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Borrelia puertoricensis in opossums (Didelphis marsupialis) from Colombia

Abstract

Background

The genus Borrelia comprises pathogenic species of bacteria that pose a significant risk to public health. Borrelia spp. are emerging or reemerging infectious agents worldwide with complex transmission cycles, and many species use rodents as vertebrate reservoir hosts. Spirochetes morphologically compatible with Borrelia have been recurrently observed in opossums; however, there is currently a lack of genetic evidence confirming infection or supporting that these marsupials are hosts of Borrelia spirochetes.

Methods

During 2017, 53 serum samples of Didelphis marsupialis from the municipality of Colosó (department of Sucre, Colombia) were collected and allocated in a serum bank. DNA extracted from the serum samples was submitted to a Borrelia genus-specific real-time PCR targeting the 16S rRNA gene. Positive samples were subsequently derived from semi-nested PCR protocols to obtain large fragments of the 16S rRNA and flaB genes. Obtained amplicons were subjected to Sanger sequencing. One positive sample was randomly selected for next-generation sequencing (NGS). Obtained reads were mapped to genomes of Borrelia spp. and sequences of two genes used in a multilocus sequence typing scheme retrieved for taxonomic assignment and phylogenetic analyses.

Results

Overall, 18.8% (10/53) of the samples were positive by qPCR. Of them, 80% (8/10) and 60% (6/10) were positive for the 16S rRNA and flaB genes after semi-nested PCRs, respectively. Bioinformatic analysis of one sample sequenced with NGS yielded 22 reads of genus Borrelia with different sizes. Two housekeeping genes, rplB and pyrG, were recovered. Nucleotide pairwise comparisons and phylogenetic analyses of 16S rRNA, flaB, rplB and pyrG genes showed that the Borrelia sp. found in opossums from Colosó corresponded to Borrelia puertoricensis.

Conclusions

We describe the first molecular evidence to our knowledge of B. puertoricensis in Colombia, specifically in opossums, and the first detection of this spirochete in a vertebrate host since its isolation from Ornithodoros puertoricensis in Panama. This detection is also relevant because of the epidemiological importance of opossums as reservoirs of zoonotic diseases to humans.

Graphical abstract

Background

Bacteria of the genus Borrelia are agents of emerging and re-emerging infectious diseases of domestic animals and humans and pose a threat to public health [1]. The main vectors of Borrelia bacteria are hard ticks of genus Amblyomma, Ixodes and Rhipicephalus; soft ticks of genus Argas and Ornithodoros; and the human clothing louse Pediculus humanus humanus [2].

From a genetic point of view, the genus Borrelia can be classified into three monophyletic groups: the Borrelia burgdorferi sensu lato (Bb) complex, relapsing fever (RF) group and a third group of spirochetes associated with reptiles and echidna (Tachyglossus aculeatus) [3].

During the twentieth century in South America, Borrelia venezuelensis transmitted by Ornithodoros rudis and Borrelia recurrentis transmitted by the human louse were important pathogens in humans [4]. Wild mammals such as armadillos, monkeys and opossums were implicated as possible hosts [5,6,7] but never confirmed through molecular techniques.

Historically, the first report of spirochetes in opossums comes from Panama in 1931, with the animals showing an infection rate of 9.8% [7]. Subsequently, in 1946, Pifano detected spirochetes in thick blood films of opossums Didelphis aurita from Venezuela [8]. Although the vector of those spirochetes has yet to be confirmed, O. puertoricensis, a widely distributed tick in Central and northern South America, has been collected on Didelphis virginiana in Mexico [9]. Although O. puertoricensis remains to be confirmed as a vector of spirochetes, in Panama, Bermúdez et al. isolated a new RF group Borrelia (B. puertoricensis) from O. puertoricensis collected in burrows frequented by Dasyprocta punctata [10].

Despite opossums carry microorganisms of public health importance such as Trypanosoma, Toxoplasma, Leishmania, Rickettsia and Leptospira [11, 12], reports of Borrelia spp. in these animals are obscure and lack genetic confirmation. To elucidate whether opossums could carry Borrelia spirochetes, in this study we performed genetic screenings to detect Borrelia DNA in serum from opossums derived from a bank of samples in Colombia.

