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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1328965</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Moderate increase of precipitation stimulates CO<sub>2</sub> production by regulating soil organic carbon in a saltmarsh</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Zhang</surname> <given-names>Lirong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Han</surname> <given-names>Guangxuan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Zhou</surname> <given-names>Lifeng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author"><name><surname>Li</surname> <given-names>Xinge</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author"><name><surname>Wang</surname> <given-names>Xiaojie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Zhang</surname> <given-names>Xiaoshuai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Xiao</surname> <given-names>Leilei</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences</institution>, <addr-line>Yantai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>University of Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Shandong Key Laboratory of Coastal Environmental Processes</institution>, <addr-line>Yantai</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>The Yellow River Delta Ecological Research Station of Coastal Wetland, Chinese Academy of Sciences</institution>, <addr-line>Yantai</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Geography and Environment, Liaocheng University</institution>, <addr-line>Liaocheng</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>The College of Geography and Environmental Science, Henan University</institution>, <addr-line>Kaifeng</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Ke-Qing Xiao, University of Leeds, United Kingdom</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Ming Zhang, Huazhong Agricultural University, China; Songlin Wu, The University of Queensland, Australia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Leilei Xiao, <email>llxiao@yic.ac.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1328965</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Zhang, Han, Zhou, Li, Wang, Zhang and Xiao.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Han, Zhou, Li, Wang, Zhang and Xiao</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>Saltmarsh is widely recognized as a blue carbon ecosystem with great carbon storage potential. Yet soil respiration with a major contributor of atmospheric CO<sub>2</sub> can offset its carbon sink function. Up to date, mechanisms ruling CO<sub>2</sub> emissions from saltmarsh soil remain unclear. In particular, the effect of precipitation on soil CO<sub>2</sub> emissions is unclear in coastal wetlands, due the lack of outdoor data in real situations. We conducted a 7-year field manipulation experiment in a saltmarsh in the Yellow River Delta, China. Soil respiration in five treatments (&#x2212;60%, &#x2212;40%, +0%, +40%, and&#x2009;+&#x2009;60% of precipitation) was measured in the field. Topsoils from the last 3 years (2019&#x2013;2021) were analyzed for CO<sub>2</sub> production potential by microcosm experiments. Furthermore, quality and quantity of soil organic carbon and microbial function were tested. Results show that only the moderate precipitation rise of +40% induced a 66.2% increase of CO<sub>2</sub> production potential for the microcosm experiments, whereas other data showed a weak impact. Consistently, soil respiration was also found to be strongest at +40%. The CO<sub>2</sub> production potential is positively correlated with soil organic carbon, including carbon quantity and quality. But microbial diversity did not show any positive response to precipitation sizes. r-/K-strategy seemed to be a plausible explanation for biological factors. Overall, our finding reveal that a moderate precipitation increase, not decrease or a robust increase, in a saltmarsh is likely to improve soil organic carbon quality and quantity, and bacterial oligotroph:copiotroph ratio, ultimately leading to an enhanced CO<sub>2</sub> production.</p>
</abstract>
<kwd-group>
<kwd>precipitation change</kwd>
<kwd>saltmarsh</kwd>
<kwd>CO<sub>2</sub> production potential</kwd>
<kwd>carbon quantity and quality</kwd>
<kwd>microbial r-/K-strategy</kwd>
</kwd-group>
