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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1251938</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2023.1251938</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The succession of rhizosphere microbial community in the continuous cropping soil of tobacco</article-title>
<alt-title alt-title-type="left-running-head">Li 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.2023.1251938">10.3389/fenvs.2023.1251938</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Guitong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gong</surname>
<given-names>Pengfei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Penghui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Yunfeng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yuzhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1338899/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Xiaoqian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Jianming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/452096/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Zhaobao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/354652/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yun</surname>
<given-names>Long</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ren</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2361870/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Energy-Rich Compounds Production by Photosynthetic Carbon Fixation Research Center</institution>, <institution>Shandong Key Lab of Applied Mycology</institution>, <institution>College of Life Sciences</institution>, <institution>Qingdao Agricultural University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Yan&#x2019;an Tobacco (Group) Co., Ltd.</institution>, <addr-line>Yan&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The Jinxiang County Agriculture and Rural Bureau</institution>, <addr-line>Jining</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Tobacco Research Institute of Chinese Academy of Agricultural Sciences</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/123694/overview">Meihua Deng</ext-link>, Zhejiang Academy of Agricultural Sciences, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/566970/overview">Paul Daly</ext-link>, Jiangsu Academy of Agricultural Sciences (JAAS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1599128/overview">Paula P&#xe9;rez-Rodr&#xed;guez</ext-link>, University of Vigo, Spain</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/901860/overview">Yanning Zheng</ext-link>, Chinese Academy of Sciences (CAS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/269533/overview">Xingang Zhou</ext-link>, Northeast Agricultural University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Long Yun, <email>244838679@qq.com</email>; Jie Ren, <email>renjie@caas.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1251938</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Li, Gong, Zhou, Wang, Song, Ding, Jin, Zhang, Zhou, Yang, Wang, Yun and Ren.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Li, Gong, Zhou, Wang, Song, Ding, Jin, Zhang, Zhou, Yang, Wang, Yun and Ren</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>
<bold>Introduction:</bold> Flue-cured tobacco is an important economic crop that is not tolerant of continuous cropping and can be influenced by planting soil conditions including rhizosphere microbial communities and soil physicochemical properties. The relationship between rhizosphere microbial communities and soil physicochemical properties under continuous cropping conditions is unclear.</p>
<p>
<bold>Methods:</bold> This study investigated the succession of rhizosphere microbial community in continuous tobacco cropping soil for 1, 3, 5, 8, 10, 15, and 30&#xa0;years. The physicochemical properties of the soil were measured, high-throughput sequencing was performed on the rhizosphere microbial community, and correlation analysis was conducted.</p>
<p>
<bold>Results:</bold> The results suggested that continuous cropping could significantly enrich soil available nitrogen, available phosphorus, available potassium, and organic matter. Meanwhile, the alpha diversity of the bacterial community was significantly reduced with continuous cropping, indicating significant changes in the structure of bacterial and fungal communities. Based on linear discriminant analysis effect size (LEfSe), 173 bacterial and 75 fungal genera were identified with significant differences. The bacterial genera, <italic>Sphingomonas</italic>, <italic>Streptomyces</italic>, and <italic>Microvirga</italic>, were significantly positively correlated with continuous cropping years. The fungal genera, <italic>Tausonia</italic>, <italic>Solicocozyma</italic>, <italic>Pseudomycohila</italic>, and <italic>Fusarium</italic>, also showed significant positive correlation with continuous cropping years. Meanwhile, the fungal genera, <italic>Olpidium</italic>, <italic>Cephaliophora</italic>, and <italic>Cercophora</italic>, presented an opposite correlation. However, there are differences in the correlation between these bacterial and fungal genera related to continuous cropping years and other different soil physicochemical properties.</p>
<p>
<bold>Discussion:</bold> In summary, this work could provide a reference for soil management and scientific fertilization of tobacco under continuous cropping conditions.</p>
</abstract>
<kwd-group>
<kwd>tobacco</kwd>
<kwd>long-term continuous cropping</kwd>
<kwd>physicochemical properties</kwd>
<kwd>microbiota</kwd>
<kwd>correlation</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Soil Processes</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>As the main raw material of the tobacco industry, flue-cured tobacco has a long cultivation history all over the world, and its quality is very important in tobacco production (<xref ref-type="bibr" rid="B62">Ren et al., 2015</xref>). Continuous cropping refers to the cultivation method of repeatedly planting the same or similar crops in the same field, which is limited by the area of cultivated land and benefits from lower agricultural management costs compared to other cultivation methods, such as rotation, and is widely adopted in many places (<xref ref-type="bibr" rid="B67">Shipton, 1977</xref>; <xref ref-type="bibr" rid="B11">Chen et al., 2009</xref>). This long-term cropping pattern has inevitably resulted in great impacts on soil quality and field crop production. It usually leads to soil sickness, including deterioration of soil physicochemical properties, increase of pests and diseases, and accumulation of toxic substances. Moreover, long-term cropping can also increase the impact on the soil microbial community. All of these inevitably cause poor growth of crop plants, eventually resulting in yield and quality decline (<xref ref-type="bibr" rid="B25">Garbeva et al., 2004</xref>; <xref ref-type="bibr" rid="B69">Tan et al., 2021</xref>; <xref ref-type="bibr" rid="B22">Feng et al., 2022</xref>; <xref ref-type="bibr" rid="B85">Zhang et al., 2023</xref>). A recent study showed that the continuous cropping of sweet potato led to a 20%&#x2013;30% reduction in yield, as well as a lack of production or even serious plant death (<xref ref-type="bibr" rid="B24">Gao et al., 2019</xref>). Continuous potato cropping caused a decline in soil fertility and aggravated the toxic effects of root secretions (<xref ref-type="bibr" rid="B60">Qin et al., 2017</xref>). Continuous cropping of chili led to the enrichment of pathogenic microbes (<xref ref-type="bibr" rid="B14">Chen et al., 2021</xref>), while continuous cropping of tomatoes significantly reduced soil enzyme activity, microbial biomass, and microbial metabolic activity, leading to changes in microbial community composition and structure, which caused changes in microbial community composition and structure (<xref ref-type="bibr" rid="B23">Fu et al., 2017</xref>). To sum up, there are three main factors associated with continuous cropping: imbalance of soil nutrients, shifts in microbial community composition, and autotoxicity of root exudates (<xref ref-type="bibr" rid="B89">Zhu et al., 2018</xref>). Tobacco, a type of plant in the Solanaceae family, is particularly intolerant to continuous cropping (<xref ref-type="bibr" rid="B54">Niu et al., 2017</xref>). The continuous cropping of Yunnan flue-cured tobacco has led to changes in environmental and biological factors in the soil (<xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). However, due to limited arable land, insufficient human resources, and a lack of scientific and advanced planting concepts, a large portion of tobacco planting still adopts continuous cropping.</p>
