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. 2017 Mar 16;17:216. doi: 10.1186/s12879-017-2320-1

Imported arboviral infections in Italy, July 2014-October 2015: a National Reference Laboratory report

Claudia Fortuna 1,#, Maria Elena Remoli 1,#, Caterina Rizzo 2, Eleonora Benedetti 1, Cristiano Fiorentini 1, Antonino Bella 2, Claudio Argentini 1, Francesca Farchi 1, Concetta Castilletti 3, Maria Rosaria Capobianchi 3, Lorenzo Zammarchi 4, Alessandro Bartoloni 5, Nadia Zanchetta 6, Maria Rita Gismondo 6, Luca Ceccherini Nelli 7, Giustina Vitale 8, Franco Baldelli 9, Pierlanfranco D’Agaro 10,11, Giuseppe Sodano 12, Giovanni Rezza 1; the Arbovirus Working Group, Giulietta Venturi 1,
PMCID: PMC5356298  PMID: 28302072

Abstract

Background

Imported cases of infections due to Dengue (DENV) and Chikungunya (CHIKV) viruses and, more recently, Zika virus (ZIKV) are commonly reported among travelers returning from endemic regions. In areas where potentially competent vectors are present, the risk of autochthonous transmission of these vector-borne pathogens is relatively high. Laboratory surveillance is crucial to rapidly detect imported cases in order to reduce the risk of transmission. This study describes the laboratory activity performed by the National Reference Laboratory for Arboviruses (NRLA) at the Italian National Institute of Health in the period from July 2014 to October 2015.

Methods

Samples from 180 patients visited/hospitalized with a suspected DENV/CHIKV/ZIKV infection were sent to the NRLA from several Italian Hospitals and from Regional Reference Laboratories for Arboviruses, in agreement with the National Plan on human surveillance of vector-borne diseases. Both serological (ELISA IgM test and Plaque Reduction Neutralization Test—PRNT) and molecular assays (Real Time PCR tests, RT-PCR plus nested PCR and sequencing of positive samples) were performed.

Results

DENV infection was the most frequently diagnosed (80 confirmed/probable cases), and all four genotypes were detected. However, an increase in imported CHIKV cases (41 confirmed/probable cases) was observed, along with the detection of the first ZIKV cases (4 confirmed cases), as a consequence of the recent spread of both CHIKV and ZIKV in the Americas.

Conclusions

Main diagnostic issues highlighted in our study are sensitivity limitations of molecular tests, and the importance of PRNT to confirm serological results for differential diagnosis of Arboviruses. The continuous evaluation of diagnostic strategy, and the implementation of laboratories networks involved in surveillance activities is essential to ensure correct diagnosis, and to improve the preparedness for a rapid and proper identification of viral threats.

Background

Vector-borne viral diseases cause a substantial public health burden in tropical and sub-tropical regions. Their geographic distribution is expanding, due to many and complex factors, such as urbanization, climate change, land-use changes, human mobility, and vector range expansion [1].

The Dengue virus (DENV) is a flavivirus (family Flaviviridae) transmitted to humans through Aedes (Ae.) spp mosquito bite. Dengue fever is typically characterized by fever, myalgia, arthralgia, rash, and sometimes severe and life-threatening clinical symptoms. Dengue global incidence has increased 30-fold in the last 50 years [2], and areas with predominant circulation of a single DENV serotype have changed toward co-circulation of different virus serotypes [3]. During the past decade, additional mosquito-borne viruses, including Chikungunya virus (CHIKV) and Zika virus (ZIKV), have successfully spread to geographical areas where only dengue epidemics used to be reported [38]. CHIKV is an alphavirus (family Togaviridae) that causes an acute febrile illness characterized by severe arthralgia, whereas ZIKV, another mosquito-borne flavivirus closely related to DENV, mostly causes mild fever, joint pain, conjunctivitis, and rash [3]. As for DENV, CHIKV and ZIKV are transmitted between humans by Ae. species mosquitoes [9, 10]. Since 2004, CHIKV has caused epidemics in Africa, Asia, and Indian Ocean islands. In 2007 an outbreak of chikungunya originated from an imported case coming from India occurred in Italy, causing more than 200 cases of disease [11]. In December 2013, CHIKV was notified in the Caribbean and has since spread to several countries in the Americas [7, 12]. The first outbreak of ZIKV outside Africa and Asia was reported in 2007 in the Yap State, Federated States of Micronesia [13]. Subsequently, in 2013, this virus reappeared in French Polynesia and then spread throughout the Pacific. In the early 2015, the first local transmission of ZIKV was reported in Brazil [14]. Since then, the infection has rapidly spread throughout South America, Central America, and the Caribbean [8, 15, 16], and recently in Florida, USA [17]. ZIKV, previously thought to be associated with a mild clinical disease, was found to be associated with a 20-fold increase in the Guillain-Barrè syndrome incidence following the French Polynesia outbreak [18]. Moreover, the report of a possible association between ZIKV infection and an epidemic of microcephaly among neonates in Brazil has attracted global attention, and has led the World Health Organization (WHO) to declare the ZIKV epidemic as a global public health emergency on February, 1st 2016 [19]. In the meanwhile, evidence supporting the association between ZIKV infection and neonatal microcephaly and other birth defects has increased [2025].

Imported cases of illness due to DENV and CHIKV, and more recently ZIKV, are reported every year among travelers returning from endemic regions [2628]. In areas where competent vectors are present, the risk of autochthonous transmission of these vector-borne pathogens is particularly high [11, 29]. Thus, epidemiological and laboratory surveillance is crucial to rapidly identify imported cases in order to introduce measures to reduce risks for public health. The aim of the present study is to present data on imported infections in Italy, diagnosed at the National Reference Laboratory for Arboviruses (NRLA) in the period from July 2014 to October 2015, mainly focusing on diagnostic issues, countries of origin of the infections, and viral strains involved in the imported cases.

