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      Microbial Diversity and Parasitic Load in Tropical Fish of Different Environmental Conditions

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          Abstract

          In this study we analysed fecal bacterial communities and parasites of three important Indonesian fish species, Epinephelus fuscoguttatus, Epinephelus sexfasciatus and Atule mate. We then compared the biodiversity of bacterial communities and parasites of these three fish species collected in highly polluted Jakarta Bay with those collected in less polluted Indonesian areas of Cilacap ( E. sexfasciatus, A. mate) and Thousand Islands ( E. fuscoguttatus). In addition, E. fuscoguttatus from net cages in an open water mariculture facility was compared with free living E. fuscoguttatus from its surroundings. Both core and shared microbiomes were investigated. Our results reveal that, while the core microbiomes of all three fish species were composed of fairly the same classes of bacteria, the proportions of these bacterial classes strongly varied. The microbial composition of phylogenetically distant fish species, i.e. A. mate and E. sexfasciatus from Jakarta Bay and Cilacap were more closely related than the microbial composition of more phylogentically closer species, i.e. E. fuscoguttatus, E. sexfasciatus from Jakarta Bay, Cilacap and Thousand Islands. In addition, we detected a weak negative correlation between the load of selected bacterial pathogens, i.e. Vibrio sp. and Photobacterium sp. and the number of endoparasites. In the case of Flavobacterium sp. the opposite was observed, i.e. a weak positive correlation. Of the three recorded pathogenic bacterial genera, Vibrio sp. was commonly found in E. fuscoguttatus from mariculture, and lessly in the vicinity of the net cages and rarely in the fishes from the heavily polluted waters from Jakarta Bay. Flavobacterium sp. showed higher counts in mariculture fish and Photobacteria sp. was the most prominent in fish inside and close to the net cages.

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          Most cited references17

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          Evidence for a core gut microbiota in the zebrafish.

          Experimental analysis of gut microbial communities and their interactions with vertebrate hosts is conducted predominantly in domesticated animals that have been maintained in laboratory facilities for many generations. These animal models are useful for studying coevolved relationships between host and microbiota only if the microbial communities that occur in animals in lab facilities are representative of those that occur in nature. We performed 16S rRNA gene sequence-based comparisons of gut bacterial communities in zebrafish collected recently from their natural habitat and those reared for generations in lab facilities in different geographic locations. Patterns of gut microbiota structure in domesticated zebrafish varied across different lab facilities in correlation with historical connections between those facilities. However, gut microbiota membership in domesticated and recently caught zebrafish was strikingly similar, with a shared core gut microbiota. The zebrafish intestinal habitat therefore selects for specific bacterial taxa despite radical differences in host provenance and domestication status.
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            Environmental and ecological factors that shape the gut bacterial communities of fish: a meta-analysis.

            Symbiotic bacteria often help their hosts acquire nutrients from their diet, showing trends of co-evolution and independent acquisition by hosts from the same trophic levels. While these trends hint at important roles for biotic factors, the effects of the abiotic environment on symbiotic community composition remain comparably understudied. In this investigation, we examined the influence of abiotic and biotic factors on the gut bacterial communities of fish from different taxa, trophic levels and habitats. Phylogenetic and statistical analyses of 25 16S rRNA libraries revealed that salinity, trophic level and possibly host phylogeny shape the composition of fish gut bacteria. When analysed alongside bacterial communities from other environments, fish gut communities typically clustered with gut communities from mammals and insects. Similar consideration of individual phylotypes (vs. communities) revealed evolutionary ties between fish gut microbes and symbionts of animals, as many of the bacteria from the guts of herbivorous fish were closely related to those from mammals. Our results indicate that fish harbour more specialized gut communities than previously recognized. They also highlight a trend of convergent acquisition of similar bacterial communities by fish and mammals, raising the possibility that fish were the first to evolve symbioses resembling those found among extant gut fermenting mammals. © 2012 Blackwell Publishing Ltd.
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              Is a healthy ecosystem one that is rich in parasites?

              Historically, the role of parasites in ecosystem functioning has been considered trivial because a cursory examination reveals that their relative biomass is low compared with that of other trophic groups. However there is increasing evidence that parasite-mediated effects could be significant: they shape host population dynamics, alter interspecific competition, influence energy flow and appear to be important drivers of biodiversity. Indeed they influence a range of ecosystem functions and have a major effect on the structure of some food webs. Here, we consider the bottom-up and top-down processes of how parasitism influences ecosystem functioning and show that there is evidence that parasites are important for biodiversity and production; thus, we consider a healthy system to be one that is rich in parasite species.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2016
                28 March 2016
                : 11
                : 3
                : e0151594
                Affiliations
                [1 ]Cell and Molecular Biology, Leibniz-Institute for Natural Product Research and Infection Biology, Jena, Germany
                [2 ]Friedrich-Schiller-University, Jena, Germany
                [3 ]Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany
                [4 ]Faculty of Veterinary Medicine, Udayana University, Kampus Bukit Jimbaran, Indonesia
                [5 ]Australian Centre for Ancient DNA, University of Adelaide School of Biological Sciences, Adelaide, Australia
                Yeungnam University, REPUBLIC OF KOREA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: PH GM HPS HWP ST SK. Performed the experiments: GM ST SK. Analyzed the data: PH ST SK. Contributed reagents/materials/analysis tools: PH ST SK. Wrote the paper: PH MAA HPS HWP ST SK.

                Article
                PONE-D-15-50660
                10.1371/journal.pone.0151594
                4809571
                27018789
                b17916a8-84b1-408d-9ef7-385f7dd1eff1
                © 2016 Hennersdorf 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.

                History
                : 20 November 2015
                : 1 March 2016
                Page count
                Figures: 4, Tables: 3, Pages: 18
                Funding
                Financial support was provided through the German Academic Exchange Service (DAAD) (ST) German Federal Ministry for Education and Science within the framework of the joint Indonesian-German research programs SPICE III - MABICO (Science for the Protection of Indonesian Coastal Marine Ecosystems, BMBF Grant Nos. 03F0641B, 03F0641D).
                Categories
                Research Article
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbiome
                Biology and Life Sciences
                Genetics
                Genomics
                Microbial Genomics
                Microbiome
                Biology and Life Sciences
                Microbiology
                Microbial Genomics
                Microbiome
                Biology and Life Sciences
                Agriculture
                Aquaculture
                Mariculture
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Fishes
                Marine Fish
                Biology and Life Sciences
                Marine Biology
                Marine Fish
                Earth Sciences
                Marine and Aquatic Sciences
                Marine Biology
                Marine Fish
                Medicine and Health Sciences
                Parasitic Diseases
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Shannon Index
                Biology and Life Sciences
                Organisms
                Bacteria
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogenesis
                Host-Pathogen Interactions
                Custom metadata
                We confirm that all relevant data has been included within the paper and Supporting Information files. In the paper, we have mentioned accession numbers that are linked to the storage of RAW data from the microbiome analysis. Raw sequence data are deposited at NCBI’s Short Read Archive under accession number SRP059667.

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                Uncategorized

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