Comparative population genomics of the Borrelia burgdorferi species complex reveals high degree of genetic isolation among species and underscores benefits and constraints to studying intra-specific epidemiological processes.
Lyme borreliosis, one of the most frequently contracted zoonotic diseases in the Northern Hemisphere, is caused by bacteria belonging to different genetic groups within the Borrelia burgdorferi species complex, which are transmitted by ticks among various wildlife reservoirs, such as small mammals and birds. These features make the Borrelia burgdorferi species complex an attractive biological model that can be used to study the diversification and the epidemiology of endemic bacterial pathogens. We investigated the potential of population genomic approaches to study these processes. Sixty-three strains belonging to three species within the Borrelia burgdorferi complex were isolated from questing ticks in Alsace (France), a region where Lyme disease is highly endemic. We first aimed to characterize the degree of genetic isolation among the species sampled. Phylogenetic and coalescent-based analyses revealed clear delineations: there was a ∼50 fold difference between intra-specific and inter-specific recombination rates. We then investigated whether the population genomic data contained information of epidemiological relevance. In phylogenies inferred using most of the genome, conspecific strains did not cluster in clades. These results raise questions about the relevance of different strategies when investigating pathogen epidemiology. For instance, here, both classical analytic approaches and phylodynamic simulations suggested that population sizes and migration rates were higher in B. garinii populations, which are normally associated with birds, than in B. burgdorferi s.s. populations. The phylogenetic analyses of the infection-related ospC gene and its flanking region provided additional support for this finding. Traces of recombination among the B. burgdorferi s.s. lineages and lineages associated with small mammals were found, suggesting that they shared the same hosts. Altogether, these results provide baseline evidence that can be used to formulate hypotheses regarding the host range of B. burgdorferi lineages based on population genomic data.
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Maude
M
Jacquot
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Mathieu
M
Gonnet
Institut Pasteur, CNR Borrelia, Paris, France.
Elisabeth
E
Ferquel
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
David
D
Abrial
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Alexandre
A
Claude
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Patrick
P
Gasqui
Institut Pasteur, CNR Borrelia, Paris, France.
Valérie
V
Choumet
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Myriam
M
Charras-Garrido
Institut Pasteur, CNR Borrelia, Paris, France.
Martine
M
Garnier
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Benjamin
B
Faure
Institut Pasteur, CNR Borrelia, Paris, France.
Natacha
N
Sertour
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Nelly
N
Dorr
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Jocelyn
J
De Goër
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Gwenaël
G
Vourc'h
INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France.
Xavier
X
Bailly
D000818:Animals; D000942:Antigens, Bacterial / Q000235:genetics; D001425:Bacterial Outer Membrane Proteins / Q000235:genetics; D001717:Birds / Q000382:microbiology; D015748:Borrelia burgdorferi Group / Q000145:classification / Q000235:genetics; D004199:Disease Vectors; D005602:France / Q000453:epidemiology; D014644:Genetic Variation; D016680:Genome, Bacterial; D058507:Host Specificity; D006801:Humans; D008193:Lyme Disease / Q000453:epidemiology / Q000382:microbiology / Q000662:veterinary*; D008322:Mammals / Q000382:microbiology; D056186:Metagenomics; D010802:Phylogeny; D060047:Reproductive Isolation; D013987:Ticks / Q000382:microbiology
D000942:Antigens, Bacterial; D001425:Bacterial Outer Membrane Proteins; C079616:OspC protein