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<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
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<journal-title>Frontiers in Environmental Science</journal-title>
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<issn pub-type="epub">2296-665X</issn>
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<article-id pub-id-type="publisher-id">1737077</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2025.1737077</article-id>
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<subj-group subj-group-type="heading">
<subject>Review</subject>
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<title-group>
<article-title>The unpredictable nature of microbiological responses to metals in real-world contaminated soils: A review</article-title>
<alt-title alt-title-type="left-running-head">Schoffer et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2025.1737077">10.3389/fenvs.2025.1737077</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Schoffer</surname>
<given-names>J. Tom&#xe1;s</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Stuckey</surname>
<given-names>Jason W.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Y&#xe1;&#xf1;ez</surname>
<given-names>Carolina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ginocchio</surname>
<given-names>Rosanna</given-names>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Neaman</surname>
<given-names>Alexander</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<label>1</label>
<institution>N&#xfa;cleo de Investigaci&#xf3;n en Sustentabilidad Agroambiental (NISUA), Escuela de Agronom&#xed;a, Facultad de Medicina Veterinaria y Agronom&#xed;a, Universidad de Las Am&#xe9;ricas</institution>, <city>Santiago</city>, <country country="CL">Chile</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Cat&#xf3;lica de Chile</institution>, <city>Santiago</city>, <country country="CL">Chile</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Anchor QEA</institution>, <city>Portland</city>, <state>OR</state>, <country country="US">United States</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Instituto de Biolog&#xed;a, Pontificia Universidad Cat&#xf3;lica de Valpara&#xed;so</institution>, <city>Valpara&#xed;so</city>, <country country="CL">Chile</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Departamento de Ecosistemas y Medio Ambiente, Facultad de Agronom&#xed;a y Sistemas Naturales, Pontificia Universidad Cat&#xf3;lica de Chile</institution>, <city>Santiago</city>, <country country="CL">Chile</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Facultad de Ciencias Agron&#xf3;micas, Universidad de Tarapac&#xe1;</institution>, <city>Arica</city>, <country country="CL">Chile</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Alexander Neaman, <email xlink:href="mailto:alexander.neaman@gmail.com">alexander.neaman@gmail.com</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-17">
<day>17</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1737077</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>26</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Schoffer, Stuckey, Y&#xe1;&#xf1;ez, Ginocchio and Neaman.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Schoffer, Stuckey, Y&#xe1;&#xf1;ez, Ginocchio and Neaman</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-17">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>Microbial responses, such as biomass or enzymatic activity, are commonly used to evaluate metal toxicity in contaminated soils. However, multiple studies have demonstrated the existence of microbial tolerance and resilience to metals. The adaptive responses of soil microorganisms to metal stress may compromise their suitability for evaluating metal toxicity in contaminated soils. Further evaluation is needed to establish the robustness of microbiological responses as metal toxicity indicators in contaminated soils. In this review, we focus on real-world contaminated soils, excluding artificially contaminated soils. We reviewed studies that reported the values of effective concentrations at 10% and 50% (EC<sub>10</sub> and EC<sub>50</sub>) of soil metals (either total, extractable, or soluble concentrations) for soil microbiological response in real-world contaminated soils. However, there are also studies demonstrating that the effects of soil metals on microbiological responses range from toxic (negative) in soils with metal concentrations below the mean reported EC<sub>10</sub> values to stimulatory (positive) in soils with metal concentrations above the mean reported EC<sub>50</sub> values. Hence, in some cases, microorganisms&#x2019; responses indicate metal toxicity at low soil metal concentrations, at which toxicity is not expected. In contrast, in other cases, microorganisms are stimulated by metals at high soil metal concentrations, at which stimulatory responses are not expected. Further, soil microbiological responses can be influenced by soil physicochemical properties rather than soil metals concentrations even at metal concentrations above the mean reported EC<sub>50</sub> values, at which metal toxicity for soil microorganisms is expected. In summary, the unpredictable nature of microbiological responses to metals makes them unreliable indicators of metal toxicity in real-world contaminated soils.</p>
