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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2024.1507089</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>Interactive effects of rhizospheric soil microbes and litter on the growth of the invasive hyperaccumulator <italic>Bidens pilosa</italic> in cadmium-contaminated soil</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zheng</surname>
<given-names>Wei-Long</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2346943"/>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Chun-Lan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Jing-Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Xiang</surname>
<given-names>Yu-Peng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Ming-Lang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Fei-Hai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/204452"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Mai-He</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/613199"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Institute of Wetland Ecology &amp; Clone Ecology/Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University</institution>, <addr-line>Taizhou, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL</institution>, <addr-line>Birmensdorf</addr-line>, <country>Switzerland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zhongzheng Yan, East China Normal University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Guanlin Li, Jiangsu University, China</p>
<p>Xiao Guo, Qingdao Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mai-He Li, <email xlink:href="mailto:maihe.li@wsl.ch">maihe.li@wsl.ch</email>; Fei-Hai Yu, <email xlink:href="mailto:feihaiyu@126.com">feihaiyu@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1507089</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Wang, Zheng, Wu, Han, Xiang, Yang, He, Yu and Li</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Wang, Zheng, Wu, Han, Xiang, Yang, He, Yu and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Both rhizospheric soil microbes and shoot litter input can have profound effects on plant performance; however, their interactive effects on plants in Cd-contaminated soils remain poorly understood. We grew an invasive hyperaccumulator, <italic>Bidens pilosa</italic>, in sterilized and unsterilized rhizosphere soil without litter or with a low (0.2%, dry weight ratio) or a high amount (1%) of litter from <italic>B. pilosa</italic> in soil with low (5 mg kg<sup>&#x2212;1</sup>) or high (10 mg kg<sup>&#x2212;1</sup>) concentrations of Cd. The total, shoot, and root biomass of <italic>B. pilosa</italic> increased significantly with litter addition, by an average of 27%, 28%, and 20%, respectively. The biomass of <italic>B. pilosa</italic> was significantly lower in unsterilized rhizosphere soil than in sterilized rhizosphere soil, decreasing by 19% for total, 18% for shoot, and 24% for root, respectively. Furthermore, the effects of different litter amounts (0.2% vs. 1%) on biomass did not vary in sterilized rhizosphere soils but significantly varied in unsterilized rhizosphere soils, showing that the biomass was significantly lower with 1% litter addition than with 0.2% litter addition in unsterilized rhizosphere soils, decreasing by 28% for total, 29% for shoot, and 21% for root, respectively. Tissue Cd concentrations were significantly higher in highly Cd-contaminated soils (+75% for shoot and +51% for root) than in low Cd-contaminated soils; however, higher tissue Cd concentrations did not cause a significant decrease in the biomass of <italic>B. pilosa</italic>. Soil fungal communities, particularly the dominant phyla, Ascomycota and Basidiomycota, play crucial roles in modulating the effects of rhizosphere soil microbes and litter on the growth of <italic>B. pilosa</italic>. Our results suggest that rhizosphere soil microbes and litter interact and affect the growth of <italic>B. pilosa</italic>: litter addition promoted growth by increasing the abundance of saprotrophs (especially Basidiomycota) and decreasing Cd accumulation in plant tissues, and rhizosphere soil inhibition was associated with a decreased abundance of Basidiomycota. Our findings highlight the importance of the interactive effects of rhizospheric soil microbes and litter on plant growth in Cd-contaminated soils.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Bidens pilosa</italic>
</kwd>
<kwd>Cd</kwd>
<kwd>fungi</kwd>
<kwd>phytoremediation</kwd>
<kwd>plant-soil feedback</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="10"/>
<word-count count="4718"/>
</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">
<title>Introduction</title>
<p>The frequency of plants exposed to soils contaminated with heavy metals has increased as a result of human activities such as industrial discharges, mining and smelting, and agricultural pollution (<xref ref-type="bibr" rid="B35">Mazurek et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B39">Palansooriya et&#xa0;al., 2020</xref>). Cadmium (Cd) is one of the most toxic heavy metals and can cause significant damage to plants (<xref ref-type="bibr" rid="B53">Wang et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B58">Zheng et&#xa0;al., 2023</xref>). For example, Cd toxicity can inhibit root elongation, photosynthesis, stomatal conductance, and enzyme activities in plants (<xref ref-type="bibr" rid="B20">Haider et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B26">Li et&#xa0;al., 2023a</xref>). Rhizospheric soil microbes and plant litter can influence plants through plant&#x2013;soil feedback (<xref ref-type="bibr" rid="B10">De Long et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B44">Sun et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B59">Zotti et&#xa0;al., 2023</xref>). However, the effects of rhizospheric soil microbes and litter on the growth performance of plants in Cd-contaminated soils are understudied.</p>