<contract-num rid="cn1">2021213</contract-num>
<contract-num rid="cn2">U2106209, 42071126</contract-num>
<contract-num rid="cn3">42077025</contract-num>
<contract-sponsor id="cn1">Youth Innovation Promotion Association, CAS<named-content content-type="fundref-id">10.13039/501100004739</named-content></contract-sponsor>
<contract-sponsor id="cn2">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn3">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="8"/>
<word-count count="5417"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiological Chemistry and Geomicrobiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>As part of global climate change, precipitation size is constantly changing on a regional or large scale (<xref ref-type="bibr" rid="ref2">Alster et al., 2013</xref>; <xref ref-type="bibr" rid="ref9003">IPCC, 2021</xref>; <xref ref-type="bibr" rid="ref40">Wu et al., 2023</xref>). It can alter soil moisture and salinity to influence soil respiration in a variety of ecosystems (<xref ref-type="bibr" rid="ref15">Han et al., 2018</xref>; <xref ref-type="bibr" rid="ref21">Li et al., 2021</xref>; <xref ref-type="bibr" rid="ref9004">Morris et al., 2022</xref>). Effects of precipitation events on soil respiration are variable and ecosystem-dependent (<xref ref-type="bibr" rid="ref19">Jiang et al., 2013</xref>; <xref ref-type="bibr" rid="ref30">Su et al., 2023a</xref>). For example, strong precipitation is likely to increase soil moisture levels but decrease CO<sub>2</sub> fluxes in tropical rain forests (<xref ref-type="bibr" rid="ref9">Cleveland et al., 2010</xref>; <xref ref-type="bibr" rid="ref45">Zhang et al., 2015</xref>). Similarly, an observation suggested that precipitation events could decrease soil respiration by increasing soil moisture and inducing anoxic conditions in a coastal wetland (<xref ref-type="bibr" rid="ref15">Han et al., 2018</xref>). In contrast, coastal wetland became a weaker annual CO<sub>2</sub> absorption due to the extreme precipitation event (<xref ref-type="bibr" rid="ref39">Wei et al., 2021</xref>). <xref ref-type="bibr" rid="ref35">Wang et al. (2019)</xref> suggested an active soil respiration to changed precipitation. Increased precipitation stimulated soil respiration by 26.1%, while a reduction by 10.8% responding to low precipitation in a desert steppe (<xref ref-type="bibr" rid="ref35">Wang et al., 2019</xref>). Further, ambient precipitation determined the sensitivity of soil respiration to different treatments (<xref ref-type="bibr" rid="ref22">Li et al., 2023</xref>). To data, the response regime and governing factor on soil respiration are still not fully constrained in response to changed precipitation size (<xref ref-type="bibr" rid="ref31">Su et al., 2023b</xref>), especial for coastal wetland soil sensitive to moisture content (<xref ref-type="bibr" rid="ref22">Li et al., 2023</xref>).</p>
<p>Increased soil respiration rate by a more large size of precipitation was likely due to favorable soil microbial activity and community composition (<xref ref-type="bibr" rid="ref9002">Huang et al., 2018</xref>) or plant growth (<xref ref-type="bibr" rid="ref44">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="ref9008">Zhou et al., 2019</xref>), litter decomposition (<xref ref-type="bibr" rid="ref4">Canarini et al., 2017</xref>; <xref ref-type="bibr" rid="ref9006">Qin et al., 2019</xref>), carbon substrate availability (<xref ref-type="bibr" rid="ref34">Wang et al., 2020</xref>), and soil salinization (<xref ref-type="bibr" rid="ref9001">Han et al., 2015</xref>; <xref ref-type="bibr" rid="ref9007">Zhao et al., 2020</xref>). Our previous results revealed that precipitation treatments in a coastal wetland significantly affected soil respiration through a series of abiotic and biotic processes, mainly by changing soil water and salt conditions (<xref ref-type="bibr" rid="ref21">Li et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Huang et al., 2023</xref>). In comparison, some studies showed high levels of precipitation caused soil organic carbon to accumulate, due to oxygen-limitation (<xref ref-type="bibr" rid="ref20">Kramer and Chadwick, 2018</xref>; <xref ref-type="bibr" rid="ref9005">Possinger et al., 2020</xref>). Moreover, variable responses of dissolved organic carbon to precipitation events were also confirmed (<xref ref-type="bibr" rid="ref33">Suseela et al., 2013</xref>; <xref ref-type="bibr" rid="ref38">Warner et al., 2019</xref>). In compared to recalcitrant carbon, the labile one is more preferred by microbes (<xref ref-type="bibr" rid="ref7">Chen et al., 2022</xref>). To this end, soil carbon quantity and quality reserve more attention to explain the link between precipitation and soil respiration.</p>