</abstract>
<kwd-group>
<kwd>bacteria</kwd>
<kwd>ecotoxicology</kwd>
<kwd>environmental assessment</kwd>
<kwd>fungi</kwd>
<kwd>soil quality</kwd>
</kwd-group>
<funding-group>
<funding-statement>The authors declare financial support was received for the research and/or publication of this article. We gratefully acknowledge the Center of Applied Ecology and Sustainability (CAPES) for supporting this research (funding from ANID PIA/BASAL AFB240003 project).</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="8"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Soil Processes</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Soil contamination with metals<xref ref-type="fn" rid="fn1">
<sup>1</sup>
</xref> constitutes a significant global environmental challenge (<xref ref-type="bibr" rid="B16">Gonz&#xe1;lez Henao and Ghneim-Herrera, 2021</xref>; <xref ref-type="bibr" rid="B23">Karnwal et al., 2024</xref>). The ecotoxicity of metals in soils can be assessed by a two-fold approach (<xref ref-type="bibr" rid="B20">ISO 17402, 2008</xref>): (1) quantifying the total metal concentration and/or an operationally defined fraction of the total metal concentration in the soil, and (2) exposing organisms to the soil and quantifying biological responses. If the obtained metal concentrations and biological response(s) are negatively correlated, threshold values for soil metal ecotoxicity may be derived.</p>
<p>Many ecotoxicological studies have been performed on uncontaminated soils that have been spiked artificially with soluble metal salts (e.g., <xref ref-type="bibr" rid="B17">Halim et al., 2021</xref>; <xref ref-type="bibr" rid="B33">McKee et al., 2017</xref>; <xref ref-type="bibr" rid="B56">Tibihenda et al., 2022</xref>; <xref ref-type="bibr" rid="B59">You et al., 2024</xref>). Spiked soils consistently result in increased toxicity for plants and soil organisms relative to the toxicities observed in real-world soils that have been contaminated for decades (<xref ref-type="bibr" rid="B39">Neaman et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Oorts et al., 2006</xref>; <xref ref-type="bibr" rid="B52">Smolders et al., 2003</xref>). The prolonged residence time and associated partitioning of metals in soils, known as &#x201c;aging&#x201d; (<xref ref-type="bibr" rid="B30">Mart&#xed;nez and McBride, 2001</xref>), significantly impacts metal bioavailability and toxicity (<xref ref-type="bibr" rid="B18">Islam, 2025</xref>) in such a way that cannot be replicated in artificially contaminated soils. Rather, metal spiking tends to selectively eradicate specific microbial species over periods of months to years, leading to an artificial loss of metabolic functioning and biogeochemical processing associated with these species (<xref ref-type="bibr" rid="B15">Giller et al., 1999</xref>).</p>
<p>High metal content in soils can disrupt soil ecosystems, prompting researchers to identify the most sensitive species for detecting early signs of toxicity (<xref ref-type="bibr" rid="B9">Broos et al., 2005</xref>). However, there is a lack of studies on real-world contaminated soils that compare the sensitivity of different types of organisms as bioindicators of metal toxicity. The study of <xref ref-type="bibr" rid="B38">Naveed et al. (2014)</xref> on soil contaminated by wood treatment with copper-based fungicides demonstrated that earthworms exhibit greater sensitivity to copper than do bacteria, nematodes, and fungi. Likewise, the study of <xref ref-type="bibr" rid="B14">Dovletyarova et al. (2024)</xref> demonstrated that plants exhibit greater sensitivity to metals than microorganisms do.</p>
<p>The results of the two latter studies can be explained by the fact that the available ecotoxicological data on metal toxicity for plants and invertebrates typically correspond to the individual level of biological organization, whereas microorganism responses are usually assessed at the community level (<xref ref-type="bibr" rid="B48">Santa-Cruz et al., 2021</xref>). Resistance to metal-induced stress indeed varies with the level of biological organization (<xref ref-type="bibr" rid="B53">Spurgeon et al., 2005</xref>). Typically, populations and communities are less sensitive to stress than are individuals. Accordingly, individual-level responses of plants and invertebrates are expected to be more sensitive to metal toxicity than are the community-level responses of microorganisms.</p>
<p>Moreover, multiple studies have demonstrated the existence of microbial tolerance and resilience to metals, i.e., development of resistant microbial populations and adaptive mechanisms that enable survival in metal-contaminated soils (reviews of <xref ref-type="bibr" rid="B13">Das et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Mallick et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Naik et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Narayani and Shetty, 2013</xref>). This well-established adaptive response of soil microorganisms to metal stress may compromise their suitability for evaluating metal toxicity. However, does this inference imply that microbial indicators lack sensitivity across all contamination scenarios, or are they selectively applicable to specific metals or environmental conditions?</p>
