Closely-related Borrelia burgdorferi (sensu stricto) strains exhibit similar fitness in single infections and asymmetric competition in multiple infections
- Evelyn C. Rynkiewicz†1,
- Julia Brown†2,
- Danielle M. Tufts1,
- Ching-I Huang1,
- Helge Kampen3,
- Stephen J. Bent4,
- Durland Fish2 and
- Maria A. Diuk-Wasser1Email author
© The Author(s). 2017
Received: 23 August 2016
Accepted: 30 December 2016
Published: 6 February 2017
Wild hosts are commonly co-infected with complex, genetically diverse, pathogen communities. Competition is expected between genetically or ecologically similar pathogen strains which may influence patterns of coexistence. However, there is little data on how specific strains of these diverse pathogen species interact within the host and how this impacts pathogen persistence in nature. Ticks are the most common disease vector in temperate regions with Borrelia burgdorferi, the causative agent of Lyme disease, being the most common vector-borne pathogen in North America. Borrelia burgdorferi is a pathogen of high public health concern and there is significant variation in infection phenotype between strains, which influences predictions of pathogen dynamics and spread.
In a laboratory experiment, we investigated whether two closely-related strains of B. burgdorferi (sensu stricto) showed similar transmission phenotypes, how the transmission of these strains changed when a host was infected with one strain, re-infected with the same strain, or co-infected with two strains. Ixodes scapularis, the black-legged tick, nymphs were used to sequentially infect laboratory-bred Peromyscus leucopus, white-footed mice, with one strain only, homologous infection with the same stain, or heterologous infection with both strains. We used the results of this laboratory experiment to simulate long-term persistence and maintenance of each strain in a simple simulation model.
Strain LG734 was more competitive than BL206, showing no difference in transmission between the heterologous infection groups and single-infection controls, while strain BL206 transmission was significantly reduced when strain LG734 infected first. The results of the model show that this asymmetry in competition could lead to extinction of strain BL206 unless there was a tick-to-host transmission advantage to this less competitive strain.
This asymmetric competitive interaction suggests that strain identity and the biotic context of co-infection is important to predict strain dynamics and persistence.
Wild hosts are often co-infected with multiple parasite species or strains. Within-host interactions between different parasites can have significant implications for disease prevalence and spread [1, 2]. Competitive interactions are expected when pathogens are closely related genetically, have similar infection behavior, share within-host niches, or elicit similar host immune responses [3–5]. However, interactions between co-infecting parasites are often studied in model species that are not their natural hosts [6–8]. Investigating positive and negative interactions between parasites in their natural host is needed to elucidate mechanisms structuring the composition and diversity of pathogen communities in the wild.
Ticks are the most common arthropod vector in temperate climates and Borrelia burgdorferi (sensu lato), the causative agent of Lyme disease, is the most prevalent vector-borne pathogen in these regions. Borrelia burgdorferi (sensu stricto) (hereafter, B. burgdorferi) is the sole causative agent of Lyme disease in North America . In the eastern United States, B. burgdorferi is vectored by the generalist tick Ixodes scapularis, which parasitizes a wide variety of vertebrate hosts at each life stage [10, 11]. Peromyscus leucopus, the white-footed mouse, is an integral part of the life-cycle of both I. scapularis and B. burgdorferi. These mice are the primary hosts of larval and nymphal tick stages, are highly competent hosts for the amplification of B. burgdorferi strains, and are abundant in the northeastern United States [11–13]. In addition, P. leucopus does not develop arthritic pathology, as seen in many laboratory mouse strains , suggesting significant differences in the physiological response to B. burgdorferi infection.
Borrelia burgdorferi shows high variability in genes specific to its ability to infect the tick vector, the vertebrate host, and evading the host immune response. The ospC locus of B. burgdorferi has been of special interest in studies of spirochetal diversity due to the important role it plays in mediating the interaction between distinct strains in mixed infections via the host immune response [15–17]. At least 22 major ospC groups have been described with 15 common in the northeastern United States [16, 18]. ospC is expressed during tick feeding and during the first 10 days of infection and is essential for transmission of the spirochete from tick-to-host . The protein is a major antigenic target for the vertebrate immune system and strains with particular ospC genotypes (e.g. A, B, I and K) have been associated with invasiveness and disseminating infections in humans [20, 21].