<p>Precipitation size can directly affect microbial community and function. Currently, aiming to gain a deeper understanding of interaction of soil organic carbon to microorganisms, ecologists have tried to classify microbial taxa based on their life strategies and resource preferences (e.g., copiotrophs vs. oligotrophs) (<xref ref-type="bibr" rid="ref13">Fierer et al., 2007</xref>; <xref ref-type="bibr" rid="ref10">Cotrufo et al., 2015</xref>; <xref ref-type="bibr" rid="ref7">Chen et al., 2022</xref>), in term of r-/K-strategy. Microbial r-strategies (copiotrophic species) refer to organisms that have rapid growth rate and able to make full use of easily decomposed carbon. In contrast, K-strategy bacteria (oligotrophic species) are characterized by slower growth and have a more efficiency to utilize recalcitrant carbon (<xref ref-type="bibr" rid="ref13">Fierer et al., 2007</xref>; <xref ref-type="bibr" rid="ref17">Ho et al., 2017</xref>; <xref ref-type="bibr" rid="ref29">Singh, 2018</xref>). The r-categories and K-categories provide a useful framework for understanding the traits that functionally similar taxa possess (<xref ref-type="bibr" rid="ref13">Fierer et al., 2007</xref>; <xref ref-type="bibr" rid="ref17">Ho et al., 2017</xref>). Precipitation size may affect soil respiration by change of microbial r-/K-strategy.</p>
<p>We hypothesized: (1) The response pattern (positive or negative) of CO<sub>2</sub> production potential is likely to be distinct across the precipitation gradient; (2) Both quantity and quality of soil organic carbon are involved in the response of soil respiration; (3) Microbial community and r-/K-strategy govern soil respiration. To address the above potential mechanisms of the influence of precipitation change on soil CO<sub>2</sub> emissions, we conducted a 7-year (2014&#x2013;2021) field experiment in the Yellow River Delta, China. There were five treatments for this field experiment (&#x2212;60%, &#x2212;40%, +0%, +40%, and +60% of precipitation). First, we sampled topsoils in 2019&#x2013;2021 and conducted some microcosm experiments. A detailed analysis on soil organic carbon characteristics and microbial function was conducted to verify proposed hypothesis.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Site description</title>
<p>This study was conducted in the natural marshes (37&#x00B0;45&#x2032;50&#x2033;N, 118&#x00B0;59&#x2032;24&#x2033;E), which is located in the Yellow River Delta, Shandong, China. The local climate is a warm temperate and continental monsoon climate with a mean annual temperature of 12.9&#x00B0;C and minimum mean temperatures of 26.7&#x00B0;C in July and &#x2212;2.8&#x00B0;C in January, respectively. The average annual precipitation is 530&#x2013;630&#x2009;mm, concentrated mostly in summer (from May to September). The soil texture in this region is sandy clay loam, and the soil type gradually changes from fluvo-aquic soil to saline soil (<xref ref-type="bibr" rid="ref15">Han et al., 2018</xref>). The main founding species in this place are flood-tolerant <italic>Phragmites australis</italic> and salt-tolerant Suaeda salsa.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Experimental design</title>
<p>The field precipitation experiment, initiated in October 2014, included five treatments: a decrease of 60% (&#x2212;60%) and 40% (&#x2212;40%), control, and an increase of 40% (+40%) and 60% (+60%) of precipitation. This experiment was established using a completely randomized block design on the natural vegetation and soil at the Yellow River Delta Ecological Research Station of the Coastal Wetland, Chinese Academy of Science.