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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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2023.1239761</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Unveiling antimicrobial resistance in Chilean fertilized soils: a One Health perspective on environmental AMR surveillance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fresno</surname>
<given-names>Marcela</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/233144/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pavez</surname>
<given-names>Leonardo</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/506828/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Poblete</surname>
<given-names>Yanina</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cortez</surname>
<given-names>Alexandra</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Del Pozo</surname>
<given-names>Tal&#x00ED;a</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2426475/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>N&#x00FA;cleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agron&#x00F3;micas, Facultad de Medicina Veterinaria y Agronom&#x00ED;a, Universidad de Las Am&#x00E9;ricas, Providencia</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff2"><sup>2</sup><institution>Red CYTED-USCC. CYTED 412RT0117: Una Salud en Iberoam&#x00E9;rica y El Caribe frente al cambio clim&#x00E1;tico y la p&#x00E9;rdida de biodiversidad</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff3"><sup>3</sup><institution>N&#x00FA;cleo de Investigaci&#x00F3;n en Ciencias Biol&#x00F3;gicas (NICB), Facultad de Medicina Veterinaria y Agronom&#x00ED;a, Universidad de Las Am&#x00E9;ricas</institution>, <addr-line>Providencia, Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff4"><sup>4</sup><institution>Departamento de Ciencias Humanas, Universidad Bernardo O&#x2019;Higgins</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff5"><sup>5</sup><institution>Facultad de Medicina Veterinaria y Agronom&#x00ED;a, Universidad de Las Am&#x00E9;ricas</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Mohammad Javad Mohammadi, Ahvaz Jundishapur University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Amira Awad Moawad, Friedrich Loeffler Institut, Germany; Hongsheng Huang, Canadian Food Inspection Agency (CFIA), Canada</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Marcela Fresno, <email>mfresno@udla.cl</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1239761</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Fresno, Pavez, Poblete, Cortez and Del Pozo.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Fresno, Pavez, Poblete, Cortez and Del Pozo</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>Antimicrobial resistance (AMR) poses a significant threat to humans and animals as well as the environment. Within agricultural settings, the utilization of antimicrobial agents in animal husbandry can lead to the emergence of antimicrobial resistance. In Chile, the widespread use of animal-derived organic amendments, including manure and compost, requires an examination of the potential emergence of AMR resulting from their application. The aim of this research was to identify and compare AMR genes found in fertilized soils and manure in Los Andes city, Chile. Soil samples were collected from an agricultural field, comprising unamended soils, amended soils, and manure used for crop fertilization. The selected genes (<italic>n</italic>&#x2009;=&#x2009;28) included genes associated with resistance to beta-lactams, tetracyclines, sulfonamides, polymyxins, macrolides, quinolones, aminoglycosides, as well as mobile genetic elements and multidrug resistance genes. Twenty genes were successfully identified in the samples. Tetracycline resistance genes displayed the highest prevalence, followed by MGE and sulfonamides, while quinolone resistance genes were comparatively less abundant. Notably, blaOXA, sulA, tetO, tetW, tetM, aac (6) ib., and intI1, exhibited higher frequencies in unamended soils, indicating their potential persistence within the soil microbiome and contribution to the perpetuation of AMR over time. Given the complex nature of AMR, it is crucial to adopt an integrated surveillance framework that embraces the One Health approach, involving multiple sectors, to effectively address this challenge. This study represents the first investigation of antimicrobial resistance genes in agricultural soils in Chile, shedding light on the presence and dynamics of AMR in this context.</p>
</abstract>
<kwd-group>
<kwd>One Health</kwd>
<kwd>AMR</kwd>
<kwd>ARG</kwd>
