Research Article

Multiplex Real-Time PCR Diagnostic of Relapsing Fevers in Africa

  • Haitham Elbir,

    Affiliation: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France

  • Mireille Henry,

    Affiliation: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France

  • Georges Diatta,

    Affiliation: URMITE, UMR IRD 198 CNRS 7278, Dakar, Senegal

  • Oleg Mediannikov,

    Affiliations: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France, URMITE, UMR IRD 198 CNRS 7278, Dakar, Senegal

  • Cheikh Sokhna,

    Affiliation: URMITE, UMR IRD 198 CNRS 7278, Dakar, Senegal

  • Adama Tall,

    Affiliation: Institute Pasteur, Dakar, Senegal

  • Cristina Socolovschi,

    Affiliation: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France

  • Sally J. Cutler,

    Affiliation: School of Health, Sports and Bioscience, University of East London, London, United Kingdom

  • Kassahum D. Bilcha,

    Affiliation: College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

  • Jemal Ali,

    Affiliation: College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

  • Dayana Campelo,

    Affiliation: Parasitology Section, School of Chemistry and Molecular Bioscience, The University of Queensland, Brisbane, Australia

  • Steven C. Barker,

    Affiliation: Parasitology Section, School of Chemistry and Molecular Bioscience, The University of Queensland, Brisbane, Australia

  • Didier Raoult,

    Affiliation: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France

  • Michel Drancourt mail

    Affiliation: Aix Marseille Université, URMITE, UMR63, CNRS 7278, IRD 198, Inserm 1095, Marseille, France

  • Published: January 31, 2013
  • DOI: 10.1371/journal.pntd.0002042



In Africa, relapsing fever borreliae are neglected arthropod-borne pathogens causing mild to deadly septicemia and miscarriage. The closely related Borrelia crocidurae, Borrelia duttonii, Borrelia recurrentis and Borrelia hispanica are rarely diagnosed at the species level, hampering refined epidemiological and clinical knowledge of the relapsing fevers. It would be hugely beneficial to have simultaneous detection and identification of Borrelia to species level directly from clinical samples.

Methodology/Principal Findings

We designed a multiplex real-time PCR protocol targeting the 16S rRNA gene detecting all four Borrelia, the glpQ gene specifically detecting B. crocidurae, the recN gene specifically detecting B. duttonii/B. recurrentis and the recC gene specifically detecting B. hispanica. Compared to combined 16S rRNA gene and flaB gene sequencing as the gold standard, multiplex real-time PCR analyses of 171 Borrelia-positive and 101 Borrelia-negative control blood specimens yielded 100% sensitivity and specificity for B. duttonii/B. recurrentis and B. hispanica and 99% sensitivity and specificity for B. crocidurae.


The multiplex real-time PCR developed in this study is a rapid technique for both molecular detection and speciation of relapsing fever borreliae from blood in Africa. It could be incorporated in point-of-care laboratory to confirm diagnosis and provide evidence of the burden of infection attributed to different species of known or potentially novel relapsing fever borreliae.

Author Summary

Four cultured Borrelia species are responsible for relapsing fever in Africa. Three species (Borrelia crocidurae, Borrelia duttonii, Borrelia hispanica) are transmitted by ticks, whereas Borrelia recurrentis is transmitted by the body lice. These Borrelia species result in febrile infection mimicking malaria with varying severity, but particularly devastating during pregnancy where infection will often cause miscarriage. The lack of comprehensive laboratory tools for detection and speciation of these borreliae limits both medical management of patients and knowledge of the epidemiology of relapsing fevers in Africa. Based on genome analysis, we develop herein a multiplex real-time PCR assay targeting the 16S rRNA gene detecting all four borreliae, the glpQ gene detecting B. croidurae, the recN gene detecting B. duttonii/B. recurrentis and recC gene detecting B. hispanica. Compared to gold standard, this multiplex real-time PCR assay yielded 100% sensitivity and specificity for B. duttonii/B. reccurentis and B. hispanica and 99% sensitivity and specificity for B. crocidurae, when applied to 398 blood specimens. These findings provide the proof-of-concept that multiplex real-time PCR is a new tool for diagnosis of relapsing fever borreliae in Africa.


