Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico.
The research aims to provide insights into the sources of contamination, prevalence of common serovars, determination of sequence types, prediction of genes associated with antimicrobial resistance, and phylogenetic analysis to evaluate genetic diversity and correlations between serovars and sequenc...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0323872 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850128564156891136 |
|---|---|
| author | Luis Lozano-Aguirre Josefina Duran-Bedolla Juan Téllez-Sosa Cindy Fabiola Hernández-Pérez Ismael Hernández-Lucas Humberto Barrios-Camacho |
| author_facet | Luis Lozano-Aguirre Josefina Duran-Bedolla Juan Téllez-Sosa Cindy Fabiola Hernández-Pérez Ismael Hernández-Lucas Humberto Barrios-Camacho |
| author_sort | Luis Lozano-Aguirre |
| collection | DOAJ |
| description | The research aims to provide insights into the sources of contamination, prevalence of common serovars, determination of sequence types, prediction of genes associated with antimicrobial resistance, and phylogenetic analysis to evaluate genetic diversity and correlations between serovars and sequence types in Salmonella enterica in Mexico. We analyzed 818 publicly accessible whole-genome sequences from Mexico, which included isolates from diverse sources such as poultry, meat, water, and agricultural environments. We identified fifty-seven serovars, of which 19.8% corresponded to S. Infantis, 10.7% to S. Anatum, and 6.6% to S. Newport, representing the most common serovars. Phylogenetic analysis shows a strong correlation between sequence type and serovar. For example, ST32 for S. Infantis and ST64 for S. Anatum show this. However, serovars such as S. Newport possessed considerable genomic diversity, suggesting complex contamination pathways. The analysis showed that many isolates have been identified as multidrug-resistant, exhibiting resistance gene profiles for aminoglycosides, β-lactams, fluoroquinolones, sulfonamides, and tetracyclines. The findings emphasize the importance of identifying contamination sources to monitor the dissemination of multidrug-resistant Salmonella in regions that have significant antibiotic consumption in agriculture and farming, highlighting its global relevance for food safety and public health. |
| format | Article |
| id | doaj-art-4d4dab29633347d8950555cc27e3ee4a |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-4d4dab29633347d8950555cc27e3ee4a2025-08-20T02:33:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01205e032387210.1371/journal.pone.0323872Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico.Luis Lozano-AguirreJosefina Duran-BedollaJuan Téllez-SosaCindy Fabiola Hernández-PérezIsmael Hernández-LucasHumberto Barrios-CamachoThe research aims to provide insights into the sources of contamination, prevalence of common serovars, determination of sequence types, prediction of genes associated with antimicrobial resistance, and phylogenetic analysis to evaluate genetic diversity and correlations between serovars and sequence types in Salmonella enterica in Mexico. We analyzed 818 publicly accessible whole-genome sequences from Mexico, which included isolates from diverse sources such as poultry, meat, water, and agricultural environments. We identified fifty-seven serovars, of which 19.8% corresponded to S. Infantis, 10.7% to S. Anatum, and 6.6% to S. Newport, representing the most common serovars. Phylogenetic analysis shows a strong correlation between sequence type and serovar. For example, ST32 for S. Infantis and ST64 for S. Anatum show this. However, serovars such as S. Newport possessed considerable genomic diversity, suggesting complex contamination pathways. The analysis showed that many isolates have been identified as multidrug-resistant, exhibiting resistance gene profiles for aminoglycosides, β-lactams, fluoroquinolones, sulfonamides, and tetracyclines. The findings emphasize the importance of identifying contamination sources to monitor the dissemination of multidrug-resistant Salmonella in regions that have significant antibiotic consumption in agriculture and farming, highlighting its global relevance for food safety and public health.https://doi.org/10.1371/journal.pone.0323872 |
| spellingShingle | Luis Lozano-Aguirre Josefina Duran-Bedolla Juan Téllez-Sosa Cindy Fabiola Hernández-Pérez Ismael Hernández-Lucas Humberto Barrios-Camacho Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. PLoS ONE |
| title | Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. |
| title_full | Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. |
| title_fullStr | Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. |
| title_full_unstemmed | Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. |
| title_short | Genomic insights into the serovar prevalence, antimicrobial resistance gene, and genetic diversity of Salmonella enterica in Mexico. |
| title_sort | genomic insights into the serovar prevalence antimicrobial resistance gene and genetic diversity of salmonella enterica in mexico |
| url | https://doi.org/10.1371/journal.pone.0323872 |
| work_keys_str_mv | AT luislozanoaguirre genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico AT josefinaduranbedolla genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico AT juantellezsosa genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico AT cindyfabiolahernandezperez genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico AT ismaelhernandezlucas genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico AT humbertobarrioscamacho genomicinsightsintotheserovarprevalenceantimicrobialresistancegeneandgeneticdiversityofsalmonellaentericainmexico |