<p>Further investigation is warranted to establish the robustness of microbiological responses as metal toxicity indicators across a range of real-world contamination scenarios. Thus, the purpose of this review is to evaluate the validity of microbiological responses as indicators of metal ecotoxicity in real-world contaminated soils.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<p>Our first criterion for the selection of studies was to include only real-world contaminated soils, excluding artificially contaminated soils. However, considering that sewage sludge application to agricultural fields is a widespread practice worldwide, we also included studies on soils on which sewage sludge was applied more than 7&#xa0;years prior to the study. For simplicity, these sewage sludge studies will also be referred to as &#x201c;real-world contaminated soils&#x201d; since the period of 7&#xa0;years appears to be sufficient for metal aging in soils, based on the data reported in several long-term aging studies (<xref ref-type="bibr" rid="B28">Ma et al., 2006</xref>; <xref ref-type="bibr" rid="B32">McBride and Cai, 2016</xref>; <xref ref-type="bibr" rid="B60">Zeng et al., 2017</xref>).</p>
<p>Total metal concentration in contaminated soils may not be a consistent factor in predicting potential toxicity for plants and soil biota (<xref ref-type="bibr" rid="B20">ISO 17402, 2008</xref>). As a result, a wide-ranging set of approaches has been developed to estimate the &#x201c;bioavailable&#x201d; metal fraction in soil by linking operationally defined metal pools to specific biological responses (<xref ref-type="bibr" rid="B25">Kim et al., 2015</xref>). The operationally defined bioavailable metal pools are targeted by extractions with water, salt solutions, chelating agents (e.g., DTPA or EDTA), or acids (e.g., HCl or CH<sub>3</sub>COOH) (<xref ref-type="sec" rid="s10">Supplementary Table 1</xref>). In the following discussion, we will refer to these bioavailable fractions as &#x201c;soluble&#x201d; when the researchers used salt solutions or water, or as &#x201c;extractable&#x201d; when chelating agents or acids were used.</p>
<p>We reviewed studies that reported the values of effective concentrations at 10% and 50% (EC<sub>10</sub> and EC<sub>50</sub>) of soil metals (either total concentrations or bioavailable concentrations) for soil microbiological response in real-world contaminated soils (<xref ref-type="sec" rid="s10">Supplementary Tables 2&#x2013;9</xref>). We were able to identify studies reporting toxicity thresholds using microbiological responses in real-world contaminated soils for the following elements: arsenic, cadmium, copper, lead, nickel, and zinc, whereas data for other metals were absent. Thus, we decided to focus our review on these six elements.</p>
<p>A single effective concentration value for a specific biological endpoint (e.g., growth, reproduction, survival, etc.) is insufficient for decision making in agricultural or ecological contexts (<xref ref-type="bibr" rid="B21">ISO 17616, 2019</xref>). As an alternative, <xref ref-type="bibr" rid="B11">Checkai et al. (2014)</xref> recommend averaging effective concentration values across different biological endpoints. Adopting this approach, we summarized available metal toxicity thresholds for soil microorganisms (<xref ref-type="table" rid="T1">Table 1</xref>). Few studies have established toxicity thresholds of soluble or extractable soil metal fractions for microorganisms using real-world contaminated soils. We were able to identify studies only for copper (<xref ref-type="sec" rid="s10">Supplementary Table 8</xref>) and zinc (<xref ref-type="sec" rid="s10">Supplementary Table 9</xref>), whereas data for other metals were absent. <xref ref-type="sec" rid="s10">Supplementary Tables 10&#x2013;15</xref> summarize studies reporting correlations between various metal pools in soil and microbiological responses.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Mean &#xb1; standard deviation of effective concentrations at 10% and 50% (EC<sub>10</sub> and EC<sub>50</sub>) for soil microorganisms across various metal pools in the reviewed studies. Detailed data are available in the <xref ref-type="sec" rid="s10">Supplementary material</xref>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Metal pool</th>
<th align="left">Metal</th>
<th align="center">EC<sub>10</sub>
</th>
<th align="center">EC<sub>50</sub>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">Total (mg kg<sup>-1</sup>)</td>
<td align="left">Arsenic</td>
<td align="center">75 &#xb1; 67</td>
<td align="center">630 &#xb1; 580</td>
</tr>
<tr>
<td align="left">Cadmium</td>
<td align="center">&#x2014;</td>