Possibly due to the generalist nature of its vector and the resulting wide range of zoonotic hosts, most strains of B. burgdorferi are also generalists, although the frequency of these strains does vary across different reservoir host species [12, 16]. Interactions among B. burgdorferi strains within the host, tick, or during transmission may partially account for the maintenance of this diversity. Derdakova et al.  demonstrated that B. burgdorferi strains belonging to two distantly related genotypes had very different transmission phenotypes and that co-infection reduced transmission of both strains. Comparatively, competition among closely related genotypes is expected to be stronger as they are more likely to share similar resources and more cross-reactivity in strain-specific antibodies .
Using a laboratory system including the natural vector and host species for B. burgdorferi, we examined the transmission dynamics of single infections as well as homologous and heterologous sequential infections of two closely related strains of B. burgdorferi. Our goals were to (i) analyze differences in transmission phenotype between two closely-related genotypes, (ii) characterize differences in host-to-tick transmission when hosts were infected once with one strain, re-infected with the same strain, or co-infected with two strains, and (iii) use a simple simulation model to expand on the results of the laboratory study to examine the expected patterns of long-term persistence of each strain based on the observed interactions in the laboratory.
Borrelia burgdorferi strains
Two isolates of B. burgdorferi were used in the study, BL206 and LG734. These strains are classified as RST Type I, in reference to restriction fragment-length polymorphism of the 16S-23S ribosomal DNA intergenic spacer, and form a monophyletic group with five additional strains . BL206 represents the 16S-23S rDNA intergenic spacer genotype 1 (IGS1) and ospC group A [17, 24, 25], while LG734 was genotyped as IGS3 and ospC group B. Strain BL206 is a clinical isolate obtained from the blood of a Lyme disease patient at Westchester Medical Center in Valhalla, NY, and cultured in BSK II media . Initially, nymphs infected with BL206 were obtained by allowing larvae to feed on C3H/HeNCr1 mice inoculated intraperitoneally with the BL206 isolate [22, 27]. At the time of this experiment, BL206 had been passaged six times using infected I. scapularis ticks in C3H/HeNCr1 mice. Strain LG734 was isolated from a wild I. scapularis nymph collected from Lake Gaillard in North Branford, CT, USA during the summer of 2007. A single wild-collected nymph was used to infect a CB-17/SCID mouse. Larvae fed on this mouse were used for this experiment after molting. Peromyscus leucopus mice were obtained from the Peromyscus Genetic Stock Center (Columbia, SC, USA). While changes in plasmid content or other virulence factors could have occurred in culture or Mus musculus mice [28, 29], both strains successfully transmit between P. leucopus and ticks, so we expect our observations represent natural interactions of two disseminating strains. PCR analysis of nymphs used to infect mice in this study showed infection prevalence was 95% or higher for both strains, giving us high certainty of tick-to-mouse infection.
To maintain ticks for laboratory infections, field-collected adult I. scapularis were collected from the field and fed on uninfected New Zealand white rabbits. Larvae hatched from these egg clutches were confirmed to be uninfected with any pathogens and are then fed on mice. Ticks are therefore outbred which maintains the genetic diversity found in natural I. scapularis populations.
Host study species
Adult male and female specific-pathogen-free P. leucopus (LL stock) mice were obtained from the Peromyscus Genetic Stock Center and bred at Yale University. All mice were handled humanely in accordance with the Yale University Institutional Animal Care and Use Committee guidelines.
DNA was extracted from individual ticks using the DNeasy Blood and Tissue Kit (Qiagen, Valencia, CA, USA) using a slightly modified manufacturer’s protocol [22, 30]. Each tick was initially frozen in liquid nitrogen and ground in a 1.5 ml centrifuge tube using a plastic pestle. Proteins were degraded overnight at 56 °C in 180 μl of ATL buffer (Qiagen) and 40 μl of proteinase K (Roche Applied Science, Indianapolis, IN, USA); the remainder of the extraction followed the manufacturer’s protocol. DNA from each tick was diluted in 50 μl elution buffer (Qiagen) and stored at 4 °C.
Borrelia burgdorferi strains BL206 and LG734 were detected in a nested-multiplex PCR protocol amplifying a region of the ospC locus. This sensitive method allowed for simultaneous individual detection of both strains, including mixed infections. The first round of PCR followed conditions described previously . This first round of PCR used primers ospC-F (5′-ATG AAA AAG AAT ACA TTA AGT GC-3′ corresponding to positions 306–328 of U01894) and ospC-R (5′-ATT AAT CTT ATA ATA TTG ATT TTA ATT AAG G-3′ corresponding to positions 963–933 of U01894). Samples were amplified using HotStarTaq (Qiagen) under the following conditions: an initial denaturation step of 95 °C for 15 min followed by 10 cycles of 94 °C for 30 s, 52 °C for 30 s, 72 °C for 1 min; 30 cycles of 94 °C for 30 s, 50 °C for 30 s, 72 °C for 1 min; and a final elongation step of 72 °C for 5 min.
The second step of the nested PCR protocol was a multiplex PCR using two forward primers (OspC-A237F: 5′-GAT ACC GAA AAT AAT CAC AAT GGA-3′ and OspC-B500F: 5′-AAA GTT GTC CGG ATC ATT AGA AAG-3′) and a single reverse primer (OspC-Rn: 5′- TTG ATT TTA ATT AAG GTT TTT TTG G-3′) corresponding to positions 948–924 of U01894 . These primers were specifically designed to distinguish between the two B. burgdorferi strains, BL206 and LG734, belonging to ospC types A and B, respectively. OspC-A237 amplified a product of 382 bp signifying infection with strain BL206, while OspC-B500 amplified a product of 122 bp signifying infection with strain LG734. Samples were amplified using ImmoMix™ Red (Bioline, London, UK) under the following conditions: an initial denaturation step of 95 °C for 15 min followed by 40 cycles of 94 °C for 30 s, 52 °C for 30 s, 72 °C for 1 min and a final elongation step of 72 °C for 5 min. All PCR products were subjected to gel electrophoresis and infection status was determined by single or multiple bands at the aforementioned lengths. Three positive controls, BL206 only, LG738 only, and mixed strains, and one negative control, sterile water, were included in each PCR reaction to confirm success of the PCR and to determine band size(s) in each sample.
To assess whether co-infection with the homologous or heterologous strain influenced the total transmission of each B. burgdorferi strain to feeding ticks, we compared the proportion of all ticks infected with each strain (the sum of singly-infected ticks from a strain and co-infected ticks, divided by the total number of ticks from the host; Additional file 1) with the respective single-infection controls. We used Generalized Estimating Equations (GEE; binomial variance distribution, Wald Chi-squared test to determine significance) using the geepack package  in R . This approach analyzes clusters of correlated data, such as longitudinal measures taken from the same individuals over time, without the need to define an error structure, only the means at each sampling time. An independent correlation matrix was specified in the model to remove constraints on the analysis of a specific correlation among repeated samples; this model had the lowest QIC (Quasi-Akaike Information Criterion) compared to models with other correlation structures, indicating the best GEE model fit to the data. We utilised the same statistical method to compare transmission phenotypes between the two single-infection controls.
To assess whether the interaction between strains was manifested during transmission to feeding ticks, we used a Fisher’s exact test to compare the observed prevalence of co-infected ticks to the expected prevalence if both strains were transmitted independently using the exact2×2 package in R  (minimum likelihood method to determine significance, odds ratio test statistic). Expected co-infection prevalence was calculated as the product of the proportion of ticks singly-infected with each strain from each individual mouse, multiplied by the total ticks from each group at each of the three time points post-secondary infection.
