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Nguyen AK, Schall PZ, Kidd JM. A map of canine sequence variation relative to a Greenland wolf outgroup. Mamm Genome 2024; 35:565-576. [PMID: 39088040 DOI: 10.1007/s00335-024-10056-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 07/25/2024] [Indexed: 08/02/2024]
Abstract
For over 15 years, canine genetics research relied on a reference assembly from a Boxer breed dog named Tasha (i.e., canFam3.1). Recent advances in long-read sequencing and genome assembly have led to the development of numerous high-quality assemblies from diverse canines. These assemblies represent notable improvements in completeness, contiguity, and the representation of gene promoters and gene models. Although genome graph and pan-genome approaches have promise, most genetic analyses in canines rely upon the mapping of Illumina sequencing reads to a single reference. The Dog10K consortium, and others, have generated deep catalogs of genetic variation through an alignment of Illumina sequencing reads to a reference genome obtained from a German Shepherd Dog named Mischka (i.e., canFam4, UU_Cfam_GSD_1.0). However, alignment to a breed-derived genome may introduce bias in genotype calling across samples. Since the use of an outgroup reference genome may remove this effect, we have reprocessed 1929 samples analyzed by the Dog10K consortium using a Greenland wolf (mCanLor1.2) as the reference. We efficiently performed remapping and variant calling using a GPU-implementation of common analysis tools. The resulting call set removes the variability in genetic differences seen across samples and breed relationships revealed by principal component analysis are not affected by the choice of reference genome. Using this sequence data, we inferred the history of population sizes and found that village dog populations experienced a 9-13 fold reduction in historic effective population size relative to wolves.
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Affiliation(s)
- Anthony K Nguyen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Peter Z Schall
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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2
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Funk MW, Kidd JM. A Variant-Centric Analysis of Allele Sharing in Dogs and Wolves. Genes (Basel) 2024; 15:1168. [PMID: 39336759 PMCID: PMC11431226 DOI: 10.3390/genes15091168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 08/28/2024] [Accepted: 08/30/2024] [Indexed: 09/30/2024] Open
Abstract
Canines are an important model system for genetics and evolution. Recent advances in sequencing technologies have enabled the creation of large databases of genetic variation in canines, but analyses of allele sharing among canine groups have been limited. We applied GeoVar, an approach originally developed to study the sharing of single nucleotide polymorphisms across human populations, to assess the sharing of genetic variation among groups of wolves, village dogs, and breed dogs. Our analysis shows that wolves differ from each other at an average of approximately 2.3 million sites while dogs from the same breed differ at nearly 1 million sites. We found that 22% of the variants are common across wolves, village dogs, and breed dogs, that ~16% of variable sites are common across breed dogs, and that nearly half of the differences between two dogs of different breeds are due to sites that are common in all clades. These analyses represent a succinct summary of allele sharing across canines and illustrate the effects of canine history on the apportionment of genetic variation.
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Affiliation(s)
- Matthew W. Funk
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA;
| | - Jeffrey M. Kidd
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA;
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
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3
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Buckley RM, Ostrander EA. Large-scale genomic analysis of the domestic dog informs biological discovery. Genome Res 2024; 34:811-821. [PMID: 38955465 PMCID: PMC11293549 DOI: 10.1101/gr.278569.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Recent advances in genomics, coupled with a unique population structure and remarkable levels of variation, have propelled the domestic dog to new levels as a system for understanding fundamental principles in mammalian biology. Central to this advance are more than 350 recognized breeds, each a closed population that has undergone selection for unique features. Genetic variation in the domestic dog is particularly well characterized compared with other domestic mammals, with almost 3000 high-coverage genomes publicly available. Importantly, as the number of sequenced genomes increases, new avenues for analysis are becoming available. Herein, we discuss recent discoveries in canine genomics regarding behavior, morphology, and disease susceptibility. We explore the limitations of current data sets for variant interpretation, tradeoffs between sequencing strategies, and the burgeoning role of long-read genomes for capturing structural variants. In addition, we consider how large-scale collections of whole-genome sequence data drive rare variant discovery and assess the geographic distribution of canine diversity, which identifies Asia as a major source of missing variation. Finally, we review recent comparative genomic analyses that will facilitate annotation of the noncoding genome in dogs.
