Coccolithophores are unicellular calcifying marine phytoplankton that can form large and conspicuous blooms in the oceans and make significant contributions to oceanic carbon cycling and atmospheric CO2 regulation. Despite their importance, the bacterial diversity associated with these algae has not been explored for ecological or biotechnological reasons. Bacterial membership of Emiliania huxleyi and Coccolithus pelagicus f. braarudii cultures was assessed using cultivation and cultivation-independent methods. The communities were species rich compared to other phytoplankton cultures. Community analysis identified specific taxa which cooccur in all cultures (Marinobacter and Marivita). Hydrocarbon-degrading bacteria were found in all cultures. The presence of Acidobacteria, Acidimicrobidae, Schlegelella, and Thermomonas was unprecedented but were potentially explained by calcification associated with coccolith production. One strain of Acidobacteria was cultivated and is closely related to a marine Acidobacteria isolated from a sponge. From this assessment of the bacterial diversity of coccolithophores, a number of biotechnological opportunities are evident, from bioprospecting for novel taxa such as Acidobacteria to helping understand the relationship between obligate hydrocarbonoclastic bacteria occurrence with phytoplankton and to revealing bacterial taxa that have a specific association with algae and may be suitable candidates as a means to improve the efficiency of mass algal cultivation.
1. Introduction
Marine phytoplankton are responsible for primary production in the oceans, using sunlight and inorganic nutrients to fix carbon dioxide that becomes the organic matter that supports the biological productivity of our oceans. Crucially, the availability of inorganic nutrients, such as N, P, and Si, necessary for phytoplankton growth, is indirectly controlled by a vast array of heterotrophic bacteria and Archaea that are responsible for remineralizing the organic matter produced by the phytoplankton. In this way, the fates of both phytoplankton and bacteria in the oceans are indirectly tied to one another. Additionally, some bacteria interact directly with phytoplankton cells in ways that can be beneficial or antagonistic. Overall, this makes the diversity of bacteria associated with phytoplankton of significant biotechnological interest for the discovery of novel and exploitable biodiversity and functions, such as tropodithietic acids produced by members of the Roseobacter clade [1], and, more recently, as a source of beneficial bacteria to promote and sustain mass algal culture systems [2, 3] that could be used to enhance the production of products such as pigments, lipids, and polysaccharides.
Remarkably, the bacterial diversity associated with one of the most important groups of marine phytoplankton, the coccolithophores, has not previously been investigated. This is surprising given the ecological importance of coccolithophorid algae, which by forming calcified scales (coccoliths) contribute significantly to the production of pelagic carbonate, as well as making a significant contribution to oceanic carbon cycling and regulation of atmospheric CO2 levels [4]. From a biotechnological perspective, these calcareous structures serve as solid surfaces on which bacterial colonisation can occur, which are very different mineralogically and biochemically from the organic or siliceous matrices of other phytoplankton such as dinoflagellates (e.g., cellulose armour) and diatoms (ridged silica structures). Together, these properties suggest that there may be associated bacterial taxa that are specific to coccolithophores, as the surface of coccoliths may facilitate the formation of complex bacterial communities containing unique biodiversity as well as a complex chemical signalling and secondary metabolite production [5].
Considerable effort is now being focused on the efficient cultivation of range of algae in closed growth systems, such as photobioreactors [6]. While mass culture of coccolithophorid algae is presently of modest biotechnological interest as a means of CO2 sequestration and lipid production [7], there is some indirect evidence that bacteria could be important to this process if it is to be developed because at least one species of coccolithophore, Emiliania huxleyi, has been shown to have an intimate reliance on bacterial presence [8]. Such observations are increasingly leading researchers to the suggestion that algal-associated bacteria should be considered for use in mass algal cultures systems [9, 10] and the broader realisation that there is a need to understand more about the ecological role of algal-associated bacteria, such as which taxa may be symbionts [2, 11] and the mechanisms by which they benefit their host [12, 13] and, ultimately, how to exploit this knowledge to improve the efficiency of mass algal culture systems.
The present study catalogued the cultivable and total bacterial diversity associated with laboratory cultures of E. huxleyi and Coccolithus pelagicus f. braarudii with the aim of uncovering associations and potential interactions between bacterial taxa and coccolithophores and generating a library of taxonomically defined cultivable bacteria for biotechnological exploitation. The study describes the total bacterial diversity of four coccolithophore cultures identified using a combination of 16S rRNA gene clone libraries and bacterial cultivation and fluorescence in situ hybridisation. The data revealed the presence of complex and taxonomically rich communities with a number of taxa that were unique to coccolithophores. The biotechnological potential of this diversity is discussed.
2. Materials and Methods2.1. Algal Culture
Growth of all coccolithophore cultures (Table 1) was at 15°C in K medium diluted to (1/5)th full strength (K/5) [21] in 25 cm2 vented tissue culture flasks (Nunc) under cool-white fluorescent light of ca. 75 μmol photons m2 s1 with a 12 : 12 light : dark (L : D) photoperiod. All cultures were actively calcifying. Cultures were handled aseptically to prevent bacterial contamination and cross-contamination between cultures.
Coccolithophorid cultures examined in this study.
Coccolithophore1
Origin
Location
Isolation date
Culture collection
E. huxleyi
CCAP 920/8
Bergen mesocosm, Norway
Coastal
1992
CCAP
RCC 1214
Bay of Napoli, Italy
Coastal
2000
Roscoff
RCC 1216
Tasman Sea, New Zealand
Oceanic
1998
Roscoff
C. pelagicus f. braarudii
RCC 1200
South Atlantic, Namibia
Oceanic
2000
Roscoff
RCC 1203
Bay of Biscay, North Atlantic
Coastal
1999
Roscoff
1Cultures are also known as CCAP 920/8 = PLY B92/11; RCC 1214 = AC475; RCC 1216 = AC472; RCC 1200 = AC400; RCC 1203 = AC392.