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> In all, 20 plots in total were randomly assigned to the five precipitation treatments, with each treatment being randomly repeated four times. The plot size was 3&#x2009;&#x00D7;&#x2009;4&#x2009;m with 1&#x2009;m between any two adjacent plots, and a core area of 2&#x2009;&#x00D7;&#x2009;3&#x2009;m was used for measurements. Detailed information is given our previous studies (<xref ref-type="bibr" rid="ref21">Li et al., 2021</xref>, <xref ref-type="bibr" rid="ref22">2023</xref>). Typically, a 21&#x2009;cm-diameter 8&#x2009;cm height polyvinyl chloride polymer collar was permanently installed 5&#x2009;cm into the soil at the center of each plot for the measurement of soil respiration. We measured soil respiration by using an LI-8100 infrared gas analyzer, Li-Cor, Inc., Lincoln, NE, United States, connected to an 8100-103 soil respiration chamber. One or two days before the measurements, all living plants inside the collars were carefully clipped from the soil surface to exclude aboveground plant respiration. To eliminate diurnal variation, the measurements of soil respiration were collected between 8:00&#x2009;a.m. and 12:00&#x2009;p.m. (local time).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>CO<sub>2</sub> production potential</title>
<p>For CO<sub>2</sub> production potential test with microcosm experiment, topsoil samples (0&#x2013;10&#x2009;cm) were collected at the end of the 2019&#x2013;2021 growing seasons (October&#x2013;November) using a manual stainlesssteel corer of 10&#x2009;cm diameter. 5&#x2009;g soils and 5&#x2009;mL sterile water were added into a anaerobic tube with the total volume of 25&#x2009;mL. Anaerobic vials were completed with three vacuum/charging cycles of high purity nitrogen, resulting in an anaerobic environment filled with high-purity nitrogen. Then the incubation was conducted at room temperature in a dark environment. The gas was measured and collected every 3 days or so to determine its gas concentration. The incubation was terminated when the gas production concentration peaked or declined. The gas samples were analyzed with a gas chromatograph (GC) (Agilent 7890A, United States) equipped with a flame ionization detector and an automated flow-injection apparatus.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Soil property analyses</title>
<p>Based on the analysis of CO<sub>2</sub> production potential, the samples obtained in 2021 were used to further soil property and microbial analysis. Total carbon (TC) and total nitrogen (TN) were measured on an elemental analyzer (Vario MACRO cube, Elementar Analysensysteme, Germany). We removed total inorganic carbon with hydrochloric acid (HCl, 1&#x2009;mol&#x2009;L<sup>&#x2212;1</sup>) from the samples, and then measured total organic carbon (TOC) on the elemental analyzer. Soil carbon (C) quality was characterized by relative peak area of aliphatic and aromatic hydrocarbons, which was determined using Fourier transform infrared spectroscopy (FTIR, Nicolet iS5, Thermo Scientific). Before the determination, the air-dried soil was screened with a 300-mesh screen for small particles, and ground with an agate mortar and pestle for further homogenization. The reflection spectra of 400&#x2009;~&#x2009;4,000&#x2009;cm<sup>&#x2212;1</sup> were obtained by FTIR, and the relative peak areas of different characteristic peaks were calculated. The abundance of other organic carbon functional groups can be represented by the relative peak area of corresponding characteristic peaks. In this paper, soil carbon quality can be represented by the ratio of aliphatic groups to aromatics (rA2930:rA1635 ratio), and the higher the ratio, the better the quality (<xref ref-type="bibr" rid="ref7">Chen et al., 2022</xref>). For example, the ratio of rA2930:rA1635 is a proxy of the ratio of labile carbon (aliphatic) and not easily decomposed carbon (aromatics). Because aliphatic compounds are usually composed of straight, branched, or annular carbon atoms connected by single or multiple carbon&#x2013;carbon bonds. In contrast, aromatic compounds are composed of benzene rings and their derivatives with a stable ring structure and high saturation. Therefore, aliphatic reactions are likely to be more active than aromatic reactions.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Molecular analyses of microbial community composition</title>
