Edited by: Ana R. Díaz-Marrero, Spanish National Research Council (CSIC), Spain
Reviewed by: Cesar Cardona-Felix, National Polytechnic Institute (IPN), Mexico
Carolina Pérez Reyes, University of La Laguna, Spain
*Correspondence: Linda D. Rhodes,
†Present address: Linda D. Rhodes, Island Research, PO Box 249, Greenbank, WA, United States
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
A survey of marine pelagic coastal microbial communities was conducted over a large geographic latitude range, from Cape Mendocino in northern California USA to Queen Charlotte Sound in British Columbia Canada, during the spring to summer transition. DNA metabarcoding and flow cytometry were used to characterize microbial communities. Physical and chemical oceanography indicated moderate conditions during the survey with no widespread upwelling, marine heat wave, or other extreme conditions. However, four locations displayed features approaching acidified conditions: Heceta Head, Newport, Copalis Beach, and Cape Flattery. Although bacterial and archaeal communities at the Juan de Fuca canyon and northward had high similarity, those south of the Juan de Fuca canyon were well differentiated from each other. In contrast, eukaryotic microbial communities exhibited stronger geographic differentiation than bacterial and archaeal communities across the extent of the survey. Seawater parameters that were best predictors of bacterial and archaeal community structure were temperature, pH, and dissolved inorganic nutrients (nitrate, phosphate, silicate), while those that were best predictors of eukaryotic microbial community structure were salinity, dissolved oxygen, total alkalinity, and dissolved inorganic nutrients (nitrite, silicate). Although five bacterial and archaeal indicators for potentially corrosive waters were identified (
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The eastern North Pacific Ocean has a dynamic marine ecosystem along the west coast of the United States and Canada. The major ocean currents flow parallel to the coastline, with the Alaska Current flowing northward and the California Current flowing southward from southern British Columbia in Canada (
In marine systems, the pelagic food web is heavily dependent upon lower trophic levels for producing fixed carbon and nitrogen and for remineralization of dissolved nutrients (
Examples of several high abundance microbial groups with known metabolic and ecological roles.
Microbial group | Major metabolic activity | Ocean processes | Example references |
---|---|---|---|
Diatoms (Bacillariophyceae) and Dinoflagellates (Dinoflagellata) | Photosynthesis | Nutrient cycling (C, N, P, Si); primary production; new food web biomass; CO2 sequestration | ( |
Cyanobacteria ( |
Photosynthesis | Nutrient cycling (C, N, P); primary production; new food web biomass | ( |
Rhodobacteriaceae ( |
Phytoplankton metabolite assimilation | Nutrient cycling (C, N, P, S); atmospheric element release (N, S) | ( |
Flavobacteriaceae | Phytoplankton metabolite assimilation | Nutrient cycling (C, N, P); high molecular weight compound conversion | ( |
SAR11 clade | Nutrient and metabolite assimilation (e.g., methyl oxidation) | Nutrient cycling (C, N, P, S); atmospheric element release (N, S) | ( |
Nitrosopumilaceae ( |
Ammonia and urea oxidation; low pH tolerance | Nutrient cycling (N; nitrification) | ( |
Thioglobaceae (SUP05 cluster) | Nutrient and metabolite assimilation; low oxygen tolerance | Nutrient cycling (C, N, P, S); atmospheric element release (N, S) | ( |
Radiolaria (Acantharea, Polycystinea, RAD-A, RAD-B, RAD-C) and Phaeodarea | Photosymbiosis; predator of bacteria and smaller protists | Nutrient cycling in oligotrophic areas | ( |
Rhizharia (Thecofilosea, Granofilosea, Imbricatea) | Predator of bacteria | Food web nutrient transfer | ( |
Tintinnid (Spirotrichea) | Predator of phytoplankton | Food web nutrient transfer | ( |
The reliance of marine food webs on lower trophic dynamics is well acknowledged, but direct assessments of microorganisms are not usually conducted in surveys. Instead, easily measured proxies such as chlorophyll α concentrations are typically used to represent a lower trophic tier such as primary producers. However, these proxies provide no information about the underlying microbial structures, which limits both the understanding of biological processes and predicting changes associated with ocean conditions. The advent of metabarcoding technologies and highly curated sequence databases allows taxonomic identifications and descriptions of microbial community structures. When combined with matched physical and chemical seawater parameters, it is feasible to begin building better knowledge of these lower trophic levels.