The coccolithophore cultures used in this study (Table 1) were isolated using two different techniques. CCAP 920/8 was isolated by directly recovering a single calcifying cell from a water sample collected from a mesocosm experiment, using a glass capillary micropipette and growing them in an appropriate medium (J. Green pers. comm.). This mesocosm experiment (Bergen, Norway) used natural fjordic water collected and supplemented with nutrients [22, 23]. The RCC cultures were derived using a two-stage process initiated by addition of a small volume of water sample to culture media (e.g., K/5) to stimulate coccolithophore growth and, subsequently, isolate single calcifying cells by micropipette from patches of actively calcifying cells on the bottom of the growth vessel (RCC1200, RCC1203, RCC1214, and RCC1216; I. Probert pers. comm.) These cultures were derived from water samples collected as part of research cruises in oceanic and coastal regions of the Northern and Southern hemispheres. Further details can be obtained from the Roscoff Culture Collection (http://roscoff-culture-collection.org).
2.2. Bacterial Cultivation
Samples for molecular analysis were harvested by pipette from late log phase cultures that had been gently agitated to evenly suspend the nonmotile calcifying coccolithophores. A volume of the harvested cell suspension was serially diluted 10-fold and cell dilutions were plated onto ZM/10 agar (pH 7.8), a low organic concentration agar medium [24], and ONR7a [25] amended with trace metals and vitamins as used in ZM/10. ONR7a plates were amended with n-hexadecane soaked sterile filter paper. All plates were incubated in the dark at ca. 20°C for up to 8 weeks. Thereafter, unique colony morphologies were selected with the aid of a binocular microscope and were serially passaged on ZM/10 or ONR7a agar until a single colony morphotype was achieved. Several colonies of each morphology were then inoculated into 3 mL ZM/10 and ZM/1 [24] or for fastidious oil degraders and ZM/1 amended with 0.1% sodium pyruvate and grown with gentle shaking (ca. 20°C) until turbidity was visible. From each broth culture 1-2 mL was harvested for DNA extraction, and 1 mL was amended with sterile glycerol (20% v/v) and frozen at −80°C.
2.3. 16S rRNA Gene Analysis
16S rRNA gene clone libraries were constructed from 1 mL of the suspended late log phase culture (as above). Bacterial and algal cells were harvested by centrifugation (13,000 ×g for 10 min), the spent medium discarded and the cell pellets stored frozen at −80°C until DNA was extracted. DNA extraction used a cetyltrimethylammonium bromide purification method [26] amended to suspend the cell pellet in 100 mM Tris-HCl (pH 8.0), 150 mM NaCl, and 10 mM EDTA, to which lysozyme (5 mg mL−1 final concentration) was then added and incubated at 37°C for 30 min. Bacterial 16S rRNA gene sequences were amplified by the PCR from extracted DNA based on the universal bacterial primers 27f and 1492r [27], except that 27f primer was modified to include the underlined 5′ adapter sequence (27f adapter; CTAATACGACTCAGCTATGCACTAGRGTTTGATCMTGGCTCAG). The PCR reaction contained a final concentration of 1.8 mM Mg2+, 0.5 µM of each primer, 1 U Taq polymerase and 1x PCR buffer (New England Biolabs). The amplification protocol was 94°C for 5 min, followed by 20 cycles of 55°C for 30 s, 72°C for 3 min, and 94°C for 10 s, followed by 72°C for 10 min. For each coccolithophore culture, the amplicons from three independent 50 μL PCR reactions were pooled and purified with Montage PCR filters (Millipore) and then cloned using the pGEM-T Easy vector kit (Promega). 16S clones from each library were picked by sterile toothpick and reamplified using the forward adapter primer sequence (27fSeqAdapter; CTAATACGACTCAGCTATGCACT) and 1492r. This primer combination prevents amplification of the Escherichia coli DH5α host 16S rRNA gene. Amplicon products were cleaned using shrimp alkaline phosphatase (Promega) and exonuclease I (New England Biolabs) and then sequenced using BigDye version 3.1 terminator chemistry (Applied Biosystems) primed using the 27fSeqAdapter oligonucleotide. DNA sequence products were called on an ABI3730 instrument (Applied Biosystems). The method of DNA extraction, the primer combination of 27f and 1492r, and DNA sequencing were used for cultivable bacterial strains (cloning was omitted and the products of a single PCR amplification were submitted for DNA sequencing as above).
2.4. Phylogenetic Analysis
Bacterial 16S rRNA gene sequences were classified using the RDP II Classifier [15]. Where clone library operational taxonomic units (OTUs) corresponded to cultivable strains (>99% identity) from the same coccolithophore culture, the cultivable strain number was used to denote the OTU. All 16S sequences were screened for chimeric sequences using Bellerophon [28]. Phylogenetic inference was performed using the ARB software suite [29]. Alignments were built using NAST aligner [30] and imported into ARB and corrected as necessary. Tree constructions used a masked alignment (lanePH) and the maximum likelihood model as implemented in PhyML [31]. UniFrac analysis [32] was used to generate various statistics and principal coordinate analysis (PCoA) based on the inferred ARB PhyML tree and an unweighted dataset (i.e., not weighted for species abundance). Analysis of the clone libraries at varying levels of OTU clustering, rarefaction, and reclassification of OTU identities were performed using MOTHUR [14]. 16S rRNA gene sequences are available with the following accession numbers: EF140750-EF140751, EF140753-EF140754, EU052756, EU052761-EU052762, EU052764-EU052765, EU732746, KC295293-KC295413, and KM279011-KM279029. All cultivable strain and clone 16S sequence data were generated and sequenced in 2008, but 16S data were submitted at later dates in relationship to specific manuscript submissions.