<p>The rhizosphere, as the narrow zone of soil that surrounds plant roots, is the habitat of countless microorganisms, and it can interact with plant roots (<xref ref-type="bibr" rid="B58">Philippot et al., 2013</xref>). The relationship between plant roots and rhizosphere microorganisms is also mutual: metabolites secreted by plant roots provide a favorable environment for the growth and reproduction of microorganisms (<xref ref-type="bibr" rid="B20">Edwards et al., 2015</xref>), and in return, rhizosphere microorganisms have significant effects on root traits and plant nutrition, growth, and development (<xref ref-type="bibr" rid="B44">Li et al., 2017b</xref>). As has been well documented, plants, soils, and microorganisms use the rhizosphere as the primary area for signal communication and material and energy exchange (<xref ref-type="bibr" rid="B37">Levy et al., 2017</xref>). Therefore, the study of the rhizosphere microbial community will be beneficial in addressing the issue of soil sickness caused by the continuous cropping of tobacco.</p>
<p>Soil microorganisms are critical to many processes including organic matter turnover, mineral nutrition cycling, soil structure maintenance, and toxin degradation (<xref ref-type="bibr" rid="B8">Blagodatskaya and Kuzyakov, 2013</xref>). Therefore, the variation of the soil microbial community is essential to the sustainability of soil ecosystem functions. On one hand, in agricultural production, soil microbial structure is determined by various factors, including farmland soil type, cropping pattern, and crop variety (<xref ref-type="bibr" rid="B25">Garbeva et al., 2004</xref>). On the other hand, soil productivity and sustainability depend on complex physicochemical and biological characteristics (<xref ref-type="bibr" rid="B3">Avidano et al., 2005</xref>). Therefore, the diversity and abundance of soil microbials significantly affect the productivity and sustainability of agricultural soil and thereby affect crop growth and quality (<xref ref-type="bibr" rid="B53">Nayyar et al., 2009</xref>). However, the general patterns of classification and functional characteristics of rhizosphere and microbial communities have largely remained unexplored. Understanding and managing the functions of rhizosphere microorganisms is crucial for supporting plant growth in different environmental conditions.</p>
<p>Additionally, because of its rapid response to environmental changes, the characteristics of microbial communities have been proven to be effective bio-indicators of soil conditions and environmental change (<xref ref-type="bibr" rid="B78">Welbaum et al., 2004</xref>; <xref ref-type="bibr" rid="B12">Chen et al., 2014</xref>). Recent studies have shown that bacterial communities presented huge differences when responding to various treatments, including abrupt flooding (<xref ref-type="bibr" rid="B90">Zhu et al., 2020</xref>), varying tillage depth in soil (<xref ref-type="bibr" rid="B2">Anderson et al., 2017</xref>), and climate changes (<xref ref-type="bibr" rid="B17">Dacal et al., 2022</xref>). The rhizosphere microbial community can also reflect the land use history (<xref ref-type="bibr" rid="B41">Li et al., 2019</xref>). Therefore, active management of soil microbial communities to improve soil conditions may be a promising method to improve crop productivity (<xref ref-type="bibr" rid="B26">Glick, 2010</xref>). However, specific populations, and the characteristics and relationships between plants and soil microbial communities must be further studied and understood.</p>
<p>In this study, we collected rhizosphere soil samples from seven different tobacco planting sites in vigorous growing stage: a place that had just planted flue-cured tobacco for 1&#xa0;year (CC1Y), and places that had been continuously cropping flue-cured tobacco for 3 (CC3Y), 5 (CC5Y), 8 (CC8Y), 10 (CC10Y), 15 (CC15Y), and 30 (CC30Y) years, respectively. Soil physicochemical properties were analyzed, and high-throughput 16S rRNA and ITS rRNA gene sequencing was performed. The abundance, diversity, and composition of the microbial communities were analyzed. It was hypothesized that different continuous cropping treatments would lead to differences in soil physicochemical properties and recruit diverse soil microbial communities. There were two main objectives of this study: 1) to explore the effects of continuous tobacco cropping on soil microbial communities and physicochemical properties; and 2) to reveal the correlation between soil properties and soil microbial communities under continuous cropping systems.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Study site description and soil sampling</title>
<p>The rhizosphere soil samples were collected from Yan&#x2019;an city, Shanxi province, China (longitude 109&#xb0; 32&#x2032;E, latitude 36&#xb0;07&#x2032;N), at an altitude of 1,080&#xa0;m, where the average annual rainfall is between 500&#xa0;mm and the average yearly temperature is 8.1&#xb0;C with a frost-free period of about 130&#xa0;days. The soil type was basically cultivated loessial soil.</p>
<p>In this study, we selected seven different farmlands to gather our samples, including places that have been continuous cropped with tobacco for 3 (CC3Y), 5 (CC5Y), 8 (CC8Y), 10 (CC10Y), 15 (CC15Y), and 30 (CC30Y) years, as well as a place just cropped for 1 year (CC1Y). All treatments were with the same fertilizer and planting strategies, and all places have similar climatic conditions. Tobacco seedlings were cultivated in a greenhouse and then transplanted at the same time. The rhizosphere soil samples were collected on 15 May 2021, 1&#xa0;month after transplantation. For rhizosphere soil collection, the five-point sampling method was adopted. Tobacco plant roots were carefully excavated from the soil, and visible particles were removed by gently shaking. Then, the fresh roots of each tobacco plant were collected into plastic bags, and the soil attached to the roots was shaken off tightly into the bags, then mixed thoroughly in equal proportions and stored. A part of the soil was taken to determine physicochemical properties, and high-throughput 16S rRNA and ITS rRNA gene sequencing was performed on the other soil samples. Each sample was analyzed in triplicate.</p>
</sec>
<sec id="s2-2">
<title>2.2 Analysis of soil properties</title>
<p>We used a glass electrode digital pH meter (PB-10, Sartorius, German) to determine the pH in a sample by mixing 10-g air-drying soil in 25&#xa0;mL distilled water. Available potassium (AK) was extracted by ammonium acetate and measured by flame photometry (<xref ref-type="bibr" rid="B27">Hao et al., 2019</xref>). Soil organic matter (SOM) was determined using potassium dichromate oxidation-ammonium ferrous sulfate titration (<xref ref-type="bibr" rid="B42">Li et al., 2020b</xref>). Soil available nitrogen was measured using Automatic Kjeldahl Apparatus (FOSS), according to the Agricultural Industry Standards of the People&#x2019;s Republic of China (NY/T1121.6-2006, LY/T1229-1999, and HJ7042014).</p>
</sec>
<sec id="s2-3">
<title>2.3 DNA extraction, PCR amplification, and sequencing</title>
<p>Genomic DNA was extracted from fresh samples of 0.5&#xa0;g with the Fast DNA<sup>&#xae;</sup> SPIN Kit for Soil (MP Biomedicals, Santa Ana, CA). The V3-V4 region of bacterial 16S rRNA was amplified together with specific Illumina adapter and barcode sequences primer pair 338F (5&#x2032;-ACT&#x200b;CCT&#x200b;ACG&#x200b;GGA&#x200b;GGC&#x200b;AGC&#x200b;AG-3&#x2032;) and 806R (5&#x2032;-GGA CTACHVGGGTWTCTAAT-3&#x2032;). ITS1F (5&#x2032;-CTTGGTCATTTAGAG GAAGTAA-3&#x2032;) and ITS2 (5&#x2032;-GCT&#x200b;GCG&#x200b;TTC&#x200b;TTC&#x200b;ATC&#x200b;GAT&#x200b;GC-3&#x2032;) were selected to target the fungal ITS1 region. PCR was conducted in 20&#xa0;&#x3bc;L mixtures containing 1.0&#xa0;&#x3bc;L (&#x223c;10&#xa0;ng DNA) template, 4&#xa0;&#x3bc;L 5 &#xd7; FastPfu Buffer, 2&#xa0;&#x3bc;L of forward/reverse primers, 0.4&#xa0;&#x3bc;L FastPfu Polymerase, and 0.2&#xa0;&#x3bc;L BSA, and dNase-rNase-Free deionized water was added to adjust the volume. The PCR procedure consisted of 95&#xb0;C denaturing for 3&#xa0;min; followed by 30 cycles of 95&#xb0;C for 30&#xa0;s, 54&#xb0;C for 30&#xa0;s, 72&#xb0;C for 45&#xa0;s, and a final step of 72&#xb0;C extensions for 10&#xa0;min. PCR product was purified and quantified with AxyPrep DNA Gel Extraction Kit (Axygen Biosciences, Union City, CA), and the PCR product-constructed library sequencing was performed on the Illumina NovaSeq PE250 platform (Majorbio Technology Co., Ltd, Shang Hai, China). The raw data we obtained were in FASTQ format and had already cutoff adapter sequences. The raw data were submitted to the NCBI Sequence Read Archive (SRA) database under project number PRJNA982702.</p>
</sec>
<sec id="s2-4">
<title>2.4 Bioinformatics, data analysis, and statistical analysis</title>