This study provides a set of observations on microbial communities from a geographically broad survey along the Pacific Northwest nearshore coast, extending from the Queen Charlotte Sound of Canada to Cape Mendocino in northern California of the U.S. It leveraged the accessibility of water samples collected for ocean chemistry assessment conducted by NOAA’s Pacific Marine Environmental Laboratory (PMEL), and co-collection of biological and chemical sampling permitted direct correspondence of results. These community characterizations and evaluations provide a glimpse of the microbial communities that are present in the nearshore coastal areas and can serve as a basis for further comparisons associated with changing ocean conditions.
The West Coast Ocean Acidification (WCOA) cruise is a periodic assessment of ocean chemistry led and conducted by NOAA’s Pacific Marine Environmental Laboratory (PMEL), and information about the 2016 WCOA cruise can be obtained from PMEL’s Carbon Program website
Maps of cruise coverage, stations, and geographic groups sampled for this study. The inset shows the area covered by the cruise in the western part of North America. Closed red circles indicate the locations of sampling stations, while the black ovals associated with place names indicate geographic groups reported in this study. Letters in parentheses denote the group code assigned to each geographic group.
List of geographic groups, group names, individual stations within each group, and maximum depths for each station.
Group | Group name | Stations | Station depths (m) |
---|---|---|---|
A | Cape Mendocino | 58, 59 | 40, 56 |
B | Cape Ferrelo | 73 | 30 |
C | Heceta Head | 74, 75 | 27, 46 |
D | Newport | 85, 86 | 80, 30 |
E | Columbia River estuary | 87, 99 | 14, 14 |
F | Columbia River plume | 89, 90, 91 | 21, 29, 45 |
G | Copalis Beach | 97, 98 | 23, 51 |
H | Destruction Island | 112 | 25 |
I | Cape Johnson | 110, 111 | 99, 34 |
J | Cape Flattery | 108, 109 | 119, 76 |
K | West edge of Juan de Fuca Canyon | 113 | 181 |
L | Barkley Sound | 114, 115 | 41, 97 |
M | West entrance to Queen Charlotte Strait | 132 | 140 |
N | Kildidt Sound | 131 | 137 |
O | Hecate Strait | 129, 130 | 171, 46 |
P | Johnstone Strait | 133, 134, 135 | 111, 235, 269 |
Station depths are in the same order as the listed stations.
Samples for biological analyses (> 2 L) were co-collected with those used for chemical analyses. Biological sampling depths were within 3 m of the surface, within 3 m of the bottom, and two to four approximately equally spaced intervals throughout the water column, depending on maximum depth. They were briefly held on ice in the dark and processed for longer term storage within an hour of collection. Whole water flow cytometry samples were preserved in 0.2% paraformaldehyde, flash-frozen in liquid nitrogen, and stored at ≤ −80°C until analysis. Duplicate 1 L samples for microbial taxonomic analyses were vacuum-filtered through 0.2 µm polyethersulfone filters (Sterlitech Corp, Kent WA), flash-frozen in liquid nitrogen, and stored at ≤ −80°C until extraction and analysis.
Measurements for dissolved inorganic nutrients (nitrate, nitrite, ammonium, phosphate, silicate), dissolved inorganic carbon (DIC), and total alkalinity (TA) content were analyzed following the methods of
Microorganism abundances were enumerated by a BD FACSCAlibur 2-laser 4-color flow cytometer operated by the Kavanaugh Laboratory at Oregon State University. Bacteria and archaea were enumerated using the method of
DNA for taxonomic analyses was extracted from frozen filters by the methods of
Forward 515F (Parada): 5’ GTGYCAGCMGCCGCGGTAA-3’
Reverse 806R (Apprill): 5’ GGACTACNVGGGTWTCTAAT-3’
For the eukaryotic library, the following 18S primers from
Forward 1391F: 5’-GTACACACCGCCCGTC-3’
Reverse EukBr: 5’-TGATCCTTCTGCAGGTTCACCTAC-3’
Individual samples amplified with HotStarTaq Plus Master Mix (Qiagen, USA) with the following conditions: denaturation at 95°C (5 minutes); 30 amplification cycles of 95°C (5 seconds), 53°C (40 seconds), 72°C (1 minute); elongation at 72°C (10 minutes). Products were uniquely dual indexed with Nextera adapters, purified with calibrated Ampure XP beads, and size-checked and quantified in 2% agarose gel for normalization and pooling. Library preparation and sequence analysis was performed using the MiSeq reagent kit v3 (600 cycles) on a MiSeq sequencer (Illumina, San Diego CA) following manufacturer’s guidelines by Molecular Research LP (MR DNA, Shallowater, TX USA).
Dereplicated sequence reads from the bacterial and archaeal results were quality trimmed using Trimmomatic (
For 18S eukaryotic sequence results, primer sequences were removed from demultiplexed paired-end reads using CUTADAPT version 3.0 (
Data are deposited in publicly accessible repositories. Physical and chemical seawater data are archived at NOAA’s National Centers for Environmental Information
Data exploration and statistical analyses were performed using PRIMER7 (
Up to twelve seawater parameters were measured for each sample, and principal components (PC) analysis of all parameters revealed strong alignment of samples with PC axis 1 which was best defined by
Principal components analysis (PCA) of twelve seawater parameters. PCA model is plotted by geographic group
The maximum depth of the sampling locations was typically < 50 m for the southern stations, from Cape Mendocino through Cape Johnson (A through I;
Box plots of sampling depths
Except for samples from the Columbia River estuary (E), median temperatures ranged from 7.5°C (Cape Flattery, J) to 10.6°C (Heceta Head and Cape Ferrelo, C and I, respectively;
Salinity varied widely among the groups, with lowest values in the Columbia River estuary (1.9-23.1; not shown), and wide variation in the Columbia River plume (F;
Dissolved oxygen content of seawater ranged between 56.5 and 430.7 µmol kg−1 and varied widely across the geographic groups (
The values for pH on the total scale (pHT) ranged from 7.53 to 8.37 (
Changes in carbonate saturation can result from uptake of CO2 by seawater, causing biological consequences for calcifying organisms (e.g., bivalves and pteropods) such as impeding shell formation and dissolution of existing shells (e.g.,
Dissolved nitrate content for all samples were either within the oligotrophic range (0 to 16.5 µmol kg−1) or mesotrophic range (16.5 to 82.6 µmol kg−1). Nutrient content generally followed the expectation of increase with increasing depth (
In contrast to nitrate levels, many samples had eutrophic levels of dissolved inorganic phosphate (> 1.08 µmol kg−1). Eighteen samples had mesotrophic levels, and only five samples were at oligotrophic levels (< 0.32 µmol kg−1), which is limiting for diatom growth (
The patterns of low nitrate and high phosphate imply that nitrate to phosphate ratios would be low, and only two of the samples approached or exceeded the theoretical Redfield ratio of 16 to 1 (
Nitrite, a transient and intermediate product in microbial nitrification, was less than 0.5 µmol kg−1 for all samples except for deeper samples from Copalis Beach (G) and one deeper sample from Destruction Island (H). Examination of individual groups revealed a variety of profile patterns (
Ammonium can often display subsurface maxima close to the nitrite maxima. Although a preferred nitrogen source by phytoplankton, ammonium levels are typically low in seawater. Ammonium patterns varied by location, frequently displaying a subsurface maximum (Heceta Head, Columbia River plume, Cape Johnson, Cape Flattery, Barkley Sound, and Hecate Strait; C, F, I, J, L, and O, respectively;
Silicate ranged widely, from 0.96 to 172.11 µmol kg−1. Four samples were close or below 2 µmol kg−1 which is considered to be limiting for diatom growth (
Total bacterial and archaeal cellular abundance, measured by flow cytometry enumeration, followed an expected pattern of lower abundances with depth (data not shown), but there was wide variation in abundances among geographic groups (
Box plots of flow cytometry-based cell abundances for bacteria and archaea
Phytoplankton, including cyanobacteria, were also enumerated by flow cytometry.
Overall, there were significant correlations among microbial cell abundances (
Significant correlations of abundances for categories of microbes based on flow cytometry for all geographic groups combined.
