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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1736435</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Iron-mediated remediation of arsenic-induced suppression of root morphogenesis and radial oxygen loss in wetland plant</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jiang</surname><given-names>Sitong</given-names></name>
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<name><surname>Zhu</surname><given-names>Zhengyu</given-names></name>
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<name><surname>Pan</surname><given-names>Yitong</given-names></name>
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<name><surname>Shi</surname><given-names>Rongrong</given-names></name>
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<name><surname>Uddin</surname><given-names>Mohammad Mazbah</given-names></name>
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<name><surname>Wang</surname><given-names>Song</given-names></name>
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<name><surname>Liu</surname><given-names>Jingchun</given-names></name>
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<name><surname>Mei</surname><given-names>Kang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Jiangsu Institute of Marine Resources Development, Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University</institution>, <city>Lianyungang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, College of the Environment and Ecology, Xiamen University</institution>, <city>Xiamen</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Civil and Environmental Engineering, Princeton University</institution>, <city>Princeton</city>, <state>NJ</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Key Laboratory of the Ministry of Education for Earth Surface Processes &amp; College of Urban and Environmental Sciences, Peking University</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Second Institute of Oceanography, Ministry of Natural Resources (MNR)</institution>, <city>Hangzhou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Kang Mei, <email xlink:href="mailto:kangmei@jou.edu.cn">kangmei@jou.edu.cn</email>; Jingchun Liu, <email xlink:href="mailto:liujingchun@xmu.edu.cn">liujingchun@xmu.edu.cn</email>; Song Wang, <email xlink:href="mailto:wangsong75@163.com">wangsong75@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-19">
<day>19</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1736435</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Jiang, Zhu, Pan, Shi, Wang, Uddin, Wang, Liu and Mei.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Jiang, Zhu, Pan, Shi, Wang, Uddin, Wang, Liu and Mei</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Arsenic (As) contamination in paddy soils disrupts root morphogenesis and radial oxygen loss (ROL), yet the dynamic interplay between iron (Fe) plaque formation and plant physiological adaptation remains poorly understood across temporal scales. This study investigated Fe-mediated mitigation of inorganic As toxicity through hydroponic experiments with varying As (0, 10, and 30 &#x3bc;mol/L) and Fe (0&#x2013;100 &#x3bc;mol/L) concentrations over exposure periods ranging from acute to chronic scenarios. Pot experiments revealed that 1-week high-As (HAs) exposure reduced chlorophyll content by 28% and suppressed ROL by 50% compared with the control group (CK), whereas prolonged low-As (LAs) exposure induced partial chlorophyll recovery (LAs &gt; CK &gt; HAs). Fe supplementation enhanced root biomass by 1.18&#x2013;2.39 times under chronic As stress and significantly increased ROL rates by 1.38&#x2013;2.83 times through Fe-plaque formation, which sequestered 38%&#x2013;52% of root-associated As. Root porosity peaked at 9.84% under As&#x2013;Fe co-treatment but showed an inverse correlation with ROL. Anatomical analysis revealed Fe-driven restoration of aerenchyma (46.32% cross-sectional area) and reinforcement of lignification barriers. These findings highlight Fe&#x2019;s dual role in alleviating As toxicity through physical immobilization and physiological adaptation, offering insights into Fe-based remediation strategies for As-contaminated wetlands.</p>
</abstract>
<kwd-group>
<kwd>arsenic-iron interaction</kwd>
<kwd>radial oxygen loss</kwd>
<kwd>rice seedlings</kwd>
<kwd>root morphogenesis</kwd>
<kwd>wetland plants</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>China Postdoctoral Science Foundation</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100002858</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">2025M772702</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Natural Science Foundation of Jiangsu Province</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100004608</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp2">BK20241063</award-id>
</award-group>
<award-group id="gs3">
<funding-source id="sp3">
<institution-wrap>
<institution>National Key Research and Development Program of China</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100012166</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for work and/or its publication. This study was funded by the China Postdoctoral Science Foundation (2025M772702), the Natural Science Foundation of Jiangsu Province, China (BK20241063), Postdoctoral Science Foundation of Lianyungang, China, the National Key Research and Development Program of China (2022YFC2807505) and the National Natural Science Foundation of China (Major Program 31530008).</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="3"/>
<ref-count count="48"/>
<page-count count="13"/>
<word-count count="6284"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop and Product Physiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Arsenic (As) contamination in wetland ecosystems, particularly rice paddies, represents a pervasive threat to global food security and public health. With more than 100 million people worldwide exposed to As through contaminated rice consumption, the urgency to understand and mitigate its impacts has never been greater (<xref ref-type="bibr" rid="B6">Dong et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B10">Guo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B18">Johnston et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B46">Zhao et&#xa0;al., 2010</xref>) In flooded paddy soils, As undergoes complex biogeochemical transformations in which iron&#x2013;sulfur cycling, organic matter dynamics, and microbial activity collectively govern its speciation and mobility (<xref ref-type="bibr" rid="B32">Mukherjee et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B38">Shi et&#xa0;al., 2020</xref>). The resulting inorganic species (As&#xb3;<sup>+</sup> and As<sup>5+</sup>) exhibit high bioavailability, disrupting essential physiological processes in wetland plants such as rice (<italic>Oryza sativa</italic> L.), including root morphogenesis, radial oxygen loss (ROL), and nutrient acquisition (<xref ref-type="bibr" rid="B11">Hasanuzzaman et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B40">Suda and Makino, 2016</xref>). This disruption not only compromises plant growth and productivity but also facilitates As entry into the food chain, creating a critical environmental health challenge.</p>
