Abstract:Ectoparasites frequently vector pathogens from often unknown pathogen reservoirs to both human and animal populations. Simultaneous identification of the ectoparasite species, the wildlife host that provided their most recent blood meal(s), and their pathogen load would greatly facilitate the understanding of the complex transmission dynamics of vector-borne diseases. Currently, these identifications are principally performed using multiple polymerase chain reaction (PCR) assays. We developed an assay (EctoBai… Show more
“…We screened for all pathogens using polymerase chain reactions (PCR) following Campana et al . [61]. All positive apicomplexan and Coxiella PCR products, and a representative sampling of positive Anaplasma , Bartonella Borrelia and Rickettsia products were Sanger sequenced on an ABI 3130 (Life Technologies, Carlsbad, CA).…”
Understanding the effects of anthropogenic disturbance on zoonotic disease risk is both a critical conservation objective and a public health priority. Here, we evaluate the effects of multiple forms of anthropogenic disturbance across a precipitation gradient on the abundance of pathogen-infected small mammal hosts in a multi-host, multi-pathogen system in central Kenya. Our results suggest that conversion to cropland and wildlife loss alone drive systematic increases in rodent-borne pathogen prevalence, but that pastoral conversion has no such systematic effects. The effects are most likely explained both by changes in total small mammal abundance, and by changes in relative abundance of a few high-competence species, although changes in vector assemblages may also be involved. Several pathogens responded to interactions between disturbance type and climatic conditions, suggesting the potential for synergistic effects of anthropogenic disturbance and climate change on the distribution of disease risk. Overall, these results indicate that conservation can be an effective tool for reducing abundance of rodent-borne pathogens in some contexts (e.g. wildlife loss alone); however, given the strong variation in effects across disturbance types, pathogen taxa and environmental conditions, the use of conservation as public health interventions will need to be carefully tailored to specific pathogens and human contexts.This article is part of the themed issue ‘Conservation, biodiversity and infectious disease: scientific evidence and policy implications’.
“…We screened for all pathogens using polymerase chain reactions (PCR) following Campana et al . [61]. All positive apicomplexan and Coxiella PCR products, and a representative sampling of positive Anaplasma , Bartonella Borrelia and Rickettsia products were Sanger sequenced on an ABI 3130 (Life Technologies, Carlsbad, CA).…”
Understanding the effects of anthropogenic disturbance on zoonotic disease risk is both a critical conservation objective and a public health priority. Here, we evaluate the effects of multiple forms of anthropogenic disturbance across a precipitation gradient on the abundance of pathogen-infected small mammal hosts in a multi-host, multi-pathogen system in central Kenya. Our results suggest that conversion to cropland and wildlife loss alone drive systematic increases in rodent-borne pathogen prevalence, but that pastoral conversion has no such systematic effects. The effects are most likely explained both by changes in total small mammal abundance, and by changes in relative abundance of a few high-competence species, although changes in vector assemblages may also be involved. Several pathogens responded to interactions between disturbance type and climatic conditions, suggesting the potential for synergistic effects of anthropogenic disturbance and climate change on the distribution of disease risk. Overall, these results indicate that conservation can be an effective tool for reducing abundance of rodent-borne pathogens in some contexts (e.g. wildlife loss alone); however, given the strong variation in effects across disturbance types, pathogen taxa and environmental conditions, the use of conservation as public health interventions will need to be carefully tailored to specific pathogens and human contexts.This article is part of the themed issue ‘Conservation, biodiversity and infectious disease: scientific evidence and policy implications’.