<p>Plants have the ability to modify biotic and abiotic soil environments through the direct effects of the rhizosphere and indirect effects of litter input as they grow in the soil (<xref ref-type="bibr" rid="B1">Aldorfova et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B21">He et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B56">Zhang et&#xa0;al., 2019</xref>). These modifications can lead to plant&#x2013;soil feedback (PSF), whereby the performance of the same or different plant species is influenced by the modified soil (<xref ref-type="bibr" rid="B5">Bever et&#xa0;al., 1997</xref>; <xref ref-type="bibr" rid="B47">van der Putten et&#xa0;al., 2013</xref>). PSF can result in either positive or negative effects when the performance of conspecifics is enhanced or inhibited (<xref ref-type="bibr" rid="B4">Bennett et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B24">Jing et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B46">Teste et&#xa0;al., 2017</xref>). For example, negative PSF would prevail if host-specific pathogens accumulate in the rhizosphere, whereas the species having higher mycorrhizal colonization would result in mostly positive PSF (<xref ref-type="bibr" rid="B3">Bennett and Klironomos, 2019</xref>; <xref ref-type="bibr" rid="B41">Semchenko et&#xa0;al., 2022</xref>). Therefore, the intensity and direction of PSF play a crucial role in shaping plant growth, survival, and distribution.</p>
<p>Three main groups of soil biota contribute to PSF: enemies (pathogens and root-feeding insects), mutualistic symbionts (mycorrhizal fungi and rhizobia), and decomposers (<xref ref-type="bibr" rid="B18">Friman et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B23">Idbella et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B25">Kadowaki, 2024</xref>). Diverse communities of soil microorganisms and invertebrates that accumulate in the rhizosphere are expected to influence PSF, with negative and positive effects (<xref ref-type="bibr" rid="B25">Kadowaki, 2024</xref>). As for soil microorganisms, fungi, especially soil pathogenic or mycorrhizal fungi, can play important roles in regulating PSF (<xref ref-type="bibr" rid="B47">van der Putten et&#xa0;al., 2013</xref>). For example, rhizosphere-induced negative PSF effects occur when pathogens dominate the rhizosphere, thereby inhibiting plant growth (<xref ref-type="bibr" rid="B6">Bezemer et&#xa0;al., 2013</xref>). Conversely, rhizosphere-induced positive PSF effects occur when mutualistic symbionts, such as arbuscular mycorrhizal fungi (AMF), dominate the rhizosphere and promote plant growth (<xref ref-type="bibr" rid="B19">Garcia-Parisi and Omacini, 2017</xref>; <xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2019</xref>).</p>
<p>Shoot litter is also expected to have varying effects on PSF, ranging from negative to positive (<xref ref-type="bibr" rid="B16">Eppinga and Molofsky, 2013</xref>; <xref ref-type="bibr" rid="B59">Zotti et&#xa0;al., 2023</xref>). Fungi play an important role in regulating the litter-induced PSF. For example, some fungi, such as the two fungal phyla Ascomycota and Basidiomycota, would be very active during litter decomposition, because the two phyla include many saprotrophic members (<xref ref-type="bibr" rid="B49">Voriskova and Baldrian, 2013</xref>; <xref ref-type="bibr" rid="B57">Zhang et&#xa0;al., 2018</xref>). Negative PSF effects can occur through increased pathogen abundance and autotoxicity effects owing to the release of self-DNA and allelopathic compounds from conspecific litter (<xref ref-type="bibr" rid="B23">Idbella et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B36">Mazzoleni et&#xa0;al., 2015</xref>). Low-quality litter and slow decomposition, characterized by high concentrations of lignin and cellulose, can also lead to negative PSF effects (<xref ref-type="bibr" rid="B14">Ehrenfeld et&#xa0;al., 2005</xref>). Conversely, nutrient-rich litter inputs can enhance the availability of soil nutrients; for example, the available N and P increased from tundra to forest soils corresponding to the increase in nutrient contents in foliage of trees along the same direction (<xref ref-type="bibr" rid="B17">Fetzer et&#xa0;al., 2024</xref>), thus contributing to positive PSF and promoting plant growth (<xref ref-type="bibr" rid="B16">Eppinga and Molofsky, 2013</xref>; <xref ref-type="bibr" rid="B44">Sun et&#xa0;al., 2022</xref>). Although many studies have examined the relationships between litter-induced PSF and plant performance, little is known about the interactive effects of litter and rhizospheric soil microbes on the growth performance of plants growing in heavy metal-contaminated soils.</p>
<p>To investigate the interactive effects of rhizospheric soil microbes and litter on the growth performance of plants in Cd-contaminated soil, we conducted a pot experiment using the invasive plant species <italic>Bidens pilosa</italic> L., which is known to be a Cd hyperaccumulator (<xref ref-type="bibr" rid="B45">Sun et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B55">Zhang et&#xa0;al., 2021</xref>). We aimed to address the following questions: 1) How do rhizospheric soil microbes and shoot litter influence the growth performance of <italic>B. pilosa</italic> in Cd-contaminated soil? 2) Are there interactive effects between rhizospheric soil microbes and shoot litter on the growth performance of <italic>B. pilosa</italic> in Cd-contaminated soil?</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>The collection of seeds, shoot litter, and rhizosphere soil of <italic>Bidens pilosa</italic>