<p>We used a PowerSoil DNA Kit (Qiagen) to extract DNA. As is widely acknowledged, V4 region of the 16S rRNA gene with the primers 515F (5&#x2032;-GTGYCAGCMGCCGCGGTAA-3&#x2032;) and 806R (5&#x2032;-GGACTACNVGGGTWTCTAAT-3&#x2032;) can be used to analyze bacterial community. Similarly, the primers ITS1-F (5&#x2032;-CTTGGTCATTTAGAGGAAGTAA-3&#x2032;) and ITS2 (5&#x2032;-GCTGCGTTCTTCATCGATGC-3&#x2032;) were used to test fungal community by amplifying the internal transcribed spacer (ITS1) region. To well distinguish the samples after sequencing, barcode sequences were added to the primers. The PCR conditions for both the 16S and ITS amplification procedures can refer to <xref ref-type="bibr" rid="ref7">Chen et al. (2022)</xref>. The Illumina HiSeq platform with a 150&#x2009;bp paired-end sequencing kit was used to complete amplicons sequence. K-strategy of bacterial communities are in general with fewer rrn copies, whereas those with more rrn copies are classified to a r-strategy (<xref ref-type="bibr" rid="ref28">Roller et al., 2016</xref>). CO<sub>2</sub> production potential under precipitation treatments might intimately rely on microbial community or the activity of certain specific microorganisms to in anaerobic environments. Therefore, metabolically active bacteria and fungal were both tested in our experiments. Only the genes with an abundance at top 10 were presented. Sequence data associated with this project have been deposited in the NCBI Short Read Archive database (Accession Number: PRJNA1060787).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Data were presented as the mean&#x2009;&#x00B1;&#x2009;standard deviation of triplicate cultures. All statistical analyses were performed using Origin 2021 (Origin Lab Corporation, United States) software. A <italic>t</italic>-test was used to analyze the significance level. Significance was accepted at the <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 level of probability.</p>
</sec>
</sec>
<sec sec-type="results-and-discussion" id="sec9">
<label>3</label>
<title>Results and discussion</title>
<p>Here, we conducted in field experiments to simulate &#x2212;60, &#x2212;40%, +40%, and +60% precipitation vs. ambient conditions from 2014 in the Yellow River Delta region of China. Soil respiration from a 7-year of simulation of precipitation in 2021 was tested. The following sections present results on soil CO<sub>2</sub> production. Further, the physical and chemical properties of soils, the quantity and quality of organic carbon, and the role of microorganisms on CO<sub>2</sub> production were discussed.</p>
<sec id="sec10">
<label>3.1</label>
<title>Soil CO<sub>2</sub> production</title>
<p>There was no significant effect on CO<sub>2</sub> production from precipitation sizes in 2019 (<xref ref-type="fig" rid="fig1">Figure 1A</xref>), possible due to an extreme rainfall this year (<xref ref-type="bibr" rid="ref22">Li et al., 2023</xref>). In two consecutive years (2021 and 2022), however, we clearly observed that a&#x2009;+&#x2009;40% increase of precipitation boosted CO<sub>2</sub> production (<xref ref-type="fig" rid="fig1">Figures 1B</xref>,<xref ref-type="fig" rid="fig1">C</xref>). This stimulated influence was much stronger than that with +60%. Specially, we found a good match between soil respiration from <italic>in situ</italic> experiment (<xref ref-type="bibr" rid="ref22">Li et al., 2023</xref>) and the microcosm experiment (<xref ref-type="fig" rid="fig1">Figure 1D</xref>). Therefore, we confirmed that a moderate increase of precipitation, around +40%, can stimulate a peak of soil mineralization. Furthermore, the effect of decreased precipitations on soil respiration is less obvious. Our results also further suggested an asymmetric response of soil respiration to precipitation sizes in coastal wetland (<xref ref-type="bibr" rid="ref21">Li et al., 2021</xref>), same as some terrestrial ecosystems (<xref ref-type="bibr" rid="ref12">Du et al., 2020</xref>; <xref ref-type="bibr" rid="ref26">Li et al., 2020</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Variation of CO<sub>2</sub> production potential in topsoil under precipitation treatments in 2019&#x2009;~&#x2009;2021 <bold>(A&#x2013;C)</bold>. CO<sub>2</sub> correlation analysis of <italic>in situ</italic> soil respiration and laboratory incubation for samples from 2021 <bold>(D)</bold>. Vertical bars indicate standard errors. &#x201C;&#x2212;60%&#x201D; and &#x201C;&#x2212;40%&#x201D;: 60 and 40% decreases in precipitation, respectively; &#x201C;Control&#x201D;: ambient precipitation; &#x201C;+40%&#x201D; and &#x201C;+60%&#x201D;: 40 and 60% increases in precipitation, respectively. Note: three replicates were used in this study in &#x201C;+40%&#x201D; group.</p>