In Africa, relapsing fevers are neglected febrile infections caused by Ornithodoros spp. tick-borne borreliae (Borrelia crocidurae, Borrelia hispanica and Borrelia duttonii) and the Pediculus humanus louse-borne Borrelia recurrentis [1], [2]. Also, poorly characterized, yet uncultured new “Borrelia mvumi” species has been reported in acute patient's blood and Ornithodoros porcinus argasid ticks in Tanzania [3]. The relative geographic specificity of each Borrelia species has been challenged by coexistence of two species in the same region [4]. B. hispanica prevalence was reported to be 20.5% among febrile patients in Northwestern Morocco [5]; the prevalence of cases attributed to B. crocidurae among febrile patients is of 11 per 100 person-years in Senegal [1]. B. duttonii has been documented in Tanzania and B. recurrentis in Ethiopia [5], [6], [7], [8]. Relapsing fevers are of further concern in travelers returning from Africa in Europe [9], [10], [11].

Relapsing fevers are treatable infections but the severity of the disease ranges from asymptomatic to fatal if left untreated [12]. In Rwanda and in Tanzania the investigators found a 30% risk for pregnancy loss and a perinatal mortality rate of 15% [8], [13]. The prognosis depends in part on the causative species with the case-fatality ratio being higher for B. recurrentis infection than for the other infections [12]. However, the vast majority of patients are diagnosed on the basis of non-specific clinical features that overlap with those of malaria [4] and the poorly-sensitive, non-species specific microscopic observation of blood-borne Borrelia [1].

PCR-based tests have been therefore developed to improve the laboratory-based diagnosis of relapsing fevers in Africa [4]. In particular, real-time PCR targeting the 16S rRNA gene or the glpQ gene improved the sensitivity of the diagnosis when compared to microscopy [14], [15]. Also, we previously showed that PCR-sequencing intergenic spacers could be used for genotyping B. crocidurae, B. duttonii and B. recurrentis [16].

Here, we present the development and evaluation of a multiplex, quantitative real-time PCR detecting any relapsing fever Borrelia [14] and specifically B. crocidurae, B. hispanica and B. duttonii/B. recurrentis based on post-genomic analyses [16], [17]

Materials and Methods

Reference specimens and DNA extraction

B. crocidurae Achema strain, B. recurrentis A1 strain and B. duttonii Ly strain were grown in BSK-H medium (Sigma-Aldrich, Saint Quentin Fallavier, France) supplemented with heat-inactivated 10% rabbit serum (Eurobio, Courtaboeuf, France) before DNA extraction. B. hispanica DNA was directly extracted from two argasid ticks Ornithodoros erraticus sensu lato collected from Morocco. DNA was extracted from all specimens using QIAamp DNA Blood mini kit (QIAGEN, Hilden, Germany) according to the manufacturer's instructions. Reference identification of borreliae was made by combining the 16S rRNA gene and flaB gene sequencing [6], [18].

Clinical specimens and DNA extraction

Total blood DNA was extracted from 21 blood specimens found positive by microscopy collected in 1994 from patients with relapsing fever in Addis Ababa, Ethiopia, 18 specimens collected in Mvumi, Tanzania [19], 9 specimens collected in 2011 in Bahir Dah, Highlands of Ethiopia [19] and 224 blood specimens collected from febrile patients from Ndiop and Dielmo villages in Senegal between 2008 and 2012 where B. crocidurae is endemic.

Primers and probes design

Genome sequence of B. duttonii (GenBank accession number CP000976), B. recurrentis (GenBank accession number CP000993) and B. crocidurae (GenBank accession number CP003426.1) were downloaded from GenBank. Comparative genomic analyses were performed on the chromosomes in order to identify species-specific sequences. In addition, a 16SrRNA gene sequence-based system previously developed in our laboratory was used for Borrelia genus detection as previously described (14). Sequence alignments were performed using MULTALIN software for selection of each target sequence [20]. The primers and probes were constructed by using primer3 program at. Specificity of primers and probes were determined in-silico. Two different fluorescent dyes, VIC and FAM were used for labeling the probes.

Real-time PCR

The single real-time PCR experiment was performed on Roche Lightcycler (RocheDiagnostic, Maylan, France). The amplification program included two initial holds at 50°C for 2 min and 95°C for 15 min, followed by 40 cycles consisting of 95°C for 30 seconds and 60°C for 1 minute. Five µL of extracted DNA, 0.5 µL of each primer (10 pmol) and 0.5 µL of probe (10 pmol) were added to the 10 µL Quantitative PCR Master mix (Quantitec, Qiagen) and the volume was adjusted to 15 µL by adding distilled water. The multiplex real-time PCR was performed using a Stratagene Mx3000P real-time thermocycler (Agilent, Courbevoie, France) by adding five microliters of extracted DNA, 0.5 µL of each primer (10 pmol) and 0.5 µL of each probe (10 pmol) [1 labeled with FAM and 1 labeled with VIC] to 12.5 µL of Quantitative PCR Master mix 2X (Quantitec) and the final volume was adjusted to 20 µL by adding distilled water. Negative control consisting of DNA-free water was included every 10 tested specimens.

