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. 2023 Feb 18;9(3):e13859. doi: 10.1016/j.heliyon.2023.e13859

Human pathogens in ticks removed from humans in Hebei, China

Jing Xue a, Qing Ren a, Xiu-Li Yang b, Jiangli Wang c, Guangcheng Xie a, Luanying Du a, Wen-Ping Guo a,
PMCID: PMC9982027  PMID: 36873472

Abstract

Ticks are the hosts or vectors of many human pathogens, including viruses, bacteria and protozoa, and can transmit these causative agents to humans when feeding on human bodies. In this study, 26 ticks removed from humans in Hebei, China were tested for the presence of human-pathogenic microorganisms by Polymerase Chain Reaction (PCR) or Reversed Transcript PCR (RT-PCR). As a result, 11 ticks tested positive for at least one human pathogen. Specifically, four validated human pathogens, including Rickettsia raoultii, Candidatus Rickettsia tarasevichiae, Babesia venatorum, and Borrelia garinii, as well as Anaplasma ovis with zoonotic potential, were identified in Ixodes persulcatus, Dermacentor silvarum and Haemaphysalis concinna. Importantly, this is the first report of Anaplasma and Babesia species pathogenic to humans in Hebei province. Moreover, the co-infections, including double infection and quadruple infection were observed. In addition, Candidatus R. principis with unknown pathogenicity was identified in one tick, which may be the same species as Candidatus R. hongyuanensis based on the nucleotide identity and phylogenetic analysis. Concluding, four validated tick-borne pathogens and one with zoonotic potential were identified in ticks parasitizing humans, suggesting the potential high public health risk in the local human population.

Keywords: Anaplasma, Babesia, Borrelia, Rickettsia, Ticks, Tick-borne pathogens

1. Introduction

Ranking second only to mosquitoes as vectors of many human infectious diseases, ticks can harbor and transmit a great variety of viruses, bacteria and protozoa, and many of which are identified in recent two decades [1]. China is seriously affected by tick-borne pathogens and associated diseases. In mainland China, approximately 50 tick-borne human pathogens belonging to the three major groups of microorganisms mentioned above have been identified in the first 20 years of the 21st century [2]. Importantly, human cases, caused by tick-borne agents including at least six species of genus Rickettsia, two species of genus Anaplasma, one species of genus Ehrlichia, one species of genus Neoehrlichia, five species of genus Borrelia and four viruses, have been reported in China [2,3]. Additionally, many field surveys have been performed and revealed that more human pathogens were circulating in ticks [2,3].

Ticks removed from human bodies and associated causative agents have been reported in several European countries, USA, Brazil, Turkey, Argentina, and South Korea [4,5,6,7,8,9,10,11,12,13,14]. The ticks removed from humans are of great diversity, including Haemaphysalis, Dermacentor, Rhipicephalus, Ixodes, Hyalomma and Amblyomma. More importantly, a variety of microorganisms pathogenic to humans, including Anaplasma, Ehrlichia, Candidatus Neoehrlichia, Rickettsia, Borrelia, Babesia, Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV), and tick-borne encephalitis virus (TBEV), have been identified [4,5,6,7,8,9,10,11,12,13,14]. In mainland China, although various pathogens mentioned above were identified in both questing and engorged ticks, fed on animals, no causative agent in human-parasitizing ticks have been investigated until now [2,3]. Ticks can transmit the pathogens to humans when they feed on humans. Therefore, identification of pathogens in ticks parasitizing may be benefit for the diagnosis and prevention of tick-borne disease in local population.

The northern part of Hebei province, located in north China, is a plateau with dense vegetation, conducive to the survival of ticks. Notably, many novel human pathogens have been identified in ticks collected in China, indicating that China is a hotspot of tick-borne pathogens and tick-borne diseases [3]. Therefore, tick samples were collected from human bodies in Hebei Province in this study, aiming to screen the presence of tick-borne bacteria, parasites, and viruses, to assess the transmission risk of these pathogens to humans. In addition, the results of this study are helpful to provide basis for the treatment of diseases if these patients present clinical symptoms later.

2. Materials and methods

2.1. Ethics statement

This study was approved by the ethics committee of the Chengde Medical University (No. 202004). Oral informed consent was obtained from all the humans who were bitten by ticks.

