In the Gulf of Maine area (GoMA), as elsewhere in the ocean, the organisms of greatest numerical abundance are microbes. Viruses in GoMA are largely cyanophages and bacteriophages, including podoviruses which lack tails. There is also evidence of Mimivirus and Chlorovirus in the metagenome. Bacteria in GoMA comprise the dominant SAR11 phylotype cluster, and other abundant phylotypes such as SAR86-like cluster, SAR116-like cluster, Roseobacter, Rhodospirillaceae, Acidomicrobidae, Flavobacteriales, Cytophaga, and unclassified Alphaproteobacteria and Gammaproteobacteria clusters. Bacterial epibionts of the dinoflagellate Alexandrium fundyense include Rhodobacteraceae, Flavobacteriaceae, Cytophaga spp., Sulfitobacter spp., Sphingomonas spp., and unclassified Bacteroidetes. Phototrophic prokaryotes in GoMA include cyanobacteria that contain chlorophyll (mainly Synechococcus), aerobic anoxygenic phototrophs that contain bacteriochlorophyll, and bacteria that contain proteorhodopsin. Eukaryotic microalgae in GoMA include Bacillariophyceae, Dinophyceae, Prymnesiophyceae, Prasinophyceae, Trebouxiophyceae, Cryptophyceae, Dictyochophyceae, Chrysophyceae, Eustigmatophyceae, Pelagophyceae, Synurophyceae, and Xanthophyceae. There are no records of Bolidophyceae, Aurearenophyceae, Raphidophyceae, and Synchromophyceae in GoMA. In total, there are records for 665 names and 229 genera of microalgae. Heterotrophic eukaryotic protists in GoMA include Dinophyceae, Alveolata, Apicomplexa, amoeboid organisms, Labrynthulida, and heterotrophic marine stramenopiles (MAST). Ciliates include Strombidium, Lohmaniella, Tontonia, Strobilidium, Strombidinopsis and the mixotrophs Laboea strobila and Myrionecta rubrum (ex Mesodinium rubra). An inventory of selected microbial groups in each of 14 physiographic regions in GoMA is made by combining information on the depth-dependent variation of cell density and the depth-dependent variation of water volume. Across the entire GoMA, an estimate for the minimum abundance of cell-based microbes is 1.7×1025 organisms. By one account, this number of microbes implies a richness of 105 to 106 taxa in the entire water volume of GoMA. Morphological diversity in microplankton is well-described but the true extent of taxonomic diversity, especially in the femtoplankton, picoplankton and nanoplankton – whether autotrophic, heterotrophic, or mixotrophic, is unknown.
Citation: Li WKW, Andersen RA, Gifford DJ, Incze LS, Martin JL, Pilskaln CH, et al. (2011) Planktonic Microbes in the Gulf of Maine Area. PLoS ONE 6(6): e20981. https://doi.org/10.1371/journal.pone.0020981
Editor: Jack Anthony Gilbert, Argonne National Laboratory, United States of America
Received: December 10, 2010; Accepted: May 16, 2011; Published: June 15, 2011
Copyright: © 2011 Li et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Alfred P. Sloan Foundation through the Gulf of Maine Area Program of the Census of Marine Life. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The Census of Marine Life is a global assessment of the diversity, distribution and abundance of life in the ocean . Hemispheric-scale reviews have assessed biodiversity in pan-Canadian  and pan-American waters . However, for the purpose of ecosystem level considerations, there is a need to further downscale the Census to a regional level. One such region is the Gulf of Maine Area (GoMA), selected by the Census program because it is a place of significant economic, cultural, political, scientific, and educational interest. Although this distinct large marine ecosystem has a long history of plankton studies , few, if any, integrated assessments of this system ,  have explicitly considered the diversity of planktonic microbes, except for recognition of the phytoplankton as primary producers. More than 20 years ago, a review of marine microbiology for Georges Bank (part of GoMA)  stood at the cusp of the paradigm shift leading to the contemporary era of the microbial loop. The construct of a linear food chain from diatoms and dinoflagellates to copepods to fish was replaced by a complex non-linear food web that recognizes the diversity of form and function in unicellular organisms. Here, we review the current state of knowledge for planktonic microbes in GoMA as a contribution towards an integrated approach to the understanding and stewardship of this ecosystem .
Gulf of Maine Area
The Gulf of Maine area is bordered by the New England coastline of the United States (Maine, New Hampshire and Massachusetts) and the eastern maritime provinces of Canada (New Brunswick and Nova Scotia). The eastern boundary is delimited by a line normal to the coast of Nova Scotia extending from Halifax, the southern boundary by the 2000 m isobath on the continental slope, and the western boundary by Nantucket Shoals and the western side of the Great South Channel (Fig. 1). GoMA can be partitioned by physiography into 14 regions that comprise the coastal shelves (Scotian Coastal Shelf, Eastern Coastal Shelf, Northern Coastal Shelf, Southern Coastal Shelf), the Bay of Fundy, the open shelves (Western Scotian Shelf, the central Gulf of Maine proper), offshore banks (Georges Bank, Browns Bank), major basins (Georges Basin, Jordan Basin, Wilkinson Basin), and deep waters (continental slope, Bear Seamount). The Western Scotian Shelf also has a bank and basin topography, with two basins (LaHave, Emerald) deeper than 250 m. In total, these regions account for 0.3% of the surface area and 0.01% of the volume of the North Atlantic Ocean (Text S1).
Fourteen physiographic regions are defined for this study (Text S1). The shaded bathymetry is from United States Geological Survey 15 arc sec data used in the hypsometric calculations. High-resolution data were not available for the portion (2%) of the study area that is not shaded.
In a larger physical context, GoMA may be considered one of six components of the northeastern North American coastal ocean system, formed by the Labrador Shelf, the Newfoundland Shelf, the Gulf of St. Lawrence, and the Scotian Shelf to the north, and the Mid Atlantic Bight to the south . These components largely correspond to an ecological sub-partition of the Northwest Atlantic Shelves Province (NWCS) of the Atlantic coastal biome  in which GoMA lies on the northeast shelf midway between Cabot Strait and Cape Hatteras. A comprehensive oceanographic description of the northwest Atlantic continental shelf including the Gulf of Maine  underscores the importance of the physical setting (physiography, circulation and water masses, North Atlantic Oscillation, frontal features, the Gulf Steam) to ecosystem considerations. Thus, for metazooplankton and pelagic nekton, it is evident that factors such as bathymetry, proximity of the coast, advection, and shelf-slope mixing shape the patterns of biological diversity .