<td align="center">5100 &#xb1; 3444</td>
</tr>
<tr>
<td align="left">Copper</td>
<td align="center">551 &#xb1; 335</td>
<td align="center">1115 &#xb1; 1050</td>
</tr>
<tr>
<td align="left">Lead</td>
<td align="center">&#x2014;</td>
<td align="center">48,650 &#xb1; 30,901</td>
</tr>
<tr>
<td align="left">Nickel</td>
<td align="center">&#x2014;</td>
<td align="center">325 &#xb1; 106</td>
</tr>
<tr>
<td align="left">Zinc</td>
<td align="center">&#x2014;</td>
<td align="center">1151 &#xb1; 1476</td>
</tr>
<tr>
<td align="left">Extractable (mg kg<sup>-1</sup>)</td>
<td align="left">Copper</td>
<td align="center">&#x2014;</td>
<td align="center">304 &#xb1; 331</td>
</tr>
<tr>
<td rowspan="2" align="left">Soluble (mg kg<sup>-1</sup>)</td>
<td align="left">Copper</td>
<td align="center">0.27</td>
<td align="center">0.62</td>
</tr>
<tr>
<td align="left">Zinc</td>
<td align="center">&#x2014;</td>
<td align="center">7.8 &#xb1; 9.7</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Our second criterion for the selection of studies was to include studies in which metal concentrations (either total concentrations or bioavailable concentrations) were above the effective concentration at 50% (EC<sub>50</sub>) for microorganisms (<xref ref-type="table" rid="T1">Table 1</xref>) for at least one metal. <xref ref-type="sec" rid="s10">Supplementary Tables 16&#x2013;19</xref> present metal concentrations reported in each study, highlighting metal concentrations above the EC<sub>50</sub> values for microorganisms. Therefore, in the studies quantified in <xref ref-type="table" rid="T2">Table 2</xref>, metal concentrations exceeded mean reported toxicity thresholds and metal toxicity was expected for soil microorganisms. The specific authors corresponding to each study counted in the table are listed in <xref ref-type="sec" rid="s10">Supplementary Tables 20&#x2013;24</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of the number of studies on soil microbial indicators of metal stress&#x2014;including microbial activity, microbial diversity and community structure, and plant&#x2013;microbe interactions (<xref ref-type="bibr" rid="B5">Benedetti and Dilly, 2006</xref>), as well as soil enzyme activity as a proxy of microbial activity (<xref ref-type="bibr" rid="B51">Shaw and Burns, 2006</xref>). The specific authors corresponding to each study counted in the table are listed in <xref ref-type="sec" rid="s10">Supplementary Tables 20&#x2013;24</xref>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Soil microbial indicator</th>
<th colspan="2" align="center">Affected by metals</th>
<th rowspan="2" align="center">Affected by soil properties but not by metals</th>
<th rowspan="2" align="center">Inconsistent or no response, either to metals or soil properties</th>
</tr>
<tr>
<th align="center">Increased with increasing metal concentrations</th>
<th align="center">Decreased with increasing metal concentrations</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="center">Soil microbial number and biomass</td>
</tr>
<tr>
<td align="left">Total microorganism count (viable and non-viable)</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Culturable microorganism count</td>
<td align="center">1</td>
<td align="center">5</td>
<td align="center">3</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left">Chloroform fumigation extraction of microbial biomass carbon</td>
<td align="center">3</td>
<td align="center">14</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Chloroform fumigation extraction of microbial biomass nitrogen</td>
<td align="center">2</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Substrate-induced respiration</td>
<td align="center">2</td>
<td align="center">8</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td colspan="5" align="center">Soil microbial activity</td>
</tr>
<tr>
<td align="left">Basal respiration (organic matter mineralization)</td>
<td align="center">4</td>
<td align="center">16</td>
<td align="center">2</td>
<td align="center">6</td>
</tr>
<tr>
<td align="left">Nitrogen mineralization</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left">Nitrification</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Ammonification</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="5" align="center">Soil microbial diversity and community structure</td>
</tr>
<tr>
<td align="left">Community level physiological profiles (Biolog or MicroResp)</td>
<td align="center">3</td>
<td align="center">8</td>
<td align="center">4</td>
<td align="center">6</td>
</tr>
<tr>
<td colspan="5" align="center">Plant-microbe interaction</td>
</tr>
<tr>
<td align="left">Nodulating symbiotic bacteria</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left">Free-living plant-beneficial microorganisms</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="5" align="center">Soil enzymes</td>
</tr>
<tr>
<td align="left">Diverse enzymes</td>
<td align="center">15</td>
<td align="center">47</td>
<td align="center">7</td>
