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Erschienen in: Gut Pathogens 1/2021

Open Access 01.12.2021 | Research

Insights about the epidemiology of Salmonella Typhimurium isolates from different sources in Brazil using comparative genomics

verfasst von: Amanda Ap. Seribelli, Patrick da Silva, Marcelo Ferreira da Cruz, Fernanda de Almeida, Miliane R. Frazão, Marta I. C. Medeiros, Dália dos P. Rodrigues, Jalusa D. Kich, Leandro de Jesus Benevides, Siomar de C. Soares, Marc W. Allard, Juliana Pfrimer. Falcão

Erschienen in: Gut Pathogens | Ausgabe 1/2021

Abstract

Background

Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) is an important zoonotic agent worldwide. The aim of this work was to compare genetically 117 S. Typhimurium isolated from different sources over 30 years in Brazil using different genomics strategies.

Results

The majority of the 117 S. Typhimurium strains studied were grouped into a single cluster (≅ 90%) by the core genome multilocus sequence typing and (≅ 77%) by single copy marker genes. The phylogenetic analysis based on single nucleotide polymorphism (SNP) grouped most strains from humans into a single cluster (≅ 93%), while the strains isolated from food and swine were alocated into three clusters. The different orthologous protein clusters found for some S. Typhimurium isolated from humans and food are involved in metabolic and regulatory processes. For 26 isolates from swine the sequence types (ST) 19 and ST1921 were the most prevalent ones, and the ST14, ST64, ST516 and ST639 were also detected. Previous results typed the 91 S. Typhimurium isolates from humans and foods as ST19, ST313, ST1921, ST3343 and ST1649. The main prophages detected were: Gifsy-2 in 79 (67.5%) and Gifsy-1 in 63 (54%) strains. All of the S. Typhimurium isolates contained the acrA, acrB, macA, macB, mdtK, emrA, emrB, emrR and tolC efflux pump genes.

Conclusions

The phylogenetic trees grouped the majority of the S. Typhimurium isolates from humans into a single cluster suggesting that there is one prevalent subtype in Brazil. Regarding strains isolated from food and swine, the SNPs’ results suggested the circulation of more than one subtype over 30 years in this country. The orthologous protein clusters analysis revealed unique genes in the strains studied mainly related to bacterial metabolism. S. Typhimurium strains from swine showed greater diversity of STs and prophages in comparison to strains isolated from humans and foods. The pathogenic potential of S. Typhimurium strains was corroborated by the presence of exclusive prophages of this serovar involved in its virulence. The high number of resistance genes related to efflux pumps is worrying and may lead to therapeutic failures when clinical treatment is needed.
Hinweise

Publisher’s note

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Abkürzungen
NTS
Nontyphoidal Salmonella
CDC
Centers for Disease Control and Prevention
WGS
Whole genome sequencing
cgMLST
Core genome multilocus sequence typing
SNP
Single nucleotide polymorphism
ST
Sequence type
MLST
Multilocus sequence typing
MDR
Multidrug resistant
DNA
Deoxyribonucleic acid
WHO
World Health Organization
UniProt
Universal Protein Resource
FDA
Food and Drug Administration
PHASTER
PHAge Search Tool Enhanced Release
RGI
Resistance gene identifier
CARD
Comprehensive Antibiotic Resistance Database
IAL-RP
Adolfo Lutz Institute of Ribeirão Preto
FIOCRUZ-RJ
Oswaldo Cruz Foundation from Rio de Janeiro
EMBRAPA
Brazilian Agricultural Research Corporation

Background

Nontyphoidal Salmonella (NTS) strains have been an important enteric agent transmitted mainly by contaminated foods worldwide [1]. According to Kirk and collaborators [2], it was estimated that 153 million infections and 56,969 deaths occurred around the globe due to salmonellosis in 2010. Moreover, data from the Centers for Disease Control and Prevention (CDC), estimated that 1.35 million infections, 26,500 hospitalizations and 420 deaths occur in the United States every year due to Salmonella [3].
In Brazil, Salmonella has been the first or second most common foodborne pathogen isolated from outbreaks in recent years [4]. However, until now there are few published studies that have characterized the possible differences between Brazilian Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) strains isolated from human, food and animal sources by whole genome sequencing (WGS).
Salmonella Typhimurium is one of the main Salmonella generalist serovar, which has been isolated from pork in Europe, Oceania, Asia and North America, from poultry in North America and Oceania, from beef in Africa, Latin America and Europe, and from seafood in Europe [5]. Therefore, this serovar has been transmitted from animals and humans in different parts of the world and is characterized as a zoonotic agent causing losses of million of dollars for the pork, poultry and beef producing industry [1, 6].
According to the CDC, S. Typhimurium can also infect domestic pets and recently was responsible for an outbreak linked to contact with small pet turtles that affected 35 people from nine states and generated 11 hospitalizations [7].
WGS has been more accessible in the last few years and is used for molecular characterization studies [8]. Furthermore, different phylogenetic strategies can be performed after sequencing, such as construction of phylogenetic trees based on the core genome multilocus sequencing typing (cgMLST), from single copy marker genes and from single nucleotide polymorphism (SNPs), besides comparison and analysis of orthologous protein clusters (OrthoVenn) and verification of the sequence type (ST) through multilocus sequence typing (MLST) [911]. In addition, it has been possible to characterize the different prophages that contribute to Salmonella pathogenicity including identification of genes known to have functions such as virulence, metabolism and signaling [12].
It is important to emphasize that the monitoring of resistant NTS strains has been of great importance due to its continued emergence worldwide [13, 14]. According to Jajere, multidrug resistant (MDR) Salmonella has been a serious public health problem because it may lead to treatment failure when the uses of antimicrobial drugs are necessary [14]. In the United States, it was estimated that 212,500 infections and 70 deaths occur due to drug resistant NTS every year [13].
It is known that hundreds of genes can confer resistance to antibiotics in NTS and some were previously described for the S. Typhimurium strains isolated from humans and different foods in Brazil including genes related to resistance to aminoglycosides, tetracyclines, sulfonamides, trimethoprim, beta lactams, fluoroquinolones, phenicol and macrolides [15]. However, antibiotic resistance is multifactorial and little is known about resistance genes related to efflux pumps, which can be an important factor that confers resistance to some antibiotics, such as fluoroquinolones, beta lactams, macrolides and aminoglycosides [15, 16].
The aim of this work was to compare genetically S. Typhimurium isolates from humans, food and swine in Brazil from over 30 years using different genomics strategies, such as phylogenetic trees, protein orthologous clusters analysis, MLST, prophages and resistance genes related to efflux pump.