Bacteria & archaea |
|
|
Large chlorophyll α cells | |
---|---|---|---|---|
|
0.478 | |||
|
0.563 | |||
Large chlorophyll α cells | 0.478 | 0.805 | ||
Eukaryotic nano- and picophytoplankton | 0.416 | 0.571 | 0.482 | 0.580 |
Spearman’s r, p ≤ 0.001, Bonferroni-adjusted for multiple comparisons.
Principal components analysis (PCA) of indices for richness, evenness, and diversity for bacterial and archaeal OTUs revealed geographic separation of southern and northern stations, primarily due to richness with high explanatory power (98.5%) of the first two axes (
PCA analysis based on diversity indices of eukaryotic ASVs showed a pattern different from bacterial and archaeal OTUs with good explanatory power (99.8%) for the first two PCA axes (
Potential relationships between seawater parameters and univariate indices for bacterial and archaeal OTUs and for microbial eukaryotic ASVs were examined, but no consistent and significant correlations were found (data not shown).
Nonmetric multidimensional scaling (NMDS) of bacterial and archaeal communities based on OTUs revealed strong separation between stations southward from Newport (A-D) & stations northward of Juan de Fuca Strait (L-P). The Washington coastal communities (F-K) overlapped with both the northern and southern groups, while communities within the Columbia River estuary (E) diverged from all other stations (
NMDS analyses of microbial eukaryotic ASVs revealed weak differentiation of community structure among geographic groups, primarily due to the greater differences of the two southern groups (Cape Mendocino, Cape Ferrelo) from all other groups (
Canonical analysis of principal coordinates (CAP) of microbial communities allows ordination of the samples using the sequencing data, so that samples with stronger similarities in community structure are ordered closer together in multidimensional space (
Plots of microbial communities for bacterial and archaeal OTUs
CAP analysis revealed even greater distinctions among geographic groups for microbial eukaryotic ASVs (
Permutational multivariate analysis of variance and pairwise comparison for OTU and ASV communities revealed significant differences and similarities among the geographic groups (PERMANOVA, p ≤ 0.05). OTU communities in the three southernmost groups (Cape Mendocino [A], Cape Ferrelo [B], Heceta Head [C]) and Columbia River estuary (E) were statistically distinct from each other and from all other groups. Along much of the Washington coast, OTU communities tended to be different from other sites, but similar to proximal locations (
Depth of sample was anticipated to be important in community structure, but the depth-based canonical correlations were modest (0.756 and 0.261 for axis 1 and 2, respectively for OTUs; 0.756 and 0.562 for axis 1 and 2, respectively for ASVs; data not shown). The ability of the depth-based CAP model to correctly assign samples was weak overall (50.4% for OTUs, 55.4% for ASVs). The depth models had poor predictive ability for OTUs (< 15%) and mediocre predictive ability for ASVs (14–43%) at intermediate depth intervals (21–50 m). Conversely, the depth models had best predictive ability for OTUs and ASVs at the depths ≤ 10 m (70.0% and 75.0%, respectively) and at depths > 50 m (76.1% and 62.5%, respectively).
Multivariate correlations between seawater parameters and OTUs or ASVs examined the relationship between microbial community structures and environmental factors. Due to the strong freshwater influence of the Columbia River, separate multivariate correlations were performed for samples associated with the river (E, F). The best fit between seawater parameters and OTUs using within-geographic group analysis identified five significant seawater parameters: temperature, pHT, nitrate, phosphate, and silicate (Bio-Env stepwise correlation, rho = 0.734). Correlation analysis for just the Columbia River-associated groups (E, F) identified five slightly different seawater parameters: temperature, salinity, dissolved inorganic carbon, nitrate, and ammonium (Bio-Env stepwise correlation, rho = 0.876). The best fit between seawater parameters and ASVs identified five significant seawater parameters: salinity, dissolved oxygen, total alkalinity, silicate, and nitrite (Bio-Env stepwise correlation, rho = 0.750). The ASV analysis using only Columbia River samples identified five significant seawater parameters: temperature, salinity, dissolved oxygen, nitrate, and ammonium (Bio-Env stepwise correlation, rho = 0.792).
Proteobacteria was a dominant phylum occurring across most of the geographic groups across all depths, with relative abundances spanning 20–60% (
Archaeal phyla were not as abundant as Proteobacteria, Bacteroidetes, and Cyanobacteria, but were frequently more abundant than most of the other bacterial phyla (
Low relative abundance bacterial phyla that were detected at all of the locations included Actinobacteria, Marinimicrobia (SAR406 clade), Planctomycetes, and Verrucomicrobia. Although these phyla occurred at all depths, Marinimicrobia and Planctomycetes exhibited increased relative abundances with depth. Among the other low relative abundance bacterial phyla, some occurred predominantly in shallower samples (Epsilonbacteraeota, Firmicutes, Patescibacteria) while others tended to occur in deeper samples (AncK6, Chloroflexi, Gemmatimonadetes, Nitrospinae, PAUC34f).
Among eukaryotic microbes, Dinoflagellata and Bacillariophyta were dominant across all geographic groups and at all depths, although Bacillariophyta relative abundances greatly declined at depths > 50 m at geographic locations north of the Columbia River (
Examination of co-occurrences between bacterial and archaeal phyla with eukaryotic microbial phyla revealed two major groupings across the samples. A larger group containing most of the highly abundant bacterial and archaeal phyla (e.g., Proteobacteria, Cyanobacteria) and eukaryotic microbial phyla (e.g., Ochrophyta, Dinoflagellata) displayed many strong associations (≥80% co-occurrence among samples;
Network of co-occurrences between 16S and 18S phyla occurring in ≥80% of the samples
The patterns of family abundances across the geographic locations and depths provides finer resolution both spatially and taxonomically. The most abundant bacterial and archaeal families across all geographic groups were Flavobacteriaceae and Rhodobacteriaceae (
Some bacterial and archaeal families exhibited patterns associated with depth. Although Nitrosopumilaceae occurred in all groups (except in the Columbia River estuary), the family displayed a pattern of increasing abundance with depth. Microtrichaceae also exhibited a depth-associated pattern, but with lower relative abundance than Nitrosopumilaceae (
Other bacterial and archaeal families displayed patterns associated with geographic locations. Nitrosococcaceae was not detected at Destruction Island and groups south of Destruction Island (A–H), but was detected at Cape Johnson and all groups northward (I–P). Burkholderiaceae was found everywhere except the two southernmost groups, Cape Mendocino (A) and Cape Ferrelo (B). Hyphomicrobiaceae were only detected at Cape Mendocino (A) and Cape Flattery (J). Coxiellaceae, which includes the pathogenic
Among eukaryotic phytoplankton, twelve taxa were relatively abundant across the entire cruise and at all depths: diatoms (Bacillariophyceae, Bacillariales, Chaetocerotales, Coscinodiscales, Thalassiosirales), dinoflagellates (Dino-Group-I, Dino-Group-II, Gonyaulacales, Gymnodiniales, Peridiniales), and microalgae (Cryptomonadales, Prymnesiales;
Among zooplankton classes, three taxa were common across the entire cruise and depth profile: Litostomatea (ciliates), Filosa-Thecofilosea (amoebic flagellates), and Spirotrichea (ciliates;
Eukaryotic microbes other than zooplankton and the most abundant phytoplankton were also detected with 18S metabarcoding. Among these groups are free-living and parasitic protists (e.g., Apicomplexa, Gregarinomorphea, Labyrinthulomycetes), saprotrophs (e.g., Opalozoa, Oomycota), and algae (e.g., Picozoa, Chrysophyceae). Classes abundantly present in all geographic groups and by depth included Chrysophyceae, Dictyochophyceae, Gregarinomorphea, Picozoa, Labyrinthulomycetes, Telonemia, and six classes collectively called MAST (MArine STramenopiles;
Distribution of corrosive samples among geographic groups and depth intervals.
Depth interval |
C |
D |
G |
J |
K |
M |
N |
O |
---|---|---|---|---|---|---|---|---|
11–20 m | ||||||||
21–30 m | ||||||||
31–40 m | ||||||||
41–50 m | ||||||||
51–100 m | ||||||||
> 100 m |
Red cells indicate groups and depth intervals that contained corrosive samples. Gray cells indicate depths beyond the bottom depth for a geographic group (i.e., no sample possible). Only groups with corrosive samples are shown.
