Abstract
Many non-human primate species in sub-Saharan Africa are infected with Treponema pallidum subsp. pertenue , the bacterium causing yaws in humans. In humans, yaws is often characterized by lesions of the extremities and face, while T. pallidum subsp. pallidum causes venereal syphilis and is typically characterized by primary lesions on the genital, anal or oral mucosae. It remains unclear whether other T. pallidum subspecies found in humans also occur in non-human primates and how the genomic diversity of non-human primate T. pallidum subsp. pertenue lineages is distributed across hosts and space. We observed orofacial and genital lesions in sooty mangabeys (Cercocebus atys) in Taï National Park, Côte d’Ivoire and collected swabs and biopsies from symptomatic animals. We also collected non-human primate bones from 8 species in Taï National Park and 16 species from 11 other sites across sub-Saharan Africa. Samples were screened for T. pallidum DNA using polymerase chain reactions (PCRs) and we used in-solution hybridization capture to sequence T. pallidum genomes. We generated three nearly complete T. pallidum genomes from biopsies and swabs and detected treponemal DNA in bones of six non-human primate species in five countries, allowing us to reconstruct three partial genomes. Phylogenomic analyses revealed that both orofacial and genital lesions in sooty mangabeys from Taï National Park were caused by T. pallidum subsp. pertenue . We showed that T. pallidum subsp. pertenue has infected non-human primates in Taï National Park for at least 28 years and has been present in two non-human primate species that had not been described as T. pallidum subsp. pertenue hosts in this ecosystem, western chimpanzees (Pan troglodytes verus) and western red colobus (Piliocolobus badius), complementing clinical evidence that started accumulating in Taï National Park in 2014. More broadly, simian T. pallidum subsp. pertenue strains did not form monophyletic clades based on host species or the symptoms caused, but rather clustered based on geography. Geographical clustering of T. pallidum subsp. pertenue genomes might be compatible with cross-species transmission of T. pallidum subsp. pertenue within ecosystems or environmental exposure, leading to the acquisition of closely related strains. Finally, we found no evidence for mutations that confer antimicrobial resistance.
Keywords: yaws, hybridization capture, spirochetes, West Africa
Data Summary
The authors confirm that all supporting analyses and external sequence data have been provided within the article or through supplementary data files. All new sequences generated in this study have been deposited with the National Center for Biotechnology Information (NCBI) under BioProject PRJNA588802.
Impact Statement.
We were able to reconstruct three new Treponema pallidum subsp. pertenue genomes from swabs/biopsies and three partial genomes from bone samples, adding to the limited number of T. pallidum subsp. pertenue genomes existing today. Phylogenomic analyses revealed that simian T. pallidum subsp. pertenue strains did not form monophyletic clades based on the host species or the types of clinical symptoms manifested, but rather clustered by geographical origin. This is compatible with cross-species transmission of T. pallidum subsp. pertenue within ecosystems where this disease occurs. Additionally, this study joins a growing body of evidence that human and wildlife bones are useful for tracing the history of treponemal diseases. Using bones, we confirmed that T. pallidum subsp. pertenue infected previously undescribed non-human primate hosts and has been present in Taï National Park for at least 28 years.
Introduction
Spirochete bacteria belonging to the species Treponema pallidum (TP) have affected humankind since at least the late 15th century [1] and cause a large global disease burden in humans [2, 3]. Three pathogenic subspecies are currently recognized that are morphologically similar, but genetically and epidemiologically distinguishable [4]. Clinically, pathogenic TP subspecies cause three distinct disease syndromes; yaws (subsp. pertenue; TPE), venereal syphilis (subsp. pallidum; TPA) and bejel (subsp. endemicum; TEN) [5, 6]. Though usually treatable with antibiotics, these treponematoses remain major public health threats across the globe [2–4]. For example, in 2012, nearly 8 million new cases of venereal syphilis were reported globally [7], and in 2018, an estimated 80 000 new yaws cases occurred in the 15 countries where the disease remains endemic [8]. Exact estimates of the number of bejel cases from the Sahel region and Arabian Peninsula where the disease is endemic are not available [9]. Efforts to reduce the prevalence of these treponematoses are underway, particularly for yaws, which an ongoing campaign aims to eradicate globally by 2030 [10]. Eradication efforts face a number of challenges, such as issues concerning the availability of diagnostics, the distribution of treatment options and resistance to available antibiotics.
One of the key questions for the potential success of eradication efforts and for understanding TPE evolution is the degree to which other animals are infected with these pathogens and whether cross-species transmission occurs. To date, only TPE has been shown to infect non-human primates (NHPs), as suggested by the finding of TPE DNA in lesion samples from a number of different NHP species [11–13]. The TPE strains infecting humans and NHPs are extremely similar. For example, the first genome sequenced from a TPE infecting a wild NHP – the strain Fribourg-Blanc obtained from a Guinea baboon (Papio papio: RefSeq ID: NC_021179.1) – exhibits a 99.97 % sequence identity with human-infecting strains [13]. There is no clear evidence for phylogenetic separation of NHP-infecting and human-infecting TPE strains, as strains do not form well-supported reciprocally monophyletic groups [12, 13]. Although this pattern might be suggestive of past transmission events between NHPs and humans, whether such events really happened remains uncertain due to a paucity of genomic data from both humans and wildlife. However, in an experimental setting, the Fribourg-Blanc strain induced classical yaws symptoms in humans [14] and human-infecting TPE strains were reported to elicit yaws-like symptoms in NHPs [15]. This suggests that molecular compatibility barriers to cross-species transmission of TPE are low, though other barriers to spillover might exist [16]. In fact, recent multilocus sequence typing (MLST) of genes unique to TPE showed that TPE strains infecting wild NHPs cluster according to geography and not by host species in Tanzania, which is compatible with local cross-species transmission of TPE in natural systems [17].
Here, we aimed to further explore TPE genomic diversity across space, hosts and clinical manifestations. For this, we first focused our analyses on a single group of sooty mangabeys (Cercocebus atys) in Taï National Park (TNP), Côte d’Ivoire, whose affected individuals showed orofacial or genital lesions. We then drew on recent findings that TP can be detected in NHP bones [18] to screen NHP bones from TNP and examine whether closely related strains of TPE circulate in this ecosystem, as seen in Tanzania [17]. In addition, we also analysed non-symptomatic bones from 11 species sampled across 8 sub-Saharan countries to further explore the range of hosts that this pathogen infects and be in a position to detect potential broad-scale spatial patterns. Finally, we examined the TPE genomes we generated for evidence of mutations associated with antibiotic resistance, as ongoing eradication efforts are based on antibiotic therapy.
Methods
Study sites and samples
In January 2014, sooty mangabeys from a habituated social group in TNP were observed with orofacial lesions and lesions of their distal extremities; samples were collected from two symptomatic animals and through whole-genome sequencing, TPE was determined to be the cause of the infection [12]. Over the next 2 years, other individuals started showing genital ulcerations and necrotizing dermatitis on the inner parts of the thighs and abdomen, often with visible yellow crusts. Orofacial and genital lesions were still observed on other animals in the group during the study period (Fig. 1). Three more individuals with visible lesions were chemically immobilized using a combination of xylazine (1 mg kg−1) and ketamine (10 mg kg−1) administered by blowpipe. Biopsy and swab samples were collected from orofacial and genital lesions (Table 1). Samples were preserved in RNAlater Thermo Fisher Scientific, Waltham, MA, USA) and shipped to the Robert Koch Institute, Berlin, Germany for molecular analysis.