The Global Ocean Survey (GOS) collected virus fraction concentrates by tangential flow filtration at all stations, including those in GoMA , but the analysis of these virus fractions apparently has yet to be reported. However, virus sequences in the microbial fraction (0.1 µm–0.8 µm) for GoMA GOS samples GS02 - GS07  have already shed light on the larger free-viruses (which are not associated with hosts) and any viruses that were infecting microbial hosts at the time of sampling. Sequence data from these GOS microbial fractions revealed that viruses are clearly an abundant component representing approximately 3% of the total predicted proteins . The predominant virus sequences throughout the GOS subset originated largely from tailed bacteriophages. However, analysis of the spatial distribution of virus sequences revealed that GoMA has a higher proportion of sequences from podoviruses, a family of bacteriophages that lack tails. An effort to map the distribution of genes from a Prochlorochoccus-specific cyanophage genome (P-SSM4  across the GOS subset, showed no hits in GoMA . This is not surprising, since Prochlorococcus spp. have not been reported in the Gulf of Maine, as expected for shelf waters north of the Gulf Stream.
In a taxonomic analysis of large DNA viruses in the GOS metagenome, using the viral DNA polymerase gene as taxonomic marker, a high proportion of Chlorovirus and Mimivirus homologues were observed in GoMA . Observations of Chloroviruses are worth noting since they are likely of freshwater origin. Their green alga hosts are small, unicellular, non-motile, asexual green algae with a global distribution. To date, the only described chloroviruses infect symbiotic Chlorella, often referred to as zoochlorellae, such as those associated with the protozoan Paramecium bursaria or the coelenterate Hydrozoa viridis , , . Mimivirus is the largest known virus at 1.2-Mega base-pairs . Taxonomically, there is only a single representative in the family Mimiviridae though it is likely that Mimivirus homologues discovered in the GOS database are related to algal viruses .
Viruses are obligate parasites and require a susceptible host as a starting point for isolation studies. For microbial hosts, viruses are typically isolated by adding filtered seawater (most viruses pass through a 0.2 µm filter) to a culture of host cells or by enriching the filtered seawater with nutrients prior to adding host cells of choice. Clonal purification of viruses can then be conducted by plaque assay using standard microbiological techniques. GoMA viral isolates have been studied in this way. Favourable physicochemical conditions make GoMA an ideal location for frequent mesoscale blooms of the coccolithophore Emiliania huxleyi that usually occur during summer stratification, and even in non-bloom years calcifying species make up a significant part of the phytoplankton community . Three DNA-containing viruses that infect E. huxleyi (EhVs) have been isolated in GoMA . The EhVs were ether-resistant isolates that possessed icosahedral symmetry and were 130–160 nm in diameter. All isolates caused complete lysis of host cultures within four days, produced large plaques on host lawns in agarose, and were highly stable at −72°C. Although no molecular characterization was conducted, these viruses are morphologically similar to coccolithoviruses, a virus genus from the family Phycodnaviridae , , a group of large double stranded DNA viruses that are known to infect E. huxleyi and other algae. Of the six Phycodnaviridae genera, the prasinoviruses and viruses of photosynthetic picoeukaryotes are the least represented in the literature, despite the globcal and ecological importance of their hosts. Viruses for these algal groups have been readily isolated elsewhere , ; they may be expected to be prevalent in GoMA but to our knowledge no similar isolation has been performed in these waters.
A range of marine bacteriophages and cyanophages (viruses that infect bacteria or cyanobacteria) were isolated from West Boothbay Harbor or the central Gulf of Maine in different studies between 2000–2007 for use in determining their scattering properties in seawater , . Only some very basic characterization was conducted on these phages, focusing on their morphology, size and speed of culture lysis, all components necessary for interpreting light scattering properties. Cyanophages and bacteriophages are known to be ubiquitous and abundant in the ocean . It is probable they are equally abundant in GoMA and would therefore constitute the majority (95%–99%) of all viruses in this region.
Several significant molecular studies of bacterial diversity have been conducted in GoMA in recent years. These include the GOS Expedition metagenomics project , a study investigating links between bacterial 16S rRNA gene profiles and phytoplankton community structure in the Bay of Fundy , a survey of bacterial associates of cultivated phytoplankton isolated from GoMA , and an analysis of bacteria associated with the major toxic dinoflagellate in GoMA, Alexandrium fundyense , . Since exhaustive surveys of bacterial diversity are not feasible in a system as large and heterogeneous as GoMA, and because different sites, seasons, depths, size fractions, and molecular approaches were used in various studies, there is no consensus list of clades that are present or even abundant in GoMA. In addition, most studies to date have focused on near-surface depths and, to our knowledge, there is only preliminary information about bacterial diversity in deep water habitats, such as the benthic nepheloid layer . Our intention here is to provide an overview of patterns of abundant clades that appear to be associated with particular microbial habitats within the GoMA. More detailed sequence and taxonomic data from GoMA microbial communities is available via both CAMERA  and MICROBIS (http://icomm.mbl.edu/microbis/) databases.
Using a shotgun sequencing approach, Rusch et al.  avoided the potential biases in PCR-based amplification of 16S rRNA genes . Their metagenomic analyses focused on the 0.1–0.8 µm size fraction of near-surface seawater. While the volume of sequence data generated in their study was vast, the number of samples was small, so it is difficult to draw statistically robust conclusions about phylotypes that are particular to the GoMA. Their results show that members of the SAR11 cluster (Candidatus Pelagibacter) comprised the dominant phylotype among GoMA sequences, with other highly abundant phylotypes including the SAR86-like cluster, SAR116-like cluster, Roseobacter, Rhodospirillaceae, Acidomicrobidae, Flavobacteriales, Cytophaga, and unclassified Alphaproteobacteria and Gammaproteobacteria clusters. Members of the SAR11 cluster were ubiquitously dominant across their sampling sites (from the northern GoMA to the tropical western Atlantic) and SAR86-like and SAR116-like clusters were common (but not abundant) across GoMA and other sample types. In contrast, phylotypes that appeared more commonly in GoMA samples than in other GOS sites included two Roseobacter phylotypes (RCA and type b), Acidomicrobidae, Flavobacteriales, Comamonadaceae, Gammaproteobacteria type b, and Alphaproteobacteria type c.
Other studies have also identified the prevalence of the Roseobacter clade in GoMA. For example, Roseobacter phylotypes were found to be dominant members of both the free-living (0.22–5.0 µm size fraction) and the particle-associated (5–100 µm size fraction) bacterial communities in a PCR-DGGE based seasonal (February to September) analysis of near-surface seawater samples in the Bay of Fundy . In addition, Roseobacter phylotypes were found to be prevalent among bacteria associated with diverse phytoplankton isolated from the GoMA . These findings support results from other coastal environments such as in the southeastern USA  that have suggested Roseobacter phylotypes may account for 20% of the total bacterial community in coastal habitats. The fact that Roseobacter appears prevalent in both free-living and phytoplankton-associated habitats is also indicative of their metabolic versatility .
