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2016
DOI: 10.1111/1755-0998.12524
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Simultaneous identification of host, ectoparasite and pathogen DNA via in‐solution capture

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

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Cited by 33 publications
(28 citation statements)
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References 45 publications
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“…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).…”
Section: Methodsmentioning
confidence: 99%
“…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).…”
Section: Methodsmentioning
confidence: 99%
“…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.…”
Section: Advances In Sample Processingmentioning
confidence: 99%
“…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%
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