Methods

Patients and samples

Samples of patients visited/hospitalized with a suspected DENV/CHIKV/ZIKV infection, collected from July 2014 through October 2015, were analyzed. A case-report form containing information about age, sex, countries visited, travel dates, and date of onset of symptoms was completed for each patient. Samples were collected and sent to the NRLA at the Istituto Superiore di Sanità in Rome from several Italian Hospitals, in agreement with the National Plan on human surveillance of imported and autochthonous vector-borne diseases (CHIKV, DENV, ZIKV, and West Nile virus—WNV) [30, 31]. Samples were sent also from Regional Reference Laboratories for Arboviruses involved in the surveillance National Plan for diagnostic confirmation and/or with the aim of a cross-evaluation of the diagnostic methods used in different laboratories. ELISA IgM and real time PCR tests were performed for a first line diagnosis. Plaque Reduction Neutralization Tests (PRNTs) were performed to confirm positive results obtained by ELISA tests, and to discriminate between closely related viruses.

Serological assays

ELISA IgM

IgM antibodies against DENV, CHIKV, and ZIKV were detected in patients serum samples using commercial IgM-capture ELISA systems (Focus Diagnostics Dengue Virus IgM Capture, DxSelect™, California, USA, NovaLisa® Chikungunya IgM μ-capture ELISA, NovaTec Immundiagnostica GmbH, Germany, Euroimmun Anti-Zika Virus IgM ELISA, Luebeck, Germany). Absorbance was measured at 450 nm using an ELISA reader, according to manufacturer’s instructions. Sample optical density readings were compared with reference cut-off OD readings to determine results. Index values >1.00 for DENV, > 11.00 for CHIKV, and > 1,1 for ZIKV were considered presumptive for the presence of IgM antibodies.

Plaque Reduction Neutralization test (PRNT)

The assay was performed in six-well tissue culture plates with subconfluent VERO cell monolayers (approximately 70% confluence). The following viruses were used: serotype 2 DENV (NGB strain), a CHIKV strain isolated from a patient during the 2007 Italian outbreak [11], and ZIKV H/PF/2013 strain of the Asian genotype (kindly provided by Dr. Isabelle Leparc-Goffart of the French National Reference Center on Arboviruses in Marseille) [32]. Infectivity titration of each viral strain was performed by plaque assay using VERO cells. Patients sera were diluted 1:10 in serum-free maintenance medium, heat-inactivated, and titrated in duplicate in twofold dilution steps. Equal volumes (100 μl) of DENV/CHIKV/ZIKV dilution containing approximately 80 Plaque Forming Units (PFU), and serum dilutions, were mixed, and incubated overnight at 4 °C. Subsequently, VERO cells plates were infected with 200 μl/well of virus-serum mixtures in duplicate. After 1 h incubation at 37 °C and 5% CO2, the inocula were aspirated and the wells were overlayed with a mixture of one part 2% Gum Tragacanth and one part of supplemented medium (2× MEM, 2.5% inactivated FCS and 2% 1 M HEPES). The plates were incubated at 37 °C and 5% CO2 for 2 (CHIKV) - 7 (DENV) - 4 (ZIKV) days, and then were stained with 1.5% crystal violet. A titration of CHIK/DEN/ZIK viruses with three dilutions in duplicate (the working dilution, 1:2 and 1:8 dilutions) was performed in each assay and used as a control for the assay. Neutralizing antibody titers were calculated as the reciprocal of the serum dilution that gave a 50 or 80% reduction of the number of plaques (PRNT50/PRNT80), as compared to the virus control. PRNT80 ≥ 10 were considered positive, while PRNT50 ≥ 10 were considered as border line (b.l.).

Molecular diagnosis

RNA extraction and Real Time PCRs

Molecular tests were performed on acute sera of DENV/CHIKV/ZIKV-suspected patients.Viral RNA was extracted from 140 μl of serum sample by using QIAmp viral RNA Mini kit (Qiagen Inc., Valencia, CA, USA), according to the manufacturer’s instructions, and then stored at -80 °C until further processing. The RNA was amplified by real time PCR for CHIKV, DENV, and/or ZIKV detection. The primers and probes used in this study are listed in Table 1 [11, 33, 34]. All real time PCR assays were performed by using the RealTime ready RNA Virus Master mix (Roche Diagnostics, Basel, CH), according to the manufacturer’s protocol, and CFX96 Touch™ Real-Time PCR Detection System (Bio-Rad).

Table 1.

Primers and probes for the molecular diagnosis

Primers and Probes Sequence (5’- 3’) Reference
DenS GGATAGACCAGAGATCCTGCTGT [33]
DenAs + DenAs1 CATTCCATTTTCTGGCGTTC + CAATCCATCTTGCGGCGCTC
DenP FAM-CAGCATCATTCCAGGCACAG-TAMRA
ChikS TGATCCCGACTCAACCATCCT [11]
ChikAs GGCAAACGCAGTGGTACTTCCT
ChikP FAM-TCCGACATCATCCTCCTTGCTGGC-Black Hole Quencher 1
Zvf1086 CCGCTGCCCAACACAAG [34]
Zvr1162c CCACTAACGTTCTTTTGCAGACAT
ZvP_1107 6FAM-AGCCTACCTTGACAAGCAGTCAGACACTCAA-TAMRA

Amplification and sequencing from viral RNA

For DENV and CHIKV nucleic acid detection and genotyping, Reverse Transcription (RT)-PCR followed by nested PCR amplification was performed. An amplicon of 434 bp in the E gene region and an amplicon of 536 bp in the E1 structural glycoprotein coding gene region were obtained for DENV an CHIKV, respectively. The primers used for RT-PCR plus nested PCR and sequencing are listed in Table 2 [35, 36]. SuperScript One-step RT-PCR with Platinum Taq kit (Invitrogen, Gaithersburg, MD) and Platinum PCR SuperMix kit (Invitrogen) were used for RT-PCR and nested PCR, respectively. PCR products were purified by QIAquick PCR Purification Kit (Qiagen) and were sequenced on both strands by using nested forward and reverse primers.

Table 2.

Primers for DENV and CHIKV amplification and sequencing

Primers Sequence (5’- 3’) Reference
RT-PCR: [35]
 DEUL TGGCTGGTGCACAGACAATGGTT
 DEUR GCTGTGTCACCCAGAATGGCCAT
Nested PCR:
 DENUL GATCTCAAGAAGGAGCCATGCA
 DENUR ATGGAACTTCCCTTCTTGAACCA
RT-PCR: [36]
 CHIK 10264 F GGCGCCTACTGCTTCTG
 CHIK 11300R CGACACGCATAGCACCSC
Nested PCR:
 CHIK 10564 F CCCTTTGGCGCAGGAAGAC
 CHIK 11081R GACTTGTACGCGGAATTCGG

Phylogenetic analysis

The sequences obtained were aligned with other DENV/CHIKV sequences available in the GenBank database (accession numbers are reported in the phylogenetic trees), by using the ClustalW program (www.clustal.org) [37]. Alignments were manually edited with the Bioedit program [38]. Nucleotide Tamura-Nei model and the Neighbour-Joining method was used to construct the phylogenetic trees [39]. The Neighbour-Joining method was implemented by using MEGA version 6.06 (www.megasoftware.net) [40]. The robustness of branching patterns was confirmed with a bootstrap analysis using 1000 replicates.