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Affiliation(s)
- Reuben M Buckley
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
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4
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Nguyen AK, Blacksmith MS, Kidd JM. Duplications and Retrogenes Are Numerous and Widespread in Modern Canine Genomic Assemblies. Genome Biol Evol 2024; 16:evae142. [PMID: 38946312 PMCID: PMC11259980 DOI: 10.1093/gbe/evae142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 05/08/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024] Open
Abstract
Recent years have seen a dramatic increase in the number of canine genome assemblies available. Duplications are an important source of evolutionary novelty and are also prone to misassembly. We explored the duplication content of nine canine genome assemblies using both genome self-alignment and read-depth approaches. We find that 8.58% of the genome is duplicated in the canFam4 assembly, derived from the German Shepherd Dog Mischka, including 90.15% of unplaced contigs. Highlighting the continued difficulty in properly assembling duplications, less than half of read-depth and assembly alignment duplications overlap, but the mCanLor1.2 Greenland wolf assembly shows greater concordance. Further study shows the presence of multiple segments that have alignments to four or more duplicate copies. These high-recurrence duplications correspond to gene retrocopies. We identified 3,892 candidate retrocopies from 1,316 parental genes in the canFam4 assembly and find that ∼8.82% of duplicated base pairs involve a retrocopy, confirming this mechanism as a major driver of gene duplication in canines. Similar patterns are found across eight other recent canine genome assemblies, with metrics supporting a greater quality of the PacBio HiFi mCanLor1.2 assembly. Comparison between the wolf and other canine assemblies found that 92% of retrocopy insertions are shared between assemblies. By calculating the number of generations since genome divergence, we estimate that new retrocopy insertions appear, on average, in 1 out of 3,514 births. Our analyses illustrate the impact of retrogene formation on canine genomes and highlight the variable representation of duplicated sequences among recently completed canine assemblies.
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Affiliation(s)
- Anthony K Nguyen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Matthew S Blacksmith
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
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5
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Kehl A, Aupperle-Lellbach H, de Brot S, van der Weyden L. Review of Molecular Technologies for Investigating Canine Cancer. Animals (Basel) 2024; 14:769. [PMID: 38473154 PMCID: PMC10930838 DOI: 10.3390/ani14050769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/09/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Genetic molecular testing is starting to gain traction as part of standard clinical practice for dogs with cancer due to its multi-faceted benefits, such as potentially being able to provide diagnostic, prognostic and/or therapeutic information. However, the benefits and ultimate success of genomic analysis in the clinical setting are reliant on the robustness of the tools used to generate the results, which continually expand as new technologies are developed. To this end, we review the different materials from which tumour cells, DNA, RNA and the relevant proteins can be isolated and what methods are available for interrogating their molecular profile, including analysis of the genetic alterations (both somatic and germline), transcriptional changes and epigenetic modifications (including DNA methylation/acetylation and microRNAs). We also look to the future and the tools that are currently being developed, such as using artificial intelligence (AI) to identify genetic mutations from histomorphological criteria. In summary, we find that the molecular genetic characterisation of canine neoplasms has made a promising start. As we understand more of the genetics underlying these tumours and more targeted therapies become available, it will no doubt become a mainstay in the delivery of precision veterinary care to dogs with cancer.
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Affiliation(s)
- Alexandra Kehl
- Laboklin GmbH & Co. KG, Steubenstr. 4, 97688 Bad Kissingen, Germany; (A.K.); (H.A.-L.)