Several studies focusing on bacterial associates of the major toxic microalga in GoMA, A. fundyense, have revealed the importance of several other clades in GoMA microbial communities. In particular, members of the Gammaproteobacteria such as Alteromonas spp. and Pseudoaltermonas spp. were found to be dominant members of bacterial assemblages that stimulated A. fundyense growth . These genera were also detected in direct molecular analyses of bacterial epibionts of natural A. fundyense populations captured from seawater samples using an immunomagnetic bead separation method . This latter study also found many other Gammaproteobacteria, including phylotypes that fell within the Chromatiales, Pseudomonadaceae, Oceanospirillaceae, Colwelliaceae, and Vibrionaceae and the genera Halomonas, Psychrobacter to be dominant members of the Alexandrium epibiont community . Major clades that were found to be Alexandrium epibionts and that were identified by Hasegawa et al. and others to be abundant in the GoMA in general included Rhodobacteraceae, Flavobacteriaceae, Cytophaga spp., Sulfitobacter spp., Sphingomonas spp., and unclassified Bacteroidetes , , , .
The identification of predominant microbial taxa with specific metabolic capabilities is now possible using high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification, and subsequent PCR screening. The proof of concept for this innovation was undertaken using GoMA bacterioplankton . A pilot library of 11 single amplified genomes was constructed from five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. This technique allows a precise match of phylogenetically informative genes (such as 16S rRNA) with functional genes (such as proteorhodopsin) in single cells. In addition, through bioinformatics, the Gulf of Maine results can be used to interpret survey data from elsewhere in the Atlantic Ocean . The combination of single cell genomics and metagenomics is therefore a powerful new way to study the genome content, metabolic adaptations, and biogeography of numerically significant, uncultured marine microbes.
The diversity of cyanobacteria in GoMA encompasses 22 taxonomic names belonging to 13 genera, which are Anabaena, Chroococcus, Gloeocapsa, Lyngbya, Merismopedia, Microcystis, Oscillatoria, Phormidium, Planktothrix, Rhabdoderma, Spirulina, Synechococcus, and Trichodesmium (Table 1). The records include some forms generally considered to be freshwater but they were found in coastal, estuarine, and tidal river habitats that are considered part of the Gulf of Maine. The dominant photo-oxygenic prokaryote in GoMA is Synechococcus, a complex of organisms with similar morphology. These picoplanktonic cyanobacteria are common in many temperate coastal regions and their annual cycle of abundance at various locations in GoMA is well-established , , generally showing a maximum around the autumn equinox , .
The other widely distributed marine cyanobacteria, Prochlorococcus, has, to our knowledge, not been reported in GoMA. Prochlorococcus commonly co-occurs with Synechococcus in subtropical and tropical open ocean waters, and is highly abundant in permanently stratified waters. However, Prochlorococcus is absent in subpolar and polar waters, and therefore its distribution range is limited to latitudes equatorward of approximately 45° . The dominant source water in the Gulf of Maine is the Labrador Current and Scotian shelf, where Prochlorococcus does not occur .
Aerobic anoxygenic phototrophs
Aerobic anoxygenic phototrophic (AAP) bacteria use bacteriochlorophyll in a photometabolism that does not split water to produce oxygen. It is assumed that organic matter or some other molecules act as electron donors. This bacterial photometabolism was previously known to occur in anaerobic environments but has now been shown to occur throughout the aerobic surface ocean , . The AAP photometabolism occurs in a wide diversity of bacterial types , so the term AAP appears to best represent a functional group of bacteria rather than a phylogenetic group.
In a study conducted from 2001 to 2002, the abundance of AAP bacteria in GoMA ranged from a low of 7,600 cells ml−1 in March with a water temperature of 4.2°C, to a high of 98,400 cells ml−1 in October when the water was 11.7°C . AAPs ranged from 1 to 9 % of the total bacteria in these samples, with higher proportions occurring during the warmer October sampling. The distribution of AAP bacteria generally followed that of phytoplankton, being more abundant in more productive waters. The emerging conclusion is that although AAP bacteria comprise only a small proportion of total oceanic bacterioplankton, the photoheterotrophic mode of the former is still more energetically efficient than the obligate hetetrophic mode of most bacterioplankton . Indeed, AAP bacteria may have a high growth rate in the ocean .
Proteorhodopsin is a retinal-binding protein that functions as a light-driven proton pump in many marine bacteria . Variants of proteorhodopsins have been identified that show spectral adaptation to light quality in marine systems . This photometabolism generates much less energy than photosynthesis, but possibly enough to give a growth advantage over obligate heterotrophs in the light .
The widespread occurrence of proteorhodopsin genes in metagenomic surveys , ,  suggests that bacteria with a light-driven proton pump may be ubiquitous in pelagic environments. Profteorhodopsin genes found in GoMA by GOS are more than 80% dominated by variants adapted to green light. This distribution of variants appears common in northern coastal regions, but contrasts with the distribution in open ocean and tropical coastal waters where the blue variant dominates . In a demonstration of whole genome sequencing of single cells isolated by cell sorting, Flavobacteria cells from GoMA in Boothbay Harbor waters were shown to contain proteorhodopsin genes .
GoMA been characterized as a complex biogeographic transition area comprising species that are characteristic of several provinces . For macroorganisms, the Gulf represents the northern distribution limit for many warm-water species and the southern distribution limit for many cold-water species. The microphytoplankton flora is essentially a mixture of temperate and boreal species, mostly diatoms, of both neritic and oceanic components.
Current and historical records of microalgae in GoMA document 665 names and 229 genera (Table 2, Table S1). The records include some algae generally considered freshwater algae but they were found in coastal, estuarine, and tidal river habitats that are considered part of the Gulf of Maine. Verification problems may arise in these records. There is often a lack of voucher material, drawings, photographs, or DNA, and these omissions impede modern verification of historical microalgal identities. For example, based upon electron microscopy and DNA sequences, the planktonic diatom commonly reported as Skeletonema costatum, as currently circumscribed  almost certainly does not occur in the Gulf, whereas the taxa in the Gulf are likely to belong to one of these three species: Skeletonema grethae, S. menzelii, S. marinoi. Additionally, nomenclatural problems arise because of name changes and newly discovered cryptic diversity found within old names. As a result of these problems, it is essentially impossible to use the historical data to assemble a fully accurate listing of marine microalgae. Nevertheless, microalgae remain the most broadly studied group of microbes in GoMA.
Diatoms (Bacillariophyta) are the most taxon rich group of algae in GoMA as they are elsewhere. A checklist of diatom species reported (and presumed native) from the Canadian and the neighbouring north, east, and west coasts of North America indicates approximately 893 valid names, representing 160 diatom genera that include 825 species and 69 subspecies taxa level . A subset of these is found in GoMA, where approximately 100 genera and 345 species have been recorded, including 50 species of Chaetoceros, 34 species of Navicula, 23 species of Nitzschia, 15 species of Coscinodiscus, 13 species each of Pleurosigma and Thalassiosira, and 11 species of Gyrosigma. Almost certainly, these numbers underestimate the true diversity.
