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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Soil Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Soil Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Soil Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-8619</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fsoil.2026.1761207</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Brief Research Report</subject>
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</article-categories>
<title-group>
<article-title>Bacterial and fungal contributions to the production of phosphatases in arable and forest soils</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Sugawa</surname><given-names>Makimi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sawada</surname><given-names>Kozue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Moro</surname><given-names>Hitoshi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nagaoka</surname><given-names>Kazunari</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Otsuka</surname><given-names>Shigeto</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Sumi</surname><given-names>Hirotaka</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Kunito</surname><given-names>Takashi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3305737/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Environmental Science, Faculty of Science, Shinshu University</institution>, <city>Matsumoto</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff2"><label>2</label><institution>Graduate School of Bioagricultural Sciences, Nagoya University</institution>, <city>Nagoya</city>, <state>Aichi</state>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff3"><label>3</label><institution>Nagano Agricultural Experiment Station</institution>, <city>Suzaka</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff4"><label>4</label><institution>Central Region Agricultural Research Center, NARO</institution>, <city>Tsukuba</city>, <state>Ibaraki</state>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff6"><label>6</label><institution>Collaborative Research Institute for Innovative Microbiology, The University of Tokyo</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Biological Chemistry, College of Bioscience and Biotechnology, Chubu University</institution>, <city>Kasugai</city>, <state>Aichi</state>,&#xa0;<country country="jp">Japan</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Takashi Kunito, <email xlink:href="mailto:kunito@shinshu-u.ac.jp">kunito@shinshu-u.ac.jp</email>; Hirotaka Sumi, <email xlink:href="mailto:h.sumi@fsc.chubu.ac.jp">h.sumi@fsc.chubu.ac.jp</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-11">
<day>11</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>6</volume>
<elocation-id>1761207</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Sugawa, Sawada, Moro, Nagaoka, Otsuka, Sumi and Kunito.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Sugawa, Sawada, Moro, Nagaoka, Otsuka, Sumi and Kunito</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-11">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>Phosphatases play a key role in the mineralization of organic phosphorus in soils; however, the relative contributions of bacteria and fungi to phosphatase activities remain unclear. Sources of activities of two phosphomonoesterases (acid phosphatase and alkaline phosphatase) and phosphodiesterase in two arable Andisols and two forested Inceptisols were evaluated using selective inhibition with antibiotics. The results showed that all three phosphatases were primarily produced by bacteria in the two arable soils and one forest soil, whereas all three phosphatases were primarily produced by fungi in the forest soil with the lowest pH. These results indicated that fungi can be the primary contributors to alkaline phosphatase production in some soils, challenging the common assumption that bacteria are the main source of alkaline phosphatase activity. Moreover, within a given soil, either bacteria or fungi tend to be the dominant producers of all three phosphatase types, and the identity of the dominant producer appears to be influenced by soil pH. These results highlight the importance of considering the dominant microbial producers when interpreting soil phosphatase activities and organic phosphorus mineralization.</p>
</abstract>
<kwd-group>
<kwd>acid phosphatase</kwd>
<kwd>alkaline phosphatase</kwd>
<kwd>bacteria</kwd>
<kwd>fungi</kwd>
<kwd>phosphodiesterase</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. JSPS KAKENHI Grant Number JP22K05931.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="20"/>
<page-count count="7"/>
<word-count count="2455"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Soil Biology, Ecosystems and Biodiversity</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Organic phosphorus represents a substantial proportion of the total phosphorus content in arable and forest soils (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>) and contributes considerably to plant nutrition after its mineralization to inorganic phosphorus (<xref ref-type="bibr" rid="B4">4</xref>). The mineralization of organic phosphorus to inorganic phosphorus is mediated by phosphatases, which are mainly produced by bacteria and fungi in soils (<xref ref-type="bibr" rid="B5">5</xref>), at least outside the rhizosphere. Among these enzymes, acid and alkaline phosphatases differ in their optimal pH ranges and are therefore expected to respond differently to soil pH conditions.</p>
