| Literature DB >> 35385824 |
Verónica Cortés1, Sandra Sevilla-Navarro2, Cristina García3, Clara Marín4, Pablo Catalá-Gregori2.
Abstract
Salmonella spp. is one of the most important zoonotic pathogens with economic impact in public health worldwide. The relevance of Salmonella increases with the appearance of resistant strains. The aim of this study was to determine the level of antimicrobial resistance in 332 Salmonella isolates selected from 3 different poultry productive orientations in Eastern Spain during 3 yr (2015-2017). Antimicrobial susceptibly was evaluated by broth microdilution method using 14 antibiotics. Epidemiological cut-off values (ECOFF) were used to evaluate the microbiological resistance to antibiotics. The rates of Salmonella resistance at least to one antibiotic were 96, 98, and 56% in broilers, turkeys, and layers, respectively. Regarding multidrug resistance, all productive orientations seems to present a decreasing trend along the study, being the mean rates 80% in turkeys followed by broilers (40%) and layers (6%). Throughout the study, the highest percentage of resistance was found to sulfamethoxazole in all productive orientations. Strains from broilers showed the highest resistance rates to sulfamethoxazole (73%), gentamicin (57%), ciprofloxacin (50%), nalidixic acid (29%), and tetracycline (24%). Relative to turkeys the highest resistance rates were to sulfamethoxazole (76%), ciprofloxacin (69%), tetracycline (75%), nalidixic acid (63%), and ampicillin (63%). Layers presented the most elevated resistance rates to sulfamethoxazole (39%) and tetracycline (13%). Regarding serovars the most MDR common serovars to the 3 productive orientations were S. Kentucky and S. Hadar. In the other hand, high MDR rates were found in other serovars like S. Infantis and S. Typhimurium in broilers and turkeys. Results shown in the present study suggest that the reduction in the use of antibiotics begins to be reflected in the reduction of the number of MDRs, especially in layers, with no MDR Salmonella strains in the last period. However, the level of resistances found in this study suggests the necessity of continuing working on the limitation of the use of antimicrobials in poultry to achieve (as in layers) the control of MDRs.Entities:
Keywords: Eastern Spain; Salmonella; antimicrobial resistance; multiresistance; poultry
Mesh:
Substances:
Year: 2022 PMID: 35385824 PMCID: PMC9170925 DOI: 10.1016/j.psj.2022.101832
Source DB: PubMed Journal: Poult Sci ISSN: 0032-5791 Impact factor: 4.014
Sensititre antimicrobial test panel concentrations, after the addition of 50 µL of inoculated broth and ECCOFF´s.
| Antimicrobial agent | Abbreviation | Panel range concentrations(µg/mL) | ECCOFF |
|---|---|---|---|
| Sulfamethoxazole | SMX | 8–1024 | ≥ 76 |
| Trimethoprim | TMP | 0.25–32 | > 2 |
| Ciprofloxacin | CIP | 0.06–8 | > 0.064 |
| Tetracycline | TET | 2–64 | > 8 |
| Meropenem | MERO | 0.12–16 | > 0.125 |
| Azitromycin | AZI | 2–64 | ≥ 32 |
| Nalidixic acid | NAL | 4–128 | > 16 |
| Cefotaxime | FOT | 0.25–1 | > 0.5 |
| Chloramphenicol | CHL | 8–128 | > 16 |
| Tigecycline | TGC | 0.25–8 | > 1 |
| Ceftazidime | TAZ | 0.5–8 | > 2 |
| Colistin | COL | 1–16 | > 2 |
| Ampicillin | AMP | 1–64 | > 8 |
| Gentamicin | GEN | 0.5–32 | > 2 |
Summary of resistance, multi-resistance and maximum number of antibiotics to which Salmonella is resistant for broilers, turkeys, and layers during 2015–2017.
| Resistance rates | Broilers | Turkeys | Layers | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | |
| Resistance (%) | 93 | 97 | 97 | 97 | 97 | 100 | 50 | 50 | 69 |
| Multidrug resistance (%) | 44.5 | 37.5 | 38.5 | 66.7 | 90 | 82.6 | 14 | 6 | 0 |
| Maximum number of antibiotics | 11 | 7 | 8 | 9 | 8 | 6 | 3 | 3 | 2 |
Figure 1Distribution of Salmonella spp. strains isolated from different poultry production (broilers, turkeys, and layers) according to the number of antibiotics to which they were resistant. X-axis represents the number of antimicrobials to which strains are resistant.