Materials and methods

Study area and capture of opossums

Four field trips were carried out on 5 days each in February, May and September 2017 and January 2018 in a rural area of the municipality of Colosó, department of Sucre (75°20′ 58.27″W–9°29′ 58.60″N) (Fig. 1). Ten Tomahawk-like traps baited with shells and chicken bones were set. Fifty-three captured opossums were identified as Didelphis marsupialis. Blood samples were collected in vacutainer tubes with EDTA after puncturing the caudal vein, and the animals were released into the wild. Serum was obtained through centrifugation. The capture of opossums was carried out with the permission of the National Authority for Environmental Licenses (ANLA, resolution no. 00914). Until use, serum samples were stored at the Instituto de Investigaciones Biológicas del Trópico of the University of Cordoba in Monteria, Northern Colombia.

Fig. 1
figure 1

A Map of South America showing the location of the department of Sucre within Colombia. B Map of the Department of Sucre showing the municipality investigated. C Sampled municipality in the department of Sucre showing the opossum collection site

Molecular analyses

DNA extraction was performed on opossum sera using the GenJET Genomic DNA Purification kit (Thermo Scientific) following the manufacturer's instructions. A conventional PCR (cPCR) targeting the mammalian ß-actin gene was implemented as internal control for each extraction [13]. To detect Borrelia DNA, samples were subjected to real-time PCR (qPCR) targeting the Borrelia 16S rRNA gene as reported elsewhere [14]. Samples with cycle threshold values (Ct) ≤ 36 were considered positive [14]. Positive samples were then subjected to semi-nested PCR protocols to amplify longer fragments of the 16S rRNA and also the flaB gene [15, 16]. Borrelia anserina PL (DQ849625) genomic DNA was used as a positive control [17] and molecular grade water as a negative control. Amplicons of the expected size were Sanger sequenced at Macrogen (Seoul, Korea) (Table 1).

Table 1 Primers used to amplify Borrelia genes in this study

Short read sequencing

One sample positive for Borrelia detection was randomly selected to perform sequencing with the DNBSEQ-G50RS High-throughput (Rapid) technology (MGI, China). To this effect the MGIEasy FS DNA Prep kit (BGI, China) was employed according to the manufacturer's instructions. To obtain the opossum serum metagenome, shotgun sequencing was performed with a read length of 150 bp, paired end, with 2.97-Gb reads [18].

Bioinformatic analyses

Paired-end sequence reads were retrieved in fastq format and subjected to quality control. Low-quality sequences (Phred score < Q15), short reads (shorter than 15 bp) and adapter sequences were removed using fastp [19]. The quality of the reads was checked with FastQC [20]. Sequences corresponding to the host DNA (D. marsupialis) were removed by mapping the libraries against Monodelphis domestica (GCF_027887165.1) reference genome using Bowtie2. Notably, M. domestica is the sole species of the Didelphidae family with an available genome [21]. Unaligned reads were extracted with samtools [22] to perform a de novo metagenomic assembly with MEGAHIT using default parameters and a minimum contig length of 200 base pair (bp) [23]. The obtained contigs were then compared with BLASTn (using an E-value cutoff 10e−3) [24], and those aligned to the Borrelia genus were mapped against a multireference database consisting of representative Borrelia sequences (NC015921, NZCP028884, NZCP025785, NZCP036914, NZCP073148, NZA-YOT01000146, NZAYOU01000121, NZAZIT01000001, NC011244, NZLN609267, NZCP075379, NZCP073159, NC008710, NZCP073220) with Bowtie2. Gene annotation was done using Prokka [25] with a reference fasta (Genbank ID CP075379), minimum contig length of 200 bp and a Borrelia genus-specific database. Prodigal-metagenome option was used alongside Prokka to improve gene prediction. All the bioinformatic workflow was carried out in the Galaxy Project’s platform [26]. Sequences belonging to a multilocus sequence typing scheme commonly applied to Borrelia spp. (https://pubmlst.org) were selected for taxonomic assignment and building phylogenetic trees.

