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Abstract

The giant sequoia (Sequoiadendron giganteum) of California are massive, long-lived trees that grow along the U.S. Sierra Nevada mountains. Genomic data are limited in giant sequoia and producing a reference genome sequence has been an important goal to allow marker development for restoration and management. Using deep-coverage Illumina and Oxford Nanopore sequencing, combined with Dovetail chromosome conformation capture libraries, the genome was assembled into eleven chromosome-scale scaffolds containing 8.125 Gbp of sequence. Iso-Seq transcripts, assembled from three distinct tissues, was used as evidence to annotate a total of 41,632 protein-coding genes. The genome was found to contain, distributed unevenly across all 11 chromosomes and in 63 orthogroups, over 900 complete or partial predicted NLR genes, of which 375 are supported by annotation derived from protein evidence and gene modeling. This giant sequoia reference genome sequence represents the first genome sequenced in the Cupressaceae family, and lays a foundation for using genomic tools to aid in giant sequoia conservation and management.

Details

Title
A Reference Genome Sequence for Giant Sequoia
Author
Scott, Alison D 1 ; Zimin, Aleksey V 2 ; Puiu, Daniela 3 ; Workman, Rachael 4 ; Britton, Monica 5 ; Zaman, Sumaira 6 ; Caballero, Madison 7 ; Read, Andrew C 8 ; Bogdanove, Adam J 8 ; Burns, Emily 9 ; Wegrzyn, Jill 10 ; Timp, Winston 4 ; Salzberg, Steven L 11 ; Neale, David B 1 

 Department of Plant Sciences, University of California, Davis, CA 95616 
 Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21211; Institute for Physical Sciences and Technology, University of Maryland, College Park, MD 20742; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218 
 Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21211; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218 
 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218 
 Bioinformatics Core, University of California, Davis, CA 95616 
 Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269 
 Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850 
 Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853 
 Save the Redwoods League, San Francisco, CA 94104 
10  Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269 
11  Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21211; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218; Departments of Computer Science and Biostatistics, Johns Hopkins University, Baltimore, MD 21218 
Pages
3907-3919
Publication year
2020
Publication date
Nov 1, 2020
Publisher
Oxford University Press
e-ISSN
21601836
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3169671657
Copyright
Copyright © 2020 Scott et al..