Edward F. DeLong’s research while affiliated with Honolulu University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (406)


Mesoscale eddies shape Prochlorococcus community structure and dynamics in the oligotrophic open ocean
  • Article

May 2025

·

6 Reads

The ISME Journal

·

Kirsten E Poff

·

John M Eppley

·

[...]

·

Edward F DeLong

Mesoscale eddies, horizontally rotating currents sometimes referred to as “ocean weather,” influence open ocean macronutrient distributions, primary production, and microbial community structure. Such eddies impact ecosystems like the North Pacific Subtropical Gyre, where year-round thermal stratification limits the mixing of subsurface macronutrients with surface waters. Populations of the dominant primary producer Prochlorococcusin the North Pacific Subtropical Gyre consist of genetic variants with differential adaptive traits to light intensity, temperature, and macronutrient availability. How Prochlorococcuspopulation variants respond to transient, localized environmental changes, however, remains an open question. Leveraging microbial community phylogenetic, metagenomic, and metatranscriptomic data, we report here a consistent, specific enrichment of Prochlorococcushigh-light I ecotypes around the deep chlorophyll maximum in cyclonic eddies, but not adjacent anticyclonic eddies. The shallower deep chlorophyll maximum depths of cyclones had lower temperatures, higher light intensities, and elevated nutrient concentrations compared to adjacent anticyclones, which favored Prochlorococcushigh-light I ecotype proliferation. Prochlorococcushigh-light I ecotypes in the cyclone deep chlorophyll maximum exhibited unique genetic traits related to nitrogen metabolism and were enriched in gene transcripts associated with energy production, cell replication, and proliferation. Prochlorococcusgene transcripts involved in amino acid transport, metabolism, and biosynthesis were also elevated in the cyclone. These results suggest the potential importance of nitrogen metabolism in Prochlorococcushigh-light I ecotype proliferation in cyclonic eddies. Our findings demonstrate how mesoscale eddies shape microbial community structure in the oligotrophic ocean and how Prochlorococcuscommunities respond to short-term localized environmental variability.


Composition of DNA within subfractions of marine particles
a Schematic overview of sample collection and particle fractionation methodology. b Size distribution of DNA fragments contained within either the EV-enriched (blue) or VLP-enriched (red) fractions, as determined by nanopore sequence length. c Relative abundance of cellular, viral, and unclassified reads in the EV-enriched and VLP-enriched particle fractions. Colors indicate sequence type. d Relative abundance of sequences taxonomically classifiable to the family level in the EV-enriched and VLP-enriched particle fractions, as compared with the cellular community from the same water sample. Colors indicate phylum; selected families are labeled. Source data are provided as a Source Data file.
Differences in the protein-coding gene content encoded within EVs and VLPs
a Distribution of unique protein-coding genes between the EV-enriched vs VLP-enriched fraction samples. Predicted protein sequences were clustered at either the level of individual proteins (90% identity) or protein families (20% identity). Colors indicate particle fraction, and singleton protein sequence clusters (i.e., clusters with only one member) are noted. b Relative abundance of reads containing putative phage structural genes in the particle fractions. Colors indicate category definitions from the PhROGs database. c Relative abundance of KEGG-annotatable proteins in both particle fractions, grouped by KEGG BRITE C category. Positive values are more abundant in the EV-enriched fraction; negative values are more abundant in the VLP-enriched fraction. Values indicate the mean ±SD of 10 random resamplings to compare equivalent numbers of proteins from both fraction datasets (all error bars are within the points); colors indicate the average relative abundance of proteins in each category. BRITE categories with fewer than 100 total identified proteins are not shown. Source data are provided as a Source Data file.
High frequencies of mobile elements in marine particles
a Variability in particle-associated DNA read recruitment, as measured by Pielou’s evenness index, across individual reference genomes (larger values = more even recruitment). Recruitment evenness was determined using the combined EV-enriched and VLP-enriched fraction data, and the ten most well-represented phyla are shown. Boxplot values: center line, median; box limits, first and third quartiles; whiskers, 1.5× interquartile range. Colors reflect the ratio of maximum to minimum coverage observed for each individual reference. b DNA read recruitment levels across individual reference genomes. Points indicate coverage of individual 25 kb genome regions, separated by whether aligning reads contained mobile genetic element (MGE) hallmark genes (***: two-sided Wilcoxon test, p < 2.2e−16). c Taxonomic origin of putative mobile elements carried in particle fractions; colors indicate phylum-level annotation. d Gene-sharing network of mobile genetic element hallmark genes found within the same particle-associated DNA fragments. Lines indicate boundaries of inferred mobile element clusters; colors indicate the predicted functional category of MGE hallmark genes. Source data are provided as a Source Data file.
Pelagibacter-associated genetic information mobilized within marine particles
a Distribution of particle-associated read coverage among 25 kb regions of Pelagibacter reference genomes. b–f Selected examples of Pelagibacter mobile regions. The top line of each plot represents a Pelagibacter reference assembly; lines below show particle-associated reads with significant similarity to the reference genome. Gray shading indicates regions of adjacent genome plots with high nucleotide-level similarity; gene colors indicate functional categories of mobile element-associated proteins as indicated at bottom. Conserved unknown, unannotated gene found in >1 sequence; YR tyrosine recombinase, pri primase primase/polymerase or primase/helicase, pol polymerase.
Identification of previously uncharacterized mobile elements within marine particles
a Example of a novel tyrosine integrase-associated element within marine Flavobacteriales. The top two lines represent reference genomes; lines below show particle-associated reads with significant similarity to these regions. Gray shading indicates regions of adjacent genome plots with high nucleotide-level similarity; gene colors indicate functional categories of mobile element-associated proteins. b Maximum likelihood phylogeny of the novel tyrosine recombinase sequences in context with previously defined families24,44,59. c Example of a novel tyrosine integrase-associated element within SAR324 genomes, plotted as in part a. Conserved unknown, unannotated gene found in >1 sequence; YR tyrosine recombinase, pri primase, primase/polymerase, or primase/helicase.
Distinct horizontal gene transfer potential of extracellular vesicles versus viral-like particles in marine habitats
  • Article
  • Full-text available

March 2025

·

56 Reads

·

1 Citation

Horizontal gene transfer (HGT) is enabled in part through the movement of DNA within two broad groups of small (<0.2 µm), diffusible nanoparticles: extracellular vesicles (EVs) and virus-like particles (VLPs; including viruses, gene transfer agents, and phage satellites). The information enclosed within these structures represents a substantial portion of the HGT potential available in planktonic ecosystems, but whether some genes might be preferentially transported through one type of nanoparticle versus another is unknown. Here we use long-read sequencing to compare the genetic content of EVs and VLPs from the oligotrophic North Pacific. Fractionated EV-enriched and VLP-enriched subpopulations contain diverse DNA from the surrounding microbial community, but differ in their capacity and encoded functions. The sequences carried by both particle types are enriched in mobile genetic elements (MGEs) as compared with other cellular chromosomal regions, and we highlight how this property enables novel MGE discovery. Examining the Pelagibacter mobilome reveals >7200 distinct chromosomal fragments and MGEs, many differentially partitioned between EVs and VLPs. Together these results suggest that distinctions in nanoparticle contents contribute to the mode and trajectory of microbial HGT networks and evolutionary dynamics in natural habitats.

Download

Eddy dipole differentially influences particle‐associated and water column protistan community composition

January 2025

·

61 Reads

Ocean eddies are mesoscale features that can extend > 100 km and maintain cohesiveness for months, impacting planktonic community structure and water column biogeochemical cycles. Standing stocks of protists in the water column and on sinking particles were investigated using microscopy, in situ imagery, and metabarcoding across an anticyclonic to cyclonic eddy dipole in the North Pacific Subtropical Gyre during July 2017. The water column was sampled from the surface to 500 m and particle interceptor traps were deployed at 150 m. Protistan assemblage composition varied substantially between sample type and analytical approach across the eddy dipole. Alveolates represented 63% of sequences from water samples. In contrast to water samples, rhizarian protists represented 79% of trap sequences obtained by metabarcoding of sediment trap material. Microscopy of trap material supported the important contribution of Rhizaria to sinking particles and revealed increased relative abundances of ciliates in the anticyclonic eddy and diatoms in the cyclonic eddy. In situ imagery confirmed the presence of relatively large Rhizaria that were not adequately assessed from water samples but contributed significantly to particle flux. Together, these data demonstrate differing perspectives of planktonic protistan community composition and contributions to sinking particles gained from the application of different sampling and analytic approaches. Our observations and analyses indicate a specific subset of the protistan community contributed disproportionately to organic matter downward export.