<kwd>fertilized soils</kwd>
<kwd>manure</kwd>
<kwd>environmental surveillance</kwd>
<kwd>Chile</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="68"/>
<page-count count="7"/>
<word-count count="6036"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Antimicrobials, Resistance and Chemotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Antimicrobial resistance (AMR) is a growing public health concern worldwide, affecting both human and animal health, as well as the environment (<xref ref-type="bibr" rid="ref6">Boden and Mellor, 2020</xref>; <xref ref-type="bibr" rid="ref51">Shawver et al., 2021</xref>). The potential causes of global AMR comprise excessive use of antibiotics in animals, misuse of antibiotics in humans, over-the-counter antibiotic availability, the growth of international travel, poor sanitation and hygiene, and the discharge of unmetabolized antibiotics or their residues into the environment via manure, urine, and feces (<xref ref-type="bibr" rid="ref9001">Aslam et al., 2018</xref>). AMR occurs when bacteria, viruses, fungi, and parasites develop resistance to the drugs that are commonly used for their treatment (<xref ref-type="bibr" rid="ref43">Puva&#x010D;a, 2022</xref>). As a consequence, AMR limits the effectiveness of antibiotics, leading to longer hospital stays, increased morbidity and mortality, and increased healthcare costs, and have a detrimental impact on the Gross Domestic Product of countries (<xref ref-type="bibr" rid="ref7">Boeckel et al., 2019</xref>; <xref ref-type="bibr" rid="ref1">Abushaheen et al., 2020</xref>). As a result, infections related to AMR are becoming a renewed threat to public health (<xref ref-type="bibr" rid="ref9008">Ventola, 2015</xref>). It is crucial to address this issue by implementing effective strategies to prevent the spread of antimicrobial resistance and promote the responsible use of antibiotics to ensure the continued efficacy of these life-saving drugs (<xref ref-type="bibr" rid="ref47">Roca et al., 2015</xref>).</p>
<p>AMR can manifest as antimicrobial-resistant bacteria and antimicrobial resistance genes (ARGs), both of which have the potential to enter and persist in ecosystems through various pathways. These pathways include soil, water, crops, and gut microbial communities of wildlife, livestock, and humans (<xref ref-type="bibr" rid="ref16">Du and Liu, 2012</xref>; <xref ref-type="bibr" rid="ref26">He T. et al., 2021</xref>). In agricultural settings, the use of antimicrobial agents in animal husbandry can lead to the selection and proliferation of resistant bacteria and ARGs (<xref ref-type="bibr" rid="ref9006">Thanner et al., 2016</xref>; <xref ref-type="bibr" rid="ref9005">Mshana et al., 2021</xref>). These resistant organisms can subsequently contaminate the environment through animal waste, runoff, and irrigation (<xref ref-type="bibr" rid="ref48">Roe and Pillai, 2003</xref>; <xref ref-type="bibr" rid="ref11">Chemaly et al., 2014</xref>; <xref ref-type="bibr" rid="ref2">Adegoke et al., 2016</xref>). Additionally, animals serve as reservoirs and vectors of AMR genes, facilitating its transmission and persistence between domestic and wild animals, and environments (<xref ref-type="bibr" rid="ref24">Graham et al., 2019</xref>; <xref ref-type="bibr" rid="ref3">Bennani et al., 2020</xref>). Humans play a crucial role in this dynamic relationship, by actively participating in activities such as farming, food production, and recreational pursuits, and wastewater management (<xref ref-type="bibr" rid="ref19">Fouz et al., 2020</xref>; <xref ref-type="bibr" rid="ref34">Jadeja and Worrich, 2022</xref>). These activities not only involve interactions with animals and their environments, but also have the potential to contribute to the dissemination of AMR genes in the environment and among animal populations (<xref ref-type="bibr" rid="ref53">Thakur and Panda, 2017</xref>).</p>
<p>Animal-derived organic amendments, such as manure and compost, are commonly used in Chilean agriculture (<xref ref-type="bibr" rid="ref9003">Infante and San Mart&#x00ED;n, 2016</xref>). The use of integrated nutrient management practices, which include the use of organic manures, has been found to improve soil physical, chemical, and biological properties, resulting in enhanced crop productivity and better quality of crop produce (<xref ref-type="bibr" rid="ref44">Rani et al., 2015</xref>; <xref ref-type="bibr" rid="ref50">Shakoor et al., 2021</xref>). However, the use of these amendments can also contribute to the development of AMR in soil bacteria, which can have negative impacts on human and animal health (<xref ref-type="bibr" rid="ref59">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref58">Yang et al., 2021</xref>). Recent research has focused on the effects of different types of organic amendments on soil health and greenhouse gas emissions (<xref ref-type="bibr" rid="ref9004">Kalus et al., 2019</xref>; <xref ref-type="bibr" rid="ref9007">Urra et al., 2019</xref>). Nonetheless, limited information is available on the emergence of AMR resulting from the application of animal-derived organic amendments in fertilized soils in Chile.</p>