</title>
<p>Healthy seeds and withered shoots of <italic>B. pilosa</italic> were collected from a local population in Taizhou, Zhejiang Province, China, at the end of the growing season in November 2022. The withered shoots were air-dried and ground to pass through a 0.25-mm sieve. The ground shoots and seeds were stored at 4&#xb0;C for later use. The withered shoots contained 0.47 &#xb1; 0.12 mg kg<sup>&#x2212;1</sup> Cd, 3.08 &#xb1; 0.33 mg g<sup>&#x2212;1</sup> nitrogen (N), and 1.53 &#xb1; 0.12 mg g<sup>&#x2212;1</sup> P. In August 2023, <italic>B. pilosa</italic> seeds were sown in plastic containers. In September 2023, rhizosphere soil was collected from the same plant population from which the litter and seeds were collected. The collection involved removing the roots of <italic>B. pilosa</italic> from the soil, collecting the soil attached to the roots, and storing it in plastic bags. The collected rhizosphere soil was immediately transported to the laboratory for use in experiments.</p>
</sec>
<sec id="s2_2">
<title>Experimental design</title>
<p>The experiment comprised three levels of litter treatments (0%, 0.2%, and 1% litter), two rhizospheric soil microbe treatments (sterilized and unsterilized soil), and two Cd-contaminated soil treatments (low: 5 mg kg<sup>&#x2212;1</sup> vs. high: 10 mg kg<sup>&#x2212;1</sup>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Each treatment consisted of six replicates, resulting in 72 pots in total. In September 2023, the field soil was collected from a hill in Taizhou City. The field soil contained 0.54 &#xb1; 0.09 mg kg<sup>&#x2212;1</sup> Cd, 92.05 &#xb1; 15.65 mg kg<sup>&#x2212;1</sup> N, and 211.88 &#xb1; 28.38 mg kg<sup>&#x2212;1</sup> P. The field soil was air-dried and sieved through a 2-cm mesh to remove large stones and roots, and it was used to fill the 72 pots. Before filling the pots, the field soil was sterilized by autoclaving at 121&#xb0;C for 120&#xa0;min, and the pots were surface-sterilized with 75% ethanol. The rhizosphere soils were divided into two equal parts. One part was sterilized by autoclaving, while the other part remained unsterilized. The litter and rhizosphere soil treatments included sterilized soil, unsterilized soil, sterilized soil with 0.2% litter, unsterilized soil with 0.2% litter, sterilized soil with 1% litter, and unsterilized soil with 1% litter. Twelve pots were used for each treatment. For the sterilized soil treatment, 0.25&#xa0;kg of field soil was added to each pot, followed by 0.05&#xa0;kg of sterilized rhizosphere soil (equivalent to 10% of the total weight of the substrate), and 0.2&#xa0;kg of field soil. Similarly, for the unsterilized soil treatment, 0.25&#xa0;kg of field soil was added to each pot, followed by 0.05&#xa0;kg of unsterilized rhizosphere soil and 0.2&#xa0;kg of field soil. For the sterilized soil + 0.2% litter treatment, 0.25&#xa0;kg of field soil was added to each pot, followed by 0.05&#xa0;kg of sterilized rhizosphere soil, and a mixture of 0.199&#xa0;kg of field soil and 0.001&#xa0;kg of litter (equivalent to 0.2% of the total weight of the substrate). Similarly, for the unsterilized soil + 0.2% litter treatment, 0.25&#xa0;kg of field soil was added to each pot, followed by 0.05&#xa0;kg of unsterilized rhizosphere soil, and a mixture of 0.199&#xa0;kg of field soil and 0.001&#xa0;kg of litter. For the sterilized soil + 1% litter treatment, 12 pots were filled with 0.25&#xa0;kg of field soil, followed by 0.05&#xa0;kg of sterilized rhizosphere soil, and a mixture of 0.195&#xa0;kg of field soil and 0.005&#xa0;kg of litter (equivalent to 1% of the total weight of the substrate). Similarly, for the unsterilized soil + 1% litter treatment, 12 pots were filled with 0.25&#xa0;kg of field soil, followed by 0.05&#xa0;kg of unsterilized rhizosphere soil, and a mixture of 0.195&#xa0;kg of field soil and 0.005&#xa0;kg of litter. Then, each of the six treatments was divided into two equal parts, with 6 pots receiving 50 mL of a 50 mg L<sup>&#x2212;1</sup> CdCl<sub>2</sub>&#xb7;2.5H<sub>2</sub>O solution and the other 6 pots receiving 50 mL of a 0.1&#xa0;g L<sup>&#x2212;1</sup> CdCl<sub>2</sub>&#xb7;2.5H<sub>2</sub>O solution. This division aimed to create two levels of Cd-contaminated soil treatments, corresponding to concentrations of 5 mg kg<sup>&#x2212;1</sup> and 10 mg kg<sup>&#x2212;1</sup>. The 10 mg kg<sup>&#x2212;1</sup> Cd represented the highest level found in Cd-contaminated soil in Taizhou City (<xref ref-type="bibr" rid="B54">Wu et&#xa0;al., 2019</xref>), and half of the highest value was selected as a lower value. Two weeks after the application of the CdCl<sub>2</sub>&#xb7;2.5H<sub>2</sub>O solution, one seedling of <italic>B. pilosa</italic> was planted in each pot. Dead seedlings were replaced during the first week of the experiment. All pots were watered every 2 days.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Graphical illustration of the experimental design. The experiment consisted of three levels of litter amounts (0%, 0.2%, and 1% of the total weight of the substrate), two levels of rhizospheric soil microbe treatments (sterilized and unsterilized), and two levels of soil Cd concentration (5 mg kg<sup>&#x2212;1</sup> and 10 mg kg<sup>&#x2212;1</sup>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g001.tif"/>
</fig>
</sec>
<sec id="s2_3">
<title>Harvest</title>
<p>After 12 weeks following transplantation, the shoots and roots of <italic>B. pilosa</italic> in all pots were harvested. The shoots and cleaned roots were then oven-dried at 65&#xb0;C for 72&#xa0;h before being weighed. Subsequently, the shoots and roots were ground to pass through a 0.25-mm mesh for Cd analysis. Soil samples were also collected for the analysis of soil parameters.</p>
