2021
DOI: 10.3390/genes12060847
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Dog10K_Boxer_Tasha_1.0: A Long-Read Assembly of the Dog Reference Genome

Abstract: The domestic dog has evolved to be an important biomedical model for studies regarding the genetic basis of disease, morphology and behavior. Genetic studies in the dog have relied on a draft reference genome of a purebred female boxer dog named “Tasha” initially published in 2005. Derived from a Sanger whole genome shotgun sequencing approach coupled with limited clone-based sequencing, the initial assembly and subsequent updates have served as the predominant resource for canine genetics for 15 years. While … Show more

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Cited by 20 publications
(18 citation statements)
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“…While our study establishes that canine breed diversification is principally driven by non-coding variation, we did not perform structural variant analysis and therefore do not detect potentially consequential copy number variants (Serres-Armero et al, 2021), which play significant roles in mammalian brain evolution and human neurodevelopmental disorder risk (Dennis et al, 2012; Zarrei et al, 2019). Newly available long-read reference annotated genomes (Edwards et al, 2021; Field et al, 2020; Halo et al, 2021; Jagannathan et al, 2021; Wang et al, 2021) will improve accuracy in identification of CNVs and indels, as well as variant identification in GC-rich promoter regions (Kim et al, 2021; Rhie et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While our study establishes that canine breed diversification is principally driven by non-coding variation, we did not perform structural variant analysis and therefore do not detect potentially consequential copy number variants (Serres-Armero et al, 2021), which play significant roles in mammalian brain evolution and human neurodevelopmental disorder risk (Dennis et al, 2012; Zarrei et al, 2019). Newly available long-read reference annotated genomes (Edwards et al, 2021; Field et al, 2020; Halo et al, 2021; Jagannathan et al, 2021; Wang et al, 2021) will improve accuracy in identification of CNVs and indels, as well as variant identification in GC-rich promoter regions (Kim et al, 2021; Rhie et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the above, this study relied on human annotations as part of a broad approach to characterizing loci. Identification of canine-specific regulatory elements within associated loci and topological associations will be done in future studies using newly available long-read canine reference genomes with improved annotations (Halo et al, 2021; Jagannathan et al, 2021; Wang et al, 2021). Finally, our identification of behavioral shifts among domestic dog breeds, though robust, are based on a questionnaire designed to measure broad aspects of temperament in dogs rather than expressly targeting breed-typical behavioral functions (e.g., pointing, herding, scent-trailing, etc.).…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…Next, we compared single-copy "Complete" BUSCO genes in Alpine dingo Cooinda and nine canid genomes [6,27,28,36,[38][39][40][41]). Of the 13,722 genes, 13,711 were found in the assembly using BUSCOMP v1.0.1.…”
Section: Assembly Statistics and Completenessmentioning
confidence: 99%
“…Great Dane [38], Labrador [39], Dog10K Boxer [40], and Greenland Wolf [41]) using BUSCOMP v1.0.1. Additional kmer-based assembly completeness and quality evaluations were performed using Merqury v21.3 [42] from the 10x reads.…”
Section: Workflowmentioning
confidence: 99%
“…Several other dog genome assemblies (Table S2) have been recently reported that might mitigate the shortcomings of a single alignment (i.e. CanFam3.1), including ROS_Cfam_1.0, UNSW_CanFamBas_1.0, Basenji_breed‐1.1, Dog10K_Boxer_Tasha, UU_Cfam_GSD_1.0 and UMICH_Zoey_3.1 (Edwards et al, 2021; Halo et al, 2021; Jagannathan et al, 2021; The Roslin Institute, 2020; Wang et al, 2021). The present findings demonstrate the importance of confirming putative variants across multiple assemblies, as a single reference genome may be insufficient for accurately identifying variants.…”
mentioning
confidence: 99%