Table 1.
Animal ID |
Species |
Lesions observed |
Sample type |
PolA PCR |
cfpA PCR |
---|---|---|---|---|---|
5847 |
C. atys |
Anogenital lesions |
Lesion biopsy |
Negative |
Negative |
Anogenital lesions |
Lesion swab |
Positive |
Positive |
||
Facial lesions |
Lesion biopsy |
Negative |
Negative |
||
Body ventral lesions |
Lesion biopsy |
Negative |
Negative |
||
2116 |
C. atys |
Genital lesions |
Lesion swab |
Positive |
Positive |
2117 |
C. atys |
Genital lesions |
Lesion swab |
Positive |
Positive |
1864 |
C. atys |
Orofacial lesions |
Lesion biopsy |
Positive |
Positive |
Animal ID 1864 was previously reported in Knauf et al. [12] and in this study we prepared a new library and resequenced it to improve genome coverage.
To obtain insights into NHP treponematoses in TNP over the last three decades and to obtain an understanding of the host range of this pathogen, we screened non-symptomatic bones collected opportunistically at TNP (n=67; Table S1, available in the online version of this article). Previous studies have shown that informative TP sequences can be obtained from such skeletal remains [18]. We also screened NHP bones collected from 11 additional field sites in sub-Saharan Africa (n=83; Table S1) through the support of the Pan African Programme: The Cultured Chimpanzee (PanAf; http://panafrican.eva.mpg.de/). NHP bones were assigned to particular species using molecular methods targeting the 16S ribosomal RNA gene as described previously [19], coupled with morphological assignment by experts in the field.
DNA extraction
DNA was extracted from skin biopsies (n=4) and swabs (n=3) using the DNeasy Blood and Tissue kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions (Table 1). DNA was extracted from bones using a silica-based method. Briefly, non-lesioned bones were drilled using a fine drill bit at slow speed to produce ~150 mg of bone powder. The drilling was performed in a designated sealed glove box, both to prevent any contamination of the bones and to prevent exposure of researchers to pathogens that might be present in the bones [e.g. in TNP, cases of sylvatic anthrax ( Bacillus cereus biovar anthracis) are frequent, and this pathogen can be cultured from bones] [20]. The box was UV-sterilized and surfaces were bleached following the drilling of each bone and extraction. Drill bits, the metal pieces that actually come into contact with the bones, were changed for each bone to prevent cross-contamination. DNA extraction from bone powder was performed following a protocol that was modified from one that was used previously [21, 22] and is described in detail elsewhere [23]. Extracted DNA from all samples was quantified with a Qubit fluorometer using a double-stranded DNA high-sensitivity assay kit (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturer’s instructions. DNA was subsequently stored at −20 °C.
Screening for T. pallidum
To screen for TP DNA in swabs and biopsy samples, we performed an end-point polymerase chain reaction (PCR) assay targeting the 67 bp of the polA gene fragment, using primers previously developed for screening human clinical specimens (Table S2) [24]. PCR reactions were performed in 25 µl reactions; up to 200 ng of DNA was amplified using 1.25 U of high-fidelity Platinum Taq polymerase (Thermo Fisher Scientific, Waltham, MA, USA), 10× PCR buffer (Thermo Fisher Scientific, Waltham, MA, USA), 200 µM dNUTPs, 4 mM MgCl2 and 200 nM of both forward and reverse primers. The thermal cycling profile was as follows; denaturation at 95 °C for 5 min, followed by 40 cycles of 95 °C for 15 s, 60 °C for 30 s and 72 °C for 1 min, with a final elongation step at 72 °C for 10 min. Known TPE-positive DNA extracts and negative controls were included.
The 67 bp amplified product is too short for direct Sanger sequencing, so to confirm the results of this initial screening positive samples were further tested with a semi-nested assay targeting the cytoplasmic filament protein gene (cfpA) [25]. These primer pairs yield a 352 bp outer product in the primary PCR and a 189 bp inner fragment in the second round PCR (Table S2). In both primary and second round PCR assays, the reactions were performed as follows: ~200 ng of DNA was amplified in a 25 µl reaction using 1.25 U of high-fidelity Platinum Taq polymerase, 10× PCR buffer, 200 µM dNUTPs, 4 mM MgCl2 and 200 nM of both forward and reverse primers. For the second round PCR, 2 µl of a 1 : 20 dilution of the first round PCR product was used as input template. The thermal cycling profiles for both rounds of the nested PCRs were the same as in the initial screening assay described above.
PCR products were visualized on a 1.5 % agarose gel stained with GelRed (Thermo Fisher Scientific, Waltham, MA, USA). Positive bands were purified using the PureLink Quick Gel Extraction kit (Thermo Fisher Scientific, Waltham, MA, USA) following the manufacturer’s protocol. Purified products were stored at −20 °C until they were sequenced using the BigDye Terminator v3.1 Cycle Sequencing kit (Thermo Fisher Scientific, Waltham, MA, USA) and sequences were compared to publicly available sequences in EMBL through blast [26]. All samples that tested positive in the confirmatory cfpA PCR assay were selected for whole-genome in-solution hybridization capture and high-throughput sequencing.
Potential DNA degradation in bone samples precluded the use of the cfpA PCR assay (demonstrated in [18]). To select the most promising samples, we estimated copy numbers in the bones using a real-time qPCR also targeting the 67 bp fragment of the polA gene [24]. Samples were tested in duplicate. Briefly, 5 µl of total DNA was amplified in a 25 µl qPCR reaction containing 10× PCR buffer, 200 µM dNUTPs, 4 mM MgCl2, 300 nM of both forward and reverse primers, 100 nM of a specific probe and 0.5U of high-fidelity Platinum Taq polymerase. The thermal cycling profile was set as follows DNA denaturation at 95 °C for 10 min followed by 45 cycles at 95 °C for 15 s and 60 °C for 34 s. All bone samples that had detectable TP DNA in duplicate reactions were selected for in-solution hybridization capture and high-throughput sequencing.
Library preparation, genome-wide capture and high-throughput sequencing
For biopsy and swab sample extracts, we sheared 1000 ng of DNA per sample to 400 bp fragments using the Covaris S2 ultrasonicator (intensity: 4; duty cycle: 10%; cycles per burst: 200; treatment time: 55 s; and temperature: 4–5 °C). Bone samples were not sheared due to the potentially fragmented nature of DNA in these older specimens. Two library preparation methods were applied (Table 2). Single-indexed Illumina libraries had previously been built and sequenced from samples 1864 and 22_52 using the Accel NGS ds DNA Library Preparation kit (Swift Biosciences, Ann Arbor, MI, USA) [12, 18]. In an effort to improve genome coverage for these samples, we generated new dual-indexed libraries using the NEBNext Ultra II DNA Library Prep kit (New England Biolabs, Ipswich, MA, USA). The different library preparation methods used reflect the adoption of a new method in the laboratory because of higher library conversion rates with the NEBNext Ultra II DNA Library Prep kit; we have no reason to think that these different methods will systematically affect the genomes generated. For all other samples, DNA was converted into dual-indexed Illumina libraries using the NEBNext Ultra II DNA Library Prep kit (New England Biolabs, Ipswich, MA, USA; samples: Tai_105, Boe_092, 2116, 2117, 5847). All generated libraries were quantified using the KAPA library quantification kit (KAPA Biosystems, Wilmington, MA, USA) following the manufacturer’s instructions. In all library preparations, chicken DNA was included as a control, as no subspecies of TP is known to infect birds.
