Lack of Genetic Structure and Female-Specific Effect of Dispersal Barriers in a Rabies Vector, the Striped Skunk (Mephitis mephitis)

Talbot, Benoit; Garant, Dany; Paquette, Sébastien Rioux; Mainguy, Julien; Pelletier, Fanie

doi:10.1371/journal.pone.0049736

Cited by 20 publications

(33 citation statements)

References 75 publications

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“…; Talbot et al. , ). Although microsatellite data can lead to somewhat imprecise estimates of pairwise relatedness (Van de Casteele et al.…”

Section: Discussionmentioning

confidence: 98%

“…; Talbot et al. ). They included samples either taken from recovered road‐killed animals (Rees et al.…”

Section: Methodsmentioning

confidence: 99%

“… for the list of loci used and PCR protocols) and at nine loci developed for skunks (see Talbot et al. ). DNA amplification was performed using geneamp system 9700 thermocyclers (Applied Biosystems, Foster City, CA, USA).…”

Section: Methodsmentioning

confidence: 99%

“…; Talbot et al. ). These equivocal results may conceal the effect of unmeasured spatial variables and do not allow modelling mesocarnivore dispersal at the landscape scale.…”

Section: Introductionmentioning

confidence: 99%

“…; Talbot et al. ). To our knowledge, this is the first empirical work that addresses movement of these two important rabies hosts in a spatially explicit landscape genetics framework and also the first attempt to quantify the effect of habitat composition on their dispersal.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics

Paquette

Talbot

Garant

et al. 2014

Evolutionary Applications

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Predicting the geographic spread of wildlife epidemics requires knowledge about the movement patterns of disease hosts or vectors. The field of landscape genetics provides valuable approaches to study dispersal indirectly, which in turn may be used to understand patterns of disease spread. Here, we applied landscape genetic analyses and spatially explicit models to identify the potential path of raccoon rabies spread in a mesocarnivore community. We used relatedness estimates derived from microsatellite genotypes of raccoons and striped skunks to investigate their dispersal patterns in a heterogeneous landscape composed predominantly of agricultural, forested and residential areas. Samples were collected in an area covering 22 000 km2 in southern Québec, where the raccoon rabies variant (RRV) was first detected in 2006. Multiple regressions on distance matrices revealed that genetic distance among male raccoons was strictly a function of geographic distance, while dispersal in female raccoons was significantly reduced by the presence of agricultural fields. In skunks, our results suggested that dispersal is increased in edge habitats between fields and forest fragments in both males and females. Resistance modelling allowed us to identify likely dispersal corridors used by these two rabies hosts, which may prove especially helpful for surveillance and control (e.g. oral vaccination) activities.

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“…; Talbot et al. , ). Although microsatellite data can lead to somewhat imprecise estimates of pairwise relatedness (Van de Casteele et al.…”

Section: Discussionmentioning

confidence: 98%

“…; Talbot et al. ). They included samples either taken from recovered road‐killed animals (Rees et al.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…; Talbot et al. ). These equivocal results may conceal the effect of unmeasured spatial variables and do not allow modelling mesocarnivore dispersal at the landscape scale.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics

Paquette

Talbot

Garant

et al. 2014

Evolutionary Applications

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Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums

Hennessy¹,

Tsai²,

Beasley

et al. 2014

Jour. Wild. Mgmt.

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Raccoons (Procyon lotor) and Virginia opossums (Didelphis virginiana) are highly abundant, synanthropic mesocarnivores that can transmit epizootic diseases of critical importance to human and livestock health such as rabies and tuberculosis. Individuals of both species can exhibit large dispersal distances and our understanding of population connectivity for both of these species is limited. Data on population connectivity and potential for disease transmission are needed for each of these species for the development of data-informed management, control, and vaccination programs. Genetic connectivity among populations can be estimated by evaluation of metrics such as of isolation by distance (IBD) signatures and population structure. Such metrics are influenced not only by geographic distance and barriers to dispersal but also by the life-history characteristics of the species in question. We investigated the scale at which these species exhibited evidence of connectivity via gene flow, using samples collected from 9 sites spanning 254 km across north-central, west-central, south-central, and southern Indiana, USA. We evaluated genetic connectivity and signatures of IBD using Bayesian clustering analyses and matrix correlation methods. In the Bayesian model, raccoons were assigned to 3 genetic clusters, whereas Virginia opossums exhibited apparent panmixia. Spatial autocorrelation results indicated a significant positive correlation between genetic and geographic distance for raccoons at distances up to 25 km and for Virginia opossums up to 4 km. Interspecific differences in reproductive biology, social behavior, and dispersal are likely the causes for differences between these 2 species in the spatial partitioning of populations across broad ranges. In addition, geographic features and past glaciation events may be affecting the genetic characteristics of present-day raccoon populations. Improved information regarding interpopulation distance for these 2 synanthropic species may contribute to more effective management and disease-control programs. Ó 2014 The Wildlife Society.

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Influence of Host and Landscape‐Associated Factors in the Infection and Transmission of Pathogens: The Case of Directly Transmitted Virus in Mammals

Villalobos‐Segura,

Rico‐Chávez,

Suzán

et al. 2024

Veterinary Medicine & Sci

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BackgroundAmong pathogens associated with mammals, numerous viruses with a direct transmission route impact human, domestic and wild species health. Host and landscape factors affect viral infection and transmission dynamics of these viruses, along with barriers to host dispersal and gene exchange. However, studies show biases toward certain locations, hosts and detected pathogens, with regional variations in similar host–virus associations.MethodsUsing a systematic review, in two electronic repositories for articles published until December 2022, we analysed the available information on host‐ and landscape‐associated factors influencing the infection and transmission of directly transmitted viruses in mammals.ResultsIn the analysis, about 50% of papers examined either host traits, landscape composition or configuration measures, while approximately 24% combined host and landscape‐associated factors. Additionally, approximately 17% of the articles included climatic data and 30% integrated factors related to anthropogenic impact, as these variables have a role in host density, distribution and virus persistence. The most significant and frequent host traits used as predictor variables were sex, age, body weight, host density and species identity. Land cover was the most evaluated landscape attribute, while some explored configuration variables like edge density and fragmentation indexes. Finally, temperature, precipitation and features such as human population density and human footprint index were also typically measured and found impactful.ConclusionGiven the many contributions host‐ and landscape‐related factors have in pathogen dynamics, this systematic study contributes to a better knowledge of host–virus dynamics and the identification of variables and gaps that can be used for disease prevention.

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Lack of Genetic Structure and Female-Specific Effect of Dispersal Barriers in a Rabies Vector, the Striped Skunk (Mephitis mephitis)

Cited by 20 publications

References 75 publications

Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics

Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics

Elucidation of population connectivity in synanthropic mesopredators: Using genes to define relevant spatial scales for management of raccoons and Virginia opossums

Influence of Host and Landscape‐Associated Factors in the Infection and Transmission of Pathogens: The Case of Directly Transmitted Virus in Mammals

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