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A draft genome sequence of the elusive giant squid, Architeuthis dux. | LitMetric

AI Article Synopsis

  • The giant squid (Architeuthis dux) is a large, mysterious mollusc found in deep oceans worldwide, making it hard to study due to its elusive nature.
  • Researchers have created a draft genome assembly using extensive sequencing techniques, resulting in a genome size of approximately 2.7 Gb and identifying over 33,000 protein-coding genes.
  • This genome draft will help scientists explore the unique characteristics of the giant squid, such as its size and adaptations to deep-sea living.

Article Abstract

Background: The giant squid (Architeuthis dux; Steenstrup, 1857) is an enigmatic giant mollusc with a circumglobal distribution in the deep ocean, except in the high Arctic and Antarctic waters. The elusiveness of the species makes it difficult to study. Thus, having a genome assembled for this deep-sea-dwelling species will allow several pending evolutionary questions to be unlocked.

Findings: We present a draft genome assembly that includes 200 Gb of Illumina reads, 4 Gb of Moleculo synthetic long reads, and 108 Gb of Chicago libraries, with a final size matching the estimated genome size of 2.7 Gb, and a scaffold N50 of 4.8 Mb. We also present an alternative assembly including 27 Gb raw reads generated using the Pacific Biosciences platform. In addition, we sequenced the proteome of the same individual and RNA from 3 different tissue types from 3 other species of squid (Onychoteuthis banksii, Dosidicus gigas, and Sthenoteuthis oualaniensis) to assist genome annotation. We annotated 33,406 protein-coding genes supported by evidence, and the genome completeness estimated by BUSCO reached 92%. Repetitive regions cover 49.17% of the genome.

Conclusions: This annotated draft genome of A. dux provides a critical resource to investigate the unique traits of this species, including its gigantism and key adaptations to deep-sea environments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962438PMC
http://dx.doi.org/10.1093/gigascience/giz152DOI Listing

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