<p>Distinct regulatory mechanisms appear to control the expression of some phosphatase genes in bacteria and fungi (<xref ref-type="bibr" rid="B6">6</xref>). Moreover, Rosinger et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) reported that the limiting nutrient can differ for bacteria and fungi in a given soil. Together, these observations suggest that bacteria and fungi may differ not only in their regulation of phosphatase expression but also in their relative contributions to phosphomonoesterase activities under different soil pH conditions. These findings suggest that the level of phosphatase activity in soil may be influenced by whether bacteria or fungi serve as the principal phosphatase producers. Therefore, identifying the source of phosphatase is crucial to obtaining a better understanding of organic phosphorus mineralization in soil.</p>
<p>A comprehensive review by Nannipieri et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>) revealed that bacteria are the main source of alkaline phosphatase activity in soil, whereas acid phosphatase can originate from fungi, bacteria, and plants. However, these conclusions were largely based on indirect evidence, such as correlations between microbial community shifts and enzyme activity, or studies of isolated strains. To our knowledge, with the exception of an investigation conducted by Kuroki and Hayano (<xref ref-type="bibr" rid="B8">8</xref>), who used selective inhibition to determine that fungi were the primary producers of phosphodiesterase in a soil, no studies have directly identified the sources of soil phosphatases. Thus, the present investigation employed selective inhibition to determine whether bacteria or fungi are the primary source of three phosphatases in arable and forest soils.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Soils</title>
<p>We used two arable soils and two forest soils in this study to account for the effects of phosphorus fertilization history and land-use type. Arable soil no. 1 was collected from the Ap horizon at the Nagano Prefecture Vegetable and Ornamental Crop Experiment Station in Shiojiri, Nagano Prefecture, Japan. Arable soil no. 2 was obtained from the Ap horizon at the NARO Agricultural Research Center for the Hokkaido Region in Sapporo, Hokkaido Prefecture. Both soils were classified as Andisols according to the United States Department of Agriculture (USDA) soil taxonomy. Soil no. 2 was collected from a field that had been left fallow for several years without application of lime or fertilizers. Forest soils 3 and 4 were Inceptisols collected from the A horizon in Minamiaiki and Terasawa, respectively, in Nagano Prefecture. The soil samples were sieved through a 2-mm mesh and stored at 4 &#xb0;C. A portion of the soil sample was also air-dried for chemical analyses.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Soil analyses</title>
<p>Soil pH was measured in a 1:2.5 soil:solution suspension with distilled water or 1 M KCl. The total C and N were determined using an NC analyzer (JM1000CN, J-Science Lab, Kyoto, Japan). Potentially available P was estimated by the Truog method (<xref ref-type="bibr" rid="B9">9</xref>), with Truog-P extracted from a suspension with a 1:200 soil: solution ratio using 0.001 M H<sub>2</sub>SO<sub>4</sub> buffered with (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> to a pH of 3.0. All concentrations were expressed on a dry weight basis and are shown in <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>Properties of soil samples studied.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Soil</th>
<th valign="middle" align="center">Soil type</th>
<th valign="middle" align="center">Location</th>
<th valign="middle" align="center">Soil use</th>
<th valign="middle" align="center">pH (H<sub>2</sub>O)</th>
<th valign="middle" align="center">pH (KCl)</th>
<th valign="middle" align="center">Total C</th>
<th valign="middle" align="center">Total N</th>
<th valign="middle" align="center">Truog-P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">(USDA)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="right">(g kg<sup>&#x2212;1</sup>)</td>
<td valign="middle" align="right">(g kg<sup>&#x2212;1</sup>)</td>
<td valign="middle" align="right">(mg kg<sup>&#x2212;1</sup>)</td>
</tr>
<tr>
<td valign="middle" align="left">No. 1</td>
<td valign="middle" align="left">Andisol</td>
<td valign="middle" align="left">Shiojiri</td>
<td valign="middle" align="left">Arable</td>
<td valign="middle" align="center">7.2</td>
<td valign="middle" align="center">6.2</td>
<td valign="middle" align="right">43</td>
<td valign="middle" align="right">3.0</td>
<td valign="middle" align="right">213</td>
</tr>
<tr>
