds were identified in the root exudates of <italic>Perilla frutescens</italic>, with 1,363 detected in positive ion mode and 720 in negative ion mode (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>). PCA showed clear separations among the CK, ST, and SM groups, indicating significant alterations in root exudate profiles in response to Cd stress and microalgae treatment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6A</bold>
</xref>). To further explore these metabolic changes, PLS-DA was conducted to identify DAMs (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6C, D</bold>
</xref>), revealing 869 DAMs (384 upregulated/485 downregulated) for ST vs CK comparison and 534 DAMs (276 upregulated/258 downregulated) for SM vs ST comparison (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6E, F</bold>
</xref>). According to HMDB annotations, these DAMs were primarily classified as lipids and lipid-like molecules, phenylpropanoids and polyketides, organoheterocyclic compounds, and organic acids and derivatives (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6B</bold>
</xref>).</p>
<p>Under Cd stress, specific compounds were significantly upregulated, notably lysine butyrate, along with various phenylpropanoids and polyketides, while downregulated metabolites were predominantly lipids and lipid-like molecules (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S7</bold>
</xref>). Compared with the Cd-only group, microalgae treatment induced a greater number of upregulated metabolites, especially organic acids&#x2014;mainly amino acids, peptides, and analogues&#x2014;and organoheterocyclic compounds. Camptothecin and pyridoxamine 5-phosphate exhibited the highest fold changes. On the other hand, lipids and lipid-like molecules continued to dominate the downregulated metabolites, with phosphocholine showing the greatest reduction.</p>
<p>Root exudates are actively involved in metal mobilization, complexation, and detoxification (<xref ref-type="bibr" rid="B15">Chen et&#xa0;al., 2017</xref>). In addition to directly modulating heavy metal bioavailability via acidification, chelation, precipitation, and redox processes, they can also indirectly affect metal uptake by regulating root development, altering rhizosphere conditions, and shaping plant-microbe interactions (<xref ref-type="bibr" rid="B5">Bali et&#xa0;al., 2020</xref>). Among these, low-molecular-weight organic acids such as tartaric, oxalic, malic, and citric acids are well known to enhance Cd solubilization and facilitate its translocation to aboveground tissues (<xref ref-type="bibr" rid="B1">Agarwal et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B116">Zhang et&#xa0;al., 2024</xref>). These effects are largely attributed to the formation of soluble Cd-organic acid complexes. For example, malic acid, tartaric acid, and oxalic acid secreted by <italic>Sedum alfredii</italic> roots can form stable complexes with Cd, promoting its mobilization in the rhizosphere (<xref ref-type="bibr" rid="B90">Tao et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B92">Tao et&#xa0;al., 2020b</xref>), while <xref ref-type="bibr" rid="B52">Liao et&#xa0;al. (2023)</xref> demonstrated that oxalic, malic, and citric acids enhanced Cd translocation via xylem transport in <italic>Brassica juncea</italic>. Similarly, exogenous application of citric acid and glutaric acid has been shown to promote Cd uptake and translocation in sunflower (<xref ref-type="bibr" rid="B68">Niu et&#xa0;al., 2023</xref>). Despite these documented roles, the present metabolomic analysis did not reveal a significant increase in their levels in the microalgae co-treatment group compared to the Cd-only treatment, suggesting that they may not be the primary contributors to the enhanced Cd accumulation observed in this case. Instead, microalgae addition was associated with elevated levels of amino acid-related metabolites, such as L-aspartic acid, L-threonine, L-homocystine, tyrosylalanine, and valylproline. These molecules contain functional groups (e.g., amino and carboxyl groups) capable of forming stable coordination complexes with Cd and may contribute to Cd chelation or translocation. Aspartic acid and threonine have been reported to enhance Cd uptake in Chinese cabbage when applied exogenously (<xref ref-type="bibr" rid="B47">Li L. et&#xa0;al., 2024</xref>). Moreover, amino acids play important roles in maintaining cellular osmotic homeostasis and redox balance. Their accumulation can protect cells from oxidative damage and facilitate Cd detoxification (<xref ref-type="bibr" rid="B88">Sun et&#xa0;al., 2020</xref>). Increased levels of tyrosine derivatives observed here may indicate enhanced synthesis of phenolic compounds, which support antioxidant defenses and metal chelation in the rhizosphere (<xref ref-type="bibr" rid="B31">Guo et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Bali et&#xa0;al., 2020</xref>). Plant