<p>The root&#x2013;soil interface serves as the primary site of As dynamics, where plant roots actively modify their immediate environment through the exudation of low-molecular-weight organic acids and dissolved organic carbon (<xref ref-type="bibr" rid="B17">Jiang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B26">Mei et&#xa0;al., 2023</xref>, <xref ref-type="bibr" rid="B28">Mei et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B41">Uddin et&#xa0;al., 2024</xref>) These exudates alter sediment pH, redox potential, and mineral surface properties, simultaneously influencing As mobilization and immobilization (<xref ref-type="bibr" rid="B16">Jia et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B20">Liu et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B25">Mei et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Zheng et&#xa0;al., 2013</xref>). Particularly significant is the iron plaque&#x2014;a complex mixture of iron (oxyhydr)oxides precipitated on root surfaces&#x2014;which can sequester substantial amounts of As through adsorption and co-precipitation (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2017</xref>). However, the efficacy of this natural barrier varies considerably with environmental conditions, root physiology, and As exposure regimes. Although numerous studies have characterized these processes in soil systems, the intricate interplay of multiple factors often obscures causal relationships, highlighting the need for controlled investigations to isolate key mechanisms.</p>
<p>Hydroponic systems offer a strategic approach to dissect fundamental plant physiological responses to As stress and Fe-mediated mitigation, free from the confounding variables inherent in soil environments. Although hydroponic conditions may not fully replicate field scenarios&#x2014;particularly regarding microbial diversity, soil texture, and organic matter interactions&#x2014;they provide unparalleled precision in controlling ion concentrations and monitoring temporal changes in root physiology (<xref ref-type="bibr" rid="B2">Cao et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B21">Liu et&#xa0;al., 2022</xref>). This reductionist framework is essential for establishing cause&#x2013;effect relationships before advancing to more complex soil systems. Despite previous research, several critical knowledge gaps persist: first, the temporal dynamics of Fe-plaque formation and its effectiveness across acute to chronic As exposure remain poorly resolved; second, the interplay between Fe amendment, root anatomical adaptation, and ROL regulation under prolonged As stress is inadequately understood; and third, the potential trade-offs between As sequestration and the metabolic costs associated with Fe-plaque maintenance require systematic evaluation.</p>
<p>This study employs a multi-temporal hydroponic experiment to investigate Fe-mediated mitigation of As toxicity in rice seedlings, with a specific focus on root morphological plasticity and ROL patterns. We hypothesize that Fe amendment differentially alleviates As-induced physiological suppression across exposure durations and concentrations through enhanced plaque formation and subsequent root anatomical modifications. By integrating quantitative assessments of Fe-plaque development, root porosity, aerenchyma formation, and ROL kinetics, we aim to: (1) delineate the temporal efficacy of Fe in counteracting As toxicity, (2) identify the root morphological and anatomical traits most responsive to Fe supplementation, and (3) establish the relationship between plaque properties and As sequestration capacity. Our findings will advance the mechanistic understanding of plant adaptive responses to metalloid stress and inform the development of targeted Fe-based remediation strategies for As-contaminated wetland ecosystems.</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 setup</title>
<p>In this study, we used rice seeds (<italic>Oryza sativa</italic> L. Jiafuzhan) obtained from the School of Life Sciences, Xiamen University, China. To prepare the seeds for experimental treatments, the following streamlined protocol was followed. Step 1, seed selection and sterilization: Fully matured rice seeds were selected to ensure consistent germination and growth. The seeds were first rinsed with ultrapure water to remove surface contaminants, then disinfected by immersion in 70% ethanol for 30 s. Subsequently, the seeds were soaked in 10% hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) for 10 min for enhanced sterilization (<xref ref-type="bibr" rid="B30">Miche and Balandreau, 2001</xref>). Finally, the seeds were rinsed with sterile ultrapure water to remove residual disinfectants. Step 2, seed germination: Sterilized seeds were placed in an illumination incubator (Ningbo Saifu, China) at 25 &#xb0;C in complete darkness for 24 h to promote water absorption and initiate germination, facilitating uniform sprout development. Step 3, seedling establishment: Post-germination, seeds were evenly distributed on a sand net to support root development. Irrigation commenced with Hoagland solution (details in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>) at 25% concentration. The nutrient solution was replaced every 3 days, with the concentration gradually increased until full-strength (100%) Hoagland solution was attained (<xref ref-type="bibr" rid="B23">Majidi et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>). Step 4, seedling growth and preparation: Seedlings were cultivated in a greenhouse for 1 month under controlled conditions (25 &#xb1; 2&#xb0;C with a 12-h light/12-h dark photoperiod) (<xref ref-type="bibr" rid="B5">Cui et&#xa0;al., 2023</xref>). Following cultivation, seedlings exhibiting uniform growth were selected for subsequent experimental treatments.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment of pot-cultivated seedlings</title>
<p>After transferring seedlings into hydroponic conditions, 1-month seedlings were subjected to varying concentrations of sodium arsenite (NaAsO<sub>2</sub>) and ferrous sulfate (FeSO<sub>4</sub>) to assess their combined effects over different exposure periods according to previous studies (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B42">Wang et&#xa0;al., 2021</xref>). The experimental design included three arsenite levels (Control: 0 &#x3bc;mol/L; Low As: 10 &#x3bc;mol/L; High As: 30 &#x3bc;mol/L) and amended ferrous iron concentrations (No additional Fe: 0 &#x3bc;mol/L; With additional Fe: 100 &#x3bc;mol/L). The following treatments were applied:</p>
<p>(1) CK+No-Fe: Control + No additional Fe; (4) CK+With-Fe: Control + Fe addition;</p>
<p>(2) LAs+No-Fe: Low As + No additional Fe; (5) LAs+With-Fe: Low As + Fe addition;</p>
<p>(3) HAs+No-Fe: High As + No additional Fe; (6) HAs+With-Fe: High As + Fe addition.</p>
<p>The study examined rice seedlings during the vegetative growth stage, prior to the booting phase. Seedlings underwent As exposures for 1 day, 1 week, and 1 month, with three replicates per treatment. All pots were randomly arranged in the illumination incubator under the same conditions described above.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Plant growth attributes and root morphology</title>
<p>To assess seedling growth, fresh weight biomass was measured using an electronic balance after collecting uniformly grown seedlings from each replicate. The dry weight of the seedlings was determined after oven-drying at 60 &#xb0;C for 72 h until a constant weight was achieved. Fully expanded true leaves on plants were collected in triplicate for chlorophyll pigment analysis. Fresh leaves (~0.2 g) were ground, homogenized, and extracted using 90% acetone in darkness at 4 &#xb0;C for 24 h. The extract was then centrifuged at 3000 rpm for 15 min, and the chlorophyll content in the supernatant was quantified using a UV&#x2013;Vis spectrometer (Beijing Ruili, China) at wavelengths of 663 and 645 nm. Root morphology&#x2014;including root length, diameter, surface area, and volume&#x2014;was analyzed using a scanning apparatus (LA-S Plant Image Analyzer, Hangzhou Wseen, China).</p>
<p>To investigate the effects of As and Fe on plant root lignification, transverse root sections were prepared and analyzed. Fresh root segments (6&#x2013;8 cm) were hand-sectioned using a rotary microtome. The sections were mordanted with ferric ammonium sulfate and stained with diluted hematoxylin to visualize lignified cell walls (<xref ref-type="bibr" rid="B15">Ji et&#xa0;al., 2006</xref>). Stained sections were subsequently examined and imaged under a photomicroscope.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Root porosity determination</title>