<td valign="middle" align="left">No. 2</td>
<td valign="middle" align="left">Andisol</td>
<td valign="middle" align="left">Sapporo</td>
<td valign="middle" align="left">Arable</td>
<td valign="middle" align="center">5.5</td>
<td valign="middle" align="center">4.3</td>
<td valign="middle" align="right">50</td>
<td valign="middle" align="right">4.7</td>
<td valign="middle" align="right">51</td>
</tr>
<tr>
<td valign="middle" align="left">No. 3</td>
<td valign="middle" align="left">Inceptisol</td>
<td valign="middle" align="left">Minamiaiki</td>
<td valign="middle" align="left">Forest</td>
<td valign="middle" align="center">4.9</td>
<td valign="middle" align="center">4.1</td>
<td valign="middle" align="right">140</td>
<td valign="middle" align="right">10.6</td>
<td valign="middle" align="right">187</td>
</tr>
<tr>
<td valign="middle" align="left">No. 4</td>
<td valign="middle" align="left">Inceptisol</td>
<td valign="middle" align="left">Terasawa</td>
<td valign="middle" align="left">Forest</td>
<td valign="middle" align="center">5.8</td>
<td valign="middle" align="center">5.4</td>
<td valign="middle" align="right">132</td>
<td valign="middle" align="right">7.8</td>
<td valign="middle" align="right">25</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Microbial groups contributing to phosphatases production in soils</title>
<p>Bacterial and fungal contributions to phosphatases production in soils were evaluated using the selective inhibition methods developed by Hayano and Tubaki (<xref ref-type="bibr" rid="B10">10</xref>), Watanabe and Hayano (<xref ref-type="bibr" rid="B11">11</xref>), and Kunito et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>), with slight modifications. Briefly, the soil was oven dried at 105 &#xb0;C for 12 h, after which antibiotics in aqueous solution were added to the soil (15 g on a dry weight basis) as follows (1): no addition (2), cycloheximide (2 mg g<sup>&#x2212;1</sup> soil) + nystatin (2 mg g<sup>&#x2212;1</sup> soil) to suppress fungal growth (3), chloramphenicol (1 mg g<sup>&#x2212;1</sup> soil) + streptomycin (1 mg g<sup>&#x2212;1</sup> soil) to suppress bacterial growth, or (4) cycloheximide (2 mg g<sup>&#x2212;1</sup> soil) + nystatin (2 mg g<sup>&#x2212;1</sup> soil) + chloramphenicol (1 mg g<sup>&#x2212;1</sup> soil) + streptomycin (1 mg g<sup>&#x2212;1</sup> soil) to suppress both fungal and bacterial growth. We determined the types and amounts of antibiotics applied in our preliminary experiment. Distilled water was added to the soil to 50% of the water holding capacity, and a small amount of untreated moist soil (0.2 g) was inoculated for each treatment. After a 7-day incubation at 23 &#xb0;C, the activities of phosphatases and culturable microbial populations were determined. All samples were incubated in triplicate.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Microbial analyses</title>
<p>The activities of two phosphomonoesterases (acid phosphatase (EC 3.1.3.2) and alkaline phosphatase (EC 3.1.3.1)) and phosphodiesterase (EC 3.1.4.1) in soils were measured. Acid and alkaline phosphatase activities were measured using <italic>p</italic>-nitrophenyl phosphate as the substrate in a modified universal buffer (pH 6.5 and 11, respectively) as described by Tabatabai (<xref ref-type="bibr" rid="B13">13</xref>). Phosphodiesterase activity was measured using bis-<italic>p</italic>-nitrophenyl phosphate in tris (hydroxymethyl)aminomethane buffer (pH 8.0) (<xref ref-type="bibr" rid="B13">13</xref>). It should be noted that the measured activity represents potential rather than <italic>in-situ</italic> activity and reflects the amount of active enzyme present in the soil under substrate-saturating assay conditions (<xref ref-type="bibr" rid="B14">14</xref>). Also, because <italic>p</italic>-nitrophenyl phosphate do not cross the cytoplasmic membrane (<xref ref-type="bibr" rid="B15">15</xref>), the activities are likely derived extracellular enzymes.</p>
<p>In this study, we considered the possibility that a large amount of DNA derived from microbial residues might remain in the soil after heating treatment at 105 &#xb0;C. Therefore, we evaluated microbial abundance by plate-count technique instead of quantitative PCR. Culturable bacteria were enumerated by a dilution plate-count technique using a diluted TSB agar plate (tryptic soy broth, 2.0 g; agar, 10 g; cycloheximide, 50 mg per liter) (<xref ref-type="bibr" rid="B16">16</xref>). Culturable fungi were enumerated using Martin&#x2019;s rose Bengal streptomycin glucose agar plates (KH<sub>2</sub>PO<sub>4</sub>, 1.0 g; MgSO<sub>4</sub>&#xb7;7H<sub>2</sub>O, 0.5 g; peptone, 5.0 g; glucose, 10 g; rose Bengal, 33 mg; agar, 20 g; streptomycin, 30 mg per liter) (<xref ref-type="bibr" rid="B17">17</xref>). Soil suspensions in sterile tap water (1:10 w/v) were dispersed with a Warring blender (Sakuma Seisakusyo, Japan) at 10,000 rpm for 3 min (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>), and the resulting slurry was decimally diluted with sterile tap water.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Tukey&#x2019;s HSD test, along with one-way ANOVA, were conducted to compare the effects of the antibiotics on soil phosphatase activities and microbial counts. Goodness of fit to a normal distribution and homogeneity of variances were confirmed using the Shapiro&#x2013;Wilk test and Bartlett&#x2019;s test, respectively.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and discussion</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effects of antibiotic treatments on microbial populations</title>