Table 2.
Sample ID |
NHPs species |
Sample type |
Library preparation method |
Site/country |
|
---|---|---|---|---|---|
NEBNext |
Accel NGS |
||||
Boe_092 |
C. atys |
Bone |
Yes |
No |
Boe/GB |
2117 |
C. atys |
Swab – genital lesion |
Yes |
No |
TNP/CI |
5847 |
C. atys |
Swab – genital lesion |
Yes |
No |
TNP/CI |
2116 |
C. atys |
Swab – genital lesion |
No |
Yes |
TNP/CI |
1864 |
C. atys |
Biopsy – face lesion |
Yes |
Yes |
TNP/CI |
Tai_105 |
P. badius |
Bone |
Yes |
No |
TNP/CI |
22_52 |
P. badius |
Bone |
Yes |
Yes |
TNP/CI |
Control |
Chicken DNA |
Tissue |
Yes |
No |
na |
Samples 1864 and 22_52 had been sequenced previously, but in this study we prepared new libraries and resequenced them to improve genome coverage [12, 18].
na, not applicable.
Libraries were enriched for T. pallidum sequences using in-solution hybridization capture with biotinylated RNA baits following the manufacturer’s protocol (myBaits, Arbor Biosciences, Ann Arbor, MI, USA). The baits spanned the simian-derived Fribourg-Blanc reference genome (RefSeq ID: NC_021179.1) with a two-fold tiling. In-solution hybridization capture was performed for two rounds of 48 h each. After each round of capture, a post-capture amplification step was performed using the KAPA HiFi HotStart library amplification kit (KAPA Biosystems) with P5 and P7 Illumina primers to generate ~200 ng of enriched DNA per sample. The post-capture amplification thermal profile was as follows: initial hot start at 98 °C for 2 min followed by 12 to 16 cycles at 98 °C for 20 s, 65 °C for 30 s and 72 °C for 45 s, with a final elongation step at 72 °C for 5 min. Enriched libraries were quantified using the KAPA library quantification kit (KAPA Biosystems, Wilmington, MA, USA). Prior to sequencing, libraries were diluted to 4 nM and pooled for sequencing on an Illumina MiSeq (Illumina, San Diego, CA, USA) with 300 bp paired end reads (V3 chemistry; Table 2) at the Robert Koch Institute (Berlin, Germany).
Bioinformatics analysis
The paired-end reads generated here, along with published SRAs from prior TP sequencing efforts (Table S3), were trimmed using Trimmomatic v0.38, removing the leading and trailing reads below a quality score of 30, clipping any part of the read where the average base quality across 4 bp was less than 30, and removing reads less than 30 bp in length [27]. The surviving read pairs were merged using Clip and Merge version 1.7.8 with default settings [28]. Merged reads and surviving single-end reads were combined and mapped to TPE Fribourg-Blanc (RefSeq ID: NC_021179.1) using BWA-MEM [29] with a minimum seed length of 29. Mapped reads were sorted using Picard’s SortSam and subsequently deduplicated with Picard’s MarkDuplicates (https://broadinstitute.github.io/picard/index.html). Alignments with a mapping quality score smaller than 30 and a mapping length lower than 30 were also removed using SAMtools [30]. We called two consensus sequences for each genome using Geneious v11.1.5 [31]: (i) the first consensus required a minimum of 10 unique reads per position (i.e. 10× coverage) with at least 95 % identity for a base to be unambiguously called; (ii) the second consensus required 5× coverage and at least 95 % identity. Positions that did not meet the coverage requirement were subsequently treated as missing data. In the following, we mostly report on the results obtained with the 5×, 95 % dataset, which includes all the (partial) genomes generated in this study. To confirm these findings, we repeated the analyses using the 10×, 95 % dataset that included only the higher-quality genomes available, thereby excluding two partial genomes of lower quality that we assembled from bone material (Tai 105 and Boe 092).
Each set of whole-genome consensus sequences was aligned using the multiple sequence alignment programme MAFFT [32]. We then removed all previously described paralogous and putative recombinant genes (Table S4) and selected conserved blocks using the Gblocks tool [33] in SeaView v4 [34]. Phylogenetic inference was performed on the resulting alignments of informative positions after stripping all identical sites and ambiguities in the final datasets: 5×, 95 % (1737 positions: 37 sequences including the two TPE genomes from bones) and 10×, 95 % (1739 positions: 35 sequences). To account for the effects of potential long branch attraction, we ran analyses on versions of these alignments that either included or excluded non-TPE sequences.
Final alignments were uploaded to the online ATGC PhyML-SMS tool (http://www.atgc-montpellier.fr/phyml-sms/) for construction of a maximum-likelihood (ML) phylogeny using smart model selection [35] with the Bayesian information criterion and subtree pruning and regrafting (SPR) for tree improvement, but otherwise using default settings. Branch robustness was estimated using the Shimodaira–Hasegawa approximate likelihood ratio test (SH-like aLRT) [36]. We also used RAxML Next Generation [37], which allowed for an accounting of the number of invariant sites that had been stripped from the alignment to correct for acquisition bias, using 200 bootstrap replicates and the model selected by PhyML-SMS [38, 39]. Both ML analyses retrieved very similar trees; here we report the ML trees from this analysis that accounted for the number of invariant sites. The ML trees were then rooted using TempEst (version 1.5.1), which estimated the best-fitting root of these phylogenies using the heuristic residual mean squared function, which minimizes the variance of root-to-tip distances [40]. Evolutionary pairwise distance between TP strains were extracted from the X5, 95 % ml phylogeny using the Patristic program [41].
To explore the robustness of our phylogenetic analysis, we also ran Bayesian phylogenetic analyses with beast (version 1.10.4) using four different models. These models all used the general time-reversible (GTR) nucleotide substitution model identified in the PhyML-SMS analysis, but combined either a strict clock model or an uncorrelated lognormal relaxed clock model with demographic models assuming a coalescent process and a constant population size or a birth–death process. These models covered a plausible range of clock and tree priors, similar to those explored in another recent publication on syphilis genomics [42]. We incorporated the number of invariant sites into these models to account for sampling and ascertainment bias. For all models, we examined the output of multiple runs for convergence and appropriate sampling of the posterior using Tracer (version 1.7.1) [43] before merging runs using Log Combiner (version 1.10.4) [44]. The maximum clade credibility (MCC) tree was then identified from the posterior set of trees and annotated with Tree Annotator (version 1.10.4: distributed with beast). The resulting ML and MCC tree files were edited using iTOL (https://itol.embl.de/) [45].