</sec>
<sec id="s2_4">
<title>Cd and N analyses</title>
<p>To determine the total Cd concentrations in both the plant tissues and soils, an inductively coupled plasma mass spectrometry (ICP-MS) instrument (NexION 2000B, PerkinElmer, USA) was utilized. Prior to analysis, both the tissues and soils were digested using a mixture of sulfuric and perchloric acid in a ratio of 10:1. Additionally, total soil N was measured using an AutoAnalyzer 3 instrument (Bran &amp; Luebbe, Norderstedt, Germany) after digestion with the same sulfuric and perchloric acid mixture in a ratio of 10:1.</p>
</sec>
<sec id="s2_5">
<title>Soil microbial community analysis</title>
<p>Library preparation, sequencing, and bioinformatic analysis of the soil microbial community were conducted by Novogene Co., Ltd. (Beijing, China). Total DNA was extracted from each soil sample (0.5&#xa0;g) using the Magnetic Soil and Stool DNA Kit (Tiangen, Beijing, China) following the manufacturer&#x2019;s instructions. After determining the quality of each sample, a distinct region of the ITS gene was amplified by PCR using specific primers: ITS1-1F-F-GCATCGATGAAGAACGCAGC and ITS1-1F-R-TCCTCCGCTTATTGATATGC. The PCR reactions were carried out with 15 &#xb5;L of Phusion<sup>&#xae;</sup> High-Fidelity PCR Master Mix (New England Biolabs [Beijing] Co., Ltd.), 0.2 &#xb5;M of forward and reverse primers, and 10 ng of template DNA. The PCR reaction condition was shown as follows: initial denaturation at 98&#xb0;C for 1&#xa0;min, followed by 30 cycles (denaturation at 98&#xb0;C for 10 s, annealing at 50&#xb0;C for 30 s, and elongation at 72&#xb0;C for 30 s) and final extension at 72&#xb0;C for 5&#xa0;min. After amplification, the PCR products were purified using magnetic beads and mixed in the proportions required for sequencing. The libraries were generated with the NEBNext<sup>&#xae;</sup> Ultra&#x2122; II DNA Library Prep Kit (New England Biolabs [Beijing] Co., Ltd.), then pooled and sequenced on an Illumina NovaSeq platform (Illumina, San Diego, California, USA), according to effective library concentration and data amount required. After sample splitting, the paired-end reads were merged using FLASH (V1.2.11, <ext-link ext-link-type="uri" xlink:href="http://ccb.jhu.edu/software/FLASH/">http://ccb.jhu.edu/software/FLASH/</ext-link>) (<xref ref-type="bibr" rid="B31">Mago&#x10d; and Salzberg, 2011</xref>), quality filtering was performed using fastp (V0.23.1) (<xref ref-type="bibr" rid="B7">Bokulich et&#xa0;al., 2013</xref>), data were compared with the reference database [UNITE Database (ITS), <ext-link ext-link-type="uri" xlink:href="https://unite.ut.ee/">https://unite.ut.ee/</ext-link>], and effective data were obtained by removing the chimeric sequences with the vsearch package (V2.16.0, <ext-link ext-link-type="uri" xlink:href="https://github.com/torognes/vsearch">https://github.com/torognes/vsearch</ext-link>) (<xref ref-type="bibr" rid="B13">Edgar et&#xa0;al., 2011</xref>). Finally, the optimized data were processed using sequence denoising methods (DADA2/Deblur) in the QIIME2 software (V QIIME2-202202) (<xref ref-type="bibr" rid="B8">Bolyen et&#xa0;al., 2019</xref>) to obtain the initial amplicon sequence variant (ASV) sequence and abundance information; subsequent processes (species annotation and phylogenetic relationship construction) were also performed using the QIIME2 software (<xref ref-type="bibr" rid="B50">Walsh et&#xa0;al., 2021</xref>). The absolute abundance of ASVs was normalized to 61,466 reads (corresponding to the sample with the fewest sequences) to minimize the effects of sequencing depth on the analysis of community diversity. The FUNGuild database (V1.1) was used to identify putative fungal functional groups (e.g., pathogenic fungi and saprotrophic fungi) (<xref ref-type="bibr" rid="B38">Nguyen et&#xa0;al., 2016</xref>).</p>
</sec>
<sec id="s2_6">
<title>Data analysis</title>
<p>To examine the interactive effects of rhizospheric soil microbes and litter on <italic>B. pilosa</italic> in Cd-contaminated soil, a three-way analysis of variance (ANOVA) was conducted to analyze the effects of litter, rhizospheric soil microbes, Cd, and their interactions on various parameters. These parameters included shoot, root, and total biomass and Cd concentration in tissues and soils, as well as the relative abundance of the dominant fungal community at the phylum level. Normality of the data was assessed using the Kolmogorov&#x2013;Smirnov test, and homogeneity of variance was assessed using Levene&#x2019;s test. All statistical analyses were performed using the SPSS software (V22.0; IBM Corp., Armonk, NY, USA). Additionally, structural equation modeling (SEM) with the lavaan package (<xref ref-type="bibr" rid="B40">Rosseel, 2012</xref>) in R (V4.3.3) was employed to explore the direct and indirect factors (soil N, Ascomycota, and Basidiomycota) that regulate total biomass under rhizosphere soil and litter addition. The fit of the model to the data was determined using the <italic>&#x3c7;</italic>
<sup>2</sup> test, goodness-of-fit index (GFI), and root-mean-square error of approximation (RMSEA). The model fit was generally good (<italic>P</italic> &gt; 0.05, GFI close to 1, and RMSEA close to 0).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Plant growth</title>
<p>The addition of litter significantly increased the total and shoot biomass of <italic>B. pilosa</italic>, by an average of 27% and 28%, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). However, no significant differences were observed between the different amounts (0.2% and 1%). Conversely, the presence of unsterilized rhizosphere soil significantly reduced total (&#x2212;19%), shoot (&#x2212;18%), and root biomass (&#x2212;24%) of <italic>B. pilosa</italic> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;C</bold>