(a) Map of the study region including the location of Station ALOHA (red dot). (b) Dissolved iron uptake rates (pmol L⁻¹ d⁻¹) in the surface (15 m) and mesopelagic (300 m) at Station ALOHA after addition of 1 nmol L⁻¹ iron as inorganic iron (FeCl3) and iron bound to the siderophores amphibactin (Amp), ferrioxamine E (DFE), and ferrioxamine B (DFB). Dark and light measurements are displayed for both the 0.2–2.0 and > 2.0 μm size fraction. Total rates in the bottom panels represent the sum of both size fractions for each treatment. Mean values from all measurements for a given treatment are displayed and error bars represent the standard error of the mean. (c) Turnover time (days) of iron in each treatment at 15 and 300 m based on rates of total iron uptake in the dark. Box plots display the interquartile range with median values plotted as a solid horizontal line. The y‐axis is on a log10 scale. Turnover times at 300 m were statistically different from 15 m only in the DFB treatment (pairwise t‐test, p < 0.05).
Depth profiles of (a) chlorophyll a (Chl a) concentrations (μg L⁻¹), (b) nitrate + nitrite (NO3⁻ + NO2⁻) concentrations (nmol L⁻¹), (c) dissolved iron (dFe) concentrations (nmol L⁻¹), and (d) rates of primary production (mg C m⁻³ d⁻¹) during the 2013–2016 study period at Station ALOHA. Depth profiles in a–c display the mean concentrations at each depth for a given season and error bars represent the standard deviation from the mean. Depth profiles in c display the mean dissolved Fe concentrations at each depth across the entire study period for available in situ measurements (open squares) and model output from the MIT Darwin model (closed squares) and error bars represent the standard deviation from the mean.
Monthly and seasonal mean values of (a) depth‐integrated rates of primary production (mg C m⁻² d⁻¹) from 0 to 150 m, (b) particulate carbon flux (mg C m⁻² d⁻¹) at 150 m, (c) the e‐ratio defined as the proportion of particulate carbon flux at 150 m compared to the 0–150 m depth‐integrated rate of primary production, and (d) the C : N ratio of sinking particulate matter collected at 150 m at Station ALOHA during the 2013–2016 study period. Error bars represent the standard deviation from the mean.
Seasonality in dissolved siderophore concentrations (pmol L⁻¹) at Station ALOHA between 2013 and 2016. Bars display the mean values of measurements collected within the same depth range for a given season and error bars, when present, represent the standard error of the mean. Asterisks indicate when no data are present for a given depth range and season. Depth ranges are as follows: upper euphotic 0–75 m, lower euphotic > 75 and ≤ 150 m, upper mesopelagic > 150 and ≤ 300 m, mid‐mesopelagic > 300 and ≤ 500 m.
Seasonal abundance of genes from siderophore biosynthetic gene clusters detected at Station ALOHA between May 2015–April 2016 plotted as reads per kilobase per million (RPKM). (a) Box plots display the interquartile range of gene abundances detected within a given depth range and season. Median values are plotted as solid vertical lines, and outliers are plotted as distinct points. Depth ranges are as follows: upper euphotic 0–75 m, lower euphotic > 75 to 150 m, upper mesopelagic > 150 to 300 m, mid‐mesopelagic > 300 to 500 m. (b) Box plots display the interquartile range of gene abundances detected within a given month or season in the euphotic (0–150 m) and mesopelagic (150–500 m) zones. Median values are displayed as solid horizontal lines and outliers are plotted as distinct points. No data are available for September.
Patterns of siderophore production and utilization at Station ALOHA from the surface to mesopelagic waters