<p>Root porosity (POR) was determined using the pycnometer method. Fresh lateral roots (0.5 g) were cut into segments and wiped with air-laid paper prior to measurement (<xref ref-type="bibr" rid="B29">Mei et&#xa0;al., 2014</xref>). POR was calculated using <xref ref-type="disp-formula" rid="eq1">Equation 1</xref>:</p>
<disp-formula id="eq1"><label>(1)</label>
<mml:math display="block" id="M1"><mml:mrow><mml:mtext>POR</mml:mtext><mml:mo stretchy="false">(</mml:mo><mml:mo>%</mml:mo><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mn>100</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>P</mml:mi><mml:mi>W</mml:mi><mml:mi>V</mml:mi><mml:mi>R</mml:mi><mml:mo>-</mml:mo><mml:mi>P</mml:mi><mml:mi>W</mml:mi><mml:mi>R</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">/</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mi>P</mml:mi><mml:mi>W</mml:mi><mml:mo>+</mml:mo><mml:mi>F</mml:mi><mml:mi>R</mml:mi><mml:mo>-</mml:mo><mml:mi>P</mml:mi><mml:mi>W</mml:mi><mml:mi>R</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>PWVR</italic> (g) is the weight of the pycnometer with ultrapure water and vacuumed root; <italic>PWR</italic> (g) is the weight of the pycnometer with ultrapure water and fresh root; <italic>PW</italic> (g) is the weight of the pycnometer filled with ultrapure water; and <italic>FR</italic> (g) is the weight of the fresh root.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Assessment of radial oxygen loss rates</title>
<p>The rate of ROL in seedlings was measured using a modified titanium (Ti<sup>3+</sup>) citrate method (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B29">Mei et&#xa0;al., 2014</xref>). Roots were immersed in a deoxygenated titanium (Ti<sup>3+</sup>) citrate solution under dark conditions and sealed with a 2 cm paraffin oil layer to prevent atmospheric oxygen intrusion. The incubation was conducted for 24 h at room temperature under a 12-h light/12-h dark cycle. Afterward, the solution was gently agitated and sampled with syringes. The absorbance of the oxidized titanium (Ti<sup>3+</sup>) citrate was measured at 527 nm using a UV&#x2013;Vis spectrometer (Beijing Ruili, China), corresponding to the absorption peak of its oxidized form. The ROL rate (mM O<sub>2</sub> day<sup>&#x2212;1</sup> g<sup>&#x2212;1</sup> DW) was calculated using <xref ref-type="disp-formula" rid="eq2">Equation 2</xref>:</p>
<disp-formula id="eq2"><label>(2)</label>
<mml:math display="block" id="M2"><mml:mrow><mml:mtext>ROL&#xa0;rate&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>-</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>C</mml:mi><mml:mi>b</mml:mi></mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#xd7;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>V</mml:mi><mml:mo stretchy="false">/</mml:mo><mml:mi>W</mml:mi></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>V</italic> is the initial volume (L) of Ti<sup>3+</sup>-citrate; <italic>C<sub>b</sub></italic> is Ti<sup>3+</sup> concentration (&#x3bc;mol/L) in the blank; <italic>C<sub>i</sub></italic> is the Ti&#xb3;<sup>+</sup> concentration (&#x3bc;mol/L) after 24 h incubation with the rice seedling; and <italic>W</italic> is the root dry weight (g DW).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Root iron plaque extraction</title>
<p>Iron plaque was extracted from fresh roots with the dithionite&#x2013;citrate&#x2013;bicarbonate (DCB) solution, following established protocols to determine As and Fe contents in the plaque (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B29">Mei et&#xa0;al., 2014</xref>). The iron plaque extract was digested with H<sub>2</sub>SO<sub>4</sub>/H<sub>2</sub>O<sub>2</sub> at 120&#xb0;C for 6 h. The digested mixture was then centrifuged at 8000 rpm for 5 min (Hettich Universal 320R Centrifuge, Germany) and filtered through a 0.45 &#x3bc;m membrane. Fe concentration was measured via atomic absorption spectroscopy (AAS Vario 6, Thermo Fisher Scientific, USA), and As concentration was assessed by atomic fluorescence spectrometry (AFS-930, Beijing Jitian, China).</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Fe and As translocation into the seedlings</title>
<p>Roots (without iron plaque), stems, and leaves of all treated seedlings were freeze-dried at &#x2013;20&#xb0;C, weighed to determine dry weight and biomass, and analyzed for Fe and As content. Each plant part was ground using a ball mill and passed through an 80-mesh sieve to obtain a fine powder. Subsamples (~0.2 g) were digested overnight with 5 mL nitric acid at room temperature. The following day, 2 mL hydrogen peroxide was added and heated at 120 &#xb0;C for 6 h until fully digested (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>). The cooled digest solution was then diluted with 5% hydrochloric acid and stored at &#x2013;20 &#xb0;C for subsequent analysis. Fe and As concentrations were determined as described above.</p>
<p>The translocation factor (TFAs), defined as the ratio of As content in aerial parts (leaf and stem) to that in roots, was calculated using <xref ref-type="disp-formula" rid="eq3">Equation 3</xref>:</p>
<disp-formula id="eq3"><label>(3)</label>
<mml:math display="block" id="M3"><mml:mrow><mml:mtext>TFAs&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mn>100</mml:mn><mml:mo>%</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#xd7;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>A</mml:mi><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mi>i</mml:mi><mml:mi>a</mml:mi><mml:msub><mml:mi>l</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo stretchy="false">/</mml:mo><mml:mi>R</mml:mi><mml:mi>o</mml:mi><mml:mi>o</mml:mi><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>
</disp-formula>
<p>where Aerail<sub>As</sub> is the As content in the leaf and stem, <italic>Root<sub>As</sub></italic> is the As content in the root.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>The significance of measured parameters was determined using one-way ANOVA. Differences among treatments were further analyzed with one-way ANOVA followed by Duncan&#x2019;s multiple comparison test. Geisser&#x2013;Greenhouse correction was applied to account for variance homogeneity. Different letters indicated significant differences among treatments at <italic>p</italic> &lt; 0.05. Spearman&#x2019;s correlation analysis was used to identify relationships among parameters. Redundancy analysis (RDA) was performed to explore the relationships between plant morphological variables and Fe/As distribution using R with the Vegan package. Data statistics and visualizations were performed using SPSS Statistics 23.0, GraphPad Prism 9, and the R statistics package (version 4.0.2, <ext-link ext-link-type="uri" xlink:href="https://www.r-project.org">https://www.r-project.org</ext-link>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Chlorophyll content under arsenic stress</title>
<p>As exposure significantly influenced chlorophyll content in rice seedlings, with both exposure duration and concentration playing critical roles. Chlorophyll levels exhibited an initial increase followed by a decrease over time, peaking at 263.84 mg&#xb7;L&#x207b;&#xb9; after 1 week of treatment across all groups (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1a</bold></xref>). Although As exposure significantly affected chlorophyll content, plants under prolonged (1-month) low-level As (LAs) stress showed partial recovery, with chlorophyll content slightly exceeding that of the control group (CK), although this difference was not statistically significant (<italic>p</italic> &gt; 0.05; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1a</bold></xref>). Importantly, Fe supplementation demonstrated a time-dependent mitigation effect. Although it did not alleviate As-induced chlorophyll loss after 1 month, high-concentration Fe application significantly enhanced chlorophyll content during the early stress phase (1 week; <italic>p &lt;</italic> 0.05; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Chlorophyll content <bold>(a)</bold> and biomass <bold>(b)</bold> of the rice seedlings <italic>(O. Sativa)</italic> exposed to different As and Fe treatments after transplanting 30-day old seedlings. Different letters within each time group indicate significant differences among Fe and As treatments at <italic>p&lt;</italic> 0.05 according to Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g001.tif">