2.5. Fluorescence In Situ Hybridisation (FISH)
Cy3 labelled Acidobacteria group specific probe SS_HOL1400 [33] and EUB338 [34] were used in this study. The SS_HOL1400 probe was confirmed by pairwise alignment to have a 100% match to the two Acidobacteria identified in this study (DG1540 and OTU AC472_G8). Briefly, coccolithophore cultures were gently suspended prior to removing ca. 1 mL that was then fixed with formaldehyde (3% final concentration) for 1 hr in the dark at room temperature. Volumes of 10 to 100 μL of fixed cells were then filtered onto 25 mm 0.2 μm track-etched white polycarbonate filters and washed with 10 mL of 0.2 μm filtered deionised water. Filters were air dried, dehydrated in ethanol (50, 80, 100%), and air dried and stored at −20°C. Hybridisation and washing proceeded as described [33, 35]. Hybridised filters were mounted with Vectashield which contains the DNA stain DAPI and antifade agent and viewed by epifluorescence microscopy in the normal way using Axioskop 2plus and images captured using AxioCam HRc and processed using AxioVision (Zeiss) and Cy3 and DAPI composite epifluorescent images compiled and montaged using Adobe Photoshop CS4.
3. Results and Discussion3.1. Community Analysis
Five cultures were sampled for cultivable bacteria and cell pellets frozen at −80°C prior to 16S rRNA gene clone library construction and analysis. Clone libraries were constructed from 16S amplicons produced from a total of 20 thermal cycles to reduce the potential for PCR artefacts and heteroduplexes [36]. A total of 316 clones from four of the five libraries were sequenced leading to the identification of 85 bacterial operational taxonomic units (OTUs) representing five bacterial phyla (Table 2). The Chao-1 estimator of species richness indicated two of the libraries to have ca. 100 phylotypes. Bacterial cultivation using a low organic strength marine agar and extended incubation periods of up to eight weeks were used and increased the overall assessment of total species richness by ca. 33% compared to clone library data alone. Cultivation identified a total of 105 unique isolates (Table 3), and, in comparison to clone library data, cultivation success varied across the different phyla, with ca. 77% of Alphaproteobacteria, 62% of Gammaproteobacteria, and 55% of Bacteroidetes being cultivable. Overall, based on the cultures with clone and cultivation data, a total of 127 phylotypes were identified which results in an average species richness of 32 phylotypes per culture (Table 2).
Bacterial species richness deduced from cultivation and clone library studies.
Coccolithophore
OTUs1
Cultivable
Total
No.
Chao-1
Shannon
Evenness
E. huxleyi
CCAP 920/8
17
18
2.61
0.9212
17
27
RCC 1214
25
103
2.84
0.8823
25
35
RCC 1216
15
18
2.28
0.8419
19
26
C. pelagicus f. braarudii
RCC 1200
28
96
2.76
0.8282
23
39
RCC 1203
ND
ND
ND
ND
21
—
1Number of OTUs, Chao-1, and Shannon index calculated at 0.01 distance as calculated in MOTHUR [14]. Evenness was calculated as (J′)=H′/ln(S), where H′ is Shannon diversity index; S is species richness. ND: not determined.
Bacterial isolates cultivated from E. huxleyi and C. pelagicus f. braarudii.
Strain number
Host
Accession
Taxonomy1
Phylum/class
Family
Genus
Conf.
E. huxleyi
DG1395
CCAP 920/8
KC295338
Alphaproteobacteria
Sphingomonadaceae
Sphingorhabdus
99
DG1397
CCAP 920/8
KC295339
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1398
CCAP 920/8
KC295340
Alphaproteobacteria
Rhodobacteraceae
Loktanella
52
DG1399
CCAP 920/8
KC295341
Flavobacteria
Flavobacteriaceae
Aureitalea
60
DG1400
CCAP 920/8
KC295342
Flavobacteria
Flavobacteriaceae
Maribacter
100
DG1402
CCAP 920/8
EF140754
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1403
CCAP 920/8
KC295343
Gammaproteobacteria
Piscirickettsiaceae
Methylophaga
100
DG1404
CCAP 920/8
KC295344
Gammaproteobacteria
Alcanivoracaceae
Alcanivorax
100
DG1405
CCAP 920/8
KC295345
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
100
DG1406
CCAP 920/8
KC295346
Alphaproteobacteria
Rhodobacteraceae
Sulfitobacter
98
DG1407
CCAP 920/8
KC295347
Alphaproteobacteria
Rhodobacteraceae
Sulfitobacter
32
DG1408
CCAP 920/8
KC295348
Alphaproteobacteria
Phyllobacteriaceae
Hoeflea
100
DG1410
CCAP 920/8
KC295349
Sphingobacteria
Chitinophagaceae
Balneola
100
DG1412
CCAP 920/8
KC295350
Flavobacteria
Flavobacteriaceae
Arenibacter
100
DG1413
CCAP 920/8
KC295351
Sphingobacteria
Flammeovirgaceae
Marinoscillum
100
DG1414
CCAP 920/8
KC295352
Alphaproteobacteria
Rhodobacteraceae
Ahrensia
35
DG1417
CCAP 920/8
EU052756
Alphaproteobacteria
Rhodospirillaceae
Thalassospira
100
DG1442
RCC 1216
KC295353
Alphaproteobacteria
Phyllobacteriaceae
Ahrensia
29
DG1443
RCC 1216
KC295354
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
47
DG1444
RCC 1216
KC295355
Alphaproteobacteria
Rhodobacteraceae
Ahrensia
42
DG1445
RCC 1216
KC295356
Sphingobacteria
Flammeovirgaceae
Fabibacter
82
DG1447