</xref>). Furthermore, the negative effect of unsterilized rhizosphere soil on biomass was significantly influenced by litter, with the effect being stronger when 1% litter was applied compared to when 0.2% litter was applied (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Results of three-way ANOVAs for the effects of litter (L), rhizospheric soil microbes (M), Cd (Cd) and their interactions on plant growth, tissue Cd, soil parameters, and relative abundance of two dominant fungi phyla.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">Litter (L)</th>
<th valign="middle" align="left">Microbes (M)</th>
<th valign="middle" align="left">Cd</th>
<th valign="middle" align="left">L &#xd7; M</th>
<th valign="middle" align="left">L &#xd7; Cd</th>
<th valign="middle" align="left">M &#xd7; Cd</th>
<th valign="middle" align="left">L &#xd7; M &#xd7; Cd</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="8" align="left">Plant growth</th>
</tr>
<tr>
<td valign="middle" align="left">Shoot biomass</td>
<td valign="middle" align="left">
<bold>8.42<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>11.73<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.48</td>
<td valign="middle" align="left">
<bold>5.00<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">0.79</td>
<td valign="middle" align="left">1.31</td>
<td valign="middle" align="left">0.11</td>
</tr>
<tr>
<td valign="middle" align="left">Root biomass</td>
<td valign="middle" align="left">1.77</td>
<td valign="middle" align="left">
<bold>9.18<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">1.47</td>
<td valign="middle" align="left">
<bold>4.42<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>3.41<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">1.68</td>
<td valign="middle" align="left">3.03</td>
</tr>
<tr>
<td valign="middle" align="left">Total biomass</td>
<td valign="middle" align="left">
<bold>7.22<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>12.97<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.77</td>
<td valign="middle" align="left">
<bold>4.59<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">1.40</td>
<td valign="middle" align="left">1.62</td>
<td valign="middle" align="left">0.44</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Tissues Cd concentration</th>
</tr>
<tr>
<td valign="middle" align="left">Shoot Cd</td>
<td valign="middle" align="left">
<bold>5.96<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">2.92</td>
<td valign="middle" align="left">
<bold>64.63<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">1.98</td>
<td valign="middle" align="left">1.61</td>
<td valign="middle" align="left">
<bold>11.22<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.46</td>
</tr>
<tr>
<td valign="middle" align="left">Root Cd</td>
<td valign="middle" align="left">
<bold>16.73<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.48</td>
<td valign="middle" align="left">
<bold>72.38<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>8.04<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>4.12<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">0.37</td>
<td valign="middle" align="left">
<bold>4.57<sup>*</sup>
</bold>
</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Soil parameters</th>
</tr>
<tr>
<td valign="middle" align="left">Soil Cd</td>
<td valign="middle" align="left">
<bold>3.36<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">&lt;0.01</td>
<td valign="middle" align="left">
<bold>67.8<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>5.00<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">1.27</td>
<td valign="middle" align="left">0.39</td>
<td valign="middle" align="left">1.09</td>
</tr>
<tr>
<td valign="middle" align="left">Soil N</td>
<td valign="middle" align="left">1.24</td>
<td valign="middle" align="left">
<bold>15.25<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.74</td>
<td valign="middle" align="left">
<bold>5.08<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">0.85</td>
<td valign="middle" align="left">0.35</td>
<td valign="middle" align="left">
<bold>5.61<sup>**</sup>
</bold>
</td>
</tr>
<tr>
<th valign="middle" colspan="8" align="left">Relative abundance of dominant fungi phyla</th>
</tr>
<tr>
<td valign="middle" align="left">Ascomycota</td>
<td valign="middle" align="left">
<bold>8.72<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">1.79</td>
<td valign="middle" align="left">
<bold>5.92<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>3.76<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>3.57<sup>*</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>12.78<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">0.95</td>
</tr>
<tr>
<td valign="middle" align="left">Basidiomycota</td>
<td valign="middle" align="left">
<bold>11.08<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>140.76<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>18.19<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>7.00<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>5.30<sup>**</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>19.36<sup>***</sup>
</bold>
</td>
<td valign="middle" align="left">
<bold>3.88<sup>*</sup>
</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<italic>F</italic>-values and significance levels (*<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, and ***<italic>P</italic> &lt; 0.001) of ANOVAs are given. Values are in bold when P &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of litter amount (0%, 0.2%, and 1%) and rhizospheric soil microbes (sterilized soil vs. unsterilized soil) on total <bold>(A)</bold>, shoot <bold>(B)</bold>, and root biomass <bold>(C)</bold> of <italic>Bidens pilosa</italic>. Bars and error lines represent mean &#xb1; SE. Differences between bars within each litter amount are indicated by the following: ns, non-significant (<italic>P</italic> &gt; 0.05), **<italic>P</italic> &lt; 0.01. Different lowercase and uppercase letters above the bars indicate the significant differences among different litter amounts under sterilized rhizosphere soil and unsterilized rhizosphere soil, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Tissue Cd concentrations</title>
