High-coverage sequencing and annotated assembly of the genome of the Australian dragon lizard Pogona vitticeps

Arthur Georges*, Qiye Li, Jinmin Lian, Denis O'Meally, Janine Deakin, Zongji Wang, Pei Zhang, Matthew Fujita, Hardip R. Patel, Clare E. Holleley, Yang Zhou, Xiuwen Zhang, Kazumi Matsubara, Paul Waters, Jennifer A.Marshall Graves, Stephen D. Sarre, Guojie Zhang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    77 Citations (Scopus)

    Abstract

    Background: The lizards of the family Agamidae are one of the most prominent elements of the Australian reptile fauna. Here, we present a genomic resource built on the basis of a wild-caught male ZZ central bearded dragon Pogona vitticeps. Findings: The genomic sequence for P. vitticeps, generated on the Illumina HiSeq 2000 platform, comprised 317 Gbp (179X raw read depth) from 13 insert libraries ranging from 250 bp to 40 kbp. After filtering for low-quality and duplicated reads, 146 Gbp of data (83X) was available for assembly. Exceptionally high levels of heterozygosity (0.85 % of single nucleotide polymorphisms plus sequence insertions or deletions) complicated assembly; nevertheless, 96.4 % of reads mapped back to the assembled scaffolds, indicating that the assembly included most of the sequenced genome. Length of the assembly was 1.8 Gbp in 545,310 scaffolds (69,852 longer than 300 bp), the longest being 14.68 Mbp. N50 was 2.29 Mbp. Genes were annotated on the basis of de novo prediction, similarity to the green anole Anolis carolinensis, Gallus gallus and Homo sapiens proteins, and P. vitticeps transcriptome sequence assemblies, to yield 19,406 protein-coding genes in the assembly, 63 % of which had intact open reading frames. Our assembly captured 99 % (246 of 248) of core CEGMA genes, with 93 % (231) being complete. Conclusions: The quality of the P. vitticeps assembly is comparable or superior to that of other published squamate genomes, and the annotated P. vitticeps genome can be accessed through a genome browser available at https://genomics.canberra.edu.au.

    Original languageEnglish
    Article number45
    JournalGigaScience
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 2015

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