Results

cgMLST

The cgMLST grouped the 120 S. Typhimurium genomes studied, which included the three references analysed in two main groups designated A and B (Fig. 1). Cluster A comprised 12 genomes of ST19 isolated from humans. Cluster B comprised a total of 108 genomes comprising strains isolated from humans, different foods and swine of ST19, ST1649, ST3343, ST1921 and ST313 in the case of strains isolated from humans and food, besides ST19, ST639, ST14, ST516, ST64 and ST1921 concerning strains isolated from swine. All three references were allocated in Cluster B. The CFSAN033848 and CFSAN033855 genomes isolated from humans were genetically distinct and did not group closely to any other isolates.

Phylogenetic tree (ggTree) and orthologous protein clusters analysis

The ggTree grouped the 120 S. Typhimurium genomes studied, which included the three references analysed, in three groups designated A, B and C with cluster A subdivided in A.1 and A.2, cluster B subdivided in B.1 and B.2 (Fig. 2). Cluster A.1 comprised 84 genomes of ST19, ST1649, ST14, ST516, ST639, ST64, ST313, ST3343 and ST1921 isolated from humans, diverse foods and swine and the reference genomes. Cluster A.2 comprised nine genomes of ST19 isolated from humans, food and swine. Cluster B.1 comprised 20 genomes of ST19 from food and swine. Cluster B.2 comprised four genomes of ST19 isolated from human and food. Cluster C comprised three genomes of ST19 isolated from food and swine.
The orthologous protein clusters analysis was performed for the genomes that were more related to LT2, 14028S and D23580 references (Fig. 2). The comparisons indicated the orthologous protein clusters presented in the genomes of the strains of this study and absent in the references. The different unique orthologous protein clusters found are involved in metabolic and regulatory processes showed in detail in Table 1.
Table 1
Unique orthologous protein clusters in some selected S. Typhimurium strains in comparison to reference genomes
Groups
Biological processes (protein orthologous clusters)
LT2—STm07, STm12, STm16, STm19, STm20, STm21, STm22, STm24, STm25, STm26 and STm27 (Comparison 1)
Transposition (DNA-mediated), transposition, viral procapsid maturation, virion attachment to host cell, viral genome integration into host DNA, trehalose transport, DNA replication, viral capsid assembly, DNA binding, histidine catabolic process to glutamate and formate
LT2—STm01 and STm08 (Comparison 2)
Transposition (DNA-mediated), transposition, viral genome integration into host DNA, virion attachment to host cell, DNA replication, trehalose transport, DNA replication initiation, viral procapsid maturation, formate oxidation, DNA binding
LT2—STm04, STm09, STm10, STm11, STm13 and STm14 (Comparison 3)
Transposition (DNA-mediated), transposition, viral genome integration into host DNA, trehalose transport, histidine catabolic process to glutamate and formate
LT2—STm02, STm03 and STm05 (Comparison 4)
Transposition (DNA-mediated), transposition, viral procapsid maturation, viral genome integration into host DNA, trehalose transport, DNA replication, response to mercury ion, mercury ion transmembrane transporter activity, formate oxidation, DNA restriction-modification system
14028S—13,609/06, 6346/10, 9109/10, 9479/10, 948/12, 1103/12 and 1104/12 (Comparison 5)
Transposition (DNA-mediated), transposition, formate oxidation, trehalose transport, cell adhesion, DNA binding
D23580—STm29, STm30, STm34, STm35, STm37, STm39, STm40, STm44 and STm47 (Comparison 6)
Transposition (DNA-mediated), transposition, formate oxidation, trehalose transport, lyase activity, viral tail assembly, cell adhesion
D23580—STm29, STm30, STm34, STm35, STm36, STm37, STm39, STm40, STm44, STm47 and 3057/10 (Comparison 7)
Transposition (DNA-mediated), formate oxidation, trehalose transport, lyase activity, cell adhesion, metal ion binding

snpTree

The snpTree grouped the 120 S. Typhimurium genomes studied, which included the three references analysed, in three groups designated A, B and C (Fig. 3). Cluster A comprised 81 genomes of ST19, ST14, ST516, ST639, ST64, ST1649, ST313, ST3343 and ST1921 isolated from humans, food and swine, plus all three references. Cluster B comprised 28 genomes including one strain isolated from human and 27 strains isolated from different foods and swine of ST19. Cluster C comprised seven genomes including one strain isolated from human and six strains isolated from food of ST19. The CFSAN033890 genome isolated from human was genetically distinct and did not group closely to any other isolates.