hormones are also implicated in Cd stress adaptation. Notably, methyl jasmonate (MeJA) and dihydrozeatin were also significantly elevated in the microalgae-treated group. MeJA has been reported to improve Cd tolerance in various species, such as rice, cucumber, and <italic>Cosmos bipinnatus</italic>, by enhancing biomass production, improving nutrient uptake, stabilizing photosynthetic function, regulating cell structure and boosting ROS-scavenging systems (<xref ref-type="bibr" rid="B42">Kanu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B25">Fan et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B69">Niu et&#xa0;al., 2025</xref>). Dihydrozeatin, a type of cytokinin, regulates cell differentiation and development and may help maintain root structure and function under stress conditions (<xref ref-type="bibr" rid="B96">Vinciarelli et&#xa0;al., 2025</xref>). Since a substantial proportion of photosynthetic products are released into the rhizosphere, metabolic profiles of root exudates can reveal how microalgae influence the adaptive responses of <italic>Perilla frutescens</italic> to Cd stress (<xref ref-type="bibr" rid="B26">Feng et&#xa0;al., 2021</xref>). The enrichment of vitamin B6 derivatives, particularly pyridoxamine 5-phosphate, could reinforce the antioxidant defense, while the upregulation of camptothecin suggests possible activation of signaling pathways related to stress response or secondary metabolism (<xref ref-type="bibr" rid="B58">Lu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B112">Yeshi et&#xa0;al., 2022</xref>). In contrast, downregulation of lipids, particularly the marked decrease in phosphocholine, may reflect membrane remodeling or alterations in lipid-mediated stress signaling (<xref ref-type="bibr" rid="B44">Laureano et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B70">Oubohssaine et&#xa0;al., 2025</xref>).</p>
</sec>
<sec id="s3_8_2">
<label>3.8.2</label>
<title>Key marker metabolites identification</title>
<p>To pinpoint key metabolites contributing to microalgae-enhanced Cd accumulation and tolerance, a random forest analysis was applied to the identified DAMs. The top 30 metabolites contributing most to the model accuracy and stability were identified (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Among these, 18 metabolites were significantly enriched in the SM group compared to ST. However, Mantel analysis revealed no significant correlation between these DAMs and Cd concentrations in plant tissues. Despite this, nine of these metabolites were positively correlated with plant biomass (<italic>p</italic>&lt;0.05), implying that their functions are more likely associated with enhancing Cd tolerance than directly promoting Cd uptake.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The random forest analysis of differentially accumulated metabolites (DAMs) in root exudates between the Cd/microalgae co-treated group (SM) and Cd-only treated group (ST). <bold>(A)</bold> Top 30 marker metabolites identified by the random forest classification, ranked by their contribution to model accuracy and stability. <bold>(B)</bold> Heatmap showing metabolite correlations, accompanied by Mantel analysis demonstrating the relationships among metabolites, Cd concentrations in plant tissues, and plant biomass. Metabolites enriched in the SM group are highlighted in red. <bold>(C)</bold> Cluster heatmap showing the differential abundances of metabolites between the SM and ST groups. The bar plot on the right shows log<sub>2</sub> fold change (log<sub>2</sub>FC) values and asterisks indicate statistical significance based on <italic>p</italic>-values. **<italic>p</italic>&lt;0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g005.tif">
<alt-text content-type="machine-generated">Panel A shows a bar chart ranking metabolites by mean decrease in accuracy, categorized into ST and SM enriched. Panel B is a correlation matrix assessing relationships between metabolites and plant traits using color coding for correlation and significance levels. Panel C displays a heatmap with hierarchical clustering, displaying the abundance of metabolites across SM and ST groups, accompanied by a bar chart highlighting log&#x2082; fold changes and significance levels.</alt-text>
</graphic>
</fig>