Dinoflagellates (Dinophyceae) have taxon records for 157 names and 26 genera. Of these, there are 47 species belonging to Peridinium, which is now generally regarded as a freshwater/brackish genus that has nearly 1000 named entities (but far fewer recognized by modern taxonomists). Other named genera in the historical records include Alexandrium, Amphidinium, Ceratium, Cochlodinium, Dinophysis, Diplopsalis, Exuviella, Glenodinium, Gonyaulax, Gymnodinium, Gyrodinium, Heterocapsa, Katodinium, Mesoporos, Minuscula, Noctiluca, Obeliea, Oxyrrhis, Oxytoxum, Peridiniopsis, Phalacroma, Prorocentrum, Protoperidinium, Pyrophacus, Scrippsiella, Zygabikodinium.
Haptophyta are a predominately marine group of algae, with only a very few species known from freshwaters. GoMA records include 34 names and 17 genera, which are mostly coccolithophores. Common genera include Chrysochromulina, Diacronema, Emiliania huxleyi ( = Coccolithus huxleyi, Pontosphaera huxleyi), Pavlova, and Prymnesium.
The green algal records include many marine species but also there are a number of freshwater taxa that have been reported from tidal rivers (e.g. Pediastrum, Scenedesmus). The class Prasinophyceae includes five marine genera represented by Halosphaera viridia, Micromonas pusilla, Ostreococcus sp., Pycnococcus provasolii and Tetraselmis spp.. The Trebouxiophyceae records consist of 6 genera: Chlorella spp., Nannochloris sp., Chlorosarcinopsis halophilia, Oocystis minuta, Pyramimonas spp., and Schizochlamydella capsulata.
Among the Chromalveolate microalgae, in addition to the diatoms and dinoflagellates mentioned above, there is good reprefsentation from a number of classes. The Cryptophyceae records include 4 genera (Chilomonas marina, Chroomonas pauciplasta (nom. nud.), Hemiselmis rufescens, and Rhodomonas spp.) but almost certainly many more cryptophytes occur in GoMA. Among the heterokont algae, there are a few known representatives for many classes. The silicoflagellate Dictyocha speculum and the related Pseudopedinella are two dictyochophytes, but it is likely that a number of others also occur in GoMA. For the Eustigmatophyceae, Nannochloropsis granulata has been identified using DNA sequences, but one assumes that many of the other Nannochloropsis species also inhabit this region. The Pelagophyceae, which generally occurs in the open oceans, has been found, as Pelagococcus spp. (apparently undescribed species), from the central regions of the Gulf. The Chrysophyceae and Synurophyceae, which are predominately freshwater groups, have been reported from tidal rivers and estuaries. Taxa include Dinobryon, Synura and Uroglenopsis. The Xanthophyceae, another predominately freshwater group, is represented by true marine species of Vaucheria, a filamentous alga that occurs in the benthos along the coastline. There are no records of Bolidophyceae, Aurearenophyceae, Raphidophyceae, and Synchromophyceae, all of which are mainly or entirely marine organisms. Amazingly, the fish-killing raphidophytes (Chattonella, Heterosigma) have never been reported even though there is intensive salmon fish farming in the Gulf.
A monitoring program initiated in 1987 in the southwest portion of the Bay of Fundy provides an ongoing record of morphotype diversity in the phytoplankton. To date, 55 species of dinoflagellates, 168 species of diatoms and several other species including flagellates have been observed in this area , , , , . Records of the paralytic shellfish poisoning (PSP) producing organism, A. fundyense, have been further separated into its life cycle stages, which include: duplets or triplets (asexually dividing cells) that are observed early in the bloom, fusing (sexual reproduction where two cells fuse together), planozygotes (large cells formed from the fusing cells) and cysts or resting spores.
The nomenclature of the organism A. fundyense (formerly named Gonyaulax = Protogonyaulax tamarense var excavatum, G. tamarense) was revised by Balech in 1985 based on the apical plate structure and its lack of a ventral pore. There are 3 species of Alexandrium in the Gulf of Maine; A. fundyense, A. tamarense and more recently, A. ostenfeldii. Anderson et al.  provided this operational rule: “Two saxitoxin-producing species of Alexandrium occur in the Gulf of Maine: A. fundyense and A. tamarense. We consider these to be varieties of the same species . Neither antibody nor oligonucleotide probes can distinguish between A. fundyense and A. tamarense from this region; only detailed analysis of the thecal plates on individual cells can provide this resolution. Since this is not practical for large numbers of field samples, for the purpose of this and other field studies, we use the name A. fundyense to refer to both forms”.
Seven species of Pseudo-nitzschia are known in the Bay of Fundy: P. americana, P. delicatissima, P. pseudodelicatissima, P. fraudulenta, P. pungens, P. seriata and P. subpacifica. Domoic acid produced by P. pseudodelicatissima may lead to amnesic shellfish poisoning (ASP). These species correlate differently with chemical and physical properties of seawater, suggesting that a multivariate approach may be a practical approach towards understanding the population dynamics of this group of related species .
In order to establish a baseline for species indigenous to the Bay of Fundy waters, a conservative approach is taken to list species that have been observed since 1995. From the 253 taxa identified since 1995, 8 dinoflagellate, 14 diatom and 5 additional taxa have been documented in the area for the first time. Those new species include the following: (dinoflagellates) Alexandrium pseudogonyaulax, Amphidinium carterae, Amphidinium sphenoides, Ceratium macroceros, Polykrikos schwartzi, Preperidinium meunieri, Protoperidinium crassipes, and Pyrocystis lunata, and (diatoms) Attheya septentrionalis, Attheya longicornis, Chaetoceros radicans, Cylindrotheca gracilis, Grammxatophora serpentina, Lithodesmium undulatum, Mediopyxis helysia, Membraneis challengeri, Neodenticula seminae, Odontella sinensis, Proboscia eumorpha, Pseudo-nitzschia subpacifica, Pseudo-nitzschia fraudulenta and Thalassiosira punctigera . Most of the species new to the area are cold temperate species that tend to exist in many regions of the world with similar ecosystems to the Bay of Fundy. However, these species appear to have established populations in the Bay of Fundy as they have been observed during more than one year or annually since the time of first observance. Of the 27 new species observed in the area, the majority were observed in 2000 (9 species) and 2001 (14 species) whereas one new species was detected in each of the years 1997, 2002, 2004, and 2005.
Heterotrophs and Mixotrophs
On the basis of morphotypes, heterotrophic eukaryote species richness appears to be low. Named or unnamed, there are 9 species of aloricate ciliates, 24 species of loricate ciliates, and 1 species of heterotrophic dinoflagellate (Table 3).
Eukaryotic heterotrophs have not been monitored systematically in any region of GoMA. The most intensive sampling was performed in 3 areas for limited periods of time. Montagnes et al.  focused exclusively on planktonic cilates at 3 stations of about 20 m depth off the Isles of Shoals over 15 months during 1985–1986. Morphological species were identified for the purpose of estimating total ciliate biomass at each station. Thirty-four morphospecies were identified, with abundances dominated by the genera Strombidium, Lohmaniella, Laboea, Tontonia, Strobilidium and Strombidinopsis.