Results

Dengue, Chikungunya and Zika diagnostic tests results, and areas of origin of the imported infections

Samples collected from 180 patients visited/hospitalized with a suspected DENV/CHIKV/ZIKV infection were analyzed. Of the patients, 50,6% were males, median age was 38 years (range 1–80 years). For 116 patients for whom the information about the date of symptoms onset and/or hospitalization was available, the median lag time before sample collection was 8 days (range 2–102 days, mean ± standard deviation: 15,47 ± 18,24 days). Two serum samples (acute phase and convalescence phase) were available from 27 patients. Samples were sent to the NRLA from several Italian Regions (Friuli Venezia Giulia, Lombardia, Piemonte, Liguria, Toscana, Umbria, Lazio, Abruzzo, Campania, Sardegna, Calabria e Sicilia). Most of the samples were collected during the summertime, from June to September, when the surveillance is increased because of vector activity.

On the base of diagnostic tests results, and clinical and epidemiological data, each case was defined as confirmed, probable, possible or not confirmed, according to the criteria shown in Table 3.

Table 3.

Case definition on the bases of the diagnostic test results

Confirmed PCR positive and/or IgM positive plus PRNT positivea, and/or seroconversion or four fold increase in neutralizing antibody titers in two consecutive samples.
Probable IgM positive plus PRNT border lineb in acute samplesc.
Possible IgM negative and PRNT positive/border line, or IgM positive but PRNT negative in acute samples.
Not confirmed IgM positive and PRNT negative in late/convalescent samples, or PRNT positive without an increase in the titer in two consecutive samples.

aPRNT80 ≥ 10: positive

bPRNT50 ≥ 10: border line (b.l.)

cThese cases were classified as possible if PRNT b.l. results were obtained toward different viruses

In the study period, a total of 157 patients were tested for DENV, 97 for CHIKV and 16 for ZIKV (Table 4).

Table 4.

DENV, CHIKV and ZIKV diagnosis in the period from July 2014 to October 2015

Total Confirmed Probable Possible Not confirmed
DENV diagnosis 157 68 12 33 44
CHIKV diagnosis 97 35 6 14 42
ZIKV diagnosis 16 4a 0 3b 9
Dual diagnosis DENV/CHIKV 76: two cases of possible co-infections. DENV: 18/76 (of which two CHIKV confirmed and one CHIKV possible cases)
CHIK: 20/76 (of which two DENV confirmed and 6 DENV possible cases)

aThe diagnosis of one of these cases was performed in Germany after we excluded DENV and CHIKV infections (ref). One was a case of autochthonous (most likely sexual) transmission (ref)

bOf these, two were probable cases of past ZIKV infections (PRNT positives and IgM negatives). One showed instead a PRNT b.l. result for ZIKV, which was probably due to cross reactivity of DENV specific antibodies

Overall, 68 DENV cases (plus 12 probable cases), 35 CHIKV cases (plus 6 probable cases), and 4 ZIKV cases [27, 41] were confirmed, plus two cases of ZIKV past infection. For 76 patients, diagnostic tests both for DENV and for CHIKV were performed, and 2 cases of possible co-infections were detected. Clinical features of DENV, CHIKV and ZIKV confirmed/probable cases are shown in Table 5.

Table 5.

Clinical features of DENV, CHIKV and ZIKV confirmed/probable cases

Symptoms DENV confirmed and probable cases presenting with the symptoma CHIKV confirmed and probable cases presenting with the symptoma ZIKV confirmed and probable cases presenting with the symptoma
Fever (≥38 °C) 93,2% 92,6% 75,0%
Arthralgia 71,2% 96,3% 75,0%
Rash 33,9% 66,7% 100,0%
Asthenia 76,3% 70,4% 25,0%
Headache 62,7% 37,0% 0,0%
Myalgia 52,6% 63,0% 25,0%
Retro-orbital pain 32,2% 11,1% 0,0%
Meningoencephalitis 1,7% 3,7% 0,0%
Others 10,2%b 3,7% c 0,0%

aSymptoms were known for 59, 27 and 4 DENV, CHIKV and ZIKVV cases, respectively

bdiarrhea, vomit, leuco-thrombocytopenia

csymptoms persisting for longer than 30 days

The area of origin of the suspected imported cases was known for 62 DENV, 30 CHIKV, and 4 ZIKV confirmed/probable cases DENV cases were imported from many different countries in all continents except Europe. Among DENV confirmed/probable cases, 59.7% were from Asia, 17.7% from Central and South America, 11.3% from the Caribbean, 6.5% from Africa, and 4.8% from Oceania. As expected, because of the recent CHIKV epidemics in the Americas, among the CHIKV confirmed/probable cases, 53.3% were from the Caribbean, 36.7% were from Central and South America, and only 10.0% were from Asia or Africa. Two ZIKV confirmed infections had been acquired in Brazil, one in March [27] and one in May, 2015, while one had been acquired in Thailand in 2014, and one was an autochthonous case likely due to sexual transmission [41].

Serological diagnosis of DENV, CHIKV and ZIKV infections

ELISA IgM tests

Results of ELISA IgM tests are summarized in Table 6.

Table 6.

