Deeply-sequenced metagenomes and over 1000 draft genomes from the epipelagic to bathypelagic Northeast Pacific Ocean

Authors

Jaffe, A. L., Salcedo, R. S. R., Lewitton, J. J., Dekas, A. E.

Abstract

The deep ocean water column (>200 meters depth) hosts diverse and active microbial communities that play critical roles in Earth's biogeochemical cycles. However, this habitat has been massively undersampled compared to shallower depths where sunlight penetrates, as well as benthic features like hydrothermal vents and seeps. In particular, few existing deep-sea datasets provide adequate spatial resolution to study the impact of physical and geochemical gradients on marine microbial communities over both horizontal and vertical spatial scales. Here, we present a deeply-sequenced, spatially-resolved set of 28 water column metagenomes from a ~300 km horizontal transect off the coast of central California, spanning 50 to 4000 meters depth. We estimate that the deepest portion of the resulting ~1.5 terabases of sequencing data comprises nearly 9% of all shotgun metagenomic sequencing currently available from 1000 meters depth or below. Additionally, we generate over one thousand draft genomes describing the bacteria and archaea present in our bulk metagenomic data. These genomes frequently account for the majority of reads sequenced, and show discernable patterns of abundance with depth, underscoring the presence of distinct microbial cohorts inhabiting different ocean compartments. Additionally, the depth of sequencing performed (mean of ~51.9 gigabases per sample) enables resolution of rare community members that are, on average, more phylogenetically novel than their abundant counterparts, forming an important contribution to genomic catalogues for this habitat. We anticipate that the combined datasets will enable diverse research questions concerning the adaptation, functional potential, and distribution of deep sea microbes as well as their genes and proteins.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 21 Jul 2026.

Stats

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.