<p>Given this result, it was hypothesized that non-differentially accumulated metabolites may play a more important role in Cd accumulation. Therefore, the random forest analysis was expanded to include all detected metabolites, identifying 30 key metabolites differentiating the SM and ST groups (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Among these, 15 metabolites, mainly phenolic acids and flavonoids, were significantly enriched in the SM group. Eight metabolites showed significant positive correlations with Cd accumulation: ferulic acid, artemisic acid, isomucronulatol-7-O-glucoside, alpha-asarone, embelin, (1S,2S)-nicotine1-oxide, dihydroartemisinin, and 4-hydroxybenzoic acid. The findings suggested that these metabolites are likely functional contributors to the enhanced Cd accumulation observed under microalgae treatment.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The random forest analysis of all detected metabolites in the root exudates of Cd/microalgae co-treated (SM) and Cd-only treated (ST) samples. <bold>(A)</bold> Top 30 marker metabolites identified by the random forest classification, ranked by their contribution to model accuracy and stability. <bold>(B)</bold> Heatmap showing metabolite correlations, accompanied by Mantel analysis demonstrating the relationship between metabolites and Cd concentrations in plant tissues. Metabolites enriched in the SM group are highlighted in red. <bold>(C)</bold> Cluster heatmap showing the differential abundances of metabolites between the SM and ST groups. The bar plot on the right shows log<sub>2</sub> fold change (log<sub>2</sub>FC) values and asterisks indicate statistical significance based on <italic>p</italic>-values. *<italic>p</italic>&lt;0.05, **<italic>p</italic>&lt;0.01. Note: a, 4-(beta-D-Glucopyranosyloxy)-2-methylenebutanoic acid; b, 5-(6-hydroxy-6-methyloctyl)-2,5-dihydrofuran-2-one; c, 2,6-di[2-chloro-4-(dimethylamino)benzylidene]cyclohexan-1-one; d, methyl 1-isopropyl-1H-1,2,3-benzotriazole-5-carboxylate; e, 6,15-diketo-13,14-dihydro Prostaglandin F1&#x3b1;; f, (1S,2S)-Nicotine1-oxide; g, 2-(3,4-dihydroxyphenyl)-3,5,7-trihydroxy-6-methyl-4H-chromen-4-one; h, N-(1-benzyl-4-piperidinyl)-4-(1H-pyrazol-1-yl)benzamide.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g006.tif">
<alt-text content-type="machine-generated">Panel A is a bar graph showing mean decrease accuracy for various compounds, with blue bars indicating SM enrichment and red bars indicating ST enrichment. Panel B is a correlogram showing relationships and significance between compounds, with pathways marked for root and aboveground Cd. Panel C is a clustered heat map illustrating expression levels of compounds across groups SM and ST, with a side bar graph showing log2 fold change and significance levels.</alt-text>
</graphic>
</fig>
<p>The distinction between DAMs and non-DAMs reveals a functional divergence in how these metabolites respond to microalgae treatment. While DAMs are more closely linked to plant biomass, non-DAMs, especially phenolic acids and flavonoids, appear to play a more important role in Cd accumulation regulation and stress adaptation. For instance, phenolic compounds such as ferulic acid and 4-hydroxybenzoic acid are well-documented for their ability to chelate heavy metals through hydroxyl and carboxyl groups, and can form more stable complexes with Cd than low-molecular-weight organic acids (<xref ref-type="bibr" rid="B5">Bali et&#xa0;al., 2020</xref>). Such phenolic compounds not only facilitates Cd uptake and translocation within plants, but also contributes to ROS detoxification, thereby optimizing metal accumulation while alleviating cytotoxicity (<xref ref-type="bibr" rid="B43">Lanoue et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B5">Bali et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B14">Chen et&#xa0;al., 2020</xref>). Equally important are specialized metabolites like isomucronulatol-7-O-glucoside and embelin, whose potent antioxidant properties help stabilize cellular structures and scavenge stress-induced ROS (<xref ref-type="bibr" rid="B11">Caruso et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B73">Rao et&#xa0;al., 2022</xref>). Moreover, terpenoids enriched in microalgae-treated samples, such as artemisinin and dihydroartemisinin, have been shown in previous studies to possess antifungal and nematicidal activity, which may enhance plant resistance (<xref ref-type="bibr" rid="B113">You et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B99">Wang et&#xa0;al., 2022</xref>). These metabolites, though not meeting the differential metabolite screening criteria, may still be key regulators within the plant stress response network.</p>
</sec>
<sec id="s3_8_3">
<label>3.8.3</label>
<title>KEGG pathway enrichment analysis</title>
<p>KEGG pathway enrichment analysis revealed that Cd and microalgae treatment primarily affected pathways related to global and overview maps and amino acid metabolism (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C, D</bold>
</xref>). Compared to the control, Cd treatment significantly enriched DAMs involved in flavonoid biosynthesis, nicotinate and nicotinamide metabolism, and pentose and glucuronate interconversions (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). The enrichment of flavonoid biosynthesis reflects a typical stress response, where upregulated metabolites like luteolin and kaempferol contribute to metal ions chelation and ROS scavenging (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S6</bold>