DENV/CHIKV/ZIKV ELISA IgM tests results

ELISA IgM: positives/tested Estimated proportion of false positive and false negative test results
DENV (Focus Diagnostics Dengue Virus IgM Capture, DxSelect™) 55/127 8/55 (14.5%) false positives
8/72 (11.1%) false negatives
CHIKV (NovaLisa® Chikungunya IgM μ-capture ELISA, NovaTec Immundiagnostica) 31 + 3 b.l./86 1 b.l./86 (1,2%) false positives
5/52 (9,6%) false negatives
ZIKV (Euroimmun IgM ELISA) 3/5

DENV ELISA IgM test was performed for 127 of 157 patients tested for DENV, with 55 positive results; for 14.5% of the ELISA IgM positive patients, a final diagnosis of confirmed or probable DENV infection was not done after considering all laboratory findings and available epidemiological data. These cases are likely to represent false positive IgM ELISA results. Conversely, 11.1% of the ELISA IgM negative patients were diagnosed as confirmed DENV cases on the basis of other tests (PCR positivity) and/or of IgM results obtained by the hospital/laboratory where the sample had been collected (not shown); they were considered as false negatives. Of note, of the DENV suspected cases coming to our laboratory with a positive IgM result obtained in the hospital/laboratory where the sample had been collected (n = 53) (not shown), 24.5% (13/53) could not be confirmed by PRNT nor by molecular tests.

CHIKV ELISA IgM test was performed for 86 of 97 patients tested for CHIKV, with 3 b.l. results, and 31 positive results; all positive ELISA IgM results and two of the b.l. were confirmed by a positive or b.l. PRNT result. Among 52 CHIKV ELISA IgM negative samples, 13 were positive and 4 b.l. in PRNT: of these, at least 5 (9.6%) were considered to be associated with a recently acquired infection, based on clinical and epidemiological data, and thus estimated as probable false-negative ELISA results. Of the CHIKV suspected cases coming to our laboratory with a positive IgM result obtained in the hospital/laboratory where the sample had been collected (n = 27) (not shown), 11.1% (3/27) were classified as not confirmed after evaluation of all laboratory findings. ZIKV IgM test was performed for 5 patients, all with a PRNT positive result for ZIKV: 3 were positive, and were thus considered as recent, confirmed, ZIKV infections, while the two IgM negatives were considered as past infections.

Overall, 94 DENV and 40 CHIKV ELISA IgM results could be compared with the IgM results obtained with different methods in the hospital/laboratory of origin of the samples (not shown): concordant results were obtained in 81.9 and 87.5% of cases for DENV and CHIKV, respectively.

PRNTs

PRNTs results are summarized in Table 7: neutralizing antibodies were detected in 79/157 (50.3%) of patients tested for DENV, in 47/97 (48.4%) of patients tested for CHIKV, and in 5/15 (33,3%) of patients tested for ZIKV. In 26/79 (32,9%) of DENV PRNT positive patients, 10/47 (21,2%) of CHIKV PRNT positive patients, and 2/5 (40%) of ZIKV PRNT positive patients, both molecular tests and ELISA IgM gave negative results: these subjects had probably acquired a DENV and/or CHIKV infection in the past, which was not associated with the recent/ongoing illness. A b.l. PRNT result was obtained for 31 of 157 DENV tested patients. Of these, 10 (32.3%) were classified as confirmed cases, since the viral genome could be detected in the same sample, and/or a fully positive PRNT result was obtained in a second, convalescent sample. Moreover, 12 (38.7%) were classified as probable cases, since a positive ELISA IgM results was obtained in the same sample. Finally, 9 (29%) PRNT b.l. results were obtained from cases defined as possible, which were not associated with any other positive result (n = 5), and/or associated with a confirmed infection by a closely related Flavivirus (ZIKV, n = 3), and/or in cases showing b.l. PRNT results also for different viruses (such as CHIKV and WNV, n = 3), suggesting a broad and non DENV-specific cross-reactivity. With respect to CHIKV diagnosis, a b.l. PRNT result was obtained for 11 (11.3%) of 97 CHIKV tested patients: one from a confirmed case, 4 from probable cases, and 6 which were classified as possible cases, since they were not associated with positive results in other CHIKV tests, and, in 3 cases, presented b.l. PRNT results also for different viruses (such as DENV and WNV). Finally, one b.l. PRNT result was obtained for ZIKV, in a sample of a DENV confirmed case.

Table 7.

DENV/CHIKV/ZIKV PRNTs results

PRNT positives/tested PRNT border line/tested
DENV 79/157 (50.3%) 31/157 (19,7%) 10/31 (32.3%): confirmed cases
12/31 (38.7%): probable cases
9/31 (29%): possible cases
CHIKV 47/97 (48.4%) 11/97 (11,3%) 1/11 (9%): confirmed case
4/11 (36,4%): probable cases
6/11 (54,6%): possible cases
ZIKV 5/15 (33,3%) 1/15 (6,7%) possible case (probable cross reactivity of DENV specific neutralizing antibodies)

Molecular diagnosis of DENV and CHIKV infections, and phylogenetic analysis of viral sequences

For DENV diagnosis, 25 of 132 (18.9%) samples tested by real time PCR gave a positive result. All PCR positive samples (for which the time from the onset of symptoms was known), had been collected within 8 days from the onset of symptoms (mean ± standard deviation: 4.71 ± 1.76 days). For CHIKV diagnosis, only 2/76 (2.6%) samples tested by real time PCR gave a positive result, which had been collected 3 days after the onset of symptoms. All samples analyzed for ZIKV by real time PCR gave negative results.

Among all samples collected within 8 days from the onset of symptoms, CHIKV viral genome was detected in 7.7% (2/26) of the samples (22.2% of confirmed/probable cases), and DENV viral genome in 36.8% (21/57) of tested samples (53.8% of confirmed/probable cases). These data may suggest a longer duration of viremia in DENV infection compared to CHIKV infection.