<p>After removing the adaptors and primer sequences, raw sequences were assembled for each sample according to the unique barcode using QIIME 1.9.1 (<xref ref-type="bibr" rid="B10">Caporaso et al., 2010</xref>). Flash 1.2.11 was used to merge the split sequences of each sample (<xref ref-type="bibr" rid="B48">Mago&#x10d; and Salzberg, 2011</xref>). The valid labels of all samples were clustered using Uparse 11 (<xref ref-type="bibr" rid="B19">Edgar, 2013</xref>). Valuable sequences were divided into operational taxonomic units (OTUs) using USEARCH 11, with a 97% identity threshold as the cut-off point. For species annotation, representative bacterial sequences were matched against the SILVA 138 database (<xref ref-type="bibr" rid="B61">Quast et al., 2012</xref>), and the fungal representative sequences were classified using the UNITE 8.0 database (<xref ref-type="bibr" rid="B36">K&#xf5;ljalg et al., 2013</xref>). Mothur 1.30.2 was used to analyze the alpha diversity. R language was used for redundancy analysis (RDA), principal coordinate analysis (pCoA), and unweighted paired group algorithm clustering. The unweighted-UniFrac index was used as the distance measure. The Functional Annotation of Prokaryotic Taxa database (FAPROTAX) was used to predict bacterial functional groups. BugBase (<ext-link ext-link-type="uri" xlink:href="https://bugbase.cs.umn.edu/index.html/">https://bugbase.cs.umn.edu/index.html/</ext-link>) database was used to perform phenotype prediction. All experimental data were analyzed using IBM SPSS 26.0 and Microsoft Excel 2019. Statistical significance was set at <italic>p</italic> &#x3c; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Effects of long-term continuous cropping on soil physicochemical properties</title>
<p>The physicochemical properties of tobacco rhizosphere soil varied greatly among the samples (<xref ref-type="table" rid="T1">Table 1</xref>). Results indicated that continuous cropping led to the accumulation of some soil nutrients, including available nitrogen (AN), available phosphorus (AP), available potassium (AK), and soil organic matter (SOM). The AN content in this study was between 21.80&#xa0;mg/kg and 50.88&#xa0;mg/kg, and compared to previous similar studies (24.20&#xa0;mg/kg&#x2013;97.30&#xa0;mg/kg) is at a moderate level. The AK content was between 186.90&#xa0;mg/kg and 312.12&#xa0;mg/kg, and compared to previous studies (81.00&#xa0;mg/kg&#x2013;682.35&#xa0;mg/kg) is at a moderate to high level. The AP content was relatively low compared to previous studies (10.30&#xa0;mg/kg&#x2013;93.90&#xa0;mg/kg), with only 4.46&#xa0;mg/kg to 15.58&#xa0;mg/kg. The AP content was also relatively low compared to previous studies (15.61&#xa0;mg/kg&#x2013;98.10&#xa0;mg/kg), with only 5.05&#xa0;mg/kg to 15.12&#xa0;mg/kg (<xref ref-type="bibr" rid="B75">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Wang et al., 2022b</xref>; <xref ref-type="bibr" rid="B74">Wang et al., 2022c</xref>). The corresponding properties of the control sample CC1Y were basically at the lowest level. The available nitrogen content of CC1Y and CC5Y were significantly lower than that of other samples. CC1Y presented the lowest available phosphorus, available potassium, and soil organic matter contents among all samples. CC8Y had a high content of AN, AP, and SOM. The AP, AK, and SOM contents of samples with longer continuous cropping years, such as CC15Y and CC30Y, were at the middle level. Meanwhile, there were no significant differences observed in pH values of the soil samples. These results indicate that continuous cropping could result in soil nutrient accumulation to some extent.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The soil physicochemical properties of the sample groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Samples</th>
<th align="center">pH</th>
<th align="center">AN (mg/kg)</th>
<th align="center">AP (mg/kg)</th>
<th align="center">AK (mg/kg)</th>
<th align="center">SOM (g/kg)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">CC1Y</td>
<td align="center">8.16 &#xb1; 0.14<sup>a</sup>
</td>
<td align="center">21.85 &#xb1; 0.45<sup>b</sup>
</td>
<td align="center">4.46 &#xb1; 0.14<sup>e</sup>
</td>
<td align="center">186.90 &#xb1; 12.55<sup>d</sup>
</td>
<td align="center">5.05 &#xb1; 0.25<sup>e</sup>
</td>
</tr>
<tr>
<td align="center">CC3Y</td>
<td align="center">8.22 &#xb1; 0.32<sup>a</sup>
</td>
<td align="center">42.19 &#xb1; 1.48<sup>a</sup>
</td>
<td align="center">7.58 &#xb1; 0.13<sup>d</sup>
</td>
<td align="center">267.01 &#xb1; 17.78<sup>b</sup>
</td>
<td align="center">9.20 &#xb1; 0.19<sup>d</sup>
</td>
</tr>
<tr>
<td align="center">CC5Y</td>
<td align="center">8.08 &#xb1; 0.15<sup>a</sup>
</td>
<td align="center">21.80 &#xb1; 0.74<sup>b</sup>
</td>
<td align="center">15.58 &#xb1; 2.17<sup>a</sup>
</td>
<td align="center">274.61 &#xb1; 2.61<sup>b</sup>
</td>
<td align="center">10.24 &#xb1; 0.82<sup>d</sup>
</td>
</tr>
<tr>
<td align="center">CC8Y</td>
<td align="center">8.08 &#xb1; 0.20<sup>a</sup>
</td>
<td align="center">50.88 &#xb1; 1.11<sup>a</sup>
</td>
<td align="center">7.57 &#xb1; 0.19<sup>d</sup>
</td>
<td align="center">312.12 &#xb1; 10.64<sup>a</sup>
</td>
<td align="center">15.12 &#xb1; 0.78<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC10Y</td>
<td align="center">8.14 &#xb1; 0.12<sup>a</sup>
</td>
<td align="center">49.66 &#xb1; 14.32<sup>a</sup>
</td>
<td align="center">8.14 &#xb1; 0.38<sup>c,d</sup>
</td>
<td align="center">263.22 &#xb1; 6.49<sup>b</sup>
</td>
<td align="center">10.83 &#xb1; 0.13<sup>c</sup>
</td>
</tr>
<tr>
<td align="center">CC15Y</td>
<td align="center">8.19 &#xb1; 0.15<sup>a</sup>
</td>
<td align="center">42.74 &#xb1; 2.10<sup>a</sup>
</td>
<td align="center">12.97 &#xb1; 0.11<sup>b</sup>
</td>
<td align="center">241.65 &#xb1; 17.20<sup>b,c</sup>
</td>
<td align="center">13.18 &#xb1; 0.41<sup>b</sup>
</td>
</tr>
<tr>
<td align="center">CC30Y</td>
<td align="center">7.98 &#xb1; 0.27<sup>a</sup>
</td>
<td align="center">50.72 &#xb1; 1.39<sup>a</sup>
</td>
<td align="center">10.18 &#xb1; 0.25<sup>c</sup>
</td>
<td align="center">225.95 &#xb1; 12.31<sup>c</sup>
</td>
<td align="center">13.38 &#xb1; 0.18<sup>b</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Different lowercase letters in the same growth period column indicate significant differences between different continuous cropping treatments (<italic>p</italic> &#x3c; 0.05). C1Y: soil from fallow land. CC3, CC5, CC8, CC10, CC15, and CC30: soil from continuous tobacco replanting for 3, 5, 8, 10, 15 and 30 years, respectively. AN, available nitrogen in soil; pH, pH in soil. SOM, soil organic matter; AP, available phosphorus in soil; AK, available potassium in soil.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Effects of continuous cropping on soil microbial diversity</title>
<p>In our study, 946,516 high-quality clean tags from all bacterial samples and 1,027,944 high-quality clean tags from all fungal samples were collected after pair-end reads alignment and filtering. These were classified using a 97% sequence similarity criterion, and 4,648 operational taxonomic units (OTUs) were obtained in bacterial samples, and 1736 OTUs were obtained in fungal samples. Rarefaction curves tend to be flat in both kinds of samples (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>), indicating that the amount of sequencing data was sufficient to reflect the majority of bacterial and fungal diversity information and that the amounts of OTUs reached saturation for all the samples (<xref ref-type="bibr" rid="B76">Wang et al., 2019</xref>). Significant differences in alpha diversity among the seven samples were presented. The coverage index of all the samples were high and showed little difference, indicating that the sequencing results reflect the real situation of the bacterial community in the samples. The bacterial abundance of CC15Y and CC30Y was significantly lower than that of other samples (<xref ref-type="table" rid="T2">Table 2</xref>), indicated by the lower OTUs number (2,814 &#xb1; 128 and 2,627 &#xb1; 153) and Chao index (3,841 &#xb1; 196 and 3,842 &#xb1; 156). Interestingly, CC3Y and CC5Y samples showed significantly better species richness and diversity, where OTUs number and Chao index were 3,310 &#xb1; 252/3,119 &#xb1; 265 and 4,304 &#xb1; 79/4,462 &#xb1; 281, respectively. Meanwhile, the Ace index of CC3Y, CC5Y, and CC8Y were clearly higher than those of other samples. The OTUs number and Chao index of CC1Y sample were 2,840 &#xb1; 26 and 3,985 &#xb1; 141, respectively, implying a low level of bacterial abundance. Additionally, the fungal abundance of CC8Y was significantly higher than that of other samples, and that of CC5Y was significantly low, with no significant differences in other samples (<xref ref-type="table" rid="T3">Table 3</xref>). Taken together, these results demonstrate that long-term continuous cropping could significantly disturb the soil bacterial communities, but short-term continuous cropping might actually have a certain promoting effect on microbial community optimization. However, long-term continuous cropping did not indicate significant disturbances to soil fungal diversity.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Alpha diversity index of bacteria of the sample groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Sample</th>
<th align="center">OTUs</th>
<th align="center">Shannon</th>
<th align="center">Simpson</th>
<th align="center">Ace</th>
<th align="center">Chao</th>
<th align="center">Coverage</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">CC1Y</td>
<td align="center">2,840 &#xb1; 26<sup>b,c</sup>
</td>
<td align="center">6.50 &#xb1; 0.11<sup>bc</sup>
</td>