For those bone samples for which the aforementioned phylogenetic pipeline was unable to resolve the position of their partial genomes in the phylogeny, we performed phylogenetic read placement using the evolutionary placement algorithm tool EPA-ng to determine the position of individual reads on the TP phylogeny [46]. We performed read placement on a red colobus bone sample (22-52; this particular sample exhibited a suspiciously long branch in initial ML and Bayesian analyses, which we considered to be potentially indicative of an assembly problem, e.g. the inclusion of reads from TPE and an environmental spirochete) and two previously sequenced chimpanzee bone samples (11786 and 15028) that were collected in TNP, for which the presence of TP was confirmed but no subspecies assignment had been performed [18]. Briefly, we selected filtered merged and single-end reads that mapped to TPE and were 50 bp or longer. The surviving reads were then aligned to the whole-genome alignment using the parsimony-based phylogeny-aware read alignment program (PaPaRa) [47]. The resulting PaPaRa alignment was then split into the query reads and the original alignment using the split function available in the EPA-ng toolkit [47]. To estimate the best fitting evolutionary model for the phylogenetic placement of the query reads, both the reference tree and reference alignment were evaluated using the RaxML-ng toolkit [48]. The best fitting model was then used to place query reads on the reference tree with the EPA-ng tool. The resulting EPA-ng jplace tree files were visualized as heat trees depicting the percentage of reads placed on each branch using the gappa toolkit [49]. For tree visualization, every query read was treated as a point mass concentrated on the highest-weight placement and the multiplicity of each query read was set to 1.
Results
Screening PCR and whole-genome capture
All symptomatic animals sampled by biopsy or swab tested positive for T. pallidum in at least one of the sample types collected (Table 1). Sequences generated from the respective assays were all identical (a representative sequence was uploaded to Zenodo: doi.org/10.5281/zenodo.3540499). In addition, based on the polA gene qPCR assay, we detected TP DNA in NHP bones from the following species/subspecies and field sites: 14 western chimpanzees (Pan troglodytes verus), 5 western red colobus (Piliocolobus badius), 2 Diana monkeys (Cercopithecus diana), and 1 sooty mangabey from TNP in Côte d’Ivoire; 5 eastern chimpanzees (Pan troglodytes schweinfurthii) from Bili-Uere in the Democratic Republic of the Congo; 2 western chimpanzees from Loango National Park, Gabon; 1 sooty mangabey from Boe in Guinea-Bissau; 1 western chimpanzee from East Nimba, Liberia; 1 western chimpanzee and one lesser spot-nosed monkey (Cercopithecus petaurista) from the nationwide survey in Liberia; 2 western chimpanzees from Sapo National Park, Liberia; 1 eastern black-and-white colobus (Colobus guereza) from Gashaka Gumti National Park, Nigeria; 1 blue monkey (Cercopithecus mitis) and 1 eastern black-and-white colobus from Budongo in Uganda (Table S1).
From the C. atys study group in TNP, we were able to sequence three new TPE genomes from biopsy and swab samples with 5× coverage of 47.5–97.5 % of the genome (Table 3). We reanalysed a previously sequenced sample from a C. atys with facial lesions (1864) [12], and improved the 5× genome coverage from 82.4 to 95.5 %. Further, we recovered partial TPE genomes from two P. badius bones (Tai 105 and 22_52) from TNP, Côte d’Ivoire, as well as one C. atys (Boe 092) bone from Boe, Guinea Bissau, with 76.1, 62.4 and 69.6%, respectively at 1× genome coverage and 39.3, 26.9 and 21.7 % at 5× genome coverage, respectively. In the control library (chicken DNA), only a single TP read survived quality control. All genomes were distinct, including those obtained from individuals belonging to a single social group of C. atys. None of the genomes generated in this study had the A2058G and A2059G mutations in the 23S ribosomal RNA gene, which have been demonstrated to confer antimicrobial resistance to macrolide antibiotics [50].
Table 3.
Sample ID |
NHPs species |
Sample type |
Deduplicated reads mapped |
Positions covered [1×] |
Positions covered [5×] |
% genome coverage [1×] |
% genome coverage [5×] |
---|---|---|---|---|---|---|---|
Boe 092 |
C. atys |
Bone |
36 407 |
793 392 |
247 484 |
69.6 |
21.7 |
2117 |
C. atys |
Swab – genital lesion |
44 143 |
1 009 366 |
541 728 |
88.5 |
47.5 |
5847 |
C. atys |
Swab – genital lesion |
457 063 |
1 117 566 |
1 111 969 |
98.0 |
97.5 |
2116 |
C. atys |
Swab – genital lesion |
131 550 |
1 119 023 |
1 066 350 |
98.1 |
93.5 |
1864 |
C. atys |
Biopsy – face lesion |
202 416 |
1 116 210 |
1 089 159 |
97.9 |
95.5 |
Tai 105 |
P. badius |
Bone |
42 719 |
867 318 |
448 209 |
76.1 |
39.3 |
22_52 |
P. badius |
Bone |
43 373 |
711 608 |
306 789 |
62.4 |
26.9 |
Control |
Chicken |
Tissue |
1 |
52 |
0 |
0.005 |
0.0 |
Phylogenetic analyses
Phylogenetic analysis of genomes generated as part of this study, all other TPE and TEN genomes, and a representative selection of TPA genomes from GenBank (Table S3) yielded tree topologies largely consistent in both the RAxML next-generation and beast-based approaches and the two minimum coverage thresholds used. The ML and MCC tree topologies resolved into distinct reciprocally monophyletic groups representing the TP subspecies (TPA, TPE and TEN). The TPE clade included both human- and all NHP-infecting strains, while TPA and TEN clades consisted only of human strains (Fig. 2). These analyses clearly showed that all NHP-derived strains were TPE, but the relationships within the TPE clade were poorly resolved, potentially due to the long branches separating these clades. Long branches have the potential to complicate phylogenetic analyses [51]; thus we focused our examination of relationships of strains with the TPE clade on the ingroup phylogenetic analyses presented below.
Our ingroup phylogenetic analysis revealed that neither the ML nor the MCC tree topologies showed monophyly of TPE strains infecting NHPs based on their clinical manifestations, regardless of the minimum coverage thresholds used. In other words, TNP strains causing different clinical manifestations did not form statistically supported, reciprocally monophyletic groups based on clinical manifestations sampled (Figs 2 and 3, Table 4).
Table 4.
Dataset |
Probabilistic method |
Clock |
Tree prior |
Based on clinical manifestations |
Senegal–The Gambia– Guinea-Bissau |
Tai National Park |
Human-infecting strains |
---|---|---|---|---|---|---|---|
5×, 95 % |
ML |
na |
na |
No |
Yes |
Yes (weak) |
No |
BMCMC |
Strict |
Coalescent |
No |
Yes |
No |
No |
|
BMCMC |
Strict |
Speciation |
No |
Yes |
No |
No |
|
BMCMC |
Relaxed |
Coalescent |
No |
Yes |
No |
Yes (weak) |
|
BMCMC |
Relaxed |
Speciation |
No |
Yes |
No |
Yes (weak) |
|
10×, 95 % |
ML |
na |
na |
No |
Yes |
Yes (weak) |
Yes (weak) |
BMCMC |
Strict |
Coalescent |
No |
Yes |
Yes |
Yes |
|
BMCMC |
Strict |
Speciation |
No |
Yes |
Yes |
Yes |
|
BMCMC |
Relaxed |
Coalescent |
No |
Yes |
Yes |
Yes |
|
BMCMC |
Relaxed |
Speciation |
No |
Yes |
Yes |
Yes |
na, not applicable.