December 2024

·

74 Reads

The North Pacific subtropical gyre is a globally important contributor to carbon uptake despite being a persistently oligotrophic ecosystem. Supply of the micronutrient iron to the upper ocean varies seasonally to episodically, and when coupled with rapid biological consumption, results in low iron concentrations. In this study, we examined changes in iron uptake rates, along with siderophore concentrations and biosynthesis potential at Station ALOHA across time (2013–2016) and depth (surface to 500 m) to observe changes in iron acquisition and internal cycling by the microbial community. The genetic potential for siderophore biosynthesis was widespread throughout the upper water column, and biosynthetic gene clusters peaked in spring and summer along with siderophore concentrations, suggesting changes in nutrient delivery, primary production, and carbon export seasonally impact iron acquisition. Dissolved iron turnover times, calculated from iron‐amended experiments in surface (15 m) and mesopelagic (300 m) waters, ranged from 9 to 252 d. The shortest average turnover times at both depths were associated with inorganic iron additions (14 ± 9 d) and the longest with iron bound to strong siderophores (148 ± 225 d). Uptake rates of siderophore‐bound iron were faster in mesopelagic waters than in the surface, leading to high Fe : C uptake ratios of heterotrophic bacteria in the upper mesopelagic. The rapid cycling and high demand for iron at 300 m suggest differences in microbial metabolism and iron acquisition in the mesopelagic compared to surface waters. Together, changes in siderophore production and consumption over the seasonal cycle suggest organic carbon availability impacts iron cycling at Station ALOHA.


Figure 2
Figure 3
Figure 4
Figures
Distinct horizontal gene transfer potential of extracellular vesicles versus viral-like particles in marine habitats

June 2024

·

72 Reads

Horizontal gene transfer (HGT) is enabled in part through the movement of DNA within two broad groups of small (<0.2 µm), diffusible nanoparticles: extracellular vesicles (EVs) and virus-like particles (VLPs; including viruses, gene transfer agents, and phage satellites). These structures enclose a substantial portion of the HGT potential in planktonic ecosystems, but whether genes move preferentially through one type of nanoparticle versus another is unknown. Here we show that EVs and VLPs from the oligotrophic ocean differ in their DNA capacity and encoded functions. Both particle types are enriched in mobile genetic elements (MGEs), and we highlight how this property enables novel MGE discovery. Examining the Pelagibacter mobilome reveals >7200 diverse chromosomal fragments and MGEs, many differentially partitioned between EVs and VLPs. Together these results suggest that distinctions in nanoparticle contents contribute to the mode and trajectory of microbial HGT networks and evolutionary dynamics in natural habitats.