Sequences were obtained for 22 of the DENV PCR positive samples, and for the 2 CHIKV PCR positive samples. Both nucleic acid and translated amino acid sequences were aligned with GenBank sequences of isolates with known dates and locations, and phylogenetic analysis was performed. Viral strains and genotypes, locations of origin, year of the infections, and Gene Bank accession numbers are summarized in Tables 8 (sequences characterized in this study) and Table 9 (reference sequences). As shown in Fig. 1a,b,c and d, DENV strains of all the four serotypes were identified (11 DENV-1, 8 DENV-2, two DENV-3 and one DENV-4 strains). Within the DENV-1 serotype, 4 strains grouped together with the Asian lineage (genotype I), 3 with the South Pacific lineage (Genotype IV) and 4 with African/American lineage (Genotype V), with bootstrap values ≥ 97 (Fig. 1a). Most of DENV-1 sequences (from patients S2015-423, S2015-475, S2014-376, S2015-510, S2015-470, S2015-425, S2015-481, S2015-458, S2015-431) showed a high similarity with GenBank strains known to circulate in the areas of origin of the imported infections (88–98% homology at nucleic acid level and 100% at amino acid level). In contrast, two of our DENV-1 sequences showed a higher degree of divergence when compared to DENV-1 sequences available in Gene Bank. A strain from Philippines, identified in the patient S2014-383, showed the highest similarity (88% homology at nucleic acid level and 93% at amino acid level), with two strains from Philippines collected in previous years (acc. n° JN415517 collected in 2010; acc. n° KR919819 collected in 2012). Moreover, the phylogenetic analysis of the strain S2014-358 from Thailand, showed the higher similarity (86% homology at nucleic acid level and 92% at amino acid level) with a Gene Bank Thai strain collected in 2010 (acc. n° JN415528). The strain S2014-358 showed the same 92% similarity at amino acid level also with other Thai strains collected in 2013 (acc. n° KJ545455 and KF887994). In Fig. 1b is reported the DENV-2 tree: 7 out of 8 strains (S2014-368, S2015-409, S2015-465, S2014-482, S2015-477, S2014-478 and S2015-512) clustered in the Cosmopolitan genotype: 4 of them (S2015-409, S2015-465, S2015-478, S2015-482), from Thailand and India, showed a high similarity with Indian isolates sequences (2001-DQ448236 and 2011-KF364514) both at nucleic acid and amino acid level (90–98% and 100% respectively). The S2014-382 sequence, from Santo Domingo, clustered in the American/Asian genotype, showing a strong homology (85 and 100% in nucleic and amino acid composition, respectively) with the strain collected in Puerto Rico in 2013 (acc. n° LN870427). The two DENV-3 strains identified in this study (S2014-339 from Cuba, and S2015-517 from unknown geographic area) clustered in genotype III, showing 93–100% of identity with the GenBank strains collected in Central American and Caribbean areas (acc. n° DQ341204 and level (Fig. 1c). The DENV-4 sequence (S2015-466, from Thailand) showed a strong homology with an isolate collected in 2013 from Myanmar area (acc. n° KJ470765) (similarity of 90 and 100% at nucleic and amino acid level, respectively), and distance values of 73–80% at nucleic acid level and 83–93% at amino acid level, with other sequences of different years from Thailand (acc. n° AY618990 collected in 1991, AY618980 collected in 1998, AY618992 collected in 2001, and EU448454 collected in 2007) (Fig. 1d). CHIKV sequences obtained from patients S2015-416 (for which the geographic area of origin of the infection was not known) and S2015-422, from Colombia, were aligned with 30 GenBank sequences with known dates and locations. From the analysis of the phylogenetic tree, the two sequences were shown to belong to the Asian genotype (Fig. 2). The S2015-416 sequence showed a 100% identity both at nucleic and amino acid level with an isolate collected in 2008 in Indonesia (acc. n° KC879577). The S2015-422 sequence showed the strongest homology with a Brazilian isolate (acc. n° KP164572) (98 and 96% similarity at nucleic and amino acid level, respectively).

Table 8.

DENV and CHIKV sequences characterized in this study

Isolate ID Travel location Genotype Year isolated GenBank accession no.
DENV-1
 S2014-358 Thailand I-Asian 2014 LN870423
 S2014-376 Bali, Indonesia I-Asian 2014 LN870425
 S2015-510 ? I-Asian 2015 LN999960
 S2015-460 French_Polynesia I-Asian 2015 LN999954
 S2015-475 Philippines IV-South Pacific 2015 LN999955
 S2015-423 Oceania IV-South Pacific 2015 LN879497
 S2014-383 Manila, Philippines IV-South Pacific 2014 LN870426
 S2015-431 Maldives V-African/American 2015 LN879498
 S2015-458 Maldives V-African/American 2015 LN999951
 S2015-481 Mexico V-African/American 2015 LN999958
 S2015-425 Haiti V-African/American 2015 LN879499
DENV-2
 S2014-368 ? Cosmopolitan 2014 LN870428
 S2015-477 Maldives Cosmopolitan 2015 LN999956
 S2015-512 ? Cosmopolitan 2015 LN999961
 S2015-409 Thailand Cosmopolitan 2015 LN999950
 S2015-465 Thailand Cosmopolitan 2015 LN999952
 S2015-482 India Cosmopolitan 2015 LN999959
 S2015-478 Thailand and Cambodia Cosmopolitan 2015 LN999957
 S2014-382 Santo Domingo, Dominican Republic America/Asian 2014 LN870427
DENV-3
 S2015-517 ? III 2015 LN999962
 S2014-339 Cuba III 2014 LN870424
DENV-4
 S2015-466 Thailand I 2015 LN99995
CHIKV
 S2015-416 ? Asian 2015 LN879501
 S2015-422 Colombia Asian 2015 LN879500

Table 9.

