The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation
Background: <i>Escherichia coli</i> is one of the most studied bacteria worldwide due to its genetic plasticity. Recently, in addition to characterizing its pathogenic potential, research has focused on understanding its resistance profile to inhibitory agents, whether these be antibioti...
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2025-03-01
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| author | Vinicius Silva Castro Yuri Duarte Porto Xianqin Yang Carlos Adam Conte Junior Eduardo Eustáquio de Souza Figueiredo Kim Stanford |
| author_facet | Vinicius Silva Castro Yuri Duarte Porto Xianqin Yang Carlos Adam Conte Junior Eduardo Eustáquio de Souza Figueiredo Kim Stanford |
| author_sort | Vinicius Silva Castro |
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| description | Background: <i>Escherichia coli</i> is one of the most studied bacteria worldwide due to its genetic plasticity. Recently, in addition to characterizing its pathogenic potential, research has focused on understanding its resistance profile to inhibitory agents, whether these be antibiotics or sanitizers. Objectives: The present study aimed to investigate six of the main serogroups of foodborne infection (O26, O45, O103, O111, O121, and O157) and to understand the dynamics of heterogeneity in resistance to sanitizers derived from quaternary ammonium compounds (QACs) and peracetic acid (PAA) using whole-genome sequencing (WGS). Methods: Twenty-four <i>E. coli</i> strains with varied resistance profiles to QACs and PAA were analyzed by WGS using NovaSeq6000 (150 bp Paired End reads). Bioinformatic analyses included genome assembly (Shovill), annotation via Prokka, antimicrobial resistance gene identification using Abricate, and core-genome analysis using Roary. A multifactorial multiple correspondence analysis (MCA) was conducted to explore gene–sanitizer relationships. In addition, a large-scale analysis utilizing the NCBI Pathogen Detection database involved a 2 × 2 chi-square test to examine associations between the presence of <i>qac</i> and <i>stx</i> genes. Results: The isolates exhibited varying antimicrobial resistance profiles, with O45 and O157 being the most resistant serogroups. In addition, the <i>qac</i> gene was identified in only one strain (S22), while four other strains carried the <i>stx</i> gene. Through multifactorial multiple correspondence analysis, the results obtained indicated that strains harboring genes encoding Shiga toxin (<i>stx</i>) presented profiles that were more likely to be sensitive to QACs. To further confirm these results, we analyzed 393,216 <i>E. coli</i> genomes from the NCBI Pathogen Detection database. Our results revealed a significant association (<i>p</i> < 0.001) between the presence of <i>qac</i> genes and the absence of <i>stx1</i>, <i>stx2</i>, or both toxin genes. Conclusion: Our findings highlight the complexity of bacterial resistance mechanisms and suggest that non-pathogenic strains may exhibit greater tolerance to QAC sanitizer than those carrying pathogenicity genes, particularly Shiga toxin genes. |
| format | Article |
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| institution | Kabale University |
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| spelling | doaj-art-8a1553bc378143e39b746368b89c576f2025-08-20T03:43:51ZengMDPI AGAntibiotics2079-63822025-03-0114329110.3390/antibiotics14030291The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> AdaptationVinicius Silva Castro0Yuri Duarte Porto1Xianqin Yang2Carlos Adam Conte Junior3Eduardo Eustáquio de Souza Figueiredo4Kim Stanford5Faculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, BrazilFaculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, BrazilAgriculture and Agri-Food Canada Lacombe Research and Development Centre, 6000 C & E Trail, Lacombe, AB T4L 1W1, CanadaCenter for Food Analysis (NAL-LADETEC), Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro, Av. Horácio Macedo, Polo de Química, bloco C, 1281-Cidade Universitária, Rio de Janeiro 21941-598, RJ, BrazilFaculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, BrazilDepartment of Biological Sciences, University of Lethbridge, Lethbridge, AB T1K 3M4, CanadaBackground: <i>Escherichia coli</i> is one of the most studied bacteria worldwide due to its genetic plasticity. Recently, in addition to characterizing its pathogenic potential, research has focused on understanding its resistance profile to inhibitory agents, whether these be antibiotics or sanitizers. Objectives: The present study aimed to investigate six of the main serogroups of foodborne infection (O26, O45, O103, O111, O121, and O157) and to understand the dynamics of heterogeneity in resistance to sanitizers derived from quaternary ammonium compounds (QACs) and peracetic acid (PAA) using whole-genome sequencing (WGS). Methods: Twenty-four <i>E. coli</i> strains with varied resistance profiles to QACs and PAA were analyzed by WGS using NovaSeq6000 (150 bp Paired End reads). Bioinformatic analyses included genome assembly (Shovill), annotation via Prokka, antimicrobial resistance gene identification using Abricate, and core-genome analysis using Roary. A multifactorial multiple correspondence analysis (MCA) was conducted to explore gene–sanitizer relationships. In addition, a large-scale analysis utilizing the NCBI Pathogen Detection database involved a 2 × 2 chi-square test to examine associations between the presence of <i>qac</i> and <i>stx</i> genes. Results: The isolates exhibited varying antimicrobial resistance profiles, with O45 and O157 being the most resistant serogroups. In addition, the <i>qac</i> gene was identified in only one strain (S22), while four other strains carried the <i>stx</i> gene. Through multifactorial multiple correspondence analysis, the results obtained indicated that strains harboring genes encoding Shiga toxin (<i>stx</i>) presented profiles that were more likely to be sensitive to QACs. To further confirm these results, we analyzed 393,216 <i>E. coli</i> genomes from the NCBI Pathogen Detection database. Our results revealed a significant association (<i>p</i> < 0.001) between the presence of <i>qac</i> genes and the absence of <i>stx1</i>, <i>stx2</i>, or both toxin genes. Conclusion: Our findings highlight the complexity of bacterial resistance mechanisms and suggest that non-pathogenic strains may exhibit greater tolerance to QAC sanitizer than those carrying pathogenicity genes, particularly Shiga toxin genes.https://www.mdpi.com/2079-6382/14/3/291evolutionary mechanismsbacterial communitiesbacteriophagefoodborne bacteriasanitizer resistance |
| spellingShingle | Vinicius Silva Castro Yuri Duarte Porto Xianqin Yang Carlos Adam Conte Junior Eduardo Eustáquio de Souza Figueiredo Kim Stanford The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation Antibiotics evolutionary mechanisms bacterial communities bacteriophage foodborne bacteria sanitizer resistance |
| title | The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation |
| title_full | The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation |
| title_fullStr | The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation |
| title_full_unstemmed | The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation |
| title_short | The Trade-Off Between Sanitizer Resistance and Virulence Genes: Genomic Insights into <i>E. coli</i> Adaptation |
| title_sort | trade off between sanitizer resistance and virulence genes genomic insights into i e coli i adaptation |
| topic | evolutionary mechanisms bacterial communities bacteriophage foodborne bacteria sanitizer resistance |
| url | https://www.mdpi.com/2079-6382/14/3/291 |
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