Gifford and Sieracki (unpublished) sampled nano- and microheterotrophs throughout the water column in 3 hydrographically distinct areas of Georges Bank during January-June, 1995. Due to preservation with iodine-based fixative, which obscures internal detail, morphotypes of ciliates and dinoflagellates were only identified and subdivided into size classes. The number of morphotypes varied over season. The numerical abundances of all taxa were lowest in winter and early spring and increased following the spring bloom as the water column warmed. Forms larger than 20 µm were more abundant during winter and spring when the water column was fully mixed and forms smaller than 20 µm were more abundant during summer after the onset of stratification.
Stoecker et al.  mapped patterns of ciliate abundance along three transects on Georges Bank in July 1987. Total numerical abundances ranged from 600–13,000 cells l−1 and were highest on the shallow crest of the Bank. The mixotroph, Myrionecta rubra (ex Mesodinium rubra), contributed ca. 30% of total ciliate numbers on average, and mixotrophic oligotrich ciliates comprised ca. 34% of the ciliate fauna. The study included one station located in the Gulf of Maine in Georges Basin, where ciliates were less abundant than on the Bank.
In a 14-month study devoted exclusively to tintinnid ciliates in the Damariscotta River estuary, Saunders  identified 20 species, 10 of which were of the genus Tintinnopsis. Seasonal variation of tintinnid numbers (ranging from ca. 10 to several thousand cells l−1) tracked water temperature and chlorophyll, with numerical maxima in spring and summer and a minimum in winter. Other ciliates, primarily oligotrichs, were usually more abundant by an order of magnitude. The mixotrophic ciliate Laboea strobila was present year-round in relatively low abundance (ca. 2–40 cells l−1). Another mixotroph, Myrionecta rubrum, was present and abundant (ca. 1,000–40,000 cells l−1) only during winter and spring. Because of its relatively large size and high numerical abundance, it contributed significantly to the total ciliate standing stock when present . In this estuary, the predator-prey link between protists and their presumptive food source is evident in lagged annual maxima .
In the deeper waters of the Gulf of Maine, protists can be found at high abundances (up to 100 cells l−1) at depths from 55 to 100 m, which is well below the euphotic zone, pycnocline, and the depths of peak biomass and production of both phytoplankton and bacteria . Here, the most abundant protists were the heliozoan Sticholonche sp. and various tintinnids, principally the genus Tintinnopsis. These populations may derive their nutrition from particulates which settle out of surface waters rather than from local phytoplankton or microbial production.
For each selected microbial group k, a GoMA-wide inventory Nk can be made as follows. In each physiographic region j (Fig. 1), total standing abundance Nkj is computed as the sum over all m depth layers zi of the product of two functions, namely the depth-dependent variation of GoMA-wide cell density nk(zi) and the depth-dependent variation of water volume in that region vj(zi).
For this calculation, depth-dependent variations of cell density (cells m−3) can be parameterized from polynomial curve fits to GoMA-wide depth-binned average measurements. Such measurements (Fig. 2) are available only for the following 5 nominal microbial groups: bacterioplankton (prokaryotes excluding cyanobacteria), Synechococcus spp., picoeukaryotic phytoplankton, small nanophytoplankton (2–10 µm), and large nanophytoplankton (10–20 µm). The abundance of these cells is measured by flow cytometry  from full depth hydrographic casts across the entire Scotian Shelf and Slope in a network of sampling stations comprising the Atlantic Zone Monitoring Program  and at selected hydrographic stations in the Gulf of Maine proper. These profiles (Fig. 2) are taken to represent the vertical distribution of the microbes across the entire GoMA. Strong correlations are evident in the depth varying distributions of each microbial group with total phytoplankton biomass (indicated by chlorophyll a concentration) (Figs. 2,3).
(A) Bacteria (prokaryotes excluding cyanobacteria); (B) Chlorophyll a; (C) Synechococcus; (D) Picoeukaryotic phytoplankton; (E) Small nanophytoplankton; (F) Large nanophytoplankton. Data are from the Atlantic Zone Monitoring Program and binned into 5 m depth intervals. Profiles indicate average values and standard deviations from a network of stations on the Scotian Shelf sampled mainly in the spring and autumn from 1997 to 2010.
(A) Map of 3 stations in Jordan Basin, 1 station in Crowell Basin, and 2 stations in the Northeast Channel. Samples were collected in the upper 200 m from June 13–16, 2005 during the Discovery Corridor cruise. (B) Bacteria; (C) Synechococcus; (D) Picoeukaryotic phytoplankton; (E) Small nanophytoplankton; (F) Large nanophytoplankton. Microbial abundance in units of log cells ml-1; chlorophyll a concentration in units of log mg m-3.
Depth-dependent variations of water volume (m3) can be derived from hypsometric analysis (Text S1). For calculation, each water layer i is set to 10 m thickness. The gulf-wide inventory is the sum of region-specific standing stocks over all 14 physiographic regions.
In GoMA, a provisional estimate for the minimum abundance of cell-based microbes is 1.7×1025 organisms. The component inventories are 1.6×1025 bacterioplankton, 2.7×1023 Synechococcus, 8.1×1022 picoeukaryotic phytoplankton, 1.7×1022 small nanophytoplanton, and 1.2×1021 large nanophytoplankton (Table 4). In the same order, the ratios are 13,055 : 220 : 65 : 14 : 1. This provisional estimate does not account for viruses, nor any of the heterotrophic eukaryotes or larger phototrophic eukaryotes. Because of allometric constraints, the larger organisms exist at lower cell densities and would not add substantially to the total numerical inventory.
Cell-based microbes, here as anywhere else in the ocean, are overwhelmingly dominated by prokaryotes in number. We may expect the number of viruses to be about ten-fold greater. The estimate of global ocean prokaryote abundance is 1.2×1029 , of which 0.014% can be ascribed to GoMA. The largest contributing regions are the continental slope (which is deep) and the central Gulf of Maine (which is areally extensive). About 26% of the prokaryote inventory is found in each of these two regions. Georges Bank and the western Scotian Shelf each contribute about 11% of the prokaryote inventory. Georges Bank holds less water volume than the western Scotian Shelf, but the water on the Bank is better illuminated because of shallower mean depth. All other regions combine to contribute 24%, but none exceeds 4% individually.
For bacterioplankton, biomass can be estimated from cell abundance using a conversion of 24 fg dry weight per cell . In the 9 physiographic regions constituting 122,498 km2 of surface area in the Gulf of Maine proper (Browns Bank, Eastern Coastal Shelf, Bay of Fundy, Northern Coastal Shelf, Southern Coastal Shelf, Georges Basin, Jordan Basin, Wilkinson Basin, and Central Gulf of Maine – Table S1), the biomass equivalent of the sum of 7.56×1024 bacteria is 1.81×105 tons dry weight. Therefore the areal concentration of bacterioplankton biomass in the Gulf of Maine proper is about 1.48 tons dry weight per square kilometer. This empirical estimate is only 27% of the value used to satisfy trophic demand in one ecosystem model  and may prompt a need for sensitivity analysis of the energy budget in this ecosystem.