Five bacterial and archaeal genera were identified as potential indicator taxa for corrosive waters:
Box plots of relative abundances of five bacterial and archaeal indicator genera for corrosive waters.
Analysis for bacterial and archaeal genera that could be indicators for specific geographic locations found potential taxa for Cape Ferrelo (B), inside the Columbia River entrance (E), and Hecate Strait (O). The bacterial genus
Bacterial and archaeal classification to genus revealed several potentially pathogenic bacterial taxa, and these genera included
Sixteen eukaryotic genera considered as harmful algal bloom (HAB) taxa were detected across the geographic extent of the survey. The most frequently detected HAB taxa were
Average relative abundances of HAB genera detected by 18S metabarcoding by geographic group for samples from all depths
Among the remaining eukaryotic taxa, a number of potential parasites and parasitoids were detected (
Parasites and parasitoids detected with 18S metabarcoding, associated pathogenicity, known hosts, and geographic groups where detected.
Parasite | Pathogenicity | Known hosts | Locations detected | Reference |
---|---|---|---|---|
|
endoparasite | dinoflagellates | P | ( |
|
parasite | hyperiid amphipods | J | ( |
|
invades gastrointestinal tract | crustaceans | all groups | ( |
|
foot muscle destruction, mortality |
|
C, N, O, P | ( |
|
parasitoid | dinoflagellates | C, E, G, I, | ( |
|
parasite | diatoms | A, B, C, D, E, F, G, H, I, J, K, L, M | ( |
|
invades and spreads in body cavity | copepods | G, K, L, | ( |
|
parasitoid | diatoms | C, D, F, G, I, L, N, O, P | ( |
|
parasite | diatoms | A,B, D, F, G, I, L, O, P | ( |
|
toxin effect on gills and fish cells | finfish | H | ( |
|
parasitoid | diatoms | I, L, O | ( |
|
invades gastrointestinal tract | polychaete worms | L, P | ( |
|
parasite, reproductive interference (castration); molting interference | euphausiids (krill) | I, J, K, M, O | ( |
|
parasite | kelp crab ( |
P | ( |
The West Coast Ocean Acidification cruises are a subset of oceanographic surveys conducted since 2011 along the western coastline of the contiguous United States and portions of the Canadian west coast. Sampling for this microbial assessment was conducted in the northern portion of the cruise, ranging between latitudes 40.25°N and 52.40°N, encompassing the coastlines of northern California, Oregon, Washington, and southern British Columbia. Collecting microbial samples from the same water grabs used for analytical chemistry allows direct comparisons with microbial metabarcoding information without assumptions or adjustments for spatial or temporal differences in sampling. This direct correspondence is important for organisms with short replication periods and rapid responses to environmental conditions, such as bacteria and phytoplankton.
Overall, few physical and chemical measurements were extreme, and there was a considerable overlap in seawater profiles among locations, in spite of the large geographic range (
Commonalities in bacterial and archaeal communities occurred across the geographic span of the survey. Proteobacteria were dominant at all locations and at all depths, and Bacteroidetes and Cyanobacteria were highly abundant at depths ≤ 50 m. The high abundances for Proteobacteria were due primarily to the families
At depths > 100 m, the second most abundant phylum was the archaeal Thaumarchaeota (also known as Marine Group I archaea), composed of the family
Among phytoplankton,
Among zooplankton and non-phytoplanktonic eukaryotic microbes, several taxa were present at high relative abundances across the geographic extent of the cruise and in the depth profiles, suggesting these are important components of community structures. The taxa Chrysophyceae (golden algae), Litostomatea and Spirotrichea (ciliates), and Filosa-Thecofilosea (flagellates) span size ranges from 0.4 µm to greater than 20 µm and are dominant in Arctic melt pond communities (
Assessment for co-occurrences among 16S and 18S phyla identified two networks of interactions, one involving highly abundant taxa that occurred across the depth profiles and one involving less abundant taxa that were more abundant in deeper waters (
Eukaryotic phytoplankton exhibited stronger differentiation across the geographic groups than bacteria and archaea (
The northern locations (groups L through P) exhibited shared microbial features, in spite of the large spatial separation among sites and geomorphic differences in adjacent coastal uplands. Bacterial and archaeal taxon richness was consistently and significantly higher at northern locations (
In contrast to shared patterns in bacterial and archaeal communities among the northern locations, there was stronger geographic differentiation for southern locations. Communities at the two southernmost locations (Cape Mendocino and Cape Ferrelo, A and B, respectively) were strongly different from each other and all of the other locations (