<p>The detection of antimicrobial residues in the environment is frequently linked to the usage of commonly employed antimicrobials in animal production and human health, that through various pathways, including inadequate disposal of antimicrobials into sewage systems or solid waste management, discharge of treated or untreated wastewater intro water bodies, runoff from agricultural fields where manure is applied, and leaching from livestock waste storage facilities, can enter the environment (<xref ref-type="bibr" rid="ref5">Bian et al., 2015</xref>; <xref ref-type="bibr" rid="ref40">Monteiro et al., 2016</xref>; <xref ref-type="bibr" rid="ref36">Lima et al., 2020</xref>). Antibiotics, including tetracyclines, macrolides, fluoroquinolones, and sulfonamides, are among the most prevalent antimicrobial residues identified (<xref ref-type="bibr" rid="ref32">Huong et al., 2020</xref>; <xref ref-type="bibr" rid="ref58">Yang et al., 2021</xref>).</p>
<p>The use of antimicrobial agents in animal husbandry and agriculture should be carefully managed to minimize the risk of AMR development and spread. Understanding the prevalence and distribution of resistance genes in livestock manure and fertilized soils can help guide the development of strategies to minimize the spread of antibiotic resistance. This research article aims to identify and compare antimicrobial resistance genes detected in unamended soils, amended soils, and manure the Los Andes city, Chile. By investigating the relationship between animal amendments and AMR in Chilean fertilized soils, this study intends to shed light on the potential impact of this practice on the health of humans, animals, and the environment, and highlight the importance of a One Health approach to tackle this issue.</p>
</sec>
<sec id="sec2">
<title>Methods and results</title>
<sec id="sec3">
<title>Samples</title>
<p>The soil samples were collected from an agricultural field located in the city of Los Andes, Valparaiso region, Chile, where peach crops are cultivated. The different soil samples consisted in: a) unamended soils, which have not been fertilized in September 2021 (32&#x00B0;50&#x2032;40.1&#x201D;S 70&#x00B0;33&#x2032;36.9&#x201D;W); b) soils amended, in September 2021, with organic fertilizers of animal origin (32&#x00B0;53&#x2032;31.7&#x201D;S 70&#x00B0;35&#x2032;34.8&#x201D;W); c) organic amendments of animal origin used for crop fertilization. The organic amendments of animal origin corresponded to samples of cow and horse manure, acquired in August&#x2013;September 2021 locally by the producer from the agricultural field, and were not traceable. For each condition, four samples with five technical replicates were considered.</p>
<p>The soil samples were obtained from five different locations at a depth of 0&#x2013;20 centimeters using the envelope method (<xref ref-type="bibr" rid="ref8">Buta et al., 2021</xref>). The samples were collected using a sterile metal spatula and transferred to transparent polyethylene bags labeled as NascoTM Whirl-PakTM. All samples were transported under refrigeration conditions (4&#x00B0;C) to the Research Laboratory of Universidad de Las Americas Campus Providencia for processing, where they were stored at a freezing temperature (&#x2212;20&#x00B0;C) until analysis.</p>
</sec>
<sec id="sec4">
<title>DNA extraction from soils and organic amendments</title>
<p>The collected samples were air-dried overnight at room temperature (20&#x2013;25&#x00B0;C) and sieved to remove particles larger than 2&#x2009;mm prior to their utilization (<xref ref-type="bibr" rid="ref9002">Barrios et al., 2021</xref>). Genomic DNA (gDNA) extraction was performed in triplicate for each sample. To obtain gDNA from soil and animal-derived organic amendments, the DNeasy<sup>&#x00AE;</sup> PowerSoil<sup>&#x00AE;</sup> Pro Kit (Qiagen, Germany) was used following the manufacturer&#x2019;s instructions. All gDNA samples were stored at &#x2212;20&#x00B0;C until further analysis. DNA concentration of each sample was measured using a SPECTROstar<sup>&#x00AE;</sup> Nano absorbance plate reader (BMG Labtech), according to the manufacturer&#x2019;s instructions. The positive controls employed consist of ARG adquired from various bacterial sources, encompassing both pathogenic and environmental bacteria, that had been previously isolated (<xref ref-type="bibr" rid="ref20">Fresno et al., 2013</xref>; <xref ref-type="bibr" rid="ref46">Retamal et al., 2015</xref>).</p>