Depth and temporal profiling of SASVs expressed as a function of their relative abundances at different depths in the water column
a Depth and temporal profiles of 4000 m trap SASV relative abundances in the water column during the entire 4000 m trap deployment time period. (see Methods for details). b Depth profiles of PARAGON 500 m trap SASV relative abundances in the water column using three biological replicates, a–c. c Depth profiles of PARAGON 500 m trap SASV average relative abundances in the upper water column (≤300 m). The dashed red curve represents the best fit to the time-averaged data, and was calculated as: SZ = S75 (Z/75)b, where R² = 0.96, S75 = 82.9 (%), b = −1.34 (excluding light red symbols (<75 m)). The horizontal red bars represent the standard deviations (n = 3, Supplementary Data 1), and since they are smaller than the data point symbols in c, are not visible. d Depth profiles of 4000 m trap SASV average relative abundances in the upper water column (<250 m). The dashed blue curve represents the best fit to the time-averaged relative abundances, calculated as: SZ = S75 (Z/75)b, where R² = 0.90, S75 = 53.11(%), b = −0.75 (excluding light blue symbols (<75 m)). The horizontal blue bars represent the standard deviations (n = 58, Supplementary Data 1). e Depth profile of 4000 m trap time-averaged SASV relative abundances in the water column. The dashed red and blue curves correspond to those shown in c and d, respectively. The gray symbols represent 4000 m trap SASVs found in deeper waters (≥250 m) and the horizontal gray bars represent the standard deviations (n = 58, Supplementary Data 1).
Schematic representation of power-law curves determined for 4000 m trap (blue curve) and PARAGON 500 m trap (red curve) SASVs in the upper water column
These are compared with previously published normalized attenuation flux data of energy, organic carbon and mass (gray curves), as reported in Grabowski et al.⁵.
Taxonomic profiles of 4000 m trap SASV relative abundances in the water column
a Depth profiles of 4000 m trap SASV taxa at specific water column depths, relative to their time-averaged abundances throughout the water column (see methods). b Community composition of 4000 m trap SASVs in specific depth strata. Actino_1: Actinobacteriota (Candidatus Actinomarina); Actino_2: Actinobacteriota (Sva0996 marine group); Alpha_1: Alphaproteobacteria (AEGEAN-169 marine group); Cyano_1: Cyanobacteria (Unknown Cyanobiaceae); Gamma_1: Gammaproteobacteria (HOC36); Gamma_2: Gammaproteobacteria (SAR86 clade); Gamma_3: Gammaproteobacteria (UBA10353 marine group); Gamma_4: Gammaproteobacteria (Unknown); MGII: Marine Group II Poseidoniia; MGIII: Marine Group III Poseidoniia; MGI_1: Marine Group I Thaumarchaeota (Candidatus Nitrosopelagicus); MGI_2: Marine Group I Thaumarchaeota (Unknown Nitrosopumilaceae); Proch: Prochlorococcus; SAR11_1: SAR11 (Clade Ia); SAR11_2: SAR11 (Clade II); SAR202: Chloroflexi (SAR202 clade); SAR324: SAR324 clade (Marine group B); SAR406: Marinimicrobia (SAR406 clade); Syn: Synechococcus. Depth-specific ecotypes: _S, Surface; _D, DCM; _LEu, Lower Euphotic; _UM, Upper Mesopelagic; _LM, Lower Mesopelagic; _B, Bathypelagic.
Depth and temporal profiles of SASVs found at discrete depths in the water column, expressed as a function of their relative abundances in the 4000 m deep traps
a Previously reported particulate carbon (gray symbols) and particulate nitrogen (brown symbols) fluxes in the 4000 m deep traps¹³. The dashed horizontal gray and brown lines are equal to 150% of the respective annual mean values observed between 1992 and 2004 at Station ALOHA⁷. The green-shaded time-period corresponds to the SEP. b Time-averaged 4000 m trap SASV relative abundances in the trap, mapped to the depths where corresponding identical water column SASVs are found. (see Methods for details). c Data from b, representing the best fit to power-law function of the form SZ = S250 (Z/250)b (R² = 0.93, S250 = 17.76 (%), b = 0.31), excluding light gray symbols at shallower depths (<250 m). SZ is time-averaged relative abundance of 4000 m trap SASVs as a function of their relative abundances in the deep traps at a depth Z(m). S250 is SZ at 250 m, and b is the coefficient of change of deep trap relative abundances of SASVs at specific depths. The horizontal gray bars represent the standard deviations (n = 58, Supplementary Data 4). d Composition of prokaryotic SASVs in the 4000 m deep sediment traps during non-SEP and SEP time periods. Alpha_2: Alphaproteobacteria (Hyphomonas); Alpha_3: Alphaproteobacteria (Unknown Rhodobacteraceae); Bac_1: Bacteroidota (Unknown Saprospiraceae); Cam_1: Campilobacterota (Halarcobacter); Gamma_10: Gammaproteobacteria (Unknown Vibrionaceae); Gamma_4: Gammaproteobacteria (Unknown); Gamma_5: Gammaproteobacteria (Colwellia); Gamma_6: Gammaproteobacteria (Halioglobus); Gamma_7: Gammaproteobacteria (Moritella); Gamma_8: Gammaproteobacteria (Psychrobium); Gamma_9: Gammaproteobacteria (Shewanella); Ver_1: Verrucomicrobiota (Unknown DEV007); Ver_2: Verrucomicrobiota (Unknown Puniceicoccaceae).
Planktonic microbial signatures of sinking particle export in the open ocean’s interior

November 2023

·

267 Reads

·

9 Citations

A considerable amount of particulate carbon produced by oceanic photosynthesis is exported to the deep-sea by the “gravitational pump” (~6.8 to 7.7 Pg C/year), sequestering it from the atmosphere for centuries. How particulate organic carbon (POC) is transformed during export to the deep sea however is not well understood. Here, we report that dominant suspended prokaryotes also found in sinking particles serve as informative tracers of particle export processes. In a three-year time series from oceanographic campaigns in the Pacific Ocean, upper water column relative abundances of suspended prokaryotes entrained in sinking particles decreased exponentially from depths of 75 to 250 m, conforming to known depth-attenuation patterns of carbon, energy, and mass fluxes in the epipelagic zone. Below ~250 m however, the relative abundance of suspended prokaryotes entrained in sinking particles increased with depth. These results indicate that microbial entrainment, colonization, and sinking particle formation are elevated at mesopelagic and bathypelagic depths. Comparison of suspended and sinking particle-associated microbes provides information about the depth-variability of POC export and biotic processes, that is not evident from biogeochemical data alone.


Oxygen minimum zone (OMZ) and anoxic marine zone (AMZ) geochemical profiles and global map of sampling locations. (a) The different geochemical profiles of oxygen-deficient marine waters are schematized (modified from Ulloa et al., 2012)⁴. Solid lines represent observed data, while the dashed line represent a sporadic accumulation event. (b) OMZ and AMZ sampling locations for single-cell amplified genomes (SAGs) are indicated. The total number (white) and sequenced (black) SAGs obtained from each location are denoted with a circle proportional to the corresponding number of samples in the dataset. The Ocean is coloured according to the lowest mean statistical value for the oxygen concentration reported for each 1° and 5° grid in the 2018 annual NOAA World Ocean Atlas¹¹⁹, with white grids indicating locations where oxygen concentration data was unavailable. Sampling sites from oceanic midwaters include the North Pacific Subtropical Gyre (NPSG) and the South Atlantic Subtropical Gyre (SASG). Sample sites from low oxygen OMZs include the Northeastern Subarctic Pacific (NESAP). Sample sites from AMZs include the Eastern Tropical North Pacific Gyre (ETNP) and Eastern Tropical South Pacific Gyre (ETSP). Sites from coastal upwelling systems with ephemerally sulfidic bottoms include the Eastern South Pacific Coastal Upwelling (ESPCU) and Benguela coastal upwelling (Benguela). Sampling sites from sulfidic bottom basins include Saanich Inlet (SI) and the Baltic Sea. Geolocalization coordinates and the number of samples for each location are detailed in Table 1.
Overview of the workflow for processing and generating microbial Single-cell Amplified Genomes (SAGs). A more detailed scheme is presented in the supplementary information (Supplemental Figure S1-S3) (modified from Rinke et al., 2013)⁵⁰.
A SAG-based assessment of microbial composition across OMZs. The dot-plot presents the taxonomic designation and proportion of anonymously sorted SAGs sequenced (colored dot) in each taxa at the phylum level and Proteobacteria at the class level from each location. Underlying grey dots represent SAGs collected and taxonomically screened, but not currently sequenced. Taxonomy was determined by SSU rRNA gene amplicon sequences as defined by SILVA v138.1. Dot colour represents environmental oxygen concentrations at time of sampling. Sampling locations were clustered according to the similarity of the SAG taxonomic composition collected at each location. Clustering scale represents the Bray-Curtis dissimilarity among the microbial diversity from each location based on SAG sequence information. Annotation bars denote DNA amplification mentod and OMZ type. Location information is colour encoded as shown for DNA amplification method, OMZ or AMZ type, and oxygen concentration at time of sampling. Sampling location names, on the tips of the dendrogram, are denoted as ‘location_depth (m)_collection month and/or year’. Location acronyms correspond to: Saanich Inlet (SI), Northeastern Subarctic Pacific (NESAP), North Pacific Subtropical Gyre (NPSG), Eastern Tropical North Pacific (ETNP), Eastern Tropical South Pacific (ETSP), Eastern South Pacific Coastal Upwelling (ESPCU), Benguela coastal upwelling (Benguela), South Atlantic Subtropical Gyre (SASG), and the Baltic Sea (Baltic).
CheckM completeness and contamination estimates of sequenced SAGs for all sequenced SAGs with the point size representing the assembly length in Megabase Pairs (MBP). Of these, the solid line represents the estimated completeness and contamination threshold for medium quality SAGs (> = 50% Completeness, <10% Contamination) and the dashed line represents the threshold for high quality SAGs (>90% Completeness, <5% Contamination)⁴⁵. Plots are coloured based on (a) region, (b) OMZ ecotype, (c) depth, (d) environmental oxygen concentration level, (e) DNA amplification method, and (f) taxonomic group (class level for Proteobacteria, phylum level for other taxa) as defined by SILVA v138.1. Note that SAGs >5% estimated contamination have been excluded from this figure.
A compendium of bacterial and archaeal single-cell amplified genomes from oxygen deficient marine waters

