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      Bacterial Communities in Polluted Seabed Sediments: A Molecular Biology Assay in Leghorn Harbor

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          Abstract

          Seabed sediments of commercial ports are often characterized by high pollution levels. Differences in number and distribution of bacteria in such areas can be related to distribution of pollutants in the port and to sediment conditions. In this study, the bacterial communities of five sites from Leghorn Harbor seabed were characterized, and the main bacterial groups were identified. T-RFLP was used for all samples; two 16S rRNA libraries and in silico digestion of clones were used to identify fingerprint profiles. Library data, phylogenetic analysis, and T-RFLP coupled with in silico digestion of the obtained sequences evidenced the dominance of Proteobacteria and the high percentage of Bacteroidetes in all sites. The approach highlighted similar bacterial communities between samples coming from the five sites, suggesting a modest differentiation among bacterial communities of different harbor seabed sediments and hence the capacity of bacterial communities to adapt to different levels and types of pollution.

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          Most cited references47

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          Ecological Diversity and Its Measurement

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            Report of the ad hoc committee for the re-evaluation of the species definition in bacteriology.

            An ad hoc committee for the re-evaluation of the species definition in bacteriology met in Gent, Belgium, in February 2002. The committee made various recommendations regarding the species definition in the light of developments in methodologies available to systematists.
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              Quantitative comparisons of 16S rRNA gene sequence libraries from environmental samples.

              To determine the significance of differences between clonal libraries of environmental rRNA gene sequences, differences between homologous coverage curves, CX(D), and heterologous coverage curves, CXY(D), were calculated by a Cramér-von Mises-type statistic and compared by a Monte Carlo test procedure. This method successfully distinguished rRNA gene sequence libraries from soil and bioreactors and correctly failed to find differences between libraries of the same composition.
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                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                Hindawi Publishing Corporation
                1537-744X
                2013
                8 October 2013
                : 2013
                : 165706
                Affiliations
                1Department of Biology, Unit of Protistology-Zoology, University of Pisa, via Luca Ghini 13, 56126 Pisa, Italy
                2Department of Engineering for Energy, Systems, Territory and Constructions, University of Pisa, via Carlo Francesco Gabba 22, 56122 Pisa, Italy
                Author notes

                Academic Editors: Y. Nishita, S. A. Stephenson, and Y. Xi

                Author information
                http://orcid.org/0000-0001-5180-2562
                http://orcid.org/0000-0002-3247-3799
                Article
                10.1155/2013/165706
                3817660
                75361b34-ae80-45f4-981f-9b563ae12250
                Copyright © 2013 Carolina Chiellini et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 July 2013
                : 22 August 2013
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