DENV and CHIKV reference sequences

Virus strain Location Genotype Year isolated GenBank accession no.
DENV-1
 NC14-17042014-4554 New Caledonia I-Asian 2014 KM212960
 China/GD-D13001 Thailand I-Asian 2013 KJ545455
 DENV-1/8/Thailand/01/2013 Thailand I-Asian 2013 KF887994
 Khabar 2759 Khabarovsk, Far East, Russia I-Asian 2012 KJ417841
 SL_2012_GS0319 Sri-Lanka I-Asian 2012 KJ26662
 MKS-WS81 Indonesia I-Asian 2010 KC762639
 D1/Vietnam/1012aTw Viet Nam I-Asian 2010 JF967953
 Thailand 2010 Thailand I-Asian 2010 JN415528
 D1/IDN/Bali_033/2010 Indonesia I-Asian 2010 KM216676
 - Cambodia I-Asian 1998 AF309641
 GZ/80 China I-Asian 1980 AF350498
 PUO 359 Thailand I-Asian 1980 AF425630
 16007 Thailand II-Thailand 1964 AF180817
 TH-SMAN Thailand II-Thailand 1954 D10513
 P72-1244 Malaysia III-sylvatic 1972 EF457905
 D1/Hu/Philippines/NIID13/2016 Philippines IV-South Pacific 2016 LC128301
 FI/DB170/2014 Fiji IV-South Pacific 2014 KM279390
 Phil2012 Philippines IV-South Pacific 2012 KR919819
 Philippines 2010 Philippines IV-South Pacific 2010 JN415517
 WS01/190801-769 Samoa IV-South Pacific 2001 JQ655095
 A88 Indonesia IV-South Pacific 1988 AB074761
 AUS HCS1 Australia IV-South Pacific 1983 AF425611
PRS 228682 Philippines IV-South Pacific 1974 AF425627
 Guangzhou/2014/4 China V-African/American 2015 KT751343
 Wenzhou-Human-1 China V-African/American 2014 KR024708
 9/D1/Del/2013 India V-African/American 2013 KU166895
 AO/DB132/2013 Angola V-African/American 2013 KM277610
 DENV-1/NI/BID-V7696/2012 Nicaragua V-African/American 2012 KF973475
 ARC-73-12 Puerto Rico V-African/American 2012 KF444913
 D1/Mexico/Ixtaczoquitlan/17/2007 Mexico V-African/American 2007 HM171564
 ThD1_0673_80 Thailand V-African/American 1980 AY732474
 715393 India V-African/American 1971 JF297579
 IBH 28328 Nigeria V-African/American 1968 AF425625
DENV-2
 SG(EHI)D2/18944Y13 Singapore Cosmopolitan 2013 KR779784
 D2/IDN/Lombok_087/2012 Bali, Indonesia Cosmopolitan 2012 KM216718
 D2/IDN/Bali_103/2012 Bali, Indonesia Cosmopolitan 2012 KM216731
 D2/THA/086/2012 Thailand Cosmopolitan 2012 KM216717
 D2/TLS/Timor_078/2012 East Timor Cosmopolitan 2012 KM216712
 D2/IDN/Bali_108/2012 Indonesia Cosmopolitan 2012 KM216736
 12/GZ/12851 China Cosmopolitan 2012 KF060919
 D2/IDN/Bali_075/2011 Bali, Indonesia Cosmopolitan 2011 KM216709
 D2/IN/RGCB921/2011 India Cosmopolitan 2011 KF364514
 10/GZ/11864 China Cosmopolitan 2010 JN009092
 Philippines 2010b Philippines Cosmopolitan 2010 JN568265
 D2/IDN/Jakarta_060/2010 Indonesia Cosmopolitan 2010 KM216708
 SG(EHI)D2/63481Y10 Singapore Cosmopolitan 2010 JN030340
 DENV-2/VN/BID-V735/2006 Viet Nam Cosmopolitan 2006 EU482672
 D2/SG/05K3330DK1/2005 Singapore Cosmopolitan 2005 EU081178
 GWL177 INDI-01 India Cosmopolitan 2001 DQ448236
 2784-DF-11/18/2002 Taiwan Cosmopolitan 2002 DQ645556
 MD922 Viet Nam Asian II 2003 GU434156
 40247 Brazil Asian II 1990 L10041
 ThD2_0284_90 Thailand Asian II 1990 DQ181801
 PR/DB189/2013 Puerto Rico American/Asian 2013 KM279409
 DR59/01 Dominican Republic American/Asian 2001 AB122022
 Cuba115/97 Cuba American/Asian 1997 AY702050
 IQT-1950 Perù American 1995 DQ917242
 D2/TO/UH04/1974 Tonga American 1974 HM582117
 Laos 2010 Laos Asian I 2010 JN568244
 D2/Myanmar/1007aTw Myanmar Asian I 2010 JF968026
 D2/LAO/043/2010 Laos Asian I 2010 KM216697
 D2/Laos/1007aTw Laos Asian I 2010 JF968021
 DENV-2/KH/BID-V2062/2007 Cambodia Asian I 2007 GQ868624
 Myan0207a/Tw Myanmar Asian I 2002 DQ518651
 DENV-2/TH/BID-V2311/2001 Thailand Asian I 2001 FJ744725
 GD08/98 China Asian I 1998 FJ196851
 ThD2_0168_79 Bangkok, Thailand Asian I 1979 DQ181805
 DAK Ar 2022 Burkina Faso sylvatic 1980 DQ917247
 DAK Ar 2039 Burkina Faso sylvatic 1980 DQ917246
DENV-3
 D3/IDN/Bali_007/2010 Indonesia I 2010 KM216737
 D3/Malaysia/1012bTw Malaysia I 2010 JF968112
 H87 Philippines I 1987 M93130
 80-2 China I 1980 AF317645
 D3-73NIID Japan I 1973 AB111085
 LN2632 Malaysia II 1999 AF147459
 D89-273 Thailand II 1989 AY145715
 PaH881/88 Thailand II 1988 AF349753
 ThD3_0046_83 Thailand II 1983 AY676358
 ThD3_0040_80 Thailand II 1980 AY676359
 ThD3_0033_74 Thailand II 1974 AY676360
 D3BR/ST14/04 Brazil III 2004 DQ118882
 - Singapore III 2004 AY662691
 D3PY/AS12/02 Paraguay III 2002 DQ118884
 BR74886/02 Brazil III 2002 AY679147
 Cuba_167_2001 Cuba III 2001 KT726341
 Cuba580/01 Cuba III 2001 AY702030
 D3/H/IMTSSA-SRI/2000/1266 Sri Lanka III 2000 AY099336
 00-28-1HuNIID Cambodia III 2000 AB111081
 6883/YUCATAN-MX/97 Yucatan III 1997 DQ341204
 1339 Puerto Rico IV 1997 AY146761
 Human, Tahiti 1965 Tahiti IV 1965 L11439
DENV-4
 D4/RL196/Myanmar/2013 Myanmar I 2013 KJ470765
 D4/Thailand/0702aTw Thailand I 2007 EU448454
 D4/Cambodia/0509aTw Cambodia I 2005 EU448455
 ThD4_0485_01 Thailand I 2001 AY618992
 ThD4_1142_98 Thailand I 1998 AY618980
 ThD4_0348_91 Bangkok, Thailand I 1991 AY618990
 SPH317947 Brazil II 2011 JN092553
 DENV-4/VE/BID-V1156/2007 Venezuela II 2007 GQ868645
 DENV-4/CO/BID-V3412/2005 Colombia II 2005 CQ868585
 D4MY02-26658 Malaysia II 2002 FN429922
 8976/95 Singapore II 1995 AY762085
 D4/PR/M35/1985 Puerto Rico II 1985 GU318316
 ThD4_0476_97 Bangkok, Thailand III 1997 AY618988
 ThD4_0017_97 Bangkok, Thailand III 1997 AY618989
 P75-514 Malaysia IV 1975 AF231723
 P73-1120 Malaysia IV 1973 AF231724
CHIKV
 10Mdy105 Myanmar East Central South African 2010 KF590567
 GD139 China East Central South African 2010 HQ846358
 TN06310 India East Central South African 2010 HM159388
 CU-Chik_OBF Thailand East Central South African 2009 GU908223
 0901aTw Malaysia East Central South African 2009 FJ807895
 0812bTw Malaysia East Central South African 2008 FJ807893
 CU-Chik10 Thailand East Central South African 2008 GU301780
FD080178 China East Central South African 2008 GU199352
 0810aTw Bangladesh East Central South African 2008 FJ807898
 SGEHICHT077808 Singapore East Central South African 2008 FJ445484
 ITA07-RA1 Italy East Central South African 2007 EU244823
 DRDE-07 India East Central South African 2007 EU372006
 LR2006_OPY1 Reunion East Central South African 2006 DQ443544
 0611aTw Singapore East Central South African 2006 FJ807896
 SL11131 Sri Lanka East Central South African 2006 AB455493
 06-027 Reunion East Central South African 2005 AM258993
 UgAg4155 Uganda East Central South African 1982 HM045812
 Vereeniging South Africa East Central South African 1956 HM045792
 S27-African prototype Tanzania East Central South African 1953 AF369024
 Ross low-psg Tanzania East Central South African 1953 HM045811
 TR206/H804187 Brazil Asian 2014 KP164572
 0811aTw Indonesia Asian 2008 FJ807891
 2008900245-BDG E1 Indonesia Asian 2008 KC879577
 MY021IMR/06/BP Malaysia Asian 2006 EU703762
PhH15483 Philippines Asian 1985 HM045790
 Gibbs 63-263 India Asian 1963 HM045813
 TH35 Thailand Asian 1958 HM045810
 HD 180760 Senegal West African 2005 HM045817
 37997 Senegal West African 1983 AY726732