Simulation of strain maintenance
Because the experimental methods could not measure transmission via co-infected nymphs, we assume in the model that only one strain will be transmitted in each tick-to-host transmission event if a co-infected tick was randomly chosen from the pool, i.e. a co-infected tick does not pass on both pathogens to the host. We introduced a parameter p to denote the probability of a mouse becoming infected with strain LG734 from a co-infected nymph; 1-p denoted the probability of infection with strain BL206. We varied p between 0 and 1 to explore if certain values would enable coexistence of the two strains or extinction of one strain. We performed the simulation over 10,000 ensembles to extract the global trend out of the stochasticity. The mean prevalence of each tick and mouse infection type from the 10,000 repeated simulations is presented. For full model code please see Additional file 2.
Results of the Generalized Estimating Equation (GEE) analyses of transmission dynamics between the two single infection controls and between each genotype in mixed infections and the respective single-infection control (Overall). Post-hoc analyses compared transmission in each mixed infection an the respective single-infection control
Wald χ 2
Wald χ 2
Observed vs expected co-infection
Observed and expected numbers of co-infected ticks from each heterologous infection group at each time point post-secondary infection. Results of Fisher’s exact test comparing expected and observed co-infection prevalence given (odds ratio, P-value)
Obs. ticks co-infected
Expected ticks co-infected
Simulation of strain persistence over time
Using a natural host-vector-pathogen system we demonstrated that two closely related, disseminating strains of B. burgdorferi show similar transmission phenotypes when natural reservoir hosts are singly-infected or infected twice with the same strain. However, strain LG734 displayed a competitive advantage over strain BL206 when LG734 infected the host first. The results of a simple simulation model suggest that this interaction would lead to the extinction of strain BL206 unless there was a tick-to-host transmission advantage to strain BL206. These results have implications for predictions of disease dynamics and maintenance of diversity in mixed-strain pathogen populations.
Strains BL206 and LG734 showed independent infection dynamics when hosts were infected multiple times with the same strain or co-infected with both strains, except when LG734 infected first and BL206 second. In this case, the total number of ticks infected with strain BL206 was always lower than for strain LG734. However, we found no significant differences between observed and expected co-infection prevalence in nymphs, indicating independent transmission of each strain from host-to-tick. Previous analyses of multiple strain infections of B. afzelii in wild hosts showed more closely-related strains were less likely to be found together . The authors hypothesized that host antibody cross-reactivity between closely-related strains may be responsible for this pattern. Our results support the hypothesis that closely-related strains would be subject to within-host competition, as strain BL206 had much lower transmission when infecting after strain LG734. However, it is unclear the mechanism by which the same pattern of suppressed transmission was not observed in LG734 when BL206 was the first to infect. Future investigation into antibody similarity and cross-reactivity between these two strains or differences in innate immune response to each strain will be needed to address this asymmetric competition.
The simulation model showed that the transmission dynamics described in the laboratory experiment simulated for 100 generations would lead to extinction of strain BL206 and dominance of strain LG734. In our simulation, only a tick-to-host transmission advantage to strain BL206, the less-competitive strain in host-to-tick transmission, would lead to maintenance of strain BL206 in the population and allow for coexistence between the two strains. This could exemplify a pathogen life-history trade-off between tick-to-host and host-to-tick transmission, postulated by Tonetti et al.  as a mechanism for maintenance of strain diversity.
Other possible mechanisms not tested here would also allow for maintenance of multiple strains, including negative frequency dependent selection, multiple niche polymorphism, or variation in phenology of tick life-stages. The first mechanism describes multiple strains being maintained through time by rare advantage, where rare strains become more common when the host population is adapted or primed to respond to common strains [35, 36]. The second mechanism proposes that B. burgdorferi diversity can be maintained by variation in a host’s ability to clear certain pathogen strains along with variation in pathogen strain ability to infect multiple host species [16, 37]. Lastly, synchronous feeding activity of larvae and nymphs can facilitate the maintenance of less competitive or rapidly-cleared strains by allowing them to be transmitted to larvae feeding on the same host [38–40]. Opportunities for co-feeding, where ticks feeding closely together transfer pathogens through a localized infection, are also enhanced when larvae and nymphs feed synchronously [41, 42]. Disentangling the multiple mechanisms likely responsible for the maintenance of B. burgdorferi diversity will require more extensive laboratory experiments like the one presented here and more complex modeling frameworks. Additional host species should also be studied to assess the role of strain-specific variation in host susceptibility, persistence and transmission to ticks for the maintenance of B. burgdorferi diversity.
Simultaneous co-infections were not included in this study but would be an interesting condition to include in future studies. With the current data we cannot predict if strain LG734 would show a transmission advantage over BL206, as seen when LG734 infected first, or if their transmission dynamics would be independent, as was the case when BL206 infected first. A laboratory study of two unrelated tick-borne pathogens, B. burgdorferi and Babesia microti, showed transmission facilitation of B. microti when a host was simultaneously co-infected with both pathogens compared to single infections . Considering co-infection with two strains of the same pathogens, antibody profiles could differ between simultaneous and sequential infections, leading to different cross-reactivity and impacts on strain infection or transmission success . We also only analyzed pathogen transmission to ticks, but additional investigation into tissue tropism of each strain within the host, such as in blood, skin, and joints, could elucidate mechanism of niche differentiation or direct competition among host tissues. Future inclusion of simultaneous co-infection and analysis of pathogen load in various tissues would allow more detailed investigation of infection dynamics and behavior of these two strains.
An advantage of our study design was the use of the natural host and vector to investigate pathogen strain dynamics producing results that more closely mimic natural conditions than studies using laboratory strains of Mus musculus or syringe injections. Parallel infections of B. burgdorferi in P. leucopus and a common M. musculus strain found very different transmission dynamics in the natural vs laboratory host . Previous studies have also demonstrated that tick saliva has widespread effects on the host immune response [43–45] and unnatural transmission of B. burgdorferi (e.g. injections or skin grafts) can lead to substantial differences in infection outcomes . For example, Devevey et al.  found that when C3H/HeJ M. musculus were injected with different strains of B. burgdorferi, the strain that infected first was the strain that best and often singly-infected multiple tissues within the host. In contrast, here, strain LG734 suppressed transmission of BL206 when it infected first, however, LG734 was not suppressed when BL206 infected first. These results illustrate strain-specific differences in competitive ability rather than complete advantage to the primary infecting strain, and is consistent with the high levels of co-infection observed in nature .
In conclusion, two closely related strains of B. burgdorferi produced nearly identical infection phenotypes when infecting a host alone, however strain LG734 suppressed strain BL206 when LG734 infected first. This suggests that strain identity and the biotic context of co-infection is important to predicting strain dynamics. Additional transmission experiments with other strains of this and other pathogens in P. leucopus and other natural hosts should be performed using vector infection to fully understand how multiple pathogen strains interact and the mechanisms involved in the maintenance of a diverse strain community.
The authors would like to thank Lindsay Rollend, Natasha Lloyd, and Jacob Kendrick for expert technical assistance. We would also like to thank two anonymous reviewers for their constructive comments on an earlier version of this manuscript.
This research was supported by the National Institutes of Health, NIAID R01 AR041511-15 and R21 AI065848-02, the U.S. Department of Agriculture, Agriculture Research Service Cooperative Agreements 58-0790-7-073 and 58-079-5-06, the G. Harold and Leila Y. Mathers Charitable Foundation, and by the National Institutes of Health, Ecology and Evolution of Infectious Disease Program (R01 GM105246).
Availability of data and materials
JB, SB, HK and DF designed the experimental study. JB, HK and SB performed the laboratory experiments and molecular analyses. MDW, ER and DT designed the simulation model, CH built and ran the simulation model. ER performed the statistical analyses and created the figures and tables. Advising and funding support was provided by DF and MDW. All authors contributed to the writing, read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
The use of animals was approved by the Yale University Institutional Animal Care and Use Committee (protocol #2007-07689).
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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