<b>Abstract</b><br/><p>Brown rats (<i>Rattus norvegicus</i>) have commensally spread from northern China and Mongolia to become among the most invasive species on the planet. Understanding the proximate source(s) of invasion can inform biosecurity plans and eradication strategies for preventing or mitigating impacts to native biodiversity. The Haida Gwaii archipelago, located off the coast of British Columbia, Canada, is a significant nesting site for 1.5 million seabirds across 12 species, half of which are now threatened by brown rats. Local knowledge points to a European origin in the late 1800’s to early 1900’s, though the true source(s) and firm date(s) of invasion remain unknown. To fill these knowledge gaps, we analyzed genotypic data (16,598 SNPs) for 280 brown rats sampled throughout Haida Gwaii relative to a published global database of potential source populations. Principle component analysis and population assignment tests supported multiple potential invasion sources from Europe and North America. Likewise, demographic modelling best supported two invasions into the islands. The first invasion likely occurred in the early 1900’s into the south-central archipelago from Western Europe followed by a more recent invasion in the early 2000’s from Vancouver, British Columbia, into northern Haida Gwaii. The northern invasion of Haida Gwaii could also be indicative of contemporary gene flow between Haida Gwaii and the mainland, representing a significant biosecurity risk. Our results will inform management strategies for invasive rats in Haida Gwaii, and serve as a guide for studies in other isolated systems worldwide.</p>

<b>Abstract</b><br/><p>Urban Norway rats (<i>Rattus norvegicus</i>) carry several pathogens transmissible to people. However, pathogen prevalence can vary across fine spatial scales (i.e., by city block). Using a population genomics approach, we sought to describe rat movement patterns across an urban landscape, and to evaluate whether these patterns align with pathogen distributions. We genotyped 605 rats from a single neighborhood in Vancouver, Canada and used 1,495 genome-wide single nucleotide polymorphisms to identify parent-offspring and sibling relationships using pedigree analysis. We resolved 1,246 pairs of relatives, of which only 1% of pairs were captured in different city blocks. Relatives were primarily caught within 33 meters of each other leading to a highly leptokurtic distribution of dispersal distances. Using binomial generalized linear mixed models we evaluated whether family relationships influenced rat pathogen status with the bacterial pathogens <i>Leptospira interrogans</i>, <i>Bartonella tribocorum</i>, and <i>Clostridium difficile</i>, and found that an individual’s pathogen status was not predicted any better by including disease status of related rats. The spatial clustering of related rats and their pathogens lends support to the hypothesis that spatially restricted movement promotes the heterogeneous patterns of pathogen prevalence evidenced in this population. <span lang="EN-US" style="background:white;">Our findings also highlight the utility of evolutionary tools to understand movement and rat-associated health risks in urban landscapes.</span></p>

<b>Abstract</b><br/>Urbanization often substantially influences animal movement and gene flow. However, few studies to date have examined gene flow of the same species across multiple cities. In this study, we examine brown rats (Rattus norvegicus) to test hypotheses about the repeatability of neutral evolution across four cities: Salvador, Brazil; New Orleans, USA; Vancouver, Canada; New York City, USA. At least 150 rats were sampled from each city and genotyped for a minimum of 15,000 genome-wide SNPs. Levels of genome-wide diversity were similar across cities, but varied across neighborhoods within cities. All four populations exhibited high spatial autocorrelation at the shortest distance classes (< 500 m) due to limited dispersal. Coancestry and evolutionary clustering analyses identified genetic discontinuities within each city that coincided with a resource desert in New York City, major waterways in New Orleans, and roads in Salvador and Vancouver. Such replicated studies are crucial to assessing the generality of predictions from urban evolution, and have practical applications for pest management and public health. Future studies should include a range of global cities in different biomes, incorporate multiple species, and examine the impact of specific characteristics of the built environment and human socioeconomics on gene flow.

Evidence is growing that human modification of landscapes has dramatically altered evolutionary processes. In urban population genetic studies, urbanization is typically predicted to act as a barrier that isolates populations of species, leading to increased genetic drift within populations and reduced gene flow between populations. However, urbanization may also facilitate dispersal among populations, leading to higher genetic diversity within and lower differentiation between urban populations. We reviewed the literature on non-adaptive urban evolution to evaluate the support for each of these urbanse urban fragmentation and facilitation models. In a review of the literature with supporting quantitative analyses of 167 published urban population genetics studies, we found a weak signature of reduced within-population genetic diversity, and no evidence of consistently increased between-population genetic differentiation associated with urbanization. In addition, we found that urban landscape features act as barriers or conduits to gene flow, depending on the species and city in question. Thus, we speculate that dispersal ability of species and environmental heterogeneity between cities contribute to the variation exhibited in our results. However, greater than 90% of published studies reviewed here showed an association of urbanization with genetic drift or gene flow, highlighting the strong impact of urbanization on non-adaptive evolution. It is clear that organism biology and city heterogeneity obscure patterns of genetic drift and gene flow in a quantitative analysis. Thus, we suggest that future research makes comparisons of multiple cities and nonurban habitats, and takes into consideration species’ natural history, environmental variation, spatial modelling, and marker selection.

No description available

No description available

No description available

No description available

No description available

No description available