| Literature DB >> 33030422 |
Anna Janowicz1, Fabrizio De Massis1, Katiuscia Zilli1, Massimo Ancora1, Manuela Tittarelli1, Flavio Sacchini1, Elisabetta Di Giannatale1, Jason W Sahl2, Jeffrey T Foster2, Giuliano Garofolo1.
Abstract
Ovine and caprine brucellosis, caused by Brucella melitensis, is one of the world's most widespread zoonoses and is a major cause of economic losses in domestic ruminant production. In Italy, the disease remains endemic in several southern provinces, despite an ongoing brucellosis eradication programme. In this study, we used whole-genome sequencing to detail the genetic diversity of circulating strains, and to examine the origins of the predominant sub-lineages of B. melitensis in Italy. We reconstructed a global phylogeny of B. melitensis, strengthened by 339 new whole-genome sequences, from Italian isolates collected from 2011 to 2018 as part of a national livestock surveillance programme. All Italian strains belonged to the West Mediterranean lineage, which further divided into two major clades that diverged roughly between the 5th and 7th centuries. We observed that Sicily serves as a brucellosis burden hotspot, giving rise to several distinct sub-lineages. More than 20 putative outbreak clusters of ovine and caprine brucellosis were identified, several of which persisted over the 8 year survey period despite an aggressive brucellosis eradication campaign. While the outbreaks in Central and Northern Italy were generally associated with introductions of single clones of B. melitensis and their subsequent dissemination within neighbouring territories, we observed weak geographical segregation of genotypes in the southern regions. Biovar determination, recommended in routine analysis of all Brucella strains by the World Organisation for Animal Health (OIE), could not discriminate among the four main global clades. This demonstrates a need for updating the guidelines used for monitoring B. melitensis transmission and spread, both at the national and international level, and to include whole-genome-based typing as the principal method for identification and tracing of brucellosis outbreaks.Entities:
Keywords: Brucella melitensis; WGS; brucellosis; molecular epidemiology
Year: 2020 PMID: 33030422 PMCID: PMC7725330 DOI: 10.1099/mgen.0.000446
Source DB: PubMed Journal: Microb Genom ISSN: 2057-5858
Fig. 1.Global phylogeny of . The ML tree was generated from an alignment of 15 041 concatenated SNPs from 499 genomes. The branch colours correspond to the four main lineages and the strain ID labels are shaded according to the assigned BAPS population. The two outside rings correspond to biovar and MLST genotype. The tree is mid-point rooted, and branches with bootstrap values between 0.99 and 1 are marked with a star. Bar, mean number of nucleotide substitutions per site.
Fig. 2.Time-structured phylogeny of a subset of 259 isolates of . The maximum clade creditability tree was built using concatenated SNP sequences. The mean node ages are shown for the major nodes together with the node heights and corresponding 95 % highest posterior density (HPD) intervals (in grey). The branches are coloured according to the lineage and the BAPS populations are highlighted with different colours as shown in the legend.
Fig. 3.MST generated for 317 Italian isolates of in the BAPS 4 population using the gene-by-gene approach. The MST was calculated by pairwise comparison of 2704 target genes with missing values ignored. Node labels correspond to strain isolation year and the branches to the number of discriminating loci. Complexes of genotypes within a distance of six alleles and containing a minimum of five isolates are numbered and depicted with different colours. Two main phylogenetic clusters are highlighted.
Fig. 4.MST generated for 123 Italian isolates of in the BAPS 5 population using the gene-by-gene approach. The MST was calculated by pairwise comparison of 2704 target genes with missing values ignored. Node labels correspond to strain isolation year and the branches to the number of discriminating loci. Complexes of genotypes within a distance of six alleles and containing a minimum of five isolates are numbered and depicted with different colours. Two main phylogenetic clusters are highlighted.
cgMLST complexes present in Italy between 2011 and 2018
|
Complex |
No. of isolates |
No. of genotypes |
No. of farms |
2011/2012 |
2013/2014 |
2015/2016 |
2017/2018 |
Host |
Region |
Maximum distance cgMLST |
|---|---|---|---|---|---|---|---|---|---|---|
|
1 |
44 |
22 |
31 |
x |
x |
x |
x |
Cattle, goat, sheep |
Calabria, Sicily |
17 |
|
2 |
46 |
21 |
24 |
x |
x |
x |
x |
Cattle, goat, human, sheep |
Abruzzi, Lazio, Molise, Sardinia, Sicily |
8 |
|
3 |
28 |
17 |
13 |
x |
x |
Cattle, goat, sheep |
Emilia Romagna, Sicily, Tuscany |
12 | ||
|
4 |
25 |
17 |
19 |
x |
x |
Cattle, goat, sheep |
Campania, Lazio, Apulia, Sicily |
19 | ||
|
5 |
24 |
15 |
14 |
x |
x |
x |
x |
Cattle, goat, sheep |
Sicily |
10 |
|
6 |
23 |
10 |
7 |
x |
x |
x |
Goat, sheep |
Calabria |
6 | |
|
7 |
14 |
10 |
9 |
x |
x |
x |
Cattle, goat, sheep |
Calabria, Sicily |
11 | |
|
8 |
14 |
9 |
9 |
x |
x |
x |
Cattle, goat, human, sheep |
Campania |
5 | |
|
9 |
10 |
9 |
7 |
x |
x |
Cattle, goat, sheep |
Sicily |
8 | ||
|
10 |
12 |
6 |
7 |
x |
x |
x |
x |
Goat, sheep |
Calabria, Sicily |
5 |
|
11 |
10 |
6 |
5 |
x |
x |
x |
Goat, sheep |
Calabria |
5 | |
|
12 |
9 |
6 |
7 |
x |
Sheep |
Sicily |
5 | |||
|
13 |
17 |
5 |
4 |
x |
x |
Cattle, goat, sheep |
Calabria |
6 | ||
|
14 |
13 |
5 |
10 |
x |
x |
Goat, sheep |
Sicily |
5 | ||
|
15 |
8 |
5 |
7 |
x |
x |
Cattle, goat, sheep |
Sicily |
8 | ||
|
16 |
7 |
5 |
7 |
x |
x |
x |
Goat, sheep |
Sicily |
7 | |
|
17 |
5 |
4 |
2 |
x |
x |
Goat, sheep |
Sicily |
4 | ||
|
18 |
7 |
3 |
7 |
x |
x |
x |
Cattle, goat, sheep |
Sicily |
3 | |
|
19 |
8 |
2 |
7 |
x |
Sheep |
Sicily |
1 | |||
|
20 |
6 |
2 |
4 |
x |
x |
x |
x |
Human, sheep |
Abruzzi, Apulia |
1 |
|
21 |
5 |
2 |
4 |
x |
x |
Cattle, goat, sheep |
Sicily |
1 |
Fig. 5.Geographical distribution of cgMLST complexes of in Italy. A set of 440 isolates was typed using cgMLST and the clusters of at least five genotypes placed within six gene distance from the nearest neighbour were grouped into complexes. The isolates were assigned to BAPS populations using hierBAPS. The BAPS 4 strains are shown in (a) and the BAPS 5 strains are shown in (b). The isolates are coloured according to the assigned complex, and the numbers of individual samples coloured according to the assigned complex and isolated in specified time period are shown under the maps.