Phylogenetic analysis

Sequences generated by both Sanger and NGS were assembled in Ugene, and consensuses were compared against sequences reported in GenBank using BLASTn [24]. Alignments were built with Clustal Omega [27] with sequences downloaded from GenBank for each of the analyzed genes [28]. Aligned sequences were manually trimmed to match the query sequence lengths. Phylogenetic reconstructions were performed in IQtree with the maximum likelihood method; the best-fit nucleotide substitution model was obtained using ModelFinder [29]. The trees were reconstructed using 1000 bootstraps [30] and edited with iTOL v5 [31].

Results

Amplicons of the expected size for the ß-actin gene were obtained in all the samples. Overall, 18.8% (10/53) were positive for Borrelia spp. 16S rRNA gene by qPCR with Ct ranging between 23 and 33. Of those positive samples, 80% (8/10) and 60% (6/10) were positive for the 16S rRNA and flaB genes by semi-nested PCR, respectively. The sizes of the obtained amplicons were 1112–1474 bp for the 16S rRNA gene and 627–636 bp for the flaB gene (Table 1). Twenty-two gene segments with sizes ranging between 218–1460 bp of 81.82–100% of identity with B. puertoricensis were retrieved from the sole sample submitted to NGS sequencing (see Additional file 1: Table S1, S2). The sequences were deposited in GenBank with the accession numbers OQ944473–OQ944479, OQ725656–OQ725662 and OQ871584.

Of the genes retrieved by the bioinformatic analyses, the 50S ribosomal protein L2 gene (rplB) and the CTP synthase (pyrG) were used in the taxonomic assignment and phylogenetic analysis since they belong to a multilocus sequence typing scheme of the genus Borrelia [32]. BLASTn comparisons performed to the 16S rRNA, flaB, rplB and pyrG gene sequences showed 99.2–100% identity with B. puertoricensis isolated from O. puertoricensis of Panama [10]. For the phylogenetic reconstructions, 78, 39, 14 and 14 sequences were downloaded for the alignments of the 16S rRNA, flaB, rplB and pyrG genes, respectively. All four phylogenies depicted a logical topology grouping the species into the B. burgdorferi sensu lato group, transitional group and FR group. The sequences of Borrelia retrieved in this study clustered into a monophyletic clade with B. puertoricensis with branch support ranging between 82 and 100% (Fig. 2).

Fig. 2
figure 2

A Phylogenetic tree of the 16S rRNA gene built with 78 sequences (71 downloaded from Genbank and 6 obtained in the present study). B Phylogenetic tree of the flaB gene built with 39 sequences (33 downloaded from Genbank and obtained in the present study). These two trees were rooted with Brachyspira pilosicoli. C Phylogenetic tree of the pyrG gene built with 14 sequences (13 downloaded from Genbank 1 obtained in the present study). D Phylogenetic tree of the rplB gene built with 14 sequences (13 downloaded from Genbank 1 obtained in the present study). These two trees were rooted with Borrelia bissetti. The sequences generated this study are found in the tree colored in red. The trees were built using the TPM3 + F + I + G4 for the 16S rRNA and flaB gene, TR + F + G4 for the pyrG gene and K3PU + F + G4 for the rplB model as selected based on BIC (16S rRNA = 10,831.821, flaB = 7940.507 pyrG = 14,184.493, rplB = 6816.236)

Discussion

Phylogenetic analyses performed in this study using the 16S rRNA, flaB, rplB and pyrG gene demonstrated that the detected species correspond to B. puertoricensis, which was recently isolated from the tick O. puertoricensis collected from burrows frequented by D. punctata in Panama [10]. In the study of Bermudez et al., the taxonomic position of B. puertoricensis was evaluated by BLASTn comparisons and by concatenating four loci (IGS, rrs, flaB and gyrB) to perform phylogenetic analyses, which collectively showed that the isolated spirochete was closely related with Borrelia turicatae and B. parkeri [10]. Although in our study the gene sequences of the phylogenies were not exactly the same, our results agree with those obtained by Bermúdez et al. in that they conserve the same topology despite evaluating different genes independently (Fig. 2).