</sec>
<sec id="sec5">
<title>Identification of antimicrobial resistance genes</title>
<p>Genomic DNA (0.5 ng/&#x03BC;L) underwent quantitative real-time PCR (qPCR) analysis to determine genes associated with resistance to different selected (<italic>n</italic>&#x2009;=&#x2009;28) antimicrobials and horizontal gene transfer. Genes associated with resistance to beta-lactams (<italic>blaCTX-M-04, blaTEM, blaOXA, blaSHV</italic>), tetracyclines (<italic>tetA, tetB/P, tetC, tetG, tetM, tetO, tetW, tetX</italic>), sulfonamides (<italic>sul1, sul2, sulA</italic>), polimyxins (<italic>mcr-1</italic>), macrolides (<italic>ermB, ermC, ermQ</italic>), quinolones (<italic>gyrA, aac (6&#x2032;)-ib, qepA</italic>), aminoglycosides (<italic>aadA9</italic>), mobile genetic elements (MGE) (<italic>intI1, intI2, dfrA1</italic>) and multidrug resistance (<italic>mexF, oprJ</italic>) were determined. The details of the primers and references of the used genes can be found in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
<p>A reaction mixture (total volume: 25&#x2009;&#x03BC;L) was used, consisting of 12.5&#x2009;&#x03BC;L of Brilliant II SYBR GREEN qPCR Master Mix (Stratagene), 0.5&#x2009;&#x03BC;L of each specific forward and reverse primer for each gene, 11&#x2009;&#x03BC;L of high-purity sterile water (Roche Diagnostics), and 0.5&#x2009;&#x03BC;L of extracted DNA. All genes selected for the study were analyzed in triplicate. Reactions were performed using an AriaMX real-time PCR instrument (Agilent Technologies<sup>&#x00AE;</sup>). The thermal cycling conditions used consisted of one cycle at 95&#x00B0;C for 10&#x2009;min, followed by 40&#x2009;cycles of 30&#x2009;s at 95&#x00B0;C and 1&#x2009;min at 60&#x00B0;C. The Pfaffl method (<xref ref-type="bibr" rid="ref41">Pfaffl, 2001</xref>) was used to determine the expression of ratio between investigated samples. Analysis were based on the values of the threshold cycle (Ct), calculated according to the efficiency of the reaction for each pair of primers, estimated using LinReg software (<xref ref-type="bibr" rid="ref49">Ruijter et al., 2009</xref>). The data obtained were normalized with the relative abundance of 16S rRNA gene to present the frequency of genes in each of the investigated samples (<xref ref-type="bibr" rid="ref52">Suzuki et al., 2000</xref>).</p>
</sec>
<sec id="sec6">
<title>Statistical analysis</title>
<p>Statistical analyzes were conducted in R-Studio software Version 1.3.1093. The results of ARG differences were analyzed according to their sample of origin. In addition, an antimicrobial resistance gene profile was determined based on their presence or absence. Statistically significant differences between samples were determined using the non-parametric Kruskal-Wallis test, results were considered statistically significant at a significance level of <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. A Principal Component Analysis (PCA) was conducted to explore the relationships within the dataset, the Pearson correlation coefficient was employed to assess the relationship between the variables.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<title>Results</title>
<p>In this study, out of the 28 ARGs, 20 were identified and detected (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>), in both amended and unamended soils, and animal manure. Tetracycline resistance genes were predominantly observed in both types of soils, followed by mobile genetic elements and multidrug resistance genes (<xref ref-type="fig" rid="fig1">Figures 1A</xref>,<xref ref-type="fig" rid="fig1">B</xref>). Conversely, when analyzing animal manure, the primary genes identified were MGE, followed by tetracycline and multidrug resistance genes (<xref ref-type="fig" rid="fig1">Figures 1A</xref>,<xref ref-type="fig" rid="fig1">B</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Relative abundance of antimicrobial resistance genes (ARGs) in non-amended soils, amended soils and animal-derived organic amendments, by gene <bold>(A)</bold> and by antimicrobial group <bold>(B)</bold>, antimicrobial resistance genes (N&#x00B0;) in non-amended soils, amended soils and animal-derived organic amendments <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fmicb-14-1239761-g001.tif"/>
</fig>