<alt-text content-type="machine-generated">Two bar charts labeled (a) and (b) display the effects of different treatments over time. Chart (a) shows chlorophyll levels in milligrams per liter, indicating variations over one day, one week, and one month for CK, LAs, and HAs treatments. Chart (b) depicts plant biomass in grams for the same treatments and timeframes. Bars are color-coded for No-Fe and With-Fe groups, and annotated with letters to denote statistical differences.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Effects of As and Fe interactions on root morphology-related parameters in <italic>O. Sativa</italic> seedlings (n=3).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Time</th>
<th valign="middle" align="center">Fe amended</th>
<th valign="middle" align="center">As treatment</th>
<th valign="middle" align="center">Root length (cm)</th>
<th valign="middle" align="center">Root surface (cm<sup>2</sup>)</th>
<th valign="middle" align="center">Root volume (cm<sup>3</sup>)</th>
<th valign="middle" align="center">Root diameter (mm)</th>
<th valign="middle" align="center">Porosity of root (%)</th>
<th valign="middle" align="center">Root dry weight (g DW)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="7" align="left">1 day</td>
<td valign="top" align="left" rowspan="3">No-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">95.9 &#xb1; 10.4a</td>
<td valign="middle" align="center">5.52 &#xb1; 1.28b</td>
<td valign="middle" align="center">0.03 &#xb1; 0.01b</td>
<td valign="middle" align="center">0.17 &#xb1; 0.01c</td>
<td valign="middle" align="center">4.72 &#xb1; 0.70a</td>
<td valign="middle" align="center">0.011 &#xb1; 0.001b</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">114.7 &#xb1; 20.6a</td>
<td valign="middle" align="center">7.76 &#xb1; 1.65a</td>
<td valign="middle" align="center">0.05 &#xb1; 0.01a</td>
<td valign="middle" align="center">0.20 &#xb1; 0.01ab</td>
<td valign="middle" align="center">4.59 &#xb1; 1.01ab</td>
<td valign="middle" align="center">0.012 &#xb1; 0.001ab</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">95.2 &#xb1; 3.6a</td>
<td valign="middle" align="center">6.32 &#xb1; 0.61ab</td>
<td valign="middle" align="center">0.04 &#xb1; 0.01ab</td>
<td valign="middle" align="center">0.20 &#xb1; 0.01ab</td>
<td valign="middle" align="center">3.71 &#xb1; 0.96ab</td>
<td valign="middle" align="center">0.012 &#xb1; 0.001ab</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">With-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">112.7 &#xb1; 17.0a</td>
<td valign="middle" align="center">6.88 &#xb1; 1.42ab</td>
<td valign="middle" align="center">0.04 &#xb1; 0.01ab</td>
<td valign="middle" align="center">0.17 &#xb1; 0.02c</td>
<td valign="middle" align="center">3.65 &#xb1; 1.09ab</td>
<td valign="middle" align="center">0.02 &#xb1; 0.004a</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">98.1 &#xb1; 2.03a</td>
<td valign="middle" align="center">6.91 &#xb1; 0.53ab</td>
<td valign="middle" align="center">0.05 &#xb1; 0.01a</td>
<td valign="middle" align="center">0.21 &#xb1; 0.01a</td>
<td valign="middle" align="center">3.66 &#xb1; 0.17ab</td>
<td valign="middle" align="center">0.02 &#xb1; 0.001a</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">105.1 &#xb1; 10.7a</td>
<td valign="middle" align="center">7.05 &#xb1; 0.69ab</td>
<td valign="middle" align="center">0.05 &#xb1; 0.004a</td>
<td valign="middle" align="center">0.18 &#xb1; 0.01bc</td>
<td valign="middle" align="center">3.10 &#xb1; 0.35b</td>
<td valign="middle" align="center">0.02 &#xb1; 0.002a</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center"><bold>Fe addition</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.020</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.003</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.012</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.01</bold></td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="left">1 week</td>
<td valign="top" align="left" rowspan="3">No-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">102.3 &#xb1; 12.6C</td>
<td valign="middle" align="center">9.63 &#xb1; 1.15B</td>
<td valign="middle" align="center">0.10 &#xb1; 0.01B</td>
<td valign="middle" align="center">0.40 &#xb1; 0.09A</td>
<td valign="middle" align="center">6.30 &#xb1; 0.19A</td>
<td valign="middle" align="center">0.01 &#xb1; 0.002B</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">196.5 &#xb1; 25.5AB</td>
<td valign="middle" align="center">25.7 &#xb1; 3.99A</td>
<td valign="middle" align="center">0.33 &#xb1; 0.09A</td>
<td valign="middle" align="center">0.41 &#xb1; 0.05A</td>
<td valign="middle" align="center">4.85 &#xb1; 0.10B</td>
<td valign="middle" align="center">0.02 &#xb1; 0.001A</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">145.5 &#xb1; 6.9BC</td>
<td valign="middle" align="center">15.89 &#xb1; 2.05B</td>
<td valign="middle" align="center">0.17 &#xb1; 0.04B</td>
<td valign="middle" align="center">0.35 &#xb1; 0.01A</td>
<td valign="middle" align="center">6.71 &#xb1; 0.57A</td>
<td valign="middle" align="center">0.01 &#xb1; 0.001B</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">With-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">148.4 &#xb1; 8.9BC</td>
<td valign="middle" align="center">14.61 &#xb1; 2.58B</td>
<td valign="middle" align="center">0.16 &#xb1; 0.05B</td>
<td valign="middle" align="center">0.35 &#xb1; 0.02A</td>
<td valign="middle" align="center">3.34 &#xb1; 0.73C</td>
<td valign="middle" align="center">0.02 &#xb1; 0.004A</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">212.2 &#xb1; 10.6A</td>
<td valign="middle" align="center">33.0 &#xb1; 11.66A</td>
<td valign="middle" align="center">0.42 &#xb1; 0.13A</td>
<td valign="middle" align="center">0.37 &#xb1; 0.03A</td>
<td valign="middle" align="center">3.68 &#xb1; 0.57BC</td>
<td valign="middle" align="center">0.02 &#xb1; 0.001A</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">243 &#xb1; 22.7A</td>
<td valign="middle" align="center">27.78 &#xb1; 2.48A</td>
<td valign="middle" align="center">0.33 &#xb1; 0.05A</td>
<td valign="middle" align="center">0.34 &#xb1; 0.01A</td>
<td valign="middle" align="center">3.69 &#xb1; 1.13BC</td>
<td valign="middle" align="center">0.01 &#xb1; 0.001B</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center"><bold>Fe addition</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.002</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.001</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="left">1 month</td>
<td valign="top" align="left" rowspan="3">No-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">319.7 &#xb1; 117.3a</td>
<td valign="middle" align="center">40.54 &#xb1; 13.65b</td>
<td valign="middle" align="center">0.60 &#xb1; 0.25b</td>
<td valign="middle" align="center">0.41 &#xb1; 0.04bc</td>
<td valign="middle" align="center">5.75 &#xb1; 0.77b</td>
<td valign="middle" align="center">0.04 &#xb1; 0.01a</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">268.2 &#xb1; 41.6a</td>
<td valign="middle" align="center">31.03 &#xb1; 2.51b</td>
<td valign="middle" align="center">0.52 &#xb1; 0.21b</td>
<td valign="middle" align="center">0.38 &#xb1; 0.01cd</td>
<td valign="middle" align="center">4.42 &#xb1; 0.65bc</td>
<td valign="middle" align="center">0.04 &#xb1; 0.02a</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">427.5 &#xb1; 63.4a</td>
<td valign="middle" align="center">43.77 &#xb1; 9.24b</td>
<td valign="middle" align="center">0.52 &#xb1; 0.13b</td>
<td valign="middle" align="center">0.34 &#xb1; 0.01d</td>
<td valign="middle" align="center">9.13 &#xb1; 0.72a</td>
<td valign="middle" align="center">0.04 &#xb1; 0.03a</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">With-Fe</td>
<td valign="middle" align="left">CK</td>
<td valign="middle" align="center">409.5 &#xb1; 128.2a</td>
