| Literature DB >> 35418960 |
Lisa Di Marcantonio1, Romina Romantini1, Francesca Marotta1, Alexandra Chiaverini2, Katiuscia Zilli1, Anna Abass1, Elisabetta Di Giannatale1, Giuliano Garofolo1, Anna Janowicz1.
Abstract
Salmonella enterica serovar Infantis is one of the five main causes of human salmonellosis in the European Union (EU) and in recent years, has been increasingly reported to carry multiple antimicrobial resistance determinants, including extended-spectrum beta-lactamase (ESBL) genes. In our study, we used WGS-based tools to characterize S. Infantis strains circulating in the Abruzzo and Molise regions of Italy between 2017 and 2020 and compared this local dataset to the S. Infantis population present in Italy over the last two decades. Phylogenetic analyses demonstrated that the majority of strains isolated from poultry and turkeys from Abruzzo and Molise were closely related and belonged to one of the two main genetic clusters present in Italy, which were grouped predominantly as ESBL-producing strains that harbored pESI-like plasmid. We showed that 60% of the local strains carried multiple antibiotic resistance genes, including ESBL gene bla CTX-M-1 as well as aadA1, dfrA1, dfrA14, sul1, and tet(A) genes present on the pESI-like megaplasmid. The analysis of strains from Abruzzo and Molise and the publicly available Italian S. Infantis sequences revealed a dramatic increase in the number of identified AMR genes in the strains isolated after 2011. Moreover, the number of strains resistant to five or more antibiotic classes increased from 20-80% in the last decade likely due to the acquisition of the megaplasmid. The persistence of the ESBL-producing and the multidrug-resistant (MDR) clone of S. Infantis in poultry populations in Italy and in Europe requires rapid and efficient intervention strategies to prevent further expansion of the clone.Entities:
Keywords: ESBL–extended-spectrum beta-lactamase; Salmonella Infantis; WGS–whole-genome sequencing; genomics; multidrug resistance
Year: 2022 PMID: 35418960 PMCID: PMC8996230 DOI: 10.3389/fmicb.2022.812481
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1Geographic distribution and genetic diversity of Salmonella Infantis strains collected between 2017 and 2020. A set of 103 strains collected in Abruzzo, Molise and Marche regions were sequenced by whole-genome sequencing (WGS) and the core genome multilocus sequence typing (cgMLST) analysis was performed. The MST was generated based on 3,002 target genes, with missing values ignored, and the clusters were assigned using a cut-off of seven core genes and highlighted with different colors. The nodes are colored according to the host and the branch distances correspond to the number of discriminating loci.
FIGURE 2Predicted genetic traits in a set of 103 Salmonella Infantis strains from Italy. AMR genes detected in silico are shown as black boxes. NF, not found; * more than one IncFIB detected; ** located in the same contig as IncX1.
FIGURE 3Antibiotic resistance trends of Salmonella Infantis collected between 2001 and 2020 in Italy. AMR genes were detected in the genomes in silico and assigned into antimicrobial classes. The strains were grouped into four categories and the figure panels show detected AMR traits for each of the groups. (A) Percentage of strains resistant to specific antibiotics, (B) percentage of strains carrying specific beta-lactam resistance genes, and (C) percentage of strains resistant to specified number of antibiotic classes.
FIGURE 4Phylogeny of Salmonella Infantis in Italy. Salmonella The maximum likelihood tree was constructed based on alignment of 1,826 concatenated core genome SNPs of 263 S. Infantis genomes. Strains sequenced in this study are marked with a star and three different clusters are highlighted (Cluster I in red, Cluster II in yellow, Cluster III in green).
Predicted distribution of antimicrobial resistance genes on plasmids.
| Total | IncA/C | IncF | IncH | IncI | IncX | ND | |
| aac(3)-IVa | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| aac(6’)-Ib-AKT | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| aadA1 | 131 | 1 | 105 | 0 | 5 | 6 | 14 |
| aadA13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| aadA2 | 26 | 0 | 1 | 0 | 3 | 2 | 20 |
| aadA5 | 3 | 0 | 0 | 1 | 0 | 0 | 2 |
| aph(3”)-Ib | 7 | 0 | 0 | 2 | 1 | 0 | 4 |
| aph(3’)-Ia | 123 | 0 | 120 | 2 | 0 | 0 | 1 |
| aph(4)-Ia | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| aph(6)-Id | 7 | 0 | 0 | 2 | 1 | 0 | 4 |
| blaCTX-M-1 | 116 | 0 | 4 | 0 | 1 | 0 | 111 |
| blaCTX-M-65 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| blaTEM-1B | 72 | 1 | 10 | 1 | 3 | 55 | 2 |
| blaTEM-1D | 3 | 0 | 0 | 0 | 0 | 3 | 0 |
| blaTEM-1A | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| catA1 | 3 | 1 | 0 | 2 | 0 | 0 | 0 |
| catB3 | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| cmlA1 | 25 | 3 | 1 | 0 | 0 | 2 | 19 |
| dfrA1 | 139 | 0 | 127 | 0 | 0 | 0 | 12 |
| dfrA12 | 9 | 0 | 1 | 0 | 0 | 0 | 8 |
| dfrA14 | 178 | 0 | 178 | 0 | 0 | 0 | 0 |
| dfrA17 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| dfrA5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| dfrA8 | 7 | 0 | 0 | 0 | 0 | 0 | 7 |
| ere(A) | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| floR | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| fosA3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| lnu(F) | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| lnu(G) | 29 | 0 | 0 | 0 | 0 | 8 | 21 |
| mcr-1.1 | 5 | 0 | 0 | 0 | 0 | 5 | 0 |
| mef(B) | 17 | 0 | 1 | 0 | 0 | 0 | 16 |
| mph(A) | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| qnrB19 | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| qnrS1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| sul1 | 221 | 1 | 215 | 1 | 1 | 0 | 3 |
| sul2 | 5 | 1 | 0 | 2 | 2 | 0 | 0 |
| sul3 | 36 | 0 | 1 | 0 | 3 | 2 | 30 |
| tet(A) | 222 | 1 | 215 | 0 | 1 | 0 | 5 |
| tet(B) | 2 | 0 | 0 | 2 | 0 | 0 | 0 |
ND, not determined. Increasing number of detected genes is highlighted with the red color gradient, white color marking low number of genes and dark red marking 325 large number of genes detected.