MLST

Of the 26 S. Typhimurium strains isolated from swine studied, 16 (61.5%) belonged to the ST19, three (11.5%) to the ST1921, two (7.6%) to the ST14, two (7.6%) to the ST64, one (3.8%) to the ST516, one (3.8%) to the ST639 and one isolate did not match any known ST type. The 91 S. Typhimurium isolates from humans and foods were previously typed and the ST19 (84.6%) was the most prevalent, followed by the ST313 (9.9%), ST1921 (2.2%), ST3343 (2.2%) and ST1649 (1.1%) as described in Almeida et al. [19].

Prophages detection

The Gifsy-2 prophage was detected in 79 (67.5%) S. Typhimurium isolates, Gifsy-1 in 63 (54%), Salmon 118970_sal3 in 46 (39%) and Haemop—HP1 in 21 (18%). Two dozen other prophages were also detected in the genomes studied and are described in detail in Table 2.
Table 2
Proportion of intact prophages detected in the 117 Salmonella Typhimurium studied isolated in Brazil
Prophages
Humans (n = 43) (%)
Foods (n = 48) (%)
Swine (n = 26) (%)
Aeromo_phiO18P
Not detected
01/48 (2.1)
01/26 (3.8)
Burkho_BcepMu
Not detected
01/48 (2.1)
Not detected
Edward_GF_2
02/43 (4.6)
06/48 (12.5)
Not detected
Entero_186
01/43 (2.3)
01/48 (2.1)
01/26 (3.8)
Entero_BP_4795
01/43 (2.3)
Not detected
Not detected
Entero_fiAA91_ss
Not detected
Not detected
06/26 (23.1)
Entero_mEp235
Not detected
Not detected
01/26 (3.8)
Entero_N15
03/43 (7)
Not detected
Not detected
Entero_P22
03/43 (7)
Not detected
Not detected
Entero_Tyrion
01/43 (2.3)
Not detected
Not detected
Entero_UAB_Phi20
05/43 (11.6)
Not detected
Not detected
Escher_RCS47
Not detected
Not detected
02/26 (7.7)
Gifsy_1
10/43 (23)
34/48 (71)
19/26 (73)
Gifsy_2
37/43 (86)
33/48 (68.7)
09/26 (34.6)
Haemop_HP1
18/43 (41.9)
Not detected
03/26 (11.5)
Salmon_118970_sal3
25/43 (58.1)
15/48 (31.2)
06/26 (23.1)
Salmon_118970_sal4
01/43 (2.3)
Not detected
Not detected
Salmon_epsilon34
Not detected
Not detected
01/26 (3.8)
Salmon_Fels_1
Not detected
01/48 (2.1)
Not detected
Salmon_Fels_2
04/43 (9.3)
01/48 (2.1)
04/26 (15.4)
Salmon_RE_2010
07/43 (16.3)
02/48 (4.2)
01/26 (3.8)
Salmon_SEN34
Not detected
Not detected
01/26 (3.8)
Salmon_SP_004
01/43 (2.3)
04/48 (8.3)
01/26 (3.8)
Salmon_SPN1S
17/43 (39.5)
Not detected
Not detected
Salmon_SPN3UB
Not detected
Not detected
02/26 (7.7)
Salmon_SPN9CC
Not detected
03/48 (6.2)
Not detected
Salmon_SSU5
Not detected
02/48 (4.2)
01/26 (3.8)
Salmon_ST64T
01/43 (2.3)
02/48 (4.2)
Not detected
Shigel_Sfll
Not detected
01/48 (2.1)
01/26 (3.8)

Efflux pumps

The acrA, acrB, macA, macB, mdtK, emrA, emrB, emrR and tolC genes were detected in the 117 (100%) S. Typhimurium studied. The mdsA and mdsB genes were detected in 91 (100%) S. Typhimurium isolates from humans and different foods, but in only 18 (69.2%) S. Typhimurium isolates from swine. The mdfA gene was detected in 26 (100%) isolates from swine, 39 (81.2%) isolates from food and 18 (42%) isolates from humans. Finally, the cmlA1 gene was detected only in isolates from swine 05 (19.2%). The percentage of query cover and identity for all genes ranged between 72 and 100 and 87–100, respectively (Table 3).
Table 3
Frequencies of resistance genes related to efflux pumps in the 117 Salmonella Typhimurium studied
Genes
Humans (n = 43) (query cover %) (identity %)
Food (n = 48) (query cover %) (identity %)
Swine (n = 26) (query cover %) (identity %)
acrA
43/43 (100) (91.69)
48/48 (100) (91.69)
26/26 (100) (91.69)
acrB
43/43 (100) (94.66)
48/48 (100) (94.66)
26/26 (100) (94.66)
macA
43/43 (100) (88.65–88.84)
48/48 (100) (88.65–88.84)
26/26 (100) (88.39–88.84)
macB
43/43 (100) (88.60–88.70)
48/48 (100) (88.70)
26/26 (100) (88.29–88.70)
mdtK
43/43 (100) (99.79)
48/48 (100) (99.79)
26/26 (100) (99.16–99.79)
emrA
43/43 (100) (99.92–100)
48/48 (100) (100)
26/26 (72–100) (98.40–100)
emrB
43/43 (100) (95.7)
48/48 (100) (95.7)
26/26 (99.80–100) (95.7)
emrR
43/43 (100) (93.14)
48/48 (100) (93.14)
26/26 (100) (93.14)
tolC
43/43 (99–100) (100)
48/48 (100) (100)
26/26 (100) (98.78–100)
mdsA
43/43 (100) (99.75–100)
48/48 (100) (100)
18/26 (100) (100)
mdsB
43/43 (100) (100)
48/48 (100) (100)
18/26 (100) (100)
mdfA
18/43 (100) (87.93)
39/48 (100) (87.93)
26/26 (100) (87.93)
cmlA1
Not detected
Not detected
05/26 (100) (99.76)