This study provides the first molecular characterization of a Borrelia sp. in opossums. However, the first evidence of opossums as potential hosts of Borrelia came with the observation of spirochetes in blood of D. marsupialis in Panama in 1931 [7]. At that time, 61 opossums were screened and 6 (9.8%) were positive [7]. Later, in 1946, Pifano detected spirochetes in thick blood smears of D. aurita in Venezuela, and he attributed the species to “Spirocheta venezuelensis” [8], which is currently recognized as a synonym of B. venezuelensis. These previous reports were based only on morphology and corresponded to the sole evidence of Borrelia in opossums along the American continent.

Although spirochetes of genus Borrelia have been observed and now genetically identified as B. puertoricensis, at least in one opossum of this study, the vector remains unknown. However, laboratory experiments show that O. puertoricensis transmits B. puertoricensis to mice [10]. Interestingly, Ballados-González et al. collected O. puertoricensis in opossums (D. virginiana) from Mexico [9], a fact that suggests that this soft tick species could be the vector of B. puertoricensis to opossums. However, in Colombia, soft ticks parasitizing opossums have not been collected.

Given that in our study B. puertoricensis was detected in serum of the opossums, these mammals could be involved as reservoir hosts for these microorganisms; however, more studies are needed to confirm this hypothesis. Opossums have synanthropic habits and spread pathogens in nature [11, 12]. Indeed, these animals are important in the transmission cycles of zoonotic diseases such as trypanosomiasis, toxoplasmosis, leishmaniasis, rickettsiosis and leptospirosis [11, 12]. Therefore, it would be important to know the epidemiological role that opossums may play in the transmission cycles of RF Borrelia and to further elucidate the vector of the spirochetes (e.g., Ornithodoros ticks).

This study demonstrates the presence RF group B. puertoricensis in opossums from Colombia through the sequencing of four genes of the spirochete from serum of infected animals. In Colombia, the study of RF group spirochetes dates from the first half of the twentieth century [4]. Our results highlight that RF group spirochetes of genus Borrelia do circulate in wild animals, and attention should be paid to opossums as potential reservoirs.

Availability of data and materials

Sequences are available in GenBank with accession numbers OQ944473–OQ944479, OQ725656–OQ725662 and OQ871584.

Abbreviations

Bb:

Borrelia burgdorferi sensu lato

RF:

Borreliae of the relapsing fever

References

  1. Oppler Z, Keeffe K, McCoy K, Brisson D. Evolutionary genetics of Borrelia. Curr Issues Mol Biol. 2021;42:97–112. https://doi.org/10.21775/cimb.042.097.2.

    Article  PubMed  Google Scholar 

  2. Margos G, Fingerle V, Cutler S, Gofton A, Stevenson B, Estrada-Peña A. Controversies in bacterial taxonomy: the example of the genus Borrelia. Ticks Tick Borne Dis. 2020;11:101335. https://doi.org/10.1016/j.ttbdis.2019.101335.

    Article  PubMed  Google Scholar 

  3. Margos G, Gofton A, Wibberg D, Dangel A, Marosevic D. The genus Borrelia reloaded. PLoS ONE. 2018;13:1–14. https://doi.org/10.1371/journal.pone.0208432.

    Article  CAS  Google Scholar 

  4. Faccini-Martínez ÁA, Silva-Ramos CR, Santodomingo AM, Ramírez-Hernández A, Costa FB, Labruna MB, et al. Historical overview and update on relapsing fever group Borrelia in Latin America. Parasit Vectors. 2022;15:196. https://doi.org/10.1186/s13071-022-05289-5.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Thomas R, Santodomingo AM, Muñoz-Leal S, Silva-De la Fuente MC, Llanos-Soto S, Salas LM, et al. Rodents as potential reservoirs for Borrelia spp. In northern Chile. Rev Bras Parasitol Vet. 2020;29:1–10. https://doi.org/10.1590/S1984-29612020029.

    Article  Google Scholar 

  6. Muñoz-Leal S, Faccini-Martínez ÁA, Pérez-Torres J, Chala-Quintero SM, Herrera-Sepúlveda MT, Cuervo C, et al. Novel Borrelia genotypes in bats from the Macaregua Cave, Colombia. Zoonoses Public Health. 2021;68:12–8. https://doi.org/10.1111/zph.12789.