</xref>) (<xref ref-type="bibr" rid="B79">Rice-Evans et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B8">Borowska et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B39">Jomova et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B118">Zhu et&#xa0;al., 2024</xref>). The activation of nicotinate and nicotinamide metabolism and pentose and glucuronate interconversions likely supports the biosynthesis of NAD<sup>+</sup>, NADP<sup>+</sup>, and NADPH, key cofactors in redox regulation and energy metabolism (<xref ref-type="bibr" rid="B18">Decros et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B2">Ahmad et&#xa0;al., 2021</xref>). These cofactors drive NADPH-dependent antioxidant defense, such as the glutathione cycle, which are critical for counteracting Cd-induced oxidative stress (<xref ref-type="bibr" rid="B38">Ishikawa et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B106">Xiao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Cassier-Chauvat et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B74">Rathore et&#xa0;al., 2024</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>KEGG enrichment analysis of differentially accumulated metabolites (DAMs) from various treatment comparisons. <bold>(A, B)</bold> show bubble plots of the top 20 enriched KEGG pathways for DAMs from different comparisons. The x-axis represents the enrichment factor (the number of DAMs in a given pathway divided by the total number of identified metabolites in that pathway). Bubble color indicates the <italic>p</italic>-value from the hypergeometric test, and bubble size reflects the number of DAMs in each pathway. <bold>(C, D)</bold> present KEGG classification of DAMs. The x-axis represents the proportion of metabolites assigned to each KEGG pathway relative to the total number of annotated metabolites. The right y-axis shows the primary KEGG pathway classifications and the left y-axis displays the corresponding secondary classifications.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1642230-g007.tif">
<alt-text content-type="machine-generated">Four-panel image compares metabolic pathways. Panel A: Bubble chart for ST vs. CK, showing pathway ratios and significance. Panel B: Bubble chart for SM vs. ST, indicating pathway ratios and significance. Panel C: Bar chart for ST vs. CK, displaying metabolite percentages in various categories. Panel D: Bar chart for SM vs. ST, illustrating metabolite percentages in categories.  Red stars highlight key pathways. Panel (A, B) Color gradients represent significance levels across all charts.</alt-text>
</graphic>
</fig>
<p>When microalgae were introduced, notable enrichment was observed in pathways including vitamin B6 metabolism, pantothenate and CoA biosynthesis, purine metabolism, caffeine metabolism and beta-alanine metabolism relative to Cd-only treatment (<italic>p</italic>&lt;0.05) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). The induction of the pantothenate and CoA biosynthesis pathway implies heightened energy demands and improved stress adaptation, while the enrichment of vitamin B6 metabolism may contribute to enhanced antioxidant defenses and tolerance to heavy metal stress (<xref ref-type="bibr" rid="B40">Jonczyk et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B66">Mwamba et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B98">Wang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B86">Song et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B109">Yan et&#xa0;al., 2024</xref>). Amino acid metabolism plays a crucial role in plant Cd adaptation and may influence Cd complexation and accumulation (<xref ref-type="bibr" rid="B5">Bali et&#xa0;al., 2020</xref>). In particular, alanine metabolism is considered a key pathway associated with Cd tolerance (<xref ref-type="bibr" rid="B88">Sun et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B80">Saeed et&#xa0;al., 2024</xref>). The caffeine metabolism pathway primarily involves the methylation and degradation of xanthine derivatives, which may help modulate defense capabilities of plants (<xref ref-type="bibr" rid="B108">Xu et&#xa0;al., 2024</xref>). In short, these observations reflected that microalgae supplementation enhanced plant resistance to Cd stress through coordinated improvements in antioxidant capacity, energy metabolism, and cellular repair processes.</p>
</sec>
</sec>
<sec id="s3_9">
<label>3.9</label>
<title>Interconnected root adaptations driving microalgae-enhanced Cd uptake</title>