<td align="center">0.0066 &#xb1; 0.0020<sup>b</sup>
</td>
<td align="center">4,021 &#xb1; 152<sup>b</sup>
</td>
<td align="center">3,985 &#xb1; 141<sup>c,d</sup>
</td>
<td align="center">0.9495 &#xb1; 0.0021<sup>a,b</sup>
</td>
</tr>
<tr>
<td align="center">CC3Y</td>
<td align="center">3,310 &#xb1; 252<sup>a</sup>
</td>
<td align="center">6.77 &#xb1; 0.07<sup>a</sup>
</td>
<td align="center">0.0039 &#xb1; 0.0005<sup>b</sup>
</td>
<td align="center">4,880 &#xb1; 323<sup>a,b</sup>
</td>
<td align="center">4,304 &#xb1; 79<sup>a,b,c</sup>
</td>
<td align="center">0.9451 &#xb1; 0.0014<sup>b,c</sup>
</td>
</tr>
<tr>
<td align="center">CC5Y</td>
<td align="center">3,119 &#xb1; 265<sup>a,b</sup>
</td>
<td align="center">6.65 &#xb1; 0.09<sup>a,b</sup>
</td>
<td align="center">0.0058 &#xb1; 0.0008<sup>b</sup>
</td>
<td align="center">5,001 &#xb1; 715<sup>a</sup>
</td>
<td align="center">4,462 &#xb1; 281<sup>a</sup>
</td>
<td align="center">0.9438 &#xb1; 0.0040<sup>c</sup>
</td>
</tr>
<tr>
<td align="center">CC8Y</td>
<td align="center">3,088 &#xb1; 95<sup>a,b</sup>
</td>
<td align="center">6.66 &#xb1; 0.01<sup>a,b</sup>
</td>
<td align="center">0.0051 &#xb1; 0.0002<sup>b</sup>
</td>
<td align="center">4,841 &#xb1; 615<sup>a,b</sup>
</td>
<td align="center">4,369 &#xb1; 222<sup>a,b</sup>
</td>
<td align="center">0.9459 &#xb1; 0.0022<sup>b,c</sup>
</td>
</tr>
<tr>
<td align="center">CC10Y</td>
<td align="center">2,785 &#xb1; 96<sup>b,c</sup>
</td>
<td align="center">6.60 &#xb1; 0.06<sup>b,c</sup>
</td>
<td align="center">0.0047 &#xb1; 0.0005<sup>b</sup>
</td>
<td align="center">4,763 &#xb1; 192<sup>a,b</sup>
</td>
<td align="center">4,038 &#xb1; 78<sup>b,c,d</sup>
</td>
<td align="center">0.9495 &#xb1; 0.0019<sup>a,b</sup>
</td>
</tr>
<tr>
<td align="center">CC15Y</td>
<td align="center">2,814 &#xb1; 128<sup>b,c</sup>
</td>
<td align="center">6.32 &#xb1; 0.11<sup>d</sup>
</td>
<td align="center">0.0145 &#xb1; 0.0079<sup>a</sup>
</td>
<td align="center">4,105 &#xb1; 565<sup>a,b</sup>
</td>
<td align="center">3,842 &#xb1; 196<sup>d</sup>
</td>
<td align="center">0.9516 &#xb1; 0.0029<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC30Y</td>
<td align="center">2,627 &#xb1; 153<sup>c</sup>
</td>
<td align="center">6.45 &#xb1; 0.07<sup>c,d</sup>
</td>
<td align="center">0.0067 &#xb1; 0.0010<sup>b</sup>
</td>
<td align="center">4,018 &#xb1; 171<sup>b</sup>
</td>
<td align="center">3,842 &#xb1; 156<sup>d</sup>
</td>
<td align="center">0.9523 &#xb1; 0.0026<sup>a</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Different lowercase letters in the same growth period column indicate significant differences between different continuous cropping treatments (<italic>p</italic> &#x3c; 0.05). CC1Y: soil from fallow land. CC3Y, CC5Y, CC8Y, CC10Y, CC15Y, and CC30Y: soil from continuous tobacco replanting for 3, 5, 8, 10, 15, and 30 years, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Alpha diversity index of fungi of the sample groups.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Sample</th>
<th align="center">OTUs</th>
<th align="center">Shannon</th>
<th align="center">Simpson</th>
<th align="center">Ace</th>
<th align="center">Chao</th>
<th align="center">Coverage</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">CC1Y</td>
<td align="center">440 &#xb1; 18<sup>a,b</sup>
</td>
<td align="center">3.94 &#xb1; 0.28<sup>a</sup>
</td>
<td align="center">0.06 &#xb1; 0.02<sup>b</sup>
</td>
<td align="center">485 &#xb1; 71b<sup>c</sup>
</td>
<td align="center">492 &#xb1; 46<sup>b</sup>
</td>
<td align="center">0.9976 &#xb1; 0.0009<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC3Y</td>
<td align="center">375 &#xb1; 16<sup>b,c</sup>
</td>
<td align="center">3.51 &#xb1; 0.13<sup>a</sup>
</td>
<td align="center">0.08 &#xb1; 0.02<sup>b</sup>
</td>
<td align="center">440 &#xb1; 45<sup>bc</sup>
</td>
<td align="center">451 &#xb1; 54<sup>a,b</sup>
</td>
<td align="center">0.9976 &#xb1; 0.0008<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC5Y</td>
<td align="center">279 &#xb1; 53<sup>c</sup>
</td>
<td align="center">2.55 &#xb1; 0.72<sup>b</sup>
</td>
<td align="center">0.27 &#xb1; 0.17<sup>a</sup>
</td>
<td align="center">383 &#xb1; 105<sup>c</sup>
</td>
<td align="center">368 &#xb1; 69<sup>c</sup>
</td>
<td align="center">0.9976 &#xb1; 0.0008<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC8Y</td>
<td align="center">525 &#xb1; 74<sup>a</sup>
</td>
<td align="center">3.86 &#xb1; 0.18<sup>a</sup>
</td>
<td align="center">0.04 &#xb1; 0.01<sup>b</sup>
</td>
<td align="center">638 &#xb1; 24<sup>a</sup>
</td>
<td align="center">639 &#xb1; 11<sup>a</sup>
</td>
<td align="center">0.9954 &#xb1; 0.0000<sup>b</sup>
</td>
</tr>
<tr>
<td align="center">CC10Y</td>
<td align="center">354 &#xb1; 28<sup>b,c</sup>
</td>
<td align="center">3.39 &#xb1; 0.29<sup>a</sup>
</td>
<td align="center">0.08 &#xb1; 0.03<sup>b</sup>
</td>
<td align="center">421 &#xb1; 31<sup>b,c</sup>
</td>
<td align="center">424 &#xb1; 30<sup>b,c</sup>
</td>
<td align="center">0.9974 &#xb1; 0.0007<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">CC15Y</td>
<td align="center">404 &#xb1; 35<sup>b,c</sup>
</td>
<td align="center">3.61 &#xb1; 0.24<sup>a</sup>
</td>
<td align="center">0.07 &#xb1; 0.03<sup>b</sup>
</td>
<td align="center">517 &#xb1; 49<sup>b</sup>
</td>
<td align="center">502 &#xb1; 38<sup>b</sup>
</td>
<td align="center">0.9966 &#xb1; 0.0005<sup>a,b</sup>
</td>
</tr>
<tr>
<td align="center">CC30Y</td>
<td align="center">373 &#xb1; 69<sup>b,c</sup>
</td>
<td align="center">3.72 &#xb1; 0.31<sup>a</sup>
</td>
<td align="center">0.06 &#xb1; 0.03<sup>b</sup>
</td>
<td align="center">478 &#xb1; 93<sup>b,c</sup>
</td>
<td align="center">492 &#xb1; 97<sup>b</sup>
</td>
<td align="center">0.9969 &#xb1; 0.0009<sup>a</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Different lowercase letters in the same growth period column indicate significant differences between different continuous cropping treatments (<italic>p</italic> &#x3c; 0.05). CC1Y: soil from fallow land. CC3Y, CC5Y, CC8Y, CC10Y, CC15Y, and CC30Y: soil from continuous tobacco replanting for 3, 5, 8, 10, 15, and 30 years, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Effects of continuous cropping on soil microbial community structure</title>
<p>The significant differences in microbial structural composition at the phylum level between different continuous soil samples are shown in <xref ref-type="fig" rid="F1">Figures 1A, B</xref>. In all the samples, the dominant bacterial phyla did not change, and the first four types of dominant phyla were Actinobacteria, Proteobacteria, Acidobacteriota, and Chloroflexi. Moreover, the results indicated that the proportion of bacterial phyla was different, especially the four phyla of Chloroflexi, Firmicutes, Myxococcota, and Patescibacteria (<xref ref-type="fig" rid="F1">Figure 1C</xref>). The proportion of Chloroflexi in CC1Y was 17.38% &#xb1; 2.86%, while it decreased to 13.60% &#xb1; 1.03%, 14.77% &#xb1; 0.85%, 14.57% &#xb1; 0.57%, 14.24% &#xb1; 1.30%, 12.57% &#xb1; 1.14%, and 12.50% &#xb1; 1.42%, respectively, along with the continuous cropping years. However, compared to previous studies, it was still at a higher level (<xref ref-type="bibr" rid="B72">Wang et al., 2022a</xref>; <xref ref-type="bibr" rid="B74">Wang et al., 2022c</xref>; <xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). The significance test of inter group differences indicated that Chloroflexi, Firmicutes, Myxococcota, and Patescibacteria had significant differences between different samples (<xref ref-type="sec" rid="s11">Supplementary Figure S2A</xref>). Considering that continuous cropping does not significantly affect the dominant phylum of bacterial communities, it may be more effective to focus on phylum with significant differences, even if they are not dominant. Compared with the CC1Y group, the abundance of Patescibacteria bacteria in the multi-year continuous cropping tobacco soil decreased, which accounted for 1.07% &#xb1; 0.15% in CC1Y, at least double of the proportion in the other samples. Inversely, it was found that the abundances of Firmicutes and Myxococcota bacteria increased with the continuous cropping years. All these results suggested that continuous tobacco cultivation indeed interfered with the structure of the soil bacterial community.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Microbiology community structure in the analysis of soil samples. <bold>(A)</bold> Rhizosphere bacteria sample grouping analysis in phylum level, <bold>(B)</bold> rhizosphere fungal sample grouping analysis in phylum level, <bold>(C)</bold> rhizosphere bacteria community structure in phylum level, <bold>(D)</bold> rhizosphere fungal community structure in phylum level.</p>
</caption>
<graphic xlink:href="fenvs-11-1251938-g001.tif"/>
</fig>