The estimation of microbial richness is fraught with difficulties in all aspects: conceptual, theoretical, statistical, empirical, and validational . Indeed, the probable irrelevance of the species concept for prokaryotes  means that there is no sensible answer, at least in conventional terms familiar to those who study multicellular eukaryotes. We do not dwell on these discussions in spite of their importance. Instead, we use scaling relationships to estimate taxonomic richness of prokaryotes and phytoplankton in operational units for the comparative purpose of placing GoMA in a global context.
Taxonomic richness can be estimated from the taxon-abundance distribution using two measured variables : the total number of individuals in the community (NT) and the number of individuals comprising the most abundant members of that community (Nmax). For prokaryotes, NT in GoMA is 1.6×1025 (Table 4) and the most common member is the SAR11 clade Pelagibacter ubique whose abundance may be taken to be about 25% of the total . For phytoplankton, NT in GoMA is 3.7×1023 (Table 4) and the member with the largest number of individuals is Synechococcus, with Nmax 2.7×1023 (Table 4). Using the nomogram relating taxonomic richness to NT for different values of the ratio NT /Nmax , we estimate that GoMA could have between 105 and 106 different taxa of prokaryotes, and between 103 and 104 different taxa of phytoplankton belonging to all size classes. These are provisional estimates of richness, based on untested simplifying assumptions and derived from provisional estimates of microbial inventories.
A more constrained approach to estimating richness is the taxa-area relationship based on empirical measurements. The assembly of local communities from a metacommunity leads to the idea that ecosystem size sets an upper bound to the achievable diversity of taxa. Local communities typically are subsets of regional taxa pools, and the subsets are reduced in ecosystems of smaller size. For phytoplankton, a power law scales species richness (S) to ecosystem surface area (A) across more than 15 orders of magnitude in spatial extent: S = 62.9A0.134 . By inference, GoMA may have 328 distinct phytoplankton morphospecies in the entirety of its 221,990 km2. This contrasts with the 665 taxonomic names identified by actual observation (Table 3). At the smaller scale of one particular physiographic region, it is notable that the same scaling relationship estimates 223 phytoplankton species in the Bay of Fundy (12,544 km2) which is very close to the 253 morphotaxa recognized by actual microscopic analysis.
In GoMA, it seems that morphological diversity in microplankton is well-described but the true extent of taxonomic diversity, especially in the femtoplankton, picoplankton and nanoplankton – whether autotrophic, heterotrophic, or mixotrophic, is unknown.
Definition of physioregions in GoMA with a summary of area, volume, and mean depth for physioregions.
We thank Ramunas Stepanauskas for early discussions and Sara Ellis for project management.
- 1. Snelgrove PVR (2010) Discoveries of the Census of Marine Life. Cambridge University Press.
- 2. Archambault P, Snelgrove PVR, Fisher JAD, Gagnon J-M, Garbary DJ, et al. (2010) From sea to sea: Canada's three oceans of biodiversity. PLoS ONE 5: e12182.
- 3. Fautin D, Dalton P, Incze LS, Leong J-AC, Pautzke C, et al. (2010) An overview of marine biodiversity in United States waters. PLoS ONE 5: e11914.
- 4. Mills EL (1989) Biological oceanography: An early history, 1870-1960. New York: Cornell University Press.
- 5. Zwanenburg KCT, Bundy A, Strain P, Bowen WD, Breeze H, et al. (2006) Implications of ecosystem dynamics for the integrated management of the eastern Scotian Shelf. Can Tech Rep Fish Aquat Sci. 2652.
- 6. Gaichas S, Skaret G, Falk-Petersen J, Link JS, Overholtz W, et al. (2009) A comparison of community and trophic structure in five marine ecosystems based on energy budgets and system metrics. Prog Oceanogr 81: 47–62.
- 7. Hobbie JE, Novitsky TJ, Rublee PA, Ferguson RL, Palumbo AV (1988) Microbiology. In: Backus RH, editor. Georges Bank. Massachusetts: MIT Press.
- 8. Ellis SL, Incze LS, Lawton P, Ojaveer H, MacKenzie BR, et al. (2011) Four regional marine biodiversity studies: Approaches and contributions to ecosystem-based management. PLoS ONE 6: e18997.
- 9. Loder JW, Petrie B, Gawarkiewicz G Robinson AR, Brink KH, editors. (1998) The coastal ocean off northeastern North America: a large-scale view. 11: Wiley. 105–133. The Sea.
- 10. Longhurst AR (2007) Ecological geography of the sea. Academic Press. 2nd ed.
- 11. Townsend DT, Thomas AC, Mayer LM, Thomas M, Quinlan JW (2006) Oceanography of the Northwest Atlantic continental shelf. In: Robinson AR, Brink KH, editors. 14. Cambridge: Harvard University Press. pp. 119–168. MA.
- 12. Johnson CL, Runge JA, Curtis KA, Durbin EG, Hare JA, et al. (2011) Biodiversity and ecosystem function in the Gulf of Maine: Pattern and role of zooplankton and pelagic nekton. PLoS ONE 6(1): e16491.
- 13. Rusch DB, Halpern AL, Sutton G, Heidelberg KB, Williamson S, et al. (2007) The Sorcerer II Global Ocean Sampling Expedition: Northwest Atlantic through Eastern Tropical Pacific. PLoS Biol 5: e77.
- 14. Williamson SJ, Rusch DB, Yooseph S, Halpern AL, Heidelberg KB, et al. (2008) The Sorcerer II Global Ocean Sampling Expedition: Metagenomic characterization of viruses within aquatic microbial samples. PLoS One 3: e1456.
- 15. Sullivan MB, Coleman ML, Weigele P, Rohwer F, Chisholm SW (2005) Three Prochlorococcus cyanophage genomes: Signature features and ecological interpretations. PLoS Biol 3: 790–806.
- 16. Monier A, Claverie JM, Ogata H (2008) Taxonomic distribution of large DNA viruses in the sea. Genome Biol 9: R106.
- 17. Kawakami H, Kawakami N (1978) Behavior of a virus in a symbiotic system, Paramecium bursaria-Zoochlorella. J Protozool 25: 217–225.
- 18. Meints RH, Vanetten JL, Kuczmarski D, Lee K, Ang B (1981) Viral-infection of the symbiotic Chlorella-like alga present in hydra-viridis. Virology 113: 698–703.
- 19. van Etten JL, Meints RH, Kuczmarski D, Burbank DE, Lee K (1982) Viruses of symbiotic Chlorella-like algae isolated from Paramecium bursaria and Hydra viridis Proc Nat Acad Sci USA 79: 3867–3871.
- 20. Raoult D, Audic S, Robert C, Abergel C, Renesto P, et al. (2004) The 1.2-megabase genome sequence of Mimivirus. Science 306: 1344–1350.
- 21. Monier A, Larsen J, Sandaa R-A, Bratbak G, Claverie J-M, et al. (2008) Marine mimivirus relatives are probably large algal viruses. Virolo J 5: 12.