<p>The Cd concentrations in both shoots (+75%) and roots (+51%) were significantly higher in the high Cd-contaminated soil than in the low Cd-contaminated soil (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). However, the Cd concentrations in both shoots and roots significantly decreased with litter addition, by an average of 18% and 37%, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of litter amount (0%, 0.2%, and 1%) and soil Cd (5 mg kg<sup>&#x2212;1</sup> and 10 mg kg<sup>&#x2212;1</sup>) on the Cd concentration in the shoots <bold>(A)</bold> and roots <bold>(B)</bold>. Bars and error lines represent mean &#xb1; SE. Differences between bars within each litter amount are indicated by the following: ns, non-significant (<italic>P</italic> &gt; 0.05), *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001. Different lowercase and uppercase letters above the bars indicate the significant differences among different litter amounts under sterilized rhizosphere soil and unsterilized rhizosphere soil, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Soil parameters</title>
<p>The concentration of Cd in the soil significantly increased with the addition of litter (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Additionally, the interactive effects of litter and rhizosphere soil were observed, with Cd concentration in soils increasing in sterilized soil but remaining unchanged in unsterilized soil with increasing litter amounts (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Similar effects were observed for soil N (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <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>Effects of litter amount (0%, 0.2%, and 1%) and rhizospheric soil microbes (sterilized soil and unsterilized soil) on soil Cd concentration <bold>(A)</bold> and total soil N concentration <bold>(B)</bold>. Bars and error lines represent mean &#xb1; SE. Differences between bars within each litter amount are indicated by the following: ns, non-significant (<italic>P</italic> &gt; 0.05), **<italic>P</italic> &lt; 0.01. Different lowercase and uppercase letters above the bars indicate the significant differences among different litter amounts under sterilized rhizosphere soil and unsterilized rhizosphere soil, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Relative abundances of dominant fungal phyla</title>
<p>Ascomycota and Basidiomycota were the dominant phyla in the fungal communities, accounting for 41% and 13% of the total sequences, respectively (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). The addition of litter significantly increased the relative abundance of Ascomycota and Basidiomycota, by an average of 51% and 119%, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Conversely, the presence of unsterilized rhizosphere soil significantly decreased the relative abundance of Basidiomycota, by an average of 91% (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The relative abundance of dominant (top 10) fungi phyla <bold>(A)</bold> and relative abundance of the two dominant phyla Ascomycota and Basidiomycota <bold>(B)</bold>. Structure equation modeling revealed the effects of litter addition and rhizosphere soil on total biomass of <italic>Bidens pilosa</italic> <bold>(C)</bold>. The solid blue arrows indicate significant positive relationships, and the solid red arrows indicate significant negative correlations (<italic>P</italic> &lt; 0.05). The dashed arrows indicate non-significant relationships (<italic>P</italic> &gt; 0.05). Numbers adjacent to the arrows represent standardized path coefficients (<sup>***</sup>
<italic>P</italic> &lt; 0.001). <italic>R</italic>
<sup>2</sup> values close to the variables indicate the variance explained by the model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Causal effects revealed by structural equation modeling</title>
<p>Structural equation modeling revealed the direct and indirect effects of soil N, Ascomycota, and Basidiomycota on total biomass under the influence of litter and rhizosphere soil. The rhizosphere soil directly influenced Basidiomycota and indirectly influenced Basidiomycota through soil N, which subsequently influenced total biomass. Litter addition directly influenced Basidiomycota and indirectly influenced Basidiomycota through Ascomycota, ultimately affecting total biomass (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>).</p>
</sec>
<sec id="s3_6">
<title>Putative fungal functional groups</title>