<p>The first three dominant fungal phyla were Ascomycota, Basidiomycota and Mortierellomycota (<xref ref-type="fig" rid="F1">Figure 1D</xref>). In CC1Y samples, Ascomycota emerged as the predominant phylum, constituting 49.47% &#xb1; 10.12% of the total, indicating a moderate level. This contrasts with findings from previous studies (<xref ref-type="bibr" rid="B73">Wang et al., 2022b</xref>; <xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). On the other hand, Basidiomycota only accounted for 4.26% &#xb1; 1.59%, much lower than that of previous studies (<xref ref-type="bibr" rid="B73">Wang et al., 2022b</xref>; <xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). In continuous cropping samples, the abundance of Ascomycota was lower than that of CC1Y (21.05% &#xb1; 10.80%&#x223c;41.41% &#xb1; 10.61%), while the abundance of Basidiomycota was higher than that of CC1Y (17.42% &#xb1; 6.61%&#x223c;56.53% &#xb1; 22.06%), higher than in previous studies (<xref ref-type="bibr" rid="B73">Wang et al., 2022b</xref>; <xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). There were significant differences in the abundance of Mortierellomycota, Basidiomycota, unclassified_k__Fungi, and Glomeromycota in different fungal samples (<xref ref-type="sec" rid="s11">Supplementary Figure S2B</xref>). This suggested that the continuous tobacco cultivation disturbed the fungal species abundance.</p>
<p>Moreover, PCoA analysis was performed at the family level (<xref ref-type="fig" rid="F2">Figures 2A, B</xref>). For bacterial communities, PCoA analysis (PERMANOVA, R<sup>2</sup> &#x3d; 0.5528, <italic>p</italic> &#x3d; 0.001) showed that there was a significant separation between CC1Y and continuous cropping samples. Of the differences at the family level, 31.45% could be explained by the PC1 axis, and 22.27% could be explained by the PC2 axis, indicating that continuous cropping caused significant changes in bacterial community structure (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Similarly, there was also significant separation between all samples of the fungal communities (<xref ref-type="fig" rid="F2">Figure 2B</xref>). Of the differences at the family level, 39.58% could be explained by the PC1 axis, and 14.42% could be explained by the PC2 axis, and the differences were significant (R<sup>2</sup> &#x3d; 0.7128, <italic>p</italic> &#x3d; 0.001).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Microbiology community diversity in the analysis of soil samples. <bold>(A)</bold> Rhizosphere bacteria community principal co-ordinate analysis in family level (PERMANOVA, R<sup>2</sup> &#x3d; 0.5528, <italic>p</italic> &#x3d; 0.001), <bold>(B)</bold> rhizosphere fungal community principal co-ordinate analysis in family level (PERMANOVA, R<sup>2</sup> &#x3d; 0.7128, <italic>p</italic> &#x3d; 0.001).</p>
</caption>
<graphic xlink:href="fenvs-11-1251938-g002.tif"/>
</fig>
<p>In order to identify microbial communities with distinct characteristics in variable environments that are most responsive to continuous cropping, LEfSe analysis was conducted (<xref ref-type="fig" rid="F3">Figures 3A, B</xref>). Among them, 173 taxa were identified at the genus level in the bacterial community (LDA value &#x3e; 2, <italic>p</italic> value &#x3c; 0.05), of which 41 were significantly enriched in the CC1Y samples. Meanwhile, 38, 11, 25, 13, 14, and 31 genera were significantly enriched in CC3Y, CC5Y, CC8Y, CC10Y, CC15Y, and CC30Y, respectively (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>). At the genus level, 75 taxa were identified in the fungal community (LDA value &#x3e; 2, <italic>p</italic> value &#x3c; 0.05), of which 24 were significantly enriched in the CC1Y samples. Additionally, 13, 2, 6, 6, 2, and 10 genera were significantly enriched in the continuous cropping samples (<xref ref-type="sec" rid="s11">Supplementary Table S3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Microbiology community linear discriminant in the analysis of effect size (LEfSe) in soil samples. <bold>(A)</bold> Rhizosphere bacteria community LEfSe (LDA &#x3d; 2), <bold>(B)</bold> rhizosphere fungal community LEfSe (LDA &#x3d; 2).</p>
</caption>
<graphic xlink:href="fenvs-11-1251938-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Association of microbial communities with soil physicochemical properties</title>
<p>To elaborate the influence of physicochemical properties on the microbial community of tobacco soil, correlation analysis between the two aspects was conducted (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>). The results of RDA analysis demonstrated that the bacterial communities of CC15Y and CC30Y were more regulated by AN, AP, SOM, and continuous cropping years. pH was more moderated to the bacterial communities of CC3Y, CC5Y, and CC8Y. In addition, RDA1 and RDA2 explained a bacterial community variation of 25.33% and 12.06%, respectively (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Meanwhile, the fungal communities of CC1Y and CC3Y were more regulated by pH. That of CC15Y was more regulated by continuous cropping year, SOM, and AP. Meanwhile, the fungal communities of CC5Y were regulated by SOM and AP. RDA1 explained a fungal community variation of 52.96%, and RDA2 explained 9.22% (<xref ref-type="fig" rid="F4">Figure 4B</xref>). To further clarify the effects of continuous cropping on the soil microbial communities, a regression analysis was carried out. With the increase of continuous cropping years, the Sobs index, which represents the number of observable OTUs, showed a significant downward trend (<italic>p</italic> &#x003D; 0.0047) in bacterial samples (<xref ref-type="fig" rid="F4">Figure 4C</xref>), but no significant differences were observed in fungal samples (<xref ref-type="fig" rid="F4">Figure 4D</xref>). Considering the influence shown by the abundance of different species, the top 20 phyla were analyzed in association with physicochemical properties. It was clear that different phyla exhibited significant correlations with physicochemical properties. Proteobacteria phylum showed a significant positive correlation with available nitrogen solution, while Bacteroidota indicated a negative correlation with pH. Entotheonellaeota appeared significantly positively correlated with several factors, including continuous cropping years, SOM, and AP. However, Firmicutes only showed positive correlation with continuous cropping year, and Bdellovibrionota only showed positive correlation with AP. Moreover, Gemmatimonadota was significantly negatively correlated with AN and AK. Chloroflexi and Desulfobacterota were negatively correlated with continuous cropping year, SOM, and AP (<xref ref-type="fig" rid="F5">Figure 5A</xref>). All these results suggested that continuous cropping is one important factor affecting the abundance of bacterial species. At the phylum level of fungal communities, among the top 10 dominant phyla, only Basidiomycota showed a significant positive correlation with continuous cropping year. Five phyla showed a significant negative correlation with continuous cropping year, including Ascomycota, Olpidiomycota, Rozellomycota, Chytridiomycota, and unclassified_ K_ Fungi (<xref ref-type="fig" rid="F5">Figure 5B</xref>). There was a significant negative correlation between Basidiomycota and AP, while Ascomycota, Olpidiomycota, Rozellomycota, and Chytridiomycota were significantly positively correlated with AP. Ascomycota was highly significantly positively correlated with AN and SOM. Olpidiomycota was significantly positively correlated with pH. Among the phyla that were not significantly correlated with continuous cropping year, Mortierellomycota showed a highly significant negative correlation with AP, AN, and SOM. Glomeromycota showed a highly significant positive correlation with pH, AN, and SOM. Zoopagomycota showed a highly significant positive correlation with AK and AP. Moreover, there is a significant positive correlation between Aphelidiomycota and AK.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Correlation analysis of environmental factors with rhizosphere microbial diversity. <bold>(A)</bold> Redundancy analysis (RDA) of nutrient content (AN, pH, AK, AP, SOM), continuous cropping years, and rhizosphere bacteria (length &#x3d; level), <bold>(B)</bold> redundancy analysis of nutrient content (AN, pH, AK, AP, SOM), continuous cropping years, and rhizosphere fungi (length &#x3d; level), <bold>(C)</bold> linear regression of rhizosphere bacteria Sobs index and continuous cropping years, <bold>(D)</bold> linear regression of rhizosphere fungal Sobs index and continuous cropping years.</p>
</caption>
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</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Correlation analysis of microbial community structure and environmental factors in continuous cropping tobacco-growing soil. <bold>(A)</bold> Heatmap of correlation analysis between rhizosphere bacteria and plant nutrient content (AN, pH, AK, AP, SOM) and continuous cropping years in phylum level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001), <bold>(B)</bold> heatmap of correlation analysis between rhizosphere fungi and plant nutrient content (AN, pH, AK, AP, SOM), and continuous cropping years in phylum level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001).</p>
</caption>
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</fig>