- 22. Townsend DW, Keller MD, Holligan PM, Ackleson SG, Balch WM (1994) Blooms of the coccolithophore Emiliania huxleyi with respect to hydrography in the Gulf of Maine. Cont Shelf Res 14: 979–1000.
- 23. Vaughn JM, Balch WM, Novotny JF, Vining CL, Palmer CD, et al. (2010) Isolation of Emiliania huxleyi viruses from the Gulf of Maine. Aquat Microb Ecol 58: 109–116.
- 24. Wilson WH, Van Etten JL, Schroeder DS, Nagasaki K, Brussaard C, et al. (2005) Family: Phycodnaviridae. In: Fauquet CM, Mayo MA, Maniloff J, Dusselberger U, Ball LA, editors. Virus Taxonomy, VIIIth ICTV Report. London: Elsevier/Academic Press. pp. 163–175.
- 25. Wilson WH, van Etten JL, Allen MJ (2009) The Phycodnaviridae: The story of how tiny giants rule the world. Current Topics in Microbiology and Immunology 328. In: Van Etten JL, editor. Lesser Known Large dsDNA Viruses. Berlin Heidelberg: Springer-Verlag. pp. 1–42.
- 26. Moreau H, Piganeau G, Desdevises Y, Cooke R, Derelle E, et al. (2010) Marine prasinovirus genomes show low evolutionary divergence and acquisition of protein metabolism genes by horizontal gene transfer. J Virology 84: 12555–12563.
- 27. Weynberg KD, Allen MJ, Gilg IC, Scanlan DJ, Wilson WH (2011) Genome sequence of Ostreococcus tauri Virus OtV-2 throws light on the role of picoeukaryote niche separation in the ocean. J Virology 85: 4520–4529.
- 28. Balch WM, Vaughn JM, Novotny JF, Drapeau DT, Goes JI, et al. (2002) Fundamental changes in light scattering associated with infection of marine bacteria by bacteriophage. Limnol Oceanogr 47: 1554–1561.
- 29. Balch WM, Vaughn JM, Goes JI, Novotny JF, Drapeau DT, et al. (2007) Bio-optical consequences of viral infection of phytoplankton: I. Experiments with the cyanobacterium, Synechococcus sp. Limnol Oceanogr 52: 727–738.
- 30. Wommack KE, Colwell RR (2000) Virioplankton: Viruses in aquatic ecosystems. Micro Mol Biol Rev 64: 69–114.
- 31. Rooney-Varga JN, Giewat MW, Savin MC, Sood S, LeGresley M, et al. (2005) Links between phytoplankton and bacterial community dynamics in a coastal marine environment. Microb Ecol 49: 163–175.
- 32. Jasti S, Sieracki ME, Poulton NJ, Giewat MW, Rooney-Varga JN (2005) Phylogenetic diversity and specificity of bacteria closely associated with Alexandrium spp. and other phytoplankton. Appl Environ Microbiol 71: 3483–3494.
- 33. Ferrier M, Martin JL, Rooney-Varga JN (2002) Stimulation of Alexandrium fundyense growth by bacterial assemblages from the Bay of Fundy. J Appl Microbiol 92: 1–12.
- 34. Hasegawa Y, Martin JL, Giewat MW, Rooney-Varga JN (2007) Microbial community diversity in the phycosphere of natural populations of the toxic alga, Alexandrium fundyense. Environ Microbiol 9: 3108–3121.
- 35. Pilskaln CH, Churchill JH, L Mayer M (1998) Resuspension of sediment by bottom trawling in the Gulf of Maine and potential geochemical consequences. J Conserv Biol 12: 1223–1230.
- 36. Seshadri R, Kravitz SA, Smarr L, Gilna P, Frazier M (2007) CAMERA: a community resource for metagenomics. PLoS Biol 5: e75.
- 37. Polz MF, Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR. Appl Environ Microbiol 64: 3724–3730.
- 38. Gonzalez JM, Moran MA (1997) Numerical dominance of a group of marine bacteria in the alpha-subclass of the class Proteobacteria in coastal seawater. Appl Environ Microbiol 63: 4237–4242.
- 39. Moran MA, Belas R, Schell MA, Gonzalez JM, Sun F, et al. (2007) Ecological genomics of marine Roseobacters. Appl Environ Microbiol 73: 4559–4569.
- 40. Stepanauskas R, Sieracki ME (2007) Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time. Proc Nat Acad Sci USA 104: 9052–9057.
- 41. Woyke T, Xie G, Copeland A, González JM, Han C, et al. (2009) Assembling the marine metagenome, one cell at a time. PLoS ONE 4: e5299.
- 42. Li WKW, Harrison WG, Head EJH (2006) Coherent assembly of phytoplankton communities in diverse temperate ocean ecosystems. Proc R Soc Lond, Ser B 273: 1953–1960.
- 43. Poulton N, Thompson B, Tupper B, Cucci T, Their E, et al. (2009) Monitoring microbial patterns in plankton during a multiyear study in Boothbay Harbour, Maine. Gulf of Maine Symposium:Advancing ecosystem research for the future of the Gulf. New Brunswick: St. Andrews. October 2009.
- 44. Li WKW (1998) Annual average abundance of heterotrophic bacteria and Synechococcus in surface ocean waters. Limnol Oceanogr 43: 1746–1753.
- 45. Li WKW, Dickie PM (2001) Monitoring phytoplankton, bacterioplankton, and virioplankton in a coastal inlet (Bedford Basin) by flow cytometry. Cytometry 44: 236–246.
- 46. Partensky F, Blanchot J, Vaulot D (1999) Differential distribution and ecology of Prochlorococcus and Synechococcus in oceanic waters: A review. Bulletin de l'Institut océanographique 19: 457–475.
- 47. Li WKW (2009) From cytometry to macroecology: a quarter century quest in microbial oceanography. Aquat Microb Ecol 57: 239–251.
- 48. Kolber ZS, Plumley FG, Lang AS, Beatty JT, Blankenship RE, et al. (2001) Contribution of aerobic photoheterotrophic bacteria to the carbon cycle in the ocean. Science 292: 2492–2495.
- 49. Kolber ZS, Van Dover CL, Niederman RA, Falkowski PG (2000) Bacterial photosynthesis in surface waters of the open ocean. Nature 407: 177–179.
- 50. Béjá O, Suzuki MT, Heidelberg JF, Nelson WC, Preston CM, et al. (2002) Unsuspected diversity among marine aerobic anoxygenic phototrophs. Nature 415: 630–633.
- 51. Sieracki ME, Gilg IC, Thier EC, Poulton NJ, Goericke R (2006) Distribution of planktonic aerobic anoxygenic photoheterotrophic bacteria in the northwest Atlantic. Limnol Oceanogr 51: 38–46.
- 52. Zubkov MV (2009) Photoheterotrophy in marine prokaryotes. J Plankton Res 31: 933–938.
