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Bacterial community analysis in environmental monitoring programs: a useful approach?

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Alfred-Wegener-Institute

for Polar- and Marine Research Helmholtz-Association

Biological Station Helgoland Shelf See Systems Ecology D-27489 Helgoland

Rebecca Störmer*, Antje Wichels*, Gunnar Gerdts*

*Alfred-Wegener Institute for Polar- and Marine Research, Helgoland, Germany;

Fig. 5 (A) Bar chart showing the percentage of detected functional genes

(B) Differences were tested applying the analysis of variance and post hoc Tukey tests (p<0.05)

Results

Dumping centre:

Low alpha-diversity as revealed by ribosomal tag-sequencing

Remarkably high numbers of sequences affiliated to Desulfuromonadaceae

Significantly lower diversity in functional genes as compared to a reference site

Bacterial community analysis in environmental monitoring programs: a useful approach?

Detailed investigations at a dumping site

Fig. 1 (A)Dumping site in the German Bight and the dredging zone (Elbe River), (B) Sampling scheme of monitoring at the dumping site. Red stars represent samples subjected to 16S ribosomal tag-sequencing and functional gene array (GeoChip 4.2)

Conclusion

Dumping activities affect structure and function of bacterial communities favoring a less diverse but possibly more specialised community

Bacterial community analyses represent a promising tool for the assessment of perturbation

We recommend the inclusion of bacterial community analyses in monitoring programs

B A

Fig. 2 Pie charts showing the percentage of sequences (0.97) affiliated to (A) Proteobacteria, (B) Deltaproteobacteria and (C) the orders Desulfuromonadales and Desulfobacterales derived from tag-sequencing.

GeoChip 4.2 approach

Ribosomal tag-sequencing

A

Family distribution

Desulfuromonadales and Desulfobacterales Order distribution Deltaproteobacteria

Class distribution Proteobacteria

Elbe

dum ping

cent re

1.5 km 2 km_1

2 km_2 3 km_1

3 km_2 Referenc

e_1

Referenc e_2

No OTUs

0 500 1000 1500 2000 2500

Fig. 3 Number of OTUs (0.97) derived from tag- sequencing

Fig. 4 Hierarchical cluster analysis of functional genes. I) Elbe II) dumping centre and 1.5 km, 2 km_1, 3 km_2 III) reference and 2 km_2, 3 km_1. Probes which showed positive signals a) in all samples b) in the Elbe, c) in the dumping centre and d) in the reference

A

B

C

Elbe dumping centre 1.5 km 2 km_1 2 km_2 3 km_1 3 km_2 Reference_1 Reference_2

Elbe 0.000 0.000 0.000 0.000 0.012 0.000 0.311 0.240

dumping centre 0.000 0.999 1.000 0.947 0.002 1.000 0.000 0.000

1.5 km 0.000 0.999 0.999 0.684 0.001 0.951 0.000 0.000

2 km_1 0.000 1.000 0.999 0.952 0.002 1.000 0.000 0.000

2 km_2 0.000 0.947 0.684 0.952 0.022 0.999 0.001 0.001

3 km_1 0.012 0.002 0.001 0.002 0.022 0.006 0.714 0.805

3 km_2 0.000 1.000 0.951 1.000 0.999 0.006 0.000 0.000

Reference_1 0.311 0.000 0.000 0.000 0.001 0.714 0.000 1.000

Reference_2 0.240 0.000 0.000 0.000 0.001 0.805 0.000 1.000

Introduction

From 2005 to 2010 6 mio m³ of dredged material were dumped 15 kilometres south off Helgoland in the German Bight (North Sea). Dumping activities may cause physical disturbance, including burial of benthic organisms and changes in substrate matter, affecting all benthic communities. The monitoring programs of dumping sites base on international conventions (London convention) for dredged material handling. These recommend the assessment of defined physical, chemical and biological parameters to examine the impact of the disposal. Bacterial communities are disregarded by these recommendations. In an interdisciplinary project with environmental agencies we investigated the bacterial community response to dumping activities. Our study aims to assess the suitability of bacterial communities as a proxy for perturbation events and consequently for the applicability in monitoring programs. We applied 16S ribosomal tag-sequencing and functional gene arrays (GeoChip 4.2) to investigate structure and function of bacterial communities at the dumping site.

B SQ FG MQ F p

constant 2.652 1 2.652 48908.440 0.000

Sample 0.012 8 0.002 28.064 0.000

Error 0.001 18 0.000

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