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Abstract
Sequencing, assembly, and annotation of the 26.5 Gbp hexaploid genome of coast redwood (Sequoia sempervirens) was completed leading toward discovery of genes related to climate adaptation and investigation of the origin of the hexaploid genome. Deep-coverage short-read Illumina sequencing data from haploid tissue from a single seed were combined with long-read Oxford Nanopore Technologies sequencing data from diploid needle tissue to create an initial assembly, which was then scaffolded using proximity ligation data to produce a highly contiguous final assembly, SESE 2.1, with a scaffold N50 size of 44.9 Mbp. The assembly included several scaffolds that span entire chromosome arms, confirmed by the presence of telomere and centromere sequences on the ends of the scaffolds. The structural annotation produced 118,906 genes with 113 containing introns that exceed 500 Kbp in length and one reaching 2 Mb. Nearly 19 Gbp of the genome represented repetitive content with the vast majority characterized as long terminal repeats, with a 2.9:1 ratio of Copia to Gypsy elements that may aid in gene expression control. Comparison of coast redwood to other conifers revealed species-specific expansions for a plethora of abiotic and biotic stress response genes, including those involved in fungal disease resistance, detoxification, and physical injury/structural remodeling and others supporting flavonoid biosynthesis. Analysis of multiple genes that exist in triplicate in coast redwood but only once in its diploid relative, giant sequoia, supports a previous hypothesis that the hexaploidy is the result of autopolyploidy rather than any hybridizations with separate but closely related conifer species.
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Details
1 Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
2 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA
3 Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA; Department of Computer Science & Engineering, University of Connecticut, Storrs, CT 06269, USA
4 Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA
5 Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD 21205, USA
6 School of Forestry, Northern Arizona University, Flagstaff, AZ 86011, USA
7 Save the Redwoods League, San Francisco, CA 94104, USA
8 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA; Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD 21205, USA
9 Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA; Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
10 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA