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Abstract
Recent advances in genomic sequencing technology and computational assembly methods have allowed scientists to improve reference genome assemblies in terms of contiguity and composition. EquCab2, a reference genome for the domestic horse, was released in 2007. Although of equal or better quality compared to other first-generation Sanger assemblies, it had many of the shortcomings common to them. In 2014, the equine genomics research community began a project to improve the reference sequence for the horse, building upon the solid foundation of EquCab2 and incorporating new short-read data, long-read data, and proximity ligation data. Here, we present EquCab3. The count of non-N bases in the incorporated chromosomes is improved from 2.33 Gb in EquCab2 to 2.41 Gb in EquCab3. Contiguity has also been improved nearly 40-fold with a contig N50 of 4.5 Mb and scaffold contiguity enhanced to where all but one of the 32 chromosomes is comprised of a single scaffold.
Theodore Kalbfleisch et al. present an improved genome assembly for the domestic horse by combining short- and long-read data, as well as proximity ligation data. They improve contiguity of the assembly by 40-fold, with a 10-fold reduction in gaps.
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1 University of Louisville, Department of Biochemistry and Molecular Genetics, School of Medicine, Louisville, USA (GRID:grid.266623.5) (ISNI:0000 0001 2113 1622)
2 UC Santa Cruz, Department of Biomolecular Engineering, Santa Cruz, USA (GRID:grid.205975.c) (ISNI:0000 0001 0740 6917)
3 National Institutes of Health, Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165)
4 Katholieke University Leuven (KU Leuven), Center for Human Genetics, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884)
5 UC Santa Cruz, Department of Biomolecular Engineering, Santa Cruz, USA (GRID:grid.205975.c) (ISNI:0000 0001 0740 6917); Oregon Health and Science University, Medical and Molecular Genetics, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690)
6 UC Santa Cruz, Department of Biomolecular Engineering, Santa Cruz, USA (GRID:grid.205975.c) (ISNI:0000 0001 0740 6917); 10x Genomics, Inc., Pleasanton, USA (GRID:grid.498512.3)
7 UC Santa Cruz, Department of Ecology and Evolutionary Biology, Santa Cruz, USA (GRID:grid.205975.c) (ISNI:0000 0001 0740 6917)
8 University of Nebraska – Lincoln, Department of Animal Science, Lincoln, USA (GRID:grid.24434.35) (ISNI:0000 0004 1937 0060)
9 University of California, Department of Population Health and Reproduction, Davis, USA (GRID:grid.27860.3b) (ISNI:0000 0004 1936 9684)
10 University of California, Department of Population Health and Reproduction, Davis, USA (GRID:grid.27860.3b) (ISNI:0000 0004 1936 9684); University of California, Veterinary Genetics Laboratory, Davis, USA (GRID:grid.27860.3b) (ISNI:0000 0004 1936 9684)
11 University of Minnesota, Department of Veterinary Population Medicine, St. Paul, USA (GRID:grid.17635.36) (ISNI:0000000419368657)
12 University of Florida, UF Genetics Institute, Department of Animal Sciences, Gainesville, USA (GRID:grid.15276.37) (ISNI:0000 0004 1936 8091)
13 University of Kentucky, Gluck Equine Research Center, Department of Veterinary Science, Lexington, USA (GRID:grid.266539.d) (ISNI:0000 0004 1936 8438)
14 Natural History Museum of Denmark, Centre for GeoGenetics, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); Université Paul Sabatier, Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse UMR 5288, Université de Toulouse, CNRS, Toulouse, France (GRID:grid.15781.3a) (ISNI:0000 0001 0723 035X)
15 Cornell University, Baker Institute for Animal Health, College of Veterinary Medicine, Ithaca, USA (GRID:grid.5386.8) (ISNI:000000041936877X)