- School of Medicine, Institute of Pathology, Technical University of Munich, Trogerstr. 18, 81675 München, Germany
| | - Heike Aupperle-Lellbach
- Laboklin GmbH & Co. KG, Steubenstr. 4, 97688 Bad Kissingen, Germany; (A.K.); (H.A.-L.)
- School of Medicine, Institute of Pathology, Technical University of Munich, Trogerstr. 18, 81675 München, Germany
| | - Simone de Brot
- Institute of Animal Pathology, COMPATH, University of Bern, 3012 Bern, Switzerland;
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6
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Schall PZ, Winkler PA, Petersen-Jones SM, Yuzbasiyan-Gurkan V, Kidd JM. Genome-wide methylation patterns from canine nanopore assemblies. G3 (BETHESDA, MD.) 2023; 13:jkad203. [PMID: 37681359 PMCID: PMC10627269 DOI: 10.1093/g3journal/jkad203] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
Recent advances in long-read sequencing have enabled the creation of reference-quality genome assemblies for multiple individuals within a species. In particular, 8 long-read genome assemblies have recently been published for the canine model (dogs and wolves). These assemblies were created using a range of sequencing and computational approaches, with only limited comparisons described among subsets of the assemblies. Here we present 3 high-quality de novo reference assemblies based upon Oxford Nanopore long-read sequencing: 2 Bernese Mountain Dogs (BD & OD) and a Cairn terrier (CA611). These breeds are of particular interest due to the enrichment of unresolved genetic disorders. Leveraging advancement in software technologies, we utilized published data of Labrador Retriever (Yella) to generate a new assembly, resulting in a ∼280-fold increase in continuity (N50 size of 91 kbp vs 25.75 Mbp). In conjunction with these 4 new assemblies, we uniformly assessed 8 existing assemblies for generalized quality metrics, sequence divergence, and a detailed BUSCO assessment. We identified a set of ∼400 conserved genes during the BUSCO analysis missing in all assemblies. Genome-wide methylation profiles were generated from the nanopore sequencing, resulting in broad concordance with existing whole-genome and reduced-representation bisulfite sequencing, while highlighting superior overage of mobile elements. These analyses demonstrate the ability of Nanopore sequencing to resolve the sequence and epigenetic profile of canine genomes.
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Affiliation(s)
- Peter Z Schall
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Paige A Winkler
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Simon M Petersen-Jones
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Vilma Yuzbasiyan-Gurkan
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
- Department of Microbiology and Molecular Genetics, College of Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
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7
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Meadows JRS, Kidd JM, Wang GD, Parker HG, Schall PZ, Bianchi M, Christmas MJ, Bougiouri K, Buckley RM, Hitte C, Nguyen AK, Wang C, Jagannathan V, Niskanen JE, Frantz LAF, Arumilli M, Hundi S, Lindblad-Toh K, Ginja C, Agustina KK, André C, Boyko AR, Davis BW, Drögemüller M, Feng XY, Gkagkavouzis K, Iliopoulos G, Harris AC, Hytönen MK, Kalthoff DC, Liu YH, Lymberakis P, Poulakakis N, Pires AE, Racimo F, Ramos-Almodovar F, Savolainen P, Venetsani S, Tammen I, Triantafyllidis A, vonHoldt B, Wayne RK, Larson G, Nicholas FW, Lohi H, Leeb T, Zhang YP, Ostrander EA. Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture. Genome Biol 2023; 24:187. [PMID: 37582787 PMCID: PMC10426128 DOI: 10.1186/s13059-023-03023-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 07/25/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND The international Dog10K project aims to sequence and analyze several thousand canine genomes. Incorporating 20 × data from 1987 individuals, including 1611 dogs (321 breeds), 309 village dogs, 63 wolves, and four coyotes, we identify genomic variation across the canid family, setting the stage for detailed studies of domestication, behavior, morphology, disease susceptibility, and genome architecture and function. RESULTS We report the analysis of > 48 M single-nucleotide, indel, and structural variants spanning the autosomes, X chromosome, and mitochondria. We discover more than 75% of variation for 239 sampled breeds. Allele sharing analysis indicates that 94.9% of breeds form monophyletic clusters and 25 major clades. German Shepherd Dogs and related breeds show the highest allele sharing with independent breeds from multiple clades. On average, each breed dog differs from the UU_Cfam_GSD_1.0 reference at 26,960 deletions and 14,034 insertions greater than 50 bp, with wolves having 14% more variants. Discovered variants include retrogene insertions from 926 parent genes. To aid functional prioritization, single-nucleotide variants were annotated with SnpEff and Zoonomia phyloP constraint scores. Constrained positions were negatively correlated with allele frequency. Finally, the utility of the Dog10K data as an imputation reference panel is assessed, generating high-confidence calls across varied genotyping platform densities including for breeds not included in the Dog10K collection. CONCLUSIONS We have developed a dense dataset of 1987 sequenced canids that reveals patterns of allele sharing, identifies likely functional variants, informs breed structure, and enables accurate imputation. Dog10K data are publicly available.
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Affiliation(s)
- Jennifer R S Meadows
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden.
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA.
| | - Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Heidi G Parker
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Peter Z Schall
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Matteo Bianchi
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Matthew J Christmas
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Katia Bougiouri
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Reuben M Buckley
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Christophe Hitte
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Anthony K Nguyen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48107, USA
| | - Chao Wang
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Julia E Niskanen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Laurent A F Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London E14NS, UK and Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, D-80539, Munich, Germany
| | - Meharji Arumilli
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Sruthi Hundi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132, Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Catarina Ginja
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | | | - Catherine André
- University of Rennes, CNRS, Institute Genetics and Development Rennes - UMR6290, 35000, Rennes, France
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, 930 Campus Road, Ithaca, NY, 14853, USA
| | - Brian W Davis
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Michaela Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Xin-Yao Feng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Konstantinos Gkagkavouzis
- Department of Genetics, School of Biology, ), Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Giorgos Iliopoulos
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Alexander C Harris
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Daniela C Kalthoff
- NGO "Callisto", Wildlife and Nature Conservation Society, 54621, Thessaloniki, Greece
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Petros Lymberakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Nikolaos Poulakakis
- Natural History Museum of Crete & Department of Biology, University of Crete, 71202, Irakleio, Greece
- Biology Department, School of Sciences and Engineering, University of Crete, Heraklion, Greece
- Palaeogenomics and Evolutionary Genetics Lab, Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece
| | - Ana Elisabete Pires
- BIOPOLIS-CIBIO-InBIO-Centro de Investigação Em Biodiversidade E Recursos Genéticos - ArchGen Group, Universidade Do Porto, 4485-661, Vairão, Portugal
| | - Fernando Racimo
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | | | - Peter Savolainen
- Department of Gene Technology, Science for Life Laboratory, KTH - Royal Institute of Technology, 17121, Solna, Sweden
| | - Semina Venetsani
- Department of Genetics, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Macedonia, Greece
| | - Imke Tammen
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Alexandros Triantafyllidis
- Department of Genetics, School of Biology, ), Aristotle University of Thessaloniki, Thessaloniki, Macedonia 54124, Greece and Genomics and Epigenomics Translational Research (GENeTres), Center for Interdisciplinary Research and Innovation (CIRI-AUTH, Balkan Center, Thessaloniki, Greece
| | - Bridgett vonHoldt
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095-7246, USA
| | - Greger Larson
- Palaeogenomics and Bio-Archaeology Research Network, School of Archaeology, University of Oxford, Oxford, OX1 3TG, UK
| | - Frank W Nicholas
- Sydney School of Veterinary Science, The University of Sydney, Sydney, NSW, 2570, Australia
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki and Folkhälsan Research Center, 02900, Helsinki, Finland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Building 50 Room 5351, Bethesda, MD, 20892, USA.