Discussion

In this study, 117 S. Typhimurium isolates from humans (n = 43), food (n = 48) and swine (n = 26) in Brazil were compared using genomic analyses, such as phylogenetic trees, orthologous protein clusters detection, MLST analysis, and blast identification of prophages and resistance genes related to efflux pumps.
The majority of the 117 S. Typhimurium strains studied were grouped into a single cluster (≅ 90%) by the core genome multilocus sequence typing and (≅ 77%) by single copy marker genes (Figs. 1 and 2). The phylogenetic analysis based on single nucleotide polymorphism (SNPs) grouped most strains from humans into a single cluster (≅ 93%), while the strains isolated from food and swine were grouped into three clusters (Fig. 3). Therefore, snpTree was more efficient at discriminating S. Typhimurium isolates from swine and different foods in Brazil.
It is important to mention that the present study provided additional information about S. Typhimurium strains isolated from humans, food and swine in Brazil because such strains have rarely been studied in a one health perspective combining all available data [15, 1719].
Previous studies performed by our research group using different molecular typing techniques (PFGE, MLVA and CRISPR-MVLST) and a SNP-based tree by the CFSAN pipeline corroborated with the finding of snpTree by CSI Phylogeny 1.4. indicating the possible presence of a prevalent subtype for S. Typhimurium strains isolated from humans and with more than one circulating subtype for strains isolated from food [15, 1719].
According to Jensen, homologous genes can be divided into orthologous and paralogs genes [20]. Orthologous genes originated from a common ancestor during speciation events and keep the same function, while, paralogs genes originated from duplication events and do not maintain the same function [21].
Therefore, the OrthoVenn2 is a web server capable to annotate and compare orthologous protein clusters from the whole genome among different species [21]. In the present study, S. Typhimurium genomes were compared to LT2, 14028S and D23580 references and had their unique protein orthologous clusters determined (Fig. 2). All S. Typhimurium isolates compared to LT2 (Comparisons 1, 2, 3 and 4) were composed of ST19 isolated from humans in the São Paulo State before the 1990s. There were some unique orthologous protein clusters, including transposition (DNA-mediated), transposition, viral genome integration into host DNA and Trehalose transport that were commonly present in these strains, but absent in the corresponding LT2 reference strain. The S. Typhimurium isolates compared to 14028S contained ST19 strains isolated from food in the Rio Grande do Sul, Santa Catarina and Bahia States between 2006 and 2012 (Comparison 5). The S. Typhimurium isolates compared to D23580 contained ST313 and ST19 strains isolated from humans and food in the São Paulo and Paraná States between 1995 and 2010 (Comparisons 6 and 7).
The different orthologous protein clusters found are involved in metabolic and regulatory processes, such as transposition, DNA replication, cell adhesion, formate oxidation, trehalose transport, lyase activity and response to mercury ion. These results showed that despite being of the same serovar there are unique orthologous protein clusters in the strains studied in comparison to the reference strains which were maintained in these S. Typhimurium strains during natural selection and adaptation (Table 1).
In this study, MLST was performed only for swine isolates, because the STs for humans and food isolates were previously described by Almeida et al. [22]. Of the 26 S. Typhimurium strains isolated from swine studied, 16 (61.5%) belonged to the ST19, three (11.5%) to the ST1921, two (7.6%) to the ST14, two (7.6%) to the ST64, one (3.8%) to the ST516, one (3.8%) to the ST639 and one did not have its ST detected.
Previous works showed that the ST19 was the most common ST found for strains of human and food origins, with ST313 being the second most prevalent and ST1921, ST3343 and ST1649 were also detected among these strains [22]. S. Typhimurium isolates from swine showed greater diversity in the seven housekeeping genes studied despite having a lower number of strains (n = 26) in comparison to the number of S. Typhimurium strains isolated from humans (n = 43) and food (n = 48). ST19 was the most commonly observed in swine, with ST1921 the second most prevalent and with ST14, ST64, ST516 and ST639 also observed.
For ST19 it has been reported 29,572 Salmonella isolated from human, reptile, ovine, swine, poultry, food and bovine from France, Mexico, China, Germany, Scotland, Portugal, Qatar, Korea, Ireland, United States (US), United Kingdom (UK) and Denmark according to the Enterobase (12/15/2020). The ST313 has been linked to 3049 samples isolated predominantly from humans in Kenya, Ethiopia, Zimbabwe, Malawi, Mali and Nigeria [10].
Moreover, ST1649, ST3343 and ST1921 were found for 16, 4 and 7 strains respectively, isolated from humans, livestocks, food and swine in Venezuela, Ireland, US, UK, Colombia, Ecuador, Vietnam and Brazil [10]. Finally, ST516, ST64, ST639 and ST14 were linked to 370, 3850, 237 and 2149 strains respectively, isolated from humans, poultry, food, aquatic animals, reptiles and the environment in the US, Mexico, Senegal, Germany, Portugal, Qatar, Canada, UK, India, Ghana, Thailand, Malaysia, Malta, Vietnam, Pakistan, Greece, France, Germany, China, Denmark, Scotland, Norway and South Korea [10].