May 2023

·

724 Reads

·

4 Citations

Scientific Data

Oxygen-deficient marine waters referred to as oxygen minimum zones (OMZs) or anoxic marine zones (AMZs) are common oceanographic features. They host both cosmopolitan and endemic microorganisms adapted to low oxygen conditions. Microbial metabolic interactions within OMZs and AMZs drive coupled biogeochemical cycles resulting in nitrogen loss and climate active trace gas production and consumption. Global warming is causing oxygen-deficient waters to expand and intensify. Therefore, studies focused on microbial communities inhabiting oxygen-deficient regions are necessary to both monitor and model the impacts of climate change on marine ecosystem functions and services. Here we present a compendium of 5,129 single-cell amplified genomes (SAGs) from marine environments encompassing representative OMZ and AMZ geochemical profiles. Of these, 3,570 SAGs have been sequenced to different levels of completion, providing a strain-resolved perspective on the genomic content and potential metabolic interactions within OMZ and AMZ microbiomes. Hierarchical clustering confirmed that samples from similar oxygen concentrations and geographic regions also had analogous taxonomic compositions, providing a coherent framework for comparative community analysis.


Nitrogen Fixation in Mesoscale Eddies of the North Pacific Subtropical Gyre: Patterns and Mechanisms

April 2023

·

357 Reads

·

22 Citations

Mesoscale eddies have been shown to support elevated dinitrogen (N2) fixation rates (NFRs) and abundances of N2‐fixing microorganisms (diazotrophs), but the mechanisms underlying these observations are not well understood. We sampled two pairs of mesoscale cyclones and anticyclones in the North Pacific Subtropical Gyre in 2017 and 2018 and compared our observations with seasonal patterns from the Hawaii Ocean Time‐series (HOT) program. Consistent with previous reports, we found that NFRs were anomalously high for this region (up to 3.7‐fold above previous monthly HOT observations) in the centers of both sampled anticyclones. In 2017, these elevated rates coincided with high concentrations of the diazotroph Crocosphaera. We then coupled our field‐based observations, together with transcriptomic analyses of nutrient stress marker genes and ecological models, to evaluate the role of biological (via estimates of growth and grazing rates) and physical controls on populations of Crocosphaera, Trichodesmium, and diatom symbionts at the mesoscale. Our results suggest that increased Crocosphaera abundances in the 2017 anticyclone resulted from the alleviation of phosphate limitation, allowing cells to grow at rates exceeding grazing losses. In contrast, distributions of larger, buoyant taxa (Trichodesmium and diatom symbionts) appeared less affected by eddy‐driven biological controls. Instead, they appeared driven by physical dynamics along frontal boundaries that separate cyclonic and anticyclonic eddies. No examined controls were able to explain our 2018 findings of higher NFRs in the anticyclone. A generalized explanation of elevated NFRs in mesoscale eddies remains challenging due to the interplay of eddy‐driven bottom‐up, top‐down, and physical control mechanisms.



Citations (49)


... Recent studies have suggested, that relatively unexplored cellular structures, such as membrane vesicles (Mvs) and nanotubes, play a role in HGt (Molina-Santiago and Bernal 2023). Mvs are bilayer structures that transfer biomolecules between bacteria in a protected form, contributing to HGt (Biller et al. 2025). intercellular finite-sized nanotubes composed of bacterial-like membranes can connect adjacent cells, facilitating the exchange of intracellular molecules including metabolites, proteins, mRNA, and plasmid DNA. ...

Reference:

Blocking horizontal transfer of antibiotic resistance genes: an effective strategy in combating antibiotic resistance
Distinct horizontal gene transfer potential of extracellular vesicles versus viral-like particles in marine habitats

... [1][2][3]. However, the fate of these sinking particles is intricately tied to processes of consumption and degradation by zooplankton and bacteria, leading to the conversion of organic carbon into biomass or its remineralization back into carbon dioxide [4][5][6][7] . Consequently, only a fraction of the fixed carbon leaves the euphotic zone, and~1% reaches the sediments for long-term sequestration [8][9][10] . ...

Planktonic microbial signatures of sinking particle export in the open ocean’s interior

... We next combined REO MAGs from the OC1703A set with other genomes extracted from existing marine databases [23,[25][26][27][28], which were similarly searched at scale for the presence of enzymes in the rubisco superfamily (Methods). The combined set of global REO genomes-encompassing MAGs, single-amplified genomes, and isolateswas subjected to quality filtering (≥ 50% completeness and < 10% contamination, corresponding to high-and medium-quality draft genomes in the MIMAG schema) and de-replication, forming 1070 "species group" clusters at 95% average nucleotide identity, including 24 represented by MAGs from the OC1703A set (Additional file 1: Table S3). ...