RCC 1216
KC295357
Alphaproteobacteria
Rhodospirillaceae
Nisaea
100
DG1448
RCC 1216
KC295358
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
73
DG1449
RCC 1216
KC295359
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1452
RCC 1216
KC295360
Alphaproteobacteria
Phyllobacteriaceae
Hoeflea
100
DG1453
RCC 1216
KC295361
Alphaproteobacteria
Rhodobiaceae
Roseospirillum
37
DG1457
RCC 1216
KC295362
Gammaproteobacteria
Oceanospirillaceae
Oceaniserpentilla
20
DG1459
RCC 1216
KC295363
Gammaproteobacteria
Gammaproteobacteria
Unclassified
—
DG1462
RCC 1216
KC295364
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
52
DG1468
RCC 1216
KC295365
Alphaproteobacteria
Phyllobacteriaceae
Hoeflea
100
DG1471
RCC 1216
KC295366
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1473
RCC 1216
KC295367
Alphaproteobacteria
Kordiimonadaceae
Kordiimonas
100
DG1475
RCC 1216
KC295368
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
91
DG1476
RCC 1216
KC295369
Alphaproteobacteria
Rhodobacteraceae
Phaeobacter
100
DG1477
RCC 1216
KC295370
Gammaproteobacteria
Gammaproteobacteria
Congregibacter
100
DG1592
RCC 1216
EU052761
Gammaproteobacteria
Alcanivoracaceae
Alcanivorax
100
DG1516
RCC 1214
KC295392
Alphaproteobacteria
Rhodospirillaceae
Nisaea
100
DG1517
RCC 1214
KC295393
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1519
RCC 1214
KC295394
Alphaproteobacteria
Rhodobacteraceae
Oceanicola
65
DG1520
RCC 1214
KC295395
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
47
DG1521
RCC 1214
KC295396
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
100
DG1523
RCC 1214
KC295397
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
100
DG1524
RCC 1214
KC295398
Sphingobacteria
Chitinophagaceae
Balneola
83
DG1525
RCC 1214
KC295399
Alphaproteobacteria
Kordiimonadaceae
Kordiimonas
100
DG1526
RCC 1214
KC295400
Alphaproteobacteria
Sneathiellaceae
Oceanibacterium
44
DG1530
RCC 1214
KC295401
Alphaproteobacteria
Rhodobacteraceae
Oceanicola
14
DG1531
RCC 1214
KC295402
Alphaproteobacteria
Erythrobacteraceae
Altererythrobacter
96
DG1532
RCC 1214
KC295403
Alphaproteobacteria
Rhodobacteraceae
Ahrensia
35
DG1533
RCC 1214
KC295404
Alphaproteobacteria
Rhodobacteraceae
Loktanella
67
DG1534
RCC 1214
KC295405
Gammaproteobacteria
Gammaproteobacteria
Congregibacter
100
DG1536
RCC 1214
KC295406
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1538
RCC 1214
KC295407
Actinobacteria
Acidimicrobiaceae
Ilumatobacter
100
DG1540
RCC 1214
KC295408
Acidobacteria
Acanthopleuribacteraceae
Acanthopleuribacter
100
DG1544
RCC 1214
KC295409
Sphingobacteria
Flammeovirgaceae
Echidna
100
DG1545
RCC 1214
KC295410
Sphingobacteria
Cytophagaceae
Leadbetterella
82
DG1546
RCC 1214
KC295411
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
82
DG1548
RCC 1214
KC295412
Alphaproteobacteria
Rhodospirillaceae
Tistlia
31
DG1588
RCC 1214
KC295413
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
93
DG1593
RCC 1214
EU052762
Gammaproteobacteria
Alcanivoracaceae
Alcanivorax
100
DG1594
RCC 1214
EF140750
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1595
RCC 1214
EF140751
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
C. pelagicus f. braarudii
DG1479
RCC 1200
KC295371
Alphaproteobacteria
Rhodobacteraceae
Oceanicola
70
DG1481
RCC 1200
KC295372
Flavobacteria
Flavobacteriaceae
Tenacibaculum
81
DG1483
RCC 1200
KC295373
Alphaproteobacteria
Sneathiellaceae
Oceanibacterium
51
DG1484
RCC 1200
KC295374
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1486
RCC 1200
KC295375
Alphaproteobacteria
Phyllobacteriaceae
Hoeflea
100
DG1487
RCC 1200
KC295376
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1489
RCC 1200
KC295377
Alphaproteobacteria
Rhodobacteraceae
Ahrensia
46
DG1492
RCC 1200
KC295378
Alphaproteobacteria
Rhodobacteraceae
Sulfitobacter
64
DG1494
RCC 1200
KC295379
Alphaproteobacteria
Rhodospirillaceae
Magnetospira
73
DG1498
RCC 1200
KC295380
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
100
DG1500
RCC 1200
KC295381
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
100
DG1501
RCC 1200
KC295382
Actinobacteria
Acidimicrobidae
Ilumatobacter
100
DG1502
RCC 1200
KC295383
Sphingobacteria
Chitinophagaceae
Balneola
100
DG1503
RCC 1200
KC295384
Alphaproteobacteria
Rhodobacteraceae
Jannaschia
40
DG1504
RCC 1200
KC295385
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
80
DG1506
RCC 1200
KC295386
Alphaproteobacteria
Sphingomonadaceae
Sphingopyxis
55
DG1507
RCC 1200
KC295387
Gammaproteobacteria
Piscirickettsiaceae
Methylophaga
100
DG1510
RCC 1200
KC295388
Flavobacteria
Cryomorphaceae
Wandonia
62
DG1511
RCC 1200
KC295389
Alphaproteobacteria
Rhodobacteraceae
Loktanella
68
DG1512
RCC 1200
KC295390
Gammaproteobacteria
Oleiphilaceae
Oleiphilus
61
DG1513
RCC 1200
KC295391
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
65
DG1597
RCC 1200
EF140753
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1599
RCC 1200
EU052764
Alphaproteobacteria
Rhodobacteraceae
Maritimibacter