It is important to emphasize that the classic MLST sequencing scheme uses only seven housekeeping genes to determine a sequence type (ST) from the nucleotides differences found in the sequences of all alleles [23]. Furthermore, cgMLST focuses on the nucleotide differences between the set of 3002 conserved genes of Salmonella genus [10]. It is known that the ST19 has been more prevalent in S. Typhimurium strains which causes predominantly gastroenteritis worldwide, suggesting that in the tree based on cgMLST there is a greater diversity in the 3002 conserved genes because S. Typhimurium strains isolated from humans of this ST were found in the cluster A and B (Fig. 1).
In the present study, the Gifsy-2 prophage was detected in 79 (67.5%) S. Typhimurium isolates, Gifsy-1 in 63 (54%), Salmon 118970_sal3 in 46 (39%) and Haemop—HP1 in 21 (18%). Specifically, Gifsy-1 prophage was detected in 10 (23%) S. Typhimurium strains isolated from humans, 34 (71%) strains isolated from different foods and in 19 (73%) strains isolated from swine (Table 2). Gifsy-2 prophage was detected in 37 (86%) S. Typhimurium strains isolated from humans, 33 (68.7%) strains isolated from foods and 9 (34.6%) strains isolated from swine (Table 2).
It is important to be mentioned that Gifsy prophages carry genes that are related to virulence of S. Typhimurium in the host [24, 25]. The Gifsy-1 prophage encodes three genes involved in the intracellular survival of Salmonella spp. in the host, denominated gogB (leucine-rich repeat protein), sarA (anti-inflammatory response activator) and pagK2. In the same way, the Gifsy-2 prophage encodes a superoxide dismutase (sodC1) that contributes to the survival of Salmonella spp. destroying the toxic radicals of the host macrophages [12, 26]. It is important to emphasize that Gifsy prophages have been found only in S. Typhimurium strains, as well as the Fels-1 and Fels-2 prophages [25]. In the present study, Fels prophages were detected in four S. Typhimurium strains isolated from humans, two strains isolated from food and four strains isolated from swine (Table 2).
According to Brussow et al. [27], the Fels-1 prophage encodes the sodCIII and nanH genes related to the production of superoxide dismutase and neuraminidase in S. Typhimurium, respectively. Furthermore, the Fels-2 prophage carries genes that are apparently related to regulation and adhesion of S. Typhimurium to host cells [12].
The Gifsy and Fels prophages have already been described in S. Typhimurium isolated in various parts of the world, such as Australia, Europe, China, among others [2830]. It is important to emphasize that other prophages were also found in the S. Typhimurium strains studied including Salmon 118970_sal3 and Haemop—HP1 (Table 2). Moreover, two dozen other prophages were detected in the S. Typhimurium strains studied, but there is less information about them related to pathogenicity and/or virulence of this serovar (Table 2).
In addition, S. Typhimurium isolates from swine showed 6 (23.1%) unique prophages despite having a lower number of strains analysed (n = 26) in comparison to S. Typhimurium strains isolated humans (n = 43) and food (n = 48) that presented 7 (16.3%) and 3 (6.25%) unique prophages, respectively, suggesting the greater diversity in these mobile genetic element for S. Typhimurium strains isolated from swine in Brazil (Table 2).
Resistance to multiple drugs in bacteria has been a serious public health problem worldwide [31]. It is known that there are four main mechanisms that can cause this resistance, such as target alteration, drug inactivation, decreased permeability and drug expulsion through the production of efflux pumps [32].
In the present study, the acrA, acrB, macA, macB, mdtK, emrA, emrB, emrR, tolC, mdsA, mdsB, mdfA and cmlA1 genes were detected among the S. Typhimurium strains isolated from humans, food and swine. All of the isolates contained the acrA, acrB, macA, macB, mdtK, emrA, emrB, emrR and tolC genes (Table 3). Other genes related to production efflux pump, such as oqxAB and floR were previously reported in [15].
The AcrAB efflux system has been described as responsible for the intrinsic resistance to many antibiotics that can be used in medical practice for the treatment of S. Typhimurium, such as fluoroquinolones and beta-lactams [16]. According to the World Health Organization (WHO), Salmonella spp. was described as a high priority category pathogen in fluoroquinolones resistance of the Global Priority Pathogens List [31].
The macA and macB genes encode proteins that characterize an efflux pump related to macrolides resistance [33, 34]. According to the Universal Protein Resource (UniProt), the mdtK, emrA, emrB, emrR, mdsA, mdsB, mdfA and cmlA1 genes encode mainly proteins involved in multidrug efflux transporter and confers resistance to different antibiotics, such as aminoglycosides, tetracyclines, novobiocin, nalidixic acid, chloramphenicol and norfloxacin [34, 35]. Furthermore, the tolC gene has been described as important for the formation of some multidrug efflux systems (AcrAB, MacAB, EmrAB and MdsAB) in S. Typhimurium [35].