<p>The relative abundance of saprotrophs significantly increased with the addition of litter, by an average of 175% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The addition of 0.2% litter significantly increased the abundance of plant pathogenic fungi (+155%), whereas the addition of 1% litter had no significant effect (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The rhizosphere soil had no effect on the abundance of plant pathogenic fungi (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The effect of litter amount (0%, 0.2%, and 1%) on the relative abundance of saprotrophs <bold>(A)</bold> and plant pathogenic fungi <bold>(B)</bold>. Rhizosphere soil (sterilized soil vs. unsterilized soil) on the relative abundance of plant pathogenic fungi <bold>(C)</bold>. Bars and error lines represent mean &#xb1; SE. The <italic>F</italic>-values and <italic>P</italic>-values of one-way ANOVA are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1507089-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our study revealed that the biomass of <italic>B. pilosa</italic> growing in Cd-contaminated soil was significantly influenced by the application of <italic>B. pilosa</italic> litter and the presence of rhizosphere soil. Specifically, litter application resulted in a significant increase in <italic>B. pilosa</italic> biomass, whereas the unsterilized rhizosphere soil led to a significant decrease. Furthermore, the effects of litter on <italic>B. pilosa</italic> growth were influenced by rhizosphere soil, indicating the importance of soil microbes, particularly fungi, in mediating the performance of <italic>B. pilosa</italic> in Cd-contaminated soil.</p>
<p>The application of <italic>B. pilosa</italic> litter resulted in a notable increase in plant biomass, with no significant difference observed between the two litter amounts (0.2% and 1% litter). This increase was evident in terms of total, shoot, and root biomass, with average increases of 26.8%, 28.2%, and 20.0%, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). These findings suggest that litter produced by <italic>B. pilosa</italic> exerts positive rather than negative effects on growth. This differs from the potential negative effects of factors such as pathogen accumulation or allelopathic chemicals (<xref ref-type="bibr" rid="B3">Bennett and Klironomos, 2019</xref>; <xref ref-type="bibr" rid="B34">Massoni et&#xa0;al., 2021</xref>). However, we observed a significant increase in plant pathogens with litter addition at the 0.2% level, which could potentially hinder plant growth. Nonetheless, it appears that the positive effects of litter outweigh the negative effects (<xref ref-type="bibr" rid="B37">Meisner et&#xa0;al., 2012</xref>). Litter inputs can influence plant growth by altering nutrient availability (<xref ref-type="bibr" rid="B42">Shen et&#xa0;al., 2016</xref>), and previous studies have shown increased nutrient availability due to litter decomposition (<xref ref-type="bibr" rid="B29">Liu et&#xa0;al., 2023</xref>, <xref ref-type="bibr" rid="B30">2022</xref>; <xref ref-type="bibr" rid="B52">Wang et&#xa0;al., 2021</xref>). Surprisingly, in the present study, the addition of litter did not result in an increase in total soil N, despite the N concentration in the litters (3.08 mg g<sup>&#x2212;1</sup>) being 33 times higher than that in the soil (0.09 mg g<sup>&#x2212;1</sup>). One possible explanation is that the amount of litter used (equivalent to a total weight of 0.2% and 1%) might not have been sufficient to significantly affect total soil N, although litter inputs did increase total soil N under sterilized rhizosphere soil (but not under unsterilized) conditions.</p>
<p>Additionally, the presence of litter has been found to supply energy, nutrients, and even microbes to the soil biota, leading to significant changes in the soil microbial composition, including an increase in decomposers (<xref ref-type="bibr" rid="B21">He et&#xa0;al., 2023</xref>). Fungi play crucial roles in litter decomposition by actively breaking down the recalcitrant components in plant litter (<xref ref-type="bibr" rid="B48">Veen et&#xa0;al., 2019</xref>). Our study demonstrated the significant effects of litter application on the relative abundance of dominant fungal communities at the phylum level (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) and saprotrophs (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Specifically, the relative abundance of the phyla Ascomycota and Basidiomycota, which together accounted for 53% of the total sequences, increased significantly with litter application. Both phyla have been recognized as important decomposers (<xref ref-type="bibr" rid="B11">Dong et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B22">Huang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B43">Stursova et&#xa0;al., 2020</xref>). Although litter addition had positive effects on both Ascomycota and Basidiomycota, significant negative correlations were observed between them. Furthermore, Basidiomycota contributed more to the total biomass of <italic>B. pilosa</italic> than Ascomycota (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). This can be attributed to their overlapping substrate resource acquisition; Ascomycota primarily decomposes hemicellulose and cellulose, whereas Basidiomycota decomposes lignin and cellulose (<xref ref-type="bibr" rid="B2">Baldrian, 2017</xref>; <xref ref-type="bibr" rid="B32">Manavalan et&#xa0;al., 2015</xref>). Thus, Basidiomycota could decompose more complex organic matter, contributing more to increased nutrient availability. Additionally, Basidiomycota has been suggested to contribute more to microbial respiration (<xref ref-type="bibr" rid="B22">Huang et&#xa0;al., 2022</xref>) and exhibit higher activities of some enzymes involved in litter decomposition than Ascomycota (<xref ref-type="bibr" rid="B15">Eichlerova et&#xa0;al., 2015</xref>). Hence, soil fungi play a crucial role in regulating the effects of litter on the performance of <italic>B. pilosa</italic>.</p>