</caption>
<graphic xlink:href="fmicb-15-1328965-g001.tif"/>
</fig>
<p>Precipitation treatment can change the physical and chemical properties of soil. Based on the FTIR spectra data (relative peak area) of the soils, the mineral composition is mainly organosilicon (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>), and precipitation treatment had no obvious effect on CO<sub>2</sub> production (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). We found that a moderate increase in precipitation (+40%) decreased soil conductivity (<xref ref-type="table" rid="tab1">Table 1</xref>). And similar results also have been found in some multi-year field manipulation experiments (<xref ref-type="bibr" rid="ref14">Han et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Huang et al., 2023</xref>). However, no relation between soil electric conductivity and CO<sub>2</sub> production was discovered (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). Moderate increase of precipitation (+40%) can lead to the increase of total nitrogen, total carbon and total plant biomass (<xref ref-type="table" rid="tab1">Table 1</xref>). Precipitation may regulate maximum plant biomass accumulation through water and salt transport (<xref ref-type="bibr" rid="ref8">Chu et al., 2021</xref>; <xref ref-type="bibr" rid="ref22">Li et al., 2023</xref>). We also found that soil carbon and nitrogen significantly responded to precipitation size and affected soil respiration.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic physicochemistry of soils and plant for five treatments.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Treatment</th>
<th align="center" valign="top">SM (%)</th>
<th align="center" valign="top">ST (&#x00B0;C)</th>
<th align="center" valign="top">Soil EC (mS cm<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">TC (g&#x2009;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">TN (g&#x2009;kg<sup>&#x2212;1</sup>)</th>
<th align="center" valign="top">TB (g&#x2009;m<sup>&#x2212;2</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x2212;60%</td>
<td align="char" valign="top" char=".">33.55a</td>
<td align="char" valign="top" char=".">14.66a</td>
<td align="char" valign="top" char=".">4.31a</td>
<td align="char" valign="top" char=".">18.18a</td>
<td align="char" valign="top" char=".">0.89a</td>
<td align="char" valign="top" char=".">1818.52a</td>
</tr>
<tr>
<td align="left" valign="top">&#x2212;40%</td>
<td align="char" valign="top" char=".">32.06a</td>
<td align="char" valign="top" char=".">14.12ab</td>
<td align="char" valign="top" char=".">3.71a</td>
<td align="char" valign="top" char=".">17.71a</td>
<td align="char" valign="top" char=".">0.85a</td>
<td align="char" valign="top" char=".">1924.33ab</td>
</tr>
<tr>
<td align="left" valign="top">Control</td>
<td align="char" valign="top" char=".">34.24ab</td>
<td align="char" valign="top" char=".">13.49bc</td>
<td align="char" valign="top" char=".">3.38a</td>
<td align="char" valign="top" char=".">18.20a</td>
<td align="char" valign="top" char=".">0.92a</td>
<td align="char" valign="top" char=".">2116.42b</td>
</tr>
<tr>
<td align="left" valign="top">+40%</td>
<td align="char" valign="top" char=".">36.75bc</td>
<td align="char" valign="top" char=".">13.10c</td>
<td align="char" valign="top" char=".">1.16b</td>
<td align="char" valign="top" char=".">22.13b</td>
<td align="char" valign="top" char=".">1.27b</td>
<td align="char" valign="top" char=".">2587.72c</td>
</tr>
<tr>
<td align="left" valign="top">+60%</td>
<td align="char" valign="top" char=".">38.59c</td>
<td align="char" valign="top" char=".">13.00c</td>
<td align="char" valign="top" char=".">1.73b</td>
<td align="char" valign="top" char=".">17.71a</td>
<td align="char" valign="top" char=".">0.86a</td>
<td align="char" valign="top" char=".">2855.97c</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SM, Soil moisture; ST, soil temperature; soil EC, soil electric conductivity; TPB, total plant biomass; TC, total carbon; TN, total nitrogen; &#x201C;&#x2212;60%&#x201D; and &#x201C;&#x2212;40%&#x201D;: 60 and 40% decreases in precipitation, respectively; &#x201C;Control&#x201D;: ambient precipitation; &#x201C;+40%&#x201D; and &#x201C;+60%&#x201D;: 40 and 60% increases in precipitation, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Organic carbon quality and quantity</title>