Conclusions

The phylogenetic trees grouped the majority of the S. Typhimurium isolates from humans into a single cluster suggesting that there is one prevalent subtype in Brazil. Regarding strains isolated from food and swine, the results by SNPs analysis suggested the circulation of more than one subtype over 30 years in this country. The orthologous protein clusters analysis revealed unique genes in the strains studied mainly related to bacterial metabolism. S. Typhimurium isolates from swine showed greater diversity of STs and prophages in comparison to S. Typhimurium strains isolated from humans and food. The pathogenic potential of S. Typhimurium strains was corroborated by the presence of exclusive prophages of this serovar involved in their virulence. The high number of resistance genes related to efflux pump is worrying and may cause therapeutic failures when clinical treatment is needed. Altogether, this study provided relevant data on the genomic characterization of S. Typhimurium strains isolated from different sources in Brazil using WGS.

Methods

Bacterial strains

A total of 117 S. Typhimurium strains isolated from humans (43), food (48) and swine (26) between 1983 and 2013 in Brazil were studied (Table 4). These strains were selected from the collections of the Adolfo Lutz Institute of Ribeirão Preto (IAL-RP), of the Oswaldo Cruz Foundation from Rio de Janeiro (FIOCRUZ-RJ) and of the Brazilian Agricultural Research Corporation (EMBRAPA).
Table 4
Characteristics of the 117 Salmonella Typhimurium strains studied isolated from different sources in Brazil
CFSAN nº
Isolate name
Source
State
Year of isolation
Sequence type (ST)
CFSAN033848
STm01
Human feces
SP
1983
19
CFSAN033849
STm02
Human feces
SP
1983
19
CFSAN033850
STm03
Human feces
SP
1983
19
CFSAN033851
STm04
Human feces
SP
1983
19
CFSAN033852
STm05
Human feces
SP
1983
19
CFSAN033853
STm06
Human feces
SP
1983
1649
CFSAN033854
STm07
Human feces
SP
1983
19
CFSAN033855
STm08
Human feces
SP
1983
19
CFSAN033856
STm09
Human feces
SP
1984
19
CFSAN033857
STm10
Human feces
SP
1984
19
CFSAN033858
STm11
Human feces
SP
1984
19
CFSAN033859
STm12
Human feces
SP
1984
19
CFSAN033860
STm13
Human feces
SP
1984
19
CFSAN033861
STm14
Human feces
SP
1984
19
CFSAN033862
STm15
Human feces
SP
1985
3343
CFSAN033863
STm16
Human feces
SP
1985
19
CFSAN033864
STm17
Human feces
SP
1985
19
CFSAN033865
STm18
Human feces
SP
1985
19
CFSAN033866
STm19
Human feces
SP
1986
19
CFSAN033867
STm20
Human feces
SP
1986
19
CFSAN033868
STm21
Human feces
SP
1986
19
CFSAN033869
STm22
Human feces
SP
1986
19
CFSAN033870
STm23
Human feces
SP
1986
19
CFSAN033871
STm24
Human feces
SP
1986
19
CFSAN033872
STm25
Human feces
SP
1986
19
CFSAN033873
STm26
Human feces
SP
1986
19
CFSAN033874
STm27
Human feces
SP
1986
19
CFSAN033875
STm28
Human feces
SP
1988
3343
CFSAN033876
STm29
Human feces
SP
1989
313
CFSAN033877
STm30
Human feces
SP
1990
313
CFSAN033878
STm31
Human feces
SP
1991
19
CFSAN033879
STm32
Human feces
SP
1992
19
CFSAN033880
STm33
Human feces
SP
1992
19
CFSAN033881
STm34
Human feces
SP
1993
313
CFSAN033882
STm35
Human feces
SP
1995
313
CFSAN033883
STm36
Cold chicken
SP
1995
19
CFSAN033884
STm37
Raw pork sausage
SP
1996
313
CFSAN033885
STm38
Human feces
SP
1997
19
CFSAN033886
STm39
Human feces
SP
1998
313
CFSAN033887
STm40
Lettuce
SP
1998
313
CFSAN033888
STm41
Raw kafta
SP
1998
19
CFSAN033889
STm42
Human feces
SP
1999
19
CFSAN033890
STm43
Human feces
SP
2000
19
CFSAN033891
STm44
Blood
SP
2000
313
CFSAN033892
STm45
Raw pork sausage
SP
2000
19
CFSAN033893
STm46
Raw tuscan sausage
SP
2002
19
CFSAN033894
STm47
Human feces
SP
2003
313
CFSAN033895
STm48
Brain abscess
SP
2005
19
CFSAN033896
STm49
Human feces
SP
2010
19
CFSAN033897
702/99
Final product
SC
1999
19
CFSAN033898
12,288/06
Swine
SC
2006
19
CFSAN033899
12,278/06
Swine
SC
2006
19
CFSAN033900
12,290/06
Swine
SC
2006
19
CFSAN033901
12,268/06
Swine
SC
2006
19
CFSAN033902
12,381/06
Swine
SC
2006
19
CFSAN033903
5936/06
Cold chicken
SC
2006
19
CFSAN033904
5937/06
Cold chicken
SC
2006
19
CFSAN033905
5934/06
Swine
SC
2006
19
CFSAN033906
5961/06
Swine
SC
2006
19
CFSAN033907
5962/06
Swine
SC
2006
19
CFSAN033908
5929/06
Poultry
SC
2006
19
CFSAN033909
13,609/06
Poultry
SC
2006
19
CFSAN033910
3848/08
Food
SC
2008
19
CFSAN033911
16,238/09
Ready-to-eat dish
MS
2009
19
CFSAN033912
16,239/09
Ready-to-eat dish
MS
2009
19
CFSAN033913
16,240/09
Ready-to-eat dish
MS
2009
19
CFSAN033914
16,202/09
Industrialized product
RS
2009
19
CFSAN033915
16,251/09
Industrialized product
GO
2009
19
CFSAN033916
16,273/09
Industrialized product
GO
2009
19
CFSAN033917
17,307/09
Industrialized product
2009
19
CFSAN033918
9461/10
In natura meat
SC
2010
19
CFSAN033919
9479/10
In natura meat
SC
2010
19
CFSAN033920
7032/10
Poultry
PR
2010
19
CFSAN033921
3057/10
Frozen chicken carcass
PR
2010
19
CFSAN033922
6346/10
Chicken
SP
2010
19
CFSAN033923
5635/10
Unknown
RS
2010
19
CFSAN033924
9109/10
Swine
PR
2010
19
CFSAN033925
426/10
Chicken
SC
2010
19
CFSAN033926
447/10
Chicken
SC
2010
19
CFSAN033927
2452/11
Frozen chicken carcass
SP
2011
19
CFSAN033928
6709/11
Cold chicken
RS
2011
19
CFSAN033929
948/12
Raw salad
BA
2012
19
CFSAN033930
1103/12
Swine (homemade salami)
RS
2012
19
CFSAN033931
1104/12
Swine (homemade salami)
RS
2012
19
CFSAN033932
3330/12
Roast beef
SC
2012
19
CFSAN033933
994/13
Final product sales (animal origin)
SP
2013
19
CFSAN033934
374/13
Final product sales (animal origin)
SC
2013
19
CFSAN033935
465/13
Final product sales (animal origin)
SP
2013
19
CFSAN033937
622/13
Final product sales (animal origin)
SC
2013
1921
CFSAN033938
583/13
Final product sales (animal origin)
SC
2013
19
CFSAN033939
623/13
Final product sales (animal origin)
SC
2013
1921
CFSAN068033
739
Mesenteric lymph node
SC
2000
19
CFSAN034668
1030
Swine feces
SC
2003
19
CFSAN068028
22
Inguinal lymph node
SC
2004
516
CFSAN034669
29
Swine feces
SC
2004
639
CFSAN034670
51
Swab swine carcass
SC
2004
14
CFSAN034671
68
Swine feces
SC
2004
14
CFSAN068029
58
Swine faeces
SC
2004
19
CFSAN068040
1212
Mesenteric lymph node
SC
2005
19
CFSAN068043
1218
Mesenteric lymph node
SC
2005
19
CFSAN068044
1220
Mesenteric lymph node
SC
2005
19
CFSAN068045
1221
Mesenteric lymph node
SC
2005
19
CFSAN068046
1222
Mesenteric lymph node
SC
2005
19
CFSAN068047
1224
Mesenteric lymph node
SC
2005
19
CFSAN068031
343
Herd environment
SC
2006
19
CFSAN068042
1214
Herd environment
SC
2006
19
CFSAN068041
1213
Herd environment
SC
2007
19
CFSAN068030
338
Swine faeces
SC
2008
19
CFSAN068032
345
Swine faeces
SC
2008
19
CFSAN068034
812
Swine urine
SC
2011
1921
CFSAN068035
824
Swine urine
SC
2011
1921
CFSAN068036
1206
Swab drag
SC
2011
19
CFSAN034672
804
Swine urine
SC
2011
1921
CFSAN034673
1209
Swab feeder
SC
2011
Unknown
CFSAN068037
1207
Swab carcass
SC
2012
19
CFSAN068038
1210
Swab carcass
SC
2012
64
CFSAN068039
1211
Swab carcass
SC
2012
64
SP São Paulo, SC Santa Catarina, MS Mato Grosso, RS Rio Grande do Sul, GO Goiás, PR Paraná, BA Bahia