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8
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Ballard JWO, Field MA, Edwards RJ, Wilson LAB, Koungoulos LG, Rosen BD, Chernoff B, Dudchenko O, Omer A, Keilwagen J, Skvortsova K, Bogdanovic O, Chan E, Zammit R, Hayes V, Aiden EL. The Australasian dingo archetype: de novo chromosome-length genome assembly, DNA methylome, and cranial morphology. Gigascience 2023; 12:giad018. [PMID: 36994871 PMCID: PMC10353722 DOI: 10.1093/gigascience/giad018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 01/13/2023] [Accepted: 02/28/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND One difficulty in testing the hypothesis that the Australasian dingo is a functional intermediate between wild wolves and domesticated breed dogs is that there is no reference specimen. Here we link a high-quality de novo long-read chromosomal assembly with epigenetic footprints and morphology to describe the Alpine dingo female named Cooinda. It was critical to establish an Alpine dingo reference because this ecotype occurs throughout coastal eastern Australia where the first drawings and descriptions were completed. FINDINGS We generated a high-quality chromosome-level reference genome assembly (Canfam_ADS) using a combination of Pacific Bioscience, Oxford Nanopore, 10X Genomics, Bionano, and Hi-C technologies. Compared to the previously published Desert dingo assembly, there are large structural rearrangements on chromosomes 11, 16, 25, and 26. Phylogenetic analyses of chromosomal data from Cooinda the Alpine dingo and 9 previously published de novo canine assemblies show dingoes are monophyletic and basal to domestic dogs. Network analyses show that the mitochondrial DNA genome clusters within the southeastern lineage, as expected for an Alpine dingo. Comparison of regulatory regions identified 2 differentially methylated regions within glucagon receptor GCGR and histone deacetylase HDAC4 genes that are unmethylated in the Alpine dingo genome but hypermethylated in the Desert dingo. Morphologic data, comprising geometric morphometric assessment of cranial morphology, place dingo Cooinda within population-level variation for Alpine dingoes. Magnetic resonance imaging of brain tissue shows she had a larger cranial capacity than a similar-sized domestic dog. CONCLUSIONS These combined data support the hypothesis that the dingo Cooinda fits the spectrum of genetic and morphologic characteristics typical of the Alpine ecotype. We propose that she be considered the archetype specimen for future research investigating the evolutionary history, morphology, physiology, and ecology of dingoes. The female has been taxidermically prepared and is now at the Australian Museum, Sydney.
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Affiliation(s)
- J William O Ballard
- School of Biosciences, University of Melbourne, Royal Parade, Parkville, Victoria 3052, Australia
- Department of Environment and Genetics, SABE, La Trobe University, Melbourne, Victoria 3086, Australia
| | - Matt A Field
- Centre for Tropical Bioinformatics and Molecular Biology, College of Public Health, Medical and Veterinary Science, James Cook University, Cairns, Queensland 4870, Australia
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia
| | - Richard J Edwards
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Laura A B Wilson
- School of Archaeology and Anthropology, The Australian National University, Acton, ACT 2600, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Loukas G Koungoulos
- Department of Archaeology, School of Philosophical and Historical Inquiry, the University of Sydney, Sydney, NSW 2006, Australia
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705, USA
| | - Barry Chernoff
- College of the Environment, Departments of Biology, and Earth & Environmental Sciences, Wesleyan University, Middletown, CT 06459, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
| | - Arina Omer
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
| | - Jens Keilwagen
- Institute for Biosafety in Plant Biotechnology, Julius Kühn-Institut, Quedlinburg 06484, Germany
| | - Ksenia Skvortsova
- Developmental Epigenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Ozren Bogdanovic
- Developmental Epigenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Eva Chan
- Developmental Epigenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Statewide Genomics, New South Wales Health Pathology, Newcastle, NSW 2300, Australia
| | - Robert Zammit
- Vineyard Veterinary Hospital,Vineyard, NSW 2765, Australia
| | - Vanessa Hayes
- Developmental Epigenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Charles Perkins Centre, Faculty of Medical Sciences, University of Sydney, Camperdown, NSW 2006, Australia
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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9