<p>Our study illustrated that a moderate increase in precipitation increased TOC content by +107.6% (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). By contrast, the &#x2212;60%, &#x2212;40%, and +60% treatments had no significant difference. A positive correlation between CO<sub>2</sub> production potential and total organic carbon content was discovered (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1A</xref>). It was suggested that increased precipitation can increase SOC stocks by reducing soil salinity (<xref ref-type="bibr" rid="ref11">Ding et al., 2015</xref>; <xref ref-type="bibr" rid="ref32">Sun et al., 2023</xref>). Moreover, the precipitation effect can be directly associated with an increase of net primary production of ecosystems, thus increasing organic matter deposition in soil (<xref ref-type="bibr" rid="ref29">Singh, 2018</xref>). Carbon content of plants was improved by high precipitation (<xref ref-type="table" rid="tab1">Table 1</xref>), however, we did not find a direct correlation between plant carbon content and soil respiration (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). High soil carbon content may be regarded as a strong sign for soil respiration (<xref ref-type="bibr" rid="ref1">Abdalla et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">Chen et al., 2023</xref>). In addition to carbon quantity, we also found that its quality also governed soil respiration (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1B</xref>). For example, treatment by +40% precipitation significantly enhanced carbon quality by 99.8% in comparison with the control (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). Soil organic carbon and labile carbon along a precipitation gradient was also revealed along the Northeast China transect (<xref ref-type="bibr" rid="ref37">Wang et al., 2005</xref>) and Qinghai-Tibet Plateau (<xref ref-type="bibr" rid="ref36">Wang et al., 2022</xref>). It is reasonable that the high carbon quality facilitates soil respiration (<xref ref-type="bibr" rid="ref25">Li et al., 2023a</xref>). In this study, we cannot rule out the effect of total nitrogen on soil respiration (<xref ref-type="bibr" rid="ref35">Wang et al., 2019</xref>). Because a significant high of total nitrogen was found in the treatment with +40% precipitation. Therefore, as two important sources of microbial growth, carbon and nitrogen, both respond to changes in precipitation, further affecting soil respiration and CO<sub>2</sub> emissions. For the detailed carbon components, we did not find any difference for alcohol phenols and polysaccharides (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>), suggesting that these components had weak response to precipitation size.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Soil total organic carbon <bold>(A)</bold> and carbon quality <bold>(B)</bold> of topsoil under different precipitation treatments. Different small letters indicate significant differences between precipitation treatments at <italic>p</italic>&#x2009;&#x003C;&#x2009;0. 05.</p>
</caption>
<graphic xlink:href="fmicb-15-1328965-g002.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>3.3</label>
<title>Bacterial r-/K-strategy related to CO<sub>2</sub> production</title>
<p>Out of our expectation, the effect of precipitation on CO<sub>2</sub> production potential did not depend on microbial diversity (<xref ref-type="fig" rid="fig3">Figures 3A,B</xref>, <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>). In contrast, bacterial r-/K-selected categories were likely to explain microbial response to precipitation sizes (<xref ref-type="fig" rid="fig3">Figures 3C</xref>,<xref ref-type="fig" rid="fig3">D</xref>). It was demonstrated that bacterial communities in C-rich soils were dominated by K-strategists, while those in the comparatively C-poor soils are dominated by r-strategists (<xref ref-type="bibr" rid="ref13">Fierer et al., 2007</xref>; <xref ref-type="bibr" rid="ref7">Chen et al., 2022</xref>). For other extreme conditions, however, K-strategist microbes were also found in carbon-rich environments (<xref ref-type="bibr" rid="ref3">Angel et al., 2010</xref>; <xref ref-type="bibr" rid="ref5">Cary et al., 2010</xref>). In this study, oxygen restriction appears to be a factor affecting