Antibiotic resistance rates of Salmonella isolated from different poultry production.
| Broilers | Turkeys | Layers | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Drugs | 2015% (n = 82) | 2016% (n = 40) | 2017% (n = 78) | 2015% (n = 33) | 2016% (n = 30) | 2017% (n = 23) | 2015% (n = 14) | 2016% (n = 16) | 2017% (n = 16) |
| SMX | 65aB | 65aB | 87bB | 64aB | 83abB | 83bB | 29A | 38A | 50A |
| 73b | 76b | 39a | |||||||
| TMP | 3.7aA | 2.5 aA | 19 b | 30B | 20B | 13 | 0A | 0A | 0 |
| 9a | 22b | 0a | |||||||
| CIP | 59 bB | 53 abB | 40 aB | 61aB | 70abB | 83bC | 14A | 13A | 0A |
| 50b | 69c | 9a | |||||||
| TET | 29 bA | 10.0 aA | 24 abA | 70B | 83B | 74B | 21A | 6A | 13A |
| 24a | 75b | 13a | |||||||
| MERO | 1.2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1.5 | 0 | 0 | |||||||
| AZI | 3.7 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 0 |
| 2 | 3 | 0 | |||||||
| NAL | 35A | 23A | 26B | 58B | 63B | 70C | 14A | 13A | 0A |
| 29b | 63c | 8.6a | |||||||
| FOT | 3.7A | 2.5A | 1A | 27B | 23B | 13B | 0A | 0A | 0A |
| 2a | 22b | 0a | |||||||
| CHL | 0A | 3 | 0 | 12bB | 13a | 0 | 0A | 0 | 0 |
| 0.5 a | 9 b | 0a | |||||||
| TGC | 1.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0.5 | 0 | 0 | |||||||
| TAZ | 6.1A | 5 | 1 | 18 bB | 10 ab | 0a | 0A | 0 | 0 |
| 4 a | 10 b | 0 a | |||||||
| COL | 2.4 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 6 |
| 1.5 | 1.2 | 2.1 | |||||||
| AMP | 35.4 bB | 20 abA | 15aA | 70C | 57B | 61B | 0A | 0A | 6A |
| 24.5 b | 63 c | 2.1 a | |||||||
| GEN | 60 abB | 70 bB | 47 aB | 18A | 23A | 22AB | 0A | 0A | 0A |
| 57 c | 22 b | 0 a | |||||||
x̄: period mean.
For each drug, the values within the same poultry production with different superscript lowercase letters in a row are significantly different (P < 0.05).
ABFor each drug, the values within the same year with different superscript capital letters in a row are significantly different (P < 0.05).
abFor each drug, the mean values of each poultry production with different superscript lowercase letters in a row are significantly different (P < 0.05).
Multidrug resistance patterns of Salmonella spp. strains.
| Drugs patterns | Broilers | Turkeys | Layers | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | 2015 | 2016 | 2017 | |
| SMX-CIP-GEN | 5 | 4 | 4 | - | - | - | - | - | - |
| SMX-CIP-NAL | - | - | - | - | - | - | 1 | 1 | - |
| SMX-NAL-GEN | 1 | - | - | - | - | - | - | - | - |
| SMX-TET-AMP | 1 | - | - | 2 | - | - | - | - | - |
| SMX-TET-CHL | - | - | - | - | 1 | - | - | - | - |
| CIP-TET-AMP | 1 | - | - | - | - | - | - | - | - |
| CIP-TET-NAL | 1 | - | - | - | - | 1 | 1 | - | - |
| CIP-NAL-GEN | 1 | - | - | - | - | - | - | - | - |
| CIP-AMP-GEN | 1 | - | - | - | - | - | - | - | - |
| NAL-TAZ-GEN | - | - | - | - | - | - | - | - | - |
| SMX-CIP-NAL-GEN | 5 | - | - | - | - | - | - | - | - |
| SMX-CIP-NAL-TAZ | 1 | - | - | - | - | - | - | - | - |
| SMX-CIP-TET-AMP | 1 | - | - | - | - | - | - | - | - |