<td align="center">5</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>On the other hand, we noted studies reporting statistically significant negative correlations between microbiological responses and soil total copper concentrations, which were below the reported effective concentration at 10% (EC<sub>10</sub>) for copper using microorganisms&#x2019; responses as a bioindicator (<xref ref-type="table" rid="T1">Table 1</xref>). In other words, these studies report copper toxicity to soil microorganisms at low copper concentrations, at which toxicity is not expected. These studies are summarized in <xref ref-type="sec" rid="s10">Supplementary Table 25</xref>. Conversely, we also found studies reporting statistically significant positive correlations between microbial responses with rising soil copper concentrations, even though none of the metal concentrations exceeded the mean reported EC<sub>10</sub> threshold for microbial bioindicators. These findings are presented in <xref ref-type="sec" rid="s10">Supplementary Table 26</xref>.</p>
<p>We arranged the reviewed information according to the well-established classification of microbiological responses used in soil quality assessment (<xref ref-type="bibr" rid="B5">Benedetti and Dilly, 2006</xref>): (1) soil microbial biomass and number, (2) soil microbial activity, (3) soil microbial diversity and community structure, and (4) plant-microbe interactions (<xref ref-type="table" rid="T2">Table 2</xref>). Additionally, <xref ref-type="bibr" rid="B51">Shaw and Burns (2006)</xref> posited soil enzymatic activity as a proxy of soil microbial activity. To this end, we also included studies on soil enzymatic activity in our review (<xref ref-type="table" rid="T2">Table 2</xref>). In the following discussion, the terms &#x201c;microbiological responses&#x201d; or &#x201c;microorganism responses&#x201d; refer to at least one of the five types of responses listed above.</p>
</sec>
<sec sec-type="discussion" id="s3">
<title>Discussion</title>
<sec id="s3-1">
<title>Metal pools governing metal toxicity for microorganisms in contaminated soils</title>
<p>Multiple studies show that total metal concentration of a soil can predict microorganism responses as successfully as the soluble or extractable metal pools (<xref ref-type="sec" rid="s10">Supplementary Tables 10&#x2013;15</xref>). Similar results have been found for predicting plant responses in metal-contaminated soils (<xref ref-type="bibr" rid="B44">Pe&#xf1;aloza et al., 2024</xref>). Plant uptake of metals depends on the metal concentration in the soil solution, the total metal concentration in the soil, and the kinetics of metal transfer between the solid and solution phases (<xref ref-type="bibr" rid="B44">Pe&#xf1;aloza et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Prudnikova et al., 2020</xref>). It is unclear if the same conceptual understanding can be applied to metal uptake in the cells of microorganisms. For instance, the study of <xref ref-type="bibr" rid="B24">Khan et al. (2009)</xref> used the 1&#xa0;M NH<sub>4</sub>NO<sub>3</sub> soil extract following chloroform fumigation. This method is widely used to estimate soil microbial carbon (<xref ref-type="bibr" rid="B19">ISO 14240-2, 1997</xref>), but it was utilized in the study of <xref ref-type="bibr" rid="B24">Khan et al. (2009)</xref> to estimate soil copper fraction retained by the cells of microorganisms. This study suggests that microorganisms can retain more copper in their cells than the amount of copper present in the soil solution at any one moment (<xref ref-type="sec" rid="s10">Supplementary Table 27</xref>).</p>
<p>Metal concentrations in the soil solution are regulated by precipitation and dissolution reactions, and by adsorption and desorption processes involving the solid phase (<xref ref-type="bibr" rid="B49">Sauv&#xe9;, 2002</xref>). Analogously, metal uptake and retention by microbial cells in soils may be regulated, in part, by the capacity of the total soil metal pool (dominated by the solid phase) to supply metal ions to the soil solution at the precise time when microbial cells are assimilating metal ions. This mechanism can potentially explain why total metal concentration of a soil can predict microorganism responses as successfully as the soluble or extractable metal pools (<xref ref-type="sec" rid="s10">Supplementary Tables 10&#x2013;15</xref>). However, very limited data are available for metal concentrations in the cells of microorganisms (<xref ref-type="bibr" rid="B24">Khan et al., 2009</xref>), requiring future studies to confirm the mechanism controlling cellular uptake of metals in soil systems.</p>
</sec>
<sec id="s3-2">
