High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects

Abstract

Detailed descriptions of microbial communities have lagged far behind physical and chemical measurements in the marine environment. Here, we present 720 globally distributed surface ocean metagenomes collected at high spatio-temporal resolution. Our low-cost metagenomic sequencing protocol produced 2.75 terabases of data, where the median number of base pairs per sample was 3.48 billion. The median distance between sampling stations was 26 km. The metagenomic libraries described here were collected as a part of a biological initiative for the Global Ocean Ship-based Hydrographic Investigations Program, or “Bio-GO-SHIP.” One of the primary aims of GO-SHIP is to produce high spatial and vertical resolution measurements of key state variables to directly quantify climate change impacts on ocean environments. By similarly collecting marine metagenomes at high spatiotemporal resolution, we expect that this dataset will help answer questions about the link between microbial communities and biogeochemical fluxes in a changing ocean.

EukProt: A database of genome-scale predicted proteins across the diversity of eukaryotes

“…These well-sequenced lineages are Chloroplastida (containing the land plants and green algae), Metazoa (animals), Amoebozoa, Fungi, and some parasites/pathogens (members of Apicomplexa, Peronosporomycetes, Metakinetoplastina and Fornicata). Within animals, we also emphasized the inclusion of marine planktonic species, as we anticipate these could serve as mapping targets for data from large-scale metagenomic and metatranscriptomic ocean sequencing projects (e.g., Tara Oceans [Karsenti et al, 2011; Carradec et al, 2018; Richter et al, 2019], Malaspinas [Duarte, 2015; Acinas et al, 2021], Bio-GO-SHIP [Larkin et al, 2021] and GEOTRACES [Biller et al, 2018]). Convenience of access: the full data set and its associated metadata can easily be downloaded from FigShare. For 624 of the total 993 species in the database, publicly available protein sequences were ready to be included directly.…”

Global patterns and drivers of C:N:P in marine ecosystems

“…In this study, we use paired observations of particulate organic phosphorus (POP), nitrogen (PON), and carbon (POC) samples from 1370 stations collected between 2011 and 2020 as a part of a novel biological initiative for the Global Ocean Ship Based Hydrographic Investigations Program (Bio-GO-SHIP) 28,29 . Samples used in this study are from cruises I09N, C13.5, P18, AMT-28, NH1418, BVAL46, and AE1319 (Supplementary Table 1).…”

“…Here, we quantify the global variation and identify key environmental drivers for surface ocean CNP based on large-scale systematic measurements of POM. We collected and analyzed new POM samples across all major ocean basins as part of the biological initiative for the Global Ocean Ship-based Hydrographic Investigations Program or Bio-GO-SHIP 28,29 (Fig. 1).…”

“…These spatial and temporal sampling efforts are critical for narrowing down the degree of uncertainty in model projections of CNP. Strong latitudinal patterns in the elemental ratios of marine plankton POM, hydrography, and metagenomes from Bio-GO-SHIP cruises used in this study are publicly available28 . Nutrient stress data of phytoplankton can be accessed from the original publication cited in the main text31 .…”

Modeling Ocean Color Niche Selection by Synechococcus Blue‐Green Acclimaters

“…Available cruise data from campaigns in the Atlantic, Pacific, and Indian Oceans from 2009 to 2018 were collated and used in this study. This included 11 cruise transects–Bio‐GO‐SHIP AE1319, NH1418, BV46, AMT28, IO9, IO7, P18 (Larkin et al., 2021), GEOTRACES GA02, GA03, GA10 & GP13 (Biller et al., 2018; Schlitzer et al., 2018), and 153 stations from TARA Oceans (Picheral et al., 2014; Sunagawa et al., 2015). Correlation analyses were performed on the proportion of generalists in the Synechococcus PT3 population.…”