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Diversity and Succession of Bacterial Populations in Microalgae Cultures

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Communities in the examined cultures did not change substantially during sampling period. Although microalgae cells lost fitness over time bacterial composition was stable with little differences regarding starting point.

Diversity and Succession of Bacterial Populations in Microalgae Cultures

Melanie Sapp1, Anne Schwaderer1, Karen H. Wiltshire1, Hans-Georg Hoppe2, Antje Wichels1, Gunnar Gerdts1

msapp@awi-bremerhaven.de

1Alfred-Wegener Institute Foundation for Polar and Marine Research, Biological Institute Helgoland, Helgoland, Germany 2Institute of Marine Science, Kiel, Germany

Introduction

Marine bacteria play an important role in food webs especially with regard to nutrient cycling. Latest investigations reveal specific populations of bacteria associated with microalgae. These bacteria live in the phycosphere and feed on algal exudates. But mechanisms controlling the community composition are still poorly understood. In this study we examined bacterial association with microalgae with focus on changes in bacterial community composition during different growth phases of the algae. We investigated 10 freshly isolated key species (diatoms and dinoflagellates) off Helgoland Roads.

References

Grossart, H.P. (1999) Interactions between marine bacteria and axenic diatoms (Cylindrotheca fusiformis, Nitzschia laevis, and Thalassiosira weissflogii). Aquatic microbial Ecology 19, 1-11 Fandino, L.B., Riemann, L., Steward, G.F., Long, R.A., Azam, F. (2001) Variations in bacterial community structure during a dinoflagellate bloom analyzed by DGGE and 16S rDNA sequencing.

Aquatic Microbial Ecology 23, 119-130

Schäfer, H., Abbas, B., Witte, H., Muyzer, G. (2002) Genetic diversity of 'satellite' bacteria present in cultures of marine diatoms. FEMS Microbiology Ecology 42, 25-35

Ranjard, L., Brothier, E., Nazaret, S. (2000) Sequencing bands of Ribosomal Intergenic Spacer Analysis Fingerprints for characterization and microscale distribution of soil bacterium populations responding to mercury spiking. Applied and Environmental Microbiology 66, 5334-5339

Acknowledgements

We are grateful for donations of isolated microalgae from Mona Hoppenrath. We would like to thank Karl-Walter Klings and Hilke Döpke for their assistance.

Presentation of this work was kindly supported by

Helgoland Food Web Project

Conclusions

Analysis of RISA profiles revealed specificity of composition of bacterial communities in studied microalgae cultures.

Additionally the fractions of attached and free living bacteria could be distinguished.

Generally they seem to be very similar. Only few bacteria occur in one fraction of the culture. Bacteria occuring in both fractions are probably loosely attached, whereas populations found only in the fraction > 3 µm are assumed to be associated more closely.

During culturing of algae the community structure of bacteria did not change according to changes within the cultures. We assume that bacterial populations have to adapt physiologically to different conditions like availability of exudates they feed on.

In order to complete community information important DGGE bands which could not be sequenced will be analyzed after cloning.

Investigating axenic cultures considering the impact for the algae will be the next step.

Studies of bacteria – phytoplankton associationsin situ will follow.

Methods

In order to follow the development of algae we recorded their morphology and their photosynthesis efficiency using pulse amplitude modulation. Diversity and succession of bacteria were analyzed by rDNA internal spacer analysis (RISA) and denaturating gradient gel electrophoresis (DGGE).

Helgoland

Dune

Helgoland and Dune Helgoland Roads

Fig. 1: Study site and sampling point in the German Bight, Helgoland

Microalgae cultures in f/2 at 16 °C, 12h/12h

Community Analysis

RISA: length polymorphism of intergenic spacer region (IGS)

DGGE: 16S rDNA, 500 bp, excised bands: sequence;

denaturing gradients: 15-70 % urea / formamide

16S rDNA gene rDNA Spacer 23S rDNA gene

Cultivation in batch over 8 weeks

Sampling t0and after week 1, 2, 3, 4, 8 Successive filtration

3 µm / 0.2 µm ÖDNA of organisms > 3 µm

attached bacteria ÖDNA of organisms < 3 µm

free living bacteria Investigated species

Guinardia delicatula Pseudonitzschia pungens

Corethron hystrix Diatoms

Thalassiosira rotula Rhizosolenia pungens Skeletonema costatum Ceratium fusus

Ceratium horridum Dinoflagellates Gymnodinium sanguineum

Thalassiosira rotula 04/02

Fitness of T. rotula

0.000 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0.800

-1 1 3 5 7 9

time [weeks]

yield PS II

Fig. 4: Photosynthesis efficiency of Thalassiosira rotula using PAM

Fig.3: RISA profiles of IGS gene fragments amplified fromT. rotula isolated in April 2002, left: DNA < 3 µm > 0.2 µm representing free bacteria, right: DNA > 3 µm representing attached bacteria.

0 = starting point, 1 / 2 / 3 = cultures in parallel

ladder 100 bp 2072 bp 1500 bp

700 bp

300 bp

P earson correlation [0.0%-100.0%]

RISA

10099

98

97

96

95

94

93

92

91

90

89

88

87

86

85

84

83

82

81

80

79

78

. . . .

. . Thalassios.

Thalassios.

Thalassios.

Thalassios.

Thalassios.

Thalassios.

rotu.

rotu.

rotu.

rotu.

rotu.

rotu.

D1_0.2µm_W1 D2_0.2µm_W1 D_0.2µm_W0 D3_0.2µm_W1

D1_0.2µm_W8 D1_0.2µm_W3

T. rotula attached, week 2-8 T. rotula attached, start + week 1 T. rotula free, start + week 1 T. rotula free, week 2-8 T. rotula free P.1, week 3+8

Fig. 5: Dendrogram generated from RISA profiles of T. rotula containing profiles of all sampling dates, fraction > 3 µm and < 3µm > 0.2 µm using Pearson Correlation and UPGMA, generell similarity: 78 % Differences in community structure regarding free living and attached bacteria become obvious at week 2.

Fig. 2: Dendrogram generated from RISA profiles of 8 studied microalgae cultures containing profiles of fraction > 3 µm and < 3µm > 0.2 µm after week 8 using Pearson Correlation and UPGMA, generell similarity: 77 %

Bacterial communities of different algae cultures show specificity in their composition.

Results

Tab.1: Closest relatives of 16S rDNA sequences found in a culture of T. rotula yellow: sequences found in both fractions

Blue: sequences found only in the fraction of „attached“ bacteria

0 1 2 3 3 4 4 8 8 week

Fig.6: DGGE profile of 16S rDNA fragments amplified fromT. rotula,

DNA > 3 µm

In the case of T. rotula 04/02 we found a diversity of 9 to 10 operational taxonomic units.

Only two of the 16S rDNA defined populations were found only as attached bacteria.

Major phylogenetic groups were α-, γ- Proteobacteria and the Cytophaga-Flexibacter- Bacteroides group.

DGGE band Phylogenetic

group Closest relative Similarity [%]

Based positions compared

GenBank accession number of closest relative

26 CFB Ulvibacter

litoralis

95 535 AY243096

27 Chloroplast Thalassiosira 28

40 42

α-Proteobacteria Sulfitobacter sp.

95 482 AJ542658

31 γ-Proteobacteria Halomonas venusta

96 415 AJ306894

34 γ-Proteobacteria Pseudoalteromonas

sp. 82 444 AJ244742

41 CFB Aequorivita

lipolytica

97 530 AY027805

35

43 α-Proteobacteria Sphingomonas flavimaris

94 532 AY554010

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