2.2. Collection of ticks and DNA/RNA extraction

Between 2019 and 2021, ticks were collected from humans with tick bites and without any symptoms who presented to the hospital of Weichang Manchu and Mongolian Autonomous County, Hebei Province, China. All the recovered ticks were stored at −80 °C. All ticks were adults, already engorged; they were firstly morphologically identified based on the taxonomical keys used for tick identification [15,16,17]. Furthermore, the tick species was confirmed by analyzing the partial cytochrome c oxidase I (COI) gene obtained by PCR with primers LCO1490 and HCO2198 [18].

All the tick specimens were washed three times with 75% alcohol and then two times with phosphate buffered saline (PBS). Both total DNA and RNA were extracted from the whole body of each tick using the Total DNA/RNA Isolation Kit (Omega, Norcross, GA, USA) according to the instructions. The DNA samples were eluted with 50 μL elution buffer and RNA samples with 25 μL RNase-free (DEPC-treated) water. All the DNA and RNA samples were stored in −80 °C before pathogens detection.

2.3. Screening and molecular characterization of pathogens

All the DNA samples were detected for the presence of tick-borne pathogens by Polymerase Chain Reaction (PCR). All the primers used in this study are shown in Table 1. Specifically, the Anaplasmataceae bacteria were detected by amplifying the partial 16S ribosomal RNA (rRNA) gene with primer pairs described by Rar et al. [19]. Semi-nested PCR was used to detect genus Rickettsia with the primer pairs targeting the ompA gene described previously [20,21]. Genus Babesia was detected with the primer pairs targeting the 18S rRNA gene described by Armstrong et al. [22]. Genus Borrelia was detected by amplifying the flagellin gene with the primer pairs Bor-flaF/Bor-flaR1 for the first round and Bor-flaF/Bor-flaR2 for the second, which were designed by ourselves. Viruses, including Severe fever with thrombocytopenia syndrome virus (SFTSV), Jinmen tick virus (JMTV), Alongshan virus (ALSV), and Tick-borne encephalitis virus (TBEV) were detected according to the methods described previously [23,24,25,26].

Table 1.

Primer sequences used in this study.

Pathogens Target gene Primer Oligonucleotide sequences (5′- 3′) References
Anaplasmataceae rrs Ehr1 AACGAACGCTGGCGGCAAGC (+) [19]
Ehr2 AGTAYCGRACCAGATAGCCGC (−)
Ehr3 TGCATAGGAATCTACCTAGTAG (+)
Ehr4 CTAGGAATTCCGCTATCCTCT (−)
Rickettsia ompA Rr190k.70p TGGCGAATATTTCTCCAAAA(+) [21]
Rr190k.720n TGCATTTGTATTACCTATTGT (−)
Rr190k.602n AGTGCAGCATTCGCTCCCCCT (−)
Rr190k.70p TGGCGAATATTTCTCCAAAA(+) [20,21]
Ric-R1 ACCTACATTATCAAHGCCTGT
Ric-R2 ACCTSTTAATACTGCATTTRCAT
gltA CS1d ATGACTAATGGCAATAATAA [27]
CSEndr CTTATACTCTCTATGTACA
RpCS1258n ATTGCAAAAAGTACAGTGAACA
Anaplasma ovis gltA AP1SPglF1 ATGBTAGAAAARGCTGTTTTRGMGTGT (+) [28]
AP1168SPglR1 TCATACCATTGMGATRCCCATCC (−)
APJ10F2 AAKGCTGTTTTAGCGTGTGGTGATCTT (+)
APJ932R2 ATTTTCGCCCTCGGGTCGTGA (−)
Babesia 18S BS1 GACGGTAGGGTATTGGCCT (+) [22]
PiroC CCAACAAAATAGAACCAAAGTCCTAC (−)
PiroA ATTACCCAATCCTGACACAGGG (−)
ITS ITS F GAGAAGTCGTAACAAGGTTTCCG (+) [30]
ITS 2 ACAATTTGCGTTCAATCCCA (−)
cytb Bgcytb-F AGTGAAGGAAYTTGACAGGT (+) [29]
Bgcytb-R CTTTCCTATTCCTTACGTAC (−)
Borrelia flagellin Bor-flaF TCACAAGCTTCTAGAAAYAC(+) This study
Bor-flaR1 GCYACAACCTCATCTGTCAT(−)
Bor-flaR2 ATYCTTTATRGAYTCAAGTCTAT(−)
SFTSV S gene F1S CAGCCACTTTACCCGAACAT(+) [26]
R1S GGAAAGACGCAAAGGAGTGA(−)
F2S CTGGTCTCTGCCCTCTCAAC(+)
R2S GGATTGCAGTGGAGTTTGGTG(−)
L gene F1L GGCAGCAAACCAGAAGAAAG(+)
R1L CATTTCTCCGAGGGCATTTA(−)
F2L GGGTCTCCTGCTTAGCACAGG(+)
R2L TCAGAFAAFACCCTGCCAGT(−)
JMTV segment 2 seg2-1279F TCACGGGAAGGAGAGGGC(+) [23]
seg2-1630R ACGGCCACAAGCACTGTTGG(−)
segment 4 seg4-1783R ACTCCCATATCGCCTCTTCTGTC(+)
seg4-1243F CTGGCCGTTGGGGTGTACCT(−)
ALSV segment 1 MiassF GGTACACGGACCTGGGATCCTATTG(+) [24]
MiassR TCTCTGACTCCTGTTCTAATC(−)
segment 2 Miass_gly_3F TGGATCAGCTCACACCACAC(+)
Miass_gly_3R TCACCGTCACAGTGGAATGG(−)
TBEV RNA polymerase FSM-1 GAGGCTGAACAACTGCACGA(+) [25]
FSM-2i GAACACGTCCATTCCTGATCT(−)
FSM-1 ACGGAACGTGACAAGGCTAG(+)
FSM-2i GCTTGTTACCATCTTTGGAG(−)