<p>We used two arable soils and two forest soils in this study. Forest soils had higher organic matter content than arable soils (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). While the addition of cycloheximide + nystatin markedly decreased culturable fungal abundance to near the detection limit (p &lt;0.05), it had only a minor effect on culturable bacterial populations, resulting in bacteria-dominated soil samples (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). In contrast, the addition of chloramphenicol + streptomycin significantly reduced culturable bacterial abundance (p &lt;0.05) without affecting fungal abundance in all but soil no. 4, leading to fungi-dominated soil samples in all other soils. These findings indicate that selective inhibition using antibiotics successfully established both bacteria- and fungi-dominated soil samples in this study. The inability to obtain soil samples consisting exclusively of bacteria or fungi is likely due to the ineffectiveness of the added antibiotics against microorganisms located within soil aggregates. It should be noted that the chloramphenicol + streptomycin treatment failed to significantly reduce culturable bacterial abundance in soil no. 4. However, the activities of phosphatases were low in this treatment; thus, the conclusion obtained was not affected. This is discussed in greater detail below. It is also noteworthy that chloramphenicol + streptomycin significantly increased fungi counts, whereas cycloheximide + nystatin significantly increased bacterial counts in some soils. These results are likely explained by the surviving microbial groups proliferating by utilizing the generated microbial necromass as substrates. For example, treatment with chloramphenicol + streptomycin likely caused substantial bacterial death, providing substrates that allowed fungi to grow.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Effects of antibiotics addition on microbial counts (mean &#xb1; standard error). Microbial counts for fungi in soil No. 1 <bold>(a)</bold>, bacteria in soil No. 1 <bold>(b)</bold>, fungi in soil No. 2 <bold>(c)</bold>, bacteria in soil No. 2 <bold>(d)</bold>, fungi in soil No. 3 <bold>(e)</bold>, bacteria in soil No. 3 <bold>(f)</bold>, fungi in soil No. 4 <bold>(g)</bold>, and bacteria in soil No. 4 <bold>(h)</bold>. Ch, chloramphenicol; St, streptomycin; Cy, cycloheximide; Ny, nystatin; ND, not detected. Bar with the same letter for each soil are not significantly different at <italic>p</italic> = 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-06-1761207-g001.tif">
<alt-text content-type="machine-generated">Eight-panel bar chart compares microbial counts for fungi (left) and bacteria (right) in four treatments: Control, Ch plus St, Cy plus Ny, and Ch plus St plus Cy plus Ny. Fungi panels often show ND (not detected) for Ch plus St plus Cy plus Ny, while bacteria counts are highest in control or Cy plus Ny. Statistical group labels (a, b, c, d) are above each bar. Error bars indicate variability. Y-axis is labeled microbial counts (CFU per gram dry soil).</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Bacterial and fungal contributions to phosphatases production in soils</title>
<p>The activities of all three phosphatases (except alkaline phosphatase in soil no. 2) were significantly higher in bacteria-dominated soil samples treated with cycloheximide + nystatin than in fungi-dominated soil samples treated with chloramphenicol + streptomycin (p &lt;0.05) in soils 1, 2, and 4. Additionally, the activities of these phosphatases were comparable to those of the control without added antibiotics for these three soils (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>&#x2013;<xref ref-type="fig" rid="f4"><bold>4</bold></xref>). These results suggest that bacteria mainly produced all three phosphatases in soils 1, 2, and 4. In contrast, the activities of all three phosphatases were significantly higher in fungi-dominated soil samples treated with chloramphenicol + streptomycin than in bacteria-dominated soil samples treated with cycloheximide + nystatin (p &lt;0.05) in soil no. 3, while they were comparable to those of the control without added antibiotics. This finding suggests that fungi mainly produced all three phosphatases in soil no. 3. A possible explanation for the dominant contribution of fungi to phosphatases production observed only in soil no. 3 might be that this forest soil had the lowest pH among the soils used (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). It is well known that fungi play a more important role than bacteria in organic matter decomposition in acidic forest soils (<xref ref-type="bibr" rid="B20">20</xref>). Kuroki and Hayano (<xref ref-type="bibr" rid="B8">8</xref>) also reported that the production of phosphodiesterase was primarily attributed to fungi in a forest soil with a pH of 5.5. No effect of Truog-P was observed on whether bacteria or fungi dominated phosphatase production.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of antibiotics addition on acid phosphatase activity (mean &#xb1; standard error) in soil No. 1 <bold>(a)</bold>, No. 2 <bold>(b)</bold>, No. 3 <bold>(c)</bold>, and No. 4 <bold>(d)</bold>. Ch, chloramphenicol; St, streptomycin; Cy, cycloheximide; Ny, nystatin. Bar with the same letter for each soil are not significantly different at <italic>p</italic> = 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-06-1761207-g002.tif">