<td valign="middle" align="center">68.87 &#xb1; 20.92a</td>
<td valign="middle" align="center">1.19 &#xb1; 0.40a</td>
<td valign="middle" align="center">0.48 &#xb1; 0.02a</td>
<td valign="middle" align="center">9.44 &#xb1; 0.35a</td>
<td valign="middle" align="center">0.06 &#xb1; 0.01a</td>
</tr>
<tr>
<td valign="middle" align="left">LAs</td>
<td valign="middle" align="center">312.4 &#xb1; 55.2a</td>
<td valign="middle" align="center">37.79 &#xb1; 5.68b</td>
<td valign="middle" align="center">0.53 &#xb1; 0.03b</td>
<td valign="middle" align="center">0.40 &#xb1; 0.02bc</td>
<td valign="middle" align="center">4.00 &#xb1; 1.74c</td>
<td valign="middle" align="center">0.04 &#xb1; 0.004a</td>
</tr>
<tr>
<td valign="middle" align="left">HAs</td>
<td valign="middle" align="center">506.2 &#xb1; 128.7a</td>
<td valign="middle" align="center">67.41 &#xb1; 22.62a</td>
<td valign="middle" align="center">1.00 &#xb1; 0.42ab</td>
<td valign="middle" align="center">0.44 &#xb1; 0.04ab</td>
<td valign="middle" align="center">3.85 &#xb1; 0.68c</td>
<td valign="middle" align="center">0.04 &#xb1; 0.003a</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="center"><bold>Fe addition</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.031</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.002</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> = 0.021</bold></td>
<td valign="middle" align="center"><bold>NS</bold></td>
</tr>
<tr>
<td valign="middle" colspan="3" align="center"><bold>Time treatment</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
<td valign="middle" align="center"><bold><italic>p</italic> &lt; 0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different letters in each time group indicate significant differences among Fe and As treatments at <italic>p</italic> &lt; 0.05 by Duncan&#x2019;s test. Bold values indicate significant differences for each parameter with regard to the Fe addition treatment or the time treatment.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Biomass responses to arsenic&#x2013;iron interactions</title>
<p>As exposure significantly inhibited rice seedling growth, with root dry weight showing a clear time- and concentration-dependent response (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1b</bold></xref>). Although root biomass generally increased over the 1-month experimental period, reaching a maximum of 0.52 g in the control groups, it was substantially suppressed under As stress. After 1 month of exposure, root dry weight showed significant concentration-dependent inhibition (CK &gt; LAs, HAs), declining to as low as 0.12 g in the HAs treatment. Notably, Fe supplementation effectively mitigated this suppression, particularly under prolonged stress. After 1 month, Fe-amended treatments produced plant biomass that was 1.18&#x2013;1.28 times greater than their respective no-additional-Fe counterparts at equivalent As contents, demonstrating Fe&#x2019;s crucial role in maintaining root growth under chronic As toxicity.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Dynamics of root morphology and dry weight</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Temporal changes in root architecture</title>
<p>Root morphological parameters (length, surface area, volume, and average diameter) increased significantly during the 1-month cultivation period, peaking after 1 month of Fe amendment (root length: 409.5 cm; surface area: 68.87 cm&#xb2;; volume: 1.19 cm&#xb3;; diameter: 0.48 mm; <italic>p</italic> &lt; 0.01; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>). The response patterns were shaped by the combined effects of As concentration and exposure duration. LAs exposure after 1 week stimulated root growth (LAs &gt; HAs &gt; CK), whereas 1-month HAs exposure suppressed root volume and diameter (CK &gt; HAs &gt; LAs). Notably, under prolonged 1-month As stress, root length and surface area followed the order HAs &gt; CK &gt; LAs (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>; <italic>p</italic> &gt; 0.05). Fe supplementation significantly alleviated the As-induced suppression of root volume and diameter after 1 month of exposure (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Root dry weight</title>
<p>The RDW results exhibited distinct temporal and concentration-dependent responses to As exposure (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>). Although RDW increased over time across all treatments, reaching a maximum of 0.07 g in the control groups after 1 month, As exposure significantly altered this progression. After 1 week, low As (LAs) treatment induced a slight stimulatory effect on RDW (LAs &gt; CK &gt; HAs; <italic>p</italic> &gt; 0.05). In contrast, prolonged exposure (1 month) resulted in significant concentration-dependent suppression, with RDW following a decreasing order of CK &gt; LAs (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>).</p>
<p>Notably, Fe amendment effectively alleviated this chronic As toxicity, enhancing RDW by 1.18&#x2013;2.39 times compared with the corresponding non-Fe treatments at equivalent As levels after 1 month.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Root porosity and aerenchyma formation</title>
<p>Root porosity increased in a time-dependent manner under As&#x2013;Fe interactions, peaking at 9.84% after 1 month of treatment (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Acute As exposure (1 day) suppressed porosity (CK &gt; LAs &gt; HAs), whereas prolonged HAs exposure (1 week and 1 month) promoted it (HAs &gt; CK &gt; LAs). Counterintuitively, Fe amendment reduced porosity, with No-Fe groups exhibiting 1.32&#x2013;1.91 times higher porosity than their Fe-treated counterparts at 1 week (<italic>p</italic> &lt; 0.05).</p>
<p>Anatomically, aerenchyma formation initiated within 1 day (accounting for ~17% of the root cross-sectional area) and progressed to 46.3% under 1-month As&#x2013;Fe co-treatment. The aerenchyma displayed radial, wheel-like structures (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) formed via lysigenous programmed cell death (PCD) of cortical parenchyma. Iron supplementation tended to increase the proportion of gas-filled tissue.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Anatomical microscopy images of rice root transverse sections exposed to As and Fe treatments for 1 month at the tillering stage. <bold>(a)</bold> Control without Fe; <bold>(b)</bold> low As without Fe<sub>;</sub><bold>(c)</bold> high As without Fe; <bold>(d)</bold> control with Fe amendment; <bold>(e)</bold> low As with Fe amendment; and <bold>(f)</bold> high As with Fe amendment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g002.tif">
<alt-text content-type="machine-generated">Microscopic images of six plant stem cross-sections labeled a to f. Images a and b show red circles highlighting specific areas. Each section exhibits distinct cellular patterns and structural details. Image c appears more blue, while image f shows a purplish hue. All images have a scale bar indicating 200 micrometers.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Radial oxygen loss (ROL) and iron plaque dynamics</title>
<p>The ROL rate increased significantly with prolonged treatment duration, reaching 64.46 mM O<sub>2</sub>&#xb7;day&#x207b;&#xb9;&#xb7;g&#x207b;&#xb9; DW at 1 month (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). After 1-week treatment, the As content in the iron plaque on the root surface showed a significant positive correlation with the Fe content (R<sup>2</sup> = 0.92, <italic>p</italic> &lt; 0.05). After 1 month, the Fe plaque content did not increase significantly (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3e</bold></xref>), yet As accumulation continued to rise.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Root exudation of radial oxygen loss (ROL) and root plaque&#x2013;bound metals in <italic>Oryza sativa</italic> exposed to As and Fe treatments. <bold>(a)</bold> ROL rates; <bold>(b)</bold> root plaque Fe; <bold>(c)</bold> root plaque As; <bold>(d)</bold> ROL vs. plaque Fe; and <bold>(e)</bold> plaque As vs. plaque Fe. Different letters within each time group indicate significant differences among treatments at <italic>p &lt;</italic> 0.05 according to Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g003.tif">