<p>Based on the integrative analysis of physiological, structural, and biochemical responses, a mechanistic model is proposed to illustrate how microalgae promote Cd accumulation in <italic>Perilla frutescens</italic> through a dynamic and coordinated regulation at the root level. Firstly, microalgae treatment enhanced root antioxidant capacity, notably through increased POD activity, which reduced ROS accumulation and alleviated oxidative stress. This enhanced antioxidant defense helps maintain cellular homeostasis and metabolic activity, thereby preserving root physiological vigor and enabling efficient Cd uptake. Concurrently, structural modifications in the root cell wall, particularly in the hemicellulose I fraction, increase Cd retention capability. Such remodeling not only contributes to the immobilization of Cd within root tissues but also helps maintain structural integrity and functional stability under heavy metal stress. In parallel, microalgae treatment altered the composition and abundance of root exudates, promoting the release of compounds with metal-chelating, antioxidant, and plant growth-promoting properties. These exudates enhanced Cd bioavailability in the rhizosphere, while also contributing to root protection through ROS scavenging. Additionally, exudate-driven modulation of the rhizosphere microbial community may facilitate the recruitment of beneficial microbes that promote plant nutrient acquisition and stress tolerance (<xref ref-type="bibr" rid="B94">Upadhyay et&#xa0;al., 2022</xref>).</p>
<p>These mechanisms act synergistically to constitute an integrated adaptive strategy. Enhanced antioxidant activity maintains cellular homeostasis and supports a metabolically active root state, which facilitates the secretion of functional exudates. These exudates, in turn, contribute to maintaining root physiological activity and structural development by modulating the rhizosphere environment. Meanwhile, structural regulation of root cells reinforces root stability and sustains root function under stress, enabling the root system to maintain physiological activity and exudation. Together, these processes form a microalgae-driven positive feedback loop that amplifies Cd accumulation while preserving plant vitality under stress conditions.</p>
</sec>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusion</title>
<p>The application of microalgae enhanced Cd bioaccumulation in <italic>Perilla frutescens</italic>, attributed to improved Cd uptake efficiency and greater plant biomass. This enhancement was closely associated with microalgae-induced modifications in root physiology and structure, including elevated antioxidant responses, remodeling of the cell wall, and changes in root exudate profiles. Microalgae treatment increased POD activity in roots, alleviated lipid peroxidation and suppressed ROS generation. Also, it markedly promoted the secretion of defense-related compounds, particularly amino acid-related metabolites, phenolic acids, and flavonoids, which likely improved Cd bioavailability and plant tolerance through metal-binding and antioxidant properties. Furthermore, microalgae treatment mitigated the subcellular damage in root apical region and reshaped Cd partitioning within the root cell wall, significantly increasing Cd retention in hemicellulose I. These&#xa0;effects were accompanied by shifts in the absorption characteristics of functional groups related to Cd binding, reflecting improved structural stability and enhanced phytoextraction efficiency. Although this study was conducted under hydroponic conditions, the findings highlight the potential of microalgae as an effective tool for improving phytoremediation outcomes. This research offers theoretical support for improving agricultural and environmental management, particularly in the development of sustainable bioremediation strategies for heavy metal-polluted soils. However, further evaluations are needed to assess the scalability of microalgae application in field environments.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>YR: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Resources, Visualization, Methodology, Investigation. YS: Resources, Writing &#x2013; review &amp; editing. JL: Resources, Writing &#x2013; review &amp; editing. HZ: Writing &#x2013; review &amp; editing, Resources. YY: Writing &#x2013; review &amp; editing, Resources. YL: Writing &#x2013; review &amp; editing. JC: Writing &#x2013; review &amp; editing. XP: Writing &#x2013; review &amp; editing. ZZ: Methodology, Resources, Writing &#x2013; review &amp; editing, Supervision. JH: Project administration, Methodology, Supervision, Funding acquisition, Writing &#x2013; review &amp; editing, Conceptualization, Resources.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by grants from the CAMS Innovation Fund for Medical Sciences (CIFMS, No. 2021-I2M-1-071) and the National Key Research and Development Program of China (2022YFC3501503).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest.</p>
</sec>
<sec id="s9" 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>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1642230/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1642230/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table6.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>

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