To better characterize the pathogens, the citrate synthase (gltA) gene of Anaplasma and Rickettsia was amplified by (semi-)nested PCR with the primers described previously, respectively [27,28]. The ITS region and cytb of genus Babesia were amplified using previously-mentioned primers [29,30].

For detection of genus Borrelia by semi-nested PCR, a 20 μL reaction mixture was used for the first round, including 10 μL Premix Taq (Takara, Dalian, China), 1.0 μL total DNA sample as template, 1.0 μL of each primer (10 pmol) and 7.0 μL ddH2O. For the second round, the PCR reaction was performed in a 40 μL reaction mixture, containing 20 μL Premix Taq (Takara, Dalian, China), 2.0 μL of the first-round PCR product as template, 2.0 μL of each primer (10 pmol) and 14.0 μL ddH2O. The same PCR amplifications were used for both rounds of the semi-nested PCR, including an initial denaturation performed at 94 °C for 5 min, followed by 30 cycles of 94 °C for 40 s, 52 °C for 40 s, and 72 °C for 50 s, and a final extension at 72 °C for 8 min.

In order to avoid contamination, the operations of DNA extraction, PCR mixture preparation, template addition, PCR amplification and electrophoresis were performed in a fume hood in five separated rooms and dedicated pipets and tips with filter elements inside were used in all operations. In addition, ddH2O was used as a negative control.

After electrophoresis analysis, each PCR product of the expected size was purified using a MiniBEST Agarose Gel DNA Extraction Kit Ver.4.0 (TaKaRa, Dalian, China). After purification, the amplicons less than 700 bp were bidirectionally sequenced using the primers as for the PCR. Alternatively, the amplicons were also cloned into pMD19-T vector and positive clones were identified for further sequencing with universal M13-47 forward and RV-M reverse primers when clear double peaks were visible on the sequencing chromatograms. In addition, the amplicons greater than 700 bp were sequenced using the same strategy as those amplicons less than 700 bp with ambiguous sequencing results.

2.4. Nucleotide sequence identity and phylogenetic analyses

Bioedit v.7.1.11 was used to assemble and edit all sequences obtained in this study [31]. All the sequences were subjected to a BLASTN search against the GenBank database. The MegAlign program in Lasergene was used to calculate the nucleotide sequence identity [32]. The Maximum Likelihood tree was reconstructed using PhyML 3.0 [33] based on the best-fit evolutionary model (GTR+Γ+I) evaluated using MEGA 6.0.6 [34]. The bootstrap analysis was performed with 1000 replicates. The nucleotide sequences obtained in this study were deposited in GenBank under the accession numbers OP363198-OP363200, OP363203-OP363204, OP382364-OP382390.