<title>Microbiological responses to soil metals at concentrations exceeding the reported EC<sub>50</sub> values</title>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> summarizes the number of studies reporting microbiological responses to soil metals at concentrations exceeding the reported EC<sub>50</sub> values. The studies are grouped by the type of microbial response (see Method section) (<xref ref-type="bibr" rid="B5">Benedetti and Dilly, 2006</xref>; <xref ref-type="bibr" rid="B51">Shaw and Burns, 2006</xref>). In many studies summarized in <xref ref-type="table" rid="T2">Tables 2</xref> and <xref ref-type="sec" rid="s10">Supplementary Tables 20&#x2013;24</xref>, soil microbiological responses were sensitive indicators of metal toxicity. As expected, microbiological responses decreased with increasing soil metal concentrations, indicating metal toxicity. In some cases, it was possible to derive metal toxicity thresholds for soil microorganisms, as summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<p>However, in many other cases, soil microbiological responses were influenced by soil properties, such as soil organic matter content, pH, and texture (<xref ref-type="bibr" rid="B34">Moya et al., 2025</xref>; <xref ref-type="bibr" rid="B58">Y&#xe1;&#xf1;ez et al., 2022</xref>), rather than by soil metal concentrations (<xref ref-type="table" rid="T2">Table 2</xref>). Likewise, in many other cases, microbiological responses were not affected by soil metal concentrations or soil properties. In other words, in many cases, no metal toxicity for microorganisms was observed despite soil metal concentrations (either total pool or a fraction) being above the reported effective concentration at 50% (EC<sub>50</sub>) for metals using microorganisms&#x2019; responses as bioindicators (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Notably, in many cases, soil microorganism responses were positively correlated (i.e., increased) with soil metal concentrations increase (<xref ref-type="table" rid="T2">Table 2</xref>). The underlying mechanism of this microbial response is unknown. The mechanism most frequently proposed in the literature is the well-established adaptive response of soil microorganisms to metal stress (reviews of <xref ref-type="bibr" rid="B13">Das et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Mallick et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Naik et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Narayani and Shetty, 2013</xref>). Some additional possible mechanisms might include (<xref ref-type="table" rid="T3">Table 3</xref>):<list list-type="order">
<list-item>
<p>Biogeochemical mitigation of metal toxicity: decrease of metal bioavailability in the soil under certain biogeochemical conditions, such as a decrease in metal solubility at higher pH values. Also, this mechanism includes the potential effect of soil organic carbon and other soil nutrients, enhancing microbial tolerance to metal contamination;</p>
</list-item>
<list-item>
<p>Metabolic utilization: essential metals, at low concentrations, can stimulate microbial metabolism as enzyme cofactors;</p>
</list-item>
<list-item>
<p>Root exudate stimulation: metals can stimulate the production of root exudates that promote microbial diversity and activity;</p>
</list-item>
<list-item>
<p>Fungal dominance: fungi outcompete bacteria in metal-contaminated soils due to their greater tolerance to metals.</p>
</list-item>
</list>
</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of possible mechanisms explaining the increasing microbial response at increasing soil metal concentrations. The mechanism most frequently proposed in the literature is the well-established adaptive response of soil microorganisms to metal stress (reviews of <xref ref-type="bibr" rid="B13">Das et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Mallick et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Naik et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Narayani and Shetty, 2013</xref>). This table summarizes additional possible mechanisms reported in the literature. MNB stands for microbial number and biomass, SEA stands for soil enzymatic activity, MA stands for microbial activity, and MDCS stands for microbial diversity and community structure.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Study</th>
<th align="left">Soils contaminated by&#x2026;</th>
<th align="left">Microbiological response</th>
<th align="left">Proposed mechanism</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B2">Anza et al. (2021)</xref>
</td>
<td align="left">Multiple metals</td>
<td align="left">SEA</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B3">Azarbad et al. (2013)</xref>
</td>
<td align="left">Multiple metals</td>
<td align="left">MDCS</td>
<td align="left">Fungal dominance</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B4">Bai et al. (2021)</xref>
</td>
<td align="left">Multiple metals</td>
<td align="left">MA; SEA</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B6">Benidire et al. (2020)</xref>
</td>
<td align="left">Copper and zinc</td>
<td align="left">DNA analyses</td>
<td align="left">Root exudate stimulation</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B7">Bhattacharyya et al. (2008)</xref>
</td>
<td align="left">Cadmium and copper</td>
<td align="left">MNB; MA; SEA</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B8">Boteva et al. (2016)</xref>
</td>
<td align="left">Cadmium, chromium, cobalt, lead, and zinc</td>
<td align="left">SEA</td>
<td align="left">Metabolic utilization</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B12">Dai et al. (2004)</xref>