<p>To determine the impact of microbial community differences between samples from different continuous cropping years, specific species screened through LEfSe analysis were combined to create an OTU set. The total OTU count of bacterial samples decreased from 9,894 to 4,399, and that of fungal samples decreased from 3,690 to 1,521 (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). The significance analysis of inter group differences demonstrated that among the top 15 dominant bacterial genera, the genera that can be identified and have significant differences are <italic>Sphingomonas</italic>, <italic>Nocardioides</italic>, <italic>Streptomyces</italic>, <italic>Bacillus</italic>, <italic>Marmoricola</italic>, and <italic>Microvirga</italic> (<xref ref-type="fig" rid="F6">Figure 6A</xref>). Among the top 15 dominant fungal genera, the ones that can be identified and have significant differences are <italic>Tausonia</italic>, <italic>Solicoccozyma</italic>, <italic>Chaetomium</italic>, <italic>Pseudombrophila</italic>, <italic>Schizothecium</italic>, <italic>Fusarium</italic>, <italic>Paracylindrocarpon</italic>, and <italic>Cephaliophora</italic> (<xref ref-type="fig" rid="F6">Figure 6B</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Analysis of genera differences in rhizosphere microbial diversity. <bold>(A)</bold> Significance test for inter group differences of rhizosphere bacteria community at the genus level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001), <bold>(B)</bold> significance test for inter group differences of rhizosphere fungal community at the genus level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001).</p>
</caption>
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</fig>
<p>Environmental factor correlation analysis presented three genera in bacterial community showing a significant positive correlation with continuous cropping year (<xref ref-type="fig" rid="F7">Figure 7A</xref>)&#x2014;<italic>Sphingomonas</italic>, <italic>Streptomyces</italic>, and <italic>Microvirga.</italic> These three genera were all significantly positively correlated with SOM. <italic>Sphingomonas</italic> was significantly positively correlated with AN, and significantly negatively correlated with pH. <italic>Streptomyces</italic> was significantly positively correlated with AP. Among the bacterial genera that were not significantly correlated with continuous cropping year, <italic>Lysobacter</italic> showed significant positive correlation with AN and significant negative correlation with AP. <italic>Blastococcus</italic> showed significant positive correlation with AP. <italic>Bryobacter</italic> showed a significant negative correlation with pH. Four out of the top 20 dominant genera in the fungal community, namely, <italic>Tausonia</italic>, <italic>Solicocozyma</italic>, <italic>Pseudomycohila</italic>, and <italic>Fusarium</italic>, showed a significant positive correlation with continuous cropping year (<xref ref-type="fig" rid="F7">Figure 7B</xref>). Five genera, namely, <italic>Olpidium</italic>, <italic>Cephaliophora</italic>, <italic>Cercophora</italic>, <italic>Unclassified_O_Sordariales</italic>, and <italic>unclassified_ K_ Fungi</italic>, showed a significant negative correlation with continuous cropping year. Among them, <italic>Tausonia</italic> was significantly negatively correlated with AP. <italic>Solicocozyma</italic> was significantly negatively correlated with AP and AN. <italic>Fusarium</italic> was significantly positively correlated with SOM. <italic>Olpidium</italic> was significantly positively correlated with pH and AP. Among the fungal genera that were not significantly correlated with continuous cropping year, <italic>Mortierella</italic> showed a highly significant negative correlation with AN, AP, and SOM. <italic>Schizotocium</italic> showed a highly significant positive correlation with SOM, AP, and AK. <italic>Plectosphaerella</italic> showed a highly significant positive correlation with AN and SOM, and showed a significant positive correlation with pH and AP. <italic>Alternaria</italic> showed a significant positive correlation with AP and AN. <italic>Gibberella</italic> was significantly positively correlated with SOM.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Correlation analysis of microbial community structure and environmental factors in continuous cropping tobacco-growing soil. <bold>(A)</bold> Heatmap of correlation analysis between rhizosphere bacteria and plant nutrient content (AN, pH, AK, AP, SOM) and continuous cropping years in genus level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001), <bold>(B)</bold> heatmap of correlation analysis between rhizosphere fungi and plant nutrient content (AN, pH, AK, AP, SOM), and continuous cropping years in genus level (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001).</p>
</caption>
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</fig>
</sec>
<sec id="s3-5">
<title>3.5 Effects of continuous cropping on bacterial community function</title>
<p>To further explore the effects of long-term continuous cropping on rhizosphere bacterial community function in tobacco soil, the FAPROTAX database was used (<xref ref-type="sec" rid="s11">Supplementary Figure S3</xref>). According to the results, chemoheterotrophy, aerobic chemoheterotrophy, and ureolysis functions of long-term continuous cropping rhizosphere bacterial communities were significant increased (<xref ref-type="fig" rid="F8">Figure 8A</xref>). The functions of aromatic compound degradation, photoautotrophy, nitrogen respiration, nitrate respiration, and oxygenic photoautotrophy were significant decreased. These results indicated that the specific species changes in bacterial community structure in continuous cropping samples may be more significantly related to the functions that affect material cycling.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Functional and phenotype prediction of microbial community in continuous cropping tobacco-growing rhizosphere soil. <bold>(A)</bold> Significance test for inter group differences of FAPROTAX functions prediction of rhizosphere bacteria diversity in tobacco plants (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001), <bold>(B)</bold> significance test for inter group differences of BugBase phenotype prediction of rhizosphere bacteria diversity in tobacco plants (&#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001).</p>
</caption>
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</fig>
<p>Moreover, BugBase database analysis was applied to predict the phenotypes of bacterial communities in continuous cropping samples (<xref ref-type="fig" rid="F8">Figure 8B</xref>), with significant differences in biofilm formation, and significant differences in whether samples were gram negative, aerobic, potentially pathogenic, contained mobile elements, or were anaerobic. The proportion of phenotypes forming biofilms in CC1Y samples was significantly higher than that in continuous cropping samples. This indicated that specific species changes in continuous cropping samples may have a greater impact on the diversity and stability of bacterial community phenotypes. Among them, <italic>Sphingomonas</italic> is one of the main contributors of phenotypes of biofilm formation, and in phenotypes that are gram negative and aerobic (<xref ref-type="sec" rid="s11">Supplementary Figures S3A&#x2013;C</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>In this study, it was found that as the continuous cropping years of tobacco increased, soil physicochemical properties changed, soil quick-available nutrients such as nitrogen, phosphorus, and potassium accumulated, soil organic matter also increased. Soil available nutrients are important indicators for evaluating soil fertility and are the direct source of the three basic elements required by plants, which have a significant impact on crop yield and quality (<xref ref-type="bibr" rid="B56">Oldroyd and Leyser, 2020</xref>). In previous studies, the impact of continuous cropping on soil properties of different crops was not the same; it has been shown that long-term continuous cropping of crops such as peanuts and chili leads to an increase in the content of available potassium, available phosphorus, available nitrogen, and soil organic matter (<xref ref-type="bibr" rid="B14">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B38">Li et al., 2022a</xref>).</p>