Whole genome sequencing

The DNA of the 117 S. Typhimurium strains was extracted according to Campioni and Falcão using phenol-chloroform-isoamyl alcohol method [36]. Libraries were prepared using 1 ng of genomic DNA with the Nextera XT DNA library preparation kit (Illumina, San Diego, CA, USA) and the genomes were sequenced using the NextSeq 500 desktop sequencer with the NextSeq 500/500 high-output version 2 kit (Illumina) for 2 × 151 cycles according to the manufacturer’s instructions at the U.S. Food and Drug Administration (FDA), College Park, Maryland, USA. The genomes were assembled using the software SPAdes and CLC Genomics Workbench version 10.0.1 [37] and the quality of the assemblies were evaluated using the software QUAST [38]. The genomes ranged from 4.6 to 5.1 Mb in size, as described for other Salmonella strains [39]. Sequencing generated an average G+C content of 52.04%, which is similar to that reported previously for other Salmonella isolates [40]. The number of contigs per assembly for each isolate ranged between 47 and 827. Finally, the coverage (×) ranged from 13× to 753×. Detailed information on the sequencing of the 117 S. Typhimurium genomes can be found in Almeida et al. and Seribelli et al. [41, 42].

cgMLST

The cgMLSTFinder 1.1 analysis was determined from a set of reads for all 117 S. Typhimurium genomes and three different references of this serovar were chosen, which included LT2, 14028S and D23580 and compared using the services of the center for genomic epidemiology for Salmonella (Enterobase) available at https://​cge.​cbs.​dtu.​dk/​services/​cgMLSTFinder/​ [10].