Real-time PCR specificity and sensitivity

To assess the specificity of the real-time PCR systems developed herein, DNA extracted from Borrelia burgdorferi, Borrelia hermsii, Borrelia parkeri, Coxiella burnetii, Bartonella henselae, Rickettsia africae, Rickettsia felis and Tropheryma whipplei were incorporated into real-time PCR using the experimental conditions described above. In order to determine sensitivity, a puc 57 plasmid was constructed containing the human albumin gene, a 129-bp recN gene fragment from B. duttonii, a 122-bp recC gene fragment from B. hispanica and a 110-bp glpQ gene fragment from B. crocidurae (Invitrogen, Saint Aubin, France) (Figure 1). Tenfold serial dilutions of this constructed puc 57 plasmid were prepared equivalent to 107 to 101 Borrelia organisms.


Figure 1. Sequence of the chimeric plasmid used as internal control in the real-time PCR.

Yellow characters; B. hispanica recC gene sequence; green characters; B. duttonii recN gene sequence; pink character; B. crocidurae glpQ gene sequence; Red characters; albumine gene sequence; probes are in blue; Colored boxes contain the primer and probe sequences.


Ethics statement

This study was approved by the IFR48 Ethic Committee. All patients provided informed written consent.


Species-specific primers and probes sequences

As a specific target for B. crocidurae, we selected glpQ encoding glycerophosphodiester phosphodiesterase that is conserved among relapsing fever borreliae but absent from Lyme disease borreliae and additionally possesses a B. crocidurae specific 4-bp single nucleotide polymorphisms (SNPs). We selected the chromosomal recN gene encoding DNA repair ATPase for B. duttonii/B. recurrentis, that is conserved among the relapsing fever group and absent in the Lyme disease group borreliae, and furthermore exhibits a 5-bp specific SNP. For B. hispanica, we selected recC gene encoding exodeoxyribonuclease V, present in both relapsing fever and Lyme disease group borreliae and exhibiting 4-bp species-specific SNP. One probe specific for each of the three targeted regions was designed to span the region containing the SNPs. Sequences of the primers and probes are given in Table 1. Each set of species-specific primers and probe was first evaluated alone before being incorporated into a multiplex format. There was no difference in the amplification curves when comparing the single-target real-time PCR with multi-target real-time PCR assays. Figure 2 illustrates the results of these two experimental steps and shows that 16SrRNA gene probe labeled with FAM and glpQ gene probe labeled with VIC fluorescent dyes could both be detected in one PCR reaction performed simultanoiusly. Similar results were obtained with recN and recC labeled with VIC and 16SrRNA probe labeled with FAM.


Figure 2. Fluorescence curves of four Borrelia crocidurae positive blood samples.

Multiplex real-time PCR amplification and detection of the Borrelia genus-specific 16S rRNA gene (probe labeled with FAM fluorescent dye) and the Borrelia crocidurae-specific glpQ gene (probe labeled with VIC fluorescent dye).


Table 1. Primer and probe sequences used for multiplex real-time PCR.


Real-time PCR specificity and sensitivity

In all experiments, negative controls remained negative. The cycle threshold (Ct) values for the constructed plasmid ranged from 18 (107 copies) to 36 (100 copies) per 5 µL of plasmid dilution for recN, recC and glpQ. Based on these results, we used a Ct cutoff value of 36 for interpretation a clinical blood specimens as positive. The 16S rRNA probe detected all the Borrelia-positive specimens regardless of the species with Ct values ranging from 18 to 35. The glpQ assay designed to be specific for B. crocidurae did not amplify B. duttonii or B. recurrentis reference strains, 18 B. duttonii-positive blood samples, 30 B. recurrentis-positive blood samples, two B. hispanica-positive ticks, and other strains mentioned above. The recN assay for specific detection of B. duttonii/B. recurrentis did not detect B. crocidurae, B. hispanica, B. burgdorferi and other strains mentioned above. Likewise, the recC system specific for B. hispanica did not detect B. crocidurae, B. duttonii/B. recurrentis, B. burgdorferi and other strains mentioned above.

