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      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

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          Abstract

          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.

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          Neighbor-net: an agglomerative method for the construction of phylogenetic networks.

          We present Neighbor-Net, a distance based method for constructing phylogenetic networks that is based on the Neighbor-Joining (NJ) algorithm of Saitou and Nei. Neighbor-Net provides a snapshot of the data that can guide more detailed analysis. Unlike split decomposition, Neighbor-Net scales well and can quickly produce detailed and informative networks for several hundred taxa. We illustrate the method by reanalyzing three published data sets: a collection of 110 highly recombinant Salmonella multi-locus sequence typing sequences, the 135 "African Eve" human mitochondrial sequences published by Vigilant et al., and a collection of 12 Archeal chaperonin sequences demonstrating strong evidence for gene conversion. Neighbor-Net is available as part of the SplitsTree4 software package.
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            The effect of deleterious mutations on neutral molecular variation.

            Selection against deleterious alleles maintained by mutation may cause a reduction in the amount of genetic variability at linked neutral sites. This is because a new neutral variant can only remain in a large population for a long period of time if it is maintained in gametes that are free of deleterious alleles, and hence are not destined for rapid elimination from the population by selection. Approximate formulas are derived for the reduction below classical neutral values resulting from such background selection against deleterious mutations, for the mean times to fixation and loss of new mutations, nucleotide site diversity, and number of segregating sites. These formulas apply to random-mating populations with no genetic recombination, and to populations reproducing exclusively asexually or by self-fertilization. For a given selection regime and mating system, the reduction is an exponential function of the total mutation rate to deleterious mutations for the section of the genome involved. Simulations show that the effect decreases rapidly with increasing recombination frequency or rate of outcrossing. The mean time to loss of new neutral mutations and the total number of segregating neutral sites are less sensitive to background selection than the other statistics, unless the population size is of the order of a hundred thousand or more. The stationary distribution of allele frequencies at the neutral sites is correspondingly skewed in favor of rare alleles, compared with the classical neutral result. Observed reductions in molecular variation in low recombination genomic regions of sufficiently large size, for instance in the centromere-proximal regions of Drosophila autosomes or in highly selfing plant populations, may be partly due to background selection against deleterious mutations.
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              Identifying Reservoirs of Infection: A Conceptual and Practical Challenge

              (2002)
              Many infectious agents, especially those that cause emerging diseases, infect more than one host species. Managing reservoirs of multihost pathogens often plays a crucial role in effective disease control. However, reservoirs remain variously and loosely defined. We propose that reservoirs can only be understood with reference to defined target populations. Therefore, we define a reservoir as one or more epidemiologically connected populations or environments in which the pathogen can be permanently maintained and from which infection is transmitted to the defined target population. Existence of a reservoir is confirmed when infection within the target population cannot be sustained after all transmission between target and nontarget populations has been eliminated. When disease can be controlled solely by interventions within target populations, little knowledge of potentially complex reservoir infection dynamics is necessary for effective control. We discuss the practical value of different approaches that may be used to identify reservoirs in the field.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                10 April 2014
                21 April 2014
                : 9
                : 4
                : e94384
                Affiliations
                [1 ]INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France
                [2 ]Institut Pasteur, CNR Borrelia, Paris, France
                University of Kentucky College of Medicine, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: EF XB. Performed the experiments: EF VC M. Garnier NS XB. Analyzed the data: MJ XB. Contributed reagents/materials/analysis tools: MJ M. Gonnet DA AC PG MCG BF ND JDG XB. Wrote the paper: MJ EF DA MCG GV XB.

                [¤a]

                Current address: Institut Pasteur, Département de Virologie, Paris, France

                [¤b]

                Current address: CNRS IN2P3, Laboratoire de Physique Corpusculaire, Aubière, France

                [¤c]

                Current address: Institut Pasteur, Unité des Interactions Moléculaires Flavivirus-Hôtes, Paris, France

                [¤d]

                Current address: Institut Pasteur, Unité de Recherche et d'Expertise des Bactéries Pathogènes Entériques, Paris, France

                [¤e]

                Current address: INRA, Centre de Traitement de l'Information Génétique, Jouy-en-Josas, France

                [¤f]

                Current address: Institut Pasteur, Unité Biologie et Pathogénicité Fongiques, Paris, France

                Article
                PONE-D-13-51852
                10.1371/journal.pone.0094384
                3993988
                24721934
                a5d1a175-111e-452f-b3a2-abdb81519777
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 December 2013
                : 13 March 2014
                Page count
                Pages: 19
                Funding
                This work was supported by funding from the French National Institute for Agricultural Research (INRA) through the 'AIP Bioressources 2009' initiative, the Auvergne region through the 'Lifegrid' program, and the European Union through the European Regional Development Fund (ERDF). Maude Jacquot received PhD funding from the French Ministry of Higher Education and Research (MESR), Mathieu Gonnet was supported by the ERDF and by the OSCAR project of the French National Research Agency. Alexandre Claude was supported by the 'Lifegrid' program. Interactions between members of the INRA and the Pasteur Institute are promoted by the 'Tick and Tick-Borne Diseases' (TMT) group, which is part of the Research Consortium on Biological Interactions (GdR REID). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Computational Biology
                Comparative Genomics
                Genome Evolution
                Evolutionary Biology
                Organismal Evolution
                Microbial Evolution
                Bacterial Evolution
                Genetics
                Genomics
                Structural Genomics
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Bacteriology
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Genome Sequencing
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Arachnida
                Ixodes
                Ticks
                Population Biology
                Population Dynamics
                Medicine and Health Sciences
                Epidemiology
                Disease Vectors
                Vector Biology
                Disease Dynamics
                Infectious Disease Epidemiology
                Infectious Diseases
                Emerging Infectious Diseases

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                Uncategorized

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