59
DG1554
RCC 1203
KM279011
Alphaproteobacteria
Rhodobacteraceae
Marivita
100
DG1555
RCC 1203
KM279012
Alphaproteobacteria
Phyllobacteriaceae
Hoeflea
100
DG1556
RCC 1203
EU732746
Gammaproteobacteria
Alteromonadaceae
Marinobacter
100
DG1557
RCC 1203
KM279013
Alphaproteobacteria
Rhodobacteraceae
Loktanella
74
DG1558
RCC 1203
KM279014
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
55
DG1561
RCC 1203
KM279015
Gammaproteobacteria
Alteromonadaceae
Aestuariibacter
71
DG1562
RCC 1203
KM279016
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
62
DG1563
RCC 1203
KM279017
Alphaproteobacteria
Rhodospirillaceae
Magnetospira
64
DG1564
RCC 1203
KM279018
Alphaproteobacteria
Hyphomonadaceae
Hyphomonas
100
DG1565
RCC 1203
KM279019
Gammaproteobacteria
Oceanospirillaceae
Oceaniserpentilla
16
DG1566
RCC 1203
KM279020
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
46
DG1567
RCC 1203
KM279021
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
100
DG1568
RCC 1203
KM279022
Cytophagia
Flammeovirgaceae
Marinoscillum
100
DG1569
RCC 1203
KM279023
Alphaproteobacteria
Rhodobacteraceae
Loktanella
64
DG1570
RCC 1203
KM279024
Alphaproteobacteria
Rhodobacteraceae
Roseovarius
100
DG1572
RCC 1203
KM279025
Alphaproteobacteria
Rhodobacteraceae
Sulfitobacter
57
DG1575
RCC 1203
KM279026
Gammaproteobacteria
Gammaproteobacteria
Porticoccus
98
DG1576
RCC 1203
KM279027
Cytophagia
Flammeovirgaceae
Marinoscillum
100
DG1579
RCC 1203
KM279028
Flavobacteriia
Cryomorphaceae
Brumimicrobium
54
DG1582
RCC 1203
KM279029
Betaproteobacteria
Burkholderiaceae
Limnobacter
100
1Taxonomic assignment was determined using the RDP II naive Bayesian classifier [15]; Conf.: Bayesian confidence for the rank of genera only is shown.
The bacterial species richness of the coccolithophore cultures was higher than the average range of 17–19 phylotypes per dinoflagellate culture [37, 38] where the same methods were used, and higher than the 9–14 phylotypes that were identified in diatom cultures [39–41], although diatom analyses used denaturing gradient gel electrophoresis which may underestimate species richness compared to clone libraries. Nevertheless, in comparison to dinoflagellates, coccolithophores appear to maintain a more species rich bacterial community. This increased richness could have originated from the presence of higher levels of bacteria attached to coccolithophorid cells when they were isolated from field material. This may be an intrinsic property of the cell surface (e.g., coccolith production) or it could be linked to the method of culture isolation from the field (see materials and methods). Alternatively, it may be because actively growing and calcifying coccolithophores create a more complex biochemical and biophysical environment than do dinoflagellates (e.g., algal exudates, acidic polysaccharides, calcite, and increased surface area), which supports the greater diversity of bacteria observed. Illustrating the role calcified cell plates can have as an attachment point is a report describing the attachment of a nitrogen-fixing cyanobacterial symbiont to its calcifying picoeukaryote host [42].
UniFrac analysis did not detect any significant differences in pairwise comparisons between the total unweighted diversity of the four communities (OTU and cultivable; P=1.0), although each community was clearly separated by UniFrac PCoA (Figure 1(b)). Rarefaction analysis of the shared diversity showed that, at the 0.01 OTU identity level, the rate of new diversity discovered was still increasing (Figure 1(a)), but that at the level of ca. family and below (≤0.10) the amount of shared diversity was nearing an asymptote (Figure 1(a)). This indicates that the communities contained a high proportion of unique species-level microdiversity [36], while the community taxonomic composition at and below the family level is conserved across the cultures. The broad diversity observed may be a product of taxonomically similar groups of bacteria being adapted to or are selected by the coccolithophores. Whereas the fine scale microdiversity seen in the 16S rRNA sequences could possibly be due to the different geographic origins of the cultures (Table 1) or selection of different ecotypes based on adaption to the coccolithophore strains or neutral sequence variation. The origin of this 16S rRNA variation is unknown but could be revealed by more in-depth analyses of a greater number and range of coccolithophore species as well as analysis of genomic variation in some of the diverse clusters [36].
Total bacterial community analysis. (a) Unweighted UniFrac principal coordinate analysis of the total bacterial diversity of E. huxleyi (●) and C. pelagicus f. braarudii (◆) cultures. (b) Rarefaction analysis of shared 16S clone library diversity at OTU clustering levels of 0.01 (black ■), 0.05 (grey ▲), and 0.1 (grey ■) was based on an average of 79 sequenced clones per library.