Blood specimens

Human albumin used as a positive control was detected by real-time PCR in all tested human blood specimens, indicating lack of PCR inhibition. When applied to 101 specimens negative for borreliae and 123 specimens found positive for B. crocidurae using combined 16S rRNA/flaB-gene PCR gold standard the observed Ct value for the clinical samples varied between 18 to 35. The multiplex real-time PCR yielded 100% specificity and 99% sensitivity (one positive specimen remained negative). No DNA remained from this false-negative specimen to enable targeted study of glpQ for mutations in the probe region. When applied to 101 specimens negative for borreliae and 30 specimens found positive for B. recurrentis and 18 specimens found positive for B. duttonii using gold standard, the multiplex real-time PCR yielded 100% specificity and sensitivity. As for B. hispanica DNAs samples, the two tick extracts were detected by recC probe.


In this study, all the negative controls remained negative in every real-time PCR experiment. Also, no evidence of PCR inhibition was detected using human blood as confirmed by amplification of the human albumin internal control in every PCR run. Specificity of primers and probes was confirmed by in-silico analyses and reinforced by experimental demonstrations that these assays failed to amplifyother microorganisms responsible for septicemia, including R. felis [21] and T. whipplei [22], all demonstrated to be emerging, highly prevalent pathogens in Africa and in Senegal in particular. Therefore, results reported herein were interpreted as authentic.

In this study, species-specific primers and probes based on the glpQ, recC and recN gene sequences were selected from the alignment of the B. crocidurae, B. duttonii, B. recurrentis and B. burgdorferi reference chromosome genomes [16], [17]. Plasmid sequences were avoided, because of their instability among different strains of the same species, and during replication of the same isolate, with a risk of resulting in false-negative results. This approach proved successful for the differentiation between B. crocidurae, B. duttonii/B. recurrentis and B. hispanica. Despite evident interest in distinguishing B. duttonii and B. recurrentis for accurate epidemiological purposes, discrimination between B. duttonii and B. recurrentis was not possible here in agreement with previously reported very close genetic and genomic proximity of both species [16], [17]. Indeed, genetic and genomic data suggested that B. duttonii and B. recurrentis could be regarded as a single Borrelia species [17]. This limitation may not be problematic as for the routine diagnosis since these two species are respectively transmitted by tick and lice in very different epidemiological contexts [23]. Also, the multiplex real-time PCR proved highly sensitive, detecting 100 copies, that is more sensitive than the 103–105 borreliae/µL reported for microscopy [14], [24]. Previously, borreliae not detectable by microscopy, were detected by using real-time PCR targeting the fla and the glpQ genes [3], [15]. These assays however could not identify borreliae at the species level [3], [15]. Another real-time PCR assay was devoted to the specific detection of B. recurrentis and Rickettsia prowazekii, as these two pathogens are both transmitted by body lice. This targeted the flagellin gene of B. recurrentis with a sensitivity of 101 borreliae [25].

The developed real-time PCR was validated against large number of samples from areas endemic for diverse borreliae causing human infection in Africa, showing 100% sensitivity and specificity except for glpQ gene which had 99% sensitivity due to failure to identify B. crocidurae in one blood specimen. Unfortunately, we could not further analyze this specimen to assess whether this false negative result arose from glpQ mutations or was indicative of a different species or subspecies related to B. crocidurae. Indeed, several recent reports indicate that new relapsing fever Borrelia species are present in Tanzania and South Africa [26], [27]. Therefore careful optimization is required to ensure that the multiplex real-time PCR technique employed will not miss these new species or other Borrelia species. For this, we incorporated the 16S rRNA gene probe in the system to serve as an indicator of the detection of any relapsing fever Borrelia in the specimen. A specimen detected positive by the 16S rRNA gene probe and negative by the species-specific probes would indicate a new Borrelia species. Such samples could be further subjected to in situ typing such as the recently described multiple spacer sequence typing [16].

In conclusion, as detection and identification of these genetically closely related relapsing fever borreliae in Africa remains challenging, the multiplex real-time PCR assay reported herein offers significant improvement over existing procedures for the diagnosis of relapsing fevers in Africa. Importantly, it permits rapid differentiation of relapsing fevers from the clinically similar malaria, that requires drastically different therapeutic management. It is a sensitive and specific technique capable of detection of major Borrelia pathogens in humans, yet will not overlook detection of potentially new species. This multiplex real-time assay being amenable to point-of-care laboratories in Africa [28], it provides an effective solution for enhanced characterization of relapsing fever borreliae in Africa, improving medical management of patients and facilitating epidemiological studies.