<p>Our findings indicated that while the application of litter had positive effects on the growth performance of <italic>B. pilosa</italic>, rhizosphere soil exerted negative effects, resulting in a decrease in the biomass of <italic>B. pilosa</italic>. Specifically, rhizosphere soil led to reductions of 18.5%, 24.2%, and 19.5% in the shoot, root, and total biomass of <italic>B. pilosa</italic>, respectively, indicating a negative PSF effect. This aligns with the results of previous studies demonstrating that most plants exhibit negative intraspecific PSF (<xref ref-type="bibr" rid="B3">Bennett and Klironomos, 2019</xref>; <xref ref-type="bibr" rid="B10">De Long et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B41">Semchenko et&#xa0;al., 2022</xref>). The decrease in nutrients, such as N, induced by the rhizosphere soil may have contributed to the growth inhibition of <italic>B. pilosa</italic>, as enriched nutrients typically support plant growth. Additionally, the significantly decreased abundance of Basidiomycota, an important decomposer, may have resulted in the reduced nutrient availability and subsequent growth inhibition of <italic>B. pilosa</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Alternatively, the negative effects of PSF may have been influenced by pathogen accumulation. However, in our study, the abundance of plant pathogenic fungi did not differ in the unsterilized soil and in the sterilized soil (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>).</p>
<p>Furthermore, our results demonstrated that higher soil Cd concentrations did not lead to a decrease in the biomass of <italic>B. pilosa</italic>, despite significantly higher Cd concentrations being detected in the plant tissues under the higher Cd treatment than under the lower Cd treatment. This finding suggests that <italic>B. pilosa</italic> is a highly Cd-tolerant plant, which is consistent with the results of numerous previous studies (<xref ref-type="bibr" rid="B9">Dai et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Dou et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B27">Li et&#xa0;al., 2023b</xref>; <xref ref-type="bibr" rid="B33">Manori et&#xa0;al., 2021</xref>). The physiological and molecular mechanisms could explain the Cd tolerance of <italic>B. pilosa</italic>. For example, some physiological characteristics of <italic>B. pilosa</italic>, such as chlorophyll, superoxide dismutase, and peroxidase, were not influenced by Cd (<xref ref-type="bibr" rid="B45">Sun et&#xa0;al., 2009</xref>). Additionally, <italic>B. pilosa</italic> could change its protein expression to relieve the oxidative stress caused by Cd (<xref ref-type="bibr" rid="B28">Li et&#xa0;al., 2024</xref>). In addition, no interactive effects were observed between litter or rhizospheric soil microbes and soil Cd on the performance of <italic>B. pilosa</italic>. One possible explanation for this is that the dose of Cd used may not have been sufficiently high to induce a negative response in <italic>B. pilosa</italic>, considering its high Cd tolerance. For instance, previous research has shown that the growth of <italic>B. pilosa</italic> was promoted even under a soil Cd concentration of 16 mg kg<sup>&#x2212;1</sup> and that it could survive and grow under a soil Cd concentration as high as 100 mg kg<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B45">Sun et&#xa0;al., 2009</xref>). Therefore, in future studies on <italic>B. pilosa</italic> and Cd stress, higher Cd doses should be considered. In addition, one caveat is that our results were obtained from a controlled greenhouse environment with a short duration (approximately 3 months). This indicates that we cannot deeply explain, for example, whether <italic>B. pilosa</italic> has such similar responses in the natural environment. Further studies will take long duration and field experiments into account.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Our findings indicated that shoot litter addition significantly increased the biomass of <italic>B. pilosa</italic>, whereas unsterilized rhizosphere soil had a significant negative effect on biomass, regardless of the soil Cd concentration. Soil fungi, particularly Basidiomycota, play a crucial role in mediating these effects. These results suggest that litter addition is an effective strategy for mitigating the detrimental effects of Cd toxicity on <italic>B. pilosa</italic>. Although high soil Cd concentrations significantly elevated tissue Cd concentrations, they did not result in a significant reduction in biomass. This could be attributed to the Cd tolerance of <italic>B. pilosa</italic> which is a hyperaccumulator. Additionally, it is possible that the soil Cd dosage used in our study may not have been sufficiently high to cause damage to <italic>B. pilosa</italic>. Future research should consider employing higher soil Cd concentrations, such as 100 mg kg<sup>&#x2212;1</sup>.</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 publicly available. This data can be found at <uri xlink:href="http://datadryad.org/stash/share/bbQ3HduSF6E0KWLt85BR-MxuxZK8vmXwrkIDjii1e_8">http://datadryad.org/stash/share/bbQ3HduSF6E0KWLt85BR-MxuxZK8vmXwrkIDjii1e_8</uri>.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XW: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Funding acquisition, Conceptualization. W-LZ: Writing &#x2013; original draft, Methodology, Data curation. C-LW: Writing &#x2013; original draft, Resources, Data curation. J-JH: Writing &#x2013; original draft, Resources, Methodology. Y-PX: Writing &#x2013; original draft, Software, Methodology. M-LY: Writing &#x2013; original draft, Methodology, Data curation. M-HL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization. F-HY: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Supervision, Conceptualization. PH: Writing &#x2013; review &amp; editing, Funding acquisition.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by Taizhou Scientific and Technological Project (23nya19), the National Natural Science Foundation of China (32401307), and the Natural Science Foundation of Tianjin (23JCQNJC01140).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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