Rather, it appeared that simian strains formed reciprocally monophyletic groups based on geography, as strains from the same location generally seemed to cluster together. We observed the most consistent support for a clade of NHP-infecting TPE strains from Senegal, The Gambia and Guinea-Bissau, with all analyses and models showing this geographical clustering, in most cases with strong statistical support (Figs 3 and S1, Table 4). This clade consistently included a sooty mangabey bone-derived TPE (Boe_092) collected in Guinea-Bissau and included the Fribourg-Blanc strain isolated from a baboon in Guinea and green monkeys (Chlorocebus sabaeus) from neighbouring Senegal and The Gambia (Fig. 3, Table 4). We found less consistent support for a clade including NHP-infecting TPE strains from TNP, specifically TPE-infecting western red colobus and sooty mangabeys (Figs 3 and S1, Table 4). For the 5×, 95 % dataset, statistical support for this TNP clade was relatively weak, predominantly due to inconsistent placement of the low-coverage 1864 genome; support for a monophyletic TNP clade was much stronger in the 10×, 95 % dataset (Fig. S1, Table 4). In addition, we observed that human-derived TPE strains formed a monophyletic group with relatively strong statistical support in the 10×, 95 % dataset (Fig. S1, Table 4).
The analysis of bone-derived TPE strains further supported a geographical structuring of NHP TPE genomic diversity. Read placement of bone-derived TPE reads from one western red colobus specimen (22_52) and two western chimpanzees specimens (11 786 and 15 028) from TNP showed that the majority of reads fell within the TNP clade (Fig. 4).
Within these geographical clusters, for TPE-infecting particular species at each field site, there appeared to be differences in average genetic distances between strains. The sooty mangabey-infecting strains at TNP had an average patristic distance of 4.23333E-05 %, compared to 0.000152, 0.000002 and 0.000002 % for strains infecting Papio anubis in Tanzania and Chlorocebus sabaeus monkeys in Senegal and The Gambia, respectively (Table S5), although sample sizes were small, precluding a formal statistical analysis.
Discussion
In agreement with previous studies [11, 13, 17], our phylogenetic analyses demonstrated that the NHP-infecting TP strains all belonged to the TPE clade. We confirmed the presence of TPE in both orofacial and genital lesions, adding to a growing body of evidence that TPE causes a diversity of symptoms in NHPs [11, 25, 52–55]. We found no evidence that TPE strains causing these different symptoms formed separate monophyletic groups, suggesting that TPE pathology may not be determined by bacterial properties alone, but also by host factors (e.g. individual immune status) or the route of exposure.
While TPE genomes did not cluster by symptoms, we found that simian TPE strains from different ecosystems in sub-Saharan Africa formed monophyletic groups largely based on their geographical origin. These results support and extend the findings of Chuma et al. [17], who used multilocus sequence typing (MLST) data to reveal that TPE sequences from NHPs in Tanzania did not form monophyletic clades based on host species, but rather clustered based on geography [17]. Here, considering a larger geographical scale, we find that TPE strains from TNP cluster separately from strains infecting NHPs in Guinea, Guinea-Bissau, Senegal and The Gambia (all countries in close proximity to one another). This geographical signal was supported by phylogenetic read placement of TPE reads derived from the bones of two NHP species collected in TNP, which fell predominantly in the TNP clade. This observed incongruence between the host phylogeny and the phylogeny of their TPE infections could be indicative of cross-species transmission or infection from some common unknown source within a habitat [56, 57].
We observed high TPE diversity in some ecosystems, which could lend support to the hypothesis of exposure of NHPs to a diversity of strains, potentially from other species sharing an ecosystem. We observed the highest level of diversity within one region in the TPE strains sampled from a single sooty mangabey group in the TNP ecosystem. Indeed, the average number of single-nucleotide polymorphisms (SNPs) separating any two TNP sooty mangabey-infecting TPE genomes was 97 (5×, 95 % identity threshold). While one pair differed at only 3 positions, potentially suggesting an epidemiological link, the most divergent pair had 264 SNPs. Considering that the TPE mutation rate in humans has been estimated to be ~1.21×10−7 per nucleotide site per year (or lower [58]), equalling fewer than 0.138 mutations per year across the 1.14 MB TPE genome, the 264 SNPs between the 2 most divergent TNP strains would likely have required hundreds to thousands of years to accumulate (Table S6). High levels of divergence precluding a direct epidemiological link were also observed for two TPE strains sampled from the Lake Manyara National Park ecosystem in Tanzania [17]. In other ecosystems, TPE genomes from the same species were very similar, compatible with an epidemiological link (green monkeys in Bijilo Forest Park, The Gambia and Niokolo National Park, Senegal [12]). The factors driving the high diversity of TPE in some ecosystems and not others are unknown, but between-species transmission in diverse primate ecosystems, such as TNP, could play a role.
Interspecies interactions that could facilitate transmission via direct contact between NHP species inhabiting TNP are well documented; these include a strong predator–prey relationship between chimpanzees and red colobus, as well as direct contact between monkeys that spend large amounts of time in mixed-species associations (e.g. grooming, fighting, play, mating [59, 60]). Another transmission mode that has long been suggested for TPE is vectorial transmission; under experimental conditions viable TP spirochetes were transmitted by flies between different host species causing clinical disease [61, 62]. Knauf et al. amplified TP DNA from flies in ecosystems where TP infections in NHPs are common [63] and Gogarten et al. showed that flies carrying TP DNA formed high-density persistent associations with NHP social groups in TNP [64]. Primate-associated flies were observed to move between groups of different species, suggesting that they could be involved in transmitting the yaws pathogen between species, even when NHP are not found in mixed-species associations [64]. Further work is needed to confirm whether flies or other arthropods actually transmit TPE in the wild [65] and to understand the routes and rates of transmission of TPE between NHP species.
Wide spatio-temporal differences in sampling of human- and simian-derived TPE strains precludes a robust assessment of whether zoonotic transmission occurs. The sampling of NHP TPE genetic diversity has improved over the last several years, with 14 of the 29 TPE genomes included in the current analyses originating from NHPs in sub-Saharan Africa. Unfortunately, in countries where NHP-infecting TPE strains have been sequenced, no genomic data from human infections are available. Given the geographical signal observed for simian isolates [17], future studies may benefit from investigating human yaws infections in these regions. Such data will help determine whether zoonotic inter-species transmission of TPE between humans and NHPs actually occurs. Our analysis found some support for the monophyly of human-infecting strains; if larger datasets support this finding, it will suggest that zoonotic spillover does not occur frequently (or at all). If zoonotic spillover of TPE from NHPs to humans does occur, it is noteworthy that all NHP-derived TPE strains characterized to date [17], including those generated in this study, have no mutations in the 23S ribosomal RNA gene, which is known to confer antimicrobial resistance to macrolide antibiotics [50]. Therefore, the available antibiotic treatments are expected to be effective against NHP-derived strains. However, we caution against overinterpreting this finding, as sample sizes are small, meaning that low-frequency mutations would likely remain undetected.
This study joins a growing body of evidence that human and wildlife bones are a useful resource for generating sufficient TPE reads to inform phylogenetic analyses that can both extend the known host range of TPE and push back the date of emergence for TPE in particular populations [18, 66]. Despite a lack of clinical evidence from western chimpanzees and western red colobus in TNP, the phylogenetic placement of bone-derived TPE reads into the TNP clade confirms that sooty mangabeys are not the only species affected by TPE in this ecosystem. The oldest bone from which we were able to phylogenetically assign reads to the TPE clade was collected in 1992, complementing clinical evidence from TNP that only started accumulating from 2014 onward [12]. Our results suggest that, together with archaeological collections [67–69], natural history specimens can provide important genomic information regarding TPE and thereby further our understanding of its ecology and evolution.