Supporting Information

File S1.

STARD checklist.



File S2.

STARD flowchart.




The authors thank François Renaud, IRD Montpellier, France for providing them with argasid ticks infected with B. hispanica.

Author Contributions

Conceived and designed the experiments: D. Raoult, M. Drancourt. Performed the experiments: H. Elbir, M. Henry, G. Diatta, O. Mediannikov, C. Sokhna, A. Tall, C. Socolovschi, J. Ali, K. Bilcha, D. Campelo. Analyzed the data: S. Cutler, S. Barker, D. Raoult, M. Drancourt. Contributed reagents/materials/analysis tools: D. Raoult. Wrote the paper: H. Elbir, S. Cutler, S. Barker, D. Raoult, M. Drancourt.


  1. 1. Vial L, Diatta G, Tall A, Ba el H, Bouganali H, et al. (2006) Incidence of tick-borne relapsing fever in west Africa: longitudinal study. Lancet 368: 37–43. doi: 10.1016/s0140-6736(06)68968-x
  2. 2. Fukunaga M, Ushijima Y, Aoki LY, Talbert A (2001) Detection of Borrelia duttonii, a tick-borne relapsing fever agent in central Tanzania, within ticks by flagellin gene-based nested polymerase chain reaction. Vector Borne Zoonotic Dis 1: 331–338. doi: 10.1089/15303660160025949
  3. 3. Kisinza WN, McCall PJ, Mitani H, Talbert A, Fukunaga M (2003) A newly identified tick-borne Borrelia species and relapsing fever in Tanzania. Lancet 18: 1283–1284. doi: 10.1016/s0140-6736(03)14609-0
  4. 4. Nordstrand A, Bunikis I, Larsson C, Tsogbe K, Schwan TG, et al. (2007) Tickborne relapsing fever diagnosis obscured by malaria, Togo. Emerg Infect Dis 13: 117–123. doi: 10.3201/eid1301.060670
  5. 5. Sarih M, Garnier M, Boudebouch N, Bouattour A, Rihani A, et al. (2009) Borrelia hispanica relapsing fever, Morocco. Emerg Infect Dis 15: 1626–1629. doi: 10.3201/eid1510.090403
  6. 6. Bouattour A, Garnier M, M'Ghirbi Y, Sarih M, Gern L, et al. (2010) Borrelia crocidurae infection of Ornithodoros erraticus (Lucas, 1849) ticks in Tunisia. Vector Borne Zoonotic Dis 10: 825–830. doi: 10.1089/vbz.2009.0151
  7. 7. Ramos J, Malmierca E, Reyes F, Wolde W, Galata A, et al. (2004) Characteristics of 276 louse-borne relapsing fever in Ethiopian children and adults. Ann Trop Med Parasitol 277 98: 191–196. doi: 10.1179/000349804225003136
  8. 8. Jongen VH, van Roosmalen J, Tiems J, Van Holten J, Wetsteyn JC (1997) Tick-borne relapsing fever and pregnancy outcome in rural Tanzania. Acta Obstet Gynecol Scand 76: 834–839. doi: 10.3109/00016349709024361
  9. 9. Tordini G, Giaccherini R, Corbisiero R, Zanelli G (2006) Relapsing fever in a traveller from Senegal: determination of Borrelia species using molecular methods. Trans R Soc Trop Med Hyg 100: 992–994. doi: 10.1016/j.trstmh.2005.11.002
  10. 10. Million M, Cazorla C, Doudier B, La Scola B, Parola P, et al. (2009) Molecular identification of Borrelia crocidurae in a patient returning from Senegal. BMJ Case Rep pi bcr06.2008.0298 Epub 2009 Feb 20. doi: 10.1136/bcr.06.2008.0298
  11. 11. Poirier P, Lebuisson A, Menager C, Moulin F, Dupouy-Camet J (2008) Fever in a 7-year-old girl returning from Mali. Clin Infect Dis 47: 1442, 1490–1491. doi: 10.1086/593096
  12. 12. Seboxa T, Rahlenbeck SI (1995) Treatment of louse-borne relapsing fever with low dose penicillin or tetracycline: a clinical trial. Scand J Infect Dis 27: 29–31. doi: 10.3109/00365549509018969