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Ballard JWO, Field MA, Edwards RJ, Wilson LAB, Koungoulos LG, Rosen BD, Chernoff B, Dudchenko O, Omer A, Keilwagen J, Skvortsova K, Bogdanovic O, Chan E, Zammit R, Hayes V, Aiden EL. The Australasian dingo archetype: De novo chromosome-length genome assembly, DNA methylome, and cranial morphology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525801. [PMID: 36747621 PMCID: PMC9900879 DOI: 10.1101/2023.01.26.525801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Background One difficulty in testing the hypothesis that the Australasian dingo is a functional intermediate between wild wolves and domesticated breed dogs is that there is no reference specimen. Here we link a high-quality de novo long read chromosomal assembly with epigenetic footprints and morphology to describe the Alpine dingo female named Cooinda. It was critical to establish an Alpine dingo reference because this ecotype occurs throughout coastal eastern Australia where the first drawings and descriptions were completed. Findings We generated a high-quality chromosome-level reference genome assembly (Canfam_ADS) using a combination of Pacific Bioscience, Oxford Nanopore, 10X Genomics, Bionano, and Hi-C technologies. Compared to the previously published Desert dingo assembly, there are large structural rearrangements on Chromosomes 11, 16, 25 and 26. Phylogenetic analyses of chromosomal data from Cooinda the Alpine dingo and nine previously published de novo canine assemblies show dingoes are monophyletic and basal to domestic dogs. Network analyses show that the mtDNA genome clusters within the southeastern lineage, as expected for an Alpine dingo. Comparison of regulatory regions identified two differentially methylated regions within glucagon receptor GCGR and histone deacetylase HDAC4 genes that are unmethylated in the Alpine dingo genome but hypermethylated in the Desert dingo. Morphological data, comprising geometric morphometric assessment of cranial morphology place dingo Cooinda within population-level variation for Alpine dingoes. Magnetic resonance imaging of brain tissue show she had a larger cranial capacity than a similar-sized domestic dog. Conclusions These combined data support the hypothesis that the dingo Cooinda fits the spectrum of genetic and morphological characteristics typical of the Alpine ecotype. We propose that she be considered the archetype specimen for future research investigating the evolutionary history, morphology, physiology, and ecology of dingoes. The female has been taxidermically prepared and is now at the Australian Museum, Sydney.
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Affiliation(s)
- J William O Ballard
- School of Biosciences, University of Melbourne, Royal Parade, Parkville, Victoria 3052, Australia
- Department of Environment and Genetics, SABE, La Trobe University, Melbourne Victoria 3086, Australia
| | - Matt A Field
- Centre for Tropical Bioinformatics and Molecular Biology, College of Public Health, Medical and Veterinary Science, James Cook University, Cairns, Queensland 4870, Australia
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Richard J Edwards
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney NSW 2052, Australia
| | - Laura A B Wilson
- School of Archaeology and Anthropology, The Australian National University, Acton, ACT 2600, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Loukas G Koungoulos
- Department of Archaeology, School of Philosophical and Historical Inquiry, the University of Sydney, Sydney, Australia 2006
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705
| | - Barry Chernoff
- College of the Environment, Departments of Biology, and Earth & Environmental Sciences, Wesleyan University, Middletown, CT 06459, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030 USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
| | - Arina Omer
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
| | - Jens Keilwagen
- Julius Kühn-Institut, Erwin-Baur-Str. 27 06484 Quedlinburg, Germany
| | | | - Ozren Bogdanovic
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Eva Chan
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Statewide Genomics, New South Wales Health Pathology, 45 Watt St, Newcastle NSW 2300, Australia
| | - Robert Zammit
- Vineyard Veterinary Hospital, 703 Windsor Rd, Vineyard, NSW 2765, Australia
| | - Vanessa Hayes
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Charles Perkins Centre, Faculty of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030 USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX 77005, USA
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, Pudong 201210, China
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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10