</td>
<td align="left">Cadmium, copper, lead and zinc</td>
<td align="left">MNB</td>
<td align="left">Fungal dominance</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B26">Lawlor et al. (2000)</xref>
</td>
<td align="left">Copper and zinc</td>
<td align="left">MNB</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B27">Li et al. (2009)</xref>
</td>
<td align="left">Cadmium and zinc</td>
<td align="left">SEA</td>
<td align="left">Metabolic utilization</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B31">Mart&#xed;nez-Toledo et al. (2023)</xref>
</td>
<td align="left">Arsenic, cobalt, copper, molybdenum, nickel, and zinc.</td>
<td align="left">MA; SEA</td>
<td align="left">Metabolic utilization</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B35">Muhlbachova et al. (2015)</xref>
</td>
<td align="left">Multiple metals</td>
<td align="left">MNB; MA; SEA</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B41">Niemeyer et al. (2012)</xref>
</td>
<td align="left">Cadmium, chromium, copper, iron, lead, nickel, zinc</td>
<td align="left">MNB; MA</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B43">Paj&#x105;k et al. (2016)</xref>
</td>
<td align="left">Lead and zinc</td>
<td align="left">MDCS</td>
<td align="left">Biogeochemical mitigation of metal toxicity</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B45">Pleshakova et al. (2023)</xref>
</td>
<td align="left">Lead</td>
<td align="left">MNB</td>
<td align="left">Metabolic utilization</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B54">Stefanowicz et al. (2008)</xref>
</td>
<td align="left">Multiple metals</td>
<td align="left">MDCS</td>
<td align="left">Fungal dominance</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B57">Wang et al. (2011)</xref>
</td>
<td align="left">Copper and zinc</td>
<td align="left">SEA</td>
<td align="left">Metabolic utilization</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>With respect to the mechanism (4), we are aware of only one study (<xref ref-type="bibr" rid="B38">Naveed et al., 2014</xref>) that compared the sensitivity of fungi and bacteria to metal stress using DNA analysis. The following effective concentration at 10% (EC<sub>10</sub>) of total soil copper content were obtained: bacteria and fungi richness of 181 and 800&#xa0;mg&#xa0;kg<sup>-1</sup>, respectively, and bacteria and fungi diversity of 171 and 2374&#xa0;mg&#xa0;kg<sup>-1</sup>, respectively. Thus, the study of <xref ref-type="bibr" rid="B38">Naveed et al. (2014)</xref> demonstrated that fungi are more resistant to metals than bacteria in soils contaminated with copper, calling for similar studies using DNA analysis in soils with contamination by other metals.</p>
<p>It might be argued that hormesis is a plausible explanation of why soil microorganism responses positively correlate with soil metal concentrations. However, hormesis is the stimulatory effect on organisms resulting from exposure to a low dose of chemicals (<xref ref-type="bibr" rid="B10">Calabrese and Baldwin, 2003</xref>; <xref ref-type="bibr" rid="B22">Kaiser, 2003</xref>; <xref ref-type="bibr" rid="B47">Renner, 2004</xref>), in this case, a low concentration of soil metals. Thus, the concept of hormesis cannot be applied to the case of soil metal concentrations above the effective concentration at 50% (EC<sub>50</sub>), which are summarized in <xref ref-type="table" rid="T2">Table 2</xref> and whose corresponding studies are detailed in <xref ref-type="sec" rid="s10">Supplementary Tables 20&#x2013;24</xref>.</p>
</sec>
<sec id="s3-3">
<title>Microbiological responses to soil metals at concentrations below the reported EC<sub>10</sub> values</title>
<p>
<xref ref-type="sec" rid="s10">Supplementary Table 25</xref> summarizes studies on soils with copper concentrations (total and soluble fraction) below the reported effective concentration at 10% (EC<sub>10</sub>) for copper using microorganisms&#x2019; responses as a bioindicator (<xref ref-type="table" rid="T1">Table 1</xref>). In these studies, copper toxicity to soil microorganisms was unexpected, given that soil copper concentrations were low. However, the studies show statistically significant negative correlations between microbiological responses and soil total copper concentrations. The underlying mechanisms explaining these negative correlations are not clear, requiring future studies.</p>
<p>Finally, positive correlations between total soil copper concentration and soil microbial responses were observed in the three studies summarized in <xref ref-type="sec" rid="s10">Supplementary Table 26</xref>. Soil total copper concentrations were up to 496&#xa0;mg&#xa0;kg<sup>-1</sup>, which is well below the reported effective concentration at 10% (EC<sub>10</sub>) for copper using microorganisms&#x2019; responses as a bioindicator (<xref ref-type="table" rid="T1">Table 1</xref>). In this case, these findings can indeed be viewed as an hormetic response, i.e., a stimulatory effect on microorganisms resulting from exposure to low concentrations of soil metals (<xref ref-type="bibr" rid="B1">Abeed et al., 2022</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Conclusions and future research needs</title>