  13. 13. Dupont HT, La Scola B, Williams R, Raoult D (1997) A focus of tick-borne relapsing 274 fever in southern Zaire. Clin Infect Dis 25: 139–144. doi: 10.1086/514496
  14. 14. Parola P, Diatta G, Socolovschi C, Mediannikov O, Tall A, et al. (2011) Tick-borne relapsing fever borreliosis, rural Senegal. Emerg Infect Dis 17: 883–885. doi: 10.3201/eid1705.100573
  15. 15. Reller ME, Clemens EG, Schachterle SE, Mtove GA, Sullivan DJ, et al. (2011) Multiplex 5′ nuclease-quantitative PCR for diagnosis of relapsing fever in a large Tanzanian cohort. J Clin Microbiol 49: 3245–3249. doi: 10.1128/jcm.00940-11
  16. 16. Elbir H, Gimenez G, Sokhna C, Bilcha KD, Ali J, et al. (2012) Multispacer sequence typing relapsing fever Borreliae in Africa. PLoS Negl Trop Dis 6: e1652. doi: 10.1371/journal.pntd.0001652
  17. 17. Lescot M, Audic S, Robert C, Nguyen TT, Blanc G, et al. (2008) The genome of Borrelia recurrentis, the agent of deadly louse-borne relapsing fever, is a degraded subset of tick-borne Borrelia duttonii. PLoS Genet 12: e1000185. doi: 10.1371/journal.pgen.1000185
  18. 18. Vial L, Durand P, Arnathau C, Halos L, Diatta G, et al. (2006) Molecular divergences of the Ornithodoros sonrai soft tick species, a vector of human relapsing fever in West Africa. Microbes Infect 8: 2605–2611. doi: 10.1016/j.micinf.2006.07.012
  19. 19. Cutler SJ, Akintunde COK, Moss J, Fukunaga M, Kurtenbach K, et al. (1999) Successful in-vitro cultivation of Borrelia duttonii and its comparison with B. recurrentis. Intl J Syst Bacteriol 49: 1793–1799. doi: 10.1099/00207713-49-4-1793
  20. 20. Corpet F (1988) Multiple sequence alignment with hierarchical clustering. Nucl Acids Res 16: 10881–10890. doi: 10.1093/nar/16.22.10881
  21. 21. Socolovschi C, Mediannikov O, Sokhna C, Tall A, Diatta G, et al. (2010) Rickettsia felis-associated uneruptive fever, Senegal. Emerg Infect Dis 16: 1140–1142. doi: 10.3201/eid1607.100070
  22. 22. Fenollar F, Mediannikov O, Socolovschi C, Bassene H, Diatta G, et al. (2010) Tropheryma whipplei bacteremia during fever in rural West Africa. Clin Infect Dis 51: 515–521. doi: 10.1086/655677
  23. 23. Scott JC, Wright DJM, Cutler SJ (2005) Typing African relapsing fever spirochetes. Emerg Infect Dis 11: 1722–1729. doi: 10.3201/eid1111.050483
  24. 24. van Dam AP, van Gool T, Wetsteyn JC, Dankert J (1999) Tick-borne relapsing fever imported from West Africa: diagnosis by quantitative buffy coat analysis and in vitro culture of Borrelia crocidurae. J Clin Microbiol 37: 2027–2730.
  25. 25. Jiang J, Temenak JJ, Richards AL (2003) Real-time PCR duplex assay for Rickettsia prowazekii and Borrelia recurrentis. Ann N Y Acad Sci 990: 302–310. doi: 10.1111/j.1749-6632.2003.tb07380.x
  26. 26. Mitani H, Talbert A, Fukunaga M (2004) New World relapsing fever Borrelia found in Ornithodoros porcinus ticks in central Tanzania. Microbiol Immunol 48: 501–505. doi: 10.1111/j.1348-0421.2004.tb03545.x
  27. 27. Reye AL, Arinola OG, Hübschen JM, Muller CP (2012) Pathogen prevalence in ticks collected from the vegetation and livestock in Nigeria. Appl Environ Microbiol 78: 2562–2568. doi: 10.1128/aem.06686-11
  28. 28. Sokhna C, Mediannikov O, Fenollar F, Bassene H, Diatta G, et al. (2012) Point-of-Care laboratory of pathogen diagnosis in rural Senegal. PLoS Negl Trop Dis In-press. doi: 10.1371/journal.pntd.0001999