<alt-text content-type="machine-generated">Bar and scatter plots show data on root oxygen loss (ROL), root plaque iron (Fe), and arsenic (As) levels over time (1 day, 1 week, 1 month) for No-Fe and With-Fe conditions. (a) ROL increases over time. (b) Root plaque Fe shows higher levels for With-Fe, peaking at 1 week. (c) Similar trend for root plaque As. (d, e) Scatter plots relate ROL and As to Fe with varying correlation coefficients, showing strongest relation at 1 week. Statistical significance is indicated with asterisks.</alt-text>
</graphic></fig>
<p>Overall, ROL intensity increased with root growth in conjunction with iron plaque development (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3a, d</bold></xref>). As content negatively regulated ROL (CK &gt; LAs &gt; HAs), with HAs treatment suppressing the ROL rate to 50% of the control level after 1 month. Fe supplementation counteracted this As-induced inhibition, elevating ROL rates by 1.38&#x2013;2.83 times in As-treated groups at 1 week.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Arsenic translocation and mobility</title>
<p>The contents of As and Fe in plant tissues of <italic>O. sativa</italic> are shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. Fe treatment significantly affected Fe contents in roots, stems, and leaves, while exposure duration markedly influenced the redistribution of As and Fe within plant tissues (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). After 1 month of treatment, the Fe-treated group showed significantly higher root As content than the non-Fe-treated group under the same As exposure (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4b</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Content of As and Fe in plant tissues of <italic>Oryza sativa</italic> under As and Fe treatments. <bold>(a)</bold> Fe content in the root; <bold>(b)</bold> As content in the root; <bold>(c)</bold> Fe content in the stem; <bold>(d)</bold> As content in the stem; <bold>(e)</bold> Fe content in the leaf; and <bold>(f)</bold> As content in the leaf. Different letters within each time group indicate significant differences among treatments at <italic>p</italic> &lt; 0.05 according to Duncan&#x2019;s test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g004.tif">
<alt-text content-type="machine-generated">Grouped bar charts displaying iron (Fe) and arsenic (As) concentrations in roots, stems, and leaves over different times. Each chart compares no-iron (blue) and with-iron (purple) treatments across control (CK), low arsenic (LAs), and high arsenic (HAs) conditions at 1 day, 1 week, and 1 month intervals. Charts (a) and (b) show root concentrations, (c) and (d) show stem concentrations, and (e) and (f) show leaf concentrations, with significant differences indicated by letters.</alt-text>
</graphic></fig>
<p>As exposure for 1 week resulted in higher arsenic translocation factors (TF<sub>As</sub>), with values of 0.22&#x2013;0.73 at 1 day and 0.37&#x2013;0.77 at 1 week. In contrast, 1-month treatment drastically reduced TF<sub>As</sub> to 0.02&#x2013;0.05 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>). Notably, TF<sub>As</sub> under 1-week As&#x2013;Fe co-treatment were 36.5 times higher than under 1-month exposure, indicating a sharp decline in As translocation efficiency over time. As content inversely regulated TF<sub>As</sub> during acute exposure (1 day: LAs &gt; HAs) but exhibited the opposite trend at 1 week (HAs &gt; LAs).</p>
<p>Fe amendment significantly altered As translocation patterns. Acute Fe supplementation significantly reduced TF<sub>As</sub> by 38% (<italic>p</italic> &lt; 0.001), indicating enhanced root sequestration via Fe-plaque formation. Meanwhile, Fe treatment increased As uptake by the roots, as the iron plaque acted as a sustained sink for As enrichment (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4b</bold></xref>). Root As content was positively correlated with root morphogenesis and chlorophyll content (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>), suggesting that As stress promoted root architectural development. In Fe-treated groups, both root morphogenesis and chlorophyll content were significantly positively correlated with root Fe content (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>), demonstrating that Fe amendment enhances the detoxification capacity of rice seedlings.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Redundancy analysis (RDA) between plant morphological traits and As and Fe parameters. <bold>(a)</bold><italic>Oryza sativa</italic> under As treatment without Fe; and <bold>(b)</bold><italic>Oryza sativa</italic> under As treatment with Fe amendment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g005.tif">
<alt-text content-type="machine-generated">Redundancy analysis (RDA) plots illustrating relationships among various plant attributes. Graph a shows RDA1 and RDA2 axes with vectors for attributes like Stem_Fe, Root_Fe, and Leaf_As. Graph b depicts different relationships with vectors for attributes such as Root_As, Leaf_Fe, and Aerenchyma. The axes indicate variance percentages, with different colors representing distinct groups of attributes.</alt-text>
</graphic></fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Mantel test and correlation matrix among plant morphological indices and Fe and As parameters. <bold>(a)</bold><italic>Oryza sativa</italic> under As treatment without Fe; and <bold>(b)</bold><italic>Oryza sativa</italic> under As treatment with Fe amendment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g006.tif">
<alt-text content-type="machine-generated">Network diagrams (a and b) with matrices showing correlations between root morphology, chlorophyll, plant biomass, and various factors (Plaque, Root, Stem, Leaf, Fe, As). Colors indicate Pearson's r values and p-values, with different thicknesses of connecting lines representing varying Mantel's r values.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Temporal dynamics of arsenic phytotoxicity and iron-mediated mitigation</title>
<p>Our results demonstrate a biphasic response of chlorophyll content to As stress: an initial significant reduction under 1-week exposure, followed by a compensatory recovery under prolonged low-level As. This pattern suggests the activation of dynamic detoxification mechanisms, such as phytochelatin synthesis and antioxidant defenses, over time (<xref ref-type="bibr" rid="B9">Gaikwad et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Mondal et&#xa0;al., 2022</xref>). The mitigation by Fe was both time- and concentration-dependent. Notably, because the baseline Hoagland solution contains Fe&#xb3;<sup>+</sup>, all plants had access to Fe, enabling some plaque formation even without external Fe supplementation. As a result, the Fe and As contents in the iron plaque showed a significant positive correlation after both 1-week and 1-month exposure periods across all treatments (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3e</bold></xref>). The pronounced efficacy of high-dose Fe after a 1-week incubation underscores the role of rapid Fe-plaque formation in physically sequestering As at the root surface during the acute stress phase (<xref ref-type="bibr" rid="B24">Mei et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Zulfiqar and Ashraf, 2022</xref>). Under prolonged exposure, sustained Fe supply likely served as a nutrient reservoir supporting ongoing chlorophyll synthesis and contributing to the observed recovery, as evidenced by differences between the With-Fe and No-Fe control groups.</p>
