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Chen Z, Toro M, Moreno-Switt AI, Adell AD, Delgado-Suárez EJ, Bonelli RR, Oliveira CJB, Reyes-Jara A, Huang X, Albee B, Grim CJ, Allard M, Tallent SM, Brown EW, Bell RL, Meng J. Unveiling the genomic landscape of Salmonella enterica serotypes Typhimurium, Newport, and Infantis in Latin American surface waters: a comparative analysis. Microbiol Spectr 2024; 12:e0004724. [PMID: 38546218 PMCID: PMC11064523 DOI: 10.1128/spectrum.00047-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/06/2024] [Indexed: 05/03/2024] Open
Abstract
Surface waters are considered ecological habitats where Salmonella enterica can persist and disseminate to fresh produce production systems. This study aimed to explore the genomic profiles of S. enterica serotypes Typhimurium, Newport, and Infantis from surface waters in Chile, Mexico, and Brazil collected between 2019 and 2022. We analyzed the whole genomes of 106 S. Typhimurium, 161 S. Newport, and 113 S. Infantis isolates. Our phylogenetic analysis exhibited distinct groupings of isolates by their respective countries except for a notable case involving a Chilean S. Newport isolate closely related to two Mexican isolates, showing 4 and 13 single nucleotide polymorphisms of difference, respectively. The patterns of the most frequently detected antimicrobial resistance genes varied across countries and serotypes. A strong correlation existed between integron carriage and genotypic multidrug resistance (MDR) across serotypes in Chile and Mexico (R > 0.90, P < 0.01), while integron(s) were not detected in any of the Brazilian isolates. By contrast, we did not identify any strong correlation between plasmid carriage and genotypic MDR across diverse countries and serotypes.IMPORTANCEUnveiling the genomic landscape of S. enterica in Latin American surface waters is pivotal for ensuring public health. This investigation sheds light on the intricate genomic diversity of S. enterica in surface waters across Chile, Mexico, and Brazil. Our research also addresses critical knowledge gaps, pioneering a comprehensive understanding of surface waters as a reservoir for multidrug-resistant S. enterica. By integrating our understanding of integron carriage as biomarkers into broader MDR control strategies, we can also work toward targeted interventions that mitigate the emergence and dissemination of MDR in S. enterica in surface waters. Given its potential implications for food safety, this study emphasizes the critical need for informed policies and collaborative initiatives to address the risks associated with S. enterica in surface waters.
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Affiliation(s)
- Zhao Chen
- Joint Institute for Food Safety and Applied Nutrition and Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
| | - Magaly Toro
- Joint Institute for Food Safety and Applied Nutrition and Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
- Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Andrea I. Moreno-Switt
- Escuela de Medicina Veterinaria, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Aiko D. Adell
- Escuela de Medicina Veterinaria, Facultad de Ciencias de la Vida, Facultad de Agronomía y Sistemas Naturales, Facultad de Ciencias Biológicas y Facultad de Medicina, Universidad Andrés Bello, Santiago, Chile
| | - Enrique J. Delgado-Suárez
- Facultad de Medicina Veterinaria y Zootecnia, Universidad de Nacional Autónoma de México, Mexico City, Mexico
| | - Raquel R. Bonelli
- Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Angélica Reyes-Jara
- Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile, Santiago, Chile
| | - Xinyang Huang
- Joint Institute for Food Safety and Applied Nutrition and Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
- Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, USA
| | - Brett Albee
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Christopher J. Grim
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Marc Allard
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Sandra M. Tallent
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Eric W. Brown
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Rebecca L. Bell
- Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, College Park, Maryland, USA
| | - Jianghong Meng
- Joint Institute for Food Safety and Applied Nutrition and Center for Food Safety and Security Systems, University of Maryland, College Park, Maryland, USA
- Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, USA
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Weller DL, Murphy CM, Love TMT, Danyluk MD, Strawn LK. Methodological differences between studies confound one-size-fits-all approaches to managing surface waterways for food and water safety. Appl Environ Microbiol 2024; 90:e0183523. [PMID: 38214516 PMCID: PMC10880618 DOI: 10.1128/aem.01835-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 11/14/2023] [Indexed: 01/13/2024] Open
Abstract
Even though differences in methodology (e.g., sample volume and detection method) have been shown to affect observed microbial water quality, multiple sampling and laboratory protocols continue to be used for water quality monitoring. Research is needed to determine how these differences impact the comparability of findings to generate best management practices and the ability to perform meta-analyses. This study addresses this knowledge gap by compiling and analyzing a data set representing 2,429,990 unique data points on at least one microbial water quality target (e.g., Salmonella presence and Escherichia coli concentration). Variance partitioning analysis was used to quantify the variance in likelihood of detecting each pathogenic target that was uniquely and jointly attributable to non-methodological versus methodological factors. The strength of the association between microbial water quality and select methodological and non-methodological factors was quantified using conditional forest and regression analysis. Fecal indicator bacteria concentrations were more strongly associated with non-methodological factors than methodological factors based on conditional forest analysis. Variance partitioning analysis could not disentangle non-methodological and methodological signals for pathogenic Escherichia coli, Salmonella, and Listeria. This suggests our current perceptions of foodborne pathogen ecology in water systems are confounded by methodological differences between studies. For example, 31% of total variance in likelihood of Salmonella detection was explained by methodological and/or non-methodological factors, 18% was jointly attributable to both methodological and non-methodological factors. Only 13% of total variance was uniquely attributable to non-methodological factors for Salmonella, highlighting the need for standardization of methods for microbiological water quality testing for comparison across studies.IMPORTANCEThe microbial ecology of water is already complex, without the added complications of methodological differences between studies. This study highlights the difficulty in comparing water quality data from projects that used different sampling or laboratory methods. These findings have direct implications for end users as there is no clear way to generalize findings in order to characterize broad-scale ecological phenomenon and develop science-based guidance. To best support development of risk assessments and guidance for monitoring and managing waters, data collection and methods need to be standardized across studies. A minimum set of data attributes that all studies should collect and report in a standardized way is needed. Given the diversity of methods used within applied and environmental microbiology, similar studies are needed for other microbiology subfields to ensure that guidance and policy are based on a robust interpretation of the literature.
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Affiliation(s)
- Daniel L. Weller
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA
| | - Claire M. Murphy
- Department of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA
| | - Tanzy M. T. Love
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA
| | - Michelle D. Danyluk
- Department of Food Science and Human Nutrition, Citrus Research and Education Center, University of Florida, Lake Alfred, Florida, USA
| | - Laura K. Strawn
- Department of Food Science and Technology, Virginia Tech, Blacksburg, Virginia, USA
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