    Article  PubMed  CAS  Google Scholar 

  7. Dunn LH, Clark HC. Notes on relapsing fever in Panama with special reference to animal hosts. Am J Trop Med. 1933;1:201–9. https://doi.org/10.4269/ajtmh.1933.s1-13.201.

    Article  Google Scholar 

  8. Pifano F. Investigaciones para el estudio de la fiebre recurrente en Venezuela. Rev de San y Asist Social. 1941;6:787–811.

    Google Scholar 

  9. Ballados-González GG, Bravo-Ramos JL, Grostieta E, Andrade-López AN, Ramos-Vázquez JR, Chong-Guzmán LA, et al. Confirmation of the presence of Rickettsia felis infecting Ornithodoros puertoricensis in Mexico. Med Vet Entomol. 2022;37:219–27. https://doi.org/10.1111/mve.12624.

    Article  PubMed  CAS  Google Scholar 

  10. Bermúdez SE, Armstrong BA, Domínguez L, Krishnavajhala A, Kneubehl AR, Gunter SM, et al. Isolation and genetic characterization of a relapsing fever spirochete isolated from Ornithodoros puertoricensis collected in central Panama. PLoS Negl Trop Dis. 2021;15:e0009642. https://doi.org/10.1371/journal.pntd.0009642.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  11. Bezerra-Santos MA, Ramos RAN, Campos AK, Dantas-Torres F, Otranto D. Didelphis spp. opossums and their parasites in the Americas: A One Health perspective. Parasitol Res. 2021;120:4091–111. https://doi.org/10.1007/s00436-021-07072-4.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Horta MC, Moraes-Filho J, Casagrande RA, Saito TB, Rosa SC, Ogrzewalska M, et al. Experimental infection of opossums Didelphis aurita by Rickettsia rickettsii and evaluation of the transmission of the infection to ticks Amblyomma cajennense. Vector Borne Zoonotic Dis. 2009;9:109–18. https://doi.org/10.1089/vbz.2008.0114.

    Article  PubMed  Google Scholar 

  13. Dean D, Rothschild J, Ruettger A, Prasad R, Sachse K. Zoonotic Chlamydiaceae species associated with trachoma, Nepal. Emerg Infect Dis. 2013;19:1948–55. https://doi.org/10.3201/eid1912.130656.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Parola P, Diatta G, Socolovschi C, Mediannikov O, Tall A, Bassene H, et al. Tick-borne relapsing fever borreliosis, rural Senegal. Emerg Infect Dis. 2011;17:883–5. https://doi.org/10.3201/eid1705.100573.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ras N, Lascola B, Postic D, Cutler S, Rodhain F, Baranton G, et al. Phylogenesis of relapsing fever Borrelia spp. Int J Syst Bacteriol. 1996;46:859–65. https://doi.org/10.1099/00207713-46-4-859.

    Article  PubMed  CAS  Google Scholar 

  16. Stromdahl E, Williamson P, Kollars T, Evans S, Barry R, Vince M, et al. Evidence of Borrelia lonestari DNA in Amblyomma americanum (Acari: Ixodidae) removed from Humans. J Clin Microbiol. 2003;41:5557–62. https://doi.org/10.1128/JCM.41.12.5557-5562.2003.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Ataliba AC, Resende JS, Yoshinari N, Labruna MB. Isolation and molecular characterization of a Brazilian strain of Borrelia anserina, the agent of fowl spirochaetosis. Res Vet Sci. 2007;83:145–9. https://doi.org/10.1016/j.rvsc.2006.11.014.

    Article  PubMed  CAS  Google Scholar 

  18. MGIEasy FS DNA Library Prep Set-MGI-leading life science innovation. https://en.mgi-tech.com/products/reagents_info/id/7. Accessed May 4, 2023.

  19. Chen S, Zhou Y, Chen Y, Gu J. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34:i884–90. https://doi.org/10.1093/bioinformatics/bty560.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Babraham Bioinformatics-FastQC a quality control tool for high throughput sequence data. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Accessed May 4, 2023.