Phylogenetic tree (ggTree) and orthologous protein clusters analysis

Three different references of S. Typhimurium serovar were chosen, which included LT2 (GCF_000006945), 14028S (GCF_000022165) and D23580 (GCF_900538085), all with fully closed deposited genomes. To evaluate the evolutionary distance between the sequenced genomes and the three reference strains, a neighbor-joining tree was built with the ezTree algorithm [11] and ggTree R package [43, 44] (Fig. 2). The ezTree has been described as an automated pipeline based in the single copy marker genes identification to construct a phylogenetic tree for a set of input genomes [11]. Additional characterization of the orthologous protein clusters for some of the key S. Typhimurium strains were performed. The phylogroups selected included: Comparison 1—LT2 with 11 genomes (CFSAN033873, CFSAN033871, CFSAN033874, CFSAN033859, CFSAN033869, CFSAN033872, CFSAN033863, CFSAN033854, CFSAN033867, CFSAN033866 and CFSAN033868); Comparison 2—LT2 with two genomes (CFSAN033855 and CFSAN033848); Comparison 3—LT2 with six genomes (CFSAN033856, CFSAN033860, CFSAN033861, CFSAN033857, CFSAN033858 and CFSAN033851); Comparison 4—LT2 with three genomes (CFSAN033852, CFSAN033849 and CFSAN033850); Comparison 5—14028S with seven genomes (CFSAN033930, CFSAN033931, CFSAN033919, CFSAN033924, CFSAN033922, CFSAN033929 and CFSAN033909); Comparison 6—D23580 with nine genomes (CFSAN033882, CFSAN033877, CFSAN033887, CFSAN033886, CFSAN033876, CFSAN033881, CFSAN033894, CFSAN033891 and CFSAN033884); Comparison 7—D23580 with 11 genomes (CFSAN033882, CFSAN033877, CFSAN033887, CFSAN033886, CFSAN033876, CFSAN033881, CFSAN033894, CFSAN033891, CFSAN033884, CFSAN033921 and CFSAN033883) via OrthoVenn2 [21] in order to determine unique features and metabolic pathways defining each group.

SNP tree

The phylogenetic tree based on SNPs of the whole genome sequencing was performed by CSI Phylogeny 1.4 (Call SNPs & Infer Phylogeny) of the Center for Genomic Epidemiology at https://​cge.​cbs.​dtu.​dk/​services/​CSIPhylogeny/​—following the parameters: select min. depth at SNP positions 10×, select min. relative depth at SNP positions 10%, select minimum distance between SNPs (prune) 10 bp, select min. SNP quality 30, select min. read mapping quality 25 and select min. Z-score 1.96 [45]. The SNPs matrix included was a maximum of 30,873 SNPs among all S. Typhimurium strains studied.

Multilocus sequence typing (MLST)

MLST was performed in the present study for the 26 S. Typhimurium isolates from swine using the MLST 2.0 of the Center for Genomic Epidemiology for Salmonella enterica available in https://​cge.​cbs.​dtu.​dk/​services/​MLST/​ [46]. The seven housekeeping genes included: aroC, dnaN, hemD, hisD, purE, sucA and thrA [23, 46]. The STs of the S. Typhimurium isolates from humans and different foods were previously described in Almeida et al. [22] and were performed in the same way as described above.

Prophages detection

The genomes of all 117 S. Typhimurium strains were used to search the prophages by PHAge Search Tool Enhanced Release (PHASTER) that is an online platform for the rapid identification and annotation of prophages sequences in bacterial genomes and plasmids available in http://​phaster.​ca/​ [47].

Efflux pumps

The genomes of all 117 S. Typhimurium strains were used to search for resistance genes related to efflux pump. Resistance gene identifier (RGI) is part of the Comprehensive Antibiotic Resistance Database (CARD) and was performed with high quality/coverage (includes contigs > 20,000 bp and excludes prediction of partial genes). Software is available at https://​card.​mcmaster.​ca/​analyze/​rgi [48].

Acknowledgements

Not applicable.

Declarations

Not applicable.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Literatur
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Zurück zum Zitat Shivani C, Abha K, Alka G, Sampat N. Comparative genome analysis of three pathogenic strains of E. coli, Salmonella and Shigella. IJSRR. 2015;4(1):68–80. Shivani C, Abha K, Alka G, Sampat N. Comparative genome analysis of three pathogenic strains of E. coli, Salmonella and Shigella. IJSRR. 2015;4(1):68–80.
Metadaten
Titel
Insights about the epidemiology of Salmonella Typhimurium isolates from different sources in Brazil using comparative genomics
verfasst von
Amanda Ap. Seribelli
Patrick da Silva
Marcelo Ferreira da Cruz
Fernanda de Almeida
Miliane R. Frazão
Marta I. C. Medeiros
Dália dos P. Rodrigues
Jalusa D. Kich
Leandro de Jesus Benevides
Siomar de C. Soares
Marc W. Allard
Juliana Pfrimer. Falcão
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
Gut Pathogens / Ausgabe 1/2021
Elektronische ISSN: 1757-4749
DOI
https://doi.org/10.1186/s13099-021-00423-7

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