Conclusions
We found that genomically diverse TPE circulate in NHP, even in a single social group [17]. On a larger spatial scale, whole-genome sequences and bone-derived TPE sequences allowed phylogenetic analyses that revealed that the genomic diversity of TPE strains derived from NHPs is geographically structured. This pattern is compatible with cross-species transmission of TPE within ecosystems, although how often and by what means this transmission occurs remains an important area of future research.
Supplementary Data
Funding information
This research project was co-funded by the Deutsche Forschungsgemeinschaft (DFG) (project: LE 1813/14-1) and the Robert Koch Institute, Berlin, Germany.
Acknowledgements
This article represents a chapter in the PhD dissertation of B.M. who was supported through the Robert Koch Institute’s PhD programme, Berlin, Germany. We thank Paul Lewis, Peter Gogarten, an anonymous reviewer, as well as the editor, Lucy Weinert, for helpful discussions and suggestions regarding the inclusion of invariant sites in the phylogenetic analysis presented here. We thank the Ivorian directorship of the Taï National Park, the Office Ivoirien des Parcs et Réserves, the Centre Suisse de Recherche Scientifique, the Taï Chimpanzee Project and the Taï Monkey project and their teams of field assistants for their support. We thank the following people for their support with field and organizationalorganizational activities: Christophe Boesch, Katherine Corogenes, Karsten Dierks, Dervla Dowd, Henk Eshuis, Annemarie Goedmakers, John Hart, Thurston Cleveland Hicks, Theo Freeman, Sorrel Jones, Vincent Lapeyre, Juan Lapuente, Vera Leinert, Sergio Marrocoli, Amelia Meier, Yasmin Moebius, Geoffrey Muhanguzi, Mizuki Murai, Emmanuelle Normand, Martha M. Robbins, Joost van Schijndel, Volker Sommer, Virginie Vergnes and Klaus Zuberbuehler. For their funding support, we thank the Max Planck Society, Max Planck Society Innovation Fund and Heinz L. Krekeler Foundation. We are also grateful to the following institutions and ministries in the following countries for facilitating activities pertaining to this study: Ministere des Eaux et Forets, Côte d’Ivoire; Institut Congolais pour la Conservation de la Nature, DR Congo; Ministere de la Recherche Scientifique, DR Congo; Agence Nationale des Parcs Nationaux, Gabon; Centre National de la Recherche Scientifique (CENAREST), Gabon: Société Equatoriale d’Exploitation Forestière (SEEF), Gabon; Ministere de l'Agriculture de l'Elevage et des Eaux et Forets, Guinea; Instituto da Biodiversidade e das Áreas Protegidas (IBAP); Ministro da Agricultura e Desenvolvimento Rural, Guinea-Bissau; Forestry Development Authority, Liberia; Conservation Society of Mbe Mountains (CAMM), Nigeria; National Park Service, Nigeria; Direction des Eaux, Forêts et Chasses, Senegal; Makerere University Biological Field Station (MUBFS), Uganda; Uganda National Council for Science and Technology (UNCST), Uganda. We also thank the following non-governmental organizations for the their assistance and support of field activities: Wild Chimpanzee Foundation, Côte d’Ivoire; Lukuru Wildlife Research Foundation, DR Congo; WCS Albertine Rift Programme, DR Congo; WWF Congo Basin, DR Congo; Loango Ape Project, Gabon; The Aspinall Foundation, Gabon; Station d’Etudes des Gorilles et Chimpanzees, Gabon: Kwame Nkrumah University of Science and Technology (KNUST), Ghana; Wild Chimpanzee Foundation, Guinea; Foundation Chimbo (Boe); Wild Chimpanzee Foundation, Liberia; Gashaka Primate Project, Nigeria; Wildlife Conservation Society (WCS) Nigeria, Nigeria; Fongoli Savanna Chimpanzee Project, Senegal; Jane Goodall Insitute Spain (Dindefelo), Senegal; Budongo Conservation Field Station, Uganda; Ngogo Chimpanzee Project, Uganda.
Author contributions
Conceptualization: F. L., S. C. S. Data curation: B. M. Formal analysis: B. M., J. F. G., S. C. S. Funding acquisition: F. L, S. C. S. Investigation: B. M., J. F. G., A. D., K. P., M. U., A. L., K. N., V. S., A. A., G. B., T. D., P. D., A. C. G., S. J., J. J., E. W., M. A., H. K., R. M. W. Methodology: B. M., J. F. G., F. L., S. C. S. Project administration: B. M., F. L., S. C. S. Supervision; F. L., S. C. S. Writing – original draft: B. M., J. F. G. Writing – review and editing: B. M., J. F. G., A. D., S. C. S., F. L.
Conflicts of interest
The authors declare that there are no conflicts of interest.
Ethical statement
All procedures performed on the Cercocebus atys in TNP were approved by the Ministry of Environment and Forests as well as the Ministry of Research, the Office Ivoirien des Parcs et Réserves, and the director of TNP. All sampling was carried out by trained veterinarians following good veterinarian practice. Animal welfare was considered in all procedures carried out and anaesthetized animals were monitored for vital functions and remained under close supervision from the time of induction until full recovery and until the animals were able to reunite with their social group.
Footnotes
Abbreviations: cfpA, cytoplasmic filament protein gene; GTR, general time-reversible; MCC, maximum clade credibility; ML, maximum-likelihood; MLST, multilocus sequence typing; NCBI, National Center for Biotechnology Information; PanAf, Pan African Programme: The Cultured Chimpanzee; PCR, polymerase chain reaction; SH-like aLRT, Shimodaira-Hasegawa approximate likelihood ratio test; SNP, single-nucleotide polymorphism; SPR, subtree pruning and regrafting; TEN, Treponema pallidum subsp. endemicum; TNP, Taï National Park; TP, Treponema pallidum; TPA, Treponema pallidum subsp. pallidum; TPE, Treponema pallidum subsp. pertenue.
All supporting data, code and protocols have been provided within the article or through supplementary data files. Six supplementary tables and four supplementary figures are available with the online version of this article.
All raw sequence reads have been archived with the NCBI under BioProject PRJNA588802.
References
- 1.Armelagos GJ, Zuckerman MK, Harper KN. The science behind pre-Columbian evidence of syphilis in Europe: research by documentary. Evol Anthropol. 2012;21:50–57. doi: 10.1002/evan.20340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lithgow KV, Hof R, Wetherell C, Phillips D, Houston S, et al. A defined syphilis vaccine candidate inhibits pallidum. Nat Commun. 2017;8:1–10. doi: 10.1038/ncomms14273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Giacani L, Lukehart SA. The endemic treponematoses. Clin Microbiol Rev. 2014;27:89–115. doi: 10.1128/CMR.00070-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Marks M, Solomon AW, Mabey DC. Endemic treponemal diseases. Trans R Soc Trop Med Hyg. 2014;108:601–607. doi: 10.1093/trstmh/tru128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Čejková D, Zobaníková M, Chen L, Pospíšilová P, Strouhal M, et al. Whole genome sequences of three Treponema pallidum ssp. pertenue strains: yaws and syphilis treponemes differ in less than 0.2% of the genome sequence. PLoS Negl Trop Dis. 2012;6:e1471. doi: 10.1371/journal.pntd.0001471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Centurion-Lara A, Molini BJ, Godornes C, Sun E, Hevner K, et al. Molecular differentiation of Treponema pallidum subspecies. J Clin Microbiol. 2006;44:3377–3380. doi: 10.1128/JCM.00784-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Newman L, Rowley J, Vander Hoorn S, Wijesooriya NS, Unemo M, et al. Global estimates of the prevalence and incidence of four curable sexually transmitted infections in 2012 based on systematic review and global reporting. PLoS One. 2015;10:e0143304. doi: 10.1371/journal.pone.0143304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.WHO Yaws. Available: https://www.who.int/news-room/factsheets/detail/yaws . 2019.