<p>The persistent biomass suppression under 1-month As exposure reflects the cumulative metabolic cost of detoxification. The modest biomass improvement with Fe supplementation&#x2014;despite a more pronounced recovery in chlorophyll&#x2014;implies a strategic reallocation of energy (<xref ref-type="bibr" rid="B9">Gaikwad et&#xa0;al., 2020</xref>). In this scenario, resources are prioritized for essential survival processes (e.g., maintaining detoxification pathways and antioxidant systems) over growth (<xref ref-type="bibr" rid="B19">Liu et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B27">Mei et&#xa0;al., 2012</xref>), a trade-off characteristic of metallophytes (<xref ref-type="bibr" rid="B8">Farooq et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Maestri et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B48">Zulfiqar and Ashraf, 2022</xref>). This highlights the temporal complexity of As&#x2013;Fe interactions: although Fe can rapidly mitigate As uptake and acutely protect photosynthesis, long-term growth benefits remain limited by the underlying metabolic burden associated with chronic stress.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Arsenic-driven root plasticity and iron&#x2019;s selective protection</title>
<p>Arsenic As content and exposure duration jointly shaped distinct root morphological patterns. The initial stimulatory effect of low As (LAs) on root growth aligns with the hormesis phenomenon, whereas chronic exposure led to suppression, particularly in root volume and diameter. The observed elongation of roots under 1-month HAs stress (HAs &gt; LAs &gt; CK for length/surface area) represents a compensatory adaptation to enhance nutrient foraging in a toxic environment (<xref ref-type="bibr" rid="B9">Gaikwad et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B13">Hossain et&#xa0;al., 2007</xref>), consistent with strategies reported in metallophytes (<xref ref-type="bibr" rid="B7">Eissenstat, 2000</xref>; <xref ref-type="bibr" rid="B39">Sobrino-Plata et&#xa0;al., 2013</xref>).</p>
<p>Fe amendment played a selective protective role, significantly restoring root volume and diameter but not influencing length and surface area. This selectivity likely stems from the mechanism of Fe-plaque formation, which immobilizes As in the root apoplast, thereby reducing its cytotoxicity and preserving the cellular integrity necessary for radial expansion (<xref ref-type="bibr" rid="B34">Paulelli et&#xa0;al., 2019</xref>). This hierarchical prioritization in root development underscores the plant&#x2019;s sophisticated strategy for resource allocation under metal stress.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Aerenchyma formation, porosity, and their regulation by As-Fe interaction</title>
<p>The treatment groups at different time points showed significant differences in root morphology-related parameters under the LSD test (<italic>p</italic> &lt; 0.001; <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The time-dependent increase in root porosity and aerenchyma formation under As stress indicates an adaptive response to potential hypoxia and oxidative stress. The counterintuitive reduction in porosity by Fe amendment suggests that Fe-plaque may physically impede gas diffusion or alter hormonal signals (e.g., ethylene) governing aerenchyma formation (<xref ref-type="bibr" rid="B4">Cheng et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B37">Rogers et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B45">Zhang et&#xa0;al., 1998</xref>).</p>
<p>The partial reversal of As-induced aerenchyma suppression by Fe is a critical finding (<xref ref-type="bibr" rid="B4">Cheng et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B12">He et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B33">Parsons et&#xa0;al., 2013</xref>). It correlates with Fe-plaque-mediated As sequestration, which may reduce As-triggered disruption of lysigenous programmed cell death (PCD) in the cortex (<xref ref-type="bibr" rid="B36">Robinson et&#xa0;al., 2003</xref>). The formation of radial, wheel-like aerenchyma structures highlights a tightly regulated anatomical adaptation. The interplay among As toxicity, Fe remediation, and aerenchyma development reflects the competing demands of oxygen transport (via aerenchyma) and detoxification (via Fe-plaque).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>The interplay of ROL, iron plaque, and arsenic sequestration</title>
<p>Redundancy analysis (RDA) revealed that plaque Fe content was negatively correlated with ROL in the control group, whereas under Fe amendment, both root Fe and As contents showed positive correlations with ROL (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). The negative correlation between plaque Fe and ROL in controls suggests that natural Fe deposition can slightly impede oxygen diffusion. Under As stress, however, Fe amendment reversed the As-induced suppression of ROL and correlated positively with both root Fe and As content (<xref ref-type="bibr" rid="B27">Mei et&#xa0;al., 2012</xref>). This shift indicates that Fe-plaque not only immobilizes As but also helps maintain a more oxidized rhizosphere, potentially mitigating the reductive mobilization of As(III). The observed decoupling of ROL from root porosity&#x2014;contrary to some ROL models ROL (<xref ref-type="bibr" rid="B29">Mei et&#xa0;al., 2014</xref>), emphasizes the dominant role of fine, non-aerenchymatous lateral roots in oxygen release in rice (<xref ref-type="bibr" rid="B3">Cheng et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B27">Mei et&#xa0;al., 2012</xref>), and underscores that Fe&#x2019;s primary mitigation function operates through chemical immobilization rather than through alterations in root anatomical traits (<xref ref-type="bibr" rid="B1">Abedin et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B14">Hu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B35">Rebouillat et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Mechanisms of reduced arsenic translocation and enhanced detoxification</title>
<p>The drastic decline in the arsenic translocation factor (TF<sub>As</sub>) over time, particularly under Fe amendment, underscores a fundamental shift in plant strategy&#x2014;from initial As distribution to robust root sequestration over the 1-month period. This process is initiated by the formation of Fe plaque formation (<xref ref-type="bibr" rid="B19">Liu et&#xa0;al., 2011</xref>), which acts as a primary barrier to reduce As accumulation within the root, as confirmed by the sharp reduction in TFAs following acute Fe treatment. However, Fe amendment increased As accumulation in the roots under prolonged stress, which may be attributed to Fe-plaque functioning as a sustained sink for As enrichment or to Fe-induced physiological changes that enhanced As immobilization (<xref ref-type="bibr" rid="B29">Mei et&#xa0;al., 2014</xref>).</p>
<p>In Fe-treated groups, both root morphogenesis and chlorophyll content were significantly positively correlated with root Fe content (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6b</bold></xref>). Fe amendment orchestrates a multifaceted protective response. Systemically, it enables the maintenance of higher chlorophyll content, revealing a direct positive correlation with Fe treatment that underscores the protection of the photosynthetic machinery (<xref ref-type="bibr" rid="B43">Wu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B46">Zhao et&#xa0;al., 2010</xref>). At the root level, anatomical adaptations also occur. Root porosity showed an inverse correlation with As stress, suggesting structural modification toward a more resilient phenotype. PCA analysis indicated that root morphogenesis, ROL, and POR were major contributors to Principal Component 1 (PC1, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>PCA results of root morphology and biological indices of <italic>O. sativa</italic> under As and Fe treatments (n=54).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Index</th>
<th valign="middle" align="center">PC1</th>
<th valign="middle" align="center">PC2</th>
<th valign="middle" align="center">Communalities</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Root length</td>
<td valign="middle" align="center"><bold>0.923</bold></td>