Fig. 1.

Fig. 1

Neighbour-Joining phlylogenetic analysis of sequences obtained from DENV positive samples using Tamura-Nei model with 1000 bootstrap reiterations. For each sequence, GenBank accession number/viral genotype/country of origin of the infection/year of the infection are reported. Sequences characterized in this study are indicated by a black square. The bars indicate the percentage of diversity. Bootstrap values over 80% obtained from 1000 replicate trees are shown for key nodes. a: DENV-1 genotypes; b: DENV-2 genotypes; c: DENV-3 genotypes; d: DENV-4 genotypes

Fig. 2.

Fig. 2

Neighbour-Joining phlylogenetic analysis of sequences obtained from CHIKV positive samples using Tamura-Nei model with 1000 bootstrap reiterations. For each sequence, GenBank accession number/viral genotype/country of origin of the infection/year of the infection are reported. Sequences characterized in this study are indicated by a black square. The bars indicate the percentage of diversity. Bootstrap values over 80% obtained from 1000 replicate trees are shown for key nodes

Discussion

In this study, we present the results of laboratory diagnosis of imported Arbovirus infections in Italy, in the period from July 2014 to October 2015. As it is well known, dengue is endemic throughout the tropics and subtropics, and its global prevalence has grown dramatically in recent years. Indeed, we found that DENV infection was the most frequently detected imported arboviral infection among our patients. Moreover, all four known DENV genotypes were detected. An increase in imported CHIKV cases was also observed, as already documented in Spain, mainland France, and Northern Italy, along with the first identification of ZIKV imported cases; both findings are attributable to the recent dramatic spread of both CHIKV and ZIKV in previously unaffected areas [27, 4244]. The continuous expansion of the areas with Arbovirus circulation, together with the dispersion of Aedes mosquitoes spp., which are known or might be competent vectors [45], may increase the risk of outbreaks also in temperate climate areas. In Italy, the widespread presence of Ae. albopictus throughout the country, and the recent introduction and spread of new species [46, 47], make this risk particularly high. However, no autochthonous transmission chains have been recorded in our country in the period between July 2014 and October 2015.

The widespread circulation of CHIKV and ZIKV in areas until recently known to be endemic only for DENV represents a matter of concern for the potential risk of introduction in temperate regions, and raises significant diagnostic issues. In particular, problems related to the broad cross-reactivity of closely related viral agents, and the lack of well validated and standardized, commercially available tests (as it is for ZIKV), or the non-optimal performance of available tests, particularly when different viral agents co-circulate in the same areas, need to be addressed. To this regard, ZIKV imported cases are increasingly being reported, as a consequence of the continuous spread of the infection in south and central America [16, 48], leading to an increase in the requests for diagnosis. Criticisms in ZIKV diagnosis have been outlined recently [16], particularly for pregnant women [49], following the alert for the possible association between this infection and neonatal microcephaly [50].

From this scenario, the need for a careful evaluation of the diagnostic tools available for these infections clearly emerges. At this aim, in this work we have defined “our” criteria for case definition (Table 3) on the basis of the results of the diagnostic tests routinely used in our laboratory. However, it must be underlined that the final case definition for each patient is up to the clinician, and at this aim criteria are well defined in the National Plan for Arbovirus surveillance [30, 31] issued annually by the Italian Ministry of Health.

Molecular approaches for the diagnosis of viral infections are the most rapid as well as sensitive and specific. Moreover, sequencing and phylogenetic analysis of detected viruses can contribute to the knowledge of circulating viral strains and of the degree of their genetic variability. However, as suggested by our data, the use of molecular techniques is limited by the short duration of viremia during the course of the infection. With respect to serological diagnosis, we assessed some limitations in the sensitivity and/or specificity of the ELISA IgM kits routinely used in our laboratory, and also some degree of discrepancy with IgM results obtained by different laboratories. We have estimated approximately 14.5% of false positive and 11.0% false negative results for DENV, and approximately 9.6% of false negatives for CHIKV. Although the main purpose of our study was not a detailed analysis of the performances of different IgM detection systems, our data strengthen the need to confirm the diagnosis of cases defined as probable on the basis of IgM tests results. With respect to the PRNT, we have defined as “borderline” results those in which 50%,(i.e., less than 80%) of plaque reduction was observed. We found that b.l. PRNT results can be obtained in different situations. In most cases, they can be observed in samples collected soon after the onset of symptoms, and can be considered as an early, specific, response to the infection. In some cases, however, b. l. PRNT results can be due to infection by a closely related virus: we have observed a b.l. PRNT result for ZIKV in a DENV confirmed, DENV PRNT positive case; and, conversely, a DENV b.l. PRNT result in a ZIKV confirmed, ZIKV PRNT positive case. Indeed, even if PRNT is considered the most specific test, there can be some degree of cross-reactivity, thus b.l. PRNT results should always be considered cautiously. Finally, few cases showed b.l. PRNT results for several viruses (such as DENV, CHIKV and WNV), which probably represents a non-specific response of unknown origin, maybe due to an underlying, still undefined pathology.