<p>This review demonstrates that the effects of soil metals on microbiological responses range from toxic (negative) in soils with metal concentrations below the mean reported EC<sub>10</sub> values to stimulatory (positive) in soils with metal concentrations above the mean reported EC<sub>50</sub> values. Hence, in some cases, microorganisms&#x2019; responses indicate metal toxicity at low soil metal concentrations, at which toxicity is not expected. In contrast, in other cases, microorganisms are stimulated by metals at high soil metal concentrations, at which stimulatory responses are not expected. Further, soil microbiological responses can be influenced by soil physicochemical properties rather than soil metals concentrations even at metal concentrations above the mean reported EC<sub>50</sub> values, at which metal toxicity for soil microorganisms is expected. In summary, the unpredictable nature of microbiological responses to metals makes them unreliable indicators of metal toxicity in real-world contaminated soils.</p>
<p>As discussed above, individual-level responses of plants and invertebrates are known to be more sensitive to metal toxicity than are the community-level responses of microorganisms. Indeed, the toxicity responses of plants and earthworms are largely predictable based on reported EC<sub>10</sub> or EC<sub>50</sub> values (<xref ref-type="bibr" rid="B40">Neaman et al., 2025</xref>; <xref ref-type="bibr" rid="B50">Schoffer et al., 2024</xref>; <xref ref-type="bibr" rid="B55">Tapia-Pizarro et al., 2025</xref>). Thus, we propose using plants and invertebrates, rather than microorganisms, as bioindicators of metal toxicity in real-world contaminated soils.</p>
<p>The following hypotheses can be tested in future research:<list list-type="order">
<list-item>
<p>Metal uptake and retention by microbial cells in soils is regulated by the capacity of the total soil metal pool (dominated by the solid phase) to supply metal ions to the soil solution at the time when microbial cells are assimilating metal ions.</p>
</list-item>
</list>
</p>
<p>To test this hypothesis, the methodology of the study of <xref ref-type="bibr" rid="B24">Khan et al. (2009)</xref> can be used. Specifically, a salt solution can be used to extract the soluble metal pool from soils following chloroform fumigation to estimate the soil metal fraction retained by the cells of microorganisms. This approach will help discern the relationship between cellular metal concentrations, the concentrations of metals in the soil solution, and the total metal concentrations in soils.<list list-type="simple">
<list-item>
<p>2. Fungi have greater tolerance of metals than bacteria do.</p>
</list-item>
</list>
</p>
<p>To test this hypothesis, the methodology of the study of <xref ref-type="bibr" rid="B38">Naveed et al. (2014)</xref> can be used. Specifically, DNA analysis can be used to quantify bacteria and fungi richness and diversity in soils with an increasing gradient of metal contents. Then, effective concentrations at 10% and 50% (EC<sub>10</sub> and EC<sub>50</sub>) can be derived for fungal and bacterial responses, allowing the comparison of the sensitivity of fungi and bacteria to metal stress.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s5">
<title>Author contributions</title>
<p>JTS: Investigation, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review and editing, Formal Analysis. JWS: Writing &#x2013; review and editing, Writing &#x2013; original draft. CY: Writing &#x2013; review and editing, Validation, Conceptualization, Supervision, Writing &#x2013; original draft. RG: Funding acquisition, Writing &#x2013; review and editing, Writing &#x2013; original draft. AN: Investigation, Writing &#x2013; original draft, Supervision, Conceptualization, Methodology, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s7">
<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 sec-type="ai-statement" id="s8">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<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 sec-type="supplementary-material" id="s10">
<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/fenvs.2025.1737077/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenvs.2025.1737077/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1033442/overview">Jun Zhou</ext-link>, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3263316/overview">Liu Xiuming</ext-link>, Chinese Academy of Sciences (CAS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3274203/overview">Yingying Zuo</ext-link>, Dalian University of Technology, China</p>
</fn>
</fn-group>
<fn-group>
<fn id="fn1">
<label>1</label>
<p>To simplify the discussion in this article, the term &#x201c;metals&#x201d; also includes metalloids (e.g., arsenic). The term &#x201c;heavy metal&#x201d; is not recommended by the International Union of Pure and Applied Chemistry and will be avoided.</p>
</fn>
</fn-group>
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