A compendium of bacterial and archaeal single-cell amplified genomes from oxygen deficient marine waters

Scientific Data

... bigelowii due to the absence of controlled experiments. Additionally, a recent study that predicted growth rates of cyanobacterial diazotrophs in mesoscale eddies based on in situ light, temperature, and nutrient conditions noted that the growth of UCYN-A could not be modeled due to the lack of culture data and growth parameterization (Dugenne et al. 2023). Our results address these gaps by providing specific growth and activity data for B. bigelowii across various temperatures. ...

Nitrogen Fixation in Mesoscale Eddies of the North Pacific Subtropical Gyre: Patterns and Mechanisms

... 25,26 GlX contributed the largest share to carbon and nitrogen turnover within the pool of amino acids (Figure 2e−h). Besides its osmotic properties in the phytoplankton cytosol, 71 GlX also serves as a universal biomolecule channeling the acquisition of inorganic nitrogen. 72,73 As intracellular and extracellular nitrogen stocks are exploited in order to assemble viral progenies, viral lysates contain high amounts of amino acids. ...

Correction for Boysen et al., "Particulate Metabolites and Transcripts Reflect Diel Oscillations of Microbial Activity in the Surface Ocean"

... The pool of genes detected in our study represents a dynamic genetic repository to be considered in the extracellular space in addition to viruses that could be used for horizontal gene transfer upon EV fusion with recipient cells, suggesting a mechanism for microbial diversification in the oceans (Hackl et al. 2023). ...

Novel integrative elements and genomic plasticity in ocean ecosystems
  • Citing Article
  • January 2023

Cell

... Indeed, the density of M. smithii EVs is considerably lower than that of tailed virus particles (1.11-1.13 versus > 1.2 g/mL) 48 , and no virus particles were observed in the EV preparations by TEM. The top six most abundant protein in the EVs is the endonuclease EndoMS/NucS (A5UKH4) (Supplementary Data 3), a multifunctional enzyme involved in DNA repair processes such as nucleotide excision repair, mismatch repair, and deaminated base repair 49,50 . ...

Marine viral particles reveal an expansive repertoire of phage-parasitizing mobile elements

Proceedings of the National Academy of Sciences

... Marine particles can be colonized by microbial communities that use the organic matter for microbial respiration. Metagenomic data from the Hawaii Ocean Time Series indicate that sinking particles are enriched in bacteria that have extracellular peptidases, which degrade proteins, and carbohydrate degrading enzymes as well as large numbers of ABC transporters (Leu et al., 2022). In the absence of oxygen, organic matter can be respired via anaerobic respiration such as denitrification, nitrate reduction or sulfate reduction (Fuchsman et al., 2017;Lam et al., 2009;Raven et al., 2021). ...

Diverse Genomic Traits Differentiate Sinking-Particle-Associated versus Free-Living Microbes throughout the Oligotrophic Open Ocean Water Column

... Our data represent likely the first comprehensive seasonal dataset of EV abundance and exported DNA in the dissolved organic fraction in seawater across an entire year and provide valuable insights into the distribution and seasonal fluctuations of EVs in oligotrophic marine environments, enriching our understanding of their ecological role and seasonal dynamics. It has been demonstrated that over half of the DNA in the open oligotrophic ocean is present outside living organisms (Linney et al. 2022). This extracellular DNA represents a substantial source of nutrients for microbes, not to mention that it is also a large amount of DNA potentially available for recombination and horizontal gene transfer (Lücking et al. 2023). ...

Microbial Sources of Exocellular DNA in the Ocean

... Here, we sought to answer this question using a novel approach leveraging phage metagenomic data to find sequence motifs that can drive phage activity. Metagenomic phage sequences are highly diverse and have been increasingly characterized, as demonstrated by the growing volume of viral metagenomes curated from the gut (4-7), oceans (8)(9)(10)(11), lakes, and soil microbiomes (12)(13)(14)(15). However, the function of many sequences remains largely unknown, and the general lack of sequence conservation among phages makes identifying functionally related metagenomic sequences difficult (9,16). ...

Diversity and origins of bacterial and archaeal viruses on sinking particles reaching the abyssal ocean

The ISME Journal