- 53. Koblizek M, Masin M, Ras J, Poulton AJ, Prasil O (2007) Rapid growth rates of aerobic anoxygenic phototrophs in the ocean. Environ Microbiol 9: 2401–2406.
- 54. Béjá O, Aravind L, Koonin EV, Suzuki MT, Hadd A, et al. (2000) Bacterial rhodopsin: Evidence for a new type of phototrophy in the sea. Science 289: 1902–1906.
- 55. Bielawski JP, Dunn KA, Sabehi G, Béjá O (2004) Darwinian adaptation of proteorhodopsin to different light intensities in the marine environment. Proc Nat Acad Sci USA 101: 14824–14829.
- 56. Gómez-Consarnau L, González JM, Coll-Lladó M, Gourdon P, Pascher T, et al. (2007) Light stimulates growth of proteorhodopsin-containing marine Flavobacteria. Nature 445: 210–213.
- 57. Venter JC, Remington K, Heidelberg JF, Halpern AL, Rusch D, et al. (2004) Environmental genome shotgun sequencing of the Sargasso Sea. Science 304: 66–74.
- 58. DeLong EF, Preston CM, Mincer T, Rich V, Hallam SJ, et al. (2006) Community genomics among stratified microbial assemblages in the ocean's interior. Science 311: 496–503.
- 59. Sinclair M, Wilson S, Subba Rao DV (1992) Overview of the biological oceanography of the Gulf of Maine. In: Wiggin J, Mooers CNK, editors. Proceedings of the Gulf of Maine Scientific Workshop, Woods Hole, Massachusetts 8-10 Jan 1991. Boston: Urban Harbors Institute, University of Massachusetts. pp. 91–111. Gulf of Maine Council on the Marine Environment.
- 60. Kooistra WHCF, Sarno D, Balzano S, Gu H, Andersen RA, et al. (2008) Global diversity and biogeography of Skeletonema species (Bacillariophyceae). Protist 159: 177–193.
- 61. Mather L, MacIntosh K, Kaczmarska G, Klein G, Martin JL (2010) A checklist of diatom species reported (and presumed native) from Canadian coastal waters. Can Tech Rep Fish Aquat Sci 2881: iii+78.
- 62. Wildish DJ, Martin JL, Wilson AJ, Ringuette M (1990) Environmental monitoring of the Bay of Fundy salmonid mariculture industry during 1988-89. Can Tech Rep Fish Aquat Sci 1760: 123.
- 63. Martin JL, Wildish DJ, LeGresley MM, Ringuette MM (1995) Phytoplankton monitoring in the southwestern Bay of Fundy during 1990-1992. Can Manuscr Rep Fish Aquat Sci 2277: 154.
- 64. Martin JL, LeGresley MM, Strain PM, Clement P (1999) Phytoplankton monitoring in the southwest Bay of Fundy during 1993-96. Can Tech Rep Fish Aquat Sci 2265: 132.
- 65. Martin JL, LeGresley MM, Strain PM (2001) Phytoplankton monitoring in the western isles region of the Bay of Fundy during 1997-98. Can Tech Rep Fish Aquat Sci 2349: 85.
- 66. Martin JL, LeGresley MM, Strain PM (2006) Plankton monitoring in the Western Isles region of the Bay of Fundy during 1999-2000. Can Tech Rep Fish Aquat Sci 2629: iv + 88.
- 67. Anderson DM, Townsend DW, McGillicuddy DJ Jr, Turner JT, editors. (2005) The ecology and oceanography of toxic Alexandrium fundyense blooms in the Gulf of Maine. Deep-Sea Research II 52: 2365–2876.
- 68. Anderson DM, Kulis DM, Doucette GJ, Gallagher JC, Balech E (1994) Biogeography of toxic dinoflagellates in the genus Alexandrium from the northeast United States and Canada. Marine Biology 120: 467–478.
- 69. Kaczmarska I, Martin JL, Ehrman JM, LeGresley MM (2007) Pseudo-nitzschia species population dynamics in the Quoddy Region, Bay of Fundy. Harmful Algae 6: 861–874.
- 70. Martin JL, LeGresley MM (2008) New phytoplankton species to the Bay of Fundy since 1995. ICES Journal of Marine Science 65(5): 759–964.
- 71. Montagnes DKS, Lynn DH, Roff JC, Taylor WD (1988) The annual cycle of heterotrophic planktonic ciliates in the waters surrounding the Isles of Shoals, Gulf of Maine: as assessment of their trophic role. Marine Ecology 99: 21–30.
- 72. Stoecker DK, Taniguichi A, Michaels AE (1989) Abundance of autotrophic, mixotrophic and heterotrophic planktonic ciliates in shelf and slope waters. Mar Ecol Prog Ser 50: 241–254.
- 73. Saunders RW (1987) Tintinnids and other mirozooplankton—seasonal distributions and relationships to resources and hydrography in a Maine estuary. J Plankton Res 9: 65–77.
- 74. Saunders RW (1995) Seasonal distributions of the photosynthesizing ciliates Laboea strobila and Myrionecta rubra ( = Mesodinium rubrum) in an estuary of the Gulf of Maine. Aquat Microb Ecol 9: 237–242.
- 75. Revelante N, Gilmartin M (1987) Seasonal cycle of the ciliated protozoan and micrometazoan biomass in a Gulf of Maine estuary. Estuarine, Coastal and Shelf Science 25: 581–598.
- 76. Townsend DW, Cammen LM (1985) A deep protozoan maximum in the Gulf of Maine. Mar Ecol Prog Ser 24: 177–182.
- 77. Whitman WB, Coleman DC, Wiebe WJ (1998) Prokaryotes: the unseen majority. Proc. Nat. Acad. Sci. USA 95: 6578–6583.
- 78. Kirchman DL (2000) Uptake and regenration of inorganic nutrients by marine heterotrophic bacteria. In: Kirchman DL, editor. Microbial Ecology of the Oceans. Wiley-Liss. pp. 261–288.
- 79. Curtis TP, Head IM, Lunn M, Woodcock S, Schloss PD, Sloan WT (2006) What is the extent of prokaryotic diversity? Philos Trans R Soc Lond, Ser B 361: 2023–2037.
- 80. Doolittle WF, Papke RT (2006) Genomics and the bacterial species problem. Genome Biology 7: 116.1–116.7.
- 81. Curtis TP, Sloan WT, Scannell JW (2002) Estimating prokaryotic diversity and its limits. Proc Nat Acad Sci USA 99: 10494–10499.
- 82. Morris RM, Rappé MS, Connon SA, Vergin KL, Siebold WA, Carlson CA, Giovannoni SJ (2002) SAR11 clade dominates ocean surface bacterioplankton communities. Nature 420: 806–810.
- 83. Smith VH, Foster BL, Grover JP, Holt RD, Leibold MA, deNoyelles F (2005) Phytoplankton species richness scales consistently from laboratory microcosms to the world's oceans. Proc Nat Acad Sci USA 102: 4393–4396.