Microbial communities from the Columbia River plume (F) and Copalis Beach (G) resembled each other but were distinctive from other locations (
Cape Flattery (J) was another geographic group that was distinctive: low levels of dissolved oxygen (
The survey included several sampling locations within the Columbia River estuary (E), and, not surprisingly, the community compositions were strikingly different from other locations (
Archaea were a prominent component of most communities, with Euryarchaeota and Thaumarchaeota each comprising ~5.5% of the overall sequence abundances, while Nanoarchaeota contributed < 0.1%. All Euryarchaeota were classified as Marine Group II, and this taxon was absent or at low relative abundance south of Newport (D) and detected at up to nearly 40% at depths < 20 m. In contrast to Thaumarchaeota, Marine Group II archaea are well distributed in photic zones and abundant in metabolically active fractions of the microbial community, strongly indicating a role in pelagic biogeochemical cycling (
Although Flavobacteriaceae occurred at all locations and ten genera were identified, the genus
In contrast to
The
In addition to fish pathogens, one potentially zoonotic genus was detected:
Microalgae capable of producing biotoxins or causing harm under bloom conditions were widely detected both geographically and across the depth profiles, and the identified taxa are well documented as problematic for seafood safety, marine organisms (including aquacultured and fisheries harvested species), and the marine ecosystem (
Nearshore marine environments are highly dynamic due to the influence of oceanic factors such as upwelling and terrestrial forces such as river inputs. Microbial communities in these nearshore areas can reflect ocean conditions due to their tight physiological connections with physical and chemical environmental parameters. The synoptic view of the 2016 West Coast Ocean Acidification survey provided a wide geographic perspective within a limited time frame (i.e., late spring-early summer) when upwelling is likely to occur. Seawater parameters revealed no widespread, extreme ocean conditions across the geographic extent of the survey, although some evidence of local upwelling was found at discrete locations along the Oregon and Washington coasts. Characterizations of microbial communities show a more common community structure for bacteria and archaea in more northern locations (i.e., north of latitude 48°N), but more differentiated community structures across the entire survey for eukaryotic microbes. Indicator taxa for potentially corrosive seawater were found among bacteria and archaea that are typical for deeper ocean waters, but no indicator taxa were identified among the eukaryotic microbes. Potentially pathogenic microbes, such as harmful microalgae, pathogenic bacteria, and microbial parasites were detected, but these were not associated with potentially corrosive seawater conditions. Surveys with closely linked chemical and biological sampling, such as this one, offer insights into the alignment of lower trophic levels with seawater parameters and link the ecology of microbes to impending changes in ocean conditions.
The datasets presented in this study can be found in the following online repositories. Physical and chemical seawater data are archived at NOAA’s National Centers for Environmental Information (NCEI Accession 0169412;
LR: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. NA: Data curation, Formal analysis, Investigation, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing. RGS: Formal analysis, Software, Validation, Visualization, Writing – review & editing. MK: Data curation, Formal analysis, Investigation, Resources, Validation, Writing – review & editing, Methodology. SA: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing. RF: Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – review & editing.
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Northwest Fisheries Science Center (NOAA Fisheries) provided funding and resource support, and NOAA’s Ocean Acidification Program (NOAA; project 21405, ROR # 02bfn4816) provided funding support. The NOAA PMEL contribution number is 5615.
The authors are grateful for the contributions of Dana Greeley (PMEL/NOAA) for seawater data management; William Nilsson (NOAA Fisheries) for assistance in sample collection; and Kelly George (CEOAS/Oregon State University) for flow cytometry data.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the edits, and the reviewers. The use of trade, firm, or corporation names is the for information of the reader, and does not constitute an official endorsement or approval by the U.S. Government
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