<p>Our sampling method was similar to earlier investigations of continuous tobacco cropping by Yu, involving samples obtained within the same year. Nonetheless, while Yu&#x2019;s sampling primarily emphasized distinctions between continuous and non-continuous cropping, our sampling method was adopted based on the variations across continuous cropping years (<xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). In Yu&#x2019;s study, continuous cropping could significantly increase the available nitrogen content and significantly decrease the available potassium of tobacco grown in Yunnan. But in Yan&#x2019;s study, continuous cropping significantly reduced the soil organic matter, nitrate nitrogen, and available potassium content of Liangshan tobacco, but significantly increased the content of available phosphorus (<xref ref-type="bibr" rid="B81">Yan et al., 2021</xref>). The results showed that tobacco cultivation for more than 3&#xa0;years led to an accumulation of a large amount of available nutrients in the soil, including available potassium and available phosphorus. On one hand, this might be relative to the long-term fertilization during continuous cropping process, and it may also be related to the preferential absorption of plants (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>). However, in previous studies, soil sickness brought about by continuous cropping could not be prevented by only correcting the imbalanced physicochemical factors in soil (<xref ref-type="bibr" rid="B79">Wilson et al., 2004</xref>).</p>
<p>Soil microorganisms have been shown to play important roles, being able to participate in the circulation of elements such as carbon, nitrogen, phosphorus, and sulfur (<xref ref-type="bibr" rid="B82">Yi et al., 2019</xref>; <xref ref-type="bibr" rid="B43">Li et al., 2022b</xref>). Continuous planting of the same crop is a convenient way to manage farmland, but the cultivation of a single crop affects the soil texture and the structure and function of the root microbial community of the crop (<xref ref-type="bibr" rid="B55">Niu et al., 2016</xref>; <xref ref-type="bibr" rid="B77">Wei and Yu, 2018</xref>; <xref ref-type="bibr" rid="B39">Li et al., 2020a</xref>; <xref ref-type="bibr" rid="B18">Dang et al., 2020</xref>). Our study indicated that long-term continuous cropping significantly reduced the diversity and stability of the soil bacterial community, and this is consistent with previous studies (<xref ref-type="bibr" rid="B69">Tan et al., 2021</xref>). However, continuous cropping did not show a significant impact on the diversity and stability of fungal community, in agreement with previous studies (<xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). The healthy growth of plants and the formation and maintenance of disease-resistant soils benefit from high diversity in the soil microbiome (<xref ref-type="bibr" rid="B84">Yuan et al., 2014</xref>). Therefore, the loss of rhizosphere bacterial richness and diversity may be one of the factors leading to poor growth of tobacco. In this study, the abundance of Chloroflexi and Patescibacteria in soil decreased along with continuous planting years. As reported, the most abundant bacteria belonging to Chloroflexi were involved in various organic transformations and sulfate metabolism, and they could reduce the potential for membrane contamination (<xref ref-type="bibr" rid="B50">Miura et al., 2007</xref>; <xref ref-type="bibr" rid="B31">Hug et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Narsing Rao et al., 2022</xref>). The decrease in Chloroflexi abundance may be one of the reasons for the accumulation of soil organic matter. After years of continuous cropping, the abundance of the Patescibacteria phylum declined. Patescibacteria has been identified as potentially the large autotrophic taxa involved in the nitrogen, sulfur, and iron cycles (<xref ref-type="bibr" rid="B29">Herrmann et al., 2019</xref>). A decrease in the abundance of the Patescibacteria phylum indicated the decrease of some part of the microbial communities involved in the circulation of elements. These reductions in the abundance of beneficial microorganisms leading to a huge impact on the rhizosphere environment may be one of the reasons for nutrient imbalances. Ascomycota, Basidiomycota, and Mortierellomycota were dominant fungal phyla, consistent with previous studies (<xref ref-type="bibr" rid="B75">Wang et al., 2020</xref>). Ascomycota is a saprophytic soil fungus that plays a major ecological role as a decomposer in nature and is influenced by plant species and planting methods. In this study, there was a significant correlation between Ascomycota and AN, AP, and SOM, and the decrease of Ascomycota abundance may be one of the reasons for the enrichment of various available nutrients. As reported, Mortierella could dissolve mineral phosphorus in soil by synthesizing and secreting oxalic acid (<xref ref-type="bibr" rid="B68">Spaepen et al., 2007</xref>), and it can also grow rapidly in iron-rich soil and use its mycelium to facilitate the growth of beneficial bacteria such as <italic>Bacillus</italic> (<xref ref-type="bibr" rid="B32">Jeewani et al., 2021</xref>). Olpidiomycota has also been reported to be significantly enriched in non-continuous cropping sugar beets (<xref ref-type="bibr" rid="B16">Cui et al., 2022</xref>). However, an opposite result was shown, where the abundance of Chytridiomycota increased significantly in the continuous cropping of sweet potato (<xref ref-type="bibr" rid="B24">Gao et al., 2019</xref>). Together, these comparisons indicated that the microbial community were affected by various factors, among which crop variety played a key role. Additionally, a significant positive correlation between Basidiomycota and continuous cropping year indicated that continuous cropping significantly enriches Basidiomycota. This is in contrast to the results of many previous studies (<xref ref-type="bibr" rid="B7">Beule et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Beule et al., 2021</xref>; <xref ref-type="bibr" rid="B57">Pang et al., 2021</xref>; <xref ref-type="bibr" rid="B80">Xu et al., 2022</xref>) but similar in a study of continuous cropping in grape (<xref ref-type="bibr" rid="B46">Liu et al., 2021</xref>). Basidiomycota has a wide variety of fungal species, making it one of the most advanced groups of fungi, with extremely wide distribution and complex functions (<xref ref-type="bibr" rid="B28">He et al., 2022</xref>). The impact of changes in Basidiomycota abundance requires more detailed research. Above all, the balance of rhizosphere microecology is an important measure for maintaining the balance of soil and plant microbiota, as a good rhizosphere microecological environment can not only promote the absorption and utilization of nutrients by plants but also help plants resist the invasion of diseases (<xref ref-type="bibr" rid="B91">Gonzalez et al., 2018</xref>; <xref ref-type="bibr" rid="B93">Zhou et al., 2020</xref>; <xref ref-type="bibr" rid="B92">Ling et al., 2022</xref>). The disruption of the rhizosphere microecological balance could lead to a decrease in sustainable soil productivity (<xref ref-type="bibr" rid="B5">Berendsen et al., 2012</xref>).</p>
<p>Recent studies have suggested that land use history affects crop rhizosphere microbiomes and plant physiology (<xref ref-type="bibr" rid="B41">Li et al., 2019</xref>). Soils with specific microbial community structure characteristics can also reflect soil changes and health levels (<xref ref-type="bibr" rid="B64">Shao et al., 2019</xref>). In the correlation analysis with soil properties in bacterial samples, <italic>Streptomyces</italic>, <italic>Sphingomonas</italic>, <italic>Microvirga</italic>, and <italic>Bryobacter</italic> showed a significant positive correlation with continuous cropping years. <italic>Streptomyces</italic> is one of the most important bacterial communities in soil, with great potential for the bioremediation of toxic compounds (<xref ref-type="bibr" rid="B1">&#xc1;lvarez et al., 2012</xref>), and plays an important role in the decomposition of organic matter that is beneficial for crop production (<xref ref-type="bibr" rid="B59">Qin et al., 2011</xref>). The results of this study are consistent with a study of the continuous cropping of sugarcane (<xref ref-type="bibr" rid="B57">Pang et al., 2021</xref>) but in contrast to a study of continuous cropping in soybean (<xref ref-type="bibr" rid="B80">Xu et al., 2022</xref>), implying the diversity between different crops. <italic>Sphingomonas</italic> has the function of promoting plant growth and decomposing aromatic compounds (<xref ref-type="bibr" rid="B34">Khan et al., 2014</xref>; <xref ref-type="bibr" rid="B87">Zhou et al., 2016</xref>). A previous study used it as an inoculum for soil herbicide removal experiments (<xref ref-type="bibr" rid="B40">Li et al., 2017a</xref>). <italic>Microvirga</italic> has the ability to decompose the pyridinecarboxamide compound, and it is used as a bioremediation agent (<xref ref-type="bibr" rid="B86">Zhao et al., 2021</xref>). In fungal samples, it was found that <italic>Tausonia</italic> was the first dominant genus in Basidiomycota taxa, and its abundance increased with continuous cropping years, with significant differences; this partially explained the significant increase in Basidiomycota. Environmental factor correlation analysis at the genus level showed that <italic>Tausonia</italic> and <italic>Solicocozyma</italic> under the Basidiomycota phylum were significantly positively correlated with continuous cropping years, consistent with previous studies on continuous cropping of sugar beet (<xref ref-type="bibr" rid="B16">Cui et al., 2022</xref>). Previous