3. Results

3.1. Identification of tick-borne pathogens

A total of 26 ticks removed from human bodies were collected and identified as Ixodes persulcatus (N = 13), Dermacentor silvarum (N = 9), and Haemaphysalis concinna (N = 4) by both morphology and molecular identification by analyzing the partial COI gene.

After amplification, sequencing of the PCR products and further blast showed that eleven ticks (42.3%) tested positive for at least one causative agent in the three above-mentioned ticks (Table 2). Totally, four pathogens were identified, namely R. raoultii, Candidatus R. tarasevichiae, Bo. garinii and Ba. venatorum. In addition, A. ovis, a potential zoonotic pathogen, was identified. Specifically, A. ovis was identified in one I. persulcatus. Rickettsia raoultii was detected in one I. persulcatus, three D. silvarum and one H. concinna, and Candidatus R. tarasevichiae in five I. persulcatus. Borrelia garinii was identified in three I. persulcatus, and Ba. venatorum in one D. silvarum and one H. concinna. In addition, one H. concinna tested positive for Candidatus R. principis, and one I. persulcatus positive for Ba. caballi. Because Candidatus R. principis belongs to the spotted fever group rickettsiae (SFGR), it has the potential to be pathogenic to humans and the positive sample was analyzed furtherly. In contrast, Ba. caballi has been confirmed to be non-pathogenic to humans and the positive sample was excluded for further analysis. Furthermore, co-infection with different pathogens in one tick was expected, being identified in three ticks (11.5%) (Table 2). Specifically, double infection with Bo. garinii and Candidatus R. tarasevichiae, was observed in two ticks, as well as Ba. caballi and Candidatus R. tarasevichiae in one tick. Moreover, quadruple infection with Bo. garinii, Candidatus R. tarasevichiae, A. ovis, and Ba. venatorum was also identified in one tick. However, no other pathogens were detected, even if A. phagocytophilum, A. capra, and E. chaffeensis, as well as SFTSV, are widely distributed in mainland China.

Table 2.

Pathogens detected in different tick species.

Pathogens Tick species
I. persulcatus D. silvarum H. concinna
A. ovis number 5
R. raoultii number 6 numbers 10, 13, 22 number 12
Candidatus R. tarasevichiae numbers 5, 9, 11, 15 and 16
Candidatus R. principis number 18
Bo. garinii numbers 5, 11 and 16
Ba. venatorum number 5 number 3

"-" indicates that ticks tested negative for the pathogen.

3.2. Molecular characterization of tick-borne pathogens

For A. ovis, one partial 16S rRNA gene sequence shared more than 99.0% nucleotide identities with those of A. ovis. Furthermore, the partial gltA gene sequence was also obtained, and presented the highest nucleotide identity of 99.6% with the strain Dongwangmang-goat-15 (MG869297) from Xi'an of China. Consistently, this sequence was most closely related to this strain in the phylogenetic tree (Fig. 1).

Fig. 1.

Fig. 1

Phylogenetic tree of the gltA gene sequences of the genus Anaplasma. Numbers at each node indicate bootstrap values. The tree was mid-point rooted for clarity and the scale bar represents the number of nucleotide substitutions per site. The taxa marked by circles depict taxa that provided sequences obtained in this study.

For genus Rickettsia, all eleven ompA gene sequences shared 74.6–100% nucleotide identities with each other. Specifically, five sequences shared 98.5–100% nucleotide identities with the known ones of R. raoultii, another five shared 99.0–100% nucleotide identities with the known ones of Candidatus R. tarasevichiae, and the last one shared 97.5–99.1% nucleotide identities with the known ones of Candidatus R. principis, respectively. Furthermore, the gltA gene sequences were also recovered from all the positive samples, and presented 90.8–100% nucleotide identities with each other. They shared 99.9% nucleotide identities with the three above-mentioned one validated and two candidate Rickettsia species, respectively. Interestingly, all the ompA gene sequences of Candidatus R. principis, including those herein, shared 97.6–98.3% nucleotide identities with that of Candidatus R. hongyuanensis clone tick61 from Sichuan Province of China [35]. Moreover, all the gltA gene sequences of Candidatus R. principis shared 100% nucleotide identities with that of Candidatus R. hongyuanensis clone tick61. In the phylogenetic tree of the polymorphisms from the ompA and gltA genes, eleven sequences were classified into three groups, corresponding to R. raoultii, Candidatus R. tarasevichiae, and Candidatus R. principis, respectively (Fig. 2). Especially, Weichang-HcRp18 clustered with both the strains Huaian-HF of Candidatus R. principis (from Jiangsu province of China) and Candidatus R. hongyuanensis clone tick61.