“…Additional innovations include the development of sequencing libraries with specific targets for genomic investigations. Targeted capture techniques, which utilize hybridization oligonucleotide probes to enrich for specific nucleic acids, have become popular for their array of uses in addition to their application in noninvasive or ancient sample specimens (Perry et al 2010;Campana et al 2016;Lee et al 2017). The primary limitation of these techniques is that target sequences, from pathogens for example, must be known a priori, making the discovery of novel pathogens more difficult.…”
The outbreak and transmission of disease-causing pathogens are contributing to the unprecedented rate of biodiversity decline. Recent advances in genomics have coalesced into powerful tools to monitor, detect, and reconstruct the role of pathogens impacting wildlife populations. Wildlife researchers are thus uniquely positioned to merge ecological and evolutionary studies with genomic technologies to exploit unprecedented "Big Data" tools in disease research; however, many researchers lack the training and expertise required to use these computationally intensive methodologies. To address this disparity, the inaugural "Genomics of Disease in Wildlife" workshop assembled early to mid-career professionals with expertise across scientific disciplines (e.g., genomics, wildlife biology, veterinary sciences, and conservation management) for training in the application of genomic tools to wildlife disease research. A horizon scanning-like exercise, an activity to identify forthcoming trends and challenges, performed by the workshop participants identified and discussed 5 themes considered to be the most pressing to the application of genomics in wildlife disease research: 1) "Improving communication, " 2) "Methodological and analytical advancements, " 3) "Translation into practice, " 4) "Integrating landscape ecology and genomics, " and 5) "Emerging new questions. " Wide-ranging solutions from the horizon scan were international in scope, itemized both deficiencies and strengths in wildlife genomic initiatives, promoted the use of genomic technologies to unite wildlife and human disease research, and advocated best practices for optimal use of genomic tools in wildlife disease projects. The results offer a glimpse of the potential revolution in human and wildlife disease research possible through multi-disciplinary collaborations at local, regional, and global scales.
“…To benchmark typical baitstools performance, baits were generated and filtered using sequence data from previously sequenced African wild dog ( Lycaon pictus ) genomes (Campana, Hawkins et al., , Campana, Parker et al., ), reference sequences from GenBank (accessions: , , , ) (Bjornerfeldt, Webster, & Vilà, ; Kim, Lee, Jeong, & Ha, ; Koepfli et al., ; Lindblad‐Toh et al., ), and simulated Stacks data and ipyrad loci (available: ipyrad.readthedocs.io/output_formats.html). Benchmarked data sets are included in the example data within the baitstools repository, except for the Canis familiaris X chromosome sequence (GenBank accession: ) due to file size limitations.…”
Section: Performancementioning
confidence: 99%
“…Furthermore, to compare performance between baitstools tilebaits and BaitDesigner ( picard version 2.9.4), baits were generated from a 16,725 bp Lycaon pictus mitogenome (GenBank accession: ; Campana, Hawkins et al., , Campana, Parker et al., ) under analogous settings. Each program generated 120 bp baits with a 60 bp offset between baits.…”
Section: Performancementioning
confidence: 99%
“…Targeted high‐throughput sequencing using hybridization capture (e.g., Gnirke et al., ) is a critical tool in molecular ecology and genomics. Applications include genomic investigations of nonmodel organisms using ultra‐conserved elements (Faircloth et al., ; Lim & Braun, ), exome capture (e.g., Ng et al., ), single nucleotide polymorphism (SNP) analysis (e.g., Burbano et al., ), targeted metagenomics (e.g., Campana, Hawkins et al., , Campana, Parker et al., ), and ancient DNA enrichment and museomics (e.g., Burbano et al., ; Hawkins et al., ; Lim & Braun, ), among others. Hybridization capture utilizes oligonucleotide baits to enrich target molecules from nucleic acid libraries through hybridization of the baits to complementary nucleotide sequences in the libraries, isolation of the hybridized molecules and removal of the nontarget library molecules.…”
Nucleic acid hybridization capture is a principal technology in molecular ecology and genomics. Bait design, however, is a nontrivial task and few resources currently exist to automate the process. Here, I present baitstools, an open-source, user-friendly software package to facilitate the design of nucleic acid baits for hybridization capture.
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