Conclusion

DENV infection was the most frequently diagnosed cause of illness among travelers, and all four genotypes were detected. An increase in imported CHIKV cases and the first imported ZIKV cases were detected. Major diagnostic issues highlighted in our study are sensitivity limitations of molecular tests, and the importance of PRNT to confirm serological results for the differential diagnosis of Arboviruses. Moreover, the implementation of a network of laboratories involved in surveillance activities throughout the country may greatly improve the preparedness for a rapid a proper recognition of a possible autochthonous outbreak. Finally, the continuous evaluation of laboratory findings in the context of surveillance activities can be of great importance for the development of novel diagnostics, and for field evaluation of the impact of viral diseases, also in view of vaccine development and use.

Acknowledgements

The Arbovirus Working Group: Alessia Caratelli1, Veronica Bizzotti1, Daniela Casale1, Debora Lepore1, Valentina Cecchetti1, Maria Grazia Caporali3, Licia Bordi4, Fabrizio Carletti4, Francesca Colavita4, Eleonora Lalle4, Serena Quartu4, Lisa Malincarne10, Ilaria Caracciolo11, Claudia Tiberio12, Erasmo Falco12. The authors would like to thank all health professionals and clinicians from local and regional health authorities for collaborating. Maria Grazia Ciufolini for critically revising the manuscript and fruitful discussion.

Funding

None.

Availability of data and materials

Viral Sequences obtained in this study are available in the GenBank database (accession numbers are reported in the phylogenetic trees).

Authors’ contributions

GV, CF, MER and GR designed and managed this study. CR, AB, GR are involved in the epidemiological surveillance at ISS. GR is the head of the Department of Infectious, Parasitic and Immune-Mediated Diseases of the Istituto Superiore di Sanità (ISS). EB, CF, CF, MER, GV performed laboratory investigations at ISS. MER and CA performed phylogenetic analysis. GV, CF, MER and FF prepared and analysed the data. GV, CF, MER and GR contributed in writing the manuscript. CC, MRC, LZ, AB, NZ, MRG, LCN, GV, FB, PDA, GS are all involved in Arbovirus Surveillance activities, as clinicians or as responsible of Regional Reference Laboratories. All persons of the Arbovirus Working Group, both of the ISS and of Regional Reference Laboratories, contributed in laboratory investigation, and in preparing and analyzing the data. All authors read and approved the final manuscript and contributed proofreading this manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

In this study, no experiments involving recruitment of humans, nor animals, have been performed. A retrospective, aggregate analysis has been performed on human data (such as travels, symptoms, etc) from surveillance activity and from diagnostic activity performed on human clinical samples, in agreement with a National Plan issued and revised annually by Italian Ministry of Health, for which an ethics approval is not required (Decreto legislativo 24 giugno 2003, n. 211. Attuazione della direttiva 2001/20/CE relativa all’applicazione della buona pratica clinica nell’esecuzione delle sperimentazioni cliniche di medicinali per uso clinico). No data attributable to individual patients are presented in this manuscript. Clinical samples from suspected disease cases have all been collected by hospitals from several Italian Regions, according to Italian law (Decreto legislativo 30 giugno 2003, n. 196. Codice in materia di protezione dei dati personali).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abbreviations

Ae.

Aedes

b.l.

Border line

CHIKV

Chikungunya virus

DENV

Dengue virus

ISS

Istituto Superiore di Sanità

NRLA

National Reference Laboratory for Arboviruses

PCR

Polymerase chain reaction

PRNT

Plaque Reduction Neutralization Test

WHO

World Health Organization

WNV

West Nile virus

ZIKV

Zika virus

Contributor Information

Claudia Fortuna, Email: claudia.fortuna@iss.it.

Maria Elena Remoli, Email: mariaelena.remoli@iss.it.

Caterina Rizzo, Email: caterina.rizzo@iss.it.

Eleonora Benedetti, Email: eleonora.benedetti@iss.it.

Cristiano Fiorentini, Email: cristiano.fiorentini@iss.it.

Antonino Bella, Email: antonino.bella@iss.it.

Claudio Argentini, Email: claudio.argentini@iss.it.

Francesca Farchi, Email: francesca.farchi@iss.it.

Concetta Castilletti, Email: concetta.castilletti@inmi.it.

Maria Rosaria Capobianchi, Email: maria.capobianchi@inmi.it.

Lorenzo Zammarchi, Email: lorezammarchi@gmail.com.

Alessandro Bartoloni, Email: alessandro.bartoloni@unifi.it.

Nadia Zanchetta, Email: zanchetta.nadia@asst-fbf-sacco.it.

Maria Rita Gismondo, Email: mariarita.gismondo@unimi.it.

Luca Ceccherini Nelli, Email: luca.ceccherini.nelli@gmail.com.

Giustina Vitale, Email: giustina.vitale@unipa.it.

Franco Baldelli, Email: franco.baldelli@unipg.it.

Pierlanfranco D’Agaro, Email: pierlanfranco.dagaro@burlo.trieste.it.

Giuseppe Sodano, Email: giuseppe.sodano@ospedalideicolli.it.

Giovanni Rezza, Email: giovanni.rezza@iss.it.

Giulietta Venturi, Email: giulietta.venturi@iss.it.

the Arbovirus Working Group:

Alessia Caratelli, Veronica Bizzotti, Daniela Casale, Debora Lepore, Valentina Cecchetti, Maria Grazia Caporali, Licia Bordi, Fabrizio Carletti, Francesca Colavita, Eleonora Lalle, Serena Quartu, Lisa Malincarne, Ilaria Caracciolo, Claudia Tiberio, and Erasmo Falco

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Viral Sequences obtained in this study are available in the GenBank database (accession numbers are reported in the phylogenetic trees).


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