Transcriptome sequencing of seven deep marine invertebrates

Area of Science:

• Marine Biology
• Genomics
• Deep-Sea Ecology

Background:

• Deep-sea ecosystems remain largely unexplored due to logistical challenges.
• Understanding the biodiversity and genetic makeup of deep-sea fauna is crucial for conservation and scientific advancement.

Purpose of the Study:

• To present comprehensive genomic and visual data for seven species of deep-sea invertebrates.
• To provide a foundational dataset for future research on deep-sea species identification, description, and gene expression.

Main Methods:

• Collection of specimens during a research expedition in the Eastern Pacific Ocean.
• Sequencing of whole transcriptomes using long-read RNA sequencing technology.
• Acquisition of 4K video, quantitative image data, and 3D modeling for select specimens.

Main Results:

• Generated 4K video and whole transcriptome data for seven deep-sea invertebrates: jellyfish, siphonophores, larvacean, tunicate, and ctenophore.
• Developed reference assemblies for four species using long-read sequencing.
• Acquired paired transcriptomic and image data for in situ gene expression analysis in a larvacean.

Conclusions:

• The presented dataset offers valuable genetic and visual resources for deep-sea research.
• This data will facilitate species identification, description, and comparative transcriptomics.
• The study highlights the potential of advanced sequencing and imaging technologies in deep-sea exploration.