- 9.WHO First WHO report on neglected tropical diseases: working to overcome the global impact of neglected tropical diseases. 2010. [PubMed]
- 10.Dyson L, Mooring EQ, Holmes A, Tildesley MJ, Marks M. Insights from quantitative and mathematical modelling on the proposed 2030 goals for yaws. Gates Open Res. 2019;3:1576. doi: 10.12688/gatesopenres.13078.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chuma IS, Batamuzi EK, Collins DA, Fyumagwa RD, Hallmaier-Wacker LK, et al. Widespread Treponema pallidum Infection in Nonhuman Primates, Tanzania. Emerg Infect Dis. 2018;24:1002–1009. doi: 10.3201/eid2406.180037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Knauf S, Gogarten JF, Schuenemann VJ, De Nys HM, Düx A, et al. Nonhuman primates across sub-Saharan Africa are infected with the yaws bacterium Treponema pallidum subsp. pertenue . Emerg Microbes Infect. 2018;7:1–4. doi: 10.1038/s41426-018-0156-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zobaníková M, Strouhal M, Mikalová L, Cejková D, Ambrožová L, et al. Whole genome sequence of the Treponema Fribourg-Blanc: unspecified simian isolate is highly similar to the yaws subspecies. PLoS Negl Trop Dis. 2013;7:e2172. doi: 10.1371/journal.pntd.0002172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Smith JL, David NJ, Indgin S, Israel CW, Levine BM, et al. Neuro-ophthalmological study of late yaws and pinta. II. The Caracas project. Sex Transm Infect. 1971;47:226–251. doi: 10.1136/sti.47.4.226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lawton Smith J, Israel CW. Recovery of spirochagetes in the monkey by passive transfer from human late sero-negative syphilis. Br J Vener Dis. 1968;44:109–115. doi: 10.1136/sti.44.2.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Plowright RK, Parrish CR, McCallum H, Hudson PJ, Ko AI, et al. Pathways to zoonotic spillover. Nat Rev Microbiol. 2017;15:502–510. doi: 10.1038/nrmicro.2017.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chuma IS, Roos C, Atickem A, Bohm T, Anthony Collins D, et al. Strain diversity of Treponema pallidum subsp. pertenue suggests rare interspecies transmission in African nonhuman primates. Sci Rep. 2019;9:14243. doi: 10.1038/s41598-019-50779-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gogarten JF, Düx A, Schuenemann VJ, Nowak K, Boesch C, et al. Tools for opening new chapters in the book of Treponema pallidum evolutionary history. Clin Microbiol Infect. 2016;22:916–921. doi: 10.1016/j.cmi.2016.07.027. [DOI] [PubMed] [Google Scholar]
- 19.Calvignac-Spencer S, Merkel K, Kutzner N, Kühl H, Boesch C, et al. Carrion fly-derived DNA as a tool for comprehensive and cost-effective assessment of mammalian biodiversity. Mol Ecol. 2013;22:915–924. doi: 10.1111/mec.12183. [DOI] [PubMed] [Google Scholar]
- 20.Hoffmann C, Zimmermann F, Biek R, Kuehl H, Nowak K, et al. Persistent anthrax as a major driver of wildlife mortality in a tropical rainforest. Nature. 2017;548:82–86. doi: 10.1038/nature23309. [DOI] [PubMed] [Google Scholar]
- 21.Rohland N, Hofreiter M. Ancient DNA extraction from bones and teeth. Nat Protoc. 2007;2:1756–1762. doi: 10.1038/nprot.2007.247. [DOI] [PubMed] [Google Scholar]
- 22.Gamba C, Hanghøj K, Gaunitz C, Alfarhan AH, Alquraishi SA, et al. Comparing the performance of three ancient DNA extraction methods for high-throughput sequencing. Mol Ecol Resour. 2016;16:459-69. doi: 10.1111/1755-0998.12470. [DOI] [PubMed] [Google Scholar]
- 23.Orlando L, Ginolhac A, Raghavan M, Vilstrup J, Rasmussen M, et al. True single-molecule DNA sequencing of a pleistocene horse bone. Genome Res. 2011;21:1705–1719. doi: 10.1101/gr.122747.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Leslie DE, Azzato F, Karapanagiotidis T, Leydon J, Fyfe J. Development of a real-time PCR assay to detect Treponema pallidum in clinical specimens and assessment of the assay's performance by comparison with serological testing. J Clin Microbiol. 2007;45:93–96. doi: 10.1128/JCM.01578-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Harper KN, Fyumagwa RD, Hoare R, Wambura PN, Coppenhaver DH, et al. Treponema pallidum infection in the wild baboons of East Africa: distribution and genetic characterization of the strains responsible. PLoS One. 2012;7:e50882. doi: 10.1371/journal.pone.0050882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
- 27.Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for illumina sequence data. Bioinformatics. 2014;30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Peltzer A, Jäger G, Herbig A, Seitz A, Kniep C, et al. EAGER: efficient ancient genome reconstruction. Genome Biol. 2016;17:60. doi: 10.1186/s13059-016-0918-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. ArXiv. 2013:arXiv:1303.3997 [Google Scholar]
- 30.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, et al. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, et al. Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28:1647–1649. doi: 10.1093/bioinformatics/bts199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Talavera G, Castresana J. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst Biol. 2007;56:564–577. doi: 10.1080/10635150701472164. [DOI] [PubMed] [Google Scholar]
- 34.Gouy M, Guindon S, Gascuel O. SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol. 2010;27:221–224. doi: 10.1093/molbev/msp259. [DOI] [PubMed] [Google Scholar]
- 35.Lefort V, Longueville J-E, Gascuel O. SMS: smart model selection in PhyML. Mol Biol Evol. 2017;34:2422–2424. doi: 10.1093/molbev/msx149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol. 2010;59:307–321. doi: 10.1093/sysbio/syq010. [DOI] [PubMed] [Google Scholar]
- 37.Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics. 2019;35:4453–4455. doi: 10.1093/bioinformatics/btz305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Leaché AD, Banbury BL, Felsenstein J, de Oca AN-M, Stamatakis A. Short tree, long tree, right tree, wrong tree: new acquisition bias corrections for inferring SNP phylogenies. Syst Biol. 2015;64:1032–1047. doi: 10.1093/sysbio/syv053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lewis PO. A likelihood approach to estimating phylogeny from discrete morphological character data. Syst Biol. 2001;50:913–925. doi: 10.1080/106351501753462876. [DOI] [PubMed] [Google Scholar]
- 40.Rambaut A, Lam TT, Max Carvalho L, Pybus OG. Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen) Virus Evol. 2016;2:vew007. doi: 10.1093/ve/vew007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Fourment M, Gibbs MJ. PATRISTIC: a program for calculating patristic distances and graphically comparing the components of genetic change. BMC Evol Biol. 2006;6:1. doi: 10.1186/1471-2148-6-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Arora N, Schuenemann VJ, Jäger G, Peltzer A, Seitz A, et al. Origin of modern syphilis and emergence of a pandemic Treponema pallidum cluster. Nat Microbiol. 2016;2:16245. doi: 10.1038/nmicrobiol.2016.245. [DOI] [PubMed] [Google Scholar]
- 43.Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. Posterior summarization in Bayesian phylogenetics using tracer 1.7. Syst Biol. 2018;67:901–904. doi: 10.1093/sysbio/syy032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Drummond AJ, Rambaut A. Beast: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007;7:214. doi: 10.1186/1471-2148-7-214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Letunic I, Bork P. Interactive tree of life (iTOL) V4: recent updates and new developments. Nucleic Acids Res. 2019;47:W256–W259. doi: 10.1093/nar/gkz239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Barbera P, Kozlov AM, Czech L, Morel B, Darriba D, et al. EPA-ng: massively parallel evolutionary placement of genetic sequences. Syst Biol. 2019;68:365–369. doi: 10.1093/sysbio/syy054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Berger SA, Stamatakis A. Aligning short reads to reference alignments and trees. Bioinformatics. 2011;27:2068–2075. doi: 10.1093/bioinformatics/btr320. [DOI] [PubMed] [Google Scholar]
- 48.Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A. RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics. 2019;35:4453–4455. doi: 10.1093/bioinformatics/btz305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Czech L, Barbera P, Stamatakis A. Genesis and Gappa: library and toolkit for working with phylogenetic (placement) data. bioRxiv. 2019;647958 [Google Scholar]
- 50.Stamm LV, Bergen HL. A point mutation associated with bacterial macrolide resistance is present in both 23S rRNA genes of an erythromycin-resistant Treponema pallidum clinical isolate. Antimicrob Agents Chemother. 2000;44:806–807. doi: 10.1128/AAC.44.3.806-807.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bergsten J. A review of long-branch attraction. Cladistics. 2005;21:163–193. doi: 10.1111/j.1096-0031.2005.00059.x. [DOI] [PubMed] [Google Scholar]
- 52.Knauf S, Batamuzi EK, Mlengeya T, Kilewo M, Lejora IAV, et al. Treponema infection associated with genital ulceration in wild baboons. Vet Pathol. 2012;49:292–303. doi: 10.1177/0300985811402839. [DOI] [PubMed] [Google Scholar]
- 53.Baylet R, Thivolet J, Sepetjian M, Nouhouay Y, Baylet M. [Natural open treponematosis in the Papio papio baboon in Casamance] Bull Soc Pathol Exot Filiales. 1971;64:842–846. [PubMed] [Google Scholar]
- 54.Fribourg-Blanc A, Mollaret HH. Natural treponematosis of the African primate. Primates Med. 1969;3:113–121. [PubMed] [Google Scholar]
- 55.Mubemba B, Chanove E, Mätz-Rensing K, Gogarten JF, Düx A, et al. Yaws disease caused by Treponema pallidum subspecies pertenue in wild chimpanzee, guinea, 2019. Emerg Infect Dis. 2020;26:1283–1286. doi: 10.3201/eid2606.191713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Davies TJ, Pedersen AB. Phylogeny and geography predict pathogen community similarity in wild primates and humans. Proc Biol Sci. 2008;275:1695–1701. doi: 10.1098/rspb.2008.0284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Pedersen AB, Davies TJ. Cross-species pathogen transmission and disease emergence in primates. Ecohealth. 2009;6:496–508. doi: 10.1007/s10393-010-0284-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Strouhal M, Mikalová L, Havlíčková P, Tenti P, Čejková D, et al. Complete genome sequences of two strains of Treponema pallidum subsp. pertenue from Ghana, Africa: Identical genome sequences in samples isolated more than 7 years apart. PLoS Negl Trop Dis. 2017;11:e0005894. doi: 10.1371/journal.pntd.0005894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Boesch C, Boesch H. Hunting behavior of wild chimpanzees in the Taï National Park. Am J Phys Anthropol. 1989;78:547–573. doi: 10.1002/ajpa.1330780410. [DOI] [PubMed] [Google Scholar]
- 60.Gogarten JF, Akoua-Koffi C, Calvignac-Spencer S, Leendertz SAJ, Weiss S, et al. The ecology of primate retroviruses – an assessment of 12 years of retroviral studies in the Taï National Park area, Côte d׳Ivoire. Virology. 2014:460–461. doi: 10.1016/j.virol.2014.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kumm HW, Turner TB. The transmission of yaws from man to rabbits by an insect vector, Hippelates pallipes Loew 1. Am J Trop Med Hyg. 1936;s1-16:245–271. doi: 10.4269/ajtmh.1936.s1-16.245. [DOI] [Google Scholar]
- 62.Satchell GH, Harrison RA. Experimental observations on the possibility of transmission of yaws by wound-feeding Diptera, in Western Samoa. Trans R Soc Trop Med Hyg. 1953;47:148–153. doi: 10.1016/0035-9203(53)90068-6. [DOI] [PubMed] [Google Scholar]
- 63.Knauf S, Raphael J, Mitjà O, Lejora IAV, Chuma IS, et al. Isolation of Treponema DNA from Necrophagous flies in a natural ecosystem. EBioMedicine. 2016;11:85–90. doi: 10.1016/j.ebiom.2016.07.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Gogarten JF, Düx A, Mubemba B, Pléh K, Hoffmann C, et al. Tropical rainforest flies carrying pathogens form stable associations with social nonhuman primates. Mol Ecol. 2019;28:4242–4258. doi: 10.1111/mec.15145. [DOI] [PubMed] [Google Scholar]
- 65.Stamm LV. Flies and yaws: molecular studies provide new insight. EBioMedicine. 2016;11:9–10. doi: 10.1016/j.ebiom.2016.08.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Fabricius T, Winther C, Ewertsen C, Kemp M, Nielsen SD. Osteitis in the dens of axis caused by Treponema pallidum . BMC Infect Dis. 2013;13:347. doi: 10.1186/1471-2334-13-347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Majander K, Pfrengle S, Neukamm J, Kocher A, du PL, et al. Ancient bacterial genomes reveal a formerly unknown diversity of Treponema pallidum strains in early modern Europe. bioRxiv. 2020 doi: 10.1016/j.cub.2020.07.058. [DOI] [PubMed] [Google Scholar]
- 68.Schuenemann VJ, Kumar Lankapalli A, Barquera R, Nelson EA, Iraíz Hernández D, et al. Historic Treponema pallidum genomes from Colonial Mexico retrieved from archaeological remains. PLoS Negl Trop Dis. 2018;12:e0006447. doi: 10.1371/journal.pntd.0006447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Barquera R, Lamnidis TC, Lankapalli AK, Kocher A, Hernández-Zaragoza DI, et al. Origin and health status of first-generation Africans from early colonial Mexico. Current Biology. 2020;30:2078–2091.:2078-2091.e11. doi: 10.1016/j.cub.2020.04.002. [DOI] [PubMed] [Google Scholar]
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