<alt-text content-type="machine-generated">Four grouped bar graphs show acid phosphatase activity in &#x3bc;mol per gram dry soil per hour under different treatments: Control, Ch plus St, Cy plus Ny, and Ch plus St plus Cy plus Ny. Panels (a), (b), (c), and (d) display results with similar patterns, where Control and Ch plus St treatments have higher values labeled &#x201c;a,&#x201d; Cy plus Ny and Ch plus St plus Cy plus Ny treatments have lower values labeled &#x201c;b,&#x201d; and standard error bars are present. X-axis labels are rotated for clarity.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of antibiotics addition on alkaline phosphatase activity (mean &#xb1; standard error) in soil No. 1 <bold>(a)</bold>, No. 2 <bold>(b)</bold>, No. 3 <bold>(c)</bold>, and No. 4 <bold>(d)</bold>. Ch, chloramphenicol; St, streptomycin; Cy, cycloheximide; Ny, nystatin. Bar with the same letter for each soil are not significantly different at <italic>p</italic> = 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-06-1761207-g003.tif">
<alt-text content-type="machine-generated">Four-panel bar graph showing alkaline phosphatase activity (micromoles per gram dry soil per hour) under different treatments: Control, Ch plus St, Cy plus Ny, and Ch plus St plus Cy plus Ny. Each panel, labeled a to d, displays significant differences among treatments with letters above bars. Overall, Control and Ch plus St treatments exhibit higher enzyme activity compared to Cy plus Ny and the combined treatment in most panels. Error bars represent standard error.</alt-text>
</graphic></fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effects of antibiotics addition on phosphodiesterase activity (mean &#xb1; standard error) in soil No. 1 <bold>(a)</bold>, No. 2 <bold>(b)</bold>, No. 3 <bold>(c)</bold>, and No. 4 <bold>(d)</bold>. Ch, chloramphenicol; St, streptomycin; Cy, cycloheximide; Ny, nystatin. Bar with the same letter for each soil are not significantly different at <italic>p</italic> = 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsoil-06-1761207-g004.tif">
<alt-text content-type="machine-generated">Bar graph with four panels labeled a to d showing phosphodiesterase activity in micromoles per gram dry soil per hour for four treatments: Control, Ch plus St, Cy plus Ny, and Ch plus St plus Cy plus Ny. Vertical bars indicate means with error bars, and statistical groupings are labeled as a, b, or c within each panel. Activity is highest in Ch plus St and/or Control for panels a and c, highest in Cy plus Ny for panel d, and generally lowest in Ch plus St plus Cy plus Ny treatment across all panels.</alt-text>
</graphic></fig>
<p>While it is generally believed that bacteria are the main source of alkaline phosphatase activity in soils (<xref ref-type="bibr" rid="B5">5</xref>), our findings showed that fungi might be the primary contributors in at least some other soils. Although this study included a limited number of samples, these results indicate that phosphatase production in acidic forest soils (including that of alkaline phosphatase) might be primarily mediated by fungi. The results of this study also indicate that, within a given soil, the same microbial group (either bacteria or fungi) tended to dominate the production of all three phosphatase types. The origins of these phosphatases will need to be confirmed in the future by proteomic analyses. Finally, the identity of the dominant producer might be dependent on soil pH.</p>
</sec>
</sec>
</body>
<back>
<sec id="s4" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>MS: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. KS: Conceptualization, Funding acquisition, Resources, Supervision, Writing &#x2013; review &amp; editing. HM: Resources, Supervision, Writing &#x2013; review &amp; editing. KN: Resources, Supervision, Writing &#x2013; review &amp; editing. SO: Resources, Supervision, Writing &#x2013; review &amp; editing. HS: Conceptualization, Project administration, Supervision, Writing &#x2013; review &amp; editing. TK: Conceptualization, Project administration, Supervision, Writing &#x2013; review &amp; editing, Formal analysis, Funding acquisition, Methodology, Resources, Validation, Writing &#x2013; original draft.</p></sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s8" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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