The bacterial diversity of coccolithophore cultures was spread across five phyla (Figure 2). Species richness was dominated by Alphaproteobacteria (average 53%), of which just under half (43%) belonged to the Roseobacter clade. Gammaproteobacteria (21% on average) and Bacteroidetes (17% on average) comprised the next most prominent taxonomic groups present in all the cultures. Within the Bacteroidetes, Sphingobacteria were present in all cultures, but Flavobacteria were present in only three cultures and were relatively species poor. Betaproteobacteria and Planctomycetes were each identified in three of four cultures. Actinobacteria and Acidobacteria were each present in two cultures. The broad taxonomic composition was similar to that of dinoflagellates [37, 43–45] and diatoms [40, 41, 46] where Alphaproteobacteria dominate, with varying numbers of Bacteroidetes and Gammaproteobacteria. Qualitatively, the gammaproteobacterial composition in the coccolithophore cultures bore a greater similarity to that observed with dinoflagellates than that from diatoms. For example, Marinobacter, Alcanivorax, and oligotrophic marine Gammaproteobacteria- (OMG-) like bacteria were more common in coccolithophore as well as dinoflagellate cultures [12, 37], whereas diatom gammaproteobacterial diversity is more typically dominated by Pseudoalteromonas and Alteromonas [39, 40]. A notable difference of the coccolithophore cultures to that of dinoflagellates and diatoms was that Bacteroidetes diversity of the coccolithophores was dominated by Sphingobacteria (Figure 2) and not Flavobacteria, the latter being typically more prevalent with dinoflagellates and diatoms [47]. This shift in laboratory culture diversity may be a reflection of natural coccolithophore blooms, as the most abundant bacterial taxa (~19%) in the coccolithophore-attached fraction recovered from the Bay of Biscay were Sphingobacteria [48].
Taxonomic composition of the total bacterial community. Percentage species richness was based on the number of unique clone library and cultivable phylotypes identified in each culture.
3.2. Cooccurring Bacterial Taxa: Marivita and Marinobacter
Phylotypes belonging to two phylogenetic clusters were observed in all five cultures. Strains in the first cluster (DG1397, 1449, 1484, 1487, 1517, and 1554) were closely related (≥98.2% identity) to the type strains of the genus Marivita (Figure 3(a)). To date, there is relatively little known about the genus Marivita, but related phylotypes have been identified with a range of algal cultures [24, 38, 49, 50], as well as representing ca. 4–6% of the phylotype abundance in summer and autumn clone libraries from productive surface waters off the north west of Spain [51]. In other work, we have observed that strains of Marivita (as well as other taxa) act as dinoflagellate symbionts promoting dinoflagellate growth (D. Green and C. J. S. Bolch, publication in prep.). Collectively, this suggests that Marivita may have a specific adaptation to associating with phytoplankton, including coccolithophores, and could be analogous to the other Roseobacters that are regarded as algal symbionts, such as Dinoroseobacter shibae [52].
Phylogenetic affiliation (16S rRNA gene) of coccolithophore-associated bacteria, depicting (a) Alphaproteobacteria and (b) Gammaproteobacteria, Betaproteobacteria, Acidobacteria, Actinobacteria, Bacteroidetes, and Planctomycetes. Dendrograms were constructed using a lanePH filtered alignment using maximum likelihood and the HKY model of nucleotide substitution (PhyML). Bootstrap support ≥50% support for the branching is shown. * denotes strains shown to use n-hexadecane as a sole carbon source. Clones (red font) and strains (blue font) identified in this study and representative clones or strains from public databases (black font). Scale bar: 0.05 nucleotide substitutions per base.
The second phylogenetic cluster was cultivable isolates belonging to the gammaproteobacterial genus Marinobacter (Figure 3(b)). Marinobacter have been found with a range of algae, principally dinoflagellates [37, 38, 43, 45, 53] and some diatoms [12]. Despite an apparent algal culture association, their abundance in the marine environment is typically low; for example, the multiyear average in the Western English Channel was ca. 0.18% (min. 0.00% and max. 4.5%) of total pyrosequencing reads [19]. One explanation for this disparity could be that the frequent association with laboratory cultures represents a laboratory-induced artefact caused by algal cultivation that is selecting for Marinobacter, possibly based on their utilisation of algal aliphatics. However, their markedly lower frequency in diatom cultures (~22%, as compared to ≥83% in coccolithophore and dinoflagellate cultures; [12]) argues against their presence being a simple laboratory artefact because algal culture media and methodology are similar for all three algal lineages and this should not cause such a bias. We speculate that Marinobacter have a specific adaptation to coccolithophores and dinoflagellates. As Marinobacter have been recognised in the context of algal-bacterial interactions, such as increasing iron bioavailability to dinoflagellates [12], promoting growth of the dinoflagellate G. catenatum [54] and the cyanobacterium Prochlorococcus [55], this provides some support to the hypothesis that this association represents a specific adaptation to life with these algae.
In the context of applying bacteria to improve the mass cultivation of algae, the evidence from this study and others point toward Marivita and Marinobacter as two candidate bacterial groups that have some potential because of their common cooccurrence with algal cultures, as well as evidence that strains of both genera can have beneficial effects such as growth promotion. Furthermore, neither genus has been linked to antagonistic interactions with algae that we are aware of.
3.3. Hydrocarbon-Degrading Bacteria
In the present study, we sought to identify whether there were hydrocarbon-degrading bacteria present in these cultures, as we have previously observed an association with algae [24]. We identified and confirmed that all the Alcanivorax and Marinobacter strains that were isolated could utilise n-hexadecane as the sole carbon and energy source (Figure 3). This is consistent with a number of reports showing that both genera are important and are often highly abundant in the marine environment during oil spill events (e.g. [56]). Four strains that did not belong to these two genera were also shown to use n-hexadecane: one was a member of the Alteromonadaceae (DG1561), three were members of Alphaproteobacteria belonging to Maritimibacter of the Roseobacter clade (DG1599), and Thalassospira (DG1417) and Nisaea (DG1516) both belonged to the Rhodospirillaceae. This study and others reporting the coassociation of oil-degrading bacteria and algae [24, 57–59] suggest that there may be a specific association between the two. The simplest explanation for this may reflect the fact that many microalgae are lipid-rich [60] and that, in the natural environment, algal cells provide an abundant source of energy-rich aliphatic compounds available to hydrocarbonoclastic bacteria.