studies have shown that under the reduced nitrogen fertilizer environment of tobacco, the abundance of <italic>Tausonia</italic> significantly increased (<xref ref-type="bibr" rid="B65">Shen et al., 2022</xref>). <italic>Tausonia</italic> may participate in regulating tobacco sugar content and may also play a role in plant tolerance to low temperature and fermentation processes (<xref ref-type="bibr" rid="B35">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Wang et al., 2022b</xref>). <italic>Tausonia pullulans</italic> has been reported to be able to delay the mycorrhizal colonization of beneficial fungi in tomato roots (<xref ref-type="bibr" rid="B49">Mestre et al., 2022</xref>). As a Solanaceae crop, the tobacco plant may also affect the colonization of beneficial fungi due to the enrichment of the <italic>Tausonia</italic> genus. Similarly, the <italic>Fusarium</italic> and <italic>Pseudomycohila</italic> genera under the Ascomycota phylum also showed a significant positive correlation with the duration of continuous cropping. Fusarium genera have various pathogenic fungi, among which <italic>Fusarium oxysporum</italic> can directly cause root rot. Therefore, the increase in Fusarium abundance might greatly increase the possibility of soil disease. The changes in these specific genera with different functions during continuous cropping could provide a reference for the exploration of microbial agent products, which could be beneficial in solving soil sickness caused by continuous cropping.</p>
<p>The cycling of nitrogen in soil is influenced by both plant and microbial functional genes (<xref ref-type="bibr" rid="B51">Morse et al., 2018</xref>). Previous studies have shown that an increase in nitrogen inhibits microbial activity, such as microbial respiration, and a decrease in microbial biomass carbon (<xref ref-type="bibr" rid="B45">Liu and Greaver, 2010</xref>; <xref ref-type="bibr" rid="B30">Hu et al., 2021</xref>). In this study, there was a significant decrease in nitrogen metabolism functions and a significant increase in respiratory function in bacterial communities, with significant differences in continuous cropping. This is in contrast to previous studies, indicating that differential microorganisms may not fully explain functional changes. A previous study showed that differential microorganisms can serve as important indicators of environmental change (<xref ref-type="bibr" rid="B4">Berard et al., 2004</xref>), but the function of soil microbial communities is not entirely determined by bacteria, and the function of fungi is equally important. In Yu&#x2019;s research, the correlation between allelochemicals, microbial communities, and tobacco continuous cropping is evident, with allelochemicals leading to a more significant influence than microbial communities. In Yu&#x2019;s findings, however, soil physicochemical properties did not show a direct correlation with the continuous cropping of tobacco (<xref ref-type="bibr" rid="B83">Yu et al., 2023</xref>). Therefore, the exploration of microbial communities should extend beyond surface-level assessments of species richness and diversity. A deeper and more comprehensive examination into their functional roles and interactions should be performed. It should be noted that the bacterial community function in this study was predicted using only the FAPROTAX database, rather than being validated through experiments as other studies have done, which could have led to differences from the actual situation (<xref ref-type="bibr" rid="B70">Tao et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Jin et al., 2023</xref>; <xref ref-type="bibr" rid="B88">Zhou et al., 2023</xref>). Therefore, further experimental verification is needed to assess the impact of microbial community changes on microbial community function. It should also be noted that the sampling method adopted in this study, which involves selecting different plots in the same year, present some limitations to a certain extent. A more accurate method for continuous cropping study would be to sample the same plot for multiple consecutive years. Consecutive sampling would play a crucial role in decreasing the impact of environmental changes on the dynamic shifts within planting soil and microbial communities. It facilitates a clearer comprehension of the change trends in soil and microbial communities. Furthermore, consecutive sampling contributes to evaluating the relative stability of microbial communities, enhancing the reliability of study data. Nevertheless, the consecutive sampling method poses specific challenges for practical implementation.</p>
<p>Of course, considering the complexity of plant microbial and microbial interactions, optimizing soil microbial partnerships to improve soil quality is a challenging task (<xref ref-type="bibr" rid="B9">Brodeur, 2012</xref>; <xref ref-type="bibr" rid="B71">Toju et al., 2018</xref>; <xref ref-type="bibr" rid="B63">Sessitsch et al., 2019</xref>). Sometimes the change of a single microorganism could lead to great changes in the entire community (<xref ref-type="bibr" rid="B70">Tao et al., 2020</xref>), indicating the regulatory complexity of microbial community structure. However, the soil shape obtained by changing the rhizosphere microbial community is more durable than changing the fertilization method (<xref ref-type="bibr" rid="B88">Zhou et al., 2023</xref>). Therefore, for soil sickness caused by continuous cropping in farmland production, we recommend reducing the application of fertilizers, and instead balancing the microbial community. This is similar to previous research that confirmed that reducing nitrogen inputs could benefit tobacco (<xref ref-type="bibr" rid="B66">Shen et al., 2021</xref>). Changing the application of fertilizers to other new types of fertilizers, such as chitin fertilizers (<xref ref-type="bibr" rid="B21">Fan et al., 2022</xref>) and organic fertilizers (<xref ref-type="bibr" rid="B15">Chen et al., 2018</xref>), is also an effective strategy. Furthermore, changing farming methods would also be an effective way (<xref ref-type="bibr" rid="B47">Liu et al., 2020</xref>). These proposed strategies could help to restore the balance of the rhizosphere microecological environment.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This study analyzed the changes in the microbial community structure of tobacco rhizosphere under different continuous cropping years. The relationship between soil microbial community and soil physicochemical properties was revealed. Research has demonstrated that continuous cropping significantly impacted soil physicochemical properties during the long-term continuous cropping process, leading to the enrichment of some soil nutrients. The bacterial and fungal communities in the rhizosphere soil of continuous cropping tobacco underwent significant compositional changes, with some genera significantly associated with continuous cropping. Together, these results could be of benefit for providing a theoretical reference for the proper management and scientific fertilization of tobacco planting soil under continuous cropping conditions.</p>
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<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/982702">https://www.ncbi.nlm.nih.gov/bioproject/982702</ext-link>.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>Conceptualization, JR, LY, ZW, and JY; experiment implementation, GL, ZW, PG, JZ, LW, PD, YJ, YZ, and XZ; data processing, GL, ZW, PG, YZ, and JR; writing&#x2013;original draft preparation, GL and ZW; writing&#x2013;review and editing, XS, JR, and JY; funding acquisition, JY. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This work was supported by the science and technology planning project of Shaanxi Tobacco Company Yan&#x2019;an Company (Grant No. 2020-130), the technology development project of Inner Mongolia Kunming Cigarette Limited Liability Company (Grant No. 202315010534-JS-062), the &#x201c;First class grassland science discipline&#x201d; program in Shandong Province, and the Talents of High Level Scientific Research Foundation (Grant No. 6651121004) of Qingdao Agricultural University.</p>
</sec>
<ack>
<p>The authors would like to thank the &#x201c;Laboratory for Agricultural Molecular Biology&#x201d; of Qingdao Agricultural University for providing laboratory apparatus.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>Authors PG, LW, PD, YJ, and LY were employed by Yan&#x2019;an Tobacco (Group) Co., Ltd.</p>
<p>The remaining 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="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<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.2023.1251938/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenvs.2023.1251938/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table2.XLSX" id="SM1" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table3.XLSX" id="SM2" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="DataSheet1.docx" id="SM3" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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