<p>Significant statistical differences (p&#x2009;&#x003C;&#x2009;0.05) were observed when comparing the relative abundance of different groups of antimicrobial resistance genes (ARGs) between each condition (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). Specifically, mobile genetic element (MGE) genes and genes associated with multidrug resistance exhibited notable differences. MGE genes (<italic>dfrA1, aadA9, intL2</italic>) were predominantly identified in manure samples, while genes related to multidrug resistance (<italic>MexF, oprJ</italic>) were more prevalent in the unamended soil samples. The most correlated ARG abundance profiles were amended and unamended soil samples, according to Pearson&#x2019;s correlation (<italic>r</italic>&#x2009;=&#x2009;0.9486).</p>
<p>The analysis of samples collected from animal manure and unamended soils revealed a significantly higher abundance of ARG compared to samples from amended soils, as illustrated in <xref ref-type="fig" rid="fig1">Figure 1C</xref>. Among all tested conditions, tetracycline resistance genes exhibited the highest number of detections, followed by mobile genetic elements and sulfonamides. In contrast, the presence of genes related to quinolone resistance was found to be relatively scarce in the samples.</p>
<p>The principal component analysis shows that the first component explains 92.8% of the variance (<xref ref-type="fig" rid="fig2">Figure 2</xref>). This indicates that the ARGs observed in the samples do exhibit variation based on their origin, i.e., amended soils, unamended soils, and animal manure. We detected those genes conferring resistance to aminoglycosides, sulfonamides and MGE are mainly found in animal manure samples, while genes conferring resistance to tetracyclines and multidrug related genes are associated with both amended and unamended soils.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Principal component analysis of relative abundances of antimicrobial resistance groups in non-amended soils, amended soils and animal-derived organic amendments.</p>
</caption>
<graphic xlink:href="fmicb-14-1239761-g002.tif"/>
</fig>
<p>None of the samples showed the presence of genes associated with polymyxin resistance (<italic>mcr-1</italic>) or macrolide resistance (<italic>ermB, ermC, ermQ</italic>). Additionally, the genes <italic>tetB/P, blaTEM, blaSHV,</italic> and <italic>qepA</italic> were not detected in any of the samples (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>).</p>
</sec>
<sec id="sec8">
<title>Discussion and conclusion</title>
<p>Antimicrobial resistance genes have the potential to be transmitted from animals and humans to the environment, where they can persist and spread (<xref ref-type="bibr" rid="ref33">Iwu et al., 2020</xref>; <xref ref-type="bibr" rid="ref8">Buta et al., 2021</xref>). The soil microbiome has the capacity to serve as a reservoir for these resistance genes, facilitating the perpetuation of antimicrobial resistance within the surrounding environments (<xref ref-type="bibr" rid="ref42">Pu et al., 2019</xref>).</p>
<p>The use of fertilizers in agriculture offers various advantages, such as waste recycling, replace chemical fertilizers, enhanced soil quality, and reduced production expenses, among others (<xref ref-type="bibr" rid="ref22">Ganesan, 2022</xref>). However, the use of animal amendments as fertilizers can introduce pathogens from animal feces into the environment (<xref ref-type="bibr" rid="ref59">Zhang et al., 2020</xref>). Additionally, manure can contain antimicrobial residues, bacteria (including commensals) carrying resistance genes, and the resistance genes themselves, which can eventually contaminate the environment, water bodies, and soil (<xref ref-type="bibr" rid="ref15">den Meersche et al., 2019</xref>; <xref ref-type="bibr" rid="ref36">Lima et al., 2020</xref>). Moreover, crops cultivated in these amended soils have the potential to acquire these resistance genes, thereby increasing the likelihood of antimicrobial resistance transmission to humans and animals through the consumption of these crops (<xref ref-type="bibr" rid="ref25">He L.-Y. et al., 2021</xref>; <xref ref-type="bibr" rid="ref31">Huang et al., 2021</xref>).</p>