<td valign="middle" align="center">&#x2212;0.161</td>
<td valign="middle" align="center">0.879</td>
</tr>
<tr>
<td valign="middle" align="left">Root surface</td>
<td valign="middle" align="center"><bold>0.959</bold></td>
<td valign="middle" align="center">&#x2212;0.052</td>
<td valign="middle" align="center">0.923</td>
</tr>
<tr>
<td valign="middle" align="left">Root volume</td>
<td valign="middle" align="center"><bold>0.960</bold></td>
<td valign="middle" align="center">&#x2212;0.005</td>
<td valign="middle" align="center">0.921</td>
</tr>
<tr>
<td valign="middle" align="left">Biomass</td>
<td valign="middle" align="center"><bold>0.861</bold></td>
<td valign="middle" align="center">0.197</td>
<td valign="middle" align="center">0.781</td>
</tr>
<tr>
<td valign="middle" align="left">Root weight</td>
<td valign="middle" align="center"><bold>0.844</bold></td>
<td valign="middle" align="center">&#x2212;0.359</td>
<td valign="middle" align="center">0.842</td>
</tr>
<tr>
<td valign="middle" align="left">Root diameter</td>
<td valign="middle" align="center"><bold>0.778</bold></td>
<td valign="middle" align="center">0.278</td>
<td valign="middle" align="center">0.683</td>
</tr>
<tr>
<td valign="middle" align="left">ROL</td>
<td valign="middle" align="center"><bold>0.708</bold></td>
<td valign="middle" align="center">0.169</td>
<td valign="middle" align="center">0.529</td>
</tr>
<tr>
<td valign="middle" align="left">POR</td>
<td valign="middle" align="center"><bold>0.570</bold></td>
<td valign="middle" align="center">&#x2212;0.036</td>
<td valign="middle" align="center">0.327</td>
</tr>
<tr>
<td valign="middle" align="left">Aerenchyma</td>
<td valign="middle" align="center">0.487</td>
<td valign="middle" align="center"><bold>0.551</bold></td>
<td valign="middle" align="center">0.541</td>
</tr>
<tr>
<td valign="middle" align="left">Chlorophyll</td>
<td valign="middle" align="center">-0.268</td>
<td valign="middle" align="center"><bold>0.771</bold></td>
<td valign="middle" align="center">0.667</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note:  Bold values represent the indicators of principal component components in confidence intervals.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>These interconnected mechanisms (as shown in <xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>)&#x2014;rhizosphere sequestration, physiological maintenance, and anatomical adaptation&#x2014;synergistically contribute to the observed improvement in biomass under Fe supplementation. This stands in contrast to the pronounced growth suppression in As-stressed groups without Fe. Thus, Fe amendment does not merely immobilize As passively; it fosters a more robust physiological state by protecting root meristems and photosynthetic centers, enhancing the intrinsic detoxification capacity of rice seedlings, and ultimately ensuring better growth under stress.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Proposed mechanistic model of iron-mediated mitigation of arsenic toxicity in rice roots.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1736435-g007.tif">
<alt-text content-type="machine-generated">Diagram showing arsenic (As) and iron (Fe) effects on plant roots. Plants in beakers are exposed to As and Fe. Arsenic leads to As accumulation; iron forms Fe plaques. A bar graph compares chlorophyll content: As (low), CK (medium), Fe (high). A scatter plot shows an inverse correlation between root porosity and radial oxygen loss (ROL).</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study elucidates the temporal dynamics and mechanistic interplay of arsenic&#x2013;iron interactions in modulating root morphogenesis and radial oxygen loss (ROL) in rice seedlings. Arsenic exposure for 1 week induced acute phytotoxicity, suppressing chlorophyll synthesis (263.84 &#xb1; 10 mg&#xb7;L&#x207b;&#xb9; in controls vs. 189.5 mg&#xb7;L&#x207b;&#xb9; in HAs) and ROL (64.46 mmol O<sub>2</sub>&#xb7;day&#x207b;&#xb9;&#xb7;g&#x207b;&#xb9; DW in controls vs. 32.23 mmol in HAs). However, 1-month LAs treatment triggered adaptive responses, including chlorophyll recovery (LAs &gt; CK) and compensatory root elongation (HAs &gt; LAs &gt; CK in length/surface area), highlighting the hormetic plasticity of rice. Fe amendments mitigated As toxicity through Fe-plaque formation, which acted as a sustained sink to enrich As in roots while enhancing plant biomass by 1.18&#x2013;2.39 times under chronic stress. Notably, Fe selectively alleviated radial root suppression (volume/diameter increased by 1.72&#x2013;1.87 times) but not axial growth, underscoring hierarchical stress prioritization. Paradoxically, Fe reduced root porosity (9.84% vs. 12.1% in non-Fe groups) despite elevating ROL, suggesting rice-specific oxygen transport mechanisms mediated by fine lateral roots lacking aerenchyma. Anatomical analyses confirmed Fe&#x2019;s role in restoring aerenchyma structure (46.32% vs. 16&#x2013;17% in controls) and reinforcing lignified barriers, balancing oxygen retention with detoxification.</p>
<p>Our results challenge the traditional porosity&#x2013;ROL paradigm and emphasize Fe&#x2019;s dual function: immobilizing As via plaque formation while preserving root metabolic activity. The temporal resilience of ROL under Fe&#x2013;As co-treatment, reflected by a 1.38&#x2013;2.83-fold recovery, highlights adaptive oxygen management strategies that are critical for wetland phytoremediation. However, hydroponic conditions may underestimate Fe-plaque efficacy relative to soil systems, necessitating field-scale validation. Future research should explore genetic regulators of root plasticity and microbial synergies in Fe&#x2013;As interactions. Together, these findings provide a mechanistic foundation for leveraging Fe amendments to enhance crop resilience in As-polluted agroecosystems, bridging remediation science and sustainable agriculture.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<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="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SJ: Writing &#x2013; review &amp; editing, Visualization, Writing &#x2013; original draft, Methodology. ZZ: Writing &#x2013; original draft, Visualization, Methodology. YP: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RS: Methodology, Data curation, Writing &#x2013; review &amp; editing, Investigation, Conceptualization, Software, Formal Analysis. ZW: Writing &#x2013; review &amp; editing, Investigation, Software, Formal Analysis, Data curation, Methodology, Conceptualization. MU: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SW: Resources, Supervision, Funding acquisition, Writing &#x2013; review &amp; editing, Project administration. JL: Funding acquisition, Writing &#x2013; review &amp; editing, Resources, Supervision, Project administration. KM: Conceptualization, Investigation, Writing &#x2013; review &amp; editing, Methodology, Software, Funding acquisition, Data curation, Writing &#x2013; original draft, Formal Analysis.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We extend our gratitude to our colleagues from the Pollution Ecology Lab at Xiamen University for their assistance with sampling and laboratory work.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. During the preparation of this work, the author(s) used ChatGpt (OpenAI) to improve the manuscript&#x2019;s linguistic expression and readability. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.</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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1736435/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1736435/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2881295">Xuesong Liu</ext-link>, Chinese Research Academy of Environmental Sciences, China</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2241672">Yidong Mi</ext-link>, Huanghuai Laboratory, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3271725">Lingyun Yu</ext-link>, Guangdong Academy of Science (CAS), China</p></fn>
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