The presence of hydrocarbon-degrading bacteria living with algae presents a number of biotechnological opportunities. First, we believe that it is important to understand their ecological relationship to algae in the marine environment and then to use this knowledge to try improving natural oil spill bioremediation: for example, will there be better natural bioremediation of oil spills in regions that are dominated by primary production? Or is the use of iron fertilization during oil spill events beneficial in stimulating both primary production and the associated bacterial community that clearly comprises many key hydrocarbonoclastic bacteria such as Alcanivorax, as well as ensuring a sufficient supply of iron for the iron-requiring alkane hydroxylases of all oil-degrading bacteria [61]? Second, specific genes and activities of oil-degraders can potentially be exploited for biosurfactant, bioemulsifier [62, 63], or polyhydroxyalkanoate production [64], or the potential development of alkane hydroxylases to catalyze difficult-to-synthesize molecules [65]. While hydrocarbon-degrading strains from coccolithophores have not been explored for polycyclic aromatic hydrocarbon (PAH) degradation, related research with other algae shows that they do harbor highly fastidious PAH degrading bacteria [58, 59]. Overall, coccolithophore and other phytoplankton cultures are a useful starting point for bioprospecting for specialist hydrocarbon-degrading microorganisms. They may also be used as model systems to study the ecological underpinnings of this interrelationship, with the aim to use this knowledge to help enhance oil bioremediation.
3.4. Atypical Bacterial Taxa
A number of the phylotypes identified were not typical of bacterial taxa found previously with algal cultures. First was the identification of two phylotypes belonging to the phylum Acidobacteria (Figure 3(b)), which have not previously been identified in any algal culture. OTU AC472G8 was affiliated to Group IV Acidobacteria, which appear to be rare in the marine environment (e.g., the closest marine phylotypes is DQ071127; 95.6% id). The other Acidobacteria, DG1540 (KC295408), was affiliated to the Holophagales (group VIII). This isolate was cultivated on the low organic strength marine agar ZM/10 at ca. pH 7.8. Subsequent cultivation experiments with this strain demonstrated that it did not grow at pH values below pH 7.0 but grew abundantly up to pH 9.5, the highest pH tested (data not shown). This indicates that while it is related to the phylum Acidobacteria, it is not acidophilic as is characteristic of this phylum. The closest 16S rRNA gene sequences to DG1540 were all marine and belonged to coral-associated bacterial clones (FJ202764.1, FJ203188.1; 89.3 and 88.4% id resp.), a sponge-associated bacterial isolate (EF629834; 95.6% id), and Acanthopleuribacter pedis (AB303221; 88.6% id) isolated from a marine chiton [66]. The second atypical taxon was two cultivable Actinobacteria strains (DG1501 and DG1538) affiliated to the family Acidimicrobidae. A single Acidimicrobidae OTU (DQ376149; 97.0% id) has previously been identified in a diatom culture. Related Acidimicrobidae OTUs and isolates have been found in a range of marine samples (Table 4), including corals (GU118194; ca. 92.9% id), sponges (EU236418; ca. 94.8% id), marine sediment (AB286031; ca. 96.8% id), and surface waters (GQ850547 and DQ372838; ca. 98.1 and 94.5% id resp.). Third, a gammaproteobacterial OTU affiliated to Thermomonas was identified in one culture only. This genus has been identified in thermal springs [67] and at several oceanic stations and in microbial mat communities (Table 4). Fourth, two OTUs belonging to the genus Schlegelella (Betaproteobacteria) were identified in two separate cultures. Like Thermomonas, this genus has been observed in mineral springs [67, 68] and has been recorded in the marine environment from the same sites as Thermomonas (Table 4). Finally, three very closely related OTUs (≥97.5% ID) affiliated to the Methylophilaceae (Betaproteobacteria) were identified but not cultured. These OTUs are distantly related to the well-described OM43 clade (≥87.9% ID) of obligate methylotrophic bacteria linked with phytoplankton blooms [69], and, to our knowledge, only a single related OTU has previously been identified in an algal culture (KEppi37, AF188168; [43]).
Biogeography of rare bacterial taxa in the marine environment.
Project1
Acidobacteria
Acidimicrobiales
Schlegelella
Thermomonas
ICoMM surface seawater (≤50 m)
CAM
0.006
0.215
0
0.009
AWP
0.010
0.327
0
0
AOT
0.005
3.248
0
<0.001
ABR
0.001
1.435
0
0
LCR
0.038
2.696
0.004
0.008
PML
0.054
0.726
0.001
<0.001
ICoMM coral, sponge, and microbial mats
CCB
1.368
1.065
0
0
CMM
0.955
6.806
0.001
0.002
SPO
7.718
5.318
0
0
1Average percentage abundance identified from each ICoMM project, normalised for sequencing effort. Data was compiled from publically accessible data at ICoMM Marine Microbes Database (http://vamps.mbl.edu/). CAM: census of Antarctic marine life [16]; AWP: Azores water profile; AOT: Atlantic Ocean transect; ABR: active but rare (Nth and Sth Pacific) [17]; LCR: latitudinal gradient from South Atlantic to the Caribbean [18]; PML, English Channel L4, UK [19]; CCB: microbial diversity in Caribbean coral species; CMM: coastal microbial mats; SPO: marine sponge-associated bacteria [20].
As the observation of Acidobacteria in algal cultures was apparently unusual, an additional three E. huxleyi cultures were screened using a phylum-level Acidobacteria FISH probe, these were LY1_05 (LY1 2005, Oban, Scotland), Bergen_05_08 (Bergen Mesocosm, 2008, Norway), and CS_08 (Celtic Sea 2008, UK). The positive control, DG1540 (Figure 4(a)), was identified in RCC1214 from where it had originally been isolated (Figure 4(b)). However, Acidobacteria were not detected in RCC1216 from which the group IV acidobacterial OTU AC472G8 had been identified. Acidobacteria were detected in the Bergen mesocosm culture isolated in 2008 (Bergen _05_08) (Figure 4(c)).