r-/K- strategies. Oligotrophic bacteria, such as Actinobacteriota and Chloroflexi, were likely to be survive in harsh environments than polytrophic bacteria under anaerobic conditions. Specially, Actinobacteriota and Chloroflexi microorganisms were positively correlated with CO<sub>2</sub> production potential (<xref ref-type="fig" rid="fig3">Figures 3E</xref>,<xref ref-type="fig" rid="fig3">F</xref>). Oligotroph:copiotroph ratio was also able to use as a characterization and indication of CO<sub>2</sub> production potential. With an obvious difference, fungal r/K-selected category was not likely to govern CO<sub>2</sub> production (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S3</xref>). Thus, bacteria may be more tolerant of anaerobic environments and actively response to precipitation size change, which will result in corresponding change of CO<sub>2</sub> production.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Effects of different precipitation sizes on soil microbial functions and specific species. <bold>(A)</bold> Soil bacterial diversity. <bold>(B)</bold> Correlation between soil bacterial diversity and CO<sub>2</sub> production potential. <bold>(C)</bold> Oligotroph:copiotroph ratio of soil bacterial communities. <bold>(D)</bold> Correlation between oligotroph:copiotroph ratio of soil bacterial communities and CO<sub>2</sub> production potential. <bold>(E)</bold> Correlation between the abundance of Actinobacteriota (Actinobacteria phylum) and CO<sub>2</sub> concentration in the topsoil. <bold>(F)</bold> Correlation between the abundance of Chloroflexi (Chloroflexi phylum) and CO<sub>2</sub> concentration. Different letters indicate significant differences between treatments, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fmicb-15-1328965-g003.tif"/>
</fig>
<p>Taken together, precipitation sizes can affect soil organic carbon quality and quantity and microbial r-/K-strategies. For example, a moderate precipitation size, not a decrease or robust increase, can stimulate the strongest CO<sub>2</sub> emission. The change of soil carbon resource is likely to regulate bacterial r-/K-strategies. Finally, soil respiration and CO<sub>2</sub> production can show different scenario in response to precipitation size. Thus, this work proposes precipitation size affects soil microorganisms through biotic and abiotic factors, ultimately leading to differences in soil respiration and CO<sub>2</sub> emissions.</p>
</sec>
</sec>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The 16S rRNA and ITS sequencing data have been deposited in the National Center for Biotechnology Information (NCBI) Short Read Archive database (SRA, https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1060787).</p>
</sec>
<sec sec-type="author-contributions" id="sec14">
<title>Author contributions</title>
<p>LZha: Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GH: Conceptualization, Data curation, Investigation, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LZho: Data curation, Investigation, Writing &#x2013; review &#x0026; editing. XL: Data curation, Investigation, Writing &#x2013; review &#x0026; editing. XW: Supervision, Writing &#x2013; review &#x0026; editing. XZ: Supervision, Writing &#x2013; review &#x0026; editing. LX: Conceptualization, Data curation, Investigation, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec15">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. LX was supported by Youth Innovation Promotion Association, CAS (2021213) and National Natural Science Foundation of China (42077025). GH received supports from National Natural Science Foundation of China (U2106209, 42071126). We are grateful for the support from the Yellow River Delta Ecological Research Station of Coastal Wetland, and the Chinese Academy of Sciences.</p>
</sec>
<sec sec-type="COI-statement" id="sec16">
<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="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec17">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2024.1328965/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2024.1328965/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn id="fn0001">
<p>
<sup>1</sup>
<ext-link xlink:href="http://hhm.cern.ac.cn/" ext-link-type="uri">http://hhm.cern.ac.cn/</ext-link>
</p>
</fn>
</fn-group>
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