Fig. 2.

Fig. 2

Phylogenetic tree based on the polymorphisms from the ompA and gltA genes sequences of the genus Rickettsia. The legend follows that of Fig. 1.

All three newly generated flagellin gene sequences from genus Borrelia had the highest nucleotide identities with the known sequences of Bo. garinii (98.0–100%). The remarkable thing is that the flagellin gene sequences of Weichang-IpBg5 and Weichang-IpBg11 shared the highest nucleotide identity with that of the strain JEM5 (D63370) from Japan, and Weichang-IpBg11 with the isolate BgVir from Russian (CP003151). In the phylogenetic tree, these three sequences also were clustered with the known flagellin gene sequences of Bo. garinii (Fig. 3). Specifically, Weichang-IpBg5 and Weichang-IpBg11 exhibited the closest relationship with the strain JEM5, and Weichang-IpBg11 with the isolate BgVir.

Fig. 3.

Fig. 3

Phylogenetic tree based on the flagellin gene sequences of the genus Borrelia. The legend follows that of Fig. 1.

Two 18S rRNA gene sequences of Ba. venatorum shared 99.7% nucleotide identity with each other, and had the highest nucleotide identities with the known sequences of Ba. venatorum (99.7–100%). Furthermore, the partial ITS sequences recovered from these two positive samples shared 100% nucleotide identities with that of the Ba. venatorum strain HLJ602 (KU377434). Moreover, the partial cytb gene sequence was obtained from one positive sample and shared the highest nucleotide identities of approximately 81% with that of Ba. gibsoni due to the absence of cytb gene sequence of Ba. venatorum in GenBank database. Consistent with the similarity analysis, the 18S gene sequences recovered in this study were clustered with Ba. venatorum in the phylogenetic tree (Fig. 4).

Fig. 4.

Fig. 4

Phylogenetic tree based on the 18S gene sequences of the genus Babesia. The legend follows that of Fig. 1.

4. Discussion

This is the first study performed to investigate the presence of tick-borne human pathogens in human-parasitizing ticks in China. In previous study, except for R. raoultii, Candidatus R. tarasevichiae, Candidatus R. hebeiii, and Bo. burgdorferi, no other tick-borne human pathogens have been reported in Hebei Province, China, although at least 14 tick species exist [2,3]. Hence, molecular identification of tick-borne human pathogens in tick are needed. Our results provide the first evidence of the presence of Anaplasma and Babesia species pathogenic to humans in Hebei province, China, and also suggest Rickettsia spp. were the most common human causative agents. Our findings provide insights into the distribution and endemicity of these tick-borne agents. In addition, co-infection with different pathogens in one tick was observed. Over the past decade, a great number of metagenomic studies in ticks were performed and diverse viruses, bacterial and protozoa were identified, and these studies have mainly focused on the virus identification [36,37,38,39,40,41]. However, the majority of these tick-borne microorganisms are not pathogenic to humans. Therefore, in this study, the pathogens were identified by PCR targeting the specific causative agent from ticks parasitizing humans.

In this study, R. raoultii was mainly identified in D. silvarum, consistent with the close association between R. raoultii and Dermacentor spp [42]. In addition, R. raoultii identified I. persulcatus and H. concinna herein, in line with previous studies that R. raoultii has been identified in Heilongjiang Province of China, and Russian Far East [43,44]. Consistent with the close association between Candidatus R. tarasevichiae and I. persulcatus [2,3], all Candidatus R. tarasevichiae were identified in I. persulcatus tick in this study. In the current study, only A. ovis was identified from one I. persulcatus, Ba. venatorum in I. persulcatus and Ha. concinna, Bo. garinii in I. persulcatus, consistent with the previous studies [3,45].