| SMX-TET-AZI-AMP | - | - | 1 | - | - | - | - | - | - |
| CIP-TET-NAL-AMP | - | - | - | 1 | - | 1 | - | - | - |
| CIP-TET-NAL-COL | - | - | - | - | 1 | - | - | - | - |
| SMX-CIP-NAL-AMP-GEN | 9 | - | - | - | - | - | - | - | - |
| SMX-CIP-MERO-TET-GEN | - | - | - | - | - | - | - | - | - |
| SMX-CIP-TET-CHL-AMP | - | - | - | 1 | 1 | - | - | - | - |
| SMX-CIP-TET-NAL-AMP | - | - | - | - | - | 2 | - | - | - |
| SMX-TMP-CIP-TET-NAL | - | - | 9 | - | - | - | - | - | - |
| TMP-CIP-AZI-FOT-TAZ-AMP | 1 | - | - | - | - | - | - | - | - |
| SMX-CIP-TET-NAL-AMP-GEN | 3 | 3 | 2 | - | - | - | - | - | - |
| SMX-TMP-CIP-TET-FOT-AMP | - | - | - | 2 | - | 1 | - | - | - |
| CIP-TET-NAL-FOT-TAZ-AMP | - | - | - | - | 1 | - | - | - | - |
| SMX-CIP-TET-NAL-TGC-AMP-GEN | 1 | - | - | - | - | - | - | - | - |
| SMX-TMP-CIP-TET-FOT-TGC-AMP | - | 1 | - | - | - | - | - | - | - |
| SMX-TMP-CIP-TET-AZI-FOT-AMP | - | - | - | - | 1 | - | - | - | - |
| SMX-TMP-CIP-TET-NAL-TAZ-GEN | - | - | 1 | - | - | - | - | - | - |
| SMX-TMP-CIP-TET-NAL-FOT-AMP | - | - | - | - | 1 | - | - | - | - |
| SMX-CIP-TET-NAL-FOT-CHL-TAZ-AMP-GEN | - | - | - | 1 | - | - | - | - | - |
| SMX-TMP-CIP-TET-AZI-NAL-FOT-TAZ-AMP-GEN | 1 | - | - | - | - | - | - | - | - |
| SMX-TMP-CIP-TET-MERO-NAL-FOT-TAZ-COL-AMP-GEN | 1 | - | - | - | - | - | - | - | - |
Resistance and multiresistance distribution of Salmonella serotypes.
| Source | Year | Agona | Bredeney | Enteritidis | Hadar | Infantis | Kentucky | Mikawasima | Ohio | Senftenberg | Typhimurium | Virchow | Others | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | R1 | 100 | - | - | 100 | - | 100 | 100 | 50 | 96 | 100 | 100 | 73 | |
| R3 | - | - | - | 100 | - | 100 | 30 | 50 | 31 | 75 | 87 | 18 | ||
| 2016 | R1 | - | - | 100 | 100 | - | 100 | 100 | - | 100 | - | 100 | 88 | |
| R3 | - | - | - | - | - | 66 | 50 | - | 32 | - | 100 | 33 | ||
| 2017 | R1 | 100 | - | - | - | 100 | 100 | 100 | - | 100 | 100 | 100 | 85 | |
| R3 | - | - | - | - | 86 | 100 | 14 | - | 13 | 100 | 100 | 38 | ||
| 2015 | R1 | 83 | 100 | - | 100 | - | 100 | 100 | - | - | 100 | - | 100 | |
| R3 | 66 | 100 | - | 20 | - | 100 | - | - | - | 66 | - | 80 | ||
| 2016 | R1 | 100 | 90 | - | 100 | 100 | 100 | - | - | - | 100 | - | 100 | |
| R3 | 80 | 80 | - | 100 | 100 | 100 | - | - | - | 50 | - | 100 | ||
| 2017 | R1 | 100 | 100 | - | 100 | - | 100 | - | - | - | - | - | 100 | |
| R3 | 100 | 50 | - | 100 | - | 100 | - | - | - | - | - | - | ||
| 2015 | R1 | - | - | - | 100 | 100 | 100 | - | 50 | - | - | - | 50 | |
| R3 | - | - | - | 100 | - | 100 | - | - | - | - | - | - | ||
| 2016 | R1 | - | - | 50 | - | 33 | 100 | - | 40 | - | - | 100 | 50 | |
| R3 | - | - | - | - | - | 100 | - | - | - | - | - | - | ||
| 2017 | R1 | - | - | - | - | 50 | - | - | 50 | 100 | 400 | - | 75 | |
| R3 | - | - | - | - | - | - | - | - | - | - | - | - |
Data are presented as percentage.
R1, resistant to one or more antibiotics; R3, resistant to 3 or more antibiotics (multiresistant).