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Field MA, Yadav S, Dudchenko O, Esvaran M, Rosen BD, Skvortsova K, Edwards RJ, Keilwagen J, Cochran BJ, Manandhar B, Bustamante S, Rasmussen JA, Melvin RG, Chernoff B, Omer A, Colaric Z, Chan EKF, Minoche AE, Smith TPL, Gilbert MTP, Bogdanovic O, Zammit RA, Thomas T, Aiden EL, Ballard JWO. The Australian dingo is an early offshoot of modern breed dogs. SCIENCE ADVANCES 2022; 8:eabm5944. [PMID: 35452284 PMCID: PMC9032958 DOI: 10.1126/sciadv.abm5944] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/09/2022] [Indexed: 06/11/2023]
Abstract
Dogs are uniquely associated with human dispersal and bring transformational insight into the domestication process. Dingoes represent an intriguing case within canine evolution being geographically isolated for thousands of years. Here, we present a high-quality de novo assembly of a pure dingo (CanFam_DDS). We identified large chromosomal differences relative to the current dog reference (CanFam3.1) and confirmed no expanded pancreatic amylase gene as found in breed dogs. Phylogenetic analyses using variant pairwise matrices show that the dingo is distinct from five breed dogs with 100% bootstrap support when using Greenland wolf as the outgroup. Functionally, we observe differences in methylation patterns between the dingo and German shepherd dog genomes and differences in serum biochemistry and microbiome makeup. Our results suggest that distinct demographic and environmental conditions have shaped the dingo genome. In contrast, artificial human selection has likely shaped the genomes of domestic breed dogs after divergence from the dingo.
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Affiliation(s)
- Matt A. Field
- Centre for Tropical Bioinformatics and Molecular Biology, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4878, Australia
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Sonu Yadav
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Olga Dudchenko
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
| | - Meera Esvaran
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA
| | - Ksenia Skvortsova
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Richard J. Edwards
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Jens Keilwagen
- Julius Kühn-Institut, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Blake J. Cochran
- School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Bikash Manandhar
- School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Sonia Bustamante
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jacob Agerbo Rasmussen
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- Center for Evolutionary Hologenomics, Faculty of Health and Medical Sciences, The GLOBE Institute University of Copenhagen, Copenhagen, Denmark
| | - Richard G. Melvin
- Department of Biomedical Sciences, University of Minnesota Medical School, 1035 University Drive, Duluth, MN 55812, USA
| | - Barry Chernoff
- College of the Environment, Departments of Biology, and Earth and Environmental Sciences, Wesleyan University, Middletown, CT 06459, USA
| | - Arina Omer
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zane Colaric
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eva K. F. Chan
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
- Statewide Genomics, New South Wales Health Pathology, 45 Watt St, Newcastle, NSW 2300, Australia
| | - Andre E. Minoche
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Timothy P. L. Smith
- U.S. Meat Animal Research Center, Agricultural Research Service, USDA, Rd 313, Clay Center, NE 68933, USA
| | - M. Thomas P. Gilbert
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Ozren Bogdanovic
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Robert A. Zammit
- Vineyard Veterinary Hospital, 703 Windsor Rd, Vineyard, NSW 2765, Australia
| | - Torsten Thomas
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Erez L. Aiden
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Pudong 201210, China
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - J. William O. Ballard
- Department of Environment and Genetics, SABE, La Trobe University, Melbourne, VIC 3086, Australia
- School of Biosciences, University of Melbourne, Royal Parade, Parkville, VIC 3052, Australia
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11
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Halo JV, Kidd JM. Canis familiaris (Great Dane domestic dog). Trends Genet 2022; 38:514-515. [PMID: 35232612 DOI: 10.1016/j.tig.2022.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Julia V Halo
- Department of Biological Sciences, Bowling Green State University, Bowling Green, OH 43403, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
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12
