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Data from: Using genetic relatedness to understand heterogeneous distributions of urban rat-associated pathogens

Cite this dataset

Byers, Kaylee et al. (2020). Data from: Using genetic relatedness to understand heterogeneous distributions of urban rat-associated pathogens [Dataset]. Dryad. https://doi.org/10.5061/dryad.t4b8gthzt

Abstract

Urban Norway rats (Rattus norvegicus) 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 Leptospira interrogans, Bartonella tribocorum, and Clostridium difficile, 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. Our findings also highlight the utility of evolutionary tools to understand movement and rat-associated health risks in urban landscapes.

Usage notes

Full_SNP_genotypes.vcf

A vcf file containing the original dataset of 519,939 SNP genotypes from 617 Norway rats.

Filtered_SNP_genotypes.vcf

A vcf file containing a subset of 1,495 SNP genotypes from 605 Norway rats obtained through filtering steps outlined in the manuscript.

Rat_MetaData_All.csv

This file contains relevant metadata for rats included in this analysis, such as location and season of capture, sex, maturity, age, and pathogen status. This data sheet contains the data for all 617 rats included in the Full_SNP_genotypes file.

Rat_MetaData_Subset.csv

This file contains relevant metadata for rats included in this analysis, such as location and season of capture, sex, maturity, age, and pathogen status. This data sheet contains the data for the subset of 605 rats analyzed in this paper.

MetaData_Variables_Explained.pdf

This file includes details regarding how variables in the Rat MetaData files are coded.

Funding

Canadian Institutes of Health Research, Award: MOP-119530

Canadian Institutes of Health Research, Award: CGV-104833

Natural Sciences and Engineering Research Council, Award: RGPIN-2015-05058

Natural Sciences and Engineering Research Council, Award: RGPIN-2016-03779

National Science Foundation, Award: DEB 1457523