  21. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9. https://doi.org/10.1038/nmeth.1923.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25:2078–9. https://doi.org/10.1093/bioinformatics/btp352.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Li D, Liu CM, Luo R, Sadakane K, Lam TW. MEGAHIT: An ultra-fast single-node solution for large and complex meta-genomics assembly via succinct de Bruijn graph. Bioinformatics. 2015;31:1674–6. https://doi.org/10.1093/bioinformatics/btv033.

    Article  PubMed  CAS  Google Scholar 

  24. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10. https://doi.org/10.1016/S0022-2836(05)80360-2.

    Article  PubMed  CAS  Google Scholar 

  25. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–9. https://doi.org/10.1093/bioinformatics/btu153.

    Article  PubMed  CAS  Google Scholar 

  26. Broom BM, Ryan MC, Brown RE, Ikeda F, Stucky M, Kane DW, et al. A galaxy implementation of next-generation clustered heatmaps for interactive exploration of molecular profiling data. Cancer Res. 2017;77:23–6. https://doi.org/10.1158/0008-5472.CAN-17-0318.

    Article  CAS  Google Scholar 

  27. Sievers F, Higgins DG. Clustal Omega for making accurate alignments of many protein sequences. Protein Sci. 2018;27:135–45. https://doi.org/10.1002/pro.3290.

    Article  PubMed  CAS  Google Scholar 

  28. Kalyaanamoorthy S, Minh BQ, Wong TKF, Von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14:587–9. https://doi.org/10.1038/nmeth.4285.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL. GenBank: update. Nucleic Acids Res. 2004;32:D23–6. https://doi.org/10.1093/nar/gkh045.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Nguyen LT, Schmidt HA, Von Haeseler A, Minh BQ. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32:268–74. https://doi.org/10.1093/molbev/msu300.

    Article  PubMed  CAS  Google Scholar 

  31. Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49:W293–6. https://doi.org/10.1093/nar/gkab301.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Margos G, Gatewood AG, Aanensen DM, Hanincová K, Terekhova D, Vollmer SA, et al. MLST of housekeeping genes captures geographic population structure and suggests a European origin of Borrelia burgdorferi. Proc Natl Acad Sci USA. 2008;105:8730–5. https://doi.org/10.1073/pnas.0800323105.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank the University of Córdoba, where this project was carried out, Yeimi López for making the map in Fig. 1 and Marcelo Labruna for providing the positive control to run the PCRs. SML was funded by Fondecyt Iniciación 11220177.

Funding

This research was financed by the science, technology and innovation fund, BPIN 2020000100322. Research project: “Fortalecimiento de las capacidades de investigación con relación a las enfermedades transmitidas por vectores de las universidades de Córdoba y Cesar 2020 -2023 en Córdoba, Cesar.” This entity only participated with the financial resources.

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Contributions

YL, SeMu, SaMa and ÁAFM designed the initial study. AC and VC carried out the field work. YL, MM and JR performed DNA extraction, PCR and sequencing. YL, SeMu and ÁAFM implemented the phylogenetic analyses. RR and YL performed bioinformatics analyses. YL, SeMu and ÁAFM wrote the first draft of the manuscript. All authors contributed to the interpretation and review of the data.

Corresponding author

Correspondence to Salim Mattar.

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Ethics approval and consent to participate

The capture of opossums was carried out with the permission of the National Authority of Environmental Licenses [ANLA], resolution no. 00914.

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Competing interests

Sebastián Muñoz-Leal is an Associate Editor for Parasites & Vectors. The authors declare that they have no other competing interests.

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Supplementary Information

Additional file 1: Table S1.

Borrelia puertoricensis annotated genes. Table S2. Results of qPCR for of Borrelia-positive samples, 16S rRNA and flaB PCR.

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López, Y., Faccini-Martínez, Á.A., Muñoz-Leal, S. et al. Borrelia puertoricensis in opossums (Didelphis marsupialis) from Colombia. Parasites Vectors 16, 448 (2023). https://doi.org/10.1186/s13071-023-06016-4

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