Composite DAPI-Cy3 FISH detection of Acidobacteria in coccolithophore cultures. (a) Positive control DG1540 (isolated from E. huxleyi RCC1214). (b) E. huxleyi RCC1214 culture and (c) E. huxleyi Bergen_05_08 (Bergen mesocosm, 2008). Arrowheads indicate Acidobacteria cells present on the DAPI-Cy3 composite images. Scale bar: 2 μm.
The presence of Acidobacteria (DG1540 and AC472G8, as well as FISH detection in one other E. huxleyi culture; Figure 4) and the Acidimicrobidae (Actinobacteria) led us to consider why putatively acidophilic bacteria were associated with E. huxleyi. We speculate that this may reflect a pattern of finding marine Acidobacteria associated with calcareous organisms or structures such as the chiton [66], corals [70], and stromatolites [71]. The reasons for their association with carbonate structures are unclear, but these organisms may be involved in catabolizing the organic matrix associated with the coccoliths and potentially driving calcite dissolution through acid production [72]. The observation of Schlegelella and Thermomonas in the cultures may also be attributable to calcification in the cultures because both Schlegelella and Thermomonas OTUs have been isolated from thermal spring waters containing a high mineral and carbonate loading [67, 68]. As both genera have been identified by pyrosequencing from marine environmental samples (Table 4), this suggests that their presence could be related to the high mineral content of calcifying coccolithophores and not the product of external contamination of the cultures.
The lack of phylogenetic coherence amongst the atypical taxa detected does not appear to be an ecological pattern, but we suggest that, from the biochemical associations of related taxa to those detected in this study (Figure 3(b)), this points at carbonate chemistry as the most likely reason explaining their presence. This may also explain why these taxa have not previously been identified with diatoms and dinoflagellates, because the latter are not calcifying organisms. Thus, we speculate that the atypical taxa such as Acidobacteria, Schlegelella, and Thermomonas are evidence that actively calcifying coccolithophores chemically and physically structure the bacterial community to include organisms adapted to calcareous material. This is analogous to the way in which diatom exudates structure the bacterial associates in culture [40] and of estuarine sediments [73].
Cultivation of DG1540 and related Acidobacteria (N2yML4; EF629834) from sponge aquaculture [74] represent a potentially valuable biotechnological and ecological resource because of their taxonomic relationship to prevalent groups of bacteria in sponge and coral microbial communities [20, 75]. Whether or not these Acidobacteria produce secondary metabolites is of clear interest given the importance of the marine sponge microbiome for production of a wide range of novel chemical entities [76]. However, cultivation of these and other marine Acidobacteria has clearly been sporadic (totalling three: this study, Mohamed et al. 2008 [74], and Fukunaga et al. 2008 [66]) despite the many efforts to cultivate sponge and coral bacteria. This indicates a need to develop different primary isolation media and strategies to improve discovery of these and related Acidobacteria, as well as the other atypical taxa identified in this study. The inclusion of solid carbonate (or siliceous) material in agar or in liquid enrichment media may be one starting point; and addition of 5% CO2 (v/v) has been successfully used to improve isolation of soil Acidobacteria [77]. The question of whether all or any marine Acidobacteria are acidophilic is unclear given that ambient seawater pH is typically nearer to pH 8 and the evidence that DG1540 would not grow below pH 7. Genomic analysis of DG1540 is now underway, and this data will be mined to address questions of their ecological, metabolic and biotechnological potential, as well as contribute to cultivation efforts of related marine Acidobacteria found with corals and sponges.
4. Conclusions
The present study is the first to catalogue the bacterial diversity associated with two important species of coccolithophorid phytoplankton. It revealed that both E. huxleyi and C. pelagicus f. braarudii cultures had relatively species rich bacterial communities compared to dinoflagellates. It identified a number of bacterial taxa not previously detected in other phytoplankton cultures and included the unexpected finding of a number of putatively acidophilic bacteria. Overall, this is suggested to signify that coccolithophores possess a greater range of available niches, as well as novel niches, compared to other kinds of phytoplankton such as dinoflagellates and diatoms. It is proposed that the presence of some of the atypical taxa may represent selection of specific bacterial taxa adapted to the active calcification occurring in these coccolithophore cultures. The cultures were observed to share bacterial diversity with other algal cultures, most notably, dinoflagellates. Two genera, Marinobacter and Marivita, were observed to occur in all of the coccolithophore cultures, and whilst these genera may be a product of laboratory culture induced artefacts, closely related bacteria have been shown to benefit dinoflagellate and Prochlorococcus growth, suggesting that the common occurrence of these bacteria may represent a specific interdependence between the bacteria and algae. Hydrocarbon-degrading bacteria were found in all cultures, and, most notably, each E. huxleyi culture had a closely related strain of Alcanivorax, a well-known and highly fastidious oil-degrading bacterium.
Knowledge of the biodiversity contained within these coccolithophore cultures has a number of potential uses, that include the types of bacteria that could be employed to improve the efficiency of mass cultivation of marine algae, and, as a model system to help uncover the ecological relationship of why oil-degrading bacteria cooccur with phytoplankton, and how this knowledge may be used to improve oil-spill bioremediation. Furthermore, the cultivation of a marine bacterium related to Acidobacteria found with marine sponges represents a rare opportunity to understand more about the ecology of these bacteria and to explore the biotechnological potential this may entail.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
The authors are grateful to I. Probert (AlgoBank) and C. Campbell (CCAP) for algal strain provision. Virginia Echavarri-Bravo was very kindly supported by a SAMS Research Bursary. DNA sequencing was supported by a UK Natural Environment Research Council (NERC) NBAF facilities access Grant no. 5172 and NERC Oceans 2025 funding.
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