<p>In livestock production, the most frequently found ARGs are related to sulfonamide resistance (<italic>sul</italic>) (<xref ref-type="bibr" rid="ref39">Makowska et al., 2016</xref>), this finding is consistent with the results obtained in this study, which identified the presence of all genes associated with sulfonamide resistance. It is important to understand that the detection of ARG in agricultural soils extends beyond regional borders, given the global nature of AMR and, specifically, <italic>sul</italic> genes can originate from different sources (<xref ref-type="bibr" rid="ref29">Heuer et al., 2011</xref>; <xref ref-type="bibr" rid="ref9">Chaturvedi et al., 2021</xref>). Tetracycline resistance genes (<italic>tet</italic>), detected in this study, are widely distributed in different pathogenic and environmental bacteria and are often detected in wastewater treatment plants, soils, surface waters, and groundwater (<xref ref-type="bibr" rid="ref10">Chee-Sanford et al., 2001</xref>; <xref ref-type="bibr" rid="ref35">Li et al., 2010</xref>; <xref ref-type="bibr" rid="ref55">Wang et al., 2017</xref>). In agreement with this study, different authors have demonstrated the presence and persistence of multidrug-related genes and mobile genetic element genes in soil samples (<xref ref-type="bibr" rid="ref21">Fricke et al., 2008</xref>; <xref ref-type="bibr" rid="ref59">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref14">Delgado-Baquerizo et al., 2022</xref>). The extensive use of antimicrobials in agriculture, including the application of animal manure and organic amendments, has been identified as a major contributing factor to the dissemination and maintenance of multidrug resistance genes in the environment (<xref ref-type="bibr" rid="ref33">Iwu et al., 2020</xref>). The high prevalence of multidrug-related genes and mobile genetic elements in agricultural soils highlights the critical role of the environment as a reservoir and potential source of resistance genes (<xref ref-type="bibr" rid="ref27">He et al., 2020</xref>; <xref ref-type="bibr" rid="ref36">Lima et al., 2020</xref>), emphasizing the need for effective strategies to mitigate the environmental dissemination of antimicrobial resistance. The search for MGE provides insights for AMR prevention and control strategies that limits the acquisition and spread of AMR (<xref ref-type="bibr" rid="ref23">Gillings, 2014</xref>; <xref ref-type="bibr" rid="ref28">Hendriksen et al., 2019</xref>; <xref ref-type="bibr" rid="ref54">Vrancianu et al., 2020</xref>). The identification of ARG in Latin America constitutes poses a substantial risk to food safety and security in this region (<xref ref-type="bibr" rid="ref45">Reichert et al., 2019</xref>). While there is limited data on the occurrence of ARG in South America, studies have shown that clinically relevant ARG are more abundant in low- and middle-income settings in Africa, Asia, and South America, compared to high-income countries (<xref ref-type="bibr" rid="ref19">Fouz et al., 2020</xref>).</p>
<p>In this study, the presence of antimicrobial resistance genes (ARGs) was compared among amended soils, unamended soils, and animal manure. Unamended soils referred to soils that had not received fertilization in the current year but had been previously amended in other seasons. These unamended soils should not be considered as completely clean since they carry a significant ARG load due to previous amendments. Interestingly, certain genes (such as <italic>blaOXA, sulA, tetO, tetW, tetM aac (6) ib, intL1</italic>) exhibited higher frequencies in unamended soils (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). This finding suggests the potential persistence of these genes within the soil microbiome, contributing to the perpetuation of antimicrobial resistance in those environments over time (<xref ref-type="bibr" rid="ref25">He L.-Y. et al., 2021</xref>). Conversely, genes including <italic>blaCTX, sul1, sul2, tetA, dfrA1, aadA9</italic> and <italic>intL2</italic> were detected at higher frequencies in animal manure (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). This observation is consistent with the expectation that manure would contain a greater abundance of ARGs, considering the association of farm animals, such as cows and horses from which the manure originated, with antimicrobials in animal production systems (<xref ref-type="bibr" rid="ref60">Zhu et al., 2013</xref>; <xref ref-type="bibr" rid="ref57">Xie et al., 2018</xref>). The soil microbiome can harbor ARG from various sources over time or even be the origin of these ARG (<xref ref-type="bibr" rid="ref12">Colomer-Lluch et al., 2011</xref>; <xref ref-type="bibr" rid="ref18">Forsberg et al., 2012</xref>). This implies that, regardless of whether soils receive fertilization or not, that may possess the potential to disseminate ARG to animals, plants, and humans (<xref ref-type="bibr" rid="ref17">Forsberg et al., 2014</xref>; <xref ref-type="bibr" rid="ref13">Cyco&#x0144; et al., 2019</xref>). To prevent and mitigate this risk, an integrated approach is essential, which encompasses the management of animal-derived fertilizers, as well as addressing contamination sources like irrigation water, wastewater, and different animals, both wild and domestic.</p>