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Edwards RJ, Field MA, Ferguson JM, Dudchenko O, Keilwagen J, Rosen BD, Johnson GS, Rice ES, Hillier LD, Hammond JM, Towarnicki SG, Omer A, Khan R, Skvortsova K, Bogdanovic O, Zammit RA, Aiden EL, Warren WC, Ballard JWO. Chromosome-length genome assembly and structural variations of the primal Basenji dog (Canis lupus familiaris) genome. BMC Genomics 2021; 22:188. [PMID: 33726677 PMCID: PMC7962210 DOI: 10.1186/s12864-021-07493-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/28/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Basenjis are considered an ancient dog breed of central African origins that still live and hunt with tribesmen in the African Congo. Nicknamed the barkless dog, Basenjis possess unique phylogeny, geographical origins and traits, making their genome structure of great interest. The increasing number of available canid reference genomes allows us to examine the impact the choice of reference genome makes with regard to reference genome quality and breed relatedness. RESULTS Here, we report two high quality de novo Basenji genome assemblies: a female, China (CanFam_Bas), and a male, Wags. We conduct pairwise comparisons and report structural variations between assembled genomes of three dog breeds: Basenji (CanFam_Bas), Boxer (CanFam3.1) and German Shepherd Dog (GSD) (CanFam_GSD). CanFam_Bas is superior to CanFam3.1 in terms of genome contiguity and comparable overall to the high quality CanFam_GSD assembly. By aligning short read data from 58 representative dog breeds to three reference genomes, we demonstrate how the choice of reference genome significantly impacts both read mapping and variant detection. CONCLUSIONS The growing number of high-quality canid reference genomes means the choice of reference genome is an increasingly critical decision in subsequent canid variant analyses. The basal position of the Basenji makes it suitable for variant analysis for targeted applications of specific dog breeds. However, we believe more comprehensive analyses across the entire family of canids is more suited to a pangenome approach. Collectively this work highlights the importance the choice of reference genome makes in all variation studies.
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Affiliation(s)
- Richard J. Edwards
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Matt A. Field
- Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, QLD 4878 Australia
- John Curtin School of Medical Research, Australian National University, Canberra, ACT 2600 Australia
| | - James M. Ferguson
- Kinghorn Center for Clinical Genomics, Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010 Australia
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Department of Computer Science, Rice University, Houston, TX USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX USA
| | - Jens Keilwagen
- Julius Kühn-Institut, Erwin-Baur-Str, 27 06484 Quedlinburg, Germany
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705 USA
| | - Gary S. Johnson
- Department of Veterinary Pathobiology, University of Missouri, Columbia, MO 65211 USA
| | - Edward S. Rice
- Department of Surgery, University of Missouri, Columbia, MO 65211 USA
| | | | - Jillian M. Hammond
- Kinghorn Center for Clinical Genomics, Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010 Australia
| | - Samuel G. Towarnicki
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Arina Omer
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Department of Computer Science, Rice University, Houston, TX USA
| | - Ruqayya Khan
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Department of Computer Science, Rice University, Houston, TX USA
| | - Ksenia Skvortsova
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010 Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2010 Australia
| | - Ozren Bogdanovic
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052 Australia
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010 Australia
| | - Robert A. Zammit
- Vineyard Veterinary Hospital, 703 Windsor Rd, Vineyard, NSW 2765 Australia
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX USA
- Department of Computer Science, Rice University, Houston, TX USA
- Center for Theoretical and Biological Physics, Rice University, Houston, TX USA
- Faculty of Science, UWA School of Agriculture and Environment, University of Western Australia, Perth, WA 6009 Australia
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China
| | - Wesley C. Warren
- Department of Animal Sciences, University of Missouri, Columbia, MO 65211 Australia
| | - J. William O. Ballard
- Department of Ecology, Environment and Evolution, La Trobe University, Melbourne, Victoria 3086 Australia
- School of Biosciences, University of Melbourne, Parkville, Victoria 3052 Australia
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