Candidatus R. principis, a Rickettsia species of unknown pathogenicity, was first identified in H. japonica in Russian Far East [46]. Since then, this candidate Rickettsia species was found in H. concinna and H. japonica ticks again [44]. In China, it was identified in H. qinghaiensis in Gansu [47], H. danieli in Xinjiang Uygur Autonomous Region [48] and H. flava in Jiangsu [49]. In this study, Candidatus R. principis was identified in H. concinna in Hebei province. In 2022, Candidatus R. hongyuanensis, a novel Rickettsia species was identified in H. qinghaiensis in Sichuan, Southwest China [35]. Based on the criteria suggested by Fournier et al. [50] and nucleotide identity of the gltA and ompA genes between Candidatus R. hongyuanensis and Candidatus R. principis, these two candidate Rickettsia species are actually the same species. Totally, Candidatus R. principis has been identified in northern and southwest China, consistent with the distribution of the tick vectors. In addition, the above-mentioned Haemaphysalis spp., the vectors of Candidatus R. principis, are widely distributed in northern China other than Hebei, Gansu, Jiangsu provinces and Xinjiang Uygur Autonomous Region [51], hence, this candidate Rickettsia species may be widely distributed in northern China than it has been identified. Moreover, although Candidatus R. principis is not associated with human cases, it belongs to Spotted fever group Rickettsiae (SFGR) in genus Rickettsia, most of which are pathogenic to humans. Therefore, its pathogenicity should be further assessed.

In China, R. heilongjiangensis, R. sibirica, R. monacensis, A. phagocytophilum, A. capra, E. chaffeensis, Candidatus N. mikurensis, Bo. burgdorferi, Bo. afzelii, Bo. bavariensis, Bo. valaisiana, Bo. miyamotoi, Bo. bissettii, Ba. microti, Ba. divergens, Ba. crassa-like, TBEV, SFSTV, JMTV, and ALSV have been identified in I. persulcatus; R. heilongjiangensis, R. sibirica, R. slovaca, A. phagocytophilum, E. chaffeensis, Candidatus N. mikurensis, Bo. burgdorferi, Bo. afzelii, Bo. bavariensis, SFSTV, and ALSV identified in D. silvarum; and R. heilongjiangensis, A. phagocytophilum, E. chaffeensis, Candidatus N. mikurensis, Bo. burgdorferi, Bo. afzelii, Bo. bavariensis, Bo. miyamotoi, Ba. microti, Ba. divergens, Ba. crassa-like, TBEV, SFSTV, and JMTV identified in H. concinna [2,3]. However, none of them were detected in this study probably due to the limited number of tick samples, which causes an incomplete picture of the human pathogens in local ticks and makes it impossible to analyze the prevalence elements of the identified pathogens. Hence, more tick specimens should be collected to determine their circulation. In this study, another limitation is that no sample was collected from humans bitten by ticks; therefore, further epidemiological studies in the human populations are needed to assess the scope of this threat to human health.

5. Conclusion

In summary, molecular identification of human pathogens in the limited number of ticks collected from humans was performed and the results reveal the presence of four validated tick-borne causative agents, namely R. roaultii, Candidatus R. tarasevichiae, Ba. venatorum and Bo. garinii, and A. ovis with potential zoonotic, in Hebei, China. Our results suggest that all these causative agents could have posed a public health threat in the human population in Hebei Province, China, and would be helpful for both the diagnosis and prevention of tick-borne disease.

Author contribution statement

Jing Xue: Performed the experiments; Analyzed and interpreted the data; wrote the paper.

Qing Ren: Performed the experiments.

Xiu-Li Yang: Performed the experiments.

Jiangli Wang: Performed the experiments.

Guangcheng Xie: Analyzed and interpreted the data.

Luanying Du: Analyzed and interpreted the data.

Wen-Ping Guo: Conceived and designed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.

Funding statement

Dr Wen-Ping Guo was supported by Young Talent Program of Higher School in Hebei Province [BJ2020024], Hebei Natural Science Foundation [C2022406003], Scientific Research Foundation for High-level Talents of Chengde Medical University [202001], Key discipline construction of colleges and universities in Hebei Province [Ji Jiao Gao No. [20134].

Data availability statement

Data associated with this study has been deposited at GenBank under the accession numbers OP363198-OP363200, OP363203-OP363204, OP382364-OP382390.

Declaration of interest’s statement

The authors declare no competing interests.

Additional information

No additional information is available for this paper.

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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

Data associated with this study has been deposited at GenBank under the accession numbers OP363198-OP363200, OP363203-OP363204, OP382364-OP382390.


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