Submitted:
04 January 2024
Posted:
05 January 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
Whole Genome Sequencing
MLST and cgMLST
3. Results
MLVA Analysis
WGS
4. Discussion
- in free areas, or in areas with low prevalence, periodic screening of farms is needed to identify infected animals to be eliminated in a short time;
- in endemic areas, and according to the prevalence of the disease, vaccination of healthy animals should be considered as an option, either as mass vaccination or only as a young animals vaccination;
- educational campaigns aimed at the population in relation to both eating habits (consumption of pasteurized or boiled milk), and to the adoption of good hygienic practices (avoid contact and handling of organic material at risk) are of paramount importance for decreasing the impact of brucellosis on public health. In parallel, it is important also to carry out educational campaigns aimed at professionally exposed categories of workers (i.e. farmers, veterinarians, butchers, laboratory workers) so that they gain sufficient information allowing them to adopt the most appropriate hygiene rules in their professional context.
5. Conclusions
Acknowledgments
Conflicts of Interest
References
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| ID | Sample ID | Strain ID | Governorates | Host | Collection Year |
|---|---|---|---|---|---|
| 1 | 3 | Iraq_2223-3 | Karbala | Sheep | 2017 |
| 2 | 6 | Iraq_2223-6 | Karbala | Sheep | 2016 |
| 3 | 9 | Iraq_2223-9 | Baghdad | Cattle | 2015 |
| 4 | 10 | Iraq_2223-10 | Karbala | Sheep | 2017 |
| 5 | 11 | Iraq_2223-11 | Baghdad | Sheep | 2015 |
| 6 | 12 | Iraq_2223-12 | Maysan | Sheep | 2015 |
| 7 | 13 | Iraq_2223-13 | Wasit | Cattle | 2015 |
| 8 | 19 | Iraq_2223-19 | Baghdad | Buffalo | 2017 |
| 9 | 24 | Iraq_2223-24 | Baghdad | Sheep | 2015 |
| 10 | 26 | Iraq_2223-26 | Babil | Sheep | 2015 |
| 11 | 28 | Iraq_2223-28 | Diyala | Sheep | 2015 |
| 12 | 35 | Iraq_2223-35 | Babil | Cattle | 2015 |
| 13 | 39 | Iraq_2223-39 | Babil | Sheep | 2017 |
| 14 | 40 | Iraq_2223-40 | Wasit | Sheep | 2015 |
| 15 | 43 | Iraq_2223-43 | Wasit | Cattle | 2015 |
| 16 | 47 | Iraq_2223-47 | Maysan | Cattle | 2015 |
| 17 | 57 | Iraq_2223-57 | Babil | Sheep | 2015 |
| 18 | 58 | Iraq_2223-58 | Babil | Sheep | 2015 |
| 19 | 60 | Iraq_2223-60 | Baghdad | Sheep | 2015 |
| 20 | 61 | Iraq_2223-61 | Maysan | Cattle | 2015 |
| 21 | 66 | Iraq_2223-66 | Babil | Cattle | 2017 |
| 22 | 75 | Iraq_2223-75 | Babil | Sheep | 2017 |
| 23 | 76 | Iraq_2223-76 | Baghdad | Sheep | 2015 |
| 24 | 78 | Iraq_2223-78 | Wasit | Cattle | 2015 |
| 25 | 85 | Iraq_2223-85 | Babil | Sheep | 2015 |
| 26 | 96 | Iraq_2223-96 | Karbala | Sheep | 2017 |
| 27 | 98 | Iraq_2223-98 | Wasit | Sheep | 2015 |
| 28 | 100 | Iraq_2223-100 | Wasit | Sheep | 2015 |
| 29 | 102 | Iraq_2223-102 | Maysan | Cattle | 2016 |
| 30 | 106 | Iraq_2223-106 | Karbala | Sheep | 2016 |
| 31 | 108 | Iraq_2223-108 | Karbala | Sheep | 2015 |
| 32 | 114 | Iraq_2223-114 | Wasit | Cattle | 2015 |
| 33 | 117 | Iraq_2223-117 | Maysan | Cattle | 2015 |
| 34 | 121 | Iraq_2223-121 | Wasit | Sheep | 2015 |
| 35 | 122 | Iraq_2223-122 | Wasit | Cattle | 2015 |
| ID | Governorates | Host | MLVA -16 | MLVA profile | Cg MLST profile |
|---|---|---|---|---|---|
| 1 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 9 |
| 2 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-5-4-3-16-4 | 6 | 8 |
| 3 | Baghdad | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-6-4 | 11 | NA |
| 4 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 9 |
| 5 | Baghdad | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 5 |
| 6 | Maysan | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-16-4 | 2 | 11 |
| 7 | Wasit | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | 4 |
| 8 | Baghdad | Buffalo | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-9-4 | 12 | NA |
| 9 | Baghdad | Sheep | 1-5-3-13-3-2-3-2-4-40-8-5-4-3-14-4 | 5 | 1 |
| 10 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 7 |
| 11 | Diyala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | NA |
| 12 | Babil | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 6 |
| 13 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 9 |
| 14 | Wasit | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | NA |
| 15 | Wasit | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | 4 |
| 16 | Maysan | Cattle | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 9 |
| 17 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 6 |
| 18 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 7 |
| 19 | Baghdad | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-16-4 | 10 | 11 |
| 20 | Maysan | Cattle | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-14-4 | 8 | 3 |
| 21 | Babil | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | NA |
| 22 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-18-4 | 3 | NA |
| 23 | Baghdad | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 5 |
| 24 | Wasit | Cattle | 1-5-3-13-3-2-3-2-4-40-8-5-4-3-19-4 | 7 | 4 |
| 25 | Babil | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | NA |
| 26 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | NA |
| 27 | Wasit | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 10 |
| 28 | Wasit | Sheep | 1-5-3-13-3-2-3-2-4-40-8-8-4-3-15-4 | 9 | 9 |
| 29 | Maysan | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-15-4 | 1 | 9 |
| 30 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-5-4-3-16-4 | 6 | 8 |
| 31 | Karbala | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | NA |
| 32 | Wasit | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | NA |
| 33 | Maysan | Cattle | 1-5-3-13-3-2-3-2-4-40-8-5-4-3-14-4 | 5 | 2 |
| 34 | Wasit | Sheep | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | 4 |
| 35 | Wasit | Cattle | 1-5-3-13-3-2-3-2-4-40-8-4-4-3-19-4 | 4 | 4 |
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