<p>There are various abiotic factors present in the soil, including pH, moisture content, heavy metals, temperature, and others, that play a significant role in determining the abundance of antibiotic resistance genes (<xref ref-type="bibr" rid="ref38">Liu W. et al., 2021</xref>). These factors exert their influence by affecting the succession of bacterial communities in the soil microbiome, as well as the presence of mobile genetic elements (<xref ref-type="bibr" rid="ref37">Liu B. et al., 2021</xref>). This could potentially elucidate the mechanisms responsible for the preservation of genes within unamended soils across successive seasons. Interestingly, resistance genes, when grouped by resistance type, were found to vary among the environments analyzed (<xref ref-type="fig" rid="fig2">Figure 2</xref>), where a relationship is seen between unamended and amended soils and multidrug resistance related genes and tetracyclines resistance genes, and between sulfonamides, aminoglycosides and MGE with animal manure. However, it is important to note that further analysis and examination of additional factors that may provide a more comprehensive understanding of the factors influencing resistance variations in the samples.</p>
<p>In the context of this study, it is important to note that the potential for contamination from human and animal sources cannot be ruled out, given the possible influence of various environmental reservoirs, such as wastewater and run-off from livestock facilities and agriculture (<xref ref-type="bibr" rid="ref30">Holvoet et al., 2013</xref>; <xref ref-type="bibr" rid="ref4">Berglund, 2015</xref>). The surveillance of antimicrobial resistance needs to consider the various stakeholders involved in the spread and persistence of AMR (<xref ref-type="bibr" rid="ref47">Roca et al., 2015</xref>). The One Health approach acknowledges the interdependence of animals, humans, foods, and the environment, in the transmission and amplification of AMR. Therefore, it is crucial to adopt an integrated surveillance framework that embraces the One Health approach, involving multiple sectors, to effectively address the complex challenge of AMR (<xref ref-type="bibr" rid="ref56">White and Hughes, 2019</xref>).</p>
<p>This study represents the first investigation of antimicrobial resistance genes (ARGs) in agricultural soils in Chile, and it stands as one of the early studies of its kind in South America. However, to derive more comprehensive and significant conclusions, further research involving a larger sample size is warranted. Additionally, future studies should consider the detection of antimicrobial residues across different environments, animals, and human sources, thereby expanding our understanding of this complex issue. By understanding and addressing the interplay between animals, humans, and the environment, we can effectively mitigate the persistence and expansion of AMR and safeguard public health and ecosystem integrity.</p>
</sec>
<sec sec-type="data-availability" id="sec9">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec10">
<title>Author contributions</title>
<p>MF: conceptualization and design of the study. MF, AC, and LP performed the experiment. MF and LP: collection of samples. AC and TP: sample preparation. MF: formal analysis and manuscript writing. MF and YP: manuscript editing. LP and YP: statistical and editing the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec11">
<title>Funding</title>
<p>This project was funded with 2020 Regular Research Project Grant Fund Universidad de Las Am&#x00E9;ricas, code PI202050.</p>
</sec>
<ack>
<p>We would like to express our sincere gratitude to V&#x00ED;ctor Castro Maldonado for his invaluable assistance with the contacts of the producers that were involved in this study. Furthermore, we express our gratitude to all the individuals who participated in this study, including the producers, volunteers, and any other contributors who played a role in the successful completion of this research project.</p>
</ack>
<sec sec-type="COI-